Preview

qualitative research on HRM

Powerful Essays
Open Document
Open Document
11720 Words
Grammar
Grammar
Plagiarism
Plagiarism
Writing
Writing
Score
Score
qualitative research on HRM
Journal of Strategic Information Systems 22 (2013) 193–207

Contents lists available at SciVerse ScienceDirect

Journal of Strategic Information Systems journal homepage: www.elsevier.com/locate/jsis

Analyzing the impact of HRIS implementations on HR personnel’s job satisfaction and turnover intention
Christian Maier a,⇑, Sven Laumer a, Andreas Eckhardt b, Tim Weitzel a a Centre of Human Resources Information Systems, University of Bamberg, Department of Information Systems and Services, An der Weberei 5, 96047
Bamberg, Germany b Centre of Human Resources Information Systems, University of Frankfurt am Main, Institute for Information Systems, Grueneburgplatz 1, 60323 Frankfurt am Main, Germany

a r t i c l e

i n f o

Article history:
Available online 23 October 2012
Keywords:
(Un)intended individual-level consequences
Work-related outcomes
IT acceptance
Job satisfaction
Turnover intention
HR identity e-Recruiting system
HRIS
Implementation

a b s t r a c t
An in-depth case of an e-Recruiting system implementation is used while focusing on the level of Human Resource (HR) employees to research unintended consequences during the implementation of Human Resources Information Systems (HRISs). We develop a model that integrates the belief and attitude component of the technology acceptance literature with work-related consequences. We provide evidence for an indirect effect of attitudes toward the HRIS on turnover intention that is fully mediated by job satisfaction. Our results contribute to the literature on systems implementations and technology adoption by suggesting work-related outcomes as important additional success variables.
Ó 2012 Elsevier B.V. All rights reserved.

1. Introduction
While advances in technology and management have routinely been used to advance primary business processes, the professionalization of Human Resources (HRs) processes often lags behind. Despite the widely acknowledged importance
of



References: Adams, K., 1991. Externalisation vs specialisation: what is happening to personnel? Human Resource Management Journal 1 (4), 40–53. Adler, P., 2003. Making the HR outsourcing decision. MIT Sloan Management Review 45 (1), 53–60. Bagozzi, R.P., 1979. The role of measurement in theory construction and hypothesis testing: toward a holistic model. In: Ferrell, O.C., Brown, S.W., Lamb, C.W Ball, K., 2001. The use of human resource management systems: a survey. Personnel Review 30 (6), 677–693. Baron, R.M., Kenny, D.A., 1986. The moderator–mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations Bartol, K.M., 1983. Turnover among DP personnel: a casual analysis. Communications of the ACM 26 (10), 807–811. Beckers, A.M., Bsat, M.Z., 2008. A DSS classification model for research in human resource information systems. Information Systems Management 19 (3), 1–10. Bondarouk, T., Ruël, H., 2009. Electronic human resource management: challenges in the digital era. International Journal of Human Resource 20 (3), 505– 514. Bondarouk, T., Ruël, 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. Boudreau, M.-C., Robey, D., 2005. Enacting integrated information technology: a human agency perspective. Organization Science 16 (1), 3–18. Brockbank, W., 1999. If HR were really strategically proactive: present and future directions in HR’s contribution to competitive advantage. Human Resource Management 38 (4), 337–352. Brown, S.A., Massey, A.P., Montoya-Weiss, M.M., Burkman, J.R., 2002. Do I really have to? User acceptance of mandated technology. European Journal of Information Systems 11, 283–295. Buckley, F., Monks, K., 2004. The implications of meta-qualities for HR roles. Human Resource Management Journal 14 (4), 41–56. Burke, R.J., 2001. Workaholism components, job satisfaction, and career progress. Journal of Applied Social Psychology 31 (11), 2339–2357. Caldwell, R., 2003. The changing roles of personnel managers: old ambiguities, new uncertainties. Journal of Management Studies 40 (4), 983–1004. Campell, D.T., Fiske, D.W., 1959. Convergent and discriminant validation by the multitrait–multimethod matrix. Psychological Bulletin 56 (2), 81–105. Carmines, E.G., Zeller, R.A., 2008. Reliability and Validity Assessment. Sage Publ., Newbury Park, Calif.. Chin, W.W., 1998a. Issues and opinion on structural equation modeling. MIS Quarterly 22 (1). Chin, W.W., 1998b. The partial least squares approach to structural equation modeling. In: Marcoulides, G.A. (Ed.), Modern Methods for Business Research. Chin, W.W., Newsted, P.R., 2000. Structural equation modeling analysis with small samples using partial least squares. In: Hoyle, R.H. (Ed.), Statistical Strategies for Small Sample Research Cunningham, G., 2006. The relationships among commitment to change, coping with change, and turnover intentions. European Journal of Work and Organizational Psychology 15 (1), 29–45. Davis, F.D., 1986. A Technology Acceptance Model for Empirically Testing New End-User Information Systems: Theory and Results. Doctoral dissertation, Sloan School of Management, Massachusetts, Institute of Technology. Davis, F.D., 1989. Perceived usefulness, perceived ease of use and user acceptance of information technology. MIS Quarterly 13 (3), 319–340. Davis, F.D., Bagozzi, R.P., Warshaw, P.R., 1989. User acceptance of computer technology: a comparison of two theoretical models. Management Science 35 (8), 982–1003. Elkins, T.J., Philips, J.S., 2000. Job context, selection decision outcome, and the perceived fairness of selection tests: biodata as an illustrative case. Journal of Applied Psychology 85 (3), 479–484. Ferneley, E.H., Sobreperez, P., 2006. Resist, comply or workaround? An examination of different facets of user engagement with information systems. Ferratt, T.W., Agarwal, R., Brown, C.V., Moore, J.E., 2005. IT human resource management configurations and IT turnover: theoretical synthesis and empirical analysis Fornell, C., Larcker, D.F., 1981. Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research 18 (1), 39–50. Forst, L., 1997. Fulfilling the strategic promise of shared services. Strategy & Leadership 25 (1), 30–34. Fried, Y., Ferris, G.R., 1987. The validity of the job characteristics model: a review and meta-analysis. Personnel Psychology 40 (2), 287–322. Griffeth, R.W., Hom, P.W., Gaertner, S., 2000. A meta-analysis of antecedents and correlates of employee turnover: update, moderator tests, and research implications for the next millennium Hendrickson, A.R., 2003. Human resource information systems: backbone technology of contemporary human resources.. Journal of Labour Research 24 (3), 381–394. Hom, P.W., Katerberg, R.H.C., 1979. Comparative examination of three approaches to the prediction of turnover. Journal of Applied Psychology 64 (3), 280– 290. Hom, P.W., Caranikas-Walker, F., Prussia, G.E., Griffeth, R.W., 1992. A meta-analytical structural equations analysis of a model of employee turnover. Journal of Applied Psychology 77 (6), 890–909. Hulland, J.S., 1999. Use of partial least squares (PLS) in strategic management research: a review of four recent studies. Strategic Management Journal 20 (2), 195–204. Hussain, Z., Wallace, J., Cornelius, N.C., 2007. The use and impact of human resource information systems on human resource management professionals. Ilgen, D., Hollenbeck, J., 1991. The structure of work: job design and roles. In: Dunnette, M.D. (Ed.), Handbook of Industrial and Organizational Psychology. Ito, T.A., Larsen, J.T., Smith, N.K., Cacioppo, J.T., 1998. Negative information weighs more heavily on the brain: the negativity bias in evaluative categorizations Joseph, D., Kok-Yee, N., Koh, C., Soon, A., 2007. Turnover of information technology professionals: a narrative review, meta-analytic structural equation modeling, and model development Judge, T.A., Thoresen, C.J., Pucik, V., Welbourne, T.M., 1999. Managerial coping with organizational change: a dispositional perspective. Journal of Applied Psychology 84 (1), 107–122. Kanter, R.M., 2003. Foreword. In: Effron, M., Gandossy, R., Goldsmith, M. (Eds.), Human Resources in the 21st Century. Wiley, Hoboken, NJ. Konradt, U., Hertel, G., Schmook, R., 2003. Quality of management by objectives, task-related stressors and non-task-related stressors as predictors of stress and job satisfaction among teleworkers Kossek, E.E., Young, W., Gash, D., Nichol, V., 1994. Waiting for innovation in the Human Resources Department: Godot implements a human resource information system Lacity, M., Iyer, V., Rudramuniyaiah, 2008. Turnover intentions of Indian IS professionals. Information Systems Frontiers 10 (2), 225–241. Laumer, S., Maier, C., Eckhardt, A., Weitzel, T., 2012. The Implementation of Large-scale Information Systems in Small and Medium-Sized Enterprises - A Case Study of Work- and Health-related Consequences Lawler, E.E., Mohrman, S.A., 2003. HR as a strategic partner: what does it take to make it happen? Human Resource Planning 26 (3), 15–29. Lee, I., 2007. An architecture for a next-generation holistic E-recruiting system. Communications of the ACM 50 (7), 81–85. Lee, T.W., Mitchell, T.R., Holtom, B.C., McDaniel, L.S., Hill, J.W., 1999. The unfolding model of voluntary turnover: a replication and extension. Academy of Management Journal 42 (4), 450–462. C. Maier et al. / Journal of Strategic Information Systems 22 (2013) 193–207 207 Liang, H., Saraf, N., Hu, Q., Xue, Y., 2007. Assimilation of enterprise systems: the effect of institutional pressures and the mediating role of top management. Lippert, S., Swiercz, P., 2005. Human resource information systems (HRIS) and technology trust. Journal of Information Science 31 (3), 340–353. Locke, E.A., 1969. What is job satisfaction? Organizational Behavior and Human Performance 4, 309–336. Lukaszewski, K.M., Stone, D.L., Stone-Romero, E.F., 2008. The effects of the ability to choose the type of human resources system on perceptions of invasion of privacy and system satisfaction March, J., Simon, H., 1958. Organizations. Wiley, New York. Marler, J.H., Fisher, S.L., Ke, W., 2009. Employee self-service technology acceptance: a comparison of the pre-implementation and post-implementation relationships Morris, M.G., Venkatesh, V., 2010. Job characteristics and job satisfaction: understanding the role of enterprise resource planning system implementation. Ngai, E.W.T., Wat, F.K.T., 2006. Human resource information systems: a review and empirical analysis. Personnel Review 35 (3), 297–314. Ngai, E.W.T., Law, C.C.H., Chan, S.C.H., Wat, F.K.T., 2008. Importance of the internet to human resource practitioners in Hong Kong. Personnel Review 37 (1), 66–84. Oreg, S., 2003. Resistance to change: developing an individual differences measure. Journal of Applied Psychology 88 (4), 680–693. Oreg, S., Vakola, M., Armenakis, A., 2011. Change recipients’ reactions to organizational change: a 60-year review of quantitative studies. The Journal of

You May Also Find These Documents Helpful