Abstract
A Project Management Information System (PMIS) is a key Information System (IS) tool used for the successful completion of construction projects and the achievement of organizational goals. This study investigated the effects of computer self-efficacy and IS quality (information, system, and service quality) on perceived net benefits of PMIS. The study used the updated DeLone and McLean Information System Success Model (D&M ISSM) as a theoretical foundation. The proposed model was tested empirically by using survey data collected from 379 construction professionals. The empirical results suggest that construction professionals’ perceived benefits are determined by behavioral intention to use and user satisfaction, and that these are in turn influenced by computer self-efficacy and PMIS quality.
Similar content being viewed by others
References
Ali, A. S. B., Anbari, F. T., and Money, W. H. (2008). “Impact of organizational and project factors on acceptance and usage of project management software and perceived project success.” Project Management Journal, Vol. 39, No. 2, pp. 5–33, DOI: 10.1002/pmj.20041.
Anderson, J. C. and Gerbing, D. W. (1988). “Structural equation modeling in practice: A review and recommended two-step approach.” Psychological Bulletin, Vol. 103, No. 3, pp. 411, DOI: 10.1037/0033-2909.103.3.411.
Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory, Prentice-Hall, Englewood Cliffs, NJ.
Barclay, D., Higgins, C., and Thompson, R. (1995). “The Partial Least Squares (PLS) approach to causal modeling: Personal computer adoption and use as an illustration.” Technology Studies, Vol. 2, No. 2, pp. 285–309.
Bhattacherjee, A. (2001). “Understanding information systems continuance:An expectation-confirmation model.” MIS Quarterly, Vol. 25, No. 3, pp. 351–370, DOI: 10.2307/3250921.
Chatterjee, S., Chakraborty, S., Sarker, S., Sarker, S., and Lau, F. Y. (2009). “Examining the success factors for mobile work in healthcare: A deductive study.” Decision Support Systems, Vol. 46, No. 3, pp. 620–633, DOI: 10.1016/j.dss.2008.11.003.
Chien, S. W. and Tsaur, S. M. (2007). “Investigating the success of ERP systems: Case studies in three Taiwanese high-tech industries.” Computers in Industry, Vol. 58, No. 8, pp. 783–793, DOI: 10.1016/j.compind.2007.02.001.
Compeau, D. R. and Higgins, C. A. (1995). “Computer self-efficacy: Development of a measure and initial test.” MIS Quarterly, Vol. 19, No. 2, pp. 189–211, DOI: 10.2307/249688.
Cronin, J. J., Brady, M. K., and Hult, G. T. M. (2000). “Assessing the effects of quality, value, and customer satisfaction on consumer behavioral intention to uses in service environments.” Journal of Retailing, Vol. 76, No. 2, pp. 193–218, DOI: 10.1016/S0022-4359(00)00028-2.
Davis, F. (1989). “Perceived usefulness, perceived ease of use, and user acceptance.” MIS Quarterly, Vol. 13, No. 3, pp 319–340, DOI: 10.2307/249008.
Davis, K.A. and Songer, A.D. (2009). “Resistance to IT change in the AEC industry: Are the stereotypes true?.” Journal of Construction Engineering and Management, Vol. 135, No. 12, pp. 1324–1333, DOI: 10.1061/(ASCE)CO.1943-7862.0000108.
DeLone, W. H. and McLean, E. R. (1992). “Information systems success: The quest for the dependent variable.” Information Systems Research, Vol. 3, No. 1, pp. 60–95, DOI: 10.1287/isre.3.1.60.
DeLone, W. H. and McLean, E. R. (2003). “The DeLone and McLean model of information systems success: A ten-year update.” Journal of Management Information Systems, Vol. 19, No. 4, pp. 9–30.
Etezadi-Amoli, J. and Farhoomand, A. F. (1996). “A structural model of end user computing satisfaction and user performance.” Information & Management, Vol. 30, No. 2, pp. 65–73, DOI: 10.1016/0378-7206(95)00052-6.
Fishbein, M. and Ajzen, I. (1975). Belief, attitude, intention and behavior: An introduction to theory and research, Reading, MA: Addison-Wesley
Fornell, C. and Larcker, D. F. (1981). “Evaluating structural equation models with unobservable variables and measurement error.” Journal of Marketing Research, Vol. 18, No. 1, pp. 39–50, DOI: 10.2307/3151312.
Grover, V., Cheon, M. J., and Teng, J. T. (1996). “The effect of service quality and partnership on the outsourcing of information systems functions.” Journal of Management Information Systems, Vol. 12, No. 4, pp. 89–116
Hair, J. F., Anderson, R. E., Tatham, R. L., and Black, W. C. (1998). Multivariate data analysis with readings, Prentice-Hall, Upper Saddle River, NJ.
Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., and Tatham, R. L. (2006). Multivariate data analysis, 6th Ed., Prentice-Hall, Upper Saddle River, NJ.
Halawi, L. A., McCarthy, R. V., and Aronson, J. E. (2007). “An empirical investigation of knowledge management system success.” Journal of Computer Information Systems, Vol. 48, No. 2, pp. 121–135.
Han, S. H., Chin, K. H., and Chae, M. J. (2007). “Evaluation of CITIS as a collaborative virtual organization for construction project management.” Automation in Construction, Vol. 16, No. 2, pp. 199–211, DOI: 10.1016/j.autcon.2006.04.002.
Hewage, K. N., Ruwanpura, J. Y., and Jergeas, G. F. (2008). “IT usage in Alberta's building construction projects: Current status and challenges.” Automation in Construction, Vol. 17, No. 8, pp. 940–947, DOI: 10.1016/j.autcon.2008.03.002.
Hu, L. T. and Bentler, P. M. (1999). “Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives.” Structural Equation Modeling: A Multidisciplinary Journal, Vol. 6, No. 1, pp. 1–55, DOI: 10.1080/10705519909540118.
Igbaria, M. (1993). “User acceptance of microcomputer technology: An empirical test.” Omega, Vol. 21, No. 1, pp. 73–90, DOI: 10.1016/0305-0483(93)90040-R.
Igbaria, M. and Tan, M. (1997). “The consequences of information technology acceptance on subsequent individual performance.” Information & Management, Vol. 32, No. 3, pp. 113–121, DOI: 10.1016/S0378-7206(97)00006-2.
Jaafari, A. and Manivong, K. (1998). “Towards a smart project management information system.” International Journal of Project Management, Vol. 16, No. 4, pp. 249–265, DOI: 10.1016/S0263-7863(97)00037-9.
Lee, S.-K. and Yu, J.-H. (2012). “Success model of project management information system in construction.” Automation in Construction, Vol. 25, pp. 82–93, DOI: 10.1016/j.autcon.2012.04.015.
Lin, H. F. (2007). “Measuring online learning systems success: Applying the updated DeLone and McLean model.” Cyberpsychology & Behavior, Vol. 10, No. 6, pp. 817–820, DOI: 10.1089/cpb.2007.9948.
Mason, R. O. (1978). “Measuring information output: A communication systems approach.” Information & Management, Vol. 1, No. 5, pp. 219–234, DOI: 10.1016/0378-7206(78)90028-9.
Mathieson, K. (1991). “Predicting user intentions: Comparing the technology acceptance model with the theory of planned behavior.” Information Systems Research, Vol. 2, No. 3, pp. 173–191, DOI: 10.1287/isre.2.3.173.
Nitithamyong, P. and Skibniewski, M. J. (2006). “Success/failure factors and performance measures of web-based construction project management systems: Professionals' viewpoint.” Journal of Construction Engineering and Management, Vol. 132, No. 1, pp. 80–87, DOI: 10.1061/(ASCE)0733-9364(2006)132:1(80).
Nunnally, J. C. (1978). Psychometric theory, 2nd Ed., McGraw–Hill, New York, NY.
Padilla-Meléndez, A., Garrido-Moreno, A., and Del Aguila-Obra, A. R. (2008). “Factors affecting e-collaboration technology use among management students.” Computers & Education, Vol. 51, No. 2, pp. 609–623, DOI: 10.1016/j.compedu.2007.06.013.
Parasuraman, A., Zeithaml, V. A., and Berry, L. L. (1985). “A conceptual model of service quality and its implications for future research.” The Journal of Marketing, Vol. 49, No. 4, pp. 41–50, DOI: 10.2307/1251430.
Peansupap, V. and Walker, D. H. T. (2005). “Factors enabling information and communication technology diffusion and actual implementation in construction organizations.” Electronic Journal of Information Technology in Construction, Vol. 10, No. 14, pp. 193–218.
Petter, S. and McLean, E. R. (2009). “A meta-analytic assessment of the DeLone and McLean IS success model: An examination of IS success at the individual level.” Information & Management, Vol. 46, No. 3, pp. 159–166, DOI: 10.1016/j.im.2008.12.006.
Rai, A., Lang, S. S., and Welker, R. B. (2002). “Assessing the validity of IS success models: An empirical test and theoretical information analysis.” Information System Research, Vol. 13, No. 1, pp. 50–69, DOI: 10.1287/isre.13.1.50.96.
Raymond, L. and Bergeron, F. (2008). “Project management information systems: An empirical study of their impact on project managers and project success.” International Journal of Project Management, Vol. 26, No. 2, pp 213–220, DOI: 10.1016/j.ijproman.2007.06.002.
Roca, J. C., Chiu, C. M., and Martínez, F. J. (2006). “Understanding elearning continuance intention: An extension of the Technology Acceptance Model.” International Journal of Human–Computer Studies, Vol. 64, No. 8, pp. 683–696, DOI: 10.1016/j.ijhcs.2006.01.003.
Seddon, P. and Kiew, M. Y. (1996). “A partial test and development of DeLone and McLean's model of IS success.” Australasian Journal of Information Systems, Vol. 4, No. 1, pp. 90–109.
Shannon, C. E. and Weaver, W. (1949). The mathematical theory of communication, University of Illinois Press, Urbana, IL.
Shaw, N. C., DeLone, W. H., and Niederman, F. (2002). “Sources of dissatisfaction in end-user support: An empirical study.” ACM SIGMIS Database, Vol. 33, No. 2, pp. 41–56, DOI: 10.1145/513264.513272.
Thompson, B. (2004). Exploratory and confirmatory factor analysis: Understanding concepts and applications, American Psychological Association, Washington, DC.
Wang, S. M. and Chuan-Chuan Lin, J. (2011). “The effect of social influence on bloggers' usage intention.” Online Information Review, Vol. 35, No. 1, pp. 50–65, DOI: 10.1108/14684521111113588.
Wang, Y. and Liao, Y. (2008). “Assessing eGovernment systems success: A validation of the DeLone and McLean model of information systems success.” Government Information Quarterly, Vol. 25, No. 4, pp. 717–733, DOI: 10.1016/j.giq.2007.06.002.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Son, H., Hwang, N., Kim, C. et al. Construction professionals’ perceived benefits of PMIS: The effects of PMIS quality and computer self-efficacy. KSCE J Civ Eng 20, 564–570 (2016). https://doi.org/10.1007/s12205-015-0138-1
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12205-015-0138-1