Technology Acceptance Model Relationships Research Articles

Predictive Factors of Physicians' Satisfaction and Quality of Work Under Teleconsultation Conditions: Structural Equation Analysis.

The COVID-19 pandemic contributed to an increase in teleconsultation adoption in the Polish primary health care system. It is expected that in the long run, teleconsultations will successfully replace a significant part of face-to-face visits. Therefore, a significant challenge facing primary health care facilities (PHCs) is the acceptance of teleconsultations by their users, especially physicians. This study aimed to explore physicians' acceptance of teleconsultations during the COVID-19 pandemic in Poland. A representative survey was conducted among 361 physicians of PHCs across Poland in 2021. For the purposes of the study, we developed a modified Technology Acceptance Model (TAM) model. Based on the modified TAM, we analyzed the impact of perceived usefulness (PU), perceived ease of use (PEU), and intention to use teleconsultation (INT) on physicians' satisfaction (SAT) and quality of work (Q). The psychometric properties of the research instrument were examined using exploratory factor analysis. Finally, structural equation modeling was used for data analysis. The results indicated a generally high level of PU (mean 3.85-4.36, SD 0.87-1.18), PEU (mean 3.81-4.60, SD 0.60-1.42), INT (mean 3.87-4.22, SD 0.89-1.12), and SAT (mean 3.55-4.13, SD 0.88-1.16); the lowest rated dimension in TAM was Q (mean 3.28-3.73, SD 1.06-1.26). The most important independent variable was PU. The influence of PU on INT (estimate=0.63, critical ratio [CR]=15.84, P<.001) and of PU on SAT (estimate=0.44, CR= 9.53, P<.001) was strong. INT was also a key factor influencing SAT (estimate=0.4, CR=8.57, P<.001). A weaker relationship was noted in the effect of PEU on INT (estimate=0.17, CR=4.31, P<.001). In turn, Q was positively influenced by INT (estimate=0.179, CR=3.64, P<.001), PU (estimate=0.246, CR=4.79, P<.001), PEU (estimate=0.18, CR=4.93, P<.001), and SAT (estimate=0.357, CR=6.97, P<.001). All paths between the constructs (PU, PEU, INT, SAT, and Q) were statistically significant, which highlights the multifaceted nature of the adoption of teleconsultations among physicians. Our findings provide strong empirical support for the hypothesized relationships in TAM. The findings suggest that the PU and PEU of teleconsultation have a significant impact on the intention of physicians to adopt teleconsultation. This results in an improvement in the satisfaction of Polish physicians with the use of teleconsultation and an increase in Q. The study contributes to both theory and practice by identifying important prognostic factors affecting physicians' acceptance of teleconsultation systems.

The impact of social influence on perceived usefulness and behavioral intentions in the usage of non-pharmaceutical interventions (NPIs)

ABSTRACT Purpose: Against the backdrop of the technology acceptance model (TAM), theory of reasoned action, and social impact theory the purpose of this research is to examine the validity of the TAM and assess the impact of social influence on the usage of NPIs in order to determine how best to encourage people to engage in the use of NPIs. Design/methodology/approach: A survey instrument was used to gather data with a snowball sampling method from Canadian respondents. The survey questionnaire items were adapted from existing literature. Data analysis was done using PLS-SEM. Findings: The results indicate that the TAM framework is applicable in the context of the use of NPIs with the COVID-19 outbreak as all TAM relationships were positive and significant. In addition, the results show a positive and significant impact of social influence on perceived usefulness, attitudes, and behavioral intentions towards the usage of NPIs. Thus, social forces can be considered relevant when understanding the adoption of technology. Originality/value: This research gives a better understanding of how social influence impacts adoption of behavior, such as the use of NPIs, and can be used to support the use of NPIs to decrease the spreading of viruses.

Digital Tools Acceptance in Open Distance Learning (ODL) among Computer Science Students during COVID-19 Pandemic: A Comparative Study

Abstract: The present new norm driven by the COVID-19 pandemic has taught us to remain at home and carry our everyday activities. This pandemic has seriously made a radical shift to the Malaysian education sector as well. Educators instantly begin to adopt Open and Distance Learning (ODL). However, issues arise in courses that need a conventional setting. In ODL, students and lecturers rely on digital tools, social media, pre-recorded video, and video conference to assist the learning process. Nonetheless, there are some concerns about how successful digital tools are among students in an online learning environment, particularly among computer science students. Thus, a study is being conducted to compare the acceptance of digital tools among computer science (CS) and non-computer science (NoNCS) students by adapting the Technology Acceptance Model (TAM). A quantitative research method of convenient sampling was undertaken. Questionnaires were distributed through an online survey among UiTM Terengganu students at three campuses in Dungun, Bukit Besi and Kuala Terengganu. A sample of 367 students who responded from different diploma and degree programs was collected. Findings of the study revealed that all relationships in TAM are significant for both CS and NoNCS students, where both acquire positive perceived usefulness, attitude, and use intention. Thus, the acceptance of digital tools in ODL are justified. However, it appears that NoNCS students had a more positive attitude than CS students, contradicting the study's initial general assumption. More study is needed to discover why NoNCS students have a better attitude than CS students in the acceptance of digital tools during ODL.&#x0D; &#x0D; Keywords: Computer Science, COVID-19, Digital Tools, ODL, TAM

The exploration role of Sharia compliance in technology acceptance model for e-banking (case: Islamic bank in Indonesia)

PurposeThe study proposes an extended model of the technology acceptance model (TAM) by including Sharia compliance (SC), knowledge of SC and confidence in SC, in addition to perceived usefulness (PU) and perceived ease of use (PEOU). This research aims to investigate its impact on satisfaction, applied in e-banking of Indonesian Islamic banking. Also, the authors study the role of SC, knowledge of SC and confidence in all relationships in TAM in explaining customer satisfaction.Design/methodology/approachData collecting in this research is a self-administered survey by sending questionnaires to respondents online via e-mail or WhatsApp. The number of collected data are 300 completed questionnaires. Hypothesis testing and analyses in this research use the multiple linear regression model.FindingsThis study finds that SC, knowledge about SC and belief in SC have a significant impact on customer satisfaction of Islamic banks using e-banking. The most important finding in this study is that SC, knowledge about SC and belief in SC significantly moderate the relationship between PU and PEOU with customer satisfaction.Originality/valueThe originality of this research is exploring the role of SC, knowledge of SC and confidence in SC in all relationships, and it is expressed in the original TAM to explain customer satisfaction. This study has never been applied in previous studies, particularly studies of Islamic bank e-banking in Indonesia. This study highlights the importance of SC in the extended TAM, as a distinguishing factor between e-banking provided by Islamic banks and conventional banks, as well as the role of knowledge and confidence in SC. The authors propose policies that will be useful for the improvement of the market share of Islamic banking in Indonesia.

Shifting from autograph to Selfie: consumer self in the Facebook world

The recent revolution of information technology has diffused Facebook widely among consumers, and it has a considerable impact on consumer self and modern marketing communication. Purpose of this study is to investigate the acceptance and impact of dematerialized Facebook possessions on consumer extended self. The theoretical foundation of Technology Acceptance Model (TAM) and extended self were used to develop the hypotheses of the study. The current study is based on primary data collected through a self-administered questionnaire, among a sample of 327 Sri Lankan undergraduates. Partial Least Squares Structural Equation Modeling (PLSSEM) was used to estimate the path coefficients and test the hypotheses developed in the study. Findings reconfirmed the original TAM relationships, enabling the use of TAM in identifying the predictors for accepting dematerialized Facebook possessions. Moreover, findings revealed that dematerialized Facebook possession usage extended consumer self. Theoretical and practical implications of these study and directions for further research are discussed.

Examining the antecedents of the technology acceptance model within e-procurement

PurposeDespite the widespread organisational adoption of e-procurement systems, we continue to witness disappointing performance outcomes from their implementation. This can be explained largely by the failure of many organisations to translate the initial adoption decision, made at an organisational level, into individual-level acceptance of e-procurement by an organisation’s employees. The purpose of this paper is to examine the key antecedents of the technology acceptance model (TAM) for employees expected to use e-procurement systems in their day-to-day activities.Design/methodology/approachIn this study, the authors apply and extend the TAM to examine the factors that influence the acceptance of e-procurement by individual employees. The authors’ focus is on the potential role of user-perceived e-procurement quality dimensions as the antecedents to the TAM’s cognitive mechanisms of perceived usefulness and perceived ease of use. The structural equation model uses the survey data collected from 139 e-procurement users at a university in the Netherlands.FindingsThe results confirm the core TAM relationships within an e-procurement context. Extending the TAM model to explore the antecedents, the authors find that the e-procurement quality dimensions of processing, usability, and professionalism impact the levels of individual employee e-procurement acceptance. Interestingly, the system-level dimensions (processing and usability) appear to play a greater role than the support dimensions (professionalism) in these cognitive mechanisms.Practical implicationsThe findings indicate that the need for e-procurement training and on-going support may be lessened by initial effective design covering system navigation and system usability and by ensuring that an e-procurement system has expedient information and product flows between the buyer and supplier.Originality/valueTo the authors’ knowledge, this is the first study to explore the TAM and, more critically, its antecedents within an e-procurement context. It is also the first to empirically validate this extended model. Finally, by shifting the focus from the more typical organisational-level adoption to an individual employee acceptance unit of analysis, the authors provide a better understanding of how organisations can gain the most from investments in e-procurement and other similar e-supply chain management technologies.

Factors comprehensively influencing acceptance of 3D-printed apparel

PurposeThe purpose of this paper is to incorporate an extended technology acceptance model (TAM) and examine how various factors comprehensively influence and determine consumers’ perceptions, attitude, and usage intention of 3D-printed apparel.Design/methodology/approachAn online survey was designed using established measures and 1,002 participants were recruited.FindingsAll external variables were related. Beyond indirect influences, tech optimism still moderately influenced ease of use, but weakly influenced attitude; aesthetics still strongly influenced usefulness and attitude, but weakly influenced usage intention; performance still strongly influenced ease of use, usefulness, and attitude. In addition, only indirect influences came from tech optimism to usefulness and usage intention, aesthetics to ease of use, and performance to usage intention. The TAM relationships were mostly confirmed, except ease of use to usefulness. Usage intention was mostly determined by attitude, which was largely influenced by design, performance, and usefulness, and limitedly contributed by aesthetics and usefulness.Research limitations/implicationsParticipants’ response might be influenced by the provided materials of 3D-printed apparel.Practical implicationsThe present study explicitly showed a complete picture about all possible influences among factors. Business managers can make strategies to meet consumers’ needs based on the current study without worrying about overlooking any possible effects.Originality/valueThe current study, for the first time, examined: consumers’ adoption intention of 3D-printed apparel, the relationships among external variables, and how external factors comprehensively influenced consumers’ perceptions, attitude, and usage intention.

A meta-analysis of e-health applications acceptance

PurposeThe increasing importance of electronic health (e-health) has raised the significance of exploring the factors influencing the users’ acceptance of e-health applications. There has been an extensive usage of the technology acceptance model (TAM) in e-health applications acceptance research. However, not all TAM relationships are borne out in all the studies. There is a variation in predicted effects in several studies with different user type and application type. The purpose of this paper is to bridge a research gap by providing a holistic view of the e-health applications acceptance research by integrating the findings of existing relevant literature.Design/methodology/approachA statistical meta-analysis of the effect size of causal relationships between common TAM constructs was conducted on 111 peer-reviewed academic studies published in various journals.FindingsThe results confirm the validity and robustness of the TAM in e-health applications acceptance research. Further, a moderator analysis based on user type and e-health application type demonstrated that the effect size of causal relationships between TAM constructs majorly depends on the user type, but not on e-health application type.Research limitations/implicationsThis research provides a ready reference of the existing studies on e-health applications acceptance to the researchers. Further, if researchers or practitioners want to learn more about the particular user or application type, they may find the results valuable.Practical implicationsThis research suggests that the general public can be used as the surrogates for patients in e-health applications acceptance research. The implementation strategy found successful for medical staff may not work for general public and patients. This research also suggests ways to enhance acceptance of e-health applications among different user groups.Originality/valueThe research is original and is based on the existing literature and its interpretation.

The Effects of Technology Innovativeness and System Exposure on Student Acceptance of E-textbooks

The efforts of educators in the last three decades have, among other things, focused on the use of information technology (IT) in education. It has become commonplace to view information systems both as an effective carrier of course content as well as a cost-effective tool to improve student learning outcomes. One of such technologies is the e-book. Decision-makers in the education field need make sense of this technological transformation. However, despite the growing popularity of e-books in higher education, its adoption by students is yet to be crystalized. This study exploits the technology acceptance model (TAM) framework to examine student acceptance of e-textbooks as “internally” impacted by technology innovativeness and “externally” influenced by system exposure. The results showed that students’ technology innovativeness is associated with student acceptance of e-textbooks and that system exposure was a strong moderator of the TAM relationships. The findings suggest that students’ openness to new technology, in general, is likely to positively affect the adoption of a specific new instructional technology. Additionally, system exposure was found to be a significant moderator of the TAM relationships. It is concluded that students’ technology innovativeness and system exposure must therefore be factored into instructional technology usage decision-making models.

E-shopping: an Analysis of the Technology Acceptance Model

One of the continuing issues in the management of information technologies is the difficulty of identifying significant factors that influences consumers to accept and make use of systems developed and implemented by others. Existing studies have employed the technology acceptance model (TAM) to address this issue and the model has now become one of the most widely used models in information technology. However, an exhaustive review of the literature suggest that findings of TAM relationships are not borne out in all studies - there remains a wide variation of predicted effects in various studies with different types of users and systems. While there are existing studies concentrated on online shopping globally, many conclude with calls for a closer examination of online shopping intentions in specific countries, typically those in developing and less developed countries. Online shopping remains in the early stage of development in Malaysia. Little is known about the acceptance of online shopping and the factors which influence this behaviour. This study attempts to fill in this gap by providing insights on how consumers form their attitudes and online shopping intentions to the existing literature and managerial implications for online shopping retailers and marketers on how best to serve and attract consumers to shop online via the management of online shopping technologies.

Examining the Moderating Role of National Culture on an Extended Technology Acceptance Model

Previous research studies have primarily examined the Technology Acceptance Model (TAM) in one country or in developed and western countries. This paper attempts to answer two questions of particular significance that remain only partially answered in the information systems literature. The first question asks: do TAM relationships hold good for a group of countries of diverse national cultures? The second question investigates: can national culture explain differences in TAM relationships across countries? To answer the above two questions, a structural equation modeling approach was applied using computer-related data collected from college students in the USA and two countries of non-Western cultures: Chile, and the United Arab Emirates. The research findings imply that for the group of three countries, all relationships among the components of an extended TAM that incorporates individual computer knowledge as an external variable were supported. In addition, national culture moderates four of the TAM relationships.

Web banking layout effects on consumer behavioural intentions

PurposeElaborating on earlier research by Vrechopoulos et al., this paper aims to investigate web banking store layout effects on user‐consumer behaviour and to report on a laboratory experimental investigation into user acceptance of three different layout types.Design/methodology/approachA web banking store was developed in three versions equal to the number of the alternative layouts manipulated by the laboratory experimental design. Two layout types were transformed from conventional banking and one type was designed by incorporating users' preferences and suggestions. The relationships in technology acceptance model (TAM) in the three treatments are tested separately, and then the subjects' evaluations on TAM constructs are compared.FindingsThe findings imply that store layout affects online consumer behaviour, confirming the findings of Vrechopoulos et al. in a different sector. The study also confirms the TAM relationships in all treatments and indicates that layout has an effect on user acceptance of web banking in terms of TAM constructs.Research limitations/implicationsThis study confirms the available knowledge regarding a store layout's influencing role on consumer behaviour in the context of web commerce.Practical implicationsDirect managerial implications for web banking are provided through the design of the “improved future” layout, which is depicted in the form of an abstract interface design.Originality/valueThe paper adopts an innovative conclusive causal research design towards testing the research hypotheses. To that end, an experimental application was developed in the laboratory and the research hypotheses were “packed‐up” with references from different disciplines (i.e. marketing and information systems) providing through that an interdisciplinary nature on the present study.

Business Acceptance of Information Technology

This study analyzes current and future company use of various new business technologies, such as management software, employing a technology acceptance model (TAM) optimized by the inclusion of experience with other technologies (Internet, e-mail, EDI, Web procurement). Moreover, it examines whether relationships in the model change according to sectors to which companies belong, that is, if there exists a moderating effect of industry. The study applies two types of analyses: structural and multisample. The results show that technological compatibility, web procurement, perceived usefulness and perceived ease of use influence future use of business technologies. Companies should be aware that interrelationships exist among the various information technologies. Investment in a specific IT may facilitate the acceptance and subsequent performance of other applications. Furthermore, the “industry effect” modifies two important TAM relationships, and consequently it affects the company behavior regarding technology.