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Perceived usefulness, perceived ease, and user acceptance of information technology
... A mixed-method approach was adopted to accomplish the set-out objectives. Davis's (1989) Technology Acceptance Model was utilized to explore the elements that influenced ESL undergraduate students' decisions to accept or reject AI language learning technology. An online questionnaire was administered to 67 randomly selected ESL undergraduate students in order to gather numerical (quantitative) data. ...
... The present investigation has employed Davis's (1989) Technology Acceptance Model (TAM) as a theoretical framework to investigate the factors that led ESL undergraduate students to embrace or reject AI technology for learning a language. Davis (1989) developed the TAM model to look into the factors that affect people's adoption or rejection of information technology. ...
... The present investigation has employed Davis's (1989) Technology Acceptance Model (TAM) as a theoretical framework to investigate the factors that led ESL undergraduate students to embrace or reject AI technology for learning a language. Davis (1989) developed the TAM model to look into the factors that affect people's adoption or rejection of information technology. Perceived Usefulness (PE) and Perceived Ease of Use (PEOU), according to Davis (1989), are the two characteristics or aspects that influence a user's purposeful action to adopt the technology. ...
Aim of the Study: The purpose of the study was to explore the efficacy of artificial intelligence-powered tools in the learning of English as a second language at undergraduate level in Pakistan. Methodology: A mixed-method approach was adopted to accomplish the set-out objectives. Davis’s (1989) Technology Acceptance Model was utilized to explore the elements that influenced ESL undergraduate students' decisions to accept or reject AI language learning technology. An online questionnaire was administered to 67 randomly selected ESL undergraduate students in order to gather numerical (quantitative) data. Semi-structured interviews were done with 12 ESL respondents who were purposefully chosen to get qualitative data. In terms of data analysis, SPSS version 27 was used to analyze the numerical data. Findings: The results of the study showed that AI tools such as Grammarly, Duolingo, ChatGPT, Quillbot, and ELSA were used by the participants and improved their English language skills (speaking, writing, reading, and listening). The study's results also indicate that ESL students had positive opinions about using AI tools to learn English. Finally, the study identified the difficulties that ESL students had to overcome, such as contextualization problems, internet connectivity problems, a lack of human interaction, and technological limitations. Furthermore, the results derived from the open-ended questions in the semi-structured interviews were interpreted using Braun and Clarke's (2006) theme analysis approach. Five themes were generated: AI enhance/improve English language proficiency, immediate feedback and suggestions, customized learning, engaging and effective learning, and accuracy issues. Conclusion: The study's findings demonstrated that factors like the usefulness of AI tools, their ease of use, and their capacity to function anywhere, at any time, influenced students' acceptance of AI-powered tools.
... provides a detailed understanding of the various interwoven components of innovation within and surrounding the university setting. The Technology Acceptance Model (TAM), proposed by Davis (1989), is an essential tool for comprehending the adoption and impact of technology in higher education. It identifies the factors that influence technology adoption, as discussed in the study "Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology". ...
... What are the determinants that impact the acceptance and deployment of automation technologies in BOU's instructional and administrative activities, following Davis's (1989) Technology Acceptance Model? ...
... This discrepancy not only emphasizes the accomplishments at BOU but also reveals areas where the model's implementation should be improved, particularly in bolstering collaborations with industry and governmental entities. Automation in education at BOU is in line with the Technology Acceptance Model (TAM) proposed by Davis (1989). This model highlights the importance of perceived simplicity of use and utility in determining the acceptance of technology. ...
This study conducts a thorough analysis of the processes involved in technology transfer, automation, and entrepreneurship at Bangladesh Open University (BOU), using a qualitative research methodology. The study utilizes thematic analysis, supported by NVivo, to extract valuable insights from interviews with 30 important stakeholders, including academics, students, and administrators. The results indicate moderate achievements in the transfer of technology, characterized by difficulties in commercializing university research and developing robust industry connections. Within the field of automation, the study emphasizes the important role it plays in improving access to education, while also acknowledging the difficulties created by limited digital skills and unequal distribution of resources. The expansion of the entrepreneurship ecosystem at BOU is clearly visible, but, it is limited by a requirement for stronger support systems, namely in the areas of mentorship and funding. These qualitative views provide a detailed and subtle viewpoint on how BOU aligns with or deviates from well-known ideas like the Triple Helix Model and Academic Entrepreneurship Theory. They emphasize the distinct problems and opportunities that arise in an open university environment. The study's results make significant contributions to scholarly discussions, highlighting the importance of customized approaches in incorporating technology and fostering entrepreneurial growth in higher education, particularly in the context of developing nations.
... Therefore, the main objective of our research is to evaluate students' academic performance using constructivism theory (Vygotsky, 1978;Carlile, Jordon, and Stack, 2004), communication theory (Walther, 1996;Routledge 2013), and the TAM model (Davis, 1989;Ventatesh and Bala, 2008) in order to address the shortcomings that will arise in these areas and other aspects of higher education in the Malaysian context. ...
... Therefore, the learning process will employ constructivism (Vygotsky et al., 1978) to reaffirm a fundamental idea: learning is an active and constructive activity. Furthermore, the TAM created by Davis (1989) and the Unified Theory of Acceptance and Use of Technology (UTAUT) by Vankatesh and Bala (2008) will be combined in our study. ...
... Perceived usefulness, according to Davis (1989), is the extent to which an individual thinks that utilizing specific systems increases their efficacy at work. Therefore, the degree to which a learner believes using social media would help their academic accomplishment is defined as perceived utility in this study. ...
The purpose of this study was to close the knowledge gaps about how college students’ use of social media impacts their capacity for cooperation and communication. To gather data, 250 university students were given a questionnaire survey on constructivism theory, technology acceptance model, and communication theory. Even though male students were not entirely satisfied with peer contact for collaborative learning, the behavioral intention results of students to use social media for online communication and collaborative learning reveal a beneficial effect on their academic efforts in higher education institutions. As a result, we need to have urged students to use social media for learning through their instructors at universities. Master’s degree students are less in agreement with the performance improvements made by social media. According to the study, social media and cooperative learning enhance student learning activities and enable them to exchange ideas, information, and expertise.
... Banyaknya penelitian yang menggunakan Technology Acceptance Model (TAM) sebagai model dasar dikarenakan kesederhanaan dan kemampuan dalam menjelaskan hubungan sebab akibat (Ayaz & Yanartaş, 2020;Bansah & Darko Agyei, 2022;Alwi & Said, 2023;dan Renaldy & Susilowati, 2024). Tujuan utama TAM adalah memberikan kerangka dasar untuk mencari tahu pengaruh faktor eksternal terhadap kepercayaan, sikap, dan tujuan pengguna (Davis, 1989). TAM menganggap bahwa dua keyakinan individual, yakni persepsi manfaat (perceived usefulness) dan persepsi kemudahan peng-gunaan (perceived ease of use), sebagai faktor utama perilaku dalam menggunakan teknologi. ...
... TAM menganggap bahwa dua keyakinan individual, yakni persepsi manfaat (perceived usefulness) dan persepsi kemudahan peng-gunaan (perceived ease of use), sebagai faktor utama perilaku dalam menggunakan teknologi. Pada penelitian ini menggunakan TAM sebagai model dasar, namun variabel perilaku niat untuk menggu-nakan (behavioral intention) dan sikap (attitude toward using) dan ukuran-ukuran penggunaan sesung-guhnya (Actual Use) yang tersedia (Davis, 1989;Davis, 1993;Davis, Bagozzi, Warshaw, 1989;Lah et al., 2020 ...
... Berdasarkan kerangka konseptual penelitian dan pemetaan teori yang dijelaskan sebelumnya, dapat dihasilkan indikator-indikator variabel. Indikator-indikator variabel diadopsi dari Davis (1989), serta beberapa modifikasi atas indikator tersebut sehingga operasional variabel disajikan pada tabel 1. ...
The purpose of this research is to explain and analyze E-Catalog Adoption in Banjar Regency UMKM using the Technology Acceptance Model (TAM) which consists of exogenous variables namely Perceived Usefulness, Perceived Ease of Use and endogenous variables namely Attitude Toward Using, Behavioral Intention and Actual Use. The respondents in this study were 341 UMKM registered in the Banjar Regency E- Catalog This research uses the SEM (Structural Equation Model) analysis method using Partial Least Square (PLS). The results of this research show that 4 hypotheses are accepted, namely the Perceived usefulness variable has a significant effect on Attitude Toward Using, Perceived Ease of Use has a positive and significant effect on Attitude Toward Using, Perceived Ease of Use has a positive and significant effect on Behavioral Intention, and Behavioral Intention has a positive and significant effect. significant to Actual Usage. Meanwhile, there were 2 hypotheses that were rejected, namely Perceived Usefulness had no significant effect on Behavioral Intention and Attitude Toward Using had no significant effect on Behavioral Intention of the Banjar Regency UMKM E-Catalog.
... The Technology Acceptance Model (TAM) [20] is one of the models that researchers use most frequently when looking at how people use technology. TAM proposed that attitudes toward embracing new technology may be predicted using both perceived utility and perceived ease of use, which directly influences behavioral intention to utilize the real system [20] [21]. ...
... The Technology Acceptance Model (TAM) [20] is one of the models that researchers use most frequently when looking at how people use technology. TAM proposed that attitudes toward embracing new technology may be predicted using both perceived utility and perceived ease of use, which directly influences behavioral intention to utilize the real system [20] [21]. Based on previous research, the researcher will utilize TAM as the fundamental model and expand it by incorporating other factors they believe are crucial for understanding Internet banking among Sri Lankan undergraduate students. ...
... These two components, in the opinion of the TAM, are crucial for the adoption of any new information system. PEOU refers to the user's expectation that an information system will be easy to use, according to [20]. In other words, if someone can quickly discover the IS, they are more likely to use it. ...
This study's goal is to develop and experimentally evaluate a model that pinpoints The Factors Impacting South Eastern University of Sri Lanka Staff's Use of Online Banking. Perceived Trust (PT) was chosen from the literature since it seemed to be more contextual, while Perceived Usefulness (PU) and Perceived Ease of Use (PEOU) were based on the well-known Technology Acceptance Model (TAM). A quantitative investigation based on a survey using questionnaires was used. The total population of the study was 250 and the sample was taken as 152 based on the Morgan table. All 152 responses were received completely. The data collected perfectly fit the model proposed, and the structural model supported that PU, PEOU, and PT, while TAM factors are known to affect behavior-related intentions to use any technology, have been empirically proven to affect behavior-related intentions to use online banking services in the Sri Lankan context. When building mobile banking apps for consumers, banks should consider features that users can easily recognize and utilize. The South Eastern University of Sri Lanka's academic personnel was the focus of the study, although it might also have included non-academic workers. Future research may also concentrate on other university researchers. The research study concluded that independent variables have a strong significant positive relationship with behavior intention to use mobile banking (R = 0.876, R-Square = 0.724). This research study gives the banking industries in-depth information on the efficient usage of electronic mobile banking applications and the strategies to draw potential consumers for their multipurpose use.
... The model identifies key advantages students perceive in using ChatGPT for their schoolwork. Furthermore, we situate these findings within the framework of the Technology Acceptance Model (TAM) (Davis 1989), a widely used framework that explain how users come to adopt and engage with new technologies. By combining the 4I Model with TAM, we aim to provide deeper insights into the factors that influence teenagers' acceptance of AIbased textual generators, highlighting the perceived benefits of ChatGPT among students. ...
... To analyze the factors influencing teenagers' acceptance of ChatGPT, we apply the Technology Acceptance Model (TAM), originally developed by Davis (1989). TAM posits that two main factors influence users' acceptance of new technologies: ...
... The TAM model suggests that "perceived usefulness" and "perceived ease of use" are key factors driving technology acceptance, both shaped by external variables (Davis 1989). Figure 2 illustrates an extended TAM framework that integrates the key benefits of ChatGPT as perceived by teenagers: ...
The introduction of ChatGPT has provided students with a tool similar to a fairy-tale djinn, giving the ability to simplify homework and projects with just a few keystrokes. This study examines teenagers' perspectives on using ChatGPT for homework, exploring both the perceived benefits and concerns. Based on content analysis of responses from 141 teenagers aged 14 to 16 from grammar schools across various federal regions in Germany, we introduce the 4I Model of Benefits, identifying four key advantages: Information, Inspiration, Improvement, and Immediacy. Integrated within the Technology Acceptance Model (TAM) framework, this model clarifies factors influencing teenagers’ acceptance of AI text generators in education. Findings indicate that, while most teenagers recognize the distinct benefits of using ChatGPT, concerns about learning efficacy and over-reliance underscore the need for balanced educational integration. By enriching the TAM framework, the 4I Model identifies the specific benefits of ChatGPT that drive its acceptance and provides valuable insights for educators, policymakers, and developers.
... The Technology Acceptance Model (TAM) is a widely used theoretical framework in the evaluation of technology adoption and use, including XR technologies. TAM is an adaptation of the theory of motivated action (TRA) to the field of information systems (Davis, 1989). TAM posits that user acceptance and adoption of technology are determined by two primary factors: perceived usefulness (PU) and perceived ease of use (PEOU). ...
... • Perceived Ease of Use (PEOU) refers to the degree to which a user perceives that using XR technologies will be free of effort or complexity. Davis et al., 1989) The direct relationship between perceived usefulness and intention shows that people form their behavioral intentions to use based on their cognitive appraisal of how using the system will contribute to improving their performance. According to TAM, users are more likely to accept and use XR technologies if they perceive them to be useful and easy to use. ...
... For example, (Davis, 1989) originally proposed TAM to explain user acceptance of information technology and has been adapted and applied to study user acceptance of technology applications in different contexts. Recent studies also applied TAM to assess the acceptance of VR in educational settings, finding significant correlations between perceived ease of use, perceived usefulness, and user acceptance (Huang et al., 2016). ...
... In the course of the research numerous frameworks and models that have been conceived to study the user adoption of emergent technologies and researching the factors that influence this acceptance, were mapped. These include the Technology Acceptance Model (Davis 1989), Theory of Planned Behavior (Ajzen 1985), Diffusion of Innovation theory (Rogers 2003), the Theory of Reasoned Action (Fishbein and Ajzen 1975), to name some. These and other similar frameworks form the backbone of numerous studies on technology acceptance, while other research combines previous models or introduces new constructs to expand upon the existing frameworks (Taherdoost 2018). ...
... One popular model that considers relevant factors in technology adoption is the Technology Acceptance Model (TAM), which suggests that perceived usefulness and ease of use play a significant role in the adoption of a technology (Davis 1989). It is widely used to understand and explain the use of information technologies in different contexts (King and He 2006). ...
This paper addresses critical questions surrounding the security of government-issued identity documents and their potential misuse, with an emphasis on understanding the perspectives of ordinary citizens across Europe and the United States of America. Drawing upon research on technology acceptance and diffusion, the research focuses on understanding the factors that influence users' adoption of novel identity management solutions. Our methodology includes a comprehensive, census-representative survey spanning citizens from France, Germany, Italy, Spain, the United Kingdom, and the USA. The paper's findings underscore a robust confidence in government-issued identity documents, contrasted by a lower trust in private sector services, including social media platforms and email accounts. The adoption of artificial intelligence for identity verification remains contested, with a significant percentage of respondents undecided, indicating a need for explicit explanation and transparency about its implementation and related risks. Public sentiment leans towards acceptance of government data collection for identification purposes; however, the sharing of this data with private entities elicits more apprehension.
... The factors influencing physicians' willingness to use electronic medical records (EMRs) and their satisfaction with these systems are complex. This study employs the Technology Acceptance Model (TAM) (Davis (1989)) as a framework to establish a model of factors affecting physicians' intentions to use EMRs, drawing from both theoretical and practical perspectives in the context of specific medical practice issues within the hierarchical diagnosis and treatment system. Initially, a comprehensive review of the theoretical literature regarding the implementation background and policy objectives of the hierarchical diagnosis and treatment system was conducted. ...
... Perceived Ease of Use directly affects Perceived Usefulness, while exogenous variables within specific application contexts also significantly impact both Perceived Usefulness and Perceived Ease of Use. By considering external environmental factors, one can gain a deeper understanding of the motivations and willingness of users to engage with the system (Davis (1989); Sun et al. (2007)). The hierarchical diagnosis and treatment system promotes the adoption of electronic medical records (EMRs), which offer numerous advantages over paper-based records, thereby reducing the reliance on physical documents (Xu et al. (2022)). ...
In order to promote the practice of the hierarchical diagnosis system in China, We looked into electronic medical record-the important information carrier of patient health data. Based on literature reading and pre-investigation, a model of influencing factors of doctors’ willingness to use and share electronic medical records under the background of the implementation of the hierarchical diagnosis and treatment system was constructed. The questionnaire was designed with the traditional model and the questionnaire data were collected. The structural equation model was used to test the constructed model. The results show that the perceived usefulness of electronic medical records has the most significant impact on the willingness to share. Perceived ease of use and privacy protection of patient information have significant effects on sharing intention. In the future, the construction of electronic medical record system should be based on improving its use value and considering its convenience.
... One such framework is the Technology Acceptance Model (TAM). The original TAM focuses on the perceived usefulness and perceived ease of use of new technologies (Davis 1989), where acceptance is defined by the degree to which people "intend to use or continue to use the new technology" (c.f. Lu et al. 2023: 9749). ...
... The changes brought about by the introduction of neural machine translation resulted in feelings of uncertainty among many professional translators. The acceptance of technological innovations within different fields has been studied for a long time (Davis 1989), but there is a growing body of literature that focuses on translators' perception and acceptance of automated translation (Nunes Vieira 2020, Pym-Torres-Simón 2021, Salmi 2021). In our paper, we examined the comment threads under two posts from the Facebook group of Hungarian professional translators. ...
With artificial intelligence and deep learning gaining ground, the last few years have seen an unprecedented development in Machine Translation (MT). Deep learning, neural machine translation, and large language models have opened up horizons that many did not think possible. This era of automated translation has led to a restructuring of the profession of translation and the processes carried out by human translators in target-language text production. Technological advances in some languages make the role of translator seem obsolete, and many have expressed concerns about their livelihoods. Our paper discusses the attitudes and opinions of Hungarian professional translators regarding the development of automated translation. We focused our research on a Hungarian Facebook group, an online platform for professional translators, where they can ask for help and discuss aspects of their work. We show that many Hungarian professionals express reservations about MT replacing human translators, arguing that Hungarian is a “small” language that is “very different” (mostly from a structural point of view) from the “big” languages that MT targets.
... Tracing the origin of TAM, Masrom (2007) claimed that the theoretical framework was developed by Fred Davis in 1989. However, the Theory was primarily hinged on the Theory of reasoned action (TRA). ...
... Perceived Usefulness (PU) As stated before, users understand that using a particular technology will enhance their performance or productivity, and this is made possible by external variables. In the words of Davis (1989), PU is an essential factor that determines whether users can accept or reject new technology. In order words, there is a tendency to accept a technology if the user perceives that it can facilitate the accomplishment of a specific goal. ...
The presence of technology in the domain of language education has proven to provide language learners with a plethora of opportunities to learn any language with ease. Language learners now use the technology of their choice to improve certain language skills. On the other hand, there are differences in the way male and female language learners use these technologies to achieve their required language learning goals. In this case, male language learners may choose a particular technology in language learning based on certain factors. This also applies to their female counterpart. The focus of this research anchors on analyzing this postulation in order to bring to the limelight the relevance of gender variation in technology adaptation in language education. Precisely, the objective of this research is to analyze the relationship between gender variation and technology adaptation in language learning among foreign language undergraduates. In the paper, a quantitative research methodology was adopted, wherein the research data were collated from a total number of three-hundred and ninety-four (394) foreign language undergraduates to achieve the objective of this research. However, relevant statistical measures such as CFA, descriptive statistics, and Pearson correlation were used to conduct proper analysis for the research. The results of the statistical analysis and the Pearson correlation test emphasize the critical role of gender in determining technology adaptation in language learning. Gender variation influences language learners’ acceptance (mean score =4.10), use of technology (mean score = 3.50), and perceptions of the effectiveness of technology (mean score =2.80). Meanwhile, the research concludes that gender variation influences language users’ acceptance of technology. However, when they accept it, there is a high tendency to use this technology in their language learning process and develop a positive perception of such technology.
... Technology Acceptance Model Survey (Appendix 5) [14]: An 11-item questionnaire was used to assess participants' perception of RH using a 5-point Likert scale that gauged the capacity of the system to ease workflow, productivity, efficiency and efficacy as well as its resourcefulness, interactivity, ease of use, operability, and flexibility. ...
... The pre-assessment Technology Readiness Index showed high optimism that technology adds "control, freedom, and productivity." The post-assessment revised Technology Acceptance Model to assess "perceived usefulness" and "ease of use" was a good fit for our study because of its relevance to radiology and information delivery [14]. One of the most meaningful measures is a positive mindset that technology will improve their efficiency and productivity and that the technology will be convenient, and easy to access and control. ...
Background
Using artificial intelligence (AI) to augment knowledge is key to establishing precision education in modern radiology training. Our department has developed a novel AI-derived knowledge recommender, the first reported precision education program in radiology, RADHawk (RH), that augments the training of radiology residents and fellows by pushing personalized and relevant educational content in real-time and in context with the case being interpreted.
Purpose
To assess the impact on trainees of an AI-based knowledge recommender compared to traditional knowledge sourcing for radiology reporting through reporting time, quality, cognitive load, and learning experiences.
Materials and methods
A mixed methods prospective study allocated trainees to intervention and control groups, working with and without access to RH, respectively. Validated questionnaires and observed and graded simulated picture archiving and communication system (PACS)-based reporting at the start and end of a month’s rotation assessed technology acceptance, case report quality, case report time and sourcing time, cognitive load, and attitudes toward modified learning strategies. Non-parametric regression analyses and Mann–Whitney tests were used to compare outcomes between groups, with significance set at P<0.05.
Results
The intervention group (n=28) demonstrated a statistically significant reduction in the case report time by -162 s per case (95%CI -275.76 s to -52.40 s) (P-value = 0.002) and an increase of 14% (95%CI 8.1–19.8%) (P-value <0.001) in accuracy scores compared to the control group (n=29) at the end of the rotation. The intervention group also showed lower levels of mental demand (P=0.030) and experienced less effort (P=0.030) and frustration (P=0.030) while reporting. Additionally, >78% of the intervention group gave positive ratings on RH’s effectiveness, increase in productivity, job usefulness, and ease of use. Eighty-nine percent of participants in the intervention group requested access to RH for their next rotation.
Conclusion
This study demonstrates that RH, as the first reported AI-derived knowledge recommender for radiology education, significantly reduces reporting time and improves reporting accuracy while reducing overall workload and mental demand for radiology trainees. The high acceptance among trainees suggests its potential for supporting self-directed learning. Further testing of a larger external cohort will support more widespread implementation of RH for precision education.
Graphical Abstract
... In addressing technology adoption issues, the TAM is often used as a theoretical framework to explain user behavior in accepting and using technology. The TAM model highlights two main variables, namely PE and PU, which play an essential role in determining INT to adopt new technology (Al-Fahim et al., 2024;Davis, 1989;Song and Jo, 2023). TAM explains why most MSME players are still reluctant to adopt cloud accounting, even though the cloud offers significant benefits. ...
... PU refers to an individual's opinion toward technology can improve performance effectively and efficiently (Davis, 1989). PU is defined as the level of trust of SMEs in cloud accounting that can improve the overall performance of MSMEs. ...
The adoption of cloud accounting technology among micro, small, and medium enterprises (MSMEs) is becoming increasingly vital for enhancing corporate efficiency and sustainability. However, the adoption rate requires enhancement due to several obstacles, including insufficient digital literacy (DLC) and technological complexity (CX). This study aims to identify the factors influencing the adoption of cloud accounting in MSMEs using TAM framework. This research encompassed 307 participants from MSMEs in Indonesia, with data gathered via surveys and analyzed with the Structural Equation Model—Partial Least Squares (SEM-PLS). DLC and compatibility (CO) substantially affect the perceived ease of use (PE) and usefulness (PU) of cloud accounting technology. Meanwhile, relative advantage (RA) positively impacts PE but does not significantly influence PU. CX greatly influenced users’ intention (INT) to embrace cloud accounting. These findings highlights the crucial role of TAM and indicate that enhancing DLC and CO alongside current business practices is essential to promoting technology adoption. This study provides practical recommendations for policymakers and technology providers to improve the use of digital technologies among MSMEs.
... The Technology Acceptance Model (TAM), developed by Fred Davis in 1986, provides a fundamental framework for understanding how users come to accept and use technology. The model posits that technology acceptance is primarily influenced by two factors: perceived ease of use and perceived usefulness (Davis, 1989). Perceived ease of use refers to the degree to which a person believes that using the technology will be free of effort, while perceived usefulness pertains to the belief that the technology will enhance job performance or deliver other significant benefits. ...
... The questionnaire comprised 20 questions, using a 5-point Likert scale as recommended by Sekaran (2003). The items for this research questionnaire were adapted from previous literature, including perceived risk (Qi & Ploeger, 2001), social media usefulness (Davis, 1989), emotional attachment (Qi & Ploeger, 2001;Tommasetti et al., 2018), perceived behavioral control (Taylor & Todd, 1995), and e-commerce intention (Cheng et al., 2006). This structured approach ensured comprehensive data collection, providing robust insights into the factors determining e-commerce intentions among the respondents. ...
... With the government providing a mix of funding, policy, and political cover, private firms can invest in and supply the necessary technological backbone for the hub to function. For the vision of the hub to be realized in a functional way, working together with NGOs and community organizers is extremely important (Davis, 1989). ...
... The successful deployment of these systems aligns well with the Technology Acceptance Model (TAM). The model's foundation is built on two constructs: perceived ease of use and perceived usefulness (Davis, 1989). Focusing first on the former, we see that farmers are much more likely to adopt technologies that they find easy to use. ...
Aims: This paper puts forth the idea of MaizeConnect—a business model centred on information and communication technology (ICT) to improve a lot of rural maize farmers in Bangladesh when it comes to accessing markets. Methodology: The research was conducted in the char areas of Jamalpur District, where the Making Markets Work for the Chars (M4C) project is being implemented. The research undertakes a mixed-methods approach of desk reviews, stakeholder consultations, and SWOT analysis to understand the model's viability and impact. A situation analysis was conducted in the selected research sites to understand the current marketing practices, identify gaps, and determine the specific needs of marginal farmers. Results: An innovative e-marketing model has been developed for ensuring better access to smallholders in Bangladesh. This model not only seeks to give farmers direct access to buyers but also aims to tackle the problem of postharvest maize losses. The rural farmers are mostly poor, producing maize on a small scale. They don't have much power to negotiate, which makes their situation look pretty grim. MaizeConnect focuses on transforming the maize sector by providing easy-to-use technology, with three main benefits: price stabilization, market connectivity, and payment system inclusion. The model relies on collaboration between government, NGOs, and the private sector, with continuous support essential for sustained impact. Conclusion: There is a unique opportunity to transform the rural agricultural landscape in Bangladesh through ICT integration in the maize value chain—specifically in improving market access and storage solutions. The MaizeConnect model can overcome key challenges including post-harvest losses, market inefficiencies, and the integration of smallholder farmers into a more profitable value chain.
... Growing up in a digitally connected environment, these generations have developed a strong desire for seamless and intuitive experiences when interacting with technology. Davis (1989) identifies key indicators for measuring perceived ease of use, including ease of learning, controllability, clarity, and flexibility. These indicators play a crucial role in shaping the perceptions of Generations Y and Z toward technology. ...
... Yo et al. (2021) have identified a robust correlation between perceived convenience and customer satisfaction. According to Davis (1989), perceived convenience refers to the ease with which individuals can engage in activities using technology, which plays a significant role in the success of mobile commerce. Users are likely to switch products or services if they perceive a gap between their expectations of convenience and the actual experience, which can potentially lead to decreased satisfaction. ...
Financial technology, or FinTech, is revolutionizing banking worldwide by introducing innovative services. However, clients' comprehension and willingness to embrace or adapt to new technologies remain uncertain. As FinTech continues to disrupt traditional banking procedures, it is critical to investigate how these innovations affect Generation Y and Z's perceptions of service satisfaction. As a result, the objective of this study is to determine the major characteristics that impact client satisfaction and trust in the use of FinTech-based services. Data from 250 respondents who use FinTech services show that User Trust and User Satisfaction are important for them when adopting FinTech. The results indicate that security, privacy, ease of use, and convenience are the key factors positively influencing user trust and satisfaction in FinTech services, with a reciprocal relationship between trust and satisfaction. This symbiotic relationship highlights the importance for FinTech companies to prioritize both customer satisfaction and trust-building initiatives to foster long-term relationships with their users
... The TAM is a widely used theoretical framework in the field of information and technology adoption, healthcare, education and e-commerce and according to Sagnier et al. (2020), it has been propounded by Davis (1989) who note that the Technology acceptance model seeks to explain and predict the factors influencing individuals and corporate's acceptance to new technologies. Al-Adwan et al. (2023) concur adding that the TAM suggests that perceived usefulness and perceived ease to use are the key fundamental factors of the user's genuine intention to adopt a particular new technology which turn affects people actual usage. ...
... Scholars continue to expand the model to address these limitations. For instance, in their research, Venkatesh and Davis (2000), the authors extended the TAM propounded by Davis (1989) by incorporating cognitive instrumental process, social influence resulting in the unified theory of acceptance and use of technology (UTAUT). Donmez-Turan (2020) hold a view that the social and organisational fundamental factors that can potentially impact technology acceptance beyond individual perceptions. ...
The main aim of this paper was to critically analyse the merits, demerits, of digital realities in blended learning in accounting and auditing education. This paper adopted qualitative research method which based on content analysis of existing literature performed. This article used a selective bibliography of articles published between 2019 and 2023. A total of 34 articles were selected for this research study from 486 identified through database searches. Preferred Reporting items for Systematic Reviews and Meta-Analysis (PRISMA). Data gathered was entirely analysed and presented using themes. The study's findings revealed potential boundaries and limitations as well as potential advantages of digital realities in enhancing accounting and auditing education. We argue for a different educational ecology which provide a robust mixed reality educational framework to enhance blended approach to learning sustainability of accounting and auditing education in digital world. This study contributed the current body of knowledge by providing valuable insights into challenges and opportunities of accounting and auditing education in the metaverse world for educators, students , academia and policymakers. This study offers a dialectical vision for revolutionalising accounting and auditing education.
... The Technology Acceptance Model (TAM), introduced by Davis (1989), outlines the factors influencing technology utilization and visitor attitudes, emphasizing attention to informative purposes and benefits. Harb et al. (2019) integrate the Theory of Planned Behavior (TPB) to explore self-tourism behavior and individual values in social encounters. ...
Keywords: Social media, Technology Acceptance Model (TAM), Theory of Planned Behavior (TPB), travel planning. The tourism industry is significantly influenced by social media, as it serves as a primary resource for travelers to seek information about various places. This study has been conducted to examine the interrelationships among factors that impact individuals' willingness to use social media platforms for trip planning and the desire to engage in travel activities. The current investigation incorporates the theoretical frameworks of the Theory of Planned Behavior (TPB) and the Technology Acceptance Model (TAM), while also examining the impact of travel-related material on social media platforms such as Facebook, YouTube, and Instagram. The study used a sample of 388 domestic tourists who were active users of social media platforms. The findings of the study indicate that the components of TAM, specifically perceived usefulness and perceived ease of use in the context of social networks has a favorable impact on individuals' intention to engage in the social media's platform and their desire to visit destination. In addition, the aspects of TPB, specifically the attitude and perceived behavioral control, demonstrate a substantial impact on behavioral intention. The findings indicate that there is a direct and positive relationship of Instagram and YouTube travel content towards behavioral intention. While, there is no significant influence of subjective norms and Facebook's travel content on behavioral intention. This study suggests that Destination Marketing Organizations (DMOs) can enhance their marketing strategies by leveraging social media platforms, influencer marketing, and user-generated content to attract more tourists. ___________________________________________________________________________
... Technology Acceptance Model (TAM) introduced by Davis, (1989), is another widely recognized framework used to explain how individuals come to accept and use technology. TAM suggests that two primary factors drive technology adoption: ...
Objective: This study aims to shed light on the disciplinary penalties as a result of the default violation committed by a public employee while carrying out his job duties and know how the management authority, when supervising administrative work, assesses the severity of the electronic violation for sustainable development goals. Theoretical Framework: There are several designations to indicate the act committed by the public employee while carrying out his work electronically that makes him subject to punishment, such as the term disciplinary error, disciplinary crime, disciplinary guilt, etc. Method: The use of the descriptive approach and the analytical and comparative approach in this study. Results and Discussion: This study found principles governing violations and electronic disciplinary sanctions are the same as those found in their traditional counterparts, including the legality of disciplinary sanctions, the principle of proportionality between them, and others. Also, the assessment of the electronic administrative violation is carried out through the discretionary power of the disciplinary administrative authority, similar to that of traditional violations. Research Implications: The presence of the term “electronic administration" would cause the public employee to practice his work electronically, and this may result in the occurrence of a specific act of that employee that may affect his job duties. Originality/Value: The commission of a public employee for an electronic violation leads to imposing a penalty on him to deter him and prevent him from returning to committing it. That punishment affects his job position and may lead to the imposition of the maximum penalty, which is dismissal if the violation is of a high degree of seriousness or gravity.
... In this context, Moore & Benbasat [9] proposed constructs of information technology adoption to measure end-user acceptance of IT innovations that companies invest in. In contrast to the concept of the Technology Acceptance Model (TAM) [18], [19], which tends to analyze technology adoption from the point of view of IT itself, meanwhile, Moore & Benbasat [9] tend to analyze it from the point of view of the user. ...
... To ensure that all participants, regardless of their assigned condition, had a basic understanding of VR technology, we provided a brief introduction to VR's features and potential applications before measuring their intention to use VR. We measured intention to use VR in both conditions using the same two items: (1) "I would consider using virtual reality to plan my next trip if given the opportunity," measured on a 7-point Likert scale (adapted from Davis 1989), and (2) "What device would you prefer to use to organize your upcoming travel, either for business or pleasure?" with the choice between VR and a PC. ...
Despite the promise that virtual reality (VR) technology would be the new media of unprecedented connectedness, our investigation reveals that non‐owners perceive VR as a medium of social isolation, which may hinder its broader acceptance. Drawing on innovation resistance theory, we empirically test the existence of an implicit cognitive association between VR and isolation and then analyze the effects of this bias on VR adoption. Implicit Association Tests (IAT) used in Studies 1a (N = 199) and 1b (N = 200) identify a significant bias, associating VR with isolation. Study 2 (N = 401) further demonstrates the negative association of this bias with the societal image of VR users, potentially deterring willingness to engage with VR technology. Identification and intention to imitate emerge as relevant mediators. Studies 3a (N = 329) and 3b (N = 200) reveal that consumers' perceptions of isolation decrease when VR users are shown interacting with other people in real life (physical presence) but not when they are interacting through the VR platform (virtual presence). This research contributes to the understanding of innovation resistance and VR adoption by underscoring the importance of confronting and reshaping subconscious stereotypes about VR and its users.
... Also taken for granted is that intention to use typically precedes actual use. Similarly for impacts of social influence, facilitating conditions, user education, experience, voluntariness of use, priceperformance, and other variables emphasized in widely cited theories and models related to adoption and use, such as TAM (Davis, 1989), the IS success model (Factors related to those topics are not unique to adoption and use of IT. Some of those factors applied when the Luddites smashed automated machinery for textile production in 1811 (Jones, 2013) because automation threatened their jobs and livelihoods. ...
This conceptual contribution explains an integrated approach for describing and analyzing adoption and use of IT-based entities that are encountered in today's business enterprises, society, and personal life. Its many concepts and models provide a scaffolding that practitioners and researchers can use at different levels of depth for understanding instances of IT adoption and use. Its integrated treatment of work systems, information systems, and digital agents leads to practical applications and research possibilities that do not flow from quantitative methods that have dominated research in this area. This paper's approach to IT adoption and use is based on the work system perspective. Work systems delegate responsibilities to digital agents, which are algorithmic agents that operate by executing algorithms encoded in software. Numerous capabilities that digital agents may exhibit with different degrees of smartness are identified. An AI-related example illustrates a work system's delegation of responsibilities to digital agents. The adoption of work systems and digital agents is outlined using the work system life cycle model. An agent-responsibility framework reveals many possible uses of digital agents. The framework's horizontal dimension is a spectrum of roles that digital agents may perform. Its vertical dimension is 18 facets of work from prior research. Modes of engagement and patterns of interaction between people and digital agents are discussed. After summarizing this paper's ideas, the conclusion briefly discusses this paper's divergence from much of the literature on IT adoption and use, possible applications by practitioners, and implications for conceptual, case study, and variable-centered research. Keywords: IT adoption and use, work system, digital agents, work system theory, facets of work, modes of engagement with digital agents, patterns of interaction with digital agents
... Individual plans to adopt new technology are defined and examined via the technology acceptance model (TAM) [29]. This study proved that user acceptance of new information technology is influenced by perceived usefulness and simplicity. ...
... TAM difungsikan untuk sistem informasi dalam hal memperkirakan penerimaan dan penggunaan saat pemakai melakukan suatu pekerjaan secara individual (Sontrust Lee, 2018). (Davis, 1989) ...
Kepercayaan, persepsi manfaat dan kemudahan pengunaan m-Banking, yang akan diteliti pengaruhnya terhadap minat nasabah di LPD Legian. Populasi memanfaatkan seluruh nasabah LPD Legian yang telah memakai aplikasi m-Banking dan sampel digunakan sebanyak 78 responden, penarikan sampel dilakukan melalui sampel jenuh. Instrumen penelitian memanfaatkan Software SPSS. Penelitian ini memperoleh bahwa persepsi kepercayaan mempengaruhi secara positif dan signifikan terhadap minat nasabah, lalu manfaat berdampak positif dan secara meyakinkan terhadap minat nasabah, kemudahan pengunaan berdampak positif dan secara meyakinkan terhadap minat nasabah. Variabel persepsi kepercayaan, persepsi manfaat, kemudahan pengunaan memiliki pengaruh sebesar 59,5% terhadap terhadap minat nasabah. Membangun kepercayaan pengguna dapat dengan cara membuat M-Banking sehingga dapat menjamin keamanan uang nasabah. Kemudian LPD Legian hendaknya secara berkala melakukan pembaharuan pada M-Banking agar nantinya selalu memberikan banyak manfaat dan kemudahan bagi pengguna
... Despite these contributions, research on AI-specific contexts, particularly regarding perceived usefulness and perceived ease of use, remains scarce. Perceived usefulness, as defined by Davis (1989), refers to the degree to which a user believes that a particular technology will enhance their performance, while perceived ease of use captures the extent to which users perceive a technology as being free of effort. Both constructs are crucial for understanding user acceptance and adoption of new technologies, as they directly influence attitudes and behaviors. ...
Amidst rapid advancements in artificial intelligence (AI), acquiring AI-related skills has become essential for societal development. Assessing the public’s AI literacy is thus critical for enhancing overall societal competitiveness. This study aimed to develop an evaluation index system for measuring public AI literacy, encompassing five dimensions with 15 specific indicators: application ability, cognitive ability, morality, critical thinking, and self-efficacy. Data were collected through surveys, and quantitative analysis validated the system’s rationality. The constructed AI literacy measurement tool provides a reliable foundation for evaluating core competencies in the AI era, filling a research gap with practical and theoretical significance.
... The health belief model shows that wt has the ability to change people's behavior by making them more aware of their health. The technology acceptance model, on the other hand, shows what factors affect the use of wt among different groups [1,2]. In addition, adding wt fits with ideas that support value-based healthcare, which puts an emphasis on better health results and lower costs [3]. ...
Background: Wearable technology (WT) is transforming personal healthcare by emphasizing preventive care, real-time health monitoring, and individualized health management. WT encompasses devices equipped with sensors capable of tracking physiological parameters such as heart rate, blood glucose levels, and sleep patterns. These technologies are increasingly utilized in chronic disease management and behavioral health modification. Despite its potential, challenges such as data privacy concerns, connectivity issues, and disparities in usage limit its widespread adoption. Aim: This study explores the applications, benefits, and limitations of WT to highlight its transformative impact on personal healthcare and its implications for healthcare systems. Methods: A comprehensive literature review was conducted, synthesizing findings from peer-reviewed articles, clinical trials, and case studies. The review examines WT's influence on health outcomes, its role in chronic disease management, and associated challenges, including data security and system integration. Results: WT demonstrates significant potential to enhance patient outcomes, reduce healthcare costs, and empower individuals in managing their health. Evidence supports its efficacy in monitoring chronic conditions and promoting behavioral changes. However, concerns regarding data accuracy, security, and ethical considerations persist. Conclusion: Wearable technology holds substantial promise for revolutionizing healthcare delivery.
... Scholars have applied established theoretical frameworks, such as the Theory of Planned Behavior (TPB) and Technology Acceptance Model (TAM), to analyze online consumer behavior. These frameworks examine factors like attitudes, perceived usefulness, and ease of use in predicting consumer intentions and behaviors (Davis, 1989;Ajzen, 1991). ...
The purpose of this study is to understand customer behavior in online shopping. The research includes responses from 100 participants, comprising both men and women, selected through convenient sampling. As the internet rapidly becomes a global phenomenon, it is transforming how people shop and purchase goods and services. Many businesses have adopted the internet to reduce their marketing expenses, which in turn lowers the prices of their goods and services. They also use it to sell their products, communicate with customers, obtain feedback, and survey customer satisfaction. Online shopping is one of the many ways consumers use the internet; they also use it to compare product features, prices, and after-sales services provided by different retailers. Specialists remain optimistic about the future of internet business. Consumer behavior in online shopping has become a focal point of research as e-commerce markets evolve. This study reviews literature on online consumer behavior, exploring theoretical frameworks, empirical studies, and regional perspectives. Key themes include factors influencing online purchase decisions, such as convenience, trust, and perceived risk, and the role of cultural differences in shaping consumer attitudes toward e-commerce. Comparative research highlights variations in online shopping behavior across different countries, providing insights into global e-commerce trends. The review emphasizes the importance of understanding the nuances of online consumer behavior for businesses navigating the complex landscape of e-commerce markets and identifies avenues for future research.
... However, managing the integration of these advanced technologies will require adaptive innovation frameworks that account for rapid technological changes and evolving user needs. The TAM model, which emphasizes perceived ease of use and usefulness, will be instrumental in designing user-centric adoption strategies that enhance acceptance and engagement (Davis, 1989 with the principles of DOI theory, which highlights the importance of multi-stakeholder involvement in creating an ecosystem conducive to innovation diffusion (Rogers, 2003). ...
The rapid socioeconomic changes in emerging economies demand integrating educational technologies to improve learning outcomes and prepare students for the globalized economy. The successful adoption of these technologies relies on effective innovation management, which must address challenges such as limited infrastructure and varying technological literacy levels. This research investigates the role of innovation management in facilitating the adoption of educational technologies in emerging economies. It aims to identify strategies to overcome barriers to technology integration in education and analyze their impact on academic outcomes. A mixed-methods approach was employed, combining quantitative data from global databases such as the World Bank's EdStats and UNESCO's Institute for Statistics with qualitative insights from interviews and case studies in selected emerging economies, including India, Kenya, Brazil, and Nigeria. Statistical analyses revealed a positive correlation between the Innovation Support Index and the Educational Technology Adoption Rate. For instance, India and Brazil demonstrated higher adoption rates (78% and 80%, respectively) 2 corresponding to robust innovation support systems. In contrast, countries with lower innovation indices, like Nigeria, showed significantly lower adoption rates (50%). The study concludes that strategic innovation management is critical for driving the successful adoption of educational technologies in emerging economies. It emphasizes the need for policymakers and academic leaders to prioritize the development of innovation support systems to foster a conducive environment for technology integration. Strengthening innovation support systems significantly enhances the adoption of educational technologies, offering a pathway to improved educational equity and economic growth in these regions.
... The Technology Acceptance Model (TAM) [167], developed by Fred Davis, has been a cornerstone in understanding how users adopt and engage with new technologies. The TAM predicts user acceptance by focusing on key factors like perceived usefulness and perceived ease of use. ...
Human engagement is a vital test research area actively explored in cognitive science and user experience studies. The rise of big data and digital technologies brings new opportunities into this field, especially in autonomous systems and smart applications. This article reviews the latest sensors, current advances of estimation methods, and existing domains of application to guide researchers and practitioners to deploy engagement estimators in various use cases from driver drowsiness detection to human–robot interaction (HRI). Over one hundred references were selected, examined, and contrasted in this review. Specifically, this review focuses on accuracy and practicality of use in different scenarios regarding each sensor modality, as well as current opportunities that greater automatic human engagement estimation could unlock. It is highlighted that multimodal sensor fusion and data-driven methods have shown significant promise in enhancing the accuracy and reliability of engagement estimation. Upon compiling the existing literature, this article addresses future research directions, including the need for developing more efficient algorithms for real-time processing, generalization of data-driven approaches, creating adaptive and responsive systems that better cater to individual needs, and promoting user acceptance.
... a. Performance expectancy This is the degree to which a person believes that using a specific system will enhance their job performance (Venkatesh et al., 2003). This is based on the ideas advanced by Davis (1989) and Davis, Bagozzi and Warshaw (1989), which focus on the individual perceiving that engagement in an activity will lead to advantageous gains. In the context of this article, one can argue that the reason SMMEs adopt technology is because there is an expectation of enhanced work productivity and creativity. ...
The digital evolution and the adoption of technology have made it possible for information access and management to improve the social and economic impacts of the tourism sector globally. Technology has undoubtedly become the prime driver of modern e-commerce. This article examines the digital divide as a barrier to the adoption of technology by small, medium, and micro enterprises (SMMEs) in the agribusiness sector in the city of Tshwane, South Africa. The study adopted a quantitative approach and data were collected through a self-administered questionnaire. The data were subsequently analysed by using descriptive statistics. The relationships between variables were compared and interpretations were made. The results showed that a digital divide is hampering the adoption of technology by SMMEs in the agribusiness sector. The results further revealed that the high cost of technology/online platforms, limited funds and a lack of technical know-how are some of the obstacles faced by SMMEs in the adoption of information and communication technologies. However, the study also established that if these obstacles could be addressed, the benefits would be substantial. It is concluded that empirical work is required to investigate the extent to which SMMEs in South Africa are adapting to the challenges posed by the digital divide.
... Business perception, is the cognitive process carried out by the individual in order to understand and interpret the context in which he/she lives, being this oriented to the business environment [9], likewise, Afifah and Mustofa indicated that this variable contemplates the point of view of the business actors on a certain situation, whether it is the incorporation of new tools or technologies in the business sector, or some other fact that is related to their business activities [10]. One of the first theories on business perception was the model proposed by Davis, the Technology Acceptance Model (TAM) [11]. The author proposes, through the study and analysis of the users' intention to use, to measure the perception from the point of view of the collaborators on the use of new technological tools in a business context, as well as the implementation of new systems or processes in the activities developed by the company. ...
... Se observa que, en el factor conductual, la mayoría de los ítems tienen una relación de moderada a fuerte con el mismo (puntuaciones cercanas o superiores a 1). Esto indica que el modelo tiene una estructura coherente, ello a su vez implica que ahora las personas se encuentran involucradas con la IA, independientemente de su conocimiento [28]. ...
... Uma característica importanteé a existência de um banco de questões predefinidas, em que gestores podem explorar e selecionar aquelas que se alinham com seus objetivos de pesquisa. Na etapa de Elaboração, as questões do questionário foram definidas com base no Modelo de Aceitação de Tecnologia (TAM) [Davis 1989]. A Tabela 1 mostra as 19 questões que compõem o questionário, sendo 18 questões objetivas e fechadas divididas em três seções: utilidade, facilidade e pretensão de uso; e uma questão aberta para elogios, críticas e sugestões de melhoria. ...
Pesquisas com egressos são essenciais para a melhoria contínua dos cursos de Instituições de Ensino Superior (IES). Porém, para manter os dados atualizados, exige esforço e tempo de egressos e gestores. O projeto Egress@s idealizou um Sistema de Acompanhamento de Egressos, apresentado neste trabalho por meio de um protótipo de alta fidelidade focado na interação dos gestores. A avaliação conduzida com coordenadores de cursos da Universidade Federal do Pampa (Unipampa) indicou que o sistema facilitaria o trabalho da coordenação de curso no acompanhamento dos egressos.
... Hence, the most relevant and commonly used theory for such studies is the Technology Acceptance Model (TAM) (Mortenson and Vidgen, 2016). TAM was designed to be a framework that adheres to a thrifty approach and can be used to analyse a wide range of technological user behaviours (Davis, 1989). TAM explains the acceptability of information systems by individuals. ...
This paper investigated the use of cloud accounting by SMEs in Zimbabwe. The research used a quantitative approach and simple stratified random sampling techniques, stratifying according to firm size. A total of 132 questionnaires were used to collect data, and SPSS version 22.0 was used for the analysis. The study findings revealed a very low adoption of cloud accounting among SMEs in Zimbabwe. The foremost reasons for the low adoption rate of cloud accounting are a lack of awareness of the usage of cloud accounting, concerns about data security, and cost implications. The study further revealed that lack of training, data migration challenges, technical difficulties, integration issues, and concerns about data accuracy are the challenges faced by SMEs in implementing cloud accounting. The study recommends that SMEs prioritise training and skill development for their staff to build technical expertise in the utilisation of cloud accounting software. Furthermore, as the main stakeholder, the government should launch public awareness campaigns to educate small businesses about the benefits and opportunities of adopting cloud accounting technology.
... We collected feedback using the Technology Acceptance Model (TAM) and the System Usability Scale (SUS) [Davis 1989, Brooke 1996], as shown in Table 1 and Table 6 The data presented is fictitious, as it is part of a tool proposal. 7 For the purposes of reviewing the article, the image of the user using the tool is fictitious. ...
Agile software development and User-Centered Design emphasize aligning with user needs and prioritizing effective feedback collection. Traditional feedback methods, like interviews and questionnaires, often fail to capture user reactions. To address this, we introduce CV4FeC, a tool that integrates OpenCV for analyzing facial expressions and sentiments, offering a comprehensive approach to understanding user communication. CV4FeC combines computer vision and sentiment analysis to provide valuable insights into user reactions. A preliminary evaluation demonstrated its effectiveness in enhancing feedback collection in software development.
... Banyak pegawai yang merasa tidak nyaman dengan sistem baru karena terbiasa menggunakan metode manual atau kurang memahami manfaat teknologi informasi. Menurut Davis (1989), resistensi terhadap perubahan sering kali terjadi karena kurangnya pemahaman tentang nilai tambah teknologi dan persepsi bahwa teknologi baru memperumit pekerjaan. Hal ini dapat menghambat efektivitas implementasi e-Cuti, sehingga membutuhkan pendekatan perubahan yang lebih inklusif. ...
Transformasi digital telah menjadi bagian integral dalam meningkatkan efisiensi dan transparansi di sektor publik, termasuk manajemen kepegawaian. Penelitian ini berfokus pada implementasi aplikasi e-Cuti sebagai inovasi dalam layanan kepegawaian untuk mendukung prinsip-prinsip good governance. Permasalahan utama yang diangkat adalah bagaimana aplikasi e-Cuti berkontribusi terhadap peningkatan akuntabilitas, efisiensi, dan transparansi dalam proses pengajuan cuti pegawai. Metode penelitian yang digunakan adalah pendekatan kualitatif dengan studi kasus pada instansi pemerintahan tertentu, melibatkan wawancara mendalam dengan pegawai dan analisis dokumen terkait. Hasil penelitian menunjukkan bahwa aplikasi e-Cuti berhasil mengurangi waktu pemrosesan cuti, meningkatkan aksesibilitas data kepegawaian, dan memperkuat pengawasan internal. Selain itu, tantangan seperti resistensi terhadap perubahan dan keterbatasan infrastruktur digital masih menjadi kendala yang perlu diatasi. Simpulan dari penelitian ini menegaskan bahwa implementasi e-Cuti tidak hanya mendorong efisiensi operasional, tetapi juga memperkuat prinsip good governance.
... Understanding and managing these dynamics is crucial for successful GenAI acceptance in management consulting, leading to the research question: "What factors influence consultants' acceptance of GenAI?" Several scholars have proposed theoretical models to understand factors influencing technology acceptance (e.g., Compeau et al, 1999;Davis et al, 1992;Harrison et al, 1997). In this context, technology acceptance can be understood as a process where individuals' reactions to technology influence their intention to use it (i.e., behavioral intention), which is a predictor of actual use (Davis, 1989). This study uses the UTAUT by Venkatesh et al (2003) as the theoretical framework because it synthesizes key theoretical models while enhancing the explainability and predictability of technology acceptance. ...
The increasing relevance of Generative Artificial Intelligence (GenAI) in professional services, particularly in management consulting, and its impact on client services and operations raises the question: “What factors influence consultants’ acceptance of GenAI?” This study explores the intricate factors influencing the acceptance of GenAI, specifically focusing on management consulting. Using an adapted version of the Unified Theory of Acceptance and Use of Technology (UTAUT) as the theoretical framework, a mixed-methods approach was employed: Twenty semi-structured interviews and a quantitative survey of 140 consultants reveal insights into consultants’ perceptions and interactions with GenAI. The findings indicate the relevance of performance and effort expectations, social influence, facilitating conditions, and concerns about GenAI’s trustworthiness. Highlighting the complexity of human-technology dynamics, some consultants view GenAI as an opportunity to gain a competitive advantage in their career progression, while others report feeling ashamed when disclosing their use of it. This study broadens the scope of technology acceptance research, introduces specific adaptations and extensions of the theory to better fit the GenAI context, and provides practical managerial recommendations.
... A similar study by Lam and Yang (2019) found age, cruising time and parking frequency to have a significant impact on parking apps usage. Yang et al. (2020) developed a conceptual framework based on the Technology Acceptance Model (Davis 1989) to explain drivers' acceptance of parking apps. Their results demonstrate that perceived usefulness is a primary determinant of acceptance and intention to use. ...
This paper examines factors influencing the adoption of parking apps and explores various app configurations to reduce reliance on traditional parking meters. The study surveyed 304 respondents in Brisbane, Australia. A mixed logit model was estimated to analyze preferences regarding various app characteristics. Results revealed that the introduction of new contactless payment options, real-time parking information, and parking expiry reminders positively influence the uptake and usage of apps. Conversely, service charges were negatively associated with the adoption of mobile payments. Willingness to pay was also evaluated for the most important attributes that influenced uptake. To further explore the impact of different app configurations, this study simulated three distinct payment scenarios, each offering customers the choice between paying through meters or apps. The simulations showed the need to consider customer backgrounds when offering new payment options. For example, the simulations underscore the significance of offering simpler versions of apps to cater to customers with limited technological proficiency or those seeking a more seamless experience. Maintaining a balanced approach between app-based payments and meters is also recommended, as some customers still prefer traditional payment methods. These insights contribute to enhancing the adoption of apps and guide the implementation of smart parking solutions in cities beyond Brisbane.
... In support of this assertion, the questionnaire of this study included two factors suggested by Davis [59] perceived usefulness (PU) and perceived ease of use (PEOU). PU is defined as "the degree to which a person believes that using a particular system would enhance his or her job performance"; while PEOU is defined as "the degree to which a person believes that using a particular system would be free of effort" [60]. ...
Tourism advertising and tourism promotion have over the years been the core functions of tourism departments and major tourist sites. In relation to the progressing development of new media, the mobile short-form videos, which are short, focused, and have an engaging content, appear to be a useful means of advertising tourist destinations. In the digital era, short videos have become a new communication tool between destinations and consumers. This current study, based on the S-O-R model and flow experience, investigated the psychological processes through which TikTok attributes and technology evoke flow and lead to tourists’ behavioral intention. Moreover, the TAM, i.e., PU and PEOU, as two technology factors, as well as three content attributes (entertainment, informativeness, and interactivity) were examined. The study utilized a quantitative approach and collected data from 412 respondents in China. The authors adopted the PLS-SEM method to confirm the directions hypothesized in this model. There are significant effects of PU, PEOU, and entertainment on flow experience (telepresence, time distortion, and focused attention). Interactivity impacts telepresence and time distortion, while informativeness impacts focused attention. Moreover, time distortion and focused attention impact tourists’ behavioral intention. The results highlight several limitations and offer implications for future research as well.
... Research shows that two key factors-technology effectiveness and user-friendliness-are crucial for adopting new technological solutions (Davis, 1989). The Unified Theory of Acceptance and Use of Technology (UTAUT) provides a framework for integrating HRIS) in LGAs to improve the quality and accuracy of outputs. ...
Organizations are increasingly moving from traditional paper files to digital filing systems to gain a competitive edge and improve access to human resources and HR-related information. This digitalization process not only makes data more accessible but also enhances its utilization for HR decision-making. As a result, HR-related information becomes more comprehensive, accurate, and up-to-date. This study specifically investigates the impact of technological factors on the effectiveness of human resource information systems (HRIS) within local government authorities (LGAs) in Tanzania. The research utilized a combination of descriptive and inferential statistics, including ordered logistic regression analysis, to examine the impact of technological characteristics on the effectiveness of Human Resource Information Systems (HRIS). The findings revealed that factors such as compatibility, complexity, usefulness, and reliability play a crucial role in determining the timeliness, comprehensiveness, and accuracy of data retrieval within HRIS. The study offers valuable insights for improving human resource management practices in LGAs) through the adoption of computerized HRIS. The discussed approach enhances decision-making and improves access to information, contributing to the achievement of organizational goals. It also emphasizes the importance of regularly updating systems to keep pace with changing technological landscapes.
... The regression analyses indicate that perceived ease of use may be a causal precursor of usefulness. These findings are significant as they provide validated measures for predicting user acceptance of technology (Davis 1989). Davis and Venkatesh extended the TAM to include additional factors that influence perceived usefulness. ...
The rapid integration of artificial intelligence (AI) into various business sectors is transforming the operational landscape. This paper focuses on small and medium-sized enterprises (SMEs) and examines how they can achieve an optimal psychological balance when using AI. The goal is to encourage employees to adopt AI while maintaining critical thinking and autonomy. This research paper uses theoretical analysis as the research method, drawing on established psychological theories such as the Technology Acceptance Model and the Job Demands-Resources Model. The findings are used to propose a model for determining an optimal balance for SMEs. The analysis reveals several psychological barriers related to anxiety, which can lead to increased stress, lower motivation, and general resistance to the use of AI tools. Conversely, once the fear is overcome, there is a risk of over-reliance on AI. Therefore, it is important to provide training that helps employees recognize the benefits of AI and its impact on their tasks, critically evaluate AI recommendations, and find a balance between automated guidance with human judgement. Finding the optimal balance in the use of AI is critical. Fostering a culture of continuous learning, and adaptability, together with supportive leadership, can help maintain this balance. In summary, through a strategic application of psychological theories, SMEs can harness the potential of AI to improve work performance and mitigate labour shortages while developing motivated and critically thinking employees.
... Consumers' behaviour in a technologically enhanced environment is easily understand as it relates to the Technology Acceptance Model (TAM). By getting it clear that the components of TAM (perceived usefulness and ease of use) are important to the consumer adopting AR to support the use of TAM in retail and e-commerce context as Volume 48 Issue 4 (October 2024) https://powertechjournal.com postulated by Davis (1989), this work. Additionally, the framework has been integrated with machine learning by studying how intelligent systems make objects found and followed by AR more pleasurable and engaging for consumers based on identification and following of objects by AR . ...
Purpose: This study examines how Augmented Reality (AR) is used in retail advertising, focusing on trends, themes, and factors that influence its adoption, as identified in academic literature. The goal is to understand how AR applications have evolved and their impact on advertising strategies in retail. Methodology: The study utilized various analytical methods, including bibliometric analysis, word cloud analysis, Principal Component Analysis (PCA), and streamgraph analysis. Data was collected from Scopus and Web of Science databases, and analysis tools included VOSviewer, Voyant Tools, Python (using the sklearn library), and R’s streamgraph library. Findings and Discussion: The results indicate a rising interest in AR for boosting customer engagement. Major themes identified include user interaction, immersive shopping experiences, and technological innovation. PCA highlighted the key components that drive AR adoption, while streamgraph analysis illustrated how research trends have changed over time. Conclusion: This research sheds light on the increasing significance of AR in retail advertising and provides valuable insights for future research and practical applications in the industry.
This paper examines the perspectives of the Department of Employment and Labour employees and jobseekers on the usage of the Employment Services South Africa (ESSA) system. The system's primary aim is to place unemployed South Africans in available job opportunities by facilitating information sharing between employers and jobseekers based on the jobseekers' qualifications and experience. Data was collected from 34 respondents, including employees of the Department of Employment and Labour and jobseekers, through qualitative interviews. The findings revealed that many unemployed jobseekers did not effectively use the ESSA system. While the ESSA system is valued by the Department of Employment and Labour employees, its adoption, perceived usefulness, accuracy, and effectiveness among jobseekers are lacking. The system still struggles with low visibility, a lack of awareness, and trust among jobseekers, who often look elsewhere for effective recruitment.
This is the age of digital transformation and modernization. The study follows latest digital trends, empirically examines the impact of advertising disclosure and source credibility (i.e., trust, attractiveness, and expertise) on digital behavioral intention from a social media perspective in Pakistan. The respondents of the study were young jobholders from South Punjab, Pakistan who were using digital media platforms. A survey questionnnare was used to collect data from 275 respondents using a convenient sampling technique. The findings indicate that source credibility alongwith its three sub-dimensions and advertising disclosure significantly and positively influence digital behavioral intentions to engage in digital behavior. From both theoretical and practical perspectives, this study offers several contributions: (a) highlights the consequences of online advertising disclosures and source credibility on user intentions related to digital behavior, (b) delivers suggestions for marketing and advertising practices backed by laws, regulations, and policies, and (c) underscores how online advertising disclosures and source credibility provide useful tools and insights for creating successful strategies.
The transition to electric vehicles has become an urgent priority due to their lower environmental impact. The automotive industry has already developed solutions for zero-emission vehicles to significantly reduce greenhouse gas emissions. However, this transition heavily depends on the evolution of consumer demand. This paper focuses on Generation Z, as they will soon become a determining consumer segment in the automotive market. Our research aims to analyze Generation Z's attitude toward electric vehicles. Their attitude provides valuable insights for industry leaders regarding future consumer behavior. We analyzed the relationship between selected adoption factors (environmental concern, perceived risk, ease of use, and enjoyment) and Generation Z's attitude toward electric vehicles (measured by perceived relative advantage). Our research is based on data from Hungarian Generation Z respondents, and our findings conclude that environmental concern is less relevant than enjoyment and ease of use, which are the most impactful factors.
Previous research on technology adoption has primarily focused on younger populations, while older adults’ approach-avoidance conflicts toward digital learning have been relatively underexplored. This study aims to fill that gap by examining digital learning among older adults in Taiwan, incorporating target-specific elements related to their learning process. The unified model developed in this research highlights key barriers and provides new insights into the paradoxical hesitation older adults experience toward technology. A total of 20 older adults from Taiwan (mean age 63.85, 25% male) were interviewed. The study reveals that: (1) social influence is a major precursor for older adults’ exposure to digital technology; (2) both acceptance and barrier factors influence older adults’ digital learning; (3) older adults exhibit paradoxical hesitation toward technology; and (4) three types of senior digital learners can be identified: tech-native learners, tech-novice learners, and tech-rejector learners. This research contributes to understanding how older adults in Taiwan navigate the complexities of digital learning.
Purpose: Turnover tax was introduced in Kenya in 2007 to enhance revenue collection, improve tax administration and reduce non-compliance and collection costs among the micro, small and medium enterprises. The main objective of the study was to determine the effect of peer influence on turnover tax compliance among small and medium enterprises in Meru County, Kenya. The study was guided by theory of planned behaviour. Methodology: The study adopted an explanatory research design to enable the generalization of the study hypotheses. The target population was 1756 small and medium enterprises in Meru town and a sample size of 325 respondents. The study showed that the response rate for the questionnaire was 72.0%, showing that 234 out of 325 participants correctly filled the and submitted their questionnaires. The study used primary data, collected through questionnaires which was administered through drop and pick later method. Results: The study found that peer influence had a positive and significant effect on turnover tax compliance (β = 0.237, p = 0.000). Conclusion: Based on the findings, the study recommends that the government enhance programs that foster peer influence, as it has been shown to positively affect tax compliance. Future studies could also investigate the effects of KRA m-service on turnover tax compliance
Introduction: The primary objective of this research is to explore customer trust, attitudes, and experience , directly effect on perceived usefulnessas and perceived ease, and indirectly impact on attitude toward using and actual system use, as utilizing Mobile Banking of the 5 Top Brand Award Sharia Banks. Methods: The study employs a quantitative method, focusing on understanding the interrelations between multiple variables. Exerting random sampling of 280 customers from the 5 Top Brand Award Sharia Banks participated as respondents in the study, and data was collected through both questionnaires and secondary sources. Results: The findings from the study indicate that all variables i.e. customer trust, attitude, and experience have a significant effect on perceived usefulness and perceived ease of use. Furthermore, both of them also have significant on attitude toward using and actual system use. Conclusion and suggestion: In summary, the technology adoption and mobile banking use by consumers variables can be explained by the perceived usefulness and perceived ease of use variables. It implicates that customers have confidence that mobile banking provides benefits for customers related to financial transaction solutions. Therefore, Islamic banks have to always update their technology and inform the public how to use it.
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