Management Science and Financial Engineering

The Korean Operations Research and Management Science Society (한국경영과학회)
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The Impact of Mobile Technology Paradox Perception and Personal Risk-Taking Behaviors on Mobile Technology Adoption

  • Chae, Myung-Sin (Dept of Management Information Systems, Seoul University of Venture and Information) ;
  • Yeum, Dae-Sung (Dept of Tourism and Leisure management, Induk University)
  • Received : 2008.03.15
  • Accepted : 2009.12.20
  • Published : 2010.09.30
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Abstract

People acknowledge that mobile technology has improved their lives in terms of convenience, flexibility, connectedness, and new freedom of choice. However, as people increase usage of technology, they may become frustrated, challenged, annoyed, and irritated with it. This is the main characteristic of mobile technology paradoxes. Once technology gets into people's daily life, which it already has, people will look for a way to minimize the dependency on the technology, as well as finding a way to use the technology to improve the quality of their life. The focus of this study is to understand the mobile technology paradoxes and to develop coping strategies. As mobile technology is already a part of people's daily life, it is inevitable that people need to utilize technology as part of their lifestyles. This study developed a research model regarding the relationship between mobile technology perception and choice of coping strategies, including personal risk propensity as a mediating factor. Discussion on the importance of the technology paradoxes for developing mobile solution and services from the customers' perspectives followed after hypotheses testing.

Keywords

References

  1. Akkeren, J. and D. Harker, "Mobile Data Technologies and Small Business Adoption and Diffusion: An Empirical Study of Barriers and Facilitators," In B. E. Mennecke and T. J. Strader (Eds.) Mobile Commerce: Technology, Theory, and Applications, IGI Publishing, Hershey, PA., (2003), 218‐244.
  2. Arnold, M., "On the Phenomenology of Technology: The 'Janus‐Faces' of Mobile Phones," Information and Organization 13 (2003), 231‐256. https://doi.org/10.1016/S1471-7727(03)00013-7
  3. Bandura, A., "Self‐Efficacy: Toward a Unifying Theory of Behavioral Change," Psychological Review 84, 2 (1977), 191‐21. https://doi.org/10.1037/0033-295X.84.2.191
  4. Bandura, A., "Self‐efficacy Mechanism in Human Agency," American Psychologist 37, 2 (1982), 122‐147. https://doi.org/10.1037/0003-066X.37.2.122
  5. Bhattacherjee, A., "Understanding Information Systems Continuance: an Expectation‐ Confirmation Model," MIS Quarterly 25, 3 (2001), 351‐370. https://doi.org/10.2307/3250921
  6. Bruner, G. C. and A. Kumar, "Explaining Consumer Acceptance of Handheld Internet Devices," Journal of Business Research 58 (2005), 553‐558. https://doi.org/10.1016/j.jbusres.2003.08.002
  7. Chin, W. W., "The partial least squares approach for structural equation modeling," In G. A. Marcoulides, (Ed.), Modern Methods for Business Research, Lawrence Erlbaum Associates, Hillsdale, N. J., 1998.
  8. Chin, W. W., B. L. Marcolin, and P. R. Newsted, "A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects: Results from a Monte Carlo Simulation Study and an Electronic‐mail Emotion Adoption Study," Information Systems Research 14 (2003), 189‐217. https://doi.org/10.1287/isre.14.2.189.16018
  9. Clarke, I., "Emerging Value Propositions for M‐Commerce," Journal of Business Strategies 12, 2 (2001), 233‐148.
  10. Compeau, D. R. and C. A. Higgins, "Application of Social Cognitive Theory to Training for Computer Skills," Information Systems Research 6, 2 (1995), 118‐143. https://doi.org/10.1287/isre.6.2.118
  11. Gefen, D., D. W Straub, and M. C. Boudreau, "Structural Equation Modeling and Regression: Guidelines for Research Practice," Communications of the Association for Information Systems 4 (2000), 1‐77.
  12. Goodman, E., "Time Bandits in the Machine Age," Chicago Tribune Tempo section, 1988.
  13. Hair, J. F., R. E. Anderson, R. L. Tatham, and W. C. Black, Multivariate Data Analysis (5th Ed). Prentice‐Hall, Upper Saddle River, NJ., 1998.
  14. Han, S., V. Harkke, P. Landor, and R. Rossi de Mio, "A Foresight Framework for Understanding the Future of Mobile Commerce," Journal of Systems and Information Technology 6, 2 (2002), 19‐39. https://doi.org/10.1108/13287260280000769
  15. Harris, P., R. Rettie, and C. C. Kwan, "Adoption and Usage of M‐Commerce: A Cross‐Cultural Comparison of Hongkong and the United Kingdom,ʺ Journal of Electronic Commerce Research 6, 3 (2005), 210‐224.
  16. Hayes, K. and S. Kuchinskas, Going Mobile, Building the Real‐Time Enterprise with Mobile Applications that Work, CMP Media LLC, 2003.
  17. Heikkilä, J., J. Kallio, T. Saarinen, and V. K. Tuunainen, "EC of Groceries for Elderly and Disabled‐Comparison of Alternative Service Models," Information Technology and People 12, 4 (1999), 389‐402. https://doi.org/10.1108/09593849910301649
  18. Hofstede, G., Culture and Organzations: Software of the Mind, McGraw‐Hill, New York, NY., 1991.
  19. Holahan, C. J. and R. H. Moos, "Personal and Contextual Determinants of Coping Strategies," Journal of Personality and Social Psychology 52, 5 (1987), 946‐955. https://doi.org/10.1037/0022-3514.52.5.946
  20. Hong, W., J. Y. L. Thong, W. M. Wong, and K. Y. Tam, "Determinants of User Acceptance of Digital Libraries: An Empirical Examination of Individual Differences and System Characteristics," Journal of Management Information Systems 18, 3 (2001), 97‐124.
  21. Hu, P. J. H., T. H. K. Clark, and W. W. Ma, "Examining Technology Acceptance by School Teachers: a Longitudinal Study," Information and Management 41, 2 (2003), 227‐241. https://doi.org/10.1016/S0378-7206(03)00050-8
  22. Hulland, J., "Use of Partial Least Squares (PLS) in Strategic Management Research: A Review of Four Recent Studies," Strategic Management Journal 20 (1999), 195‐204. https://doi.org/10.1002/(SICI)1097-0266(199902)20:2<195::AID-SMJ13>3.0.CO;2-7
  23. Jarvenpaa, S. L. and K. R. Lang, "Managing the Paradoxes of Mobile Technology," Information Systems Management 22, 4 (2005), 7‐23. https://doi.org/10.1201/1078.10580530/45520.22.4.20050901/90026.2
  24. Jarvenpaa, S. L., K. R. Lang, Y. Takeda, and V. K. Tuunainen, "Mobile Commerce at Crossroads," Communications of the ACM 46, 12 (2003), 41‐44. https://doi.org/10.1145/953460.953485
  25. Juntumaa, M. and V. K. Tuunainen, "PIM Applications‐An Explorative Study on Benefit and Barriers," 19th Bled eConference Proceedings, Bled, Slovenia, (2006), 5‐7.
  26. Kopomaa, T. City in Your Pocket. The Birth of the Mobile Information Society, Gaudeamus, Helsinki, 2000.
  27. Lyytinen, K. and Y. Yoo, "Research Commentary: The Next Wave of Nomadic Computing," Information Systems Research 13, 4 (2002), 377‐389. https://doi.org/10.1287/isre.13.4.377.75
  28. March, J. G. and W. Shapira, "Managerial Perspectives on Risk and Risk Taking," Management Science 33 (1987), 1404‐1418. https://doi.org/10.1287/mnsc.33.11.1404
  29. Mathieson, K., E. Peacock, and W. Chin, "Extending the Technology Acceptance Model: The Influence of Perceived User Resources," The Data BASE for Advances in Information Systems 32 (2001), 86‐112. https://doi.org/10.1145/506724.506730
  30. Mick, D. G. and S. Fournier, "Paradoxes of Technology: Consumer Cognizance, Emotions, and Coping Strategies," Journal of Consumer Research 25 (1998), 123‐ 143. https://doi.org/10.1086/209531
  31. Mulgan, G., Connectivity: How to Live in a Connected World, Harvard Business School Press, Boston, MA., 1998.
  32. Oliver, R. L., "A Cognitive Model of the Antecedents and Consequences of Satisfaction Decisions," Journal of Marketing Research 17, 4 (1980), 460‐469. https://doi.org/10.2307/3150499
  33. Oliver, R. L. and W. S. DeSarbo, "Response Determinants in Satisfaction Judgments," Journal of Consumer Research, 14, 4, 1988, 495– 507. https://doi.org/10.1086/209131
  34. Parthasarathy, M. and A. Bhattacherjee, "Understanding Post‐adoption Behavior in the Context of Online Services," Information Systems Research 9, 4 (1998), 362‐379. https://doi.org/10.1287/isre.9.4.362
  35. Rheingold, H., Smart Mobs: The Next Social Revolution, Perseus Publishing, Cambridge, MA., 2002.
  36. Schlosser, F. K., "So, How Do People Really Use Their Handheld Devices? An Interactive Study of Wireless Technology Use," Journal of Organizational Behavior 22, 4 (2002), 401‐423.
  37. Schultz, B., "The M‐Commerce Fallacy," Network World 18, 9 (2001), 77‐82.
  38. Sitkin, S. B. and A. L. Pablo, "Reconceptualizing the Determinants of Risk Behavior," The Academy of Management Review 17 (1992), 9‐38.
  39. Smith, K. and D. Berg, Paradoxes of Group Life. Understanding Conflict, Paralysis, and Movement in Group Dynamics, Jossey‐Bass, San Francisco, CA., 1987.
  40. Straub, D. W., "Validating Instruments in MIS Research," MIS Quarterly 13 (1989), 147‐169. https://doi.org/10.2307/248922
  41. Venkatesh, V., "Creation of Favorable User Perceptions: Exploring the Role of Intrinsic Motivation," MIS Quarterly 23, 2 (1999), 239‐260. https://doi.org/10.2307/249753
  42. Weijers, T., R., Meijer, and E. Spoelman, "Telework Remains Made to Measure: The Large‐Scale Introduction of Telework In the Netherlands," Futures 24, 10 (1992), 1048‐1055. https://doi.org/10.1016/0016-3287(92)90136-4
  43. Weill, P. and J. Ross, IT Governance: How Top Performers Manage It Decision Rights for Superior Results, Harvard Business School Press, Boston, MA. 2005.
  44. Zhu, K. and K. L. Kraemer, "E‐commerce Metrics for Net‐Enhanced Organizations: Assessing the Value of e‐Commerce to Firm Performance in the Manufacturing Sector," Information Systems Research 13 (2002), 275‐295. https://doi.org/10.1287/isre.13.3.275.82