References
- Adams, S. L., and Anantatmula, V. (2010). Social and behavioral influences on team process. Project Management Journal, 41(4), 89-98. https://doi.org/10.1002/pmj.20192
- AR Reports (2016). Augmented Reality Market Worth 117.40 Billion USD and Virtual Reality Market worth 33.90 Billion USD by 2022. [Online] https://www.linkedin.com/pulse/augmented-reality-market-worth-11740-billion-usd-virtual-samir-mane (accessed 20 September 2020)
- Aydin, G. (2019). Do personality traits and shopping motivations affect social commerce adoption intentions? Evidence from an emerging market. Journal of Internet Commerce, 18(4), 428-467. https://doi.org/10.1080/15332861. 2019.1668659
- Baabdullah, A. M., Alalwan, A. A., Rana, N. P., Kizgin, H., and Patil, P. (2019). Consumer use of mobile banking (M-Banking) in Saudi Arabia: Towards an integrated model. International Journal of Information Management, 44, 38-52. https://doi.org/10.1016/j.ijinfomgt.2018.09.002
- Barranis, N. J. (2011). Altering user perceptions of applications: How system design can impact playfulness and anxiety. Library and Information Science. Retrieved from http://hdl.handle.net/2142/24139
- Barrick, M. R., Mount, M. K., and Judge, T. A. (2001). Personality and performance at the beginning of the new millennium: What do we know and where do we go next? International Journal of Selection and Assessment, 9(1/2), 9-29. https://doi.org/10.1111/1468-2389.00160
- Chamorro-Premuzic, T., Furnham, A., and Lewis, M. (2007). Personality and approaches to learning predict preference for different teaching methods. Learning and Individual Differences, 17(3), 241-250. https://doi.org/10.1016/j.lindif.2006.12.001
- Cheng, C. M., and Chen, L. J. (2007). A study on the knowledge sharing of health technology for technological college students' mobile learning. International Journal of Education and Information Technologies, 1(1), 24-29.
- Chin, W. W. (2003). Issues and opinions on structural equation modeling. MIS Quarterly, 22(1), 7-16.
- Clark, A. M., and Clark, M. T. G. (2016). Pokemon Go and research qualitative, mixed methods research, and the super complexity of interventions. International Journal of Qualitative Methods, 15(1), 1-3. https://doi.org/10.1177/1609406916667765
- Compeau, D. R., and Higgins, C. A. (1995). Computer self-efficacy: Development of a measure and initial test. MIS Quarterly, 19(2), 189-211. https://doi.org/10.2307/249688
- Costa, P. T., and McCrae, R. R. (1992). Four ways five factors are basic. Personality and Individual Differences, 13(6), 653-665. https://doi.org/10.1016/0191-8869(92)90236-I
- Craig, A. B. (2013). Understanding augmented reality: Concepts and applications. In Morgan Kaufmann (pp. 1-39). MA: Elsevier Inc.
- Creswell, J. W. (2014). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches (4th ed.). California: SAGE Publications.
- Dash, G., and Paul, J. (2021). CB-SEM vs PLS-SEM methods for research in social sciences and technology forecasting. Technological Forecasting and Social Change, 173, 121092. https://doi.org/10.1016/j.techfore.2021.121092
- Daugherty, T., Djuric, V., Li, H., and Leckenby, J. (2017). Establishing a paradigm: A systematic analysis of interactive advertising research. Journal of Interactive Advertising, 17(1), 65-78. https://doi.org/10.1080/15252019.2017.1326755
- Davis, F. D. (1989). PU, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340.
- Davis, F. D., Bagozzi, R. P., and Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 903-1028. https://doi.org/10.1287/mnsc.35.8.982
- Davis, F. D., Bagozzi, R. P., and Warshaw, P. R. (1992). Extrinsic and intrinsic motivation to use computers in the workplace. Journal of Applied Social Psychology Banner, 22(14), 1111-1132. https://doi.org/10.1111/j.1559-1816.1992.tb00945.x
- Devaraj, S., Easley, R. F., and Crant, J. M. (2008). Research note-how does personality matter? Relating the five-factor model to technology acceptance and use. Information Systems Research, 19(1), 93-105. https://doi.org/10.1287/isre.1070.0153
- Digman, J. M. (1990). Personality structure: Emergence of the five-factor model. Annual Review of Psychology, 41, 417-440. https://doi.org/10.1146/annurev.ps.41.020190.002221
- Dishaw, M. T., and Strong, D. M. (1999). Extending the technology acceptance model with task-technology fit constructs. Information and Management, 36(1), 9-21. https://doi.org/10.1016/S0378-7206(98)00101-3
- Dwivedi, Y. K., Shareef, M. A., Simintiras, A. C., Lal, B., and Weerakkody, V. (2016). A generalised adoption model for services: A cross-country comparison of mobile health (mhealth). Government Information Quarterly, 33(1), 174-187. https://doi.org/10.1016/j.giq.2015.06.003
- Extremera, N., and Fernandez-Berrocal, P. (2005). Perceived emotional intelligence and life satisfaction: Predictive and incremental validity using the Trait Meta-Mood Scale. Personality and Individual Differences, 39(5), 937-948. https://doi.org/10.1016/j.paid.2005.03.012
- Fielding, K. S., McDonald, R., and Louis, W. R. (2008). Theory of planned behaviour, identity and intentions to engage in environmental activism. Journal of Environmental Psychology, 28(4), 318-326. https://doi.org/10.1016/j.jenvp.2008.03.003
- Fisher, R. (2020). The surprising downsides of empathy, Retrieved from https://www.bbc.com/future/article/20200930-can-empathy-be-bad-for-you
- Fornell, C., and Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(3), 39-50. https://doi.org/10.2307/3151312
- Fox, E. (2002). Processing emotional facial expressions: The role of anxiety and awareness. Cognitive, Affective, and Behavioral Neuroscience, 2(1), 52-63. https://doi.org/10.3758/cabn.2.1.52
- Gartner Article (2016). Hype Cycle for Emerging Technologies, Retrieved from http://www.gartner.com/newsroom/id/3412017
- Gefen, D., Straub, D., and Boudreau, M. (2000). Structural equation modeling and regression: guidelines for research practice. Communications of the Association of Information Systems, 4(7), 1-79. https://doi. org/10.17705/1CAIS.00407
- George, J. M., and Zhou, J. (2001). When openness to experience and conscientiousness are related to creative behavior: An interactional approach. Journal of Applied Psychology, 86(3), 513-524. https://doi.org/10.1037/0021-9010.86.3.513
- Gohm, C. L., Corser, G. C., and Dalsky, D. J. (2005). Emotional intelligence under stress: Useful, unnecessary, or irrelevant? Personality and Individual Differences, 39(6), 1017-1028. https://doi.org/10.1016/j.paid.2005.03.018
- Goldberg, L. R. (1990). An alternative "description of personality": The Big-Five factor structure. Journal of Personality and Social Psychology, 59(6), 1216-1229. https://doi.org/10.1037/0022-3514.59.6.1216
- Gong, M., Xu, Y., and Yu, Y. (2005). An enhanced technology acceptance model for web-based learning. Journal of Information Systems Education, 15(4), 365-373.
- Gupta, S., and Shrivastava, M. (2022). Herding and loss aversion in stock markets: mediating role of fear of missing out (FOMO) in retail investors. International Journal of Emerging Markets, 17(7), 1720-1737. https://doi.org/10.1108/IJOEM-08-2020-0933
- Ha, S., and Stoel, L. (2009). Consumer e-shopping acceptance: Antecedents in a technology acceptance model. Journal of Business Research, 62(5), 565-571. https://doi.org/10.1016/j.jbusres.2008.06.016
- Hair, J. F., Black, W. C., Babin, B. J., and Anderson, R. E. (2013). Multivariate Data Analysis (7th ed). London: Pearson Education Limited.
- Henseler, J., Ringle, C. M., and Sinkovics, R. R. (2009). The use of partial least squares path modeling in international marketing. In R. R. Sinkovics, and P. N. Ghauri (Eds.), New Challenges to International Marketing (Vol. 20, pp. 277-319). Bingley: Emerald Group Publishing Limited.
- Hill, T., Smith, N. D., and Mann, M. F. (1987). Role of efficacy expectations in predicting the decision to use advanced technologies: The case of computers. Journal of Applied Psychology, 72(2), 307-313. https://doi.org/10.1037/0021-9010.72.2.307
- Hong, S. J., Thong, J. Y. L., and Tam, K. Y. (2006). Understanding continued information technology usage behavior: A comparison of three models in the context of mobile internet. Decision Support Systems, 42(3), 1819-1834. https://doi.org/10.1016/j.dss.2006.03.009
- Hsu, M. K., Wang, S. W., and Chiu, K. K. (2009). Computer attitude, statistics anxiety and self-efficacy on statistical software adoption behavior: An empirical study of online MBA learners. Computers in Human Behavior, 25(2), 412-420. https://doi.org/10.1016/j.chb.2008.10.003
- Huang, T. L., and Liao, S. (2014). A model of acceptance of augmented-reality interactive technology: The moderating role of cognitive innovativeness. Electronic Commerce Research, 15(2), 269-295.
- Huang, L., Zhang, J., and Liu, Y. (2017). Antecedents of student MOOC revisit intention: Moderation effect of course difficulty. International Journal of Information Management, 37(2), 84-91. https://doi.org/10.1016/j.ijinfomgt.2016.12.002
- Javornik, A. (2016). Augmented reality: Research agenda for studying the impact of its media characteristics on consumer behaviour. Journal of Retailing and Consumer Services, 30, 252-261. https://doi.org/10.1016/j.jretconser.2016.02.004
- Jeong, H. I., and Kim, Y. (2017). The acceptance of computer technology by teachers in early childhood education. Interactive Learning Environments, 25(4), 496-512. https://doi.org/10.1080/10494820.2016.1143376
- John, O. P. (1990). The "Big Five" factor taxomony: Dimensions of personality in the natural language and questionnaires. In L. A. Pervin (Eds.), Handbook of Personality: Theory and Research (pp. 66-100). New York: Guilford Press.
- Jung, T., Chung, N., and Leue, M. C. (2015). The determinants of recommendations to use augmented reality technologies: The case of a Korean theme park. Tourism Management, 49, 75-86. https://doi.org/10.1016/j.tourman.2015.02.013
- Jung, T. H., and tom Dieck, M. C. (2017). Augmented reality, virtual reality and 3D printing for the co-creation of value for the visitor experience at cultural heritage places. Journal of Place Management and Development, 10(2), 140-151. https://doi.org/10.1108/JPMD-07-2016-0045
- Julier, S., King, R., Colbert, B., Durbin, J., and Rosenblum, L. (1999). The software architecture of a real-time battlefield visualization virtual environment. In Virtual Reality, 1999 Proceedings IEEE (pp. 29-36).
- Kang, J. Y. M. (2014). Augmented reality and motion capture apparel e-shopping values and usage intention. International Journal of Clothing Science and Technology, 26(6), 486-499. https://doi.org/10.1108/IJCST-05-2013-0055
- Karahanna, E., and Straub, D. W. (1999). The psychological origins of PU and ease-of-use. Information and Management, 35(4), 237-250. https://doi.org/10.1016/S0378-7206(98)00096-2
- Keeton, K. E. (2008). An Extension of the UTAUT Model: How Organizational Factors and Individual Differences Influence Technology Acceptance. Texas: University of Houston.
- Keil, M., Beranek, P. M., and Konsynski, B. R. (1995). Usefulness and ease of use: field study evidence regarding task considerations. Decision Support Systems, 13(1), 75-91. https://doi.org/10.1016/0167-9236(94)E0032-M
- Kim, J., and Forsythe, S. (2008). Adoption of Virtual Try on technology for online apparel shopping. Journal of Interactive Marketing, 22(2), 45-59. https://doi.org/10.1002/dir.20113
- Kim, H. B., Kim, T., and Shin, S. W. (2009). Modeling roles of subjective norms and eTrust in customers' acceptance of airline B2C eCommerce websites. Tourism Management, 30(2), 266-277. https://doi.org/10.1016/j.tourman.2008.07.001
- Kim, Y., Choi, J., Park, Y., and Yeon, J. (2016). The adoption of mobile payment services for "Fintech". International Journal of Applied Engineering Research, 11(2), 1058-1061.
- King, W. R., and He, J. (2006). A meta-analysis of the technology acceptance model. Information and Management, 43(6), 740-755. https://doi.org/10.1016/j.im.2006.05.003
- Krevelen, D. V., and Poelman, R. (2017). Augmented Reality: Technologies, Applications, and Limitations. Amsterdam: VU University Amsterdam.
- Kulviwat, S., Bruner, G. C., Kumar, A., Nasco, S. A., and Clark, T. (2007). Toward a unified theory of consumer acceptance technology. Psychology and Marketing, 24(12), 1059-1084. https://doi.org/10.1002/mar.20196
- Kuo, Y. F., and Yen, S. N. (2009). Towards an understanding of the behavioral intention to use 3G mobile value-added services. Computers in Human Behavior, 25(1), 103-110. https://doi.org/10.1016/j.chb.2008.07.007
- Kurbanoglu, S. S., Akkoyunlu, B., and Umay, A. (2006). Developing the information literacy self efficacy scale. Journal of Documentation, 62(6), 730-743. https://doi.org/10.1108/00220410610714949
- Lee, M. C. (2009). Factors influencing the adoption of internet banking: An integration of TAM and TPB with perceived risk and perceived benefit. Electronic Commerce Research and Applications, 8(3), 130-141. https://doi.org/10.1016/j.elerap.2008.11.006
- Legris, P., Ingham, J., and Collerette, P. (2003). Why do people use information technology? A critical review of the technology acceptance model. Information and Management, 40(3), 191-204. https://doi.org/10.1016/S0378-7206(01)00143-4
- Lopez-Nicolas, C., Molina-Castillo, F. J., and Bouwman, H. (2008). An assessment of advanced mobile services acceptance: Contributions from TAM and diffusion theory models. Information and Management, 45(6), 359-364. https://doi.org/10.1016/j.im.2008.05.001
- Mahapatra, S., and Mahapatra, S. S. (2010). Customer experience management through emotional connection: an Indian perspective. International Journal of Indian Culture and Business Management, 3(3), e.333.
- Martinez, C. A., and Cruz, A. B. (2005). Emotion recognition in non-structured utterances for human-robot interaction. In IEEE International Workshop on Robot and Human Interactive Communication.
- McCrae, R. R. (1987). Creativity, divergent thinking and openness to experience. Journal of Personality and Social Psychology, 52(6), 1258-1265. https://doi.org/10.1037/0022-3514.52.6.1258
- Morrison, S., and Crane, F. G. (2007). Building the service brand by creating and managing an emotional brand experience. Journal of Brand Management, 14(5), 410-421. https://doi.org/10.1057/palgrave.bm.2550080
- Mugge, R., Schoormans, J. P. L., and Schifferstein, H. N. J. (2009). Emotional bonding with personalised products. Journal of Engineering Design, 20(5), 467-476. https://doi.org/10.1080/09544820802698550
- Muliyani, D., Phua, L. K., Teh, S. Y., and Lim, T. C. (2021). Obstacles to accounting information system performance in Indonesian public sector. Global Business and Management Research, 13(4), 38-49.
- Nawi, C. N., Mamun, A. A., Hayat, N., and Seduram, L. (2022). Promoting sustainable financial services through the adoption of ewallet among Malaysian working adults. SAGE Open, 12(1), 1-15.
- Parker J. D. A., Taylor G. J., and Bagby R. M. (1993). Alexithymia and the Recognition of Facial Expressions of emotion. Psychotherapy and Psychosomatics, 59(3-4), 197-202. https://doi.org/10.1159/000288664
- Payne, S. C., Youngcourt, S. S., and Beaubien, J. M. (2007). Ameta-analytic examination of the goal orientation nomological net. The Journal of Applied Psychology, 92, 128-150. https://doi.org/10.1037/0021-9010.92.1.128
- Pedersen, I., and Simcoe, L. (2012). The iron man phenomenon, participatory culture, and future augmented reality technologies. In Proceeding CHI EA '12 CHI '12 Extended Abstracts on Human Factors in Computing Systems (pp. 291-300).
- Pessoa, L. (2005). To what extent are emotional visual stimuli processed without attention and awareness? Current Opinion in Neurobiology, 15(2), 188-196. https://doi.org/10.1016/j.conb.2005.03.002
- Petrides, K. V., and Furnham, A. (2001). Trait emotional intelligence: Psychometric investigation with reference to established trait taxonomies. European Journal of Personality, 15(6), 425-448. https://doi.org/10.1002/per.416
- Petrides, K. V., Frederickson, N., and Furnham, A. (2004). The role of trait emotional intelligence in academic performance and deviant behavior at school. Personality and Individual Differences, 36(2), 277-293. https://doi.org/10.1016/S0191-8869(03)00084-9
- Petrides, K. V. and Furnham, A. (2006). The role of trait emotional intelligence in a gender-specific model of organizational variables. Journal of Applied Social Psychology, 36, 552-569. https://doi.org/10.1111/j.0021-9029.2006.00019.x
- Petrides, K. V., Pita, R., and Kokkinaki, F. (2010). The location of trait emotional intelligence in personality factor space. British Journal of Psychology, 98(2), 273-289. https://doi.org/10.1348/000712606X120618
- Phares, V. (1997). Psychological adjustment, maladjustment, and father-child relationships. In M. E. Lamb (Ed.), The role of the father in child development. Hoboken, NJ, US: John Wiley and Sons Inc.
- Preece, J., Rogers, Y., and Sharp, H. (2015). Interaction Design: Beyond Human-Computer Interaction. Wiley Publishing.
- Qualter, P., Gardner, K. J., and Whiteley, H. E. (2007). Emotional intelligence: Review of research and educational implications. Pastoral Care in Education: An International Journal of Personal, Social and Emotional Development, 25(1), 11-20. https://doi.org/10.1111/j.1468-0122.2007.00395.x
- Ramayah, T., Cheah, J., Chuah, F., Ting, H., and Memon, M. A. (2018). Partial Least Squares Structural Equation Modeling (PLS-SEM) Using SmartPLS3.0: An Updated and Practical Guide to Statistical Analysis (2nd ed.). Kuala Lumpur: Pearson.
- Rese, A., Baier, D., Geyer-Schulz, A., and Schreiber, S. (2017). How augmented reality apps are accepted by consumers: A comparative analysis using scales and opinions. Technological Forecasting and Social Change, 124, 306-319. https://doi.org/10.1016/j.techfore.2016.10.010
- Rese, A., Schreiber, S., and Baier, D. (2014). Technology acceptance modeling of augmented reality at the point of sale: Can surveys be replaced by an analysis of online reviews? Journal of Retailing and Consumer Services, 21(5), 869-876. https://doi.org/10.1016/j.jretconser.2014.02.011
- Riggio, R. E. (2010). Before Emotional Intelligence: Research on Nonverbal, Emotional, and Social Competences. Industrial and Organizational Psychology, 3(2), 178-182. https://doi.org/10.1111/j.1754-9434.2010.01221.x
- Ringle, C. M., Wende, S., and Becker, J. M. (2022). "SmartPLS 4." Oststeinbek: SmartPLS GmbH, Retrieved from http://www.smartpls.com
- Rosen, P. A., and Kluemper, D. H. (2008). The impact of the big five personality traits on the acceptance of social networking website. In AMCIS 2008 Proceedings.
- Ross, H. F., and Harrison, T. (2016). Augmented reality apparel: An appraisal of consumer knowledge, attitude and behavioral intentions. In 2016 49th Hawaii International Conference on System Sciences (HICSS).
- Ruiz-Ariza, A., Casuso, R. A., Suarez-Manzano, S., Martinez-Lopez, E. J. (2018). Effect of augmented reality game Pokemon GO on cognitive performance and emotional intelligence in adolescent young. Computers and Education, 116, 49-63. https://doi.org/10.1016/j.compedu.2017.09.002
- Sabi, H. M., Uzoka, F-M. E., Langmia, K., and Njeh, F. N. (2016). Conceptualizing a model for adoption of cloud computing in education. International Journal of Information Management, 36(2), 183-191. https://doi. org/10.1016/j.ijinfomgt.2015.11.010
- Saklofske, D. H., Austin, E. J., Rohr, B. A., and Andrews, J. J. W. (2007). Personality, Emotional Intelligence and Exercise. Journal of Health Psychology, 12(6), 937-948. https://doi.org/10.1177/1359105307082458
- Salovey, P., Stroud, L. R., Woolery, A., and Epel, E. S. (2002). Perceived emotional intelligence, stress reactivity, and symptom reports: Further explorations using the trait meta-mood scale. Psychology and Health, 17(5), 611-627. https://doi.org/10.1080/08870440290025812
- Scholz, J., and Smith, N. A. (2016). Augmented reality: Designing immersive experiences that maximize consumer engagement. Business Horizons, 59(2), 149-161. https://doi.org/10.1016/j.bushor.2015.10.003
- Schwartz, A. M. (2011). Augmenting purchase intent: An empirical study on the effects of utilizing augmented reality in online shopping. SSRN Electronic Journal.
- Segars, A. H., and Grover, V. (1993). Re-examining perceived ease of use and usefulness: A confirmatory factor analysis. MIS Quarterly, 17(4), 517-525. https://doi.org/10.2307/249590
- Shih, Y., and Fan, S. (2013). Adoption of instant messaging by travel agency workers in Taiwan: Integrating technology readiness with the theory of planned behavior. International Journal of Business and Information, 8(1), 120-136.
- Sung, J., and Cho, K. (2012). User experiences with augmented reality advertising applications: Focusing on perceived values and telepresence based on the experiential learning theory. In Human Centric Technology and Service in Smart Space (pp. 9-15).
- Synodinos, C., Price, D. G., and Bevan-Dye, A. L. (2017). Antecedents of mobile gaming brand loyalty amongst South African generation y students: pilot test results. In The Global Business and Technology Association (pp. 924-931).
- Taylor, S., and Todd, P. A. (1995). Understanding information technology usage: A test of competing models. Information Systems Research, 6(2), 144-176. https://doi.org/10.1287/isre.6.2.144
- Terzis, V., Moridis, C. N., and Economides, A. A. (2012). How student's personality traits affect computer based assessment acceptance: Integrating BFI with CBAAM. Computers in Human Behavior, 28, 1985-1996 https://doi.org/10.1016/j.chb.2012.05.019
- Teo, A. C., Tan, G. W., Cheah, C.M., Ooi, K. B., and Yew, K. T. (2012). Can the demographic and subjective norms influence the adoption of mobile banking? International Journal of Mobile Communications, 10(6), e.578. https://doi.org/10.1504/IJMC.2012. 049757
- Venkatesh, V., and Davis, F. D. (2000). A Theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186-204. https://doi.org/10.1287/mnsc.46.2.186.11926
- Venkatesh, V. (2000). Determinants of perceived ease of use: Integrating control, intrinsic motivation, and emotion into the technology acceptance model. Information Systems Research, 11(4), 342-365. https://doi.org/10.1287/isre.11.4.342.11872
- Watson, D., and Clark, L. A. (1997). Extraversion and Its Positive Emotional Core. San Diego: Academic Press.
- Whalen, P. J., Rauch, S. L., Etcoff, N. L., McInerney, S. C., Lee, M. B., and Jenike, M. A. (1998). Masked presentations of emotional facial expressions modulate amygdala activity without explicit knowledge. Journal of Neuroscience, 18(1), 411-418. https://doi.org/10.1523/JNEUROSCI.18-01-00411.1998
- White, B. (2022). Anxiety, Depression, and the Cortisol Awakening Response, Retrieved from https://hormonelab.co.uk/es/blogs/blog/anxiety-depression-and-the-cortisol-awakening-response
- Williams, M. D., Dwivedi, Y. K., Lal, B., and Schwarz, A. (2009). Contemporary trends and issues in IT adoption and diffusion research. Journal of Information Technology, 24(1), 1-10. https://doi.org/10.1057/jit.2008.30
- Wojciechowski, R., and Cellary, W. (2013). Evaluation of learners' attitude toward learning in ARIES augmented reality environments. Computers and Education, 68(4), 570-585. https://doi.org/10.1016/j.compedu.2013.02.014
- Wrzesien, M., Burkhardt, J. M., Raya, M. A., and Botella, C. (2011). Mixing psychology and HCI in evaluation of augmented reality mental health technology. In CHI'11 Extended Abstracts on Human Factors in Computing Systems (pp. 2119-2124).
- Wu, W., Lan, L. W., and Lee, Y. T. (2011). Exploring decisive factors affecting an organization's SaaS adoption: A case study. International Journal of Information Management, 31(6), 556-563. https://doi.org/10.1016/j.ijinfomgt.2011.02.007
- Wu, J. H., and Wang, S. C. (2005). What drives mobile commerce?: An empirical evaluation of the revised technology acceptance model. Information and Management, 42(5), 719-729. https://doi.org/10.1016/j.im.2004.07.001
- Yang, K., and Jolly, L. D. (2009). The effects of consumer perceived value and subjective norm on mobile data service adoption between American and Korean consumers. Journal of Retailing and Consumer Services, 16(6), 502-508. https://doi.org/10.1016/j.jretconser.2009.08.005
- Yang, H. D., and Yoo, Y. (2004). It's all about attitude: revisiting the technology acceptance model. Decision Support Systems, 38, 19-31. https://doi.org/10.1016/S0167-9236(03)00062-9
- Yaoyuneyong, G., Foster, J., Johnson, E., and Johnson, D. (2016). Augmented reality marketing: Consumer preferences and attitudes toward hypermedia print ads. Journal of Interactive Advertising, 16(1), 16-30. https://doi.org/10.1080/15252019.2015.1125316
- Yusoff, Y. M., Muhammad, Z., Zahari, M.S.M., Pasah, E. S. and Robert, E. (2009), Individual differences, perceived ease of use and PU in the e library usage. Computer and Information Science, 2(1), 76-83.
- Zamanzadeh, V., Ghahramanian, A., Rassouli, M., Abbaszadeh, A., Alavi-Majd, H., and Nikanfar, A. R. (2015). Design and implementation content validity study: Development of an instrument for measuring Patient-Centered Communication. Journal of Caring Sciences, 4(2), 165-178. https://doi.org/10.15171/jcs.2015.017
- Zhang, X., Han, X., Dang, Y., Meng, F., Guo, X., and Lin, J. (2017). User acceptance of mobile health services from users' perspectives: The role of self-efficacy and response-efficacy in technology acceptance. Informatics for Health and Social Care, 42(2), 194-206. https://doi.org/10.1080/17538157.2016.1200053
- Zhang, X., and Yuk, H. P. (1998). Determinants of Hong Kong manufacturing investment in China: A survey. Marketing Intelligence and Planning, 16(4), 260-267. https://doi.org/10.1108/02634509810224446
- Zhu, D. S., Lin, T. C., and Hsu, Y. C. (2012). Using the technology acceptance model to evaluate user attitude and intention of use for online games. Journal Total Quality Management and Business Excellence, 23(7-8), 965-980. https://doi.org/10.1080/14783363.2012.704269
- Ziefle, M. (2002). The influence of user expertise and phone complexity on performance, ease of use and learnability of different mobile phones. Behaviour and Information Technology, 21(5), 303-311. https://doi.org/10.1080/0144929021000048538