CFP last date
21 October 2024
Call for Paper
November Edition
IJCA solicits high quality original research papers for the upcoming November edition of the journal. The last date of research paper submission is 21 October 2024

Submit your paper
Know more
The week's pick
Responsive image
Artificial Bee Colony (ABC) optimization Algorithm Based Automatic Segmentation and Detection of Suspicious Lesions in Lung CT Images

Divya A. Janaki Sathya D.
Random Articles
Reseach Article

The Impact of Information System Success Factors, Human Resource Staff Satisfaction, and E-Human Resource Use on Organizational Benefit

by Mazen Kamal Qteishat
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 105 - Number 2
Year of Publication: 2014
Authors: Mazen Kamal Qteishat
10.5120/18346-9453

Mazen Kamal Qteishat . The Impact of Information System Success Factors, Human Resource Staff Satisfaction, and E-Human Resource Use on Organizational Benefit. International Journal of Computer Applications. 105, 2 ( November 2014), 1-7. DOI=10.5120/18346-9453

@article{ 10.5120/18346-9453,
author = { Mazen Kamal Qteishat },
title = { The Impact of Information System Success Factors, Human Resource Staff Satisfaction, and E-Human Resource Use on Organizational Benefit },
journal = { International Journal of Computer Applications },
issue_date = { November 2014 },
volume = { 105 },
number = { 2 },
month = { November },
year = { 2014 },
issn = { 0975-8887 },
pages = { 1-7 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume105/number2/18346-9453/ },
doi = { 10.5120/18346-9453 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:36:35.757935+05:30
%A Mazen Kamal Qteishat
%T The Impact of Information System Success Factors, Human Resource Staff Satisfaction, and E-Human Resource Use on Organizational Benefit
%J International Journal of Computer Applications
%@ 0975-8887
%V 105
%N 2
%P 1-7
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Organizations have limited resources for investment making it imperative that resources utilized provide some benefit for the organization. Electronic human resource management (E-HRM) systems have been shown to have notable benefits for the organization including cost saving capabilities. However, when implemented in practice E-HRM systems consistently fail to produce desired results. Given these issues, the current investigation sought to determine factors relating to organizational outcomes through the use of E-HRM. Specifically, the DeLone and McLean Model of Information Systems Success were modified for the analysis of E-HRM systems. The results indicate that service and information quality impact staff satisfaction with E-HRM, leading to the intent to use the system and benefits for the organization

References
  1. AlShibly Haitham (2011). Human Resources Information Systems success Assessment: An integrative model. Australian Journal of Basic and Applied Sciences, 5(5): 157-169, 2011
  2. Andrew, D. P. S. , Pedersen, P. M. , & McEvoy, C. D. (2011). Research methods and design in sport management. Champaign, IL: Human Kinetics.
  3. Bell, B. S. , Lee, S. , & Yeung, S. K. (2006). The impact of e-HR on professional competence in HRM: Implications for the development of HR professionals. Human Resource Management, 45(3), 295-308.
  4. Bondarouk, T. , Ruel, H. , & van der Heijden, B. (2009). e-HRM effectiveness in a public sector organization: A multi-stakeholder perspective. International Journal of Human Resource Management, 20(3), 578-590.
  5. Bondarouk, T. V. , & Ruel, H. J. M. (2009). Electronic human resource management: Challenges in the digital era. International Journal of Human Resource Management, 20(3), 505-514.
  6. Chang, C. S. , Chen, S. Y. , & Lan, Y. T. (2012). Motivating medical information system performance by system quality, service quality and job satisfaction for evidence-based practice. BMC Medical Informatics and Decision Making, 12, 135-147.
  7. DeLone, W. H. , & McLean, E. R. (2003). The DeLone and McLean Model of Information Systems Success: A ten-year update. Journal of Management Information Systems, 19(4), 9-30.
  8. DeLone, W. H. , & McLean, E. R. (2004). Measuring e-Commerce success: Applying the DeLone and McLean Information Systems Success Model. International Journal of Electronic Commerce, 9(1), 31-47.
  9. Eom, S. B. (2011). Relationships among e-learning systems and e-learning outcomes: A path analysis model. Human Systems Management, 30(4), 229-241.
  10. Furtmueller, E. , Wilderom, C. , & Tate, M. (2011). Managing recruitment and selection in the digital age: E-HRM and resumes. Human Systems Management, 30(4), 243-259.
  11. Gainey, T. W. , & Klaas, B. S. (2008). The use and impact of e-HR: A survey of HR professionals. People & Strategy, 31(3), 50-55.
  12. Girard, A. , & Fallery, B. (2010). Human resource management on internet: New perspectives. Journal of Contemporary Management Research, 4(2), 1-14.
  13. Hooi, L. W. (2006). Implementing e-HRM: The readiness of small and medium sized manufacturing companies in Malaysia. Asia Pacific Business Review, 12(4), 465-485.
  14. Keebler, T. J. , & Rhodes, D. W. (2002). E-HR: Becoming the "path of least resistance. " Employment Relations Today, 29(2), 57-66.
  15. Laumer, S. , Eckhardt, A. , & Weitzel, T. (2010). Electronic human resources management in an e-business environment. Journal of Electronic Commerce Research, 11(4), 240-250.
  16. Lengnick-Hall, M. L. , & Moritz, S. (2003). The impact of e-HR on the human resource management function. Journal of Labor Research, 24(3), 365-379.
  17. Lin, L. (2011). Electronic human resource management and organizational innovation: The roles of information technology and virtual organizational structure. International Journal of Human Resource Management, 22(2), 235-257.
  18. Marler, J. (2009). Making human resources strategic by going to the net: Reality or myth? International Journal of Human Resource Management, 20(3), 515-527.
  19. Nura, A. A. , Kumar, M. D. , & Osman, M. H. Employer's attitude towards e-human resource management adoption: Research on higher educational institutions in Sokoto State, Nigeria. Skyline Business Journal, 7(1), 1-10.
  20. Oiry, E. (2009). Electronic human resource management: Organizational responses to role conflicts created by e-learning. International Journal of Training & Development, 13(2), 111-123.
  21. Panayotopoulou, L. , Galanaki, E. , & Papalexandris, N. (2010). Adoption of electronic systems in HRM: Is national background of the firm relevant? New Technology, Work & Employment, 25(3), 253-269.
  22. Parry, E. (2011). An examination of e-HRM as a means to increase the value of HR function. International Journal of Human Resource Management, 22(5), 1146-1162.
  23. Parry, E. , & Tyson, S. (2011). Desired goals and actual outcomes of e-HRM. Human Resource Management, 21(3), 335-354.
  24. Petter, S. , DeLone, W. , & McLean, E. R. (2013). Information systems success: The quest for independent variables. Journal of Management Information Systems. , 29(4), 7-62.
  25. Ruel, H. , & van der Kaap, H. (2013). E-HRM usage and value creation: Does a facilitating context matter? German Journal of Research in Human Resource Management, 26(3), 260-281.
  26. Ruel, H. , Bondarouk, T. , & Looise, J. K. (2004). E-HRM: Innovation or irritation. A explorative empirical study in five large companies on web-based HRM. Management Revue, 15(3), 364-380.
  27. Strohmeier, S. (2009). Concepts of e-HRM consequences: A categorization, review and suggestion. International Journal of Human Resource Management, 20(3), 528-543.
  28. Teddlie, C. , & Tashakkori, A. (2009). Foundations of mixed methods research: Integration quantitative and qualitative approaches in the social and behavioral sciences. Thousand Oaks, CA: Sage.
  29. Wahyudi, E. , & Park, S. M. (2014). Unveiling the value creation process of electronic human resource management: An Indonesian case. Public Personnel Management, 43(1), 83-117.
  30. Wu, C. , & Hou, C. (2010). Design of adaptive knowledge learning and management system for large food and beverage industry based on sharing and discussion technique. Journal of Theoretical & Applied Information Technology, 21(2), 98-106.
Index Terms

Computer Science
Information Sciences

Keywords

Electronic Human Resource Management E-HRM human resource management DeLone and McLean Model service quality information quality.

Powered by PhDFocusTM