Information Systems Review (경영정보학연구)

The Korea Society of Management Information Systems (한국경영정보학회)
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Investigation of "Paradox of Technology" in Service Convergence: Case of Telematics Service

컨버전스 서비스 평가에 대한 기술의 역설: 텔레매틱스 서비스를 중심으로

  • Published : 2009.04.30
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Abstract

Many products today tend to adopt a convergence approach by adding new features or functionalities to the existing products. The convergence, however, results in both positive and negative effects on usage of products, and thus demonstrates the characteristics called "paradox of technology." On the one hand, the added functionalities or features will increase the usefulness of the products. On the other hand, the convergence increases complexity of learning and usage of products and may decrease satisfaction or user evaluations. This study provides an empirical evidence of this paradox through investigation of telematics, one of the exemplary products of convergence services. Our research model is designed to test the existence of the "paradox of technology" and includes variables such as variety of functions, complexity of usage, perceived usefulness, service evaluation, and service fit. The proposed research model and subsequent hypotheses are empirically tested using 149 survey responses from telematics users. We have found that the variety of functions is positively associated with perceived usefulness, but is negatively associated with the complexity of usage. The data analysis reveals that the perceived usefulness has more significant impacts on service evaluation than the complexity of usage does. Furthermore, the strength of causal relationships among these variables is partially moderated by the degree of service fit. This study thus highlights the paradox of technology in explaining user attitudes and beliefs associated with convergence services.

현재 많은 제품 개발이 기존 제품 또는 서비스에 새로운 형상과 기능을 추가하는 컨버전스를 통해 이루어지고 있다. 그러나 제품 개발에서 컨버전스는 제품사용에 대한 긍/부정적 효과를 동시에 유발하며 나아가 소위 "기술의 패러독스" 문제를 내포하고 있다. 한편으로는 기능성 또는 형상의 추가를 통해 제품의 유용성을 향상시키지만 다른 한편으로는 제품 사용 및 사용을 학습의 복잡성을 증가시켜 사용자의 제품에 대한 만족과 서비스 평가에 부정적 영향을 줄 수 있기 때문이다. 이러한 관점에서 본 연구는 대표적 컨버전스 서비스 사례인 텔레매틱스 서비스를 대상으로 이러한 역설의 문제를 탐색한 실증적 결과를 제시하고 있다. 따라서 본 연구의 모델은 "기능다양성", "사용복잡성", "인지된 유용성", "서비스평가", "서비스적합성"과 같은 변인을 채택하여 기술의 역설의 존재를 검증할 수 있도록 설계되었다. 제안된 연구모델과 이에 따른 가설은 실제 텔레매틱스 서비스 사용자 149명으로부터 자료를 수집하여 PLS를 이용한 경로모형분석을 통해 검증되었다. 연구 결과 첫째, 기능다양성의 증가는 인지된 유용성과는 정의 관계가 있으나 사용복잡성과는 부의 관계에 있음이 확인되었다. 둘째, 사용자의 서비스 평가에 대한 영향은 인지된 유용성이 사용복잡성에 비해 더 큰 영향을 미치는 것으로 확인되었다. 마지막으로 연구 결과 1, 2의 변인 간 인과관계의 강도가 서비스 적합성에 의해 부분 조절되는 현상을 확인하였다. 이러한 연구결과는 컨버전스 서비스와 관련된 사용자의 믿음, 태도를 설명함에 있어서 기술의 역설의 영향을 강조하고 있다.

Keywords

References

  1. 이정훈, 선택수, 임종호, "PLS 경로모형을 이용한 IT 조직의 BSC 성공요인간의 인과관계 분석" 경영정보학연구, 제 17권, 제 4호, 2007, pp. 207-228
  2. Aaker, D. A. and K. L. Keller, "Consumer Evaluation of Brand Extensions", Journal of Marketing， Vol.54, January 1990, pp. 27-41 https://doi.org/10.2307/1252171
  3. Adams， D. A., R. R. Nelson, and P. A. Todd, "Perceived Usefulness， Ease of Use, and Usage of Information Technology: a Replication", MIS Quarterly， Vol.16, No.2, 1992, pp. 227-47 https://doi.org/10.2307/249577
  4. Allen, M. M., S. H., Ng, and M., Wilson "A Functional Approach to Insσmnental and Terminal Values and the Value-attitude-behavior System of Consumer Choice"， European Journal of Marketing, Vol.36, No.1/2, 2002, pp. 111-135 https://doi.org/10.1108/03090560210412728
  5. Asbell, B., "The New bnproved American", New York: McGraw-Hill, 1963
  6. Attewell, P. "Technology Diffusion and Organizational Leaming"， Organization Science, Vol.3, No.1, 1992, pp. 1-19 https://doi.org/10.1287/orsc.3.1.1
  7. Bettis, R. A., and M. A. Hitt， "The New Competitive Landscape", Strategic Management Journal, Vol.16, 1995, pp. 7-19 https://doi.org/10.1002/smj.4250160915
  8. Boorstin, D. J., "The Republic of Technology", New York: Harper and Row, 1978
  9. Broniarczyk, S. M. and A. D. Gershoff, "Meaningless Differentiation Revisited", Advances in Consumer Research, Vol.24, 1997, pp. 223-228
  10. Campbell, D. J., "Task Complexity: A Review and Analysis", Academy of Management Review, Vol.13, No.1, 1988, pp. 40-52 https://doi.org/10.2307/258353
  11. Canham, E. D., "Awakening: The World at Mid-Century", New York: Longmans, Green, 1950
  12. Carpenter， G. S., R. Glazer， and K. Nakamoto， "Meaningful Brands from Meaningless Differentiation: The Dependence on Irrelevant Attributes", Journal of Marketing Research, Vol.31, August 1994, pp. 210-24
  13. Chae， M., and J. Kim, "Information Quality for Mobile Intemet Service: A Theoretical Model with Empirical Validation", In Proceeding of the Twenty -third Annual lnternational Confrence on lnformation Systems, Barcelona, December, 2002
  14. Chin， W. W., "The Partial Least Squres Approach to Structural Equation Modeling"， in Marcoulides, G.A.(Eds), Modem Methods for Business Research, Lawrence Erlbaum Associates, Mahwah, NJ, 1998, pp. 295-336
  15. Chin， W., W. W. Todd, and P. A. Todd, "On the Use Usefulness, and Ease of Use of Structural Equation Modeling in MIS Research: A Note of Caution", MIS Quarterly, 1998, pp. 237-246
  16. Chitturi， R., R. Raghunathan, and V. Mahajan, "Form Versus Function: How the Intensities of Specific Emotions Evoked in Functional Versus Hedonic Trade-Offs Mediate Product Preferences", Journal of Marketing Research, Vol.XLIV, 2007, pp. 702-714
  17. Cohen, J., "Statistical Power Analysis for the Behavioral Sciences(2nd ed.)", Lawrence Erlbaum, Hillsdale, NJ, 1988
  18. Davis， F. D., "Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology", MIS Quarterly， Vol.13, No.3, September 1989, pp. 319-340 https://doi.org/10.2307/249008
  19. Dellaert B. and S. Stremersch， "Marketing mass-customized products: Striking a balance between utlity and complexity", Journal of marketing research, Vol.42, May 2005, pp. 219-227 https://doi.org/10.1509/jmkr.42.2.219.62293
  20. Dodds, W. B., K. B. Monroe, and D. Grewal， "Effects of Price, Brand, and Store Information on Buyers' Product Evaluations", Journal of Marketing Research, Vol.28, 1991, pp. 307-319 https://doi.org/10.2307/3172866
  21. Dourish, P., "Where the Action ts: The Foundations of Embodied lnteraction", Cambridge， MA: The MIT Press, 2001
  22. Duri, S., J. Elliott, M. Gruteser, X. Liu, P. Moskowitz, R. Perez, M. Singh, and J. M. Tang, "Data Protection and Data Sharing in Telematics", Mobile Networks and Applications, Vol.9， 2004, pp. 693-701 https://doi.org/10.1023/B:MONE.0000042507.74516.00
  23. Earley, C. "The Influence of Infofmation, Choice and Task Conlplexity upon Goal Acceptance, Performance, and Personal Goals", Journal of Applied Psychology, Vol.70, No.1, 1985, pp. 481-491
  24. Eckman, M. and J. Wamer， "Judging the attractiveness of Product Design: The Effect of Visual Attributes and Consumer Characteristics"， Advances in Consumer Research, Vol.21, 1994, pp. 560-564
  25. Eveland, J. D., and L. G. Tornatzky, "The Deployment of Technology", in The Process of Techn-ological Innovation, L. G. Tomatzky and M. Fleischer(eds.)， Lexington Books, Lexington, MA, 1990
  26. Eysenck, M. W. and M. T. Keane， "Cognitive Psychology: A Student's Handbook", Psychology Press, New York, 2000
  27. Fournier, S., "Meaning-Based Framework for the Study of Consumer-Object Relations", Advances in Consumer Research Vol.18, 1991, pp. 736-742
  28. Fornell, C., and D. F. Larcker， "Evaluating Structural Equations Models with Unobservab1e Variables and Measurement Error", Journal fo Marketing Research , Vol.18, No.1, 1981, pp. 39-50 https://doi.org/10.2307/3151312
  29. Gatignon, H. and J. M. Xuereb, "Strategic Orientation of the Firm and New Product Performance", Journal of Marketing Research, Vol.34, 1997, pp. 77-90 https://doi.org/10.2307/3152066
  30. Gefen, D., and D. W. Straub, "Gender differences in the perception and use of e-mail an extension to the technology acceptance model", MIS Quarterly, Vo1.21, 1997, pp. 389-400 https://doi.org/10.2307/249720
  31. Gill, T., "Convergent Products: What Functionalities Add More Value to the Base?", Journal of Marketing, Vol.72, No.2, pp. 2008, pp. 46-62 https://doi.org/10.1509/jmkg.72.2.46
  32. Glendinning, C., "When Technology Wounds: The Human Consequences of Progress", New York: William Morrow, 1990
  33. Goldenberg， J., R. Horovitz， A. Levav, and D. Mazursky, "Finding your Innovation Sweet Spot", Harvard Business Review, Vol.81, March 2003, pp. 120-129
  34. Griffin. A., "The Effect of Project and Process Characteristics on Product Development Cycle Time", Journal of Marketing Research, Vol.34, No.1, 1997, pp. 24-35 https://doi.org/10.2307/3152062
  35. Hagel III and M. Singer, "Unbundling the Corporation", Harvard Business. Review, 1999, pp. 133-41.
  36. Handy, C., "The Age of Paradox", Boston: Harvard Business School Press, 1995
  37. Herr, Paul M., Peter H. Farquhar, and Russel H. Fazio, "Impact of Dominance and Relatedness on Brand Extensions", Journal of Consumer Psychology, Vol.5, No.2, 1996, pp. 135-159 https://doi.org/10.1207/s15327663jcp0502_03
  38. Hill, S., "The Tragedy of Technology", London: Pluto, 1988
  39. Hirschman, E. C., "Symbolism and Technology as Sources for the Generation of Innovations." Advances in Consumer Research, Vol.9, 1982, pp. 537-541
  40. Hirschman， E. C., "The Creation of Product Symbolism", Advances in Consumer Research, Vol.13, 1986, pp. 327-331
  41. Hirschnlan, E. C., "Adoption of an lncredib1y Complex lnnovation: Propositions from a Humanistic Vantage Point", Advances in Consumer Research, Vol.14, 1987, pp. 57-60
  42. Hong, W., J. Y. L. Thong， and K. Y. Tam, "Does Animation Attract Online Users’ Attention? The Effects of Flash on Information Search Performance and Perceptions", Information Systerns Research, Vol.15, No.1, 2004, pp. 60-86 https://doi.org/10.1287/isre.1040.0017
  43. Huffman, C., S. Ratneshwar, and D. G. Mick, "Consumer Goal Structures and Goal- Determination Processes: An lntegrative Framework", in The Why of Consumption: Contemporary Perspectives on Consumer Motives, Coals, and Desires， S. Ratneshwar, D.G. Mick, and C. Huffman, eds. London and New York: Routledge, 2000， pp. 9-35
  44. Igbaria, M. and M. Tan, "The Consequences of IT Acceptance on Subsequent lndividual Performance", Information and Management, Vol.32, 1997, pp. 113-121 https://doi.org/10.1016/S0378-7206(97)00006-2
  45. Kahneman， D., "Attention and Effort"， Prentice-Hall, Englewood Cliffs, NJ, 1973
  46. Karahanna， E. and D. W. Straub, "The psychological origins of perceived usefulness and ease-of-use", Information and Management, Vol.35, 1999, pp. 237-250 https://doi.org/10.1016/S0378-7206(98)00096-2
  47. Keil, M., P. M. Beranek, and B. R. Konsynski, "Usefulness and ease of use" field study evidence regarding task consideration", Decision Support Systems, Vol.13, 1995, pp. 75-91 https://doi.org/10.1016/0167-9236(94)E0032-M
  48. Kim, G. M., B. S. Shin， and H. G. Lee, "Understanding dynamics between initial trust and usage intentions of mobile banking" Information Systems Journal, 2007, pp. 1-29
  49. Kim, Y. B., J. D. Lee, and D. Y. Koh, "Effects of Consumer Preferences on the Convergence of Mobile Telecommunications Devices", Applied Economics, Vol.37, 2005, pp. 817-826 https://doi.org/10.1080/0003684042000337398
  50. Klemz, B. R and T. S. Gruca, "Dueling of the Battle Royale? The Impact of Task Complexity on the Evaluation of Entry Threat"， Psychology and Marketing, Vol.20, No.11, 2003, pp. 999-1016 https://doi.org/10.1002/mar.10106
  51. Lefkoff-Hagius, R. and C. H. Mason, "Characteristics, Nebeficial, and Image Attributes in Consumer Judgments of Similarity and Preference", Journal of Consumer Research, Vol.20, 1993, pp. 100-110 https://doi.org/10.1086/209336
  52. Ligas, M., "People, Products, and pursuits: Exploring the Relationship between Consumer Goals and Product Meanings", Psychology and Marketing, Vol.17, No.11, 2000， pp. 983-1003 https://doi.org/10.1002/1520-6793(200011)17:11<983::AID-MAR4>3.0.CO;2-J
  53. Lowrey, T. M., "The Use of Diffusion Theory in Marketing: A Qualitative Approach to lnnovative Consumer Behavior," in Advances in Consumer Behavior, Vol.18, ed
  54. Rebecca H. Holman and Michael R. Solomon, Provo, UT: Association for Consumer Research, pp. 644-650
  55. McQuarrie, E. F. and K. Iwarnoto, "Public Opinion toward Computers as a Function of Exposure", Social Science Computer Review, Vol.8, Summer 1990, pp. 221-233
  56. Meyers-Levy, J. and A. M., Tybout, "Schema Congruity as a Basis for Product Evaluations", Journal 01 Consumer Research, Vol.16, pp. 39-54
  57. Mick, D. G. and S. Fournier, "Paradoxes of Technology: Consumer Cognizance, Emotions, and Coping Strategies", Journal of Consumer Research, Vol.25, September 1998, pp. 123-143 https://doi.org/10.1086/209531
  58. Moore, G. C. and I. Benbasat, "Development of an instrument to measure the perceptions of adopting an information technology innovation", Information System Research, Vol.2, No.3, 1991, pp. 192-239 https://doi.org/10.1287/isre.2.3.192
  59. Moreau, C. P., D. R Lehmann, and A. B. Markman, "Entrenched Knowledge Structures and Consumer Response to New Products", Journal of Marketing Research, Vol.38, 2001, pp. 14-29 https://doi.org/10.1509/jmkr.38.1.14.18836
  60. Mukherjee， A. and W. D. Hoyer, "The Effect of Novel Attributes on Product Evaluation", Journal of Consumer Research, Vol.28, No.3, Dec. 2001, pp. 462-472 https://doi.org/10.1086/323733
  61. Murmann, P. A., "Expected Development Time Reductions in the German Mechanical Engineering Industry", Journal of Product lnnovation Management, Vol.11, No.3, 1994, pp. 236-252 https://doi.org/10.1016/0737-6782(94)90006-X
  62. Nadkami, S. and R Gupta, "A Task-Based Model of Perceived Website Complexity", MIS Quarterly, Vol.31 No.3, 2007, pp. 501-524
  63. Nowlis, S. M. and I. Simonson, "The effect of New Product Features on Brand Choice"， Journal of Marketing Research, Vol.33, February 1996, pp. 36-46 https://doi.org/10.2307/3152011
  64. Nuckolls, C. W., "The Cultural Dialectics of Knowledge and Desire, Madison: University of Wisconsin Press, 1996
  65. Olla, P. and N. V. Patel, "A Value Chain Model for Mobile Data Service Providers", Telecommunication Policy, Vol.26, No.9-10, 2002, pp. 551-71 https://doi.org/10.1016/S0308-5961(02)00031-9
  66. Olshavsky, R. W. and R. A. Spreng, "An Exploratory Study of the Innovation Evaluation Process", Journal of Product lnnovation Management, Vol.13, No.6, 1993, pp. 512-29
  67. Park, C. W., S. Milderg and R. Lawson "Evaluation of Brand Extensions: The Role of Product Feature Similarity and Brand Concept Consistency", Journal of Consumer Research, Vol.18, 1991, pp. 185-193 https://doi.org/10.1086/209251
  68. Peracchio, L. A. and A. M. Tybout, "The Moderating Role of Prior Knowledge in Scheman-Based Product Evaluation", Journal of Consumer Research, Vol.23, December 1996, pp. 177-191 https://doi.org/10.1086/209476
  69. Podsakoff, P. M., and D. W. Organ, Self-Reports in Organizational Research: Problems and Prospects", Journal of Management, Vol.12, No.4, 1986, pp. 531-544 https://doi.org/10.1177/014920638601200408
  70. Premkumar, G. and M. Roberts, "Adoption of New Information Technologies in Rural Small Businesses", Omega, Vol.27, No.4, 1999, pp. 467-484 https://doi.org/10.1016/S0305-0483(98)00071-1
  71. Rogers, E. M., "Diffusion of lnnovations, (3rd ed.)", The Free Press, New York, 1983
  72. Rogers, E. M. "Diffusion of innovations. (4th ed.)", New York: Free Press. 1995
  73. Shaft, T. M. and I. Vessey, "The Role of Cognitive Fit in the Relationship Between Software Comprehension and Modification", MIS Quarterly, Vol.30, No.1, 2006, pp. 29-55
  74. Speier, C., "The Influence of Query Interface Design on Decision-Making Performance", MIS Quarterly, Vol.27, No.3, 2003, pp. 397-423
  75. Suh, K. S. and Y. E. Lee, "Effects of Virtual Reality on Consumer Learning: An Empirical Investigation in Web-Based Electronic Commerce", MIS Quarterly， Vol.29, No.4, 2005, pp. 673-697
  76. Sulaiman， A., N. I. Jaafar, and S. Mohezar, "An overview of mobile banking adoption among the urban community", lnternational Journal of Mobile Communications, Vol.5, No.2, 2007, pp. 157-168 https://doi.org/10.1504/IJMC.2007.011814
  77. Te’eni, D., "Determinants and Consequences of Perceived Complexity in Human-Computer Interaction", Decision Sciences, Vol.20, No.1, 1989, pp. 166-181 https://doi.org/10.1111/j.1540-5915.1989.tb01405.x
  78. Te’eni， D., "Review: A Cognitive-Affective Model of Organizational Communication for Designing IT", MIS Qzμrterly, Vol.25, No.2, 2001, pp. 251-312 https://doi.org/10.2307/3250931
  79. Tenenhaus， M., V. E. Vinzi, Y. M. Chatelin, and C. Lauro, "PLS Path Modeling", Computational Statistics and Data Analysis, Vol.48, No.1, 2005, pp. 159-205 https://doi.org/10.1016/j.csda.2004.03.005
  80. Thompson, R. L., C. A. Higgins, and J. M. Howell, "Personal Computing: Toward a Conceptual Model of Utilization", MIS Quarterly, Vol.15, No.1, 1991, pp. 125-143 https://doi.org/10.2307/249443
  81. Thompson， D. V., R. W. Hamilton, and R. T. Rust, "Feature Fatigue: When Product Capabilities Become Too Much of a Good Thing", Journal of Marketing Research, Vol.42, No.4, 2005, pp. 431-442 https://doi.org/10.1509/jmkr.2005.42.4.431
  82. Todd, P. and I. Benbasat, "Evaluation the Impact of DSS, Cognitive Effort, and Incentives on Strategy Selection", Information Systems Research, Vol.10, No.4, 1999, pp. 356-375 https://doi.org/10.1287/isre.10.4.356
  83. Tornatzky, L. G. and K. J. Klein, "Innovation Characteristics and Innovation Adoption- Implementation: A Meta-Analysis of Findings"， IEEE Transactions on Engineering Management, Vol.29, No.1, 1982, pp. 28-45
  84. Vance, A., C. Elie-Dit-Cosaque, and D. W. Straub, "Examining Trust in Information Technology Artifacts: The Effects of System Quality and Culture", Journal of Management lnformation Systems, Vol.24, No.4, Spring 2008, pp. 73-100 https://doi.org/10.2753/MIS0742-1222240403
  85. Venkatesh， V., and F. D. Davis， "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies", Management Science, Vol.45, No.2, 2000, pp. 186-204
  86. Venkatesh， V., M. G. Morris, G. B. Davis， and F. D. Davis， "User Acceptance of Information Technology: Toward a Unified View", MIS Quarterly, Vol.27, No.3, 2003, pp. 425-478
  87. Vessey， I. and D. Galletta, "Cognitive Fit: An Empirical Study of Information Acquisition"， Information Systems Research, Vol.2, No.1, 1991, pp. 63-84 https://doi.org/10.1287/isre.2.1.63
  88. Wood， R. E., "Task Complexity: Definition of the Construct", Organizational Behavior and Human Decision Processes, Vol.37, 1986, pp. 60-82 https://doi.org/10.1016/0749-5978(86)90044-0
  89. Wixom, B. H. and P. A. Todd, "Theoretical integration of user satisfaction and technology acceptance", Information Systems Research, Vol.16, No.1, 2005, pp. 85-102 https://doi.org/10.1287/isre.1050.0042
  90. Wirtz, B. W., "Reconfiguration of Value Chains in Converging Media and Communications Markets", Long Range Planning, Vol.34， No.4, 2001, pp. 489-506 https://doi.org/10.1016/S0024-6301(01)00066-8
  91. Yang, D. H, S. C. Kim, C. G. Nam, and J. S. Moonm "Fixed and Mobile Service Convergence and Reconfiguration of Telecommunications Value Chains"， IEEE Wireless Communications, 2004, pp. 42-47
  92. Zeithatml， V. A., "Consumer Perceptions of Price, Quality, and Value: A Means-End Model and Synthesis of Evidence"， Journal of Marketing, Vol.52, 1988, pp. 2-22 https://doi.org/10.2307/1251446
  93. Ziamou, P. and S. Ratneshwar, "Innovations in Product Functionality: When and Why Are Explicit Conparisons Effective?", Journal of Marketing, Vol.67， 2003, pp. 49-61 https://doi.org/10.1509/jmkg.67.2.49.18606
  94. Zigurs, I. and B. K. Buck1and, "A Theory of TaskfTechnology Fít and Group Support Systems Effectiveness", MIS Quarterly， Vol.22， No.3, 1998, pp. 313-334 https://doi.org/10.2307/249668