No full-text available
To read the full-text of this research,
you can request a copy directly from the authors.
Effects of lead-usership on the acceptance of media innovations: A mobile augmented reality case
Abstract
Lead-users are ahead of important trends, which makes them valuable resources when it comes to generate ideas for new products in the early stages of a company's new product development process. In later stages-e.g. just before market entry when prototypes of the new products are available and can be tested-the company's market research usually focuses on average users or representative samples of users since their measured acceptance of the prototypes can be used to predict sales volumes or market shares. However, in the media industry, prototypes of new products are often made publically available as alpha or beta versions and may especially attract high shares of lead-users for testing. In this paper we analyze the potential effects of these biased samples on the prediction of sales volumes or market shares. A sample of lead-users and other users tests the prototype of a mobile augmented reality app. Then, the acceptance of this media innovation is measured applying a lead-usership extended version of the UTAUT2 model. Our results show that behavioral intention and the effects of influencing factors substantially differ between lead-users and other users. We argue that knowing these differences can help to reduce risks of biased prediction of sales volumes or market shares.
... Ref. [41] probed into how various factors impact the acceptance of media technologies, particularly in the realm of mobile AR. They discerned that these elements had a moderating effect on usage intentions. ...
... The current study seeks to identify the determinants of Metaverse platform adoption intentions in Vietnam, utilizing the UTAUT2 model as its framework. Numerous past research vouch for the UTAUT2 model's aptness as a foundational model for such investigations [41][42][43][44][45][46][47]. ...
... Critical mass theory posits that individuals' actions and behaviors are swayed by group decisions, emphasizing that social influence is a pivotal factor in personal choices [55]. When it comes to technological advancements and system upgrades, individuals often lean toward the consensus of their peers [41,56]. Thus, social influence is recognized as a potent driver in shaping decisions related to new technologies, guiding individuals toward well-informed judgments in product and service adoption [57,58]. ...
The Metaverse is a blend of our tangible and digital worlds, marking the upcoming direction of the internet sector. This study strives to identify the elements that affect the uptake of Metaverse platforms in Vietnam. To that end, we pinpointed the factors influencing usage intentions using the Extended Unified Theory of Acceptance and Use of Technology (UTAUT2) model and added a new “switching cost” variable. We gathered and examined data from 520 participants, with 230 from Generation Y (Gen Y) and 290 from Generation Z (Gen Z) using the multi-group analysis in structural equation modeling. The findings reveal that elements such as effort expectancy, performance expectancy, facilitating conditions, hedonic motivation, and value price positively affect the intent to embrace Metaverse platforms. While social influence does not impact the entire dataset, it positively influences Gen Y’s intention. On the other hand, the switching cost acts as a hindrance to adopting Metaverse platforms. It is also noteworthy that significant variations exist between Gen Y and Gen Z concerning these factors. These observations are crucial for industry leaders looking to capitalize on the immense opportunities of Metaverse platforms for sustainable growth in the internet sector.
... UTAUT2 is applied to a further object of investigation and is thus further validated in another consumer use context, which is a research task originally demanded for by the developers of UTAUT2 and other researchers [Hong et al. (2014); Mütterlein et al. (2019);Venkatesh et al. (2012Venkatesh et al. ( , 2016]. We further add to the literature on technology acceptance by introducing a modern look at the term technology, and thereby reply to a call for contextualization [Hong et al. (2014)]. ...
... Second, hedonic motivation shows a substantial positive in°uence. The strong impact of the hedonic motivation is similar to the results of previous acceptance studies, which were conducted in the media sector [Indrawati and Haryoto (2015); Mütterlein et al. (2019); Putzke et al. (2010)]. Nevertheless, these studies primarily investigate media of entertaining character (e.g. ...
... Another possible limitation of this study is that its data is based on consumer self-reporting, which could theoretically include socially desirable behavior and strategic response behavior, although no direct connections between dependent and independent variables were revealed to the respondents. Because of the successful new operationalization of technology from the view of the user, future research could also include other potentially important dependent constructs that aim at understanding a user's psychology, such as°ow or immersion [Mütterlein et al. (2019)], as well as testing UTAUT2 with all original items. We further encourage future research to explore other structural elements of use, as well as applying them in a cross-national setting. ...
This paper investigates drivers of technology acceptance of and payment for digital journalism. Environments in which digital media content and technology are fused from the perspective of the user, have yet to be researched with technology acceptance models. In this paper, we subsume digital journalistic content as such technology and investigate how the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) explains the use of journalism. Further, we extend traditional acceptance research by investigating not only usage, but payment intention and behavior. To this end, we refer to a representative survey of the German online population (N=4240) and estimate effects within the framework of a structural equation model. The results reveal that the traditional model is better suited to explain usage, but can also explain a substantial part of the variance in payment. Above all, price value, hedonic motivation and social influence appear to have the strongest positive effects on intent and behavior. Surprisingly, effort expectancy has a positive influence on paying intent. Managers who engage in content creation should highlight these aspects. The findings further contribute towards a much needed, better understanding of user behavior across technologies.
... Since TAM and UTAUT target the usage of IT in utilitarian productivity-oriented working environments, the frameworks do not fit perfectly with technologies more suited for entertainment purposes (Hsu and Lu, 2004;Mütterlein et al., 2019). For this reason, Venkatesh et al. (2012) extended the UTAUT to fit hedonic consumer environments as well. ...
... Using the UTAUT2 in the case of phablet adoption, i.e. a mobile device combining smartphone and tablet features, Huang and Kao (2015, p. 2) confirmed that the model "can effectively explain and analyze people's technology acceptance behaviors for novel IT products." Mütterlein et al. (2019) applied the UTAUT2 model in the media technology context and tested the influence of lead-usership on consumer acceptance of the prototype of a mobile augmented reality (AR) gaming app. Their results showed that the behavioral intention of lead-users substantially differed from other users. ...
... Further research could focus on a simplified UTAUT2 model incorporating performance expectancy, hedonic motivation and social influence and take additional constructs such as consumer innovativeness (Goldsmith and Hofacker, 1991) or lead-usership (Franke et al., 2006) into account that could potentially increase the explanatory power of the model. For instance, the consumers' willingness to pay for Sport VR (price value) could depend on the adopter group and their lead-user characteristics, indicating innovativeness and lead-usership as moderators (Mütterlein et al., 2019). Further research should also explore the pricing of VR-related sport content in more detail, since technology-savvy sport fanatics might be willing to make a more significant investment than non-technology-savvy individuals (i.e. ...
Purpose
Notwithstanding the dynamics of digital transformation and its relevance for revenue generation in the entertainment industry, empirical research that focused on consumer behavior at the intersection of sport content and media technology acceptance is limited. Virtual reality (VR) is a re-emerging and nowadays commercially available technology that impacts sport consumed through media. The purpose of this paper is to investigate the consumer acceptance of VR technology and highlight the effects of content quality and flow experience as influencing factors of behavioral intention.
Design/methodology/approach
Based on a literature review, the authors constructed and empirically tested a model that extends the unified theory of acceptance and use of technology (UTAUT2) by considering additional antecedent factors. Participants ( N =570) in the empirical study viewed sport content via VR technology (Sport VR) and completed a survey before and after viewing. The authors conducted factor analysis and structural equation modeling.
Findings
Three UTAUT2 influencing factors, i.e., performance expectancy, social influence and hedonic motivation, showed significant effects. Furthermore, flow and content quality had positive indirect effects. Thus, the quality of sport content and the state of flow that users experience when immersed in a VR environment are relevant factors that determine the performance expectations of consumers and their Sport VR usage intention.
Originality/value
This empirical study contributes to knowledge on consumer acceptance of a hedonic technology in a sport media context. Moreover, two factors extended the established UTAUT2 model.
... The original and extended UTAUT models have been used to examine technology acceptance in a number of different sectors, such as healthcare (Chang et al., 2007), e-government (Gupta, Dasgupta & Gupta, 2008;Chan et al., 2010), mobile internet (Venkatesh, Thong & Xu, 2012;Thong et al., 2011), enterprise systems (Chauhan & Jaiswal, 2016;Ling Keong et al., 2012) and mobile banking and apps Mütterlein, Kunz & Baier, 2019). The applications of UTAUT demonstrated a strong dependence of behavioural intention on the two perception factors, namely perceived performance and perceived ease of use. ...
... The applications of UTAUT2 showed that the significance and the strength of behavioural determinants differed across cases. The utilisation of UTAUT2 to investigate the antecedents of mobile app adoption confirmed the role of performance expectancy, social influence, hedonic motivation and habit (Mütterlein, Kunz & Baier, 2019). However, in two other studies investigating mobile banking adoption, the role of social influence was not confirmed (Ajzen, 2011;Baptista & Oliveira, 2015). ...
Theories are formulated to explain, predict, and understand phenomena and, in many cases, to challenge and extend existing knowledge within the limits of critical bounding assumptions. In social sciences, theories are typically taught as part of modules or utilised in research dissertations. Still despite the opportunities that students have to engage with theories, their exposure is relatively narrow and confined to widely-used theories. Following experiences of teaching/supervision and interaction with PGR and PGT students, this project's aim is to create an online TheoryHub that covers a wide range of theories and act as a starting point for theory exploration in different research and T&L contexts.
Find out more about TheoryHub at https://open.ncl.ac.uk
... Research by Mütterlein et al. (Mütterlein et al., 2019) reveals the importance of various drivers, such as functional benefits, ease of use, individual difference variables, attitudes toward the brand, and social norms. Although smart glasses are worn similarly to fashion accessories and capture various personal information, self-presentation benefits and potential privacy concerns seem to influence smart glasses adoption less (Priporas et al., 2017). ...
... AR is rapidly gaining attention worldwide (Craig, 2013;Liao, 2019). As the field of mobile media studies continues to grow, researchers are focusing on new developments and trends in mobile technologies (Liao, 2019;Mütterlein et al., 2019). ...
This research investigates the perception, acceptance, and economic valuation of new generations of consumers concerning disruptive technologies (DT) using the modified Technology Acceptance Model (TAM) as a reference. Specifically, it analyzes a group of university students' responses after experimenting with augmented reality (AR) glasses and 3D printers. The results show an eminent interest in technology on the part of young people and a frequent acceptance of its inclusion in their daily lives, and a clear intention to acquire this type of technology someday. Likewise, social projection and self-realization should be considered by marketing managers for the positioning and support of DT's future sales among young people. Based on the existing literature and the research results, the role of technology in generations' daily lives Y and Z is discussed.
... The paper advocates for a cautious and deliberate approach to AI implementation, emphasizing the importance of ongoing research and collaboration among educators, technologists, and policymakers. (Mütterlein, Kunz, and Baier 2019) This research aims to explore how AI has support sustainable development in educational contexts. It provides a detailed examination of how AI can aid educational programs that strive to meet the United Nations' SDGs. ...
Artificial intelligence (AI) has emerged as a pivotal technology with the potential to revolutionize various sectors, including environmental sustainability. As the world faces unprecedented environmental challenges—ranging from climate change to resource depletion—AI offers innovative solutions that can significantly mitigate these issues. This paper delves into the transformative role of AI in fostering environmental sustainability through its application in diverse areas such as precision agriculture, smart energy management, water conservation, and urban traffic optimization. These AI-driven technologies not only enhance efficiency and productivity but also contribute to the reduction of resource consumption and the minimization of environmental impact. Through a detailed thematic analysis of various case studies, this paper highlights the multifaceted benefits of integrating AI into environmental sustainability initiatives. The findings demonstrate that AI not only aids in optimizing processes and minimizing waste but also deepens our understanding of complex environmental systems, leading to more informed decisionmaking. Moreover, the scalability of AI solutions allows for widespread adoption, amplifying their positive impact on both the economy and the environment. However, the deployment of AI in environmental contexts is not without challenges. Ethical considerations, such as data privacy, algorithmic bias, and the transparency of AI systems, must be addressed to ensure that AI applications are both effective and equitable. Continuous research, innovation, and collaboration among stakeholders are essential to overcoming these challenges and fully harnessing AI's potential for sustainable development. In conclusion, AI presents a viable and promising pathway to addressing some of the most pressing environmental challenges of our time. By leveraging AI technologies, we can achieve a more sustainable future that harmonizes economic growth with the preservation of our planet's natural resources. As the capabilities of AI continue to evolve, so too will its contributions to environmental sustainability, offering new avenues for balancing development with ecological stewardship. Keywords—Artificial Intelligence, Climate change Mitigation, Conservation, Environmental Sustainability, Renewable Energy,.
... Another theoretical approach is the IASAM (Integrated Acceptance and Sustainability Assessment Model) framework [17], based on the UTAUT acceptance model, which discusses the evaluation of technology in terms of acceptance and sustainability. Specific roles of users within acceptance of technology are those of intermediaries [18], who support ecosystem governance by adapting institutional arrangements that foster innovation, and lead-users [19], who affect prototype acceptance and intention to use a media innovation. ...
This research investigates the elements that affect the adoption of blockchain technology in academic libraries in Nigeria, utilizing the Human, Organization, and Technology (HOT) Fit model. It emphasizes prior technology experience, attitudes towards change, support from top management, organizational preparedness, and perceived ease of integration and compatibility. Employing a quantitative methodology, data were gathered through structured surveys given to librarians, with relationships examined using structural equation modeling (SEM). The results indicate significant influences of prior technology experience (β = 0.32, p < 0.001), attitudes towards change (β = 0.29, p < 0.001), support from top management (β = 0.34, p < 0.001), organizational preparedness (β = 0.27, p < 0.001), and ease of integration (β = 0.31, p < 0.001) on the adoption of blockchain, while also identifying cost concerns and data security risks as major obstacles. This study broadens the application of the HOT Fit model to a novel context, providing a detailed framework for comprehending blockchain adoption in libraries and delivering actionable insights to enhance technology readiness and service provision. The findings make a valuable contribution to the literature by tackling cultural and infrastructural challenges, paving the way for future research on technology adoption in comparable settings.
... The UTAUT theory has received great attention and has been extensively applied in technology acceptance and adoption studies. Examples include mobile banking, enterprise systems, electronic government, and mobile internet (Mütterlein et al., 2019). The UTAUT is a prerequisite for successful information technology implementation. ...
... This high level of enjoyment plays a crucial role in enhancing users' understanding of Metaverse applications by making interaction fun. Users who find a particular technology enjoyable are more likely to consider it valuable and easy to use (Tamilmani et al., 2021), which positively influences their attitude toward the Metaverse (Mütterlein et al., 2019). Based on these insights, we propose the following hypothesis: ...
The concept of the “Metaverse” is a three-dimensional virtual world that relies on simulations of reality to represent real-life experiences, and it can be classified as the next generation in using the Internet. In this research, we will examine the factors that may influence user acceptance of metaverse and the relationships between these variables highlight how different factors can be examined. The goal of understanding these factors is to determine how Metaverse developers can improve this technology to meet user expectations and enable users to better interact with this technology. To achieve this goal, a sample of 312 students’ participants from different age groups was selected to respond to an online Likert scale questionnaire ranging from) strongly disagree equal) to (strongly agree equal 5). The study found that perceived enjoyment significantly positively influences technology metaverse application. Moreover, perceived curiosity and perceived self-efficacy positively influence technology application metaverse transitions. In addition, perceived ease of use (PEOU) and perceived usefulness (PU) positively influence the attitude toward using the Metaverse technology/application, which means that all the previous factors have an overall positive effect on the attitude toward using the Metaverse technology application.
... In recent years, research on AR has focused on its use and adoption (Faqih & Jaradat, 2021;C.-L. Hsu et al., 2021;Hung et al., 2021;Mütterlein et al., 2019;Yavuz et al., 2021). These studies examined AR in various fields, such as education (Faqih & Jaradat, 2021), tourism (Kourouthanassis et al., 2015), and marketing (Rauschnabel et al., 2019). ...
Aim/Purpose: This study aims to analyze the factors that influence user addiction to AR face filters in social network applications and their impact on the online social anxiety of users in Indonesia. Background: To date, social media users have started to use augmented reality (AR) face filters. However, AR face filters have the potential to create positive and negative effects for social media users. The study combines the Big Five Model (BFM), Sense of Virtual Community (SVOC), and Stimuli, Organism, and Response (SOR) frameworks. We adopted the SOR theory by involving the personality factors and SOVC factors as stimuli, addiction as an organism, and social anxiety as a response. BFM is the most significant theory related to personality. Methodology: We used a quantitative approach for this study by using an online survey. We conducted research on 903 Indonesian respondents who have used an AR face filter feature at least once. The respondents were grouped into three categories: overall, new users, and old users. In this study, group classification was carried out based on the development timeline of the AR face filter in the social network application. This grouping was carried out to facilitate data analysis as well as to determine and compare the different effects of the factors in each group. The data were analyzed using the covariance-based structural equation model through the AMOS 26 program. Contribution: This research fills the gap in previous research which did not discuss much about the impact of addiction in using AR face filters on online social anxiety of users of social network applications. Findings: The results of this study indicated neuroticism, membership, and immersion influence AR face filter addiction in all test groups. In addition, ARA has a significant effect on online social anxiety. Recommendations for Practitioners: The findings are expected to be valuable to social network service providers and AR creators in improving their services and to ensure policies related to the list of AR face filters that are appropriate for use by their users as a form of preventing addictive behavior of that feature. Recommendation for Researchers: This study suggested other researchers consider other negative impacts of AR face filters on aspects such as depression, life satisfaction, and academic performance. Impact on Society: AR face filter users may experience changes in their self-awareness in using face filters and avoid the latter’s negative impacts. Future Research: Future research might explore other impacts from AR face filter addiction behavior, such as depression, life satisfaction, and so on. Apart from that, future research might investigate the positive impact of AR face filters to gain a better understanding of the impact of AR face filters.
... In addition, we control for sociodemographic variables and consider usage of SVoD as the opposing streaming content offering. Furthermore, since streaming is a relatively new technology compared to television, for example, we include lead usership and media innovativeness to verify that our model is valid for a broader user base than lead users or individuals with a particular affinity for media innovation alone (Camilleri & Falzon, 2021;Mütterlein et al., 2019;Ozer, 2009). Figure 1 depicts the research model and the constructs (see Table A1 in the Appendix for operationalizations). ...
This study explores the impact of strategic product characteristics (content and system quality), price value, and habit on attitudinal (word of mouth and brand perception) and behavioral (actual usage) outcomes in the context of television companies’ online streaming services (content libraries). The study utilizes structural equation modeling to analyze data from a survey of 1,038 content library users in Germany. The research conceptualizes and validates content quality as a second-order construct comprising four dimensions (actuality, range, relevance, and originality). The study validates system quality as a second-order construct encompassing usability, reliability, and effort expectancy. The results highlight the importance of habit formation in driving actual usage, emphasizing the need for consistent content delivery and personalized content offerings. The results also underscore not only the importance of content quality (particularly actuality, range, and relevance) as a driving factor for usage, brand perception, and word of mouth recommendation, but also that streaming service providers should pay attention to system quality. Overall, the study enriches our understanding of strategies for content libraries, contributing to both theory and practice in the streaming industry.
... It highlights the importance of intentions in shaping usage patterns. By examining the factors influencing mobile banking app adoption using the UTAUT model, we have identified that the "three fundamental UTAUT constructs" are critical antecedents of behavioral intention, consistent with prior research (e.g., Mütterlein et al. 2019). ...
This study aims to analyze the impact of consumption values on the adoption of NBG’s mobile banking services and the role of customers’ motivation and app adoption in this process. The study reveals users’ attitudes and behavior towards mobile banking by establishing significant connections between selected UTAUT constructs. Based on a critical case of the m-banking services of a leading Greek financial institution, we gathered 418 full-answered questionnaires from a convenience sample of 654 customers to test 18 research hypotheses. The research results confirm that the three selected UTAUT constructs, are antecedents of behavioral intention, supporting the initial assumption. This study analyzes the factors that drive the adoption and usage of mobile banking apps, providing valuable insights for marketing academia and managers.
... The UTAUT theory has received great attention and has been extensively applied in technology acceptance and adoption studies. Examples include mobile banking, enterprise systems, electronic government, and mobile internet (Mütterlein et al., 2019). The UTAUT is a prerequisite for successful information technology implementation. ...
... Consequently, marketing managers and scholars have shown increased interest in augmented reality marketing (ARM), which is evident from the growing practitioner-oriented research (Deloitte-ICC, 2017;BCG, 2018;PwC, 2019;McKinsey, 2020;Deloitte, 2020;Ernst and Young-Mint, 2020) and the scholarly literature (Javornik, 2016;Mütterlein et al., 2019;Rauschnabel et al., 2019;Barhorst et al., 2021). Because of the developing nature of this topic, it becomes imperative to synthesize the existing thematic advancements shaping the research domain. ...
Purpose
Augmented reality (AR) has emerged as a new interactive technology, swiftly transforming the field of marketing. Driven by its rapid uptake in marketing practices, academic research on AR has proliferated. This study aims to offer a holistic view of the past, present and future of augmented reality marketing (ARM) scholarship by analyzing its current and evolving research profile as well as its social and conceptual structures to inspire further research.
Design/methodology/approach
This study enriches the ARM scholarship by integrating a quantitative bibliometric analysis with a chronological-thematic review and a qualitative content analysis to develop a more comprehensive understanding of this novel area and suggest future research courses.
Findings
The bibliometric analysis reveals the key performance indicators as well as the social and conceptual structure of the ARM research field. The chronological-thematic review exhibits the advancement of ARM research over time and forecasts the emerging trends for the domain. Finally, the content analysis of recent articles reveals the current research hotspots and provides future research directions.
Research limitations/implications
The database limits the selection of literature, as the information in databases such as Scopus is updated regularly, resulting in alterations in the number of articles and citations.
Practical implications
AR developers and brand managers may use this study’s findings to understand the current ARM landscape better and make strategic decisions based on AR adoption and consumption patterns.
Originality/value
This study is singular in using a mixed methods approach by integrating the findings from bibliometric and content analyses for more reliable results and to offer a holistic perspective of the ARM sector, thereby significantly advancing the field of technology-led marketing.
... Performance expectancy, effort expectancy, facilitating factors and social influence are direct forecasters of usage intention and behaviour [25]. Age, experience, gender and voluntariness of use influence the effect of four important characteristics on usage intention and behavior [26]. The idea was developed by evaluating and combining components from eight earlier models that were used to explain how people used information systems (theory of planned behaviour, motivational model, theory of reasoned action, model of personal computer use, technology acceptance model, social cognitive theory combined theory of technology acceptance model and diffusion of innovations theory). ...
The idea of storing and managing data on virtualized servers has been brought to life by cloud computing technology allowing apps, individuals and organizations all over the world to connect to data and computing resources anywhere and at any time. Users of cloud computing can share processing power, storage space, bandwidth, memory and software. Because cloud computing is so simple to use, consumers no longer need to invest much in IT infrastructure. However, cloud computing comes with its own challenges with cloud security and privacy being the biggest concerns. Many organizations are uncomfortable with storing their data and applications on systems they do not control. In addition, since cloud services are accessed via internet, there is risk of attack by hackers. It was therefore important to assess security issues and challenges in cloud computing among public institutions in Africa. This study adopted a systematic review of literature. During the selection of studies to be used in a systematic review, the search for empirical studies was done in an extensive manner. Multiple or numerous sources, both printed and computerized were searched.. This study selected studies that were less than 5 years old. In addition, the study selected studies conducted in Kenya, other countries in Africa and around the world. To ensure the quality of the studies, the study selected studies with abstract, introduction, objectives, methods, results/findings and conclusions. The study concludes that challenges and security issues in cloud computing among public institutions include data breach, account hijacking, data loss, denial of service attacks, cloud abuse, malicious insiders, phishing attacks, portability restrictions, backdoor channel attacks, cloud malware injection attacks, shared technology vulnerabilities and lack of confidentiality of corporate data. The researcher therefore recommends that the governments should come up policies to govern and improve cloud computing adoption among public institutions. In addition, the study recommends development of policies to protect data from external hackers and malicious individuals. Policy makers should develop clear policies that require the cloud service providers to safeguard privacy and also security of data they are managing on behalf of institutions. Moreover, the policy makers should come up with policies that guide the provision of penalties to security failures. Also, public institutions should establish an information and communication technology department to come up with strategies to protect data in their organizations.
... However, despite all these recorded achievements, there is a lower rate of adoption of mobile money for financial inclusion in Nigeria. This is because products/services are not necessarily accepted equally by all consumers and some products/services are accepted quicker than others (Mütterlein et al., 2019). The characteristics of the innovation determine the speed of innovation adoption process (Rogers, 1983). ...
Despite a rigorous policy drive towards financial inclusion in Nigeria, and although the country has a high tele-density ratio, the vast unbanked largely poor remain excluded from the financial sector. Adopting a mixed method approach of the supplier and consumer sides of mobile money, using documentary analysis, focus groups, interviews, and surveys; this article relies on the diffusion of innovations theoretical framework to explore the utility of mobile money with a view to not only assess its application in the enhancement of financial inclusion, but also better tailor the current applications for these low-income users. We identify 4 factors (lack of customer demand and experimenters, lack of integration in the ecosystem, lack of trust and preference for effective local savings scheme and policy short-termism resulting in mobile money operational unsustainability) that are responsible for non-diffusion of mobile money. Our paper reveals interest dynamics that can advance a more long-term mobile money regulatory policy which takes care of the concerns of the unbanked poor.
... While the majority of the studies were conducted in a service context. The selected studies undertaken in this research reveal studies conducted in the context of consumer behavior addressed issues of "online purchasing behavior of consumers who purchase digital and non-digital goods" (Pascual-Miguel et al., 2015), "different drivers of online airline ticket purchasing behavior" (Escobar-Rodríguez and Carvajal-Trujillo, 2013), "effects of lead-usership on the acceptance of media innovations" (Mütterlein et al., 2019), "nonmonetary benefits of mobile commerce" (Shaw and Sergueeva, 2019), "motives that lead consumers to become prosumers" (Halassi et al., 2019), "factors affecting technology adoption and the role of personality on individual usage behavior" (Chipeva et al., 2018), "understanding the needs and preferences of different segments of customers, specifically women" (Ameen and Willis, 2019), "information and communication technologies intention behavior and actual use among older adults" (Macedo, 2017), "critical variables that can attract consumers to open and read the advertisement on the short message service" (Shareef et al., 2017), "impact of moderators and trust on consumer's intention to use a mobile phone for purchases" (Trojanowski and Kułak, 2017), "identification and characterization of the three social commerce shopper segments" (Nadeem et al., 2017), "how e-shopping vehicles are interrelated in regard to consumer reliance upon them for their e-purchasing" (Blake et al., 2017), "understanding Jordanian consumers' online purchase intentions" (Singh et al., 2017), "examine the social commerce intentions of customers" (Sheikh et al., 2017), "analyze perceived risk and drivers of online shopping influencing behavioral intention in India" (Tandon et al., 2016), "online gambling services usage behavior" (Fortes et al., 2016), "factors that influence omnichannel consumers' behavior through their acceptance of and intention to use new technologies during the shopping process" (Juaneda-Ayensa et al., 2016) and "explore and predict the intentions to use and use behaviors of Phablets" (Huang and Kao, 2015). Majority of the studies in the consumer behavior context have either tested online purchase behavior or tested the usage of any services or products. ...
Purpose
This study aims to examine the research pattern and growth trends of published research on a unified theory of acceptance and use of technology 2 (UTAUT2) from 2012 to 2019. The study also examines the research scope of UTAUT2 for future researchers.
Design/methodology/approach
This study has adopted a bibliometric approach followed by a structured literature review analysis to synthesize the research on UTAUT2 since 2012. In total, 163 documents were analyzed for type of studies, theories and frameworks, methodologies, author wise collaboration, organizations that contributed to the body of knowledge in the UTAUT2 research and journals that published studies in this domain. VOSviewer and Tableau were used for the data visualization, whereas TCCM, which means theory (T), context (C), characteristics (C) and methodology (M) framework is used to propose the future research directions.
Findings
The findings reveal research on UTAUT2 is growing. The structured literature analysis of the top 15 cited articles further analyzed the parsimony of new models in detail. In addition, the study highlights the inception by and promoters of UTAUT2 in a separate section. The data for this study was collected by searching the title, abstract and keywords of documents in the Scopus database.
Research limitations/implications
This study is based on research papers, published in the UTAUT2 research area, that have been extracted from the Scopus database by keywords only. Future studies can also perform a meta-analysis of various clusters generated by bibliometric analysis.
Practical implications
This study is useful for practitioners to devise strategies for increasing technology acceptance, adoption and utilization in the times to come.
Originality/value
To the best of the authors’ knowledge, this study is one of the very few and early studies, which examined patterns and growth trends of the UTAUT2 studies with the TCCM framework, to suggest scope for future research studies.
... In explaining and predicting pre-service teachers' decision to integrate MART, the study has found that Malaysian pre-service teachers' perceived usefulness (PU) as the main predictor. This finding correlates with statement suggested that a proposed technology is more likely to be accepted when it is seen to be useful by the user (Mutterlein et al., 2019). This finding can also be explained by pre-service teachers' familiarity and commonality with mobile technology and its applications. ...
The integration of mobile augmented reality technology (MART) into the education system since the last two decades have brought to the topic of discussion among many scholars. Although numerous studies have highlighted its huge potentials and benefits toward both teacher's and students' teaching and learning process, several researchers reported that teachers’ readiness to integrate mobile augmented reality technology is still uncertain. Given the importance and consideration of research that has been undertaken, the present study was set to examine the Malaysian pre-service teachers’ readiness toward integrating MART into their learning and future teaching process. The Technology Acceptance Model (TAM) was adapted as the theoretical grounding of the study in explaining and predicting pre-service teachers’ decision to integrate mobile augmented reality technology. Data of the study was gathered from 303 Malaysian pre-service teachers and were analysed using the descriptive analysis of SPSS and Partial Least Square (PLS) of Structural Equation Modelling (SEM). Findings from the study demonstrate that pre-service teachers’ readiness to integrate MART is at a moderate level. The study also suggested that pre-service teachers’ perceived usefulness has the most significant direct effect on their decision to integrate MART. On the basis of these findings a purpose model is developed, and implications of theory development, practices, and policymaking are discussed in this paper.
... VR is an immersive, digital experience that mimics an interactive environment since it generates realistic images, sounds, and other sensations [16,44]. In AR, the real World is not hidden from the user, but rather virtual objects are superimposed onto the real World to create an added overlay [32]. MR covers both components of the real World (real objects and their conditions in a real-world space) with virtual components (virtual models and virtual conditions) in immersive applications [59]. ...
Recent technological advances in wearable technologies, such as mixed-reality devices, have enabled consumers to interact with artificial three-dimensional visual environments. This presents an incredible opportunity for service retailers to present alternative ways of interacting with their services. This study empirically investigates the potential applications of Windows Mixed Reality devices, while specifically examining various forms of consumer perceptions and behavioural intentions. This research is among the first to empirically examine the effect of windows mixed reality experiences, enabled by the latest wearable devices, on intentions of users in a services retailing context. The results of this study help guide retailers who are looking to integrate Windows Mixed Reality devices in their practice to increase user satisfaction, trust, and utilitarian needs. The paper recommends specific theoretical and managerial implications.
... So weist auch die hedonistische Motivation, also das Vergnügen bei der Benutzung einer Technologie, einen deutlich größeren Einfluss auf. Die starke Ausprägung der hedonistischen Motivation ähnelt den Ergebnissen vorangegangener Akzeptanzstudien, die speziell im Medienbereich durchgeführt wurden (Mütterlein et al., 2019). Bei diesen Studien wurden gleichwohl primär Medien erforscht, denen ein vorrangig unterhaltender Charakter zugesprochen wird. ...
How can journalism be financed sustainably? This remains the key issue for media companies and news start-ups when they develop and establish digital business models.
The authors of this book provide a broad overview of the current state of knowledge on paid content, platforms and the willingness to pay in the field of journalism, and present innovative perspectives on novel platform models as well as on the motives and needs of users of digital journalistic content. Based on empirical research, the book explores recommendations for the user-centred development of paid content as well as new perspectives on the willingness to pay in the field of digital journalism, both of which are relevant for academia and media practice.
This chapter presents the primary outcomes of the literature review on the existing knowledge concerning digitalization. Within each section, the concept of digitalization, which has developed over the decades, its definition, and application through the use of digital technologies in the daily activities of companies with respect to the changing working conditions and environment in response to the COVID-19 pandemic, are introduced.
Since the launch of Pokémon Go, augmented reality (AR) has been one of the main research areas within new technologies. Integrating digital elements into the physical world presents exceptional opportunities for different sectors, enabling enhanced interactions and experiences. This study conducts a systematic review of AR literature, highlighting the main theories, theoretical frameworks, and research methodologies employed. It also classifies the main types of AR devices and the diverse contexts in which they are applied. Through a comprehensive thematic analysis, four principal areas of current research are identified: (1) media characteristics and consumer outcomes, (2) psychological influential factors and outcomes, (3) AR app features and technology adoption, and (4) recommendations for implementation in the industry and advantages. Furthermore, the study provides key insights and introduces the consumer‐centered AR framework. The article concludes by proposing a future research agenda, highlighting prospective studies that can contribute from the perspective of the content, context, device, and consumer, as well as avenues for future research from a methodological perspective.
Purpose
This study aims to provide supplements to the research on digital human avatar (DHA) and suggestions for brands to use DHA appropriately to build brand fans effect.
Design/methodology/approach
On the basis of integrating Avatar theory and Stimulus-organism-response theory, this study obtains data from 733 Chinese respondents aged 18–25 and uses regression analysis and bootstrap analysis to verify the relationships among the variables: DHA characteristics (form realism, behavioral realism and brand alignment) as the independent variables, brand fans effect as the dependent variable, consumer positive emotion as the mediating variable and product type (experience vs search) as the moderating variable.
Findings
The results show that DHA characteristics positively influence brand fans effect and consumer positive emotion, consumer positive emotion positively influences brand fans effect and consumer positive emotion plays a mediating role. Meanwhile, for experience products, the impact of DHA’s form realism and behavioral realism on consumer positive emotion is higher than that of brand alignment; for search products, the impact of DHA’s brand alignment on consumer positive emotion is higher than that of form realism and behavioral realism.
Originality/value
This study enriches and expands the empirical research perspectives and conclusions in the DHA field, improves its research framework and provides suggestions for brands to appropriately use DHA to build brand fans effect.
Purpose
Electronic procurement has received primacy as one of the significant reforms to help fight corruption and inefficiencies in the public sector across countries. The purpose of this paper is to examine the effect of electronic procurement adoption on procurement performance. Additionally, the paper examines the moderating role of institutional quality in the relationship between electronic procurement and procurement performance.
Design/methodology/approach
The study applied an explanatory design and a quantitative research approach. Also, the study relied on UTAUT and institutional theory to develop a test research model using 121 responses from public entities in Ghana. Hypothesised paths were investigated using structural equation modelling.
Findings
The findings revealed that electronic procurement adoption positively and significantly affects procurement performance. Also, the findings indicated that institutional quality positively and significantly affects electronic procurement adoption and procurement performance, respectively. Lastly, the findings proved that institutional quality moderates the relationship between electronic procurement adoption and procurement performance.
Research limitations/implications
The study focused on public procurement entities in the Greater Accra Region – Ghana. The study contributes to adopting electronic procurement, institutional quality, and procurement performance literature. The study also extends the UTAUT and the institutional theory to African public entities. The study reechoes the importance of institutional quality in developing economies to enhance electronic procurement adoption.
Originality/value
To the best of the researcher’s knowledge, this is the first study that examines the moderating role of institutional quality in the relationship between electronic procurement adoption and procurement performance.
This article is a comprehensive review of the literature on smart technology in consumer studies from 1996 to 2023. While the paper provides information about the development of the field by identifying important publications and authors, it employs topic modeling to pinpoint key topics in papers published in marketing and business journals. These topics are then grouped into three research streams and evaluated concerning theoretical, contextual, and methodological perspectives. While doing so, specific gaps were identified. By revealing gaps in the literature, the study suggests promising avenues for further research. Finally, this article advances our comprehension of the smart technology literature in marketing and business journals and informs future inquiry in this rapidly evolving domain.
In industrial product development with customers, it is well‐known that lead userness is associated with novel and commercially attractive products. We take a next step by analyzing if lead userness is related to product development that potentially affects industry‐level practices. Our main hypothesis is that lead userness results in the pursuit of Schumpeterian product opportunities: disequilibrating, radical, rare, and based on new knowledge and creative activities. In contrast, at low lead userness, more Kirznerian product opportunities are expected—which maintain industry standards. The hypothesis is supported by data from 139 high‐tech small firms. Next, we anticipate that factors related to the selection of lead users, and the effective processing of their inputs, moderate the connection between lead userness and Schumpeterian opportunity. As for selection, we find a stronger connection when firms collaborate with “new” customers. Conversely, when involved customers have been business partners already for a long time, the pursuit of Schumpeterian opportunities is mitigated. Also, tentative evidence is found that the connection between lead userness and Schumpeterian opportunity amplifies when involved customers are less dominant market players. Finally, when it comes to processing lead users' input, we report tentative evidence that firms' R&D intensity should be higher (indicating ability to process lead users' inputs and make continued development efforts). Our findings help to explain why lead users have been associated with industry dynamics, and provide guidance to identify “relevant” lead users when firms seek product opportunities that potentially disequilibrate their industry.
The aim of this research was to conceptualize and measure the flow experience of Virtual Reality (VR) gaming as well as to develop and empirically test a research model that explains flow experience and subsequent usage behavior. This model highlights the effects of content-, system-, and hardware-related factors on flow, as well as the relevance of interaction effects. Based on a large survey of 1,784 German VR users, the structural equation model showed that gaming motives, perceived content quality, content range, system quality and barriers to VR usage significantly influence the experience of flow in VR gaming and thus behavioral intention and usage. Age, gamer identification, and VR technology experience had interaction effects with several of these relationships. This study contributes a multidimensional conception of flow and a better understanding of its antecedents and consequences. It yields practical implications by highlighting the need not only to differentiate between self-identified gamers and non-gamers but also to consider previous VR experience and the impact of real-world circumstances in the development and marketing of VR games.
Technology and innovation management is vital emerging research fields. Technological Forecasting and Social Change (TFSC) has worked as a major forum in this field and is currently regarded as the leading journal. However, an increasing number of publications hamper a comprehensive understanding of the field and journal. In this study, we conducted a systematic review of TFSC with the support of bibliometric analysis. We used citation network analysis and topic models to extract research landscapes and trends. Our results illustrate how technology and innovation management research has developed through the interactions among theories, methods, and cases, both qualitatively and quantitatively. Based on our analysis and findings, we discuss the major branches of research, topics in the journal, and future perspectives.
For a large portion of its history, broadcasting has been stagnant when it comes to incorporating new and innovative technologies. However, due to declining viewership and consumer desire for customizable content, augmented reality (AR) graphics have begun to be incorporated into multiple broadcast products. The current study contributes to the literature by providing much needed answers to questions surrounding consumer perceptions and the implementation of AR in broadcasts. Guided by the Elaboration Likelihood Model and using sport broadcasts as the context, three NBA broadcasts were assessed: a mascot-mode with over the top AR graphics, a coach-mode with play-by-play AR graphics, and a traditional broadcast with no graphics. Following random assignment, participants in the current study were more likely to re-view (p < .05) and recommend via word of mouth (p < .05) the coach-mode AR than the mascot-mode AR. As formidable media providers like ESPN do not see AR as a fad, the current findings are noteworthy. Both AR enhancements under investigation represent substantial alterations to the core, traditional product. Thus, media providers are advised to introduce AR components gradually and systematically, so as not to overload the conservative viewer.
Subscription-Video-on-Demand-Dienste (SVoD) wie Netflix erfreuen sich steigender Beliebtheit. Nicht nur deshalb bauen TV-Sender ihre Mediatheken-Angebote aus. Doch welche sind die Treiber, die Nutzer dazu veranlassen, SVoD zu nutzen und inwiefern werden die Angebote austauschbar zu Mediatheken angesehen? Aufbauend auf der Unified Theory of Acceptance and Use of Technology und dem Uses-and-Gratifications-Ansatz wird ein innovatives, vergleichendes Akzeptanz-Modell entwickelt und anhand von 258 Antworten aus einer Online-Befragung von deutschen Universitätsstudierenden empirisch getestet. Faktorenanalysen und Strukturgleichungsmodellierung zeigen, dass die wahrgenommene Substituierbarkeit, der relative Vorteil sowie die Aufwandserwartung, Gewohnheit und hedonische Motivation signifikante Einflüsse auf die SVoD-Nutzung haben. Für die relative Vorteilhaftigkeit von SVoD sind insbesondere die Inhaltsqualität, Informationssuche und ritualisierte Mediennutzung von Bedeutung. Für Mediatheken-Anbieter lassen die Ergebnisse eine differenzierende Nischenstrategie als sinnvoll erscheinen.
Subscription-Video-on-Demand-Dienste (SVoD) wie Netflix erfreuen sich steigender Beliebtheit. Nicht nur deshalb bauen TV-Sender ihre Mediatheken-Angebote aus. Doch welche sind die Treiber, die Nutzer dazu veranlassen, SVoD zu nutzen und inwiefern werden die Angebote austauschbar zu Mediatheken angesehen? Aufbauend auf der Unified Theory of Acceptance and Use of Technology und dem Uses-and-Gratifications-Ansatz wird ein innovatives, vergleichendes Akzeptanz-Modell entwickelt und anhand von 258 Antworten aus einer Online-Befragung von deutschen Universitätsstudierenden empirisch getestet. Faktorenanalysen und Strukturgleichungsmodellierung zeigen, dass die wahrgenommene Substituierbarkeit, der relative Vorteil sowie die Aufwandserwartung, Gewohnheit und hedonische Motivation signifikante Einflüsse auf die SVoD-Nutzung haben. Für die relative Vorteilhaftigkeit von SVoD sind insbesondere die Inhaltsqualität, Informationssuche und ritualisierte Mediennutzung von Bedeutung. Für Mediatheken-Anbieter lassen die Ergebnisse eine differenzierende Nischenstrategie als sinnvoll erscheinen.
Habit has been modeled in different ways in information systems (IS) research. It is theorized to directly impact system use (SU), moderate the impact of behavioral intention (BI) on SU, indirectly impact SU through BI and other variables, mediate the effects of other variables on BI and SU, and moderate the effects of other variables on BI. Prior studies empirically examined models of habit in various settings such as different types of respondents and geographic regions. Unsurprisingly, empirical findings on the relationships involving habit have been inconsistent and mixed. This study proposes that the variations in empirical results may be due to the various models of habit and the study characteristics. An exploratory meta-analysis and review of habit and its relationships is conducted by synthesizing findings across 130 samples reported in 114 published studies. Implications for research and practice are discussed.
This paper presents a requirements engineering process for driving the design of new systems that will allow for enhancing 3D media productivity, for lowering the entry barrier in 3D media creation, and for innovative media forms across many media types. This work has been carried out with the perspective of enhancing recovery and transformation as the pandemic has driven many professionals in culture to zero income. Toward this goal, we perform a requirements engineering process based on the IEEE 830 standard for requirements specification. It allows us to elucidate system requirements through existing (AS-IS) and envisioned (TO-BE) scenarios affected by the latest trends on design methodologies and content promotion in social media. A total of 30 tools for content creation, promotion, and monetization are reviewed and 10 TO-BE scenarios were engineered and validated. The validation was performed through a survey of 24 statements on a 5 Likert scale by 47 individuals from the domains of Media, Fine arts, Architecture, and Informatics. Useful evaluation results and comments have been collected that can be useful for future systems design.
The focus of this study is to identify the key determinants that influence tourists’ intention to use augmented reality (AR) technology and explore the moderating effect of millennials on the relationship between subjective norms and tourists’ intention to use AR technology. The results indicate that (1) tourists’ attitude towards AR technology is significantly and positively affected by perceived usefulness and perceived ease of use, while perceived risk does not significantly influence their intention to use; (2) there are strong positive interactions between the attitude towards and subjective norms of AR technology and tourists’ intention to use this technology; and (3) nonmillennial tourists’ intention to use AR technology is less influenced by subjective norms compared to the results from millennial tourists. The results of this study will help the application of tourism AR technology for different age groups and contribute to the sustainable development of tourism.
Previous studies carried out customer surveys by questionnaires to collect data for analyzing consumer requirements. In recent years, a large and growing body of literature has investigated the extraction of customer requirements and preferences from online reviews. However, since customer requirements change dynamically over time, traditional studies failed to obtain the change data of customer requirements and opinions based on sentiments expressed in reviews. In this paper, a new method for dynamically mining user requirements is proposed, which is used to analyze the changing behavior of product attributes and improve product design. Dynamic mining differs from the traditional need acquisition mainly in three aspects: (1) it involves dynamically mining user requirements over time (2) it adds changes in manufacturers’ opinions to the analysis (3) it allows for product improvement strategies based on the changing behavior of product attributes. First, text mining is adopted to collect customer and manufacturer review data for different time periods and extract product attributes. A Natural Language Processing tool is used to measure the importance weight and sentiment score of product attributes. Second, an approach for dynamically mining user requirements is introduced to classify product attributes and analyze the changes of attribute data in three categories over time. Finally, an improvement strategy for next-generation product design is developed based on the changing behavior of attributes. Moreover, a case study on vehicles based on online reviews was conducted to illustrate the proposed methodology. Our research suggests that the proposed approach can accurately mine customer requirements and lead to successful product improvement strategies for next-generation products.
Past lead user research has provided strong empirical support for the claim that lead users tend to innovate independently. While the innovation activity itself is well documented, little is known about whether users' ideas and solutions also reach manufacturers' organizations. Recent research indicates that the majority of user discoveries remain limited only to local use and are rarely presented to a wider circle of other users, business angels, or manufacturers. This limitation presents a problem because if manufacturers do not have access to users’ needs, ideas, and solutions, they might fail to recognize essential opportunities for innovation.
Therefore, this research studies the question of whether lead userness and expected recognition from manufacturers and peers explain the user's inclination to cooperate with manufacturers. We study cooperation initiated from two different ends: users pro-actively approaching manufacturers with problems and ideas and users participating in manufacturer-hosted innovation workshops. Drawing on lead user theory, we develop hypotheses and test them with two empirical studies with nurses and pharmaceutical technical assistants. The results provide support for the argument that a superior trend position and high expected benefits are strong and reliable predictors for both investigated forms of cooperation. The results on the effect of recognition from the manufacturer and peers are mixed, indicating that expected process benefits are less important.
Mobile augmented reality (AR) has emerged as an effective interactive technology for providing visual information on products. As the importance of contextual information grows, mobile AR makes it easier for consumers to visually examine products virtually placed in their existing physical spaces. Despite the popularity and potential of mobile AR in commerce, there is a lack of research confirming that, in terms of providing consumers with shopping experiences, mobile AR is a more influential tool than the traditional method of product presentation. Based on the experience economy and task-media fit theories, this study examines the effect of AR information in mobile shopping on consumer learning, including enjoyment, compared to that of two-dimensional and three-dimensional information. Moreover, we examine the moderating effect of product type on this relationship. We conducted experiments with 212 participants to confirm these relationships. Our results revealed that AR information helps improve consumer learning and purchase intention in mobile environments, and the effect of AR is stronger for experience products than for search products.
Die Digitalisierung hat in den letzten Jahren eine Vielzahl an Veränderungen in der Medienbranche hervorgerufen. Die jüngsten Fortschritte digitaler Technologien haben diverse Prozesse und Aktivitäten des Managements von Medienunternehmen grundlegend verändert. Heute existieren unterschiedliche neue Medien zur Rezeption von Sport und anderen Inhalten. Medien bilden eine zentrale Plattform für Unternehmen, um mit den Konsumenten und anderen Akteuren in Verbindung. Somit hat sich über die Zeit nicht nur das Mediengeschäft verändert, sondern auch die Rolle des Kunden. Dieser Beitrag stützt sich auf die Service-Dominant Logic sowie die Geschäftsmodell-Literatur und bietet einen interdisziplinären Überblick über die Zusammenhänge von der Service-Dominant Logic und den Geschäftsmodellen der Medienunternehmen im digitalen Zeitalter. Das zentrale Ziel dieses Beitrags ist die Beschreibung des Medienwandels, der durch die Digitalisierung immer weiter voranschreitet.
The development of information communication technology (ICT) and also derivatives of its technology make it easier for the public to conduct online transactions. This study seeks prior research by using systematic literature to look at customer’s Behavior Intention by using theories from Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) so as to understand the developments and new discoveries that have emerged in previous studies. A systematic literature review is used in this research methodology so the review can be explained systematically. Based on the findings of this literature review research aspires a method or framework that can be used for researchers as well as practitioners to understand the customer's Behavior Intention by using theories from UTAUT2 so that it can inspire further research.
While the relevance of lead users has been well established for the early phases of the innovation process, such as ideation and creativity, the relationship between lead userness and implementation and diffusion has not been investigated. This is surprising, as the conjecture that lead user ideas are more likely to be implemented and diffused than non-lead user ideas is a key tenet of lead user research. To test this conjecture we draw on a sample of 87 internal process users in a large electronics firm who submitted ideas to an idea management system. 452 ideas were suggested, of which 148 were implemented and 33 further diffused on the shopfloor. We find that higher lead userness is positively and significantly associated with the likelihood of suggested ideas being implemented and diffused. This effect is substantial: Ideas coming from lead users were more than two times more likely to be implemented and more than three times more likely to be diffused than ideas coming from non-lead users. We conclude that lead user ideas are more likely than non-lead user ideas to be implemented and diffused throughout a social system, which arguably constitutes the ultimate success of any idea. Our research contributes to research on (internal) lead users, idea management systems, and idea implementation and diffusion.
Research on the lead user method has been conducted for more than thirty years and has shown that the method is more likely to generate breakthrough innovation than traditional market research tools. Based on a systematic literature review, this paper shows a detailed view on the broad variety of research on lead user characteristics, lead user processes, lead user identification and application, and success factors. The main challenge of the lead user method as identified in literature is the resource issue regarding time, manpower, and costs. Also, internal acceptance and the processing of the method have been spotted in literature, as well as the intellectual property protection issue. From the starting point of the initial lead user method process introduced by Lüthje and Herstatt (2004), results are integrated into a revisited view on the lead user method process. In addition, concrete suggestions for corporate realization options are given. The article closes with limitations and future research suggestions.
We combine insights received from prior research on the role of lead user and prior investigations of disruptive innovation. Our research illustrates the role of a particular lead user, which we refer to as the relevant lead user, in paving the way for the potentially disruptive technology to be a definitely disruptive one. Through focused consideration, we reveal characteristics that may be significant in identifying users as relevant in relation to potentially disruptive innovation. Our research also reveals that contrary to Christensen’s assumption, incumbents do not embrace the inevitable and jump from the old technology to the new. Rather, the transformation occurs over a period of time.
This paper argues that innovation behavior roots in specific socio-psychological set-ups that crystallize in daily practices and routines. The latter are easy to observe and have great potential for the identification of user-innovation behavior. We study the practices and routines of Russian user-innovators around media consumption, internet and technology-usage, consumer preferences and civic engagement in comparison with a sample of mere users. The derived model correctly classified 73% of the original grouped cases of user-innovators. We conclude that a set of practices relative to the certain economic, social and cultural background explains user-innovation engagement and how support could be provided. Although some of our findings are probably specific to Russia, the results are encouraging for further research into the importance of practices and routines in identifying user-innovators in various environments.
Provides a nontechnical introduction to the partial least squares (PLS) approach. As a logical base for comparison, the PLS approach for structural path estimation is contrasted to the covariance-based approach. In so doing, a set of considerations are then provided with the goal of helping the reader understand the conditions under which it might be reasonable or even more appropriate to employ this technique. This chapter builds up from various simple 2 latent variable models to a more complex one. The formal PLS model is provided along with a discussion of the properties of its estimates. An empirical example is provided as a basis for highlighting the various analytic considerations when using PLS and the set of tests that one can employ is assessing the validity of a PLS-based model. (PsycINFO Database Record (c) 2012 APA, all rights reserved)
Little is known about the business value that mobile applications (apps) can create, and how start-ups can leverage this value. We present a multiple-case study to both explain the process of app-enabled value creation and the type of value outcomes associated with the use of apps for business purposes. The study develops an App-enabled Business Innovation Cycle model that includes 1) twelve routines matched to four dynamic capabilities for creating business value using apps, 2) an explanation of the interactions between these capabilities, and 3) eleven types of app-enabled business value. Based on the developed model we give directions for future research and practice.
Medical doctors occasionally discover potentially valuable new off-label uses for drugs during their clinical practice. They apply these to help their own patients, but often have minimal incentives to invest in diffusing them further. Thus, the benefits that other clinicians might obtain are to some extent an externality from the perspective of the discoverer. This represents a form of market failure: effort invested in diffusion could lower adoption costs for many, but few innovators will invest that effort and social welfare will be accordingly reduced. In this study we explore for empirical evidence for the market failure just described, and do find evidence for it. In a sample of US clinicians, diffusion efforts increase the diffusion of generally valuable discoveries, but innovating clinicians typically invest little to support diffusion. We conclude with a discussion of how such a market failure could be addressed.
The unified theory of acceptance and use of technology (UTAUT) is a little over a decade old and has been used extensively in information systems (IS) and other fields, as the large number of citations to the original paper that introduced the theory evidences. In this paper, we review and synthesize the IS literature on UTAUT from September 2003 until December 2014, perform a theoretical analysis of UTAUT and its extensions, and chart an agenda for research going forward. Based on Weber’s (2012) framework of theory evaluation, we examined UTAUT and its extensions along two sets of quality dimensions; namely, the parts of a theory and the theory as a whole. While our review identifies many merits to UTAUT, we also found that the progress related to this theory has hampered further theoretical development in research into technology acceptance and use. To chart an agenda for research that will enable significant future work, we analyze the theoretical contributions of UTAUT using Whetten’s (2009) notion of cross-context theorizing. Our analysis reveals several limitations that lead us to propose a multi-level framework that can serve as the theoretical foundation for future research. Specifically, this framework integrates the notion of research context and cross-context theorizing with the theory evaluation framework to: 1) synthesize the existing UTAUT extensions across both the dimensions and the levels of the research context and 2) highlight promising research directions. We conclude with recommendations for future UTAUT-related research using the proposed framework.
In this article, we attempt to distinguish between the properties of moderator and mediator variables at a number of levels. First, we seek to make theorists and researchers aware of the importance of not using the terms moderator and mediator interchangeably by carefully elaborating, both conceptually and strategically, the many ways in which moderators and mediators differ. We then go beyond this largely pedagogical function and delineate the conceptual and strategic implications of making use of such distinctions with regard to a wide range of phenomena, including control and stress, attitudes, and personality traits. We also provide a specific compendium of analytic procedures appropriate for making the most effective use of the moderator and mediator distinction, both separately and in terms of a broader causal system that includes both moderators and mediators. (46 ref) (PsycINFO Database Record (c) 2012 APA, all rights reserved)
This article focuses on the complexities of managing multi-platform strategies in the complex and highly dynamic environments of contemporary media markets. Based on a comparative case study of two Nordic media organizations, the article identifies and articulates two sets of practices through which strategy is managed in the continuously changing print and online environments. While the practices that guide strategy development of print publishing tend to be content driven, brand constrained, commercially steered, and top-down monitored, strategizing for online platforms tends to be more technology driven, brand inspired, interactive, and entrepreneurial. For multi-platform media organizations this type of situation is challenging because the incremental and radical innovations that they pursue are platform specific, instead of aiming at exploitation and exploration on both platforms. To succeed in the market, the article argues, multi-platform media organizations need to develop strategies and organizational practices that allow them to be truly ambidextrous—to pursue both incremental and radical change—on all platforms.
Current approaches to measuring people's everyday usage of technology-based media and other computer-related activities have proved to be problematic as they use varied outcome measures, fail to measure behavior in a broad range of technology-related domains and do not take into account recently developed types of technology including smartphones. In the present study, a wide variety of items, covering a range of up-to-date technology and media usage behaviors. Sixty-six items concerning technology and media usage, along with 18 additional items assessing attitudes toward technology, were administered to two independent samples of individuals, comprising 942 participants. Factor analyses were used to create 11 usage subscales representing smartphone usage, general social media usage, Internet searching, e-mailing, media sharing, text messaging, video gaming, online friendships, Facebook friendships, phone calling, and watching television in addition to four attitude-based subscales: positive attitudes, negative attitudes, technological anxiety/dependence, and attitudes toward task-switching. All subscales showed strong reliabilities and relationships between the subscales and pre-existing measures of daily media usage and Internet addiction were as predicted. Given the reliability and validity results, the new Media and Technology Usage and Attitudes Scale was suggested as a method of measuring media and technology involvement across a variety of types of research studies either as a single 60-item scale or any subset of the 15 subscales.
Moodle also known as Learning Management System is freely available to educators. Universiti Utara Malaysia (UUM) encourages students and instructors to utilize the teaching and learning process. Moodle enables lecturer to create sequences and facilitate activities for their students, auto-marked online quizzes and exams, navigation tools, files download, grading, student progress tracking, online calendar, etc. This paper investigated the relationships between the constructs that may influence preservice teachers’ acceptance of Learning Zone (Moodle) in their learning process and assessing the influence of variation on performance expectancy, effort expectancy, social influence, facilitating conditions, hedonic motivation, and the habit to the behavioral intention or intention of usage. The Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) is verified and found that the regression model revealed 29.5% of the variance in student’s intentions with facilitating conditions and hedonic expectancy are considerable predictors of the behavioral intention. Based on this, recommendations for prospect research in the application of UTAUT2 are discussed.
This paper discusses the value of context in theory development in information systems (IS) research. We
examine how prior research has incorporated context in theorizing and develop a framework to classify
existing approaches to contextualization. In addition, we expound on a decomposition approach to contextualization and put forth a set of guidelines for developing context-specific models. We illustrate the application of the guidelines by constructing and comparing various context-specific variations of the technology acceptance model (TAM)—i.e., the decomposed TAM that incorporates interaction effects between context-specific factors, the extended TAM with context-specific antecedents, and the integrated TAM that incorporates mediated moderation and moderated mediation effects of context-specific factors. We tested the models on 972 individuals in two technology usage contexts: a digital library and an agile Web portal. The results show that the decomposed TAM provides a better understanding of the contexts by revealing the direct and interaction effects of context specific factors on behavioral intention that are not mediated by the TAM constructs of perceived usefulness and perceived ease of use. This work contributes to the ongoing discussion about the importance of context in theory development and provides guidance for context-specific theorizing in IS research.
Based on existing research in media economics, media management, as well as media history, this paper analyzes the characteristics of media innovations. These media-specific attributes help distinguish media innovation from other types of innovation and justify the necessity to establish a distinct field of research on
media innovation. As a result, eight attributes are presented. These attributes refer to media innovations both as products and as processes. They characterize media innovations as multidimensional and risky products and highlight the importance of approaching media innovation development as interactive, ong-term processes that go beyond the control of particular media organizations. In conclusion, implications with respect to studying media innovations from an interdisciplinary perspective are derived.
Despite the widespread use of exploratory factor analysis in psychological research, researchers often make questionable decisions when conducting these analyses. This article reviews the major design and analytical decisions that must be made when conducting a factor analysis and notes that each of these decisions has important consequences for the obtained results. Recommendations that have been made in the methodological literature are discussed. Analyses of 3 existing empirical data sets are used to illustrate how questionable decisions in conducting factor analyses can yield problematic results. The article presents a survey of 2 prominent journals that suggests that researchers routinely conduct analyses using such questionable methods. The implications of these practices for psychological research are discussed, and the reasons for current practices are reviewed. (PsycINFO Database Record (c) 2012 APA, all rights reserved)
Purpose
It is assumed that consumers consume games to experience hedonic and utilitarian value. However, there is no conceptual model or empirical evidence that supports this hypothesis in the game context or clarifies whether these consumption values have dual mediated or individual effects. Therefore, the purpose of this research is to model the relationship between hedonic and utilitarian consumption and game purchase and usage.
Design/methodology/approach
This research question is answered through two studies. In Study One, qualitative interviews with 18 gamers were implemented to explore the relationship between hedonic and utilitarian consumption and, game purchase and usage behaviour. In Study Two, we surveyed 493 consumers and conducted confirmatory factor analysis and structural equation modelling across four game types to model this relationship.
Findings
The paper concludes that hedonic rather than utilitarian consumption positively impacts purchase and usage. Support was also found for the utilitarian‐hedonic dual mediation model (UHDM). Therefore, utilitarian consumption has an indirect causal effect on game purchase or usage through hedonic consumption.
Practical implications
Game development for consumers online, on wireless devices and on consoles should place greater emphasis on the practical implications of hedonic consumption. Attention could be focused on perceived enjoyment, self‐concept, self‐congruity and self‐efficacy as the primary drivers of use and purchase. Practical solutions should also be developed to develop the UHDM effect.
Originality/value
This is the first paper in the game context to explore and model the relationship between hedonic, utilitarian consumption and the UHDM effect on game purchase and usage. This paper is also unique because it provides results across four game groups: all games (ALL), Sports/Simulation/Driving (SSD), Role Playing Game/Massively Multiplayer Online Role‐Playing Game Strategy (RPG), and Action/Adventure/Fighting (AAF).
OVERVIEW:
The best companies often work closely with their customers to uncover needs and wants that can be translated into new or improved product or service offerings. The lead-user research method goes a step further, looking not only to the typical customer, but to those users whose needs and preferences lead the market. These lead users, as they are called, will modify products or use them in unforeseen ways to meet their needs. The lead-user research method was developed as a systematic way to mine the insights and innovations of these lead users. Since it was pioneered in the late 1990s, the lead-user method has evolved and grown. This paper offers an update on the use of the method and on adaptations to increase its efficiency using online search and communities as well as an overview of lessons learned from experiences on more than 20 lead-user projects.
The author proposes an alternative estimation technique for quadratic and interaction latent variables in structural equation models using LISREL, EQS, and CALIS. The technique specifies these variables with single indicants. The loading and error terms for the single indicants can be specified as constants in the structural model. The author's technique is shown to perform adequately using synthetic data sets.
In the coming years, cities face an urban transition in order to manage their resources, public administration, safety, regional economics, education, innovation, health, culture, and entertainment an efficient way. The Smart City concept includes several smart dimensions relating to the environment, mobility, the economy, governance, people, and living. This study explores the impact of Smart home dimensions on highly-educated students, drawn from what is known as the “digital native” population, one of the key components of the smart living concept. As digital natives are already engaged with the adoption of new technologies and sustainable development, we have postulated that they would be keen to use smart technologies in the home that could improve their daily life while preserving the environment. This study tests a scale developed to measure consumer perception of the Smart Home Concept (SHC) and the impact on “Performance Expectancy” and “Habit”. The model was built using some of the constructs of existing technology acceptance models, such as the UTAUT2 and TAM2 models. Based on our findings, digital natives seem ready to adopt the SHC and our results highlight the fact that Smart Home products could be targeted at this specific population.
Advances in causal modeling techniques have made it possible for researchers to simultaneously examine theory and measures. However, researchers must use these new techniques appropriately. In addition to dealing with the methodological concerns associated with more traditional methods of analysis, researchers using causal modeling approaches must understand their underlying assumptions and limitations.
User participation is increasingly being seen as a way to mitigate the challenges that firms face in innovation, such as high costs and uncertainty of customer acceptance of their innovations. Thus, firms are establishing online platforms to support users in innovating services, such as iOS and Android platforms for mobile data service (MDS) innovation. Mobile phone platforms are characterized by technology (toolkits) and policy (rules) components that could influence user’s innovation. Additionally, attributes of user innovators (lead userness) are expected to drive their innovation behavior. Yet it is unclear how these characteristics jointly impact users’ service innovation outcomes. To address this knowledge gap, we propose a model that builds on user innovation theory and the work design literature to explain the influences of lead userness, design autonomy, toolkit support, and their interactions on user’s innovation outcomes (innovation quantity) on these platforms. We conceptualize toolkit support in terms of two constructs (i.e., ease of effort and exploration), and design autonomy in terms of three constructs (i.e., decision-making autonomy, scheduling autonomy, and work-method autonomy). The model was tested using survey and archival data from two dominant mobile phone platforms (i.e., iOS and Android). As hypothesized, lead userness, exploration through toolkits, and ease of effort through toolkits positively affect users’ innovation quantity. Additionally, decision-making autonomy and work-method autonomy influence innovation quantity, but scheduling autonomy does not. Further, the proposed three-way interactions between lead userness, toolkit support, and design autonomy constructs on users’ quantity of MDS innovation are largely supported. The findings enhance our understanding of user innovation on mobile phone platforms.
The statistical tests used in the analysis of structural equation models with unobservable variables and measurement error are examined. A drawback of the commonly applied chi square test, in addition to the known problems related to sample size and power, is that it may indicate an increasing correspondence between the hypothesized model and the observed data as both the measurement properties and the relationship between constructs decline. Further, and contrary to common assertion, the risk of making a Type II error can be substantial even when the sample size is large. Moreover, the present testing methods are unable to assess a model's explanatory power. To overcome these problems, the authors develop and apply a testing system based on measures of shared variance within the structural model, measurement model, and overall model.
A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM), by Hair, Hult, Ringle, and Sarstedt, provides a concise yet very practical guide to understanding and using PLS structural equation modeling (PLS-SEM). PLS-SEM is evolving as a statistical modeling technique and its use has increased exponentially in recent years within a variety of disciplines, due to the recognition that PLS-SEM’s distinctive methodological features make it a viable alternative to the more popular covariance-based SEM approach. This text includes extensive examples on SmartPLS software, and is accompanied by multiple data sets that are available for download from the accompanying website (www.pls-sem.com).
External lead users’ ideas are valuable to firms but difficult to access due to their location outside organizational boundaries. A potential solution to this problem is to employ lead users within organizations, i.e. to use internal/embedded lead users. Due to their ability to link knowledge about needs and solutions, internal lead users can be expected to produce better ideas compared to external lead users or ordinary employees. We test this conjecture in the home appliances industry using a sample of 864 employees (283 ideas) and 239 users (66 ideas). We find that internal lead users’ ideas are of higher quality than those of ordinary employees and users, but – unexpectedly – are of lower quality than the ideas of external lead users. These findings contribute to research on internal/embedded users by showing how their ideas differ from ideas from other relevant sources of innovation. Our findings contribute also to research on external users’ compared to employees’ ideas as inputs to new product development and the literature on individual knowledge recombination for innovation.
Increasingly, retailers rely on interactive technologies to improve consumers' shopping experiences. On the one side, interactive kiosks and smart mirrors make use of dedicated devices and software to explain, configure, and recommend products. On the other side, computer programs – so-called apps – are installed on the consumer's own device for the same purpose. They can be used at home, or – if installed on a mobile device – in retail outlets or on the move. In all cases, augmented reality (AR) can support these purposes by placing virtual content (e.g. new furniture) in a real environment (the consumer's home). The overall perception and acceptance toward such interactive technologies are discussed in this paper. Users' perceptions and experiences are measured by applying a modified technology acceptance model (TAM). Four experiments, two with marker-based and two with markerless AR apps are presented to support the generalization of the results, the measurement models and the measurement approach. The results are satisfactory with regard to the robustness of the TAM model. However, the relative importance of hedonic (enjoyment, pleasure, fun) and utilitarian (information) aspects varies for different kinds of AR apps and has to be considered for improvement to occur. From a measurement point of view the acquiescence bias has to be dealt with when developing scale items.
Retail settings are being challenged to become smarter and provide greater value to both consumers and retailers. An increasingly recognised approach having potential for enabling smart retail is mobile augmented reality (MAR) apps. In this research, we seek to describe and discover how, why and to what extent MAR apps contribute to smart retail settings by creating additional value to customers as well as benefiting retailers. In particular, by adopting a retail customer experience perspective on value creation, analysing the content of MAR shopping apps currently available, and conducting large-scale surveys on United States smartphone users representing early technology adopters, we assess level of use, experiential benefits offered, and retail consequences. Our findings suggest that take-up is set to go mainstream as user satisfaction is relatively high and their use provides systematic experiential benefits along with advantages to retailers. Despite some drawbacks, their use is positively associated with multiple retail consequences. MAR apps are seen as changing consumer behaviour and are associated with increasingly high user valuations of retailers offering them. Implications for more effective use to enable smart retail settings are discussed.
The lead user concept has attracted a lot of attention from scholars and practitioners alike. However, different studies apply different conceptualizations and measures of the lead user construct. Such variation in measurement of the construct make it almost impossible to consolidate findings from prior lead user research, which in turn hampers the accumulation of insights on the concept itself. This is also a challenge with respect to managerial practice: due to different interpretations of the concept, managers and R&D staff find it difficult to identify lead users for workshops and cooperation, and companies are often unable to transfer results from lead user projects to new product and business development. As a result, they only rarely repeat their work with lead users. The aim of this article is therefore to provide some thoughts and guidance on the conceptualization and measurement of the lead user construct.
Recently, there has been a dramatic proliferation of mobile apps, many of which allow for in-app purchases; however, little research has focused on what motivates a user to make such purchases. Based on the Affect-Behavior-Cognition model (ABC model) of attitudes, we developed a model involving perceived value and social influences. The model is then empirically evaluated using survey data collected from 485 users regarding their perception of mobile apps. The findings indicate that stickiness and social identification significantly influence a user's intention to make in-app purchases. Specifically, significant differences were found between users and potential users in terms of antecedents to forming stickiness and making in-app purchases. The results may provide further insights into the development of effective mobile app business models and adoption strategies.
This paper introduces a framework that aims to support the design and development of mobile services. The traditional innovation process and its supporting instruments in form of creativity tools, acceptance research and user-generated content analysis are screened for potentials for improvement. The result is a reshaped innovation process where acceptance research and usergenerated content analysis are fully integrated within a creativity tool. Advantages of this method are the enhancement of design relevant information for developers and designers and the possibility to forecast market success.
Interest in the problem of method biases has a long history in the behavioral sciences. Despite this, a comprehensive summary of the potential sources of method biases and how to control for them does not exist. Therefore, the purpose of this article is to examine the extent to which method biases influence behavioral research results, identify potential sources of method biases, discuss the cognitive processes through which method biases influence responses to measures, evaluate the many different procedural and statistical techniques that can be used to control method biases, and provide recommendations for how to select appropriate procedural and statistical remedies for different types of research settings.
Domestic technologies, such as assistant robots, have the potential to provide considerable assistance to families in societies with aging populations and increasing labor costs. This study intends 1) to test a series of innovation adoption theories to examine which models may better predict consumer behavioral intention toward the use of domestic technologies and 2) to examine whether lead-usership and global identity predict intentions. With the floor cleaning robots as target products of the survey and employing a sample of 299 potential consumers in Taiwan, a rapidly aging society, this study finds: 1) the theory of planned behavior (TPB) model accounts for 55% of the variance and better predicts purchase intention than the technology acceptance model and the theory of reasoned action. 2) In the nested TPB model, the effects of usefulness and ease of use on intentions are fully mediated by attitude. 3) When including 2 additional constructs, global identity and lead-usership, the explanatory power of the extended TPB model rises from 55% to 66%. 4) Lead-usership moderates the link between attitude and intentions, that is, the stronger the lead-usership the weaker the effect of attitude on intentions. 5) As lead-usership and global identity are included in the model, the impact of perceived behavioral control vanishes. 6) Subjective norms moderate (weakening) the effect of attitude on adoption intentions; thus, word of mouth and peer pressure could be powerful communication tools to persuade follower consumers to adopt domestic technologies, such as family robots.
There is a great deal of evidence that method bias influences item validities, item reliabilities, and the covariation between latent constructs. In this paper, we identify a series of factors that may cause method bias by undermining the capabilities of the respondent, making the task of responding accurately more difficult, decreasing the motivation to respond accurately, and making it easier for respondents to satisfice. In addition, we discuss the psychological mechanisms through which these factors produce their biasing effects and propose several procedural remedies that counterbalance or offset each of these specific effects. We hope that this discussion will help researchers anticipate when method bias is likely to be a problem and provide ideas about how to avoid it through the careful design of a study.
A holistic construal is presented to represent and test organizational theories, using examples from contemporary organizational theory and data from a recent study of wholesale distribution companies. The methodology provides a mechanism for linking theory construction and theory testing in organization research by explicitly representing theoretical and empirical concepts, nonobservational hypotheses, and correspondence rules. Unlike traditional methods used for construct validation and hypothesis testing, the methodology permits the researcher to model the extent of random and systematic error in measures of theoretical concepts and to control these sources of error when testing substantive hypotheses. Comparisons made between the holistic construal and traditional procedures show how the latter can lead to inaccurate conclusions about the status of a theory's constructs, hypotheses, and measures.
‘This is an excellent book which introduces the underlying concepts and practical issues related to psychosocial measurement and scale development’ - Statistics in Medicine. Effective measurement is a cornerstone of scientific research. Yet many social science researchers lack the tools to develop appropriate assessment instruments for the measurement of latent social-psychological constructs. Scaling Procedures: Issues and Applications examines the issues involved in developing and validating multi-item self-report scales of latent constructs. Distinguished researchers and award-winning educators Richard G Netemeyer, William O Bearden, and Subhash Sharma present a four-step approach for multi-indicator scale development. With these steps, the authors include relevant empirical examples and a review of the concepts of dimensionality, reliability, and validity. Scaling Procedures: Issues and Applications supplies cutting-edge strategies for developing and refining measures. Providing concise chapter introductions and summaries, as well as numerous tables, figures, and exhibits, the authors present recommended steps and overlapping activities in a logical, sequential progression. Designed for graduate students in measurement//psychometrics, structural equation modeling, and survey research seminars across the social science disciplines, this book also addresses the needs of researchers and academics in all business, psychology, and sociology-related disciplines.
Mobile business applications are changing the way we work and interact. Organizations have to understand why individuals choose to adopt or reject mobile business applications to effectively utilize potential benefits. Researchers and practitioners have to take into account that adopters differ from one another. In this context the demographic change is a serious challenge. Therefore, this paper investigates influential drivers of adoption for mobile business applications and examines how they differ among the rising segment of the digital natives and the increasing share of the greying market. After synthesizing research on adoption as well as on technology acceptance, we propose a new theoretical model. Subsequently, we empirically test our model with a heterogeneous sample of 653 participants using structural equation modeling and multi-group analysis. We find that convenience, perceived quality, enjoyment, perceived ease of use and perceived usefulness influence the acceptance of mobile business applications. The analysis of different age groups reveals that convenience is more important and ease of use is less important for younger users than for older individuals. Finally, we discuss the implications of our findings for designers of mobile business applications.
Online reviews by users have become an increasingly important source of information. This is true not only for new users of goods or services, but also for their producers. They extend the insight into the acceptance of new goods and services, e.g. at the point of sale, from a mere sales and usage quantity oriented point of view to a cause and effect oriented one. Since online reviews by consumers of many goods and services are nowadays widespread and easily available on the internet, the question arises whether their analysis can replace the more traditional approaches to measure technology acceptance, e.g., using questionnaires with TAM (Technology Acceptance Model) items. This paper tries to answer this question using IKEA׳s mobile catalogue app as an example. For comparisons reasons, data on the acceptance of the current version of this catalogue is collected in four different ways, (1) as answers to batteries of TAM items, (2) as assignments to pre-defined adjective pairs, (3) as textual likes and dislikes of users (simulating online reviews), and (4) as publicly available (real) reviews by users. The source for (1)–(3) is a survey with a sample of respondents, the source for (4) an online forum. The data is analyzed using partial least squares (PLS) for TAM modeling and text mining for pre-processing the textual data. The results are promising: it seems that data collection via surveys can be replaced – with some reservations – by the analysis of publicly available (real) online reviews.
Whilst adoption of mobile payments (m-payments) has been studied in several contexts, none of the existing research has attempted to systematically analyse the constructs used to date to develop a more contextually grounded research model. Therefore, this paper sought to extend an appropriate
model of adoption with theoretically grounded constructs. As UTAUT2 has recently been developed to translate UTAUT (Unified Theory of Acceptance and Use of Technology) to the consumer context, and UTAUT has previously been used by m-payment adoption research, it was concluded that UTAUT2 would
be the most appropriate to employ. Based on current research findings on m-payment, m-banking, and m-commerce adoption, UTAUT2 was extended with self-efficacy, innovativeness, trialability, perceived risk and trust.
This paper examines determinants of purchasing flights from low-cost carrier (LCC) websites. In doing so an extended unified theory of acceptance and use of technology (UTAUT) model is proposed building on earlier work by Venkatesh, Thong, and Xu (2012). The results, derived from a sample of 1096 Spanish consumers of LCC flights, indicate that key determinants of purchasing are trust, habit, cost saving, ease of use, performance and expended effort, hedonic motivation and social factors. Of these variables, online purchase intentions, habit and ease of use are the most important.