Journal of Digital Convergence (디지털융복합연구)

The Society of Digital Policy and Management (한국디지털정책학회)
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How to Solve the Smart Paradox

스마트 패러독스를 해결하는 방법

  • Received : 2013.12.04
  • Accepted : 2014.02.20
  • Published : 2014.02.28
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Abstract

The mobile instant messengers could change the lives of average citizens as much as did the telephone in the early part of the 20th century and television in the 1950s and 1960s. Researchers are debating whether the mobile instant messengers are improving or harming participation in community life and social relationships. For this study, 155 participants in two universities completed questionnaires pertaining to their own mobile instant messengers use and feelings of loneliness. We used survey data to examine the effects of the mobile instant messengers on social involvement and psychological well-being. In this sample, the mobile instant messengers were used extensively for communication. Results suggest that greater use of the mobile instant messengers were associated with declines in participants' communication with the people around which in turn creases their loneliness. These findings have implications for research and for the design of technology.

모바일 메신저는 20세기 초반의 전화기, 1950~60년대의 텔레비전과 마찬가지로 사람들의 삶에 큰 변화를 유발하였다. 하지만 많은 연구자들은 모바일 메신저가 공동체의 삶과 사회적 관계를 향상시키는지 혹은 악화시키는지에 대해 갑론을박을 벌이고 있다. 본 연구는 국내 두 대학의 155명의 대학생들을 대상으로 모바일 메신저의 사용과 사용에 따른 영향(외로움)에 대해 설문조사하였다. 설문대상자들은 모두 모바일 메신저를 능숙하게 사용할 수 있으며, 자주 사용하는 대상자들이다. 연구결과 지나친 모바일 메신저의 사용은 자기 주변의 사람들과의 의사소통을 감소시키는 것으로 나타났으며, 이는 또한 외로움에 영향을 미치는 것으로 나타났다.

Keywords

References

  1. Barclay, D. W., Higgins, C., and Thompson, R., The Partial Least Squares Approach to Causal Modeling: Personal Computer Adoption and Use as Illustration, Technology Studies, vol. 2, no. 2, pp. 285-309, 1995.
  2. Bauminger, N., and Kasari, C., Loneliness and Friendship in High-Functioning Children with Autism, Child Development, vol. 71, no. 2, pp. 447-456, 2000. https://doi.org/10.1111/1467-8624.00156
  3. Bogaerts, S., Vanheule, S., and Desmet, M., Feelings of Subjective Emotional Loneliness: An Exploration of Attachment, Social Behavior and Personality, vol. 34, no.7, pp. 797-812, 2006. https://doi.org/10.2224/sbp.2006.34.7.797
  4. Chin, W. W., Issues and Opinion on Structural Equation Modeling, MIS Quarterly, vol. 22, no. 1, pp. vii-xvi, 1998.
  5. Costello, A. B., and Osborne, J. W., Best Practices in Exploratory Factor Analysis: Four Recommendations for Getting the Most from Your Analysis, Practical Assessment, Research & Evaluation, vol. 10, no. 7, pp. 1-9, 2005.
  6. Fornell, C., and Larcker, D. F., Evaluating Structural Equation Models with Unobservable and Measurement Error, Journal of Marketing Research, vol. 18, pp. 39-50, 1981. https://doi.org/10.2307/3151312
  7. Gefen, D., and Straub, D., A Practical Guide to Factorial Validity Using PLS-Graph: Tutorial and Annotated Example, Communications of the Association for Information Systems, vol. 16, pp. 91-109, 2005.
  8. Gierveld, J. J., A Review of Loneliness: Concept and Definitions, Determinants and Consequences, Reviews in Clinical Gerontology, vol. 8, pp. 73-80, 1998. https://doi.org/10.1017/S0959259898008090
  9. Gierveld, J. J., Tilburg, T., and Dykstra, P. A., Loneliness and Social Isolation, In: Cambridge Handbook of Personal Relationships, A. Vangelisti and D. Perlman, (Eds.), Cambridge University Press, pp. 485-500, 2006.
  10. Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., Tatham, R. L., Multivariate Data Analysis, 6th eds., Pearson Education, Inc., Upper Saddle River, New Jersey, 2006.
  11. Hair, J. F., Ringle, C. M., and Sarstedt, M., Partial Least Squares: The Better Approach to Structural Equation Modeling?, Long Range Planning, vol. 45, pp. 312-319, 2012. https://doi.org/10.1016/j.lrp.2012.09.011
  12. Hair, J. F., Sarstedt, M., Pieper, T. M., and Ringle, C. M., The Use of Partial Least Squares Structural Equation Modeling in Strategic Management Research: A Review of Past Practices and Recommendations for Future Applications, Long Range Planning, vol. 45, pp. 320-340, 2012. https://doi.org/10.1016/j.lrp.2012.09.008
  13. Hair, J. F., Ringle, C. M., and Sarstedt, M., Partial Least Squares Structural Equation Modeling: Rigorous Applications, Better Results and Higher Acceptance, Long Range Planning, vol. 46, pp. 1-12, 2013. https://doi.org/10.1016/j.lrp.2013.01.001
  14. Hansmann, K., and Ringle, C. M., SmartPLS Manual, Universitat Hamburg, 2004.
  15. Henseler, J., Ringle, C. M., and Sinkovics, R. R., The Use of Partial Least Squares Path Modeling in International Marketing, Advances in International Marketing, vol. 20, pp. 277-319, 2009.
  16. Hills, P., and Argyle, M., Uses of the Internet and Their Relationships with Individual Differences in Personality, Computers in Human Behavior, vol. 19, pp. 59-70, 2003. https://doi.org/10.1016/S0747-5632(02)00016-X
  17. Jeffers, P. I., Muhanna, W. A., and Nault, B. R., Information Technology and Process Performance: An Empirical Investigation of the Interaction between IT and Non-IT Resources, Decision Sciences, vol. 39, no. 4, pp. 703-734, 2008. https://doi.org/10.1111/j.1540-5915.2008.00209.x
  18. Joe, S., Dilemma of Mobile Instant Messengers, LG Business Insight, pp. 17-23, 2012.
  19. Kraut, R., Patterson, M., Lundmark, V., Kiesler, S., Mukopadhyay, T., and Scherliss, W., Internet Paradox: A Social Technology That Reduces Social Involvement and Psychological Well-Being, American Psychologist, vol. 53, no. 9, pp. 1017-1031, 1998. https://doi.org/10.1037/0003-066X.53.9.1017
  20. Kraut, R., Kiesler, S., Boneva, B., Cummings, J., Helgeson, V., and Crawford, A., Internet Paradox Revisited, Journal of Social Isseus, vol. 58, no. 1, pp. 49-74, 2002. https://doi.org/10.1111/1540-4560.00248
  21. Malhotra, N. K., Kim, S. S., and Patil, A., Common Method Variance in IS Research: A Comparison of Alternative Approaches and a Reanalysis of Past Research, Management Science, vol. 52, no. 12, pp. 1865-1883, 2006. https://doi.org/10.1287/mnsc.1060.0597
  22. Masi, C. M., Chen, H. Y., Hawkley, L. C., and Cacioppo, J. T., A meta-Analysis of Interventions to Reduce Loneliness, Personality and Social Psychology Review, vol. 15, no. 3, pp. 219-266, 2011. https://doi.org/10.1177/1088868310377394
  23. Nunnally, J. C., and Bernstein, I. H., Psychometric Theory, 3rd eds. McGraw-Hill Inc., New York, 1994.
  24. Peplau, L. A., and Perlman, D., Blueprint for a Social Psychological Theory of Loneliness, In M. Cook & G. Wilson (Eds.), Love and Attraction, Oxford, England: Pergamon, pp. 99-108, 1979.
  25. Ping, R. A., On Assuring Valid Measures for Theoretical Models Using Survey Data, Journal of Business Research, vol. 57, pp. 125-141, 2004. https://doi.org/10.1016/S0148-2963(01)00297-1
  26. Podsakoff, P. M., MacKenzie, S. B., Lee, J. Y., and Podsakoff, N. P., Common Method Biases in Behavioral Research: A Critical Review of the Literature and Recommended Remedies, Journal of Applied Psychology, vol. 88, no. 5, pp. 879-903, 2003. https://doi.org/10.1037/0021-9010.88.5.879
  27. Ringle, C. M., Wende, S., and Will, A., SmartPLS 2.0 (beta), Hamburg, Germany, 2005.
  28. Robins, J., Partial-Least Squares, Long Range Planning, vol. 45, pp. 309-311, 2012. https://doi.org/10.1016/j.lrp.2012.10.002
  29. Russell, D., Peplau, L. A., and Ferguson, M. L., Developing a Measure of Loneliness, Journal of Personality Assessment, vol.42, no.3, pp. 290-294, 1978. https://doi.org/10.1207/s15327752jpa4203_11
  30. Segars, A., Assessing the Unidimensionality of Measurement: A Paradigm and Illustration within the Context of Information Systems Research, Omega, vol. 25, no. 1, pp. 107-121, 1997. https://doi.org/10.1016/S0305-0483(96)00051-5
  31. Sosik, J. J., Kahai, S. S., and Piovoso, M. J., Silver Bullet or Voodoo Statistics? A Primer for Using the Partial Least Squares Data Analytic Technique in Group and Organization Research, Group and Organization Management, vol. 34, no. 1, pp. 5-36, 2009. https://doi.org/10.1177/1059601108329198
  32. Tenenhaus, M., Vinzi, V. E., Chaterlin, Y. M., and Lauro, C., PLS Path Modeling, Computational Statistics & Data Analysis, vol. 48, no. 1, pp. 159-205, 2005. https://doi.org/10.1016/j.csda.2004.03.005
  33. Tinsley, H. E. A., and Tinsley, D. J., Uses of Factor Analysis in Counseling Psychology Research, Journal of Counseling Psychology, vol. 34, no. 4, pp. 414-424, 1987. https://doi.org/10.1037/0022-0167.34.4.414
  34. Weiss, R. S., Loneliness: The Experience of Emotional and Social Isolation, Cambridge, MA: MIT Press, 1973.
  35. Wetzels, M., Odekerken-Schröder, G., and van Oppen, C., Using PLS Path Modeling for Assessing Hierarchical Construct Models: Guidelines and Empirical Illustration, MIS Quarterly, vol. 33, no. 1, pp. 177-195, 2009. https://doi.org/10.2307/20650284