Determinants of mobile apps adoption among young adults: theoretical extension and analysis

References

• Agarwal, R., and J. Prasad. 2000. “A Field Study of the Adoption of Software Process Innovations by Information Systems Professionals.” IEEE Transactions on Engineering Management 47 (3): 295–308. doi:10.1109/17.865899.
   Web of Science ®Google Scholar
• Ajzen, I., and M. Fishbein. 1980. Understanding Attitudes and Predicting Social Behavior, 278. Englewood Cliffs, NJ: Prentice-Hall.
   Google Scholar
• Amin, H., M. R. A. Hamid, S. Lada, and Z. Anis. 2008. “The Adoption of Mobile Banking in Malaysia: The Case of Bank Islam Malaysia Berhad (BIMB).” International Journal of Business and Society 9 (2): 43–53.
   Google Scholar
• Antioco, M., and M. Kleijnen. 2010. “Consumer Adoption of Technological Innovations.” European Journal of Marketing 44 (11/12): 1700–1724. doi:10.1108/03090561011079846.
   Web of Science ®Google Scholar
• App Annie. 2017. “Smartphone Users in India Spend 4 Hours on Apps Everyday: App Annie.” November 18. http://www.bgr.in/news/smartphone-users-in-india-spend-4-hours-on-apps-everyday-app-annie/
   Google Scholar
• Arbaugh, J. B., and R. Duray. 2002. “Technological and Structural Characteristics, Student Learning and Satisfaction with Web-based Courses an Exploratory Study of Two On-line MBA Programs.” Management Learning 33 (3): 331–347. doi:10.1177/1350507602333003.
   Web of Science ®Google Scholar
• Armitage, C. J., and M. Conner. 2001. “Efficacy of the Theory of Planned Behaviour: A Meta‐analytic Review.” British Journal of Social Psychology 40 (4): 471–499. doi:10.1348/014466601164939.
   PubMed Web of Science ®Google Scholar
• Atkinson, N. L. 2007. “Developing a Questionnaire to Measure Perceived Attributes of eHealth Innovations.” American Journal of Health Behavior 31 (6): 612–621. doi:10.5993/AJHB.31.6.6.
   PubMed Web of Science ®Google Scholar
• Banda, L. S. 2011. “What are the Main Determinants for the Attitude to Use Mobile Phone Application in Suriname?” Unpublished master’s thesis. Maastricht School of Management, Netherlands.
   Google Scholar
• Bandura, A. 1986. “The Explanatory and Predictive Scope of Self-efficacy Theory.” Journal of Social and Clinical Psychology 4 (3): 359–373. doi:10.1521/jscp.1986.4.3.359.
   Web of Science ®Google Scholar
• Bandura, A., L. Reese, and N. E. Adams. 1982. “Microanalysis of Action and Fear Arousal as a Function of Differential Levels of Perceived Self-efficacy.” Journal of Personality and Social Psychology 43 (1): 5. doi:10.1037/0022-3514.43.1.5.
   PubMed Web of Science ®Google Scholar
• Bizs Point. 2017. “Mobile Application Services in India. Bizspoint.com.” November 24 http://www.bizspoint.com/mobile-application.html
   Google Scholar
• Chan, T. C. 2005. “A Study of the Adoption E-learning Factors on Taiwan.” M.S. Thesis. Chaoyang University of Technology, Taiwan.
   Google Scholar
• Chang, S. C., and F. C. Tung. 2008. “An Empirical Investigation of Students’ Behavioural Intentions to Use the Online Learning Course Websites.” British Journal of Educational Technology 39 (1): 71–83.
   Web of Science ®Google Scholar
• Chau, P. Y. 2001. “Influence of Computer Attitude and Self-efficacy on IT Usage Behavior.” Journal of Organizational and End User Computing 13 (1): 26–33. doi:10.4018/JOEUC.
   Google Scholar
• Chen, L. -D., M. L. Gillenson, and D. L. Sherrell. 2002. Enticing Online Consumers: An Extended Technology Acceptance Perspective. Information & Management 39 (8): 705–719. doi:10.1016/S0378-7206(01)00127-6.
   Web of Science ®Google Scholar
• Chen, X., D. Tao, and Z. Zhou. 2019. “Factors Affecting Reposting Behaviour Using a Mobile Phone-based User-generated-content Online Community Application among Chinese Young Adults.” Behavior & Information Technology 38 (2): 120–131.
   Web of Science ®Google Scholar
• Childers, T. L., C. L. Carr, J. Peck, and S. Carson. 2001. “Hedonic and Utilitarian Motivations for Online Retail Shopping Behaviour.” Journal of Retailing 77: 511–535. doi:10.1016/S0022-4359(01)00056-2.
   Web of Science ®Google Scholar
• Claudy, M. C., R. Garcia, and A. O’Driscoll. 2015. “Consumer Resistance to Innovation—a Behavioral Reasoning Perspective.” Journal of the Academy of Marketing Science 43 (4): 528–544. doi:10.1007/s11747-014-0399-0.
   Web of Science ®Google Scholar
• Cruz, P., L. B. F. Neto, P. Muñoz-Gallego, and T. Laukkanen. 2010. “Mobile Banking Rollout in Emerging Markets: Evidence from Brazil.” International Journal of Bank Marketing 28 (5): 342–371. doi:10.1108/02652321011064881.
   Google Scholar
• Dasgupta, S., R. Paul, and S. Fuloria. 2011. “Factors Affecting Behavioral Intentions Towards Mobile Banking Usage: Empirical Evidence from India.” Romanian Journal of Marketing 1: 6–28.
   Google Scholar
• Davis, F. D. 1989. “Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology.” MIS Quarterly 13 (3): 319–340. doi:10.2307/249008.
   Web of Science ®Google Scholar
• Davis, F. D., R. P. Bagozzi, and P. R. Warshaw. 1989. “User Acceptance of Computer Technology: A Comparison of Two Theoretical Models.” Management Science 35 (8): 982–1003. doi:10.1287/mnsc.35.8.982.
   Web of Science ®Google Scholar
• Davis, F. D., R. P. Bagozzi, and P. R. Warshaw. 1992. “Extrinsic and Intrinsic Motivation to Use Computers in the Workplace.” Journal of Applied Social Psychology 22 (14): 1111–1132. doi:10.1111/jasp.1992.22.issue-14.
   Web of Science ®Google Scholar
• Euromonitor 2018. “Generation Z: The Next Wave of Consumers.” Accessed 1 June 2018. http://www.portal.euromonitor.com.ezproxy.mdx.ac.uk/portal/analysis/tab/
   Google Scholar
• Fang, E., R. W. Palmatier, and K. R. Evans. 2008. “Influence of Customer Participation on Creating and Sharing of New Product Value.” Journal of the Academy of Marketing Science 36 (3): 322–336. doi:10.1007/s11747-007-0082-9.
   Web of Science ®Google Scholar
• Freestone, O., and V. W. Mitchell. 2004. “Generation Y Attitudes Towards E-ethics and Internet Related Misbehaviours.” Journal of Business Ethics 54 (2): 21–28. doi:10.1007/s10551-004-1571-0.
   Web of Science ®Google Scholar
• Gangwar, H., H. Date, and R. Ramaswamy. 2015. “Understanding Determinants of Cloud Computing Adoption Using an Integrated TAM-TOE Model.” Journal of Enterprise Information Management 28 (1): 107–130. doi:10.1108/JEIM-08-2013-0065.
   Web of Science ®Google Scholar
• Gist, M. E., and T. R. Mitchell. 1992. “Self-efficacy: A Theoretical Analysis of Its Determinants and Malleability.” Academy of Management Review 17 (2): 183–211. doi:10.5465/amr.1992.4279530.
   Web of Science ®Google Scholar
• Hair, J. F., R. E. Anderson, R. L. Tatham, and W. C. Black. 2006. Multivariate Data Analysis. 4th ed. New York: Prentice-Hall International.
   Google Scholar
• Hardgrave, B., F. Davis, and C. Riemenschneider. 2003. “Investigating Determinants of Software Developers’ Intentions to Follow Methodologies.” Journal of Management Information Systems 20 (1): 123–151.
   Web of Science ®Google Scholar
• Höflich, J. R., and P. Rössler. 2001. “Mobile Written Communication Or: E-mail for the Mobile. The Importance of Electronic Short Messages (Short Message Service) Using the Example of Young Mobile Phone Users.” M & K Media & Communication Science 49 (4): 437–461.
   Google Scholar
• Hsiao, C. H., J. J. Chang, and K. Y. Tang. 2016. “Exploring the Influential Factors in Continuance Usage of Mobile Social Apps: Satisfaction, Habit, and Customer Value Perspectives.” Telematics and Informatics 33 (2): 342–355. doi:10.1016/j.tele.2015.08.014.
   Web of Science ®Google Scholar
• Huang, G. H., and N. Korfiatis. 2015. “Trying before Buying: The Moderating Role of Online Reviews in Trial Attitude Formation toward Mobile Applications.” International Journal of Electronic Commerce 19 (4): 77–111. doi:10.1080/10864415.2015.1029359.
   Web of Science ®Google Scholar
• Huang, L. Y. 2004. “A Study about the Key Factors Affecting Users to Accept Chunghwa Telecom’s Multimedia on Demand.” Unpublished Master Thesis. National Sun Yat-Sen University, Taiwan.
   Google Scholar
• Huang, M. H., and R. T. Rust. 2017. “Technology-driven Service Strategy.” Journal of the Academy of Marketing Science 45 (6): 906–924. doi:10.1007/s11747-017-0545-6.
   Web of Science ®Google Scholar
• Jang, S., and J. Chung. 2015. “How Do Interaction Activities among Customers and between Customers and Firms Influence Market Performance and Continuous Product Innovation? an Empirical Investigation of the Mobile Application Market.” Journal of Product Innovation Management 32 (2): 183–191. doi:10.1111/jpim.2015.32.issue-2.
   Web of Science ®Google Scholar
• Jayasingh, S., and U. C. Eze. 2009. “An Empirical Analysis of Consumer Behavioural Intention Towards Mobile Coupons in Malaysia.” International Journal of Business and Information 4: 2.
   Google Scholar
• Kannan, P. K., and H. Li. 2017. “Digital Marketing: A Framework, Review and Research Agenda.” International Journal of Research in Marketing 34 (1): 22–45. doi:10.1016/j.ijresmar.2016.11.006.
   Web of Science ®Google Scholar
• Karahanna, E., D. W. Straub, and N. L. Chervany. 1999. “Information Technology Adoption across Time: A Cross-sectional Comparison of Pre-adoption and Post-adoption Beliefs.” MIS Quarterly. 23 (2): 183–213. doi:10.2307/249751.
   Web of Science ®Google Scholar
• Keith, M. J., J. S. Babb Jr, C. P. Furner, and A. Abdullat. 2011. “The Role of Mobile Self-efficacy in the Adoption of Location-based Applications: An iPhone Experiment.” System Sciences (HICSS), 2011 44th Hawaii International Conference, Hawaii, 1–10. IEEE.
   Google Scholar
• Kim, H. W., A. Kankanhalli, and H. L. Lee. 2016. “Investigating Decision Factors in Mobile Application Purchase: A Mixed-methods Approach.” Information & Management 53 (6): 727–739. doi:10.1016/j.im.2016.02.011.
   Web of Science ®Google Scholar
• Kim, S. C., D. Yoon, and E. K. Han. 2014. “Antecedents of Mobile App Usage among Smartphone Users.” Journal of Marketing Communications 22 (6): 653–670. doi:10.1080/13527266.2014.951065.
   Google Scholar
• Koenig-Lewis, N., A. Palmer, and A. Moll. 2010. “Predicting Young Consumers’ Take-up of Mobile Banking Services.” International Journal of Bank Marketing 28 (5): 410–432. doi:10.1108/02652321011064917.
   Google Scholar
• Kunz, W., L. Aksoy, Y. Bart, K. Heinonen, S. Kabadayi, F. V. Ordenes, and B. Theodoulidis. 2017. “Customer Engagement in a Big Data World.” Journal of Services Marketing 31 (2): 161–171. doi:10.1108/JSM-10-2016-0352.
   Web of Science ®Google Scholar
• Lau, S. H., and P. C. Woods. 2008. “An Investigation of User Perceptions and Attitudes toward Learning Objects.” British Journal of Educational Technology 39 (4): 685–699. doi:10.1111/j.1467-8535.2007.00770.x.
   Web of Science ®Google Scholar
• Lee, D., J. Moon, and Y. Kim. 2007. “The Effect of Simplicity and Perceived Control on Perceived Ease of Use.” AMCIS 2007 Proceedings, Keystone, Colorado, 71.
   Google Scholar
• Lee, Y. H. (2007). “Exploring Key Factors That Affect Consumers to Adopt E-Reading Services.” Unpublished Master Thesis. Huafan University, Taiwan.
   Google Scholar
• Lee, Y. H., Y. C. Hsieh, and C. N. Hsu. 2011. “Adding Innovation Diffusion Theory to the Technology Acceptance Model: Supporting Employees’ Intentions to Use E-learning Systems.” Journal of Educational Technology & Society 14 (4): 124.
   Web of Science ®Google Scholar
• Linnhoff, S., and K. T. Smith. 2017. “An Examination of Mobile App Usage and the User’s Life Satisfaction.” Journal of Strategic Marketing 25 (7): 581–617. doi:10.1080/0965254X.2016.1195857.
   Web of Science ®Google Scholar
• Liu, C. Z., Y. A. Au, and H. S. Choi. 2014. “Effects of Freemium Strategy in the Mobile App Market: An Empirical Study of Google Play.” Journal of Management Information Systems 31 (3): 326–354. doi:10.1080/07421222.2014.995564.
   Web of Science ®Google Scholar
• Localytics 2016. “Here’s a Breakdown of Which Apps Have the Best User Retention Rates.” September 24. https://www.businessinsider.in/Heres-a-breakdown-of-which-apps-have-the-best-user-retention-rates/articleshow/51635021.cms
   Google Scholar
• Localytics. 2018a. “21% of Users Abandon an App after One Use.” May 18. http://info.localytics.com/blog/21-percent-of-users-abandon-apps-after-one-use
   Google Scholar
• Localytics. 2018b. “Mobile Apps: What’s A Good Retention Rate?” May 18 http://info.localytics.com/blog/mobile-apps-whats-a-good-retention-rate
   Google Scholar
• Luarn, P., and H. H. Lin. 2005. “Toward an Understanding of the Behavioral Intention to Use Mobile Banking.” Computers in Human Behavior 21 (6): 873–891. doi:10.1016/j.chb.2004.03.003.
   Web of Science ®Google Scholar
• Moore, G. C., and I. Benbasat. 1991. “Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation.” Information Systems Research 2 (3): 192–222. doi:10.1287/isre.2.3.192.
   Web of Science ®Google Scholar
• Mun, Y. Y., and Y. Hwang. 2003. “Predicting the Use of Web-based Information Systems: Self-efficacy, Enjoyment, Learning Goal Orientation, and TAM.” International Journal of Human-Computer Studies 59 (4): 431–449. doi:10.1016/S1071-5819(03)00114-9.
   Web of Science ®Google Scholar
• Muriithi, P., D. Horner, and L. Pemberton. 2016. “Factors Contributing to Adoption and Use of Information and Communication Technologies within Research Collaborations in Kenya.” Information Technology for Development 22 (1): 84–100. doi:10.1080/02681102.2015.1121856.
   Web of Science ®Google Scholar
• News18 2018. “150 Times a Day: Study Shows Indian Students’ Alarming Smartphone Addiction.” May 5. https://www.news18.com/news/india/according-to-new-study-students-check-their-mobile-devices-as-many-as-150-times-in-a-day-1720539.html
   Google Scholar
• Noble, C. H., S. M. Noble, and M. T. Adjei. 2012. “Let Them Talk! Managing Primary and Extended Online Brand Communities for Success.” Business Horizons 55 (5): 475–483. doi:10.1016/j.bushor.2012.05.001.
   Web of Science ®Google Scholar
• Nysveen, H., P. E. Pedersen, and H. Thorbjørnsen. 2005. “Intentions to Use Mobile Services: Antecedents and Cross-service Comparisons.” Journal of the Academy of Marketing Science 33 (3): 330–346. doi:10.1177/0092070305276149.
   Web of Science ®Google Scholar
• Pantano, E., and C. V. Priporas. 2016. “The Effect of Mobile Retailing on Consumers’ Purchasing Experiences: A Dynamic Perspective.” Computers in Human Behavior 61: 548–555. doi:10.1016/j.chb.2016.03.071.
   Web of Science ®Google Scholar
• Paul, J., and E. Mas. 2016. “The Emergence of China and India in the Global Market.” Journal of East-West Business 22 (1): 28–50. doi:10.1080/10669868.2015.1117034.
   Web of Science ®Google Scholar
• Porter, C. E., and N. Donthu. 2006. “Using the Technology Acceptance Model to Explain How Attitudes Determine Internet Usage: The Role of Perceived Access Barriers and Demographics.” Journal of Business Research 59 (9): 999–1007. doi:10.1016/j.jbusres.2006.06.003.
   Web of Science ®Google Scholar
• Premkumar, G., and M. Potter. 1995. “Adoption of Computer-aided Software Engineering (CASE) Technology: An Innovation Adoption Perspective.” ACM SIGMIS Database 26 (2–3): 105–124. doi:10.1145/217278.
   Web of Science ®Google Scholar
• Priporas, C. V., N. Stylos, and A. K. Fotiadis. 2017. “Generation Z Consumers’ Expectations of Interactions in Smart Retailing: A Future Agenda.” Computers in Human Behavior 77: 374–381. doi:10.1016/j.chb.2017.01.058.
   Web of Science ®Google Scholar
• Priporas, C. V., N. Stylos, and I. E. Kamenidou. 2019. “City Image, City Brand Personality and Generation Z Residents’ Life Satisfaction under Economic Crisis: Predictors of City-related Social Media Engagement.” Journal of Business Research. doi:10.1016/j.jbusres.2019.05.019.
   Web of Science ®Google Scholar
• Puschel, J., J. A. Mazzon, and J. M. C. Hernandez. 2010. “Mobile Banking: Proposition of an Integrated Adoption Intention Framework.” International Journal of Bank Marketing 28 (5): 389–409. doi:10.1108/02652321011064908.
   Google Scholar
• Rauniar, R., G. Rawski, J. Yang, and B. Johnson. 2014. Technology Acceptance Model (TAM) and Social Media Usage: An Empirical Study on Facebook. Journal of Enterprise Information Management 27: 6–30.
   Web of Science ®Google Scholar
• Records, S. L. 2008. “The Influence of Gender on New Technology Adoption and Use-Mobile Commerce.” Journal of Internet Commerce 7 (2): 2008.
   Google Scholar
• Riquelme, H., and R. E. Rios. 2010. “The Moderating Effect of Gender in the Adoption of Mobile Banking.” International Journal of Bank Marketing 28 (5): 328–341. doi:10.1108/02652321011064872.
   Google Scholar
• Rogers, E. M. 1983. Diffusion of Innovations. New York, NY: Free Press.
   Google Scholar
• Rogers, E. M. 1995. Diffusion of Innovations. 4th ed. New York: Free Press.
   Google Scholar
• Roy, S. 2017. “App Adoption and Switching Behavior: Applying the Extended Tam in Smartphone App Usage.” Journal of Information Systems & Technology Management 14 (2): 239–262. doi:10.4301/S1807-17752017000200006.
   Google Scholar
• Saber-Chtourou, M., and N. Souiden. 2010. “Rethinking the TAM Model: Time to Consider Fun.” Journal of Consumer Marketing 27 (4): 336–344. doi:10.1108/07363761011052378.
   Google Scholar
• Sharma, S. K., A. H. Al-Badi, S. M. Govindaluri, and M. H. Al-Kharusi. 2016. “Predicting Motivators of Cloud Computing Adoption: A Developing Country Perspective.” Computers in Human Behavior 62: 61–69. doi:10.1016/j.chb.2016.03.073.
   Web of Science ®Google Scholar
• Shih, C. H. 2007. “Integrating Innovation Diffusion Theory and UTAUT to Explore the Influencing Factors on Teacher Adopt E-learning System – With MOODLE as an Example.” Unpublished Master Thesis. Dayeh University, Taiwan.
   Google Scholar
• Slyke, C. V., F. Belanger, and C. L. Comunale. 2004. “Factors Influencing the Adoption of Web-based Shopping: The Impact of Trust.” ACM Sigmis Database 35 (2): 32–49. doi:10.1145/1007965.
   Google Scholar
• Statista 2016. “App Download and Usage Statistics.” Accessed 23 August 2017. https://www.statista.com/statistics/323522/us-user-mobile-app-engagement-age/
   Google Scholar
• Statista. 2017. “App Stores: Number of Apps in Leading App Stores 2017 | Statista.” August 23. https://www.statista.com/statistics/276623/number-of-apps-available-in-leading-app-stores/
   Google Scholar
• Tang, A. K. 2019. “A Systematic Literature Review and Analysis on Mobile Apps in M-commerce: Implications for Future Research.” Electronic Commerce Research and Applications 37: 100885. doi:10.1016/j.elerap.2019.100885.
   Web of Science ®Google Scholar
• Taylor, D. G., T. A. Voelker, and I. Pentina. 2011. “Mobile Application Adoption by Young Adults: A Social Network Perspective.” International Journal of Mobile Marketing 6 (2): 60–70.
   Google Scholar
• Taylor, S., and P. A. Todd. 1995. “Understanding Information Technology Usage: A Test of Competing Models.” Information Systems Research 6 (2): 144–176. doi:10.1287/isre.6.2.144.
   Web of Science ®Google Scholar
• The Economic Times. 2018a. “India Becomes World’s Fastest-growing Market for Apps.” April 21. https://economictimes.indiatimes.com/tech/software/india-becomes-worlds-fastest-growing-market-for-apps/articleshow/63740547.cms.
   Google Scholar
• The Economic Times 2018b. “India Is World’s Fourth-largest App Economy: Report.” April 21. https://economictimes.indiatimes.com/tech/software/India-is-worlds-fourth-largest-app-economy-Report/articleshow/53092793.cms.
   Google Scholar
• Tyrväinen, O., and H. Karjaluoto. 2019. “A Systematic Literature Review and Analysis of Mobile Retailing Adoption.” Journal of Internet Commerce 18 (2): 221–247. doi:10.1080/15332861.2019.1595364.
   Web of Science ®Google Scholar
• 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. doi:10.1287/isre.11.4.342.11872.
   Web of Science ®Google Scholar
• Venkatesh, V., and F. D. Davis. 2000. “A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies.” Management Science 46 (2): 186–204. doi:10.1287/mnsc.46.2.186.11926.
   Web of Science ®Google Scholar
• Venkatesh, V., M. Morris, G. Davis, and F. Davis. 2003. “User Acceptance of Information Technology: Toward a Unified View.” MIS Quarterly 27 (3): 425–478. doi:10.2307/30036540.
   Web of Science ®Google Scholar
• Venkatraman, N. 1989. “Strategic Orientation of Business Enterprises: The Construct, Dimensionality & Measurement.” Management Science 35 (8): 942–962. doi:10.1287/mnsc.35.8.942.
   Web of Science ®Google Scholar
• Verkasalo, H., C. López-Nicolás, F. J. Molina-Castillo, and H. Bouwman. 2010. “Analysis of Users and Non-users of Smartphone Applications.” Telematics and Informatics 27 (3): 242–255. doi:10.1016/j.tele.2009.11.001.
   Google Scholar
• Wang, Y., Y. Yuan, O. Turel, and Z. Tu. 2015. “Understanding the Development and Diffusion of Mobile Commerce Technologies in China: A Biographical Study with an Actor-network Theory Perspective.” International Journal of Electronic Commerce 19 (4): 47–76. doi:10.1080/10864415.2015.1029358.
   Web of Science ®Google Scholar
• Williams, M. D., N. P. Rana, and Y. K. Dwivedi. 2015. “The Unified Theory of Acceptance and Use of Technology (UTAUT): A Literature Review.” Journal of Enterprise Information Management 28 (3): 443–488. doi:10.1108/JEIM-09-2014-0088.
   Web of Science ®Google Scholar
• Wu, J. H., and S. C. Wang. 2005. “What Drives Mobile Commerce? an Empirical Evaluation of the Revised Technology Acceptance Model.” Information & Management 42 (5): 719–729. doi:10.1016/j.im.2004.07.001.
   Web of Science ®Google Scholar
• Xia, W., and G. Lee. 2000. “The Influence of Persuasion, Training and Experience on User Perceptions and Acceptance of IT Innovation.” Proceedings of the Twenty First International Conference on Information Systems, Atlanta, GA, 371–384. Association for Information Systems.
   Google Scholar
• Yang, A. S. 2009. “Exploring Adoption Difficulties in Mobile Banking Services.” Canadian Journal of Administrative Sciences 26 (2): 136–149. doi:10.1002/cjas.102.
   Web of Science ®Google Scholar
• Yang, H. 2013. “Bon Appétit for Apps: Young American Consumers’ Acceptance of Mobile Applications.” Journal of Computer Information Systems 53 (3): 85–96. doi:10.1080/08874417.2013.11645635.
   Web of Science ®Google Scholar
• Yang, M. M. 2007. “An Exploratory Study on Consumers’ Behavioral Intention of Usage of Third Generation Mobile Value-added Services.” Unpublished Master Thesis. National Cheng Kung University, Taiwan.
   Google Scholar
• Yussof, F. M., A. Harun, N. S. Norizan, N. Durani, I. Jamil, and S. M. Salleh. 2018. “The Influence of Social Media Consumption on Gen Z Consumers’ Attitude.” Journal of Fundamental and Applied Sciences 10 (6S): 1288–1299.
   Google Scholar
• Zhang, T., C. Lu, and M. Kizildag. 2017. “Engaging Generation Y to Co-Create through Mobile Technology.” International Journal of Electronic Commerce 21 (4): 489–516. doi:10.1080/10864415.2016.1355639.
   Web of Science ®Google Scholar