Journal of information and communication convergence engineering

The Korea Institute of Information and Commucation Engineering (한국정보통신학회)
권호 표지

An Empirical Study on Information Technology Acceptance for e-Commerce Back-office Systems in Developing Countries

  • Tumibay, Gilbert M. (Graduate Student of Hannam University) ;
  • Kim, Chong-Su (Dept of Industrial & Mgmt Eng, Hannam University) ;
  • Sung, Kyung (Dept of Computer Education, Mokwon University)
  • Published : 2009.12.31
Download PDF
⟨ Previous Next ⟩

Abstract

Gains promised by the introduction of e-commerce back-office systems are not easily realized due to poor technology acceptance, especially in developing countries. This study aims to analyze factors which affect information technology acceptance in developing countries. A research model based on TAM is proposed, and it is empirically tested for the hypotheses of factors which affect the acceptance behavior. The result shows that antecedents such as user training influence the technology acceptance in different ways. This study may help accelerate the adoption of back-office systems in developing countries.

Keywords

References

  1. Stone, D. L., Stone-Romero, E. F. and Lukaszewsk, K. "Factors Affecting the Acceptance and Effectiveness of Electronic Human Resource Systems," Vol. 16, No. 2, 2006, pp. 229-244 https://doi.org/10.1016/j.hrmr.2006.03.010
  2. Honeycutt, E. D., Thelen, T., Thelen, S. T. and Hodge, S. K. "Impediments to Sales Force Automation," Industrial Marketing Management, Vol. 34, 2005, pp. 313-322 https://doi.org/10.1016/j.indmarman.2004.09.012
  3. Amoako-Gyampah, K. and Salam, A. F. "An Extension of the Technology Acceptance Model in an ERP implementation environment," Information and Management, Vol. 41, 2004, pp. 731-745 https://doi.org/10.1016/j.im.2003.08.010
  4. Davis, F. D. "Perceived Usefulness, Perceived Ease of Use and User Acceptance of Information Technology," MIS Quarterly, Vol. 3, No. 3, 1989, pp. 319-339 https://doi.org/10.2307/249008
  5. Venkatesh, V. and Davis, F. D. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Studies," Management Science, Vol. 46, No. 2, 2000, pp. 186-204 https://doi.org/10.1287/mnsc.46.2.186.11926
  6. Avlonitis, G. J. and Panagopoulos, N. G. "Antecedents and Consequences of CRM Technology Acceptance in the Sales Force," Industrial Marketing Management, Vol. 34, 2005, pp. 355-368 https://doi.org/10.1016/j.indmarman.2004.09.021
  7. Warshaw, P. R. "A New Model for Predicting Behavioral Intentions: An Alternative to Fishbein," Journal of Marketing Research, Vol. 17, 1980, pp. 153-172 https://doi.org/10.2307/3150927
  8. Agarwal, R. and Prasad, J. "The Role of Innovation Characteristics and PerceivedVoluntariness in the Acceptance of Information Technologies," Decision Sciences, Vol. 28, No. 3, 1997, pp. 557-582 https://doi.org/10.1111/j.1540-5915.1997.tb01322.x
  9. Igbaria, M., Zinatelli, N., Cragg, P. and Cavaye, A. "Personal Computing Acceptance Factors in Small Firms: A Structural Equation Model," Management Information System Quarterly, 1997, pp. 279-305 https://doi.org/10.2307/249498
  10. Schillewaert, N., Ahearne, M. J., Frambach, R. T. and Moenaert, R. K. "The Adoption of Information Technology in the Sales Force," Industrial Marketing Management, Vol. 34, 2005, pp. 323-336 https://doi.org/10.1016/j.indmarman.2004.09.013
  11. Atkin, D. and LaRose, R. "An Analysis of the Information Services Adoption Literature," Advances in Telematics, New York: Ablex, 1994, pp. 91-110
  12. Straub, D., Boudreau, M. C. and Gefen, D. "Validation Guidelines for IS Positivist Research," Communications of AIS, Vol. 1, No. 3, 2004, pp. 380-427
  13. Gefen, D., Straub, D. W., and Boudreau, M. C. "Structural Equation Modeling and Regression: Guidelines for Research Practice," Communications of the Association for Information Systems, Vol. 4, No. 7, 2000, pp 1-70
  14. Malhotra, Y. and Galleta, D. F. "Extending the Technology Acceptance Model to Account for Social Influence: Theoretical Bases and Empirical Validation," Proceedings of the 32nd Hawaii International Conference on System Sciences, 1999, pp. 1-14 https://doi.org/10.1109/HICSS.1999.772658
  15. Hooper, D., Caughlan, J. and Mullen, M. R. "Structural Equation Modeling: Guidelines for Determining Model Fit," The Electronic Journal of Business Research, Vol. 6. No. 1, 2008, pp. 53-60
  16. Barrett, P. "Structural Equation Modeling: Adjusting Model Fit," Personality and Individual Differences, Vol. 42, No. 5, 2007, pp. 815-824 https://doi.org/10.1016/j.paid.2006.09.018