Journal of the Korea Society of Computer and Information (한국컴퓨터정보학회논문지)

Korean Society of Computer Information (한국컴퓨터정보학회)
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Study on Acceptance Factors of Information Technology in Construction Industries according to Individual's Features

건설분야에서 개인 특성에 따른 Information Technology 수용 요인에 관한 연구

  • Park, Eun Soo (Research Institute of Engineering and Technology, Hanyang University)
  • 박은수 (한양대학교 공학기술연구소)
  • Received : 2013.04.12
  • Accepted : 2013.04.22
  • Published : 2013.04.30
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Abstract

In the recent information-oriented age, various information technologies (ITs) have been introduced in construction industries. However, since construction ITs tend to be employed by the demand of the government or owners rather than the demand of information accepters (users), this tendency inhibits the spread of user-friendly construction ITs. In order to find these inhibitive factors, this research conducted practical studies, based on Davis' technology acceptance model, for construction ITs' acceptance according to the information accepters' (users) features. This study was hypothesized whether or not each inner and outer factors with respect to construction ITs are influential to the information accepters (users). As a result of this study, the primary factors which can maximize the usefulness and ease of use and should be considered when developing new information technologies were suggested.

본 연구는 최근 정보화 시대의 확산에 따라 건설분야 역시 다양한 건설IT 및 정보기술의 도입이 확산되고 있다. 그러나 건설분야에서의 IT 및 정보기술은 정보 기술 수요자(사용자)의 요구 및 필요에 따라 사용되지 못하고 정부 및 발주자의 요구에 의해 맹목적으로 받아들여지고 있어 건설IT 기술의 확산의 저해요인으로 작용하고 있다. 이를 개선하기 위해 본 연구는 Davis의 기술수용모형을기초로 건설분야에서 정보화기술을 사용하는 수용자(사용자)의 특성에 따른 건설IT 수용 요인을 분석하기 위한 연구이다. 가설 수립을 통해 건설분야에서 활용되고 있는 정보기술에 대해 정보 수용자(사용자)에게 미치는 영향력을 내 외부 요인별로 제시하였다. 수립한 건설IT 기술수용모형을 통해 새로운 정보화 기술을 도입하기 전 건설IT 기술에 대한 정보 수용자들의 용이성 및 유용성을 극대화 할 수 있는 요인들을 특성에 맞게 도출하였다.

Keywords

References

  1. Sichel, D. E., "The Computer Revolution: An Economic Perspective," The Brookings Institution, Washington, DC., 1997
  2. Ajzen, I. and Fishbein, M., "Understanding Attitudes and Predicting Social Behavior," Prentice Hall, Englewood Cliffs, NJ, 1980.
  3. Ajzen, I., "The Theory of Planned Behavior," Organizational Behavior and Human Decision Processes, Vol. 50, pp. 179-211, 1991 https://doi.org/10.1016/0749-5978(91)90020-T
  4. Terry, D. J. and J. E. O'Leary., "The Theory of Planned Behavior: The Effects of Perceived Behavioral Control and Self-Efficacy," British Journal of Psychology, Vol. 35, pp. 199-220, 1995.
  5. Davis, F. D., "Perceived Usefulness, Perceived Ease of Use," and User Acceptance of Information Technology," MIS Quartely, Vol. 13, pp. 318-339, 1989.
  6. Chau, P. Y. K., "An Empirical Assessment of a Modified Technology Acceptance Model," Journal of MIS, Vol. 13, No. 2, pp. 185-204, 1996.
  7. Gefen, D., "TAM or Just Plain Habit: A Look at Experienced Online Shoppers," Journal of End User Computing, Vol. 15, No. 3, pp. 1-13, 2003.
  8. Lee, S. H., Lee, E. O., Woo, J. P., "Antecedents of purchase Intention toward Fashion T-Commerce : Application of Technology Acceptance Model," Korean Society of Consumer Studies, Vol. 22, No.1, pp. 99-115, 2011
  9. Zmud, R. W., "Individual differences and MIS success: a review of the empirical literature," Management Science, Vol. 25, No. 10, pp. 966-979, 1979. https://doi.org/10.1287/mnsc.25.10.966
  10. Fazio, R. H., "On the Power and Functionality of Attitudes: The Role of Attitude Accessibility, in A. R. Pratkans, S. J., Breckler, and A. G. Greenward (Eds.)," Attitude Structure and Function, Lawrence Erlbaum Associates, Hillsdale, NJ, 1989.
  11. Bajaj, A. and Nidumolu, S. R., "A feedback model to understand information system usage," Information & Management, Vol. 33, No. 4, pp. 213-224, 1998. https://doi.org/10.1016/S0378-7206(98)00026-3
  12. Fenech, T., "Using perceived ease of use and perceived usefulness to predict acceptance of the World Wide Web," Computer Networks and ISDN System, Vol. 30, No. 1-7, pp. 629-630, 1998 https://doi.org/10.1016/S0169-7552(98)00028-2
  13. Agarwal, R. and Karahanna, E., "Time flies when youre having fun: cognitive absorption and beliefs about information technology usage," MIS quartely, Vol. 24, No. 4, pp. 665-694, 2000. https://doi.org/10.2307/3250951
  14. Kim, T. S., Jin, Y. H., "The Effect of the Food Traceability System Application Applied with the TAM on Consumer Confidence," The Korea Academic Society of Culinary, Vol. 17, No. 4, pp. 74-87, 2011.
  15. Na, Y. K., "A Study of the Purchase Behavior of Fashion Merchandise for the Internet Shopping-mall Using Extended Technology Acceptance Model(ETAM); In Case of Perceived Value, Risk and Trust in Internet Shopping," Korea Internet e-Commerce Association, Vol. 10, No. 3, pp. 27-49, 2010.
  16. Jang, Y. S., "A Study on Effect of Intention of Usage and Quality Characteristics on Professional Sports Teams Web-Site by the Extended Technology Acceptance Model," Thesis of Master degree, Graduate School of Kyunghee University, 2013.
  17. Rogers, E. M., "Diffusion of Innovations", Free Press, New York, 1995.
  18. Larsen, T., Wetherbe. J., "An exploratory field study of differences in information technology use between more-and less-innovative middle managers," Information & Management, Vol. 36, pp. 93-108, 1999. https://doi.org/10.1016/S0378-7206(99)00006-3
  19. Chan, Y. E. and Storey, V. C., "The Use of Spreadsheets in Organizations: Determinants and Consequences," Information & Management, Vol. 31, pp. 119-134, 1996. https://doi.org/10.1016/S0378-7206(96)00008-0
  20. Romm, C. T., Pliskin, and Rifkin, W. D., "Diffusion of E-mail: An Organizational Learning Perspective," Information & Management, Vol. 31, No. 1, pp. 37-46, 1996. https://doi.org/10.1016/S0378-7206(96)01070-1
  21. Hong, W. U., Thong, J. Y. L., Wong, W. M., Tam, K. Y., "Determinants of user acceptance of digital libraries-An empirical examination of individual differences and systems characteristics," Journal of Management Information System, Vol. 18, No. 3, pp. 97-124, 2001.
  22. Marios Koufaris, "Applying the Technology Acceptance Model and Flow Theory to Online Consumer Behavior", Information System Research, Vol. 13, pp. 205-223, 2002. https://doi.org/10.1287/isre.13.2.205.83
  23. Igbaria, M., Guimaraes, T. and Davis, G. B., "Testing the determinants of microcomputer usage via a structural equation model," Journal of Management Information System, Vol. 11, No. 4, pp. 87-114, 1995. https://doi.org/10.1080/07421222.1995.11518061
  24. Nunnally, J. C., & Bernstein, I. H., "Psychometric Theory," 3rd., McGraw Hill, New York, 1994.
  25. Jang, S. W., Yoon, H. S., Kim, J. U., Huh, M. H., "Development of a Portal System for Information Integration of Construction Business Processes," Journal of the Korea Society Computer and Information, Vol. 14, No. 8, pp. 33-41, 2009.
  26. Kwon, S. H., Lim, Y. W., "A study for rejection and acceptance for Information technology innovative products:Based on Smart phone usage intention of General mobile phone users," Journal of the Korea Society Computer and Information, Vol. 17, No. 1, pp. 219-226, 2012.

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