The U-Constructs and Mobile Usage Behavior: Development and Validation of the U-Feat Scale

REFERENCES

• Accenture. (2001). The future of wireless: Different than you think, bolder than you imagine. Retrieved from http://www.accenture.com/xdoc/en/ideas/isc/pdf/Future_of_Wireless.pdf
   Google Scholar
• Anderson, J. C., & Gerbing, D. W. (1991). Predicting the performance of measures in a confirmatory factor analysis with a pretest assessment of their substantive validities. Journal of Applied Psychology, 76, 732–740.
   Web of Science ®Google Scholar
• Arthur, C. (2011, June 5). How the smartphone is killing the PC. The Guardian. Retrieved from http://www.theguardian.com/
   Google Scholar
• Arthur, C. (2014, January 13). Smartphone explosion in 2014 will see ownership in India pass US. The Guardian. Retrieved from http://www.theguardian.com/
   Google Scholar
• Bakos, Y. (1998). The emerging role of electronic marketplaces on the Internet. Communication of the ACM, 41(8), 35–42.
   Web of Science ®Google Scholar
• Balasubramanian, S., Peterson, R. A., & Jarvenpaa, S. L. (2002). Exploring the implications of m-commerce for markets and marketing. Journal of the Academy of Marketing Science, 30, 348–361.
   Web of Science ®Google Scholar
• Barnes, S. J. (2002). Wireless digital advertising: Nature and implications. International Journal of Advertising, 21, 399–420.
   Google Scholar
• Bhargava, Y. (2015, January 14). India to have 213 m mobile internet users by June. The Hindu. Retrieved from http://www.thehindu.com/
   Google Scholar
• Bhave, K., Jain, V. & Roy, S. (2013). Understanding the orientation of Gen Y toward mobile applications and in-app advertising in India. International Journal of Mobile Marketing, 8, 62–74.
   Google Scholar
• Brown, T. A. (2006). Confirmatory factor analysis for applied research. New York, NY: Guilford Press.
   Google Scholar
• Brynjolfsson, E., Hu, Y. J., & Smith, M. D. (2003). Consumer surplus in the digital economy: Estimating the value of increased product variety at online booksellers. Management Science, 49, 1580–1596.
   Web of Science ®Google Scholar
• Calder, B. J. (1977). Focus groups and the nature of qualitative marketing research. Journal of Marketing Research, 14, 353–364.
   Web of Science ®Google Scholar
• Campbell, J. P. (1976). Psychometric theory. In M. D. Dunnette (Ed.), Handbook of industrial and organizational psychology ( pp. 85-122). Chicago, IL: Rand McNally.
   Google Scholar
• Chatterjee, S., Chakraborty, S., Sarker, S., Sarker, S., & Lau, F. Y. (2009). Examining the success factors for mobile work in healthcare: A deductive study. Decision Support Systems, 46, 620–633.
   Web of Science ®Google Scholar
• Chin, W. W. (1998). The partial least squares approach to structural equation modeling. Modern Methods for Business Research, 295, 295–336.
   Google Scholar
• Churchill, G. A. (1979). A paradigm for developing better measures of marketing constructs. Journal of Marketing Research, 16, 64–73.
   Web of Science ®Google Scholar
• Corbin, J., & Strauss, A. (1990). Basics of qualitative research: Grounded Theory procedures and techniques. Newbury Park, CA: Sage.
   Google Scholar
• Crano, W. D. (1995). Attitude strength and vested interest. In R. E. Petty & J. A. Krosnick (Eds.), Attitude strength: Antecedents and consequences (pp. 131–158). Mahwah, NJ: Erlbaum.
   Google Scholar
• Crano, W. D., & Prislin, R. (1995). Components of vested interest and attitude–behavior consistency. Basic and Applied Social Psychology, 17(1&2), 1–21.
   Web of Science ®Google Scholar
• Csikszentmihalyi, M. (1990). Beyond boredom and anxiety. San Francisco, CA: Jossey-Bass.
   Google Scholar
• Csikszentmihalyi, M. (1991). Flow: The psychology of optimal experience. New York, NY: Harper and Row.
   Google Scholar
• Dahlbom, B., & Ljungberg, E. (1998). Mobile informatics. Scandinavian Journal of Information Systems, 10, 227–234.
   Google Scholar
• Danova, T. (2015, March 10). The top smartphone trends in major mobile markets around the world. Business Insider. Retrieved from http://www.businessinsider.in/
   Google Scholar
• Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13, 319–340.
   Web of Science ®Google Scholar
• Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35, 982–1003.
   Web of Science ®Google Scholar
• Dekleva, S. (2004). M-business: Economy driver or a mess? Communications of the Association for Information Systems, 13(1), 11.
   Google Scholar
• Diamantopoulos, A., & Winklhofer, H. M. (2001). Index construction with formative indicators: An alternative to scale development. Journal of Marketing Research, 38, 269–277.
   Web of Science ®Google Scholar
• Dobbins, G. H., Lane, I. M., & Steiner, D. D. (1988). A note on the role of laboratory methodologies in applied behavioural research: Don’t throw out the baby with the bath water. Journal of Organizational Behavior, 9, 281–286.
   Web of Science ®Google Scholar
• Edelman, D. C. (2010). Gaining an edge through digital marketing. McKinsey Quarterly, 12, 129–134.
   Google Scholar
• Engeser, S., & Rheinberg, F. (2008). Flow, performance and moderators of challenge-skill balance. Motivation and Emotion, 32, 158–172.
   Web of Science ®Google Scholar
• Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18, 39–50.
   Web of Science ®Google Scholar
• Galanxhi-Janaqi, H., & Fui-Hoon-Nah, F. (2004). U-commerce: Emerging trends and research issues. Industrial Management & Data Systems, 104, 744–755.
   Web of Science ®Google Scholar
• Gallander-Wintre, M., North, C., & Sugar, L. A. (2001). Psychologists’ response to criticisms about research based on undergraduate participants: A developmental perspective. Canadian Psychology/Psychologie Canadienne, 42, 216–225.
   Web of Science ®Google Scholar
• Garfield, M. J. (2005). Acceptance of ubiquitous computing. Information Systems Management, 22(4), 24–31.
   Web of Science ®Google Scholar
• Gefen, D., Karahanna, E., & Straub, D. W. (2003). Inexperience and experience with online stores: The importance of TAM and trust. IEEE Transactions on Engineering Management, 50, 307–321.
   Web of Science ®Google Scholar
• Glaser, B. G., & Strauss, A. L. (1967). The discovery of grounded theory: Strategies for qualitative research. London, UK: Wiedenfeld and Nicholson.
   Google Scholar
• Goldman, A. E. (1962). The group depth interview. Journal of Marketing, 26, 61–68.
   Web of Science ®Google Scholar
• Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2006). Multivariate data analysis. Upper Saddle River, NJ: Pearson Prentice Hall.
   Google Scholar
• Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing Theory and Practice, 19, 139–152.
   Google Scholar
• Hernández, B., Jiménez, J., & Martín, M. J. (2010). Customer behavior in electronic commerce: The moderating effect of e-purchasing experience. Journal of Business Research, 63, 964–971.
   Web of Science ®Google Scholar
• Hinkin, T. R. (1995). A review of scale development practices in the study of organizations. Journal of Management, 21, 967–988.
   Web of Science ®Google Scholar
• Hoffman, D. L., & Novak, T. P. (1996). Marketing in hypermedia computer-mediated environments: Conceptual foundations. Journal of Marketing, 60(3), 50–68.
   Web of Science ®Google Scholar
• Janelle, D. G. (2004). Impact of information technologies. In S. Hanson & G. Giuliano (Eds.), The geography of urban transportation (pp. 86-112). New York, NY: Guilford.
   Google Scholar
• Jarvis, C. B., MacKenzie, S. B., & Podsakoff, P. M. (2003). A critical review of construct indicators and measurement model misspecification in marketing and consumer research. Journal of Consumer Research, 30, 199–218.
   Web of Science ®Google Scholar
• Jessup, L. M., & Robey, D. (2002). The relevance of social issues in ubiquitous computing environments. Communications of the ACM, 45(12), 88–91.
   Web of Science ®Google Scholar
• Jöreskog, K. G., & Sörbom, D. (1996). LISREL 8: User’s reference guide. Chicago, IL: Scientific Software International.
   Google Scholar
• Junglas, I., & Watson, R. T. (2006). The u-constructs: Four information drives. Communications of the Association for Information Systems, 17(1), Article 26.
   Google Scholar
• Kannan, P. K., Chang, A. M., & Whinston, A. B. (2001, January). Wireless commerce: Marketing issues and possibilities. Proceedings of the 34th Annual Hawaii International Conference on System Sciences, pp. 1–6.
   Google Scholar
• Kassarjian, H. H. (1977). Content analysis in consumer research. Journal of Consumer Research, 4(1), 8–18.
   Web of Science ®Google Scholar
• Kim, S., & Garrison, G. (2009). Investigating mobile wireless technology adoption: An extension of the technology acceptance model. Information Systems Frontiers, 11, 323–333.
   Web of Science ®Google Scholar
• Kleijnen, M., De Ruyter, K., & Wetzels, M. (2007). An assessment of value creation in mobile service delivery and the moderating role of time consciousness. Journal of Retailing, 83, 33–46.
   Web of Science ®Google Scholar
• KPCB. (2012). Internet trends [Report]. Retrieved from http://www.kpcb.com/insights/2012-internet-trends
   Google Scholar
• Krzystofiak, F., Cardy, R. L., & Newman, J. (1988). Implicit personality and performance appraisal: The influence of trait inferences on evaluations of behavior. Journal of Applied Psychology, 73, 515–521.
   Web of Science ®Google Scholar
• Kuziemsky, C. E., Laul, F., & Leung, R. C. (2005). A review on diffusion of personal digital assistants in healthcare. Journal of Medical Systems, 29, 335–342.
   PubMedGoogle Scholar
• Lamarre, A., Galarneau, S., & Boeck, H. (2012). Mobile marketing and consumer behavior: Current research trend. International Journal of Latest Trends in Computing, 3, 1–9.
   Google Scholar
• Lawrence, P. R., & Nohria, N. (2002). Driven: How human nature shapes our choices. San Francisco, CA: Jossey-Bass.
   Google Scholar
• Lee, H., & Liebenau, J. (2000). Time and the Internet at the turn of the millennium. Time & Society, 9, 43–56.
   Web of Science ®Google Scholar
• Lee, H., & Sawyer, S. (2010). Conceptualizing time, space and computing for work and organizing. Time & Society, 19, 293–317.
   Web of Science ®Google Scholar
• Lee, Y., Kozar, K. A., & Larsen, K. R. (2003). The technology acceptance model: Past, present, and future. Communications of the Association for Information Systems, 12(1), Article 50.
   Google Scholar
• Lewis, B. R., Templeton, G. F., & Byrd, T. A. (2005). A methodology for construct development in MIS research. European Journal of Information Systems, 14, 388–400.
   Web of Science ®Google Scholar
• Limayem, M., Khalifa, M., & Frini, A. (2000). What makes consumers buy from Internet? A longitudinal study of online shopping. IEEE Transactions on Systems, Man and Cybernetics, Part A: Systems and Humans, 30, 421–432.
   Web of Science ®Google Scholar
• Liu, Y. (2003). Developing a scale to measure the interactivity of websites. Journal of Advertising Research, 43, 207–216.
   Web of Science ®Google Scholar
• Lynch, J. G., Jr., & Ariely, D. (2000). Wine online: Search costs affect competition on price, quality, and distribution. Marketing Science, 19, 83–103.
   Web of Science ®Google Scholar
• Lyytinen, K., & Yoo, Y. (2002). Research commentary: The next wave of nomadic computing. Information Systems Research, 13(4), 377–388.
   Web of Science ®Google Scholar
• Mahatanankoon, P., Wen, H. J., & Lim, B. (2005). Consumer-based m-commerce: Exploring consumer perception of mobile applications. Computer Standards & Interfaces, 27, 347–357.
   Web of Science ®Google Scholar
• Makimoto, T., & Manners, D. (1997). Digital nomad. New York, NY: Wiley.
   Google Scholar
• Mayerowitz, S. (2014). Skip check-in: Latest hotel room key is your phone. ABC News. Retrieved from http://abcnews.go.com/Health/wireStory/skip-check-latest-hotel-room-key-phone-26645206
   Google Scholar
• Messerschmitt, D. G. (1996). The convergence of telecommunications and computing: What are the implications today? Proceedings of the IEEE, 84, 1167–1186.
   Web of Science ®Google Scholar
• Morgan, D. L., & Spanish, M. T. (1984). Focus groups: A new tool for qualitative research. Qualitative Sociology, 7, 253–270.
   Google Scholar
• Netemeyer, R. G., Bearden, W. O., & Sharma, S. (2003). Scaling procedures: Issues and applications. London, UK: Sage.
   Google Scholar
• Ngai, E. W., & Gunasekaran, A. (2007). A review for mobile commerce research and applications. Decision Support Systems, 43, 3–15.
   Web of Science ®Google Scholar
• Nielsen. (2014). Report: Unstoppable! Smartphone surge in India continues. Retrieved from http://www.nielsen.com/content/corporate/in/en/insights/reports/2014/unstoppable–smartphone-surge-in-india-continues.html
   Google Scholar
• Novak, T. P., Hoffman, D. L., & Duhachek, A. (2003). The influence of goal-directed and experiential activities on online flow experiences. Journal of Consumer Psychology, 13, 3–16.
   Web of Science ®Google Scholar
• Novak, T. P., Hoffman, D. L., & Yung, Y. F. (2000). Measuring the customer experience in online environments: A structural modeling approach. Marketing Science, 19, 22–42.
   Web of Science ®Google Scholar
• Okazaki, S., & Mendez, F. (2013). Perceived ubiquity in mobile services. Journal of Interactive Marketing, 27, 98–111.
   Web of Science ®Google Scholar
• Parasuraman, A. (2000). Technology Readiness Index (TRI): A multiple-item scale to measure readiness to embrace new technologies. Journal of Service Research, 2, 307–320.
   Google Scholar
• Pascoe, J., Ryan, N., & Morse, D. (2000). Using while moving: HCI issues in fieldwork environments. ACM Transactions on Computer–Human Interaction (TOCHI), 7, 417–437.
   Google Scholar
• Peppers, D., Rogers, M., & Dorf, B. (1999). Is your company ready for one-to-one marketing. Harvard Business Review, 77, 151–160.
   PubMed Web of Science ®Google Scholar
• Peter, J. P. (1981). Construct validity: A review of basic issues and marketing practices. Journal of Marketing Research, 18,133–145.
   Web of Science ®Google Scholar
• Rai, S. (2014, September 9). Mobile advertising rockets in India, world’s fastest-growing smartphone market. Forbes. Retrieved from http://www.forbes.com/sites/saritharai/2014/09/09/mobile-advertising-rockets-in-india-worlds-fastest-growing-smartphone-market/
   Google Scholar
• Roy, S., Tarafdar, M., Ragu-Nathan, T. S., & Marsillac, E. (2012). The effect of misspecification of reflective and formative constructs in operations and manufacturing management research. Electronic Journal of Business Research Methods, 10, 34–52.
   Google Scholar
• Schwab, D. P. (1980). Construct validity in organizational behavior. Research in Organizational Behavior, 2, 3–43.
   Google Scholar
• Shankar, V., Venkatesh, A., Hofacker, C., & Naik, P. (2010). Mobile marketing in the retailing environment: Current insights and future research avenues. Journal of Interactive Marketing, 24, 111–120.
   Web of Science ®Google Scholar
• Shin, D. H. (2010). Modeling the interaction of users and mobile payment system: Conceptual framework. International Journal of Human–Computer Interaction, 26, 917–940.
   Web of Science ®Google Scholar
• Smith, A. K., Bolton, R. N., & Wagner, J. (1999). A model of customer satisfaction with service encounters involving failure and recovery. Journal of Marketing Research, 36, 356–372.
   Web of Science ®Google Scholar
• Smith, H. J., Milberg, S. J., & Burke, S. J. (1996). Information privacy: Measuring individuals’ concerns about organizational practices. MIS Quarterly, 20, 167–196.
   Web of Science ®Google Scholar
• Stone, E. (1978). Research methods in organizational behavior. Glenview, IL: Scott, Foresman.
   Google Scholar
• Straub, D. W., & Watson, R. T. (2001). Research commentary: Transformational issues in researching IS and net-enabled organizations. Information Systems Research, 12, 337–345.
   Web of Science ®Google Scholar
• Tarasewich, P., Nickerson, R. C., & Warkentin, M. (2002). Issues in mobile e-commerce. Communications of the Association for Information Systems, 8(1), 3.
   Google Scholar
• Taylor, S., & Todd, P. A. (1995). Understanding information technology usage: A test of competing models. Information Systems Research, 6, 144–176.
   Web of Science ®Google Scholar
• Varnali, K., & Toker, A. (2010). Mobile marketing research: The-state-of-the-art. International Journal of Information Management, 30, 144–151.
   Web of Science ®Google Scholar
• Venkatesh, V., & Bala, H. (2008). Technology acceptance model 3 and a research agenda on interventions. Decision Sciences, 39, 273–315.
   Web of Science ®Google Scholar
• Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46, 186–204.
   Web of Science ®Google Scholar
• Watson, R. T., Berthon, P., Zinkhan, G. M., & Pitt, L. F. (2008). Electronic commerce: The strategic perspective. TheOrangeGrove. Retrieved from http://florida.theorangegrove.org/og/file/29589c3c-8bcd-72c1-b2f2-37789232eb3c/1/Electronic_Commerce.pdf
   Google Scholar
• Watson, R. T., Pitt, L. F., Berthon, P., & Zinkhan, G. M. (2002). U-commerce: Expanding the universe of marketing. Journal of the Academy of Marketing Science, 30, 333–347.
   Web of Science ®Google Scholar
• Weiser, M., Gold, R., & Brown, J. S. (1999). The origins of ubiquitous computing research at PARC in the late 1980s. IBM Systems Journal, 38, 693–696.
   Google Scholar
• Wiberg, M., & Ljungberg, F. (1999). Exploring the vision of anytime, anywhere in the context of mobile work. In Y. Malhotra (Ed.), Knowledge management and virtual organizations: Theories, practices, technologies and methods ( pp. 112–128). Hershey, PA: Idea Group.
   Google Scholar
• Yang, S., Lu, Y., Gupta, S., & Cao, Y. (2012). Does context matter? The impact of use context on mobile internet adoption. International Journal of Human–Computer Interaction, 28, 530–541.
   Web of Science ®Google Scholar
• Yoffie, D. B. (1997). Competing in the age of digital convergence. Cambridge, MA: Harvard Business Press.
   Google Scholar
• Yu, J., Ha, I., Choi, M., & Rho, J. (2005). Extending the TAM for a t-commerce. Information & Management, 42, 965–976.
   Web of Science ®Google Scholar
• Zhang, D., & Lai, J. (2011). Can convenience and effectiveness converge in mobile web? A critique of the state-of-the-art adaptation techniques for web navigation on mobile handheld devices. International Journal of Human–Computer Interaction, 27, 1133–1160.
   Web of Science ®Google Scholar
• Zhou, T., & Lu, Y. (2011). The effects of personality traits on user acceptance of mobile commerce. International Journal of Human–Computer Interaction, 27, 545–561.
   Web of Science ®Google Scholar