User Acceptance Of Information Technology Research Articles

Structured Exposure Achieves High Acceptance of Immersive Technology Among Medical Students and Educators.

Virtual reality (VR) is a potent educational tool with untapped potential in medical training. However, its integration into medical schools faces challenges such as cybersickness and hesitancy among medical students and professionals. Notably, there has been no systematic assessment of the acceptance of medical educational VR applications by both students and educators. In our single-center study, we enrolled 133 medical students and 14 medical educators. Following a practical demonstration of the established VR anatomy application, Sharecare YOU VR, participants completed a self-reporting survey based on the Technology Acceptance Model (TAM), exploring user acceptance of information technologies and focusing on perceived usefulness (PU), perceived ease of use (PEU), and attitude toward using (ATU). We also sought insights into potential future applications of VR in medical education. Our findings indicate a high level of acceptance among medical students and educators upon structured exposure to VR with significantly positive responses for all three TAM variables (PU, PEU, and ATU). Intriguingly, hands-on experience influenced acceptance. Students envisioned VR's benefits in anatomy, surgery, emergency medicine, and communication skill training with patients. Both students and educators believed that VR could enhance traditional approaches and complement the existing curriculum, anticipating improved preparedness for medical students through VR training applications. In conclusion, our results demonstrate the receptivity of both students and educators to immersive technologies, including VR, in medical education. Importantly, the data suggest that the adoption of VR in this field would be welcomed rather than resisted, potentially enhancing students' self-efficacy and enriching the medical school curriculum.

Theory of radiologist interaction with instant messaging decision support tools: A sequential-explanatory study.

Radiology specific clinical decision support systems (CDSS) and artificial intelligence are poorly integrated into the radiologist workflow. Current research and development efforts of radiology CDSS focus on 4 main interventions, based around exam centric time points-after image acquisition, intra-report support, post-report analysis, and radiology workflow adjacent. We review the literature surrounding CDSS tools in these time points, requirements for CDSS workflow augmentation, and technologies that support clinician to computer workflow augmentation. We develop a theory of radiologist-decision tool interaction using a sequential explanatory study design. The study consists of 2 phases, the first a quantitative survey and the second a qualitative interview study. The phase 1 survey identifies differences between average users and radiologist users in software interventions using the User Acceptance of Information Technology: Toward a Unified View (UTAUT) framework. Phase 2 semi-structured interviews provide narratives on why these differences are found. To build this theory, we propose a novel solution called Radibot-a conversational agent capable of engaging clinicians with CDSS as an assistant using existing instant messaging systems supporting hospital communications. This work contributes an understanding of how radiologist-users differ from the average user and can be utilized by software developers to increase satisfaction of CDSS tools within radiology.

Measuring EFL learners’ use of ChatGPT in informal digital learning of English based on the technology acceptance model

ABSTRACT Purpose: This study aims to generate empirical insights into the extent to which ChatGPT, a highly capable AI chatbot building on OpenAI's GPT family, is perceived and leveraged by EFL learners beyond the classroom. Design/Methodology: This quantitative cross-sectional investigation draws upon the technology acceptance model (TAM) as developed by (Davis, F. D. 1989. “Perceived Usefulness, Perceived Ease of use, and User Acceptance of Information Technology.” Management Information System Quarterly 13 (3): 983–1003) to conceptualize EFL learners’ attitudes, intentions, and actual behaviors of using ChatGPT in their informal digital learning of English. A total of 405 EFL learners answered the revised TAM questionnaire with scales including Perceived Ease of Use, Perceived Usefulness, Attitude, Behavioral Intention, and Actual Use. Findings: The results of structural equation modeling analyses indicated that while Perceived Ease of Use fails to predict learners’ Attitude directly, it can influence Attitude through the full mediator Perceived Usefulness. It was also found that learners who take positive attitudes toward the usefulness of ChatGPT tend to demonstrate a higher level of Behavioral Intention, which positively and strongly predicts their Actual Use of ChatGPT in English learning outside the classroom. Originality/value: This study provides empirical evidence that supports the potential of ChatGPT as a powerful language-learning tool that EFL learners should utilize to participate in the ecological CALL creatively and productively.

Dimensions of Interest in Using E-Wallets in Online Transportation Service

There are still many MSME actors who have not used e-wallets, especially in using online transportation. This paper examines the Utilitarianism, trust, risk perception, reputation, and costs of e-wallet users' interest in online transportation. This research uses quantitative methods. A questionnaire was used to collect data from 110 small and medium-scale entrepreneurs in Bali Province. Multiple linear regression analysis tests are used to test the interest of e-wallet users. The results show that the utilitarian variables, trust, and reputation, positively and significantly affect e-wallet user interest. At the same time, risk perceptions and cost do not affect e-wallet user interest. These costs are burdensome for consumers to purchase mobile devices to take advantage of digital payment services, so it takes time and effort to consider adopting new technology. Inclusive finance is an important entry point for inclusive growth; e-wallets also help Micro, Small, and Medium Enterprises currently being promoted by the government to support the economy. TAM is a model that theoretically helps predict and explain user acceptance of information technology. Digital payment solutions allow consumers and merchants to use social media to buy and sell goods and services to create new economic opportunities.

Webcams and technostress: the complicated web of amplified online learning, webcam use, and technostress during COVID 19

ABSTRACT Technological advances and COVID-19 have led to expedited technology use and online learning in higher education. Increased technology use and online learning have led individuals to either adapt or experience technostress. Higher education is a ripe context for technostress to occur, especially for students, since many courses are being offered in a hybrid and/or synchronous online format due to COVID-19. Students have often been required and/or encouraged to use multiple technologies, especially webcams, during online courses. Thus, this study explores the technostress students could be experiencing from requested webcam use as well as potential influencers and outcomes of technostress for students via exploring factors from Davis’s [Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340] technology acceptance model in a new proposed model. Results indicated the model was a significant predictor for digital skills, perceived ease of use, technostress, and cognitive learning for students being required or not required to use webcams. Implications for researchers and instructors as well as future research directions are discussed.

TAM Approach: Effect of Security on Customer Behavioral Intentions to Use Mobile Banking

As the use of mobile banking continues to grow, attention must be paid to the security of financial transactions. The purpose of this study is to investigate the impact of security levels on the intent of users of mobile banking. This study uses the widely used Technology Acceptance Model (TAM) to investigate user acceptance of information technology. By distributing an online survey, we used mobile banking to collect data from 100 respondents. The data analysis was processed using a SmartPLS application with structural equation modeling (SEM) methods. The results of this analysis show that the security of mobile banking has a significant positive impact on the perceived usefulness of mobile banking. However, security is not the main reason users use mobile banking. This means that customers will continue to use mobile banking, regardless of security. In addition, security does not significantly affect the ease of use of mobile banking. The study also found that the benefits of mobile banking have a significant impact on user intent. The ease of use of mobile banking also has a significant impact on the perceived benefits

Perceived convenience, usefulness, effectiveness and user acceptance of information technology: evaluating students’ experiences of a Learning Management System

ABSTRACT This study extended the technology acceptance model developed by Davis to examine the relationship among the variables: perceived convenience (PC), perceived effectiveness (PE), perceived usefulness (PU) and the extent to which they impact on students’ user acceptance of a Learning Management System (LMS). A Questionnaire was used to collect data from 109 second- and third-year students who enrolled in a course via the LMS for the first time. Regression and correlation analyses were used to explore the variables of the study. The results revealed that PC, PU and PE were antecedent factors that affected user acceptance of the LMS, PC being the best predictor of user acceptance. Perceived convenience also correlated positively with both PU and PE, the relationship being more pronounced between PC and PU. Implications of the results for scaling up or replicating the LMS initiative in the study context or in institutions with similar contexts are discussed.

Predictors of Walking App Users With Comparison of Current Users, Previous Users, and Informed Nonusers in a Sample of Dutch Adults: Questionnaire Study

BackgroundThe last decade has seen a substantial increase in the use of mobile health apps and research into the effects of those apps on health and health behaviors. In parallel, research has aimed at identifying population subgroups that are more likely to use those health apps. Current evidence is limited by two issues. First, research has focused on broad health apps, and little is known about app usage for a specific health behavior. Second, research has focused on comparing current users and current nonusers, without considering subgroups of nonusers.ObjectiveWe aimed to provide profile distributions of current users, previous users, and informed nonusers, and to identify predictor variables relevant for profile classification.MethodsData were available from 1683 people who participated in a Dutch walking event in Amsterdam that was held in September 2017. They provided information on demographics, self-reported walking behavior, and walking app usage, as well as items from User Acceptance of Information Technology, in an online survey. Data were analyzed using discriminant function analysis and multinomial logistic regression analysis.ResultsMost participants were current walking app users (899/1683, 53.4%), while fewer participants were informed nonusers (663/1683, 39.4%) and very few were previous walking app users (121/1683, 7.2%). Current walking app users were more likely to report walking at least 5 days per week and for at least 30 minutes per bout (odds ratio [OR] 1.44, 95% CI 1.11-1.85; P=.005) and more likely to be overweight (OR 1.72, 95% CI 1.24-2.37; P=.001) or obese (OR 1.49, 95% CI 1.08-2.08; P=.005) as compared with informed nonusers. Further, current walking app users perceived their walking apps to be less boring, easy to use and retrieve information, and more helpful to achieve their goals. Effect sizes ranged from 0.10 (95% CI 0.08-0.30) to 1.58 (95% CI 1.47-1.70).ConclusionsThe distributions for walking app usage appeared different from the distributions for more general health app usage. Further, the inclusion of two specific subgroups of nonusers (previous users and informed nonusers) provides important information for health practitioners and app developers to stimulate continued walking app usage, including making information in those apps easy to understand and making it easy to obtain information from the apps, as well as preventing apps from becoming boring and difficult to use for goal attainment.

Socioeconomic and behavioural factors associated with access to and use of Personal Health Records

BackgroundAccess to and use of digital technology are more common among people of more advantaged socioeconomic status. These differences might be due to lack of interest, not having physical access or having lower intentions to use this technology. By integrating the digital divide approach and the User Acceptance of Information Technology (UTAUT) model, this study aims to further our understanding of socioeconomic factors and the mechanisms linked to different stages in the use of Personal Health Records (PHR): desire, intentions and physical access to PHR.MethodsA cross-sectional online and in-person survey was undertaken in the areas of Lorraine (France), Luxembourg, Rhineland-Palatinate and Saarland (Germany), and Wallonia (Belgium). Exploratory factor analysis was performed to group items derived from the UTAUT model. We applied linear and logistic regressions controlling for country-level heterogeneity, health and demographic factors.ResultsA total of 829 individuals aged over 18 completed the questionnaire. Socioeconomic inequalities were present in the access to and use of PHR. Education and income played a significant role in individuals' desire to access their PHR. Being older than 65 years, and migrant, were negatively associated with desire to access PHR. An income gradient was found in having physical access to PHR, while for the subgroup of respondents who expressed desire to have access, higher educational level was positively associated with intentions to regularly use PHR. In fully adjusted models testing the contribution of UTAUT-derived factors, individuals who perceived PHRs to be useful and had the necessary digital skills were more inclined to use their PHR regularly. Social influence, support and lack of anxiety in using technology were strong predictors of regular PHR use.ConclusionThe findings highlight the importance of considering all stages in PHR use: desire to access, physical access and intention to regularly use PHRs, while paying special attention to migrants and people with less advantaged socioeconomic backgrounds who may feel financial constraints and are not able to exploit the potential of PHRs. As PHR use is expected to come with health benefits, facilitating access and regular use for those less inclined could reduce health inequalities and advance health equity.

THE ROLE OF SOCIAL MEDIA MARKETING IN PROMOTING SMALL AND MEDIUM BUSINESS

Purpose. The purpose of the article is to study social media marketing as a tool promotion of products of small and medium enterprises, studying the essence of the concept of “social media marketing”, using marketing in social networks as part of the marketing strategy of small and medium-sized businesses. Methodology of research. Article based on the analysis of scientific achievements and research of theorists and practitioners of Internet marketing. The objectives of the article implemented by using the general and specific research methods: analysis and synthesis, systematization and generalization, dialectical approach. Findings. The article analyzes and summarizes the experience Internet marketing in small and medium enterprises. The terminology, methods and means of Internet marketing are defined. A study of modern tools of Internet marketing in the development of e-commerce on enterprises. The use of Internet marketing in small and medium enterprises in the world is considered. Practical value. Based on the research, conclusions and recommendations for the use of marketing tools in social networks have been developed, which will have a significant impact on the development and promotion of small and medium-sized businesses. Keywords: social marketing, Internet-scope, social networks, web-site, content traffic, Internet marketing, social media marketing. REFERENCES 1. Ayatse, F. A. (2012). The influence of corporate ethical codes of conduct on the production of quality products among pharmaceutical companies in Nigeria. Journal of Economics and Sustainable Development, 3 (3), pp. 35–44. 2. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319– 340. 3. Davis, F. D., Bagozzi, R. P. & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management science, 35 (8), 982– 1003. 4. Derham, R., Cragg, P. & Morrish, S. (2011). Creating Value: An SME And Social Media. PACIS, 53, 1–9. 5. Dellaert, B. G. & Ruyter, K. D. (2004). What drives consumers to shop online? A literature review. International journal of service industry management, 15 (1), 102–121. 6. Dishaw, M. T. & Strong, D. M. (1999). Extending the technology acceptance model with task– technology fit constructs. Information & management, 36 (1), 9–21. 7. Gillham, B. (2005). Research Interviewing: The range of techniques: A practical guide. McGraw-Hill Education (UK). 8. Goodhue, D. L., Klein, B. D., Salvatore, T. and Thompson, R. L. (1995). Tasktechnology fit. Human-Computer Interaction and Management Information Systems: Foundations, pp.184–204. 9. Husam, R., Naser, S. S. A., El Talla, S. A. and Al Shobaki, M. J. (2018). Information Technology Role in Determining Communication Style Prevalent Among Al-Azhar University Administrative Staff. International Journal of Information Technology and Electrical Engineering, 7 (4), pp. 21–43. 10. Kangas, J., Kurttila, M., Kajanus, M. & Kangas, A. (2003). Evaluating the management strategies of a forestland estate – the SOS approach. Journal of environmental management, 69 (4), 349–358. 11. Karpenko, N. V., Ivannikova, М. М. (2020). The influence of the consumer’s type – physical or digital – on their behavioral characteristics. Economic Bulletin of SHEI “Ukrainian State University of Chemical Technology”, 2020, 2 (20). – pp. 113–118. 12. Klopping, I. M. & McKinney, E. (2004). Extending the technology acceptance model and the task-technology fit model to consumer e-commerce. Information Technology, Learning & Performance Journal, 22 (1). 13. Nobre, H. and Silva, D. (2014). Social network marketing strategy and SME strategy benefits. Journal of Transnational Management, 19 (2), pp. 138–151. 14. Pannu, P. and Tomar, Y. A. (2010). ICT4D information communication technology for development. IK International Pvt Ltd. 15. Usoro, A. (2001). Can information technology help managers plan globally? Journal of Global Information Management (JGIM), 9 (1), 17–24. 16. Vankatesh, V., Morris, M. G., Davis, G. B. & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. Mis Quarterly, 27 (3), 425–478. 17. Venkatesh, V. & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management science, 46 (2), 186–204. Published: 2021-05-27

A recommendation system based on an adaptive learning cognitive map model and its effects

ABSTRACT Most online learning researchers use resource recommendation and retrieve based on learning performance and learning style to provide accurate learning resources, but it is a closed and passive adaptive way. Learners always do not know the recommendation rationale and just receive the result-oriented recommended resources without having a chance to make a procedural reflection and self-directed adjustment. This study proposed an adaptive learning cognitive map model and developed an online learning system based on this model. The proposed system could represent learners’ knowledge structure and cognitive state that allow learning contents, learning activities, learning paths and learning partners to be adjusted continuously, thus providing learners with appropriate learning resources and initiative reflection opportunities during the whole learning procedure. This study conducted a contrast experiment to evaluate the effectiveness of the proposed system. Students in the experimental group received learning interventions according to their adaptive learning cognitive maps. The result demonstrated that the proposed system with the learning cognitive map improved students’ learning achievement, learning satisfied, user acceptance of information technology and learning interaction while did not reduce or increase cognitive load.

The Impact of Perceived Ease of Use towards Perceived Enjoyment and Customer Experience to Customer Satisfaction and Repurchase Intention (Case Study Among Spotify Premium Users)

The purpose of this research is to analyze the impact of Perceived Ease of Use towards Perceived Enjoyment and Customer Experience to Customer Satisfaction and Repurchase Intention. The digital world offers many business opportunities to companies that run platforms turning web-users into subscribers. The high trend of digital music distribution affects music sales in the physical form, seen from the income which decreases from year to year. From this point we can see that it is undeniable Customer Satisfaction and Repurchase Intention plays an important factor in music streaming service. In this research, the data analysis method used is Structural Equation Model Partial Least Square (SEMPLS) method. To conduct analysis using PLS method, this research is using smartPLS 3.0 software.The hypothesis of the research are H1:Perceived Ease of Use has a positive effect to Perceived Enjoyment, H2: Perceived Ease of Use has a positive effect to Experience, H3: Perceived Enjoyment has a positive effect to Customer Experience, H4: Perceived Enjoyment has a positive effect to Customer Satisfaction, H5: Customer Experience has a positive effect to Customer Satisfaction, H6: Customer Satisfaction has a positive effect to Repurchase Intention. H7: Perceived Enjoyment mediates the relationship between Perceived Ease of Use and Customer Satisfaction. H8: Customer Experience mediates the relationship between Perceived Ease of Use and Customer Satisfaction. H9: Customer Satisfaction mediates the relationship between Perceived Enjoyment and Repurchase Intention. H10: Customer Satisfaction mediates the relationship between Customer Experience and Repurchase Intention. The result of this research shows that H1, H3, H4, H5, H6, H7, H9 and H10 are accepted but H2 and H8 are rejected.Keyword: Perceived Ease of Use, Perceived Enjoyment, Customer Experience, Customer Satisfaction, Repurchase Intention

MODELLING TRAVELLERS’ ROUTE SWITCHING BEHAVIOUR IN RESPONSE TO VARIABLE MESSAGE SIGNS USING THE TECHNOLOGY ACCEPTANCE MODEL

Recent studies adopted models of user acceptance of information technology to predict and explain drivers’ acceptance of traffic information. Among these frameworks, the most commonly used is the Technology Acceptance Model (TAM). However, TAM is too general and does not consider drivers’ response in specific traffic conditions or choice scenarios. This study combines an extended TAM with different choice scenarios displayed by Variable Message Signs (VMS) into a Hybrid Choice Model (HCM). Two models are proposed. The first model takes into account the causal relationships among latent variables based on the following hypotheses: Information Quality (IQ) has a positive effect on Perceived Usefulness (PU) and Perceived Ease of Use (PEOU) which, in turn, have a positive effect on the Behavioural Intention (BI) to use traffic information. In the second model, the four latent variables PU, PEOU, IQ, and BI are directly added to the utility function without any causal relationships. 339 drivers with valid licence were interviewed via Stated Preference (SP) survey and the results show that TAM can explain travellers’ response to VMS if the causal relationships among latent variables are taken into account. In addition, all hypothesized relationships are strongly supported. Practical and academic implications are also discussed.

Chinese postgraduate EFL learners’ self-directed use of mobile English learning resources

Despite the increasing ownership of mobile devices among Chinese postgraduate EFL learners, relevant studies regarding mobile English learning resources (MELR) use by postgraduate learners are still lacking. This study tries to understand the uses and the motivation behind language learners´ selection of MALL resources. In this research, 95 Chinese postgraduate students from four university levels took part in a questionnaire, and eight of them in an interview. The results show that “passing exams” was the top reason for using MELR and expanding one’s English vocabulary was the aspect learners aimed to improve. The portability of mobile devices enabled learners to use MELR during short time intervals 1 , which suggests that MALL applications should target this behaviour. However, as a type of supplementary material, few students used MELR for more than one hour per day, and they were not regularly and actively involved in using MELR. Few learners were able to select suitable MELR to meet their current English learning needs, and they relied on recommendations from social media and authoritative education experts. Due to the importance of vocabulary, mobile dictionaries and vocabulary learning applications were the learners’ favourite type of MELR. As the participants suggested, enjoyment and interactivity were the two driving factors behind MELR selection and use. On the basis of Framework for the Rational Analysis of Mobile Education (FRAME, Koole, M. (2009). A model for framing mobile learning. In M. Ally (Ed.), Mobile learning: Transforming the delivery of education and training. Athabasca: Athabasca University Press, 25–47) and Technology Acceptance Model (TAM [Davis, F. D., (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. Management Information Systems, 13, 319–339]; TAM 2 [Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186–204]), a new theoretical model for better understanding the complex nature of mobile-assisted language learning (MALL) and the importance of learners in the self-directed, non-formal English language learning setting is proposed in this study.

Physician satisfaction with a critical care clinical information system using a multimethod evaluation of usability

IntroductionPhysician satisfaction with electronic medical records has often been poor. Usability has frequently been identified as a source for decreased satisfaction. While surveys can identify many issues, and are logistically easier to administer, they may miss issues identified using other methods This study sought to understand the level of physician satisfaction and usability issues associated with a critical care clinical information system (eCritical Alberta) implemented throughout the province of Alberta, Canada. MethodAll critical care attending physicians using the system were invited to participate in an online survey. Questions included components of the User Acceptance of Information Technology and Usability Questionnaire as well as free text feedback on system components. Physicians were also invited to participate in a think aloud test using simulated scenarios. The transcribed think aloud text and questionnaire were subjected to textual analysis. Results82% of all eligible physicians completed the on-line survey (n = 61). Eight physicians were invited and seven completed the think aloud test. Overall satisfaction with the system was moderate. Usability was identified as a significant factor contributing to satisfaction. The major usability factors identified were system response time and layout. The think aloud component identified additional factors beyond those identified in the on-line survey. ConclusionThis study found a modestly high level of physician satisfaction with a province-wide clinical critical care information system. Usability continues to be a significant factor in physician satisfaction. Using multiple methods of evaluation can capture the benefits of a large sample size and deeper understanding of the issues.

Analyzing Factors Influencing Behavior Intention to Use Snapchat and Instagram Stories

Snapchat, and Instagram are two social networks which recently gain their users after adopting such a feature called "Story" which allows a certain post to be disappeared after a certain time. This research takes up this technology trends analyzing the factors that probably affect the behavioral intention to use Snapchat and Instagram stories among generation Z. Factors are analyzed using Structural Equation Modeling, with basis model and variables from Technology Acceptance Model. Data collection was targeted to finished within 1 week using online questionnaire with respondent from Jakarta and Tangerang for 100 respondent that are using both Snapchat stories and Instagram Stories. There are two tools researcher usually use to analyze Structural Equation Modeling: SPSS AMOS and LISREL. In this research, researchers choose AMOS. From six hypothesis proposed for Snapchat analysis, four hypothesis is accepted, while the other two are rejected. Meanwhile, on Instagram Stories analysis, five hypothesis is accepted and one hypothesis is rejected. This study finds out the Social Presence is an exogenous variable which has a major role in affecting other variables. While Perceived Enjoyment influenced the behavioral intention to use Snapchat and Instagram Stories the most.
 Index Terms—Structural Equation Modeling, Technology Acceptance Model, influence, generation Z, Snapchat, Instagram
 REFERENCES
 [1] L. Chin and Z. Ahmad, "Perceived Enjoyment and Malaysian Consumers’ Intention to Use a Single Platform EPayment", SHS Web of Conferences, vol. 18, 2015.
 [2] M. Ariff, T. Shan, N. Zakuan, N. Ishak and M. Wahi, "Examining Users' E-Satisfaction in the Usage of Social Networking Sites; Contribution from Utilitarian and Hedonic Information Systems", IOP Conference Series: Materials Science and Engineering, vol. 58, 2014.
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Valoraciones de la “Aceptación de la Tecnología de Formación Virtual” por profesores universitarios asistentes a un curso de formación virtual

En esta investigación se describe la experiencia desarrollada con 24 profesores y profesoras universitarios de la Universidad Apec, en Santo Domingo (República Dominicana), con la finalidad de conocer el grado de aceptación de la formación virtual como metodología, después de participar en una acción formativa sobre dicha temática, a través del modelo TAM de Davis. Entre los resultados más relevantes destacamos que la percepción que tienen sobre la facilidad de uso y utilidad, la actitud hacia el uso y la relevancia de la misma en el desarrollo de su trabajo como docentes es muy positiva.

Healthcare Technology Self-Efficacy (HTSE) and its influence on individual attitude: An empirical study

Previous research on technology acceptance and adoption has established perceived self-efficacy as an important factor influencing user acceptance of information technologies. However, research on self-efficacy perceptions and its effect on user attitude in the context of health technologies is limited. This study identifies three self-efficacy factors that may be important for shaping individual attitude toward healthcare technologies. This research proposes a new context-specific self-efficacy factor, Healthcare Technology Self-Efficacy (HTSE) and a conceptual model incorporating HTSE and two existing self-efficacy factors, General Self-Efficacy (GSE) and Computer Self-Efficacy (CSE). The conceptual model is validated using a survey of 314 participants. We found that HTSE has a positive influence on attitude toward the use of health technologies. We also found that two existing self-efficacy constructs (GSE and CSE) have positive relationships with HTSE. However these two factors did not have any significant influence on attitude toward health technology use, contrary to our expectations. Rather, HTSE mediates the relationships between GSE and attitude and the relationship between CSE and attitude in the context of health technology use behavior. The results of this study have important implications for both research and practice in the healthcare technology domain.

User Acceptance of Information Technology: A Field Study of an E-Mail System Adoption from the Individual Students' Perspective

Today, students have adopted information technology in terms of emails through they are conveying their information from one place to another. This study has examined that how a set of constructs shape the information technology adoption. Depending on UTAUT model, the study has tested the effects of five constructs including the computer anxiety, performance expectancy, social influence, effort expectancy, and attitude towards the application and adoption of technology. It helped in examining the usage intention of electronic mail system (Outlook) among potential users. For this purpose, five hypotheses have been developed that were empirically validated using manually administered survey e-mail system at Dhofar University. To analyze the results, multiple linear regression analysis has been used. Data which has been collected from Dhofar university students is used, and the UTAUT model explicated 41% of the variance in students’ intention to use the e-mail system. The study has found that only three out of five constructs (effort expectancy, computer anxiety, and performance expectancy) have considerable effect on usage intentions of e-mail system of the students. Implications, suggestions, and limitations of study are also discussed. DOI: 10.5901/mjss.2015.v6n6s1p19

The intellectual core of enterprise information systems: a co-citation analysis

Enterprise information systems (EISs) have evolved in the past 20 years, attracting the attention of international practitioners and scholars. Although literature reviews and analyses have been conducted to examine the multiple dimensions of EISs, no co-citation analysis has been conducted to examine the knowledge structures involved in EIS studies; thus, the current study fills this research gap. This study investigated the intellectual structures of EISs. All data source documents (1083 articles and 24,090 citations) were obtained from the Institute for Scientific Information Web of Knowledge database. A co-citation analysis was used to analyse EIS data. By using factor analysis, we identified eight critical factors: (a) factors affecting the implementation and success of information systems (ISs); (b) the successful implementation of enterprise resource planning (ERP); (c) IS evaluation and success, (d) system science studies; (e) factors influencing ERP success; (f) case research and theoretical models; (g) user acceptance of information technology; and (h) IS frameworks. Multidimensional scaling and cluster analysis were used to visually map the resultant EIS knowledge. It is difficult to implement an EIS in an enterprise and each organisation exhibits specific considerations. The current findings indicate that managers must focus on ameliorating inferior project performance levels, enabling a transition from ‘vicious’ to ‘virtuous’ projects. Successful EIS implementation yields substantial organisational advantages.