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The Effects of the Ability to Choose the Type of Human Resources System on Perceptions of Invasion of Privacy and System Satisfaction

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Abstract

Using data from employed participants in two separate studies, we examined the effects of (a) the ability to choose the type of human resource system, and (b) the type of information disclosed on perceptions of invasion of privacy and satisfaction with the human resource system. Results of both studies revealed that individuals were more satisfied with human resource services and less likely to perceive that the disclosure of data was invasive of privacy when (a) they had the ability to choose the type of system through which data were disclosed, and (b) the information disclosed was non-medical as opposed to medical in nature. The results have important implications for safeguarding employee privacy, developing privacy policies in organizations, and enhancing employee satisfaction with human resource services. Implications for theory, research, and practice are discussed.

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References

  • Bennett-Alexander, D. D., & Hartman, L. P. (2007). Employment law for business. Boston: McGraw-Hill/Irwin.

    Google Scholar 

  • Bloom, N. (2001). In search of intelligent self-service. International Association for Human Resources Information Management (IHRIM) Journal, 5, 53–61.

    Google Scholar 

  • Brehm, J. W. (1966). A theory of psychological reactance. New York: Academic Press.

    Google Scholar 

  • Cardy, R. L., & Miller, J. S. (2003). Technology: Implications for HRM. In D. Stone (Ed.), Advances in human performance and cognitive engineering research (pp. 99–118). Greenwich, CT: JAI Press.

    Google Scholar 

  • Cedar. (2001). Cedar 2001 human resources self-service/portal survey. Retrieved March 15, 2005 from http://www.cedar.com/800/index.asp?lang=usa.

  • Cedar. (2002). Cedar 2002 human resources self services/portal survey. Retrieved February 22, 2004 from http://www.cedar.com/800/index.asp?lang=usa.

  • Cedarcrestone. (2006). Cedarcrestone 2006 HCM Survey: Workforce Technologies and Service Delivery Approaches. Retrieved February 1, 2007 from http://www.cedarcrestone.com/whitepapers.php.

  • Cohen, J., Cohen, P., West, S. G., & Aiken, L. S. (2003). Applied multiple regression/correlation analysis for the behavioral sciences. (3rd ed.). Mahwah, NJ: Lawrence Erlbaum Associates.

    Google Scholar 

  • Cummings, T. G., & Worley, C. G. (1997). Organizational development and change. (6th ed.). Cincinnati, OH: South-Western College Publshing.

    Google Scholar 

  • Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35, 982–1003.

    Google Scholar 

  • Dulebohn, J. H. (2003). Information technology implementation: The need for compensation system congruency. In D. Stone (Ed.), Advances in human performance and cognitive engineering research (pp. 153–186). Greenwich, CT: JAI Press.

    Google Scholar 

  • Dulebohn, J. H., & Marler, J. H. (2005). e-Compensation: The potential to transform practice? In H. G. Gueutal & D. L. Stone (Eds.), The brave new world of eHR: Human resources management in the digital age (pp. 166–189). San Francisco: Jossey Bass.

    Google Scholar 

  • Eddy, E. R., Stone, D. L., & Stone-Romero, E. F. (1999). The effects of information management policies on reactions to human resource information systems: An integration of privacy and procedural justice perspectives. Personnel Psychology, 52, 335–358.

    Article  Google Scholar 

  • Fusilier, M. R., & Hoyer, W. D. (1980). Variables affecting perceptions of invasion of privacy in a personnel selection situation. Journal of Applied Psychology, 65, 623–626.

    Article  Google Scholar 

  • Greenberg, J., & Folger, R. (1983). Procedural justice, participation, and the fair process effect in groups and organizations. In P. B. Paulus (Ed.), Basic group processes (pp. 235–256). New York: Springer-Verlag.

    Google Scholar 

  • Gueutal, H. G. (2003). The brave new world of eHR. In D. Stone (Ed.), Advances in human performance and cognitive engineering research (pp. 13–36). Greenwich, CT: JAI Press.

    Google Scholar 

  • Gueutal, H. G., & Falbe, C. M. (2005). eHR: Trends in delivery methods. In H. G. Gueutal & D. L. Stone (Eds.), The brave new world of eHR: Human resources management in the digital age (pp. 190–225). San Francisco: Jossey Bass.

    Google Scholar 

  • Gueutal H. G., & Stone D. L. (Eds.). (2005). The brave new world of eHR. San Francisco: Jossey Bass

    Google Scholar 

  • Gutek, B. A. (1995). The dynamics of service: Reflections on the changing nature of customer/provider interactions. San Francisco: Jossey-Bass.

    Google Scholar 

  • Gutek, B. A., Bhappu, A. D., Liao-Troth, M. A., & Cherry, B. (1999). Distinguishing between service relationship and encounters. Journal of Applied Psychology, 84, 218–233.

    Article  Google Scholar 

  • Gutek, B. A., Cherry, B., Bhappu, A. D., Schneider, S., & Woolf, L. (2000). Features of service relationships and encounters. Work and Occupations, 27, 319–352.

    Article  Google Scholar 

  • Harris, L., & Westin, A. F. (1979). The dimensions of privacy: A national opinion research survey of attitudes toward privacy. Stevens Point, WI: Sentry Insurance Company.

    Google Scholar 

  • Johnson, R., Stone, D. L., & Phillips, T. A. (2005, August). African-Americans and Anglo-Americans beliefs, attitudes, & intentions to pursue careers in information technology. Paper presented at the meeting of the Academy of Management, Honolulu, HA.

  • Kallman, E. A., & Smith, H. J. (1995). Privacy attitudes and practices: What the membership thinks and does. New York: Publication of the International Association for Human Resources Information Management.

  • Kornblum, J. (2001, April 17). Privacy tops Americans’ list of tech concerns. Poughkeepsie Journal, 1E.

  • Lederer, A. L. (1992). Handbook of HRIS. Boston: Warren Gorham Lamont.

    Google Scholar 

  • Linowes, D. F. (1989). Privacy in America: Is your private life in the public eye? Urbana, IL: University of Illinois Press.

    Google Scholar 

  • Linowes, D. F. (1996). Secret Shadows. Albany Times Union, pp. 1–2, Section B (1996, September 8).

  • Marler, J. H., & Dulebohn, J. H. (2005). A model of employee self-service technology acceptance. In J. Martocchio (Ed.), Research in personnel and human resource management (pp. 137–180). Greenwich, CT: JAI Press.

    Google Scholar 

  • McManus, M. A., & Ferguson, M. W. (2003). Biodata, personality, and demographic differences of recruits from threes sources. International Journal of Selection and Assessment, 11, 175–183.

    Article  Google Scholar 

  • Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1998). SERVQUAL: A multiple-item scale for measuring consumer perceptions of service quality. Journal of Retailing, 64, 12–40.

    Google Scholar 

  • Piller, C. (1993). Bosses with x-rays eyes. Your employers may be using computers to keep tabs on you. MacWorld, 10, 124–130.

    Google Scholar 

  • Privacy Protection Study Commission (1977). Personal privacy in an information society. Washington, DC: US Government Printing Office.

    Google Scholar 

  • Rosenbaum, B. L. (1973). Attitude toward invasion of privacy in the personnel selection process and job applicant demographic and personality correlates. Journal of Applied Psychology, 58, 333–338.

    Article  Google Scholar 

  • Simmons, D. D. (1968). Invasion of privacy and judged benefit of personality test inquiry. The Journal of General Psychology, 79, 177–181.

    PubMed  Google Scholar 

  • Smith, H. J. (1993). Privacy policies and practices: Inside the organizational maze. Communications of the ACM, 36, 105–122.

    Article  Google Scholar 

  • Society for Human Resources Management (SHRM) and West Group (2000). Workplace Privacy Survey. Retrieved January 5, 2006 from http://www.shrm.org/surveys.

  • Stone, D. L. (1981). The effects of the valence of outcomes for providing data and the perceived relevance of the data requested on privacy-related behaviors, beliefs, and attitudes. Unpublished doctoral dissertation, Purdue University, West Lafayette, IN.

  • Stone, D. L., Lukaszewski, K., & Eddy, E. (1998). Privacy and human resource information systems. International Association for Human resources Information Management (IHRIM) Journal, 2, 44–50.

    Google Scholar 

  • Stone, D. L., & Stone-Romero, E. F. (1998). A multiple stakeholder model of privacy organizations. In M. Schminke (Ed.), Managerial ethics: Morally managing people and processes (pp. 35–59). Mahwah, NJ: Lawrence Erlbaum.

    Google Scholar 

  • Stone, D. L., Stone-Romero, E. F., & Lukaszewski K. (2003). The functional and dysfunctional consequences of human resource information technology for organizations and their employees. In D. Stone (Ed.), Advances in human performance and cognitive engineering research (pp. 37–68). Greenwich, CT: JAI Press.

    Google Scholar 

  • Stone, D. L., & Williams, K. J. (1997). Implications of the American with Disabilities Act for employee selection. Human Resource Management Review, 7, 203–231.

    Article  Google Scholar 

  • Stone, E. F., Gueutal, H. G., Gardner, D. G., & McClure, S. (1983). A field experiment comparing information-privacy values, beliefs, and attitudes across several types of organizations. Journal of Applied Psychology, 68, 459–468.

    Article  Google Scholar 

  • Stone, E. F., & Stone, D. L. (1990). Privacy in organizations: Theoretical issues, research findings, protection strategies. In K. M. Rowland & G. R. Ferris (Eds.), Research in personnel and human resources management (Vol. 8, pp. 349–411). Greenwich, CT: JAI Press.

    Google Scholar 

  • Stone-Romero, E. F., & Rosopa, P. (2004). Inference problems with hierarchical multiple regression-based tests of mediating effects. Research in Personnel and Human Resources Management, 23, 249–290.

    Article  Google Scholar 

  • Stone-Romero, E. F., Stone, D. L., & Hyatt, D. (2003). Privacy and personnel selection techniques. Journal of Social Issues, 59, 343–368.

    Article  Google Scholar 

  • Taylor, G. S., & Davis, J. S. (1989). Individual privacy and computer-based human resources information systems. Journal of Business Ethics, 8, 569–576.

    Article  Google Scholar 

  • Tolchinsky, P. D., McCuddy, M., Adams, J., Ganster, D. C., Woodman, R., & Fromkin, H. L. (1981). Employee perceptions of invasion of privacy: A field simulation experiment. Journal of Applied Psychology, 66, 308–313.

    Article  Google Scholar 

  • Towers Perrin LLP, (2001). Towers Perrin HR Service Center Survey. Retrieved May 22, 2002 from http://www.towers.com/towers/services_products/TowersPerrin/hrsurvey2001.html.

  • Trist, E., & Bamforth, K. (1951). Some social and psychological consequences of the longwall method of coal getting. Human Relations, 4, 3–38.

    Article  Google Scholar 

  • Ulrich, D. (2001). From e-Business to e-HR. International Association for Human resources Information Management (IHRIM) Journal, 5, 90–97.

    Google Scholar 

  • Walker, A. J. (1993). Handbook of human resource information systems. New York: McGraw-Hill.

    Google Scholar 

  • Walker, A. J. (2001). The state of HR technology: Is it time for a measurement system? International Association for Human resources Information Management (IHRIM) Journal, 5, 49–52.

    Google Scholar 

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Authors and Affiliations

  1. State University of New York at New Paltz, 75 S. Manheim Blvd, New Paltz, NY, 12561, USA

    Kimberly M. Lukaszewski

  2. University of Texas at San Antonio, San Antonio, TX, USA

    Dianna L. Stone & Eugene F. Stone-Romero

Authors
  1. Kimberly M. Lukaszewski
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  2. Dianna L. Stone
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  3. Eugene F. Stone-Romero
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Correspondence to Kimberly M. Lukaszewski.

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Lukaszewski, K.M., Stone, D.L. & Stone-Romero, E.F. The Effects of the Ability to Choose the Type of Human Resources System on Perceptions of Invasion of Privacy and System Satisfaction . J Bus Psychol 23, 73–86 (2008). https://doi.org/10.1007/s10869-008-9074-0

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