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Factors Influencing the Successful Adoption of Human Resource Information System: The Content of Aqaba Special Economic Zone Authority

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DOI: 10.4236/iim.2013.51001    6,609 Downloads   11,330 Views   Citations


This study examines the key factors that have impact on the successful adoption of Human Resource Information System (HRIS) within the Aqaba Special Economic Zone Authority (ASEZA)/Jordan. In order to accomplish the purpose of the study four critical factors are inquired. So, four critical factors are inquired: First, TAM Model (Perceived Ease of Use (PEOU) and Perceived Usefulness (PU)). Second, Information Technology Infrastructure (ITI). Third, Top Management Support (TMS). Finally, Individual Experience with Computer (IEC). The research model was applied to collect data from the questionnaires answered by 45 users of HRIS as a source of primary data, based on a convenience sample the response rate was about 91%. In addition, the results were analyzed by utilizing the Statistical Package for Social Software (SPSS). Furthermore, the findings were analyzed; multiple Regression analysis indicated that all research variables have significant relationship on successful adoption of HRIS. The findings indicated IT infrastructures have a positive and significant effect on the successful adoption of HRIS. But there is no significant of PU, PEOU, TMS, and IEC on the successful adoption of HRIS. Finally, the results indicated that no significant statistical differences of demographic characteristics on HRIS adoption. Depending on the researchs findings; the researchers proposed a set of recommendations for better adoption of HRIS in SEZA.

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H. Al-Mobaideen, S. Allahawiah and E. Basioni, "Factors Influencing the Successful Adoption of Human Resource Information System: The Content of Aqaba Special Economic Zone Authority," Intelligent Information Management, Vol. 5 No. 1, 2013, pp. 1-9. doi: 10.4236/iim.2013.51001.


[1] M. Hitt, J. Wu and X. Zhou, “Investment in Enterprise Resource Planning: Business Impact and Productivity Measures,” Journal of Management Information Systems, Vol. 19, No. 1, 2002, pp. 71-98.
[2] S.-W. Chien and S.-M. Tsaur, “Investigating the Success of ERP Systems: Case Studies in Three Taiwanese High-Tech Industries,” Computers in Industry, Vol. 58, No. 8-9, 2007, pp. 783-793.
[3] H. Delone, “Determinants of Success for Computer Usage in Small Business,” MIS Quarterly, Vol. 12, No. 1, 1988, pp. 51-56.
[4] C.-S. Ong and J.-Y. Lai, “Gender Differences in Perceptions and Relationships among Dominants of E-Learning Acceptance,” Computers in Human Behavior, Vol. 22, No. 5, 2006, pp. 816-829. doi:10.1016/j.chb.2004.03.006
[5] W. Brockbank, “If HR Were Really Strategically Proactive: Present and Future Directions in HR’s Contribution to Competitive Advantage,” Human Resource Management, Vol. 38, No. 4, 1999, pp. 337-352. doi:10.1002/(SICI)1099-050X(199924)38:4<337::AID-HRM8>3.0.CO;2-5
[6] G. DeSanctis, “Human Resource Information Systems— A Current Assessment,” MIS Quarterly, Vol. 10, No. 1, 1986, pp. 15-27. doi:10.2307/248875
[7] M. Lengnick-Hall and C. Lengnick-Hall, “Human Resource Management in the Knowledge Economy,” Berrett-Koehler Publishers, San Francisco, 2003.
[8] A. Hendrickson, “Human Resources Information Systems: Backbone Technology of Contemporary Human Resources,” Journal of Labor Research, Vol. 24, No. 3, 2003, p. 381.
[9] A. Kovach, A. Hughes, P. Fagan and G. Maggitti, “Administrative and Strategic Advantages of HRIS,” Employment Relations Today, Vol. 29, No. 2, 2002, pp. 43-48. doi:10.1002/ert.10039
[10] T. Lam, V. Cho and H. Qu, “A Study of Hotel Employee Behavioral Intentions towards Adoption of Information Technology,” Hospitality Management, Vol. 26, No. 1, 2007, pp. 49-65. doi:10.1016/j.ijhm.2005.09.002
[11] D. Dennison, “Corporate Culture and Organizational Effectiveness,” New York Wiley Digital Library, Vol. 28, No. 4, 1990, pp. 557-561.
[12] J. Arthur and T. Boyles, “Validating the Human Resource System Structure: A Levels-Based Strategic HRM Approach,” Human Resource Management Review, Vol. 17, No. 1, 2007, pp. 77-92.
[13] E. Delery and D. Doty, “Modes of Theorizing in Strategic Human Resource Management: Tests of Universalistic, Contingency, and Configurational Performance Predictions,” Academy of Management Journal, Vol. 39, No. 4, 1996, pp. 802-835. doi:10.2307/256713
[14] V. Aggelidis and P. Chatzoglou, “Using a Modified Technology Acceptance Model in Hospitals,” International Journal of Medical Informatics, Vol. 78, No. 2, 2009, pp. 115-126.
[15] J. Collins and G. Smith, “Knowledge Exchange and Combination: The Role of Human Resource Practices in the Performance of High Technology Firms,” Academy of Management Journal, Vol. 49, No. 3, 2006, pp. 544-560.
[16] L. Lederer, “Planning and Developing a Human Resource Information System,” The Personnel Administrator, Vol. 29, No. 8, 1984, pp. 27-39.
[17] B. Becker and B. Gerhart, “The Impact of Human Resource Management on Organizational Performance: Progress and Prospects,” Academy of Management Journal, Vol. 39, No. 4, 1996, pp. 779-801.
[18] A. Boateng, “The Role of Human Resource Information Systems (HRIS) in Strategic Human Resource Management (SHRM),” Master of Science Theses, Accounting Swedish School of Economics and Business Administration, Palovartijantie, 2007.
[19] A. Jeyaraj and R. Sabherwal, “Adoption of Information Systems Innovations by Individuals: A Study of Processes Involving Contextual, Adopter, and Influencer Actions,” Information and Organization, Vol. 18, No. 3, 2008, pp. 205-234. doi:10.1016/j.infoandorg.2008.04.001
[20] A. Kovach and R. Cathcart and E. Charles, “Human Resource Information Systems (HRIS): Providing Business with Rapid Data Access,” Information Exchange and Strategic Advantage—Public Personnel Management, Vol. 28, No. 2, 1999, pp. 275-282.
[21] Y.-C. Lee, M.-L. Li, T.-M. Yen and T.-H. Huang, “Analysis of Adopting an Integrated Decision Making Trial and Evaluation Laboratory on a Technology Acceptance Model,” Expert Systems with Applications, Vol. 37, No. 2, 2010, pp. 1745-1754. doi:10.1016/j.eswa.2009.07.034
[22] M. Gupta and A. Kohli, “Enterprise Resource Planning Systems and Its Implications for Operations Function,” Technovation, Vol. 26, No. 5-6, 2006, pp. 687-696. doi:10.1016/j.technovation.2004.10.005
[23] S. Behrens, K. Jamieson, D. Jones and M. Cranston, “Predicting System Success Using the Technology Acceptance Model: A Case Study,” The 16th Australasian Conference on Information Systems, Sydney, 30 November-2 December 2005, pp. 1-10.
[24] E. D?′ez and B. McIntosh, “A Review of the Factors Which Influence the Use and Usefulness of Information Systems,” Environmental Modelling & Software, Vol. 24, No. 5, 2009, pp. 588-602. doi:10.1016/j.envsoft.2008.10.009
[25] F. Calisir and F. Calisir, “The Relation of Interface Usability Characteristics, Perceived Usefulness, and Perceived Ease of Use to End-User Satisfaction with Enterprise Resource Planning (ERP) Systems,” Computers in Human Behavior, Vol. 20, No. 4, 2004, pp. 505-515. doi:10.1016/j.chb.2003.10.004
[26] H.-G. Hwang, C.-Y. Ku, D. Yen and C.-C. Cheng, “Critical Factors Influencing the Adoption of Data Warehouse Technology: A Study of the Banking Industry in Taiwan,” Decision Support Systems, Vol. 37, No. 1, 2004, pp. 1-21. doi:10.1016/S0167-9236(02)00191-4
[27] R. Cunha and M. Cunha, “Impact of Strategy, HRM Strength and HRM Bundles on Innovation Performance and Organizational Performance,” 2004.
[28] K. Mathieson, “Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior,” Information Systems Research, Vol. 2, No. 2, 1991, pp. 173-191. doi:10.1287/isre.2.3.173
[29] T. Hascher, “Quantitative and Qualitative Research Approaches to Assess Student Well-Being,” International Journal of Educational Research, Vol. 47, No. 2, 2008, pp. 84-96. doi:10.1016/j.ijer.2007.11.016
[30] P. Leedy and J. Ormrod, “Practical Research: Planning & design,” 7th Edition, Pearson Educational International & Prentice Hall, London, 2001.
[31] W. Neuman, “Social Research Methods: Qualitative & Quantitative Approaches,” 4th Edition, Allyn & Bacon, Boston & London, 2000.
[32] M. Eleyan, “Factors Influencing the Successful Adoption of Decision Support Systems: The Context of Aqaba Special Economic Zone Authority,” International Journal of Business & Management, Vol. 7, No. 2, 2011, pp. 61-74.
[33] E. Ngai, J. Poon and Y. Chan, “Empirical Examination of the Adoption of WebCT Using TAM,” Computers & Education, Vol. 48, No. 2, 2007, pp. 250-267. doi:10.1016/j.compedu.2004.11.007
[34] S. Bueno and J. Salmeron, “TAM-Based Success Modeling in ERP,” Interacting with Computers, Vol. 20, No. 6, 2008, pp. 515-523. doi:10.1016/j.intcom.2008.08.003
[35] L. Fink and N. Seev, “Exploring the Perceived Business Value of the Flexibility Enabled by Information Technology Infrastructure,” Information & Management, Vol. 46, No. 2, 2009, pp. 90-99.
[36] C. Law and E. Ngai, “ERP Systems Adoption: An Exploratory Study of the Organizational Factors and Impacts of ERP Success,” Information & Management, Vol. 44, No. 4, 2007, pp. 418-432. doi:10.1016/
[37] A. McDonald, “The Impact of Individual Differences on the Equivalence of Computer-Based and Paper-and-Pencil Educational Assessments,” Computers & Education, Vol. 39, No. 3, 2002, pp. 299-312. doi:10.1016/S0360-1315(02)00032-5

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