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Stakeholders’ consensus on organizational technology acceptance; using thematic analysis and SEM
Abstract
Purpose
Much research has been conducted on technology acceptance (TA), which is mainly about the acceptance by one user. As more than one person should be involved in business-to-business TA decision-making, it is suggested that different processes for making a consensus among different stakeholders should be considered. The purpose of this study is to demonstrate a model for essential activities and characteristics of advocators for accelerating the stakeholders’ consensus in the technology acceptance (SCTA).
Design/methodology/approach
The conceptual model of this research is presented using a thematic analysis of the interviews with the relevant experts and existing literature. Furthermore, the structural equation model was applied for analyzing empirically how advocators’ characteristics and activities affect consensus. In total, 248 respondents completed the questionnaires. Experts’ opinions, Krippendorff’s alpha index, Cronbach’s alpha coefficient and goodness of fit indices were applied to verify the reliability of the results.
Findings
Results show that “being leader” and “being influential” are two main characteristics for the advocators’ team that significantly affect SCTA. Reducing perceived “risk” for each stakeholder, developing a “common understanding” among them and demonstrating “resource readiness” are also the main tasks of advocators leading to SCTA.
Originality/value
The role of advocators in SCTA has been neglected. The main contribution of this study is identifying the required advocators’ activities and characteristics for achieving SCTA.
... Moreover, some influencing factors such as the objective of the collaboration, original technology owner's country, technology life cycle, sector of activity, partners typology, investment, time horizon and costs are to be born in mind in the technology transfer decision (Chiesa and Manzini, 1998). Furthermore, stakeholders have different opinions on technologies, priorities, ownerships, users, providers, purchasing type, pricing, implementation methods, intellectual property, revenue, etc. Different understandings of a particular issue may affect the mutual collaboration of actors negatively (Holzweissig and Rundquist, 2017;Sarkeshikian et al., 2020). They should evaluate different choices in the process of decision-making (Cunha et al., 2016). ...
... Gathering the team and networking with some advocators: the use of internal advocators in organizations has been cited as a solution to build consensus (Schmidt et al., 2015;Sarkeshikian et al., 2020). Therefore, in this assumption, some agents are considered as advocators. ...
... Gathering the team that their characteristics have a significant impact on other stakeholders (high acceptance): the presence of leaders and influential people in the technology advocators' team is mentioned as another solution to reduce the consensus time in TA (Sarkeshikian et al., 2020). In this assumption, the influence of advocators on others could be considered double. ...
Purpose
In the organizational technology acceptance (TA) decision-making process, stakeholders have many divergence opinions. Sometimes, an opposing stakeholder of a decision can stop the whole process of decision-making. In such a case, consensus may take a long time followed by a high risk. The purpose of this study is twofold. First, to find the best model with the least prediction error for the simulation of the consensus process in TA decisions. Second, to investigate the time required for the consensus process to yield the TA decision in different scenarios and to propose solutions to reduce the required time in a case study.
Design/methodology/approach
This study uses real-world data containing 1,186 actual observations. Stakeholders are decision-maker agents, and the observations are derived from survey data and used for simulation. Data were obtained from 126 experts in the Iranian rail freight industry. Opinion dynamics theory was used for agent-based simulation of stakeholders’ behavior. The agents interacted over time and their effects on other agents’ opinions were investigated.
Findings
The results illustrate an appropriate opinion changing model, a data-gathering method and a simulation scenario for TA consensus. The suitable model was selected after examining the advantages and disadvantages of and comparing the prediction results for different models with the real database of opinions. To reduce the consensus process time, the results suggest gathering the team members and networking with some leaders as advocators. A large number of advocators with high acceptability and continuous exchanging messages with other agents can improve the acceptance rate and have the most significant impact on other stakeholders’ opinions.
Originality/value
To the best of the authors’ knowledge, previous studies simulate individual TA processes. However, there is a difference between the individual TA and the organizational TA. The organizational TA requires the simultaneous decision-making of different stakeholders. In this research, the organizational TA was investigated.
... State-owned businesses are businesses that the Government owns wholly or in part in order to carry out particular tasks (Herdjiono, 2019;Sarkeshikian et al., 2021). Based on who owns the company, there are two different types of companies: SOE and non-SOE. ...
... The Government has the power to decide how SOEs are managed (Bhat et al., 2018). Decision-making is extremely challenging at state-owned enterprises due to political pressure, requirements from other state institutions, influence from non-state stakeholders and other powerful actors (Garg & Singh, 2017;Apriliyanti & Randøy, 2019;Sarkeshikian et al., 2021). These businesses are difficult for the public to oversee, and their manager is frequently replaced due to political reasons (Herdjiono, 2019). ...
The current study examines how corporate governance (CG) affects the business performance of state-owned enterprises (SOEs) and non-state-owned enterprises (non-SOEs). The data of 36 listed SOEs and 104 non-SOEs registered on the Indian BSE Dollex 200 has been endorsed for 10 years (2011–2012 to 2020–2021). Both random effects model and fixed effects models are used for analysis. Using regression analysis as a tool to check the impact of the board variables (board attendance, board meetings, board size, board independence and women directors) as CG indicators on firm performance (ROA, ROE and Tobin’s Q), this study reports that CG variables do not have any significant impact on the firm performance of SOEs other than appointment of the independent directors and board attendance. However, CG practices are significantly associated with the corporate performance of non-SOEs other than board meetings. This study provides insight into how CG practices affect SOEs and non-SOEs differently and highlights the importance of ownership pattern in the connection between CG standards and Indian corporate value.
Purpose-The purpose of this paper is to investigate consumers' acceptance and use of sports and fitness wearable devices based on technology readiness (TR). In addition, the technology readiness and acceptance model (TRAM) will be used to investigate consumers' intention to use sports wearable devices (for simplicity, sports wearable devices will be simplified to the term "sports wearables"). Design/methodology/approach-Convenience sampling was conducted from Korean consumers (n ¼ 247). Data were analyzed by partial least squares-structural equation modeling using SmartPLS 3.0. Findings-The results found that positive TR has a positive influence on perceived ease of use (PEOU) and perceived usefulness (PU), and negative TR had a negative influence on PEOU and PU. PEOU had a positive influence on perceived usefulness (PU). Both PEOU and PU led to intention to use sports wearable devices. Also, the multi-group analysis found a positive correlation between TR and PEOU for especially male users. Originality/value-The findings of this study provide a better understanding of consumers' behavioral intent to use sports wearables. Particularly, it also provides evidence that the TRAM is an appropriate framework for predicting users' intention to use sports wearables. This study also stresses the important role of TR in consumers' psychological processes leading up to the actual use of novel sports wearables.
Healthcare is moving towards new patterns and models, with an increasing attention paid to prevention. Smart technologies for mobile health care are emerging as new instruments to monitor the state of essential parameters in citizens. A very debated subject in literature is the critical role played by citizens’ acceptance and willingness to pay for mobile health technologies, especially whereas the services provided are preventive rather than curative. The adoption of such technologies is, indeed, a necessary condition for the success of mobile personalized health care. In this view, a conceptual framework, grounded on Technology Acceptance Model, is developed to explore the determinants of users’ willingness to adopt and pay for a mobile health care application for cardiovascular prevention. Empirical data are collected from a sample of 212 non-hypertensive Italian individuals and analyzed through Structural Equation Modeling. Results confirm that usefulness and ease of use determine both intention to accept and willingness to pay for mobile health smart technologies. Results show also the significant role played by social influence as well the role as antecedents played by technology promptness, innovativeness and prevention awareness. This study offers novel insights to design and promote smart application to improve mobile health care, with implications for researchers and practitioners in health care, research & development, and marketing.
Purpose
As social media have become very popular and an integral part of the world economy in recent years, identifying factors that influence consumers’ attitudes toward social media sites has become a major goal of many researchers in academia and industry. This paper aims to identify factors that predict consumers’ attitudes and intentions toward usage of Instagram, a relatively new social media tool. In addition, it examines the role of an important dimension of culture – individualism vs collectivism –to determine cultural influences on the adoption of social media in the USA (i.e. an individualistic culture) and Kuwait (i.e. a collectivist culture).
Design/methodology/approach
Data were collected from a convenience sample of undergraduate business and MBA students from Kuwait and the USA. To validate the measures for the constructs depicted in the conceptual model, the authors conducted an exploratory factor analysis using all items. They then conducted a confirmatory factor analysis to further evaluate the adequacy and validity of the measurement model. They also tested the hypotheses using structural equation modeling (SEM).
Findings
Out of the nine hypotheses that were tested for significance, the SEM results indicated that seven hypotheses were significant. The results indicated a non-significant result between perceived critical mass is not a predictor of perceived usefulness and social influence to attitude.
Research limitations/implications
The current study has some limitations that need to be recognized and can be used as guidelines for future research. First, college students represent only a portion of online users and may impact the external validity of our study. Hence, a more diverse sample with a broader range of ages, incomes, education levels, cultures and national origins would be advisable. Second, this study featured a dynamically continuous innovation (Instagram) rather than a discontinuous innovation. Third, other factors can be carried out to see other variables other than those described in this study to predict consumer’s attitude and intention to use the social media.
Practical implications
Cultural characteristics such as individualism/collectivism would seem to be potentially useful when segmenting countries. The results of the current study indicate that the modified model is applicable to a cross-national group of social media users. This study demonstrates the impact of cultural characteristics on various technology adoption. Hence, managers must be aware that countries can be grouped according to the type of cultural effect within each. Each social media category, clusters can be formed consisting of countries that are expected to have similar usage patterns based on technological capability and social norms. By understanding the factors that influence each cluster of countries, firms can design customized social media programs.
Social implications
This research provides valuable information to better understand the consumers’ attitudes and intentions toward the emerging social media landscape. Indeed, the popularity of social media has greatly changed the way in which people communicate in today’s world. In particular, Instagram has gradually become a major communication media for both social and business purposes. This research shed light into the factors that influence intentions to adopt social media across different cultures. It empirically examines the role of culture – individualism vs collectivism – by using two samples (i.e. Kuwait and the USA) to determine cultural influences on the adoption of social media in different cultures.
Originality/value
Using data drawn from Kuwait and US samples, this current study draws upon the theory of reasoned action (Fishbein and Ajzen, 1975) and the technology acceptance model (Davis, 1989). The results of the analysis indicate that the modified model is applicable to a cross-national group of social media users. Moreover, this study demonstrates the impact of cultural characteristics on various technology adoption constructs in the model.
Purpose
Acceptance of remanufactured products by the consumers is highly essential for the success of closed loop supply chain and for achieving the goal of circular economy. However, the literature shows that consumers are reluctant to purchase remanufactured products. Therefore, the study of attitude and purchase intention (PI) of the consumers toward remanufactured products becomes inevitable for popularizing these products. The paper aims to discuss this issue.
Design/methodology/approach
This research proposes a conceptual model to examine the critical factors influencing the PI of Indian consumers toward remanufactured products. Further, this model is empirically tested, using structural equation modeling technique, based on the data obtained from 1,534 respondents.
Findings
The findings of this research suggest that PI of consumers is influenced by attitude, personal benefits, remanufactured product knowledge, risk perception, subjective norm and market strategy. However, perceived behavior control and green awareness have a non-significant impact on the PI of Indian consumers.
Research limitations/implications
The proposed conceptual model is tested only against the data received from the students of Indian universities who possess electronic gadgets.
Practical implications
The circular economy can be realized through remanufacturing if the attitude of consumers is shaped positively toward remanufactured products through the dissemination of comprehensive product information.
Originality/value
This research is the first attempt to assess the PI of Indian consumers by developing and testing the conceptual model. Further, this research provides guidelines to remanufacturing firms for attracting the consumers toward the purchase of remanufactured products.
Manuscript Type
Empirical
Research Question/Issue
A significant part of the world's economy is controlled by state‐owned enterprises, and there is a lack of research on how the interplay between politics and business plays out in the boardroom. We address this issue by analyzing boardrooms’ decision outcomes as they relate to the role of boardroom power distribution, members’ motivation, and decision‐making approach.
Research Findings/Insights
Based on information from a sample of 22 state‐owned Indonesian enterprises, we found that a decision outcome in a boardroom is influenced by three factors: the motivation and decision‐making approach of individual board members as well as the distribution of power in the boardroom. We also found that, in several cases, board members are powerless decision makers, as the decision‐making process in the boardroom is controlled by the government and politicians.
Theoretical/Academic Implications
This study contributes to the understanding of the inner working processes in emerging‐market boardrooms, and we build a theory‐driven typology of boards’ decision outcomes.
Practitioner/Policy Implications
This paper highlights the nature of political interactions within the boards of state‐owned enterprises, and we recommend that state‐owned enterprises seek board members who are knowledgeable and rationally motivated, as well as seek a (more) equal power distribution among board members. Politicking and political interference can lower the quality of boards’ decisions.
The potential of emerging information technology has been proposed by many researchers and practitioners in the construction industry, including smart construction. Meanwhile, emerging information technology acceptance and use is one of the major subjects for current smart construction study and practice. Furthermore, although there are many potential applications for and benefits of emerging information technology in the development of smart construction system, the current issue is that it is unclear why this technology is adopted, and that the factors that enhance its implementation are unknown. Therefore, an emerging information technology acceptance model (EITAM) was proposed, and our hypotheses were tested by structural equation modeling (SEM) based on an open-ended questionnaire survey. This study identified the factors that affect emerging information technology acceptance from engineering construction technology and innovation professionals. The EITAM evaluation results can be used to develop an emerging information technology acceptance strategy that is suitable for continual smart construction promotion. Finally, this study can provide guidance to smart construction developers to establish an effective technological integration plan.
The development of mobile commerce depends on extensively accepted mobile payment (MP) systems. Even though new MP methods have been gradually induced in the market, but their adoption has stayed modest. Little research has been conducted to examine and explain views of owners or managers of on the new payment technology. This paper explores retailer’s adoption of the mobile payment system; based on an extended model of technology–organization–environment (TOE) framework, eleven factors were theorized to describe retailer’s acceptance of MP systems. Data was collected from 188 retails stores. First, structural equation modeling (SEM) was applied to check which factor had a significant influence on MP adoption. Following, the neural network technique was used to rank the significant predictors attained from SEM. The results revealed that external pressure and relative advantages are the most important antecedents of the intention to use MP. The results of this study will be useful for MP providers/suppliers in making optimum strategies. Implications, limitation and future research are discussed.
The purpose of this study is to examine the predictive power of the technology acceptance model (TAM) on customer’s intention to participate in the social customer relationship management (sCRM) program. Three additional constructs, perceived risk, user satisfaction, and perceived enjoyment were added to the original TAM. The collected data (n=264) were subject to statistical analysis of structural equation modeling, exploratory and confirmatory factor analysis. The study reveals that TAM by itself is not a robust model to predict customer’s intention to participate in the sCRM program. Among the original constructs of TAM, attitude is the only determinant of intention. The impact of perceived usefulness and perceived ease of use was not significant on intention. Among the extended variables, perceived risk is the only variable that significantly influenced intention; perceived enjoyment and user satisfaction did not have any impact on intention. By applying the TAM to the sCRM, this study extends the overall body of the theoretical knowledge surrounding technology acceptance.
This study selects a case involving water purification systems in Binh Dinh, Vietnam, as an appropriate example to examine appropriate technology (AT) acceptance factors and derive possible insights into the stable settlement and development processes whereby to diffuse AT. This analysis administered questionnaires to users of water purification systems installed in five elementary and middle schools in Binh Dinh, from which 296 samples were collected for the final analysis. The original unified theory of acceptance and use of technology (UTAUT) was modified by incorporating the factors of physical support and educational support, and empirically studied using structural equation modeling. The findings revealed that all constructs significantly affect the behavioral intentions toward AT, of which performance expectancy and physical support have the most significant impact. Thus, understanding local needs and improving the quality of life by spreading AT are key in its acceptance and diffusion. Furthermore, sustainable technology is guaranteed only if human and economic support is accompanied by AT development that fits the local context and environment. Finally, the analysis results, that moderating effects differ by role, imply that educational support's influence varies between manager and student groups.
Purpose
This paper aims to investigate the role of Smart Technologies and Big Data as relevant dimensions in affecting the emerging social and economic dynamics of society with the aim to trace possible guidelines and pathways for decision makers and researchers interested in the governance of the Smart City’s ecosystem. The increasing attention to the domain of technologies and the amazing scenario that is emerging as a consequence of the influence of Smart Technology and Big Data in everyday life require reflection upon the ways in which the world is changing.
Design/methodology/approach
The paper adopts the interpretative lens provided by the systems thinking to investigate the challenging domain of the Smart City. A qualitative and interpretative approach is adopted to reflect upon the role of technologies in everyday life.
Findings
The Smart City ecosystem is defined as a multilevel construct useful for understanding how technical and technological dimensions of the Smart City can be managed not only as supportive instruments but also as key pillars to support, facilitate and ensure an effective cognitive alignment among all the involved actors.
Originality/value
This paper provides a tangible evidence of the systems thinking contribution in analysing, understanding and managing dimensions and paths of social dynamics. A contribution to previous studies is provided with reference to systems thinking, Big Data and Smart City.
Background: In tourism, globally there is a growing interest in social media marketing research. However, most previous research on social media marketing has focused on large tourism enterprises such as chain hotels, leaving out small tourism businesses such as travel agencies and tour operators.
Objective: The aim of this research was to establish factors that influence attitude towards the use of social media marketing by travel agencies and tour operators in South Africa.
Method: The study adopteda quantitative approach through the use of questionnaires. Data used in the analysis were collected from 150 travel agencies and tour operators by means of a structured questionnaire. Multiple regression analysis and one-way ANOVA were used for data analysis.
Results: The results showed that managerial support and managers’ level of education are the two main internal factors which influence attitude towards the use of social media marketing. Pressure from competitors, perceived benefits and perceived ease of use were found to be the most prominent external factors which influence the use of social media marketing. The results also revealed that technical knowledge moderates the relationship between attitude towards social media marketing and the level of social media marketing usage.
Conclusion: The study concludes with these recommendations: Management of travel agencies, tour operating businesses and the South African government should support the use of social media marketing by small tourism businesses through providing training and workshops on social media marketing for the employees to acquire the required skills.
Recognition the needs and acceptance of individuals is the beginning stage of any businesses and this understanding would be helpful to find the way of future development, thus academicians are interested to realize the factors that drive users’ acceptance or rejection of technologies. A number of models and frameworks have been developed to explain user adoption of new technologies and these models introduce factors that can affect the user acceptance. In this paper, an overview of theories and models regarding user acceptance of technology has been provided. The existing review will emphasize literature that tries to show how developers and researchers presage the level of admission any information technology will attain.
Although an Internet-of-things (IoT) based smart home solution can provide an improved and better approach to healthcare management, yet its end user adoption is very low. With elderly people as the main target, these conservative users pose a serious challenge to the successful implementation of smart home healthcare services. The objective of this research was to develop and test a theoretical framework empirically for determining the core factors that can affect the elderly users’ acceptance of smart home services for healthcare. Accordingly, an online survey was conducted with 254 elderly people aged 55 years and above across four Asian countries. Partial Least Square Structural Equation Modelling (PLS-SEM) was applied to analyze the effect of eight hypothesized predicting constructs. The user perceptions were measured on a conceptual level rather than the actual usage intention towards a specific service. Performance expectancy, effort expectancy, expert advice, and perceived trust have a positive impact on the behavioral intention. The same association is negative for technology anxiety and perceived cost. Facilitating conditions and social influence do not have any effect on the behavioral intention. The model could explain 81.4% of the total variance in the dependent variable i.e. behavioral intention. Effort expectancy is the leading predictor of smart homes for healthcare acceptance among the elderly. Together with expert advice, perceived trust, and perceived cost, these four factors represent the key influence of the elderly peoples’ acceptance behavior. The present paper provides the groundwork to explore the process of the actual adoption of smart home services for healthcare by the elderly people with potential future research areas. OAPA
Business intelligence systems (BISs) refer to a wide range of technologies and applications useful for retrieving and analyzing a large amount of information with the goal to generate knowledge useful for making effective business decision. In order to investigate adoption of BISs in companies, we propose a model based on the technology acceptance model (TAM) that is expanded by variables representing the concept of a project management maturity (PMM). The survey on the sample of USA companies has been conducted with the chief information officer (CIO) as the main informant. A structural equation model has been developed in order to test the research model. Results indicate that TAM expanded with the notion of PMM is useful in increasing understanding of BISs adoption in companies.
We review the literature to identify common problems of decision-making in individuals and groups. We are guided by a Bayesian framework to explain the interplay between past experience and new evidence, and the problem of exploring the space of hypotheses about all the possible states that the world could be in and all the possible actions that one could take. There are strong biases, hidden from awareness, that enter into these psychological processes. While biases increase the efficiency of information processing, they often do not lead to the most appropriate action. We highlight the advantages of group decision-making in overcoming biases and searching the hypothesis space for good models of the world and good solutions to problems. Diversity of group members can facilitate these achievements, but diverse groups also face their own problems. We discuss means of managing these pitfalls and make some recommendations on how to make better group decisions.
Information systems and technology have become essential tools for organizations to achieve their goals. Therefore, many technology acceptance theories and models have been developed in the field. Research showed a number of models that introduce the factors which make information systems successful. Based on the theoretical lens rooted in the literature, the researchers critically reviewed ten models and theories on individual acceptance of technology. The review identifies the major models to make explicit assumptions. The present study tries to provide a summary of strengths and weaknesses that have been discussed about these models and theories.
This paper contributes to the existing literature by comprehensively reviewing the concepts, applications and development of technology adoption models and theories based on the literature review with the focus on potential application for the novelty technology of single platform E-payment. These included, but were not restricted to, the Theory of Diffusion of Innovations (DIT) (Rogers, 1995), the Theory of Reasonable Action (TRA) (Fishbein and Ajzen, 1975), Theory of Planned Behavior (TPB) (Ajzen, 1985, 1991), Decomposed Theory of Planned Behaviour, (Taylor and Todd, 1995), the Technology Acceptance Model (TAM) (Davis, Bogozzi and Warshaw, 1989, Technology Acceptance Model 2 (TAM2) Venkatesh and Davis (2000) and Technology Acceptance Model 3 (TAM3) Venkatesh and Bala (2008). These reviews will shed some light and potential applications for technology applications for future researchers to conceptualize, distinguish and comprehend the underlying technology models and theories that may affect the previous, current and future application of technology adoption.
Over the past four years, fifty-three peer-nominated engineering innovators were interviewed about the process of creating innovations and the personal characteristics of engineers who do so successfully. These interviewees were drawn from across all engineering disciplines and all types and sizes of organizations where they were employed. Our main objective was to better understand the behavioral characteristics that lead engineers to discover, develop, and implement innovations in products, processes, or concepts. We call this behavior engineering innovativeness. This paper describes our rigorous process for discovering the essence of engineering innovativeness and its characteristics. As portraits of engineering innovativeness, we present 10 unique personas of engineering innovators gathered from our interviews. Identifying the behavioral characteristics of innovative engineers and their personas is important to both the education of student engineers and the professional development of practicing engineers. If engineers are expected to behave in an innovative manner in their academic and professional endeavors, then understanding the behavioral characteristics and personas of 'expert' or 'master' innovative engineers is an essential first step in learning to behave in an innovative manner or to become more innovative as an engineer. We discovered that there is not one type of engineering innovator or a single group of characteristics that define engineering innovativeness; rather, there are many different types of engineering innovators, as evidenced by the unique groupings of engineering innovativeness characteristics identified by our experts.
Information systems and technology have become essential tools for organizations to
achieve their goals. Therefore, many technology acceptance theories and models have
been developed in the field. Research showed a number of models that introduce the
factors which make information systems successful. Based on the theoretical lens rooted
in the literature, the researchers critically reviewed ten models and theories on individual
acceptance of technology. The review identifies the major models to make explicit
assumptions. The present study tries to provide a summary of strengths and weaknesses
that have been discussed about these models and theories.
Formal new product development (NPD) processes have become an important tool in NPD management. However, our understanding of what makes formal NPD process implementation successful in terms of acceptance and performance is still limited. This paper contributes to an improved understanding of factors affecting the acceptance and use of formal NPD processes. Our results show that acceptance of formal NPD processes is determined by several factors, such as ease of use, transparency of discourse, continuous improvement, involvement of NPD actors, and the ability to bridge differences in thinking. Furthermore, that acceptance of formal NPD processes affects NPD performance positively. These results draw on data from a survey posted to employees working for nine large manufacturers of commercial vehicles worldwide. The results should encourage managers to consider and enhance the factors affecting acceptance. This could be done through using new media for publication to increase transparency and perceived ease of use of the NPD process. Further acceptance of the formal NPD process is increased if it mirrors an operative reality and if organisational structures for improvement of the process are implemented and inclusive to employees involved in NPD.
Theory on the diffusion of innovations has been used to study the spread of new ideas and practices for over 50 years in a wide variety of settings. Most studies have been retrospective, and most have neglected to collect information on interpersonal communication networks. In addition, few have attempted to use the lessons from diffusion research to accelerate the diffusion of innovations. This article outlines a method to accelerate the diffusion of innovations using opinion leaders. The authors present their optimal matching procedure and report on computer simulations that show how much faster diffusion occurs when initiated by opinion leaders. Limitations and extensions of the model are discussed.
Public policymakers and managers use collaborative governance processes strategically to involve relevant stakeholders in developing plans, designing programs, and implementing policies. Although intuitive and normatively popular, such deliberative processes pose a tension between the prospective benefits of broader involvement (both instrumental benefits such as information and support for implementation and normative benefits related to representation) and the challenges of reaching agreements amongst disparate stakeholders. This paper builds upon empirical studies of complex policy networks to explore what happens when a public official initiates a collaborative governance process within a policy network. We use agent-based modeling (ABM) to simulate the impact of process attributes, such as how many people are involved, how invitees are selected, and the presence of difficult participants, within different network contexts, including network size, policy uncertainty, and preference distributions. This simulation-based approach does not rely upon survey instruments or subjective responses, and thereby complements existing empirical studies of collaborative governance. ABM provides a platform to explore the implications of key network assumptions, test different initiation strategies, model emergent properties resulting from inter-actor deliberation, and simulate long-run outcomes. Our results show how network and system conditions modulate the impact of group convening and design strategies. More generally, we demonstrate how ABM can be used to examine potential collaborative governance outputs under different design choices and network contexts when large data sets are unavailable.
In the context of a fast aging population, ubiquitous usage of smart wearable systems can alleviate the social burden caused by the increasing need of older adults for healthcare and assistance. To facilitate and encourage the use of smart wearable systems among older adults, this study investigated the factors that contribute to the acceptance of such systems, and smart wearables acceptance model for older adults was developed using structural equation modeling. The model was validated using 146 survey samples collected from adults aged 60 years and above. The results indicated that perceived usefulness, compatibility, facilitating conditions, and self-reported health status significantly and positively affect older adults' intention to use such technologies. Useful implications and insights were provided to future researchers and practitioners to enhance older adults’ acceptance of smart wearable systems.
The study examined factors that affect parental intention-to-vaccinate adolescent daughters with HPV vaccine in Mysore district, India. A cross-sectional study was conducted among 1609 parents of adolescent girls attending schools in Mysore District between February 2010 and October 2011. A validated questionnaire was used to assess parental attitudes, beliefs related with HPV infection, cervical cancer, HPV vaccine and vaccination in general. Structural equation modeling was used to estimate parameters and assess whether a model based on the integrative behavior theory would fit the current data. More than two-thirds (78.0%) of parents would accept vaccinating their daughters with HPV vaccine. Intention to HPV vaccination significantly increased with increase in the perception of parents about the benefits (standardized regression coefficient (β) = 0.39) or sources of information about HPV vaccine (β = 0.24), but intention decreased significantly with an increase in the perception about barriers to HPV vaccination β = −0.44). The effect of beliefs about severity of HPV infection or cervical cancer (β = 0.20), and beliefs about benefits (β = 0.20) or barriers (β = −0.25) to vaccination in general on intention to HPV vaccination were significantly mediated by parental attitudes and source of information about the vaccine. Geographical location significantly moderated the awareness about HPV on beliefs about severity of HPV infection or cervical cancer (β = 0.33), and the effect of religion on norms related to HPV vaccination (β = 0.19). Fit of the model to the data was acceptable. This study identified modifiable parental attitudes about HPV vaccine and beliefs related with HPV infection, cervical cancer and vaccination, which predicted parental intention-to-vaccinate their daughters with HPV vaccine in India. Health education interventions tailored to counter parental negative attitudes and beliefs about HPV vaccine and vaccination in general would be important for the community to promote HPV vaccination.
Sustainability is one of the key concepts to be addressed in planning the national energy and electricity roadmaps in South Korea. Encouraging the use of green electricity is a significant task faced by the South Korean government when implementing this strategy. Furthermore, both academic and industrial researchers are becoming increasingly interested in potential uptake patterns of green electricity. Therefore, the current study aims to explore both motivations and hindrances of the social acceptance of green electricity by users. A survey was conducted to test a research model that used the theory of planned behavior and the general model of perceived value, with factors extracted from in-depth interview sessions. The proposed research model was tested using data obtained from more than 1200 citizens in South Korea. The structural results indicated that users’ perceived value of green electricity is significantly affected by perceived benefits (positive) and risks (negative). Both the benefits and risks are significantly predicted by perceived reliability. Moreover, the benefits are significantly related to attractiveness, while there is a significant connection between perceived cost and risk. In addition, the results indicated that there are sequential combinations of perceived reliability and attractiveness-perceived benefits-value-intention, and perceived reliability and cost-perceived risk-perceived value-intention. The current study examines the implications and limitations of those results and discusses potential future research areas.
Purpose
Smart homes are recent Internet of Things applications that aim to improve residents’ quality of life. Despite its potential, the adoption of smart homes, in general, and its devices and appliances, in specific, is not reaching a mass market yet. This study aims to investigate the factors that influence residents’ intention to buy smart homes devices in Jordan.
Design/methodology/approach
This paper proposes a novel model to study users’ intention to buy smart homes devices by following a quantitative method. Responses were collected and statistically analyzed from 375 households using structural equation modeling.
Findings
Results show that user awareness, perceived cost, perceived enjoyment, personalization, user trust and social influences significantly influence the intention to buy smart home devices.
Originality/value
To the best of the authors’ knowledge, this paper is the first study attempts to predict intention to buy smart home devices in Jordan. The findings provide meaningful implications for smart home devices providers.
This paper employs the Technology Acceptance Model (TAM) to study the adoption of E-book amongst higher-education students in a well-known academic institute in the UAE, where E-book was being implemented. Computer self-efficacy, confirmation, innovativeness, satisfaction, and subjective norm are the five factors that this model embarks on to realize the influence on the university students as a result of the adoption of the E-book. This study was conducted among 350 university students through a survey which has used the quantitative evaluation to gain the optimum advantage from the subjective methods. The hypotheses were analyzed, and the model was assessed with the help of the statistical package for Structural Equation Modeling (SEM). The main findings that can be derived from the existing study are the factors that have positive impact on students’ perceived ease of use and perceived usefulness of E-book. They are computer self-efficacy, confirmation, innovativeness, and subjective norm. As a result, it is imperative for legislators and managers of E-book applications to concentrate on the factors that are critical for encouraging learning and enhancing students’ efficiency in developing and executing successful E-book applications.
Understanding farmers’ intentions to use new technologies for agricultural data collection is essential in developing digital citizen science in agriculture. While more advanced technologies are available, to reach smallholder farmers simple technologies such as mobile SMS are needed. The main objective of this study was to explore the acceptance of mobile SMS technology by smallholder farmers to provide farm related information. A second objective was to assess the role of farmer’s characteristics (i.e., age and experience) in predicting farmers’ intentions to adopt mobile SMS. This study extended the unified theory of acceptance and use of technology (UTAUT2) model with constructs from trust, personal innovativeness in information technology and mastery-approach goals. The sample (N = 220) consisted of a group of smallholder farmers from three Ethiopian regions involved in a mobile SMS experiment and a control group. Structural equation modelling showed that intentions to adopt mobile SMS technology for agricultural data provision were predicted by the perceived usefulness of the technology (performance expectancy), the effort needed to use the technology (effort expectancy), the cost of using the technology (price value) and the trustworthiness of the organising body (trust; e.g., organisations behind the citizen science initiative). Multi-group analysis using farmer’s age and experience as moderator variables further revealed that performance expectancy was important for younger farmers, whereas price value was important for farmers who did not participate in a mobile SMS experiment. This study generates useful information and implications for citizen science practitioners, policy makers and mobile application developers by identifying the driving factors for farmers to adopt mobile SMS for agricultural data collection.
Being a nation rapidly progressing to its final phase in becoming a developed nation in 2020, Malaysian businesses have been supporting the transition by providing better goods and services through the use of interoperability advanced communication and computing devices among consumers. The rapidly evolving atmosphere encourages the public to use smartphonesin almost every business transactionsthus, making it the leading device taking the front end and playing the role of universal mobile terminal. This study investigated the adoption of smartphone banking among working adultsbased on the elements of perceived usefulness, perceived ease-of-use and perceived credibility of the system. Primary data was employed in this study and 124 respondents responded to the questionnaires adapted from Technology Acceptance Model. Statistical Package for Social Science software and Structural Equation Modellingthrough Analysis of Moment Structure software were used to analyse respondents’ profile and to test the hypotheses of this study respectively. The findings indicated that the measurement of Technology Acceptance Model was valid, reliable and achieved an acceptable level of goodness-of-fit. The study revealed that there is no significant relationship between perceived usefulness and intention to use, thus adopting the smartphone banking system (β = .213, p-value > .05). In contrast, theelements ofperceived ease of use and perceived credibility have significant positive effects on intention to use smartphone banking among working adults (β = .340, p-value <.01; β = .465,p-value <.01). It was concluded that to increase the intention to adopt smartphone banking system, efforts should be undertaken bythe banks to provide sufficient channels of communication to pre-assist the consumers in using the system as well as to formulate reliable security and privacy strategies associated with smartphone banking.
A smart home is considered a primary service of the Internet of Things (IoT), and global leading companies are launching smart home services/products based on the IoT. However, the spread of smart homes has been slower than expected, and analysis of smart homes from a demand perspective is required. This study suggests implications for promoting the smart home market by analyzing factors affecting adoption and diffusion of smart homes. A technology acceptance model was used to describe the adoption of smart homes and a multivariate probit model was used to describe the diffusion of smart homes. The characteristics of smart homes such as network effects between services/products and the importance of personal information protection were considered in addition to demographic variables. The results of this study show that compatibility, perceived ease of use, and perceived usefulness have significant positive effects on purchase intention. In terms of purchase timing, unlike other information and communication technology (ICT) services/products, older consumers are more likely to purchase smart homes within a given time period than are younger consumers. Therefore, a strategy for promoting smart home purchases by young consumers is required to increase market demand.
Purpose
This study aims to investigate the applicability of technology acceptance model in explaining technology adoption among street vendors in Thailand as a representation of emerging economies.
Design/methodology/approach
A pen-and-pencil survey was administered to 370 street vendors in Bangkok; 356 usable surveys were analyzed for a completed rate of 96.2 per cent. Structural equation modeling was used to analyze the data.
Findings
This study contributes to the existing technology acceptance literature as follows: First, the predictive power of the technology acceptance model is strong and holds true for street vendors. Second, it revealed that the relationship of entrepreneurial orientation and technology adoption is completely connected through the decision-making process (i.e. trust and system characteristics, otherwise known as usefulness and ease of use). Finally, the degree of product differentiation strengthens the positive relationship between perceived usefulness and the intention to use mobile commerce.
Originality/value
This study advances the previous research on e-commerce adoption in settings outside the formal sector. More specifically, this study developed and validated the extended technology acceptance model in the smallest-scale of entrepreneurs, street vendors, to increase the understanding of the adoption of m-commerce.
Purpose
Although numerous studies have examined factors that influence smartphone acceptance and use, few have analyzed cognitive age. This study aims to use the unified theory of acceptance and use of technology (UTAUT) to test two models to analyze the moderating effect of cognitive age. This research offers relevant suggestions among different cognitive age groups.
Design/methodology/approach
A questionnaire survey was conducted to collect research data in Taiwan and the UTAUT model was used. Model 1 ensures all four antecedent constructs among digital natives (those under 34 years old). Model 2 divides the digital immigrants into two groups to test the influence of cognitive age on the behaviors of smartphone use. This study tests Model 1 using AMOS 20 to examine the measurement and structural model and validates Model 2 using partial least squares (PLSs).
Findings
In Model 1, the digital natives have sufficient confidence to accept a new technology with ease and little effort owing to most educational resources and the widespread internet. Group 1 in Model 2 reveals that the behavior of digital immigrants is similar to that of digital natives. For Group 2 in Model 2, they tend to infer that skills or tasks they associate with having higher value are more difficult to learn.
Originality/value
This study provides another dimensional result for different cognitive age groups and it has to consider not only chronological age but also cognitive age in user behavior. The result can enrich the theoretical perspective on technology adoption and use behavior via cognitive age, which is a significant and important self-related factor that can help predict technology adoption and use behavior.
Purpose
The purpose of this paper is to investigate the differences between adaptive behaviour and innovative behaviour of individuals according to Kirton adaptation-innovation (KAI) model and determine how these differences impact entrepreneurial potential dimensions. Research sample consisted of student population from three countries: Serbia, Bosnia and Herzegovina (EU candidate countries) and Belgium (EU country). Research results will be valuable for the development of entrepreneurship in EU candidate countries. Data were collected from a sample of 1,008 university students from these three countries. KAI inventory, questionnaire on entrepreneurial traits (QET) and the scale of entrepreneurial potential (SEP) were used to obtain data. The canonical discriminant analysis determined differences and structure of differences between the adaptive and innovative persons, described by KAI model and their scores on the dimensions of the entrepreneurial traits model, as well as on entrepreneurial potential model.
Design/methodology/approach
In this study, the first research question concentrates on the existence of differences among students from Bosnia, Serbia and Belgium with regard to the dominant style of problem-solving according to KAI model to determine whether students from EU countries and non-EU countries differ in regard to problem-solving style. Second research question is the existence of differences in the development of entrepreneurial potential by EQT and SEP among student adaptors and student innovators according to KAI model to investigate to what extent the dominant style of solving problem contributes to differences in the development of entrepreneurial potential among students.
Findings
The research has confirmed the existence of significant differences between the adaptors and innovators described by the KAI model in terms of developed characteristics of entrepreneurial potential in the student population. Results of the research prove that young innovators possess to a greater extent developed key characteristics important for entrepreneurship, as well as intellectual and organizational skills, motivational factors and social capacity, self-confidence and constitutional factors. This research also revealed key differences among students with regard to the country of origin.
Practical implications
The practical implications of the research are reflected in the creation of the initial guidelines and structural support for the promotion of entrepreneurial potential in young people, where it can be concluded that it is particularly important to encourage innovation and creative approach to problem-solving, but also awareness of young individuals and development of their knowledge of entrepreneurship.
Originality/value
The main objective of this research was the examination of differences between students who belong to the category of adaptors and students innovators according to the KAI model (Kirton, 1976, 1998, 2003), with regard to the researched dimensions of entrepreneurial potential, to explicitly as possible identify differences in personal characteristics of young people who are predisposed for entrepreneurship and those who are not. Young innovators and adaptors significantly differ according to the researched dimensions of the EQT and SEP models of entrepreneurial potential and young innovators possess more developed entrepreneurial potential than adaptors.
This study advances the understanding of the process by which students accept and use e-learning environments. This is a key aspect in studying the online behaviour of students, as it directly influences their conduct in their capacity as users of learning products. To address the lack of empirical data on the adoption of this type of learning environment, we present and validate a model of the phenomenon. The study considers the utilitarian aspects included in the technology acceptance model (TAM) and also an aspect of intrinsic motivation for an individual, flow, to enhancing the explanatory power of the models presented.
Based on a sample of 2,574 students, structural equation modelling is used to test the model. We identify the effect of flow on perceived ease of use, perceived usefulness and on the actual usage of the e-learning environment, demonstrating the importance of this factor as a complement to the components of the TAM.
With rapid improvements in communication technologies and infrastructure, the Internet of Things (IoT) has become a promising sector within the global information and communication technology (ICT) industry. Various fields are employing the concept of IoT for their traditional products and services for convenient use by consumers. In the construction industry, the majority of leading companies and organizations are using IoT technologies in a smart home environment. However, only few studies have focused on the user experience of IoT technologies in such an environment. Thus, the current study explores the key determinants of user acceptance of IoT technologies in a smart home environment, and investigates a research model integrated with five potential user factors and a technology acceptance model. The results of the collected data, which were investigated using a structural equation modeling (SEM) method, show that three positive motivations, compatibility, connectedness, and control, and a negative hindrance, cost, are significant determinants of the technology acceptance behavior of users. The current study can serve as a foundation for future studies on improving IoT technologies in a smart home environment by considering the user experience.
Cette étude consiste à mener une enquête pour identifier les facteurs déterminants à considérer lorsqu’une autorité publique essaie d’appliquer une prise de décision participative dans le processus d’élaboration des politiques. Notamment, le système du jury des citoyens expérimenté dans la ville métropolitaine de Ulsan constitue ici le champ empirique de l’observation qualitative. Le système de jury des citoyens, adopté pour résoudre le conflit local de longue durée émis avec le projet de traitement des déchets alimentaires et de recyclage que le District Nord d’Ulsan a établi au début des années 2000, est l’un des outils de gestion de conflits réussis. Néanmoins, ce cas de règlement des conflits avec succès s’avère également un cas d’échec de la politique, car l’usine de traitement des déchets alimentaires a été fermée seulement deux ans et quatre mois après son opérationnalisation. C’est en fait un cas illustratif qui montre que la gestion réussie des conflits n’entraîne pas nécessairement une mise en œuvre réussie des politiques. En conclusion, cette étude suggère une liste de contrôle de dix-huit variables à considérer pour une mise en œuvre réussie de la prise de décision participative et ceci, en trois étapes : étape de la communication initiale, de la conception alternative et de la construction de consensus.
Location-based services (LBS) provide new opportunities for consumer convenience, just-in-time access to information, and services based upon the context of one’s location. Using a hotel/resort industry context, this study examines the impacts of LBS usage motivations on customers’ intentions and the moderating effects of age, gender, and experience on the relationships between motivations and intentions. Confirmatory factor analysis and structural equation modeling were used to analyze data collected from 398 hotel/resort customers owning smartphones. The results reveal the importance of utilitarian and social values in a customer’s adoption of LBS. This study provides practical significance to hospitality operators looking to deploy this type of technology to enhance the guest experience and revenue generating opportunities.
I find that a firm's innovation output increases with the number of collaborative linkages maintained by it, the number of structural holes it spans, and the number of partners of its partners. However, innovation is negatively related to the interaction between spanning many structural holes and having partners with many partners.
The Internet of Things (IoT) is emerging as a significant development in information technology, with the potential to increase convenience and efficiency in daily life. While the number of IoT service users has increased dramatically, little is understood about what motivates the continued use of such services. The primary objective of this study is to develop and refine a conceptual framework from the perspective of network externalities and privacy to provide a theoretical understanding of the motivations that drive continued use of IoT services. The proposed model was empirically evaluated using survey data collected from 508 users concerning their perceptions of IoT services. The results indicate network externalities play a significant role in influencing consumers' perception of usage benefits and thus adoption, whereas privacy concerns have a relatively weak effect on adoption. Implications for IS researchers and practice are discussed.