Line managers’ AMO to manage employees’ performance: the route to effective and satisfying performance management

References

• Aguinis, H. (2013). Performance management. Upper Saddle River, NJ: Pearson Prentice Hall.
   Google Scholar
• Aguinis, H., & Bradley, K. (2014). Best practice recommendations for designing and implementing experimental vignette methodology studies. Organizational Research Methods, 17, 351–371.10.1177/1094428114547952
   Web of Science ®Google Scholar
• Aguinis, H., Joo, H., & Gottfredson, R. (2011). Why we hate performance management – and why we should love it. Business Horizons, 54, 503–507.10.1016/j.bushor.2011.06.001
   Web of Science ®Google Scholar
• Aguinis, H., Joo, H., & Gottfredson, R. (2012). Performance management universals: Think globally and act locally. Business Horizons, 55, 385–392.10.1016/j.bushor.2012.03.004
   Web of Science ®Google Scholar
• Aksoy, E., & Bayazit, M. (2014). The relationship between MBO system strength and goal-climate quality and strength. Human Resource Management, 53, 505–525.10.1002/hrm.2014.53.issue-4
   Web of Science ®Google Scholar
• Appelbaum, E., Bailey, T., Berg, P., & Kalleberg, A. (2000). Manufacturing advantage. Ithaca: Cornell University Press.
   Google Scholar
• Armstrong, M., & Taylor, S. (2017). Armstrong’s handbook of human resource management practice. London: Chartered Institute of Personnel and Development.
   Google Scholar
• Audenaert, M., Decramer, A., George, B., Verschuere, B., & Van Waeyenberg, T. (2016). When employee performance management affects individual innovation in public organizations: The role of consistency and LMX. The International Journal of Human Resource Management, 1–20.10.1080/09585192.2016.1239220
   Google Scholar
• Bainbridge, H. (2015). Devolving people management to the line: How different rationales for devolution influence people management effectiveness. Personnel Review, 44, 847–865.10.1108/PR-10-2013-0193
   Web of Science ®Google Scholar
• Bednall, T., Sanders, K., & Runhaar, P. (2014). Stimulating informal learning activities through perceptions of performance appraisal quality and human resource management system strength: A two-wave study. Academy of Management Learning and Education, 13, 45–61.10.5465/amle.2012.0162
   Web of Science ®Google Scholar
• Bondarouk, T., Trullen, J., & Valverde, M. (2016). Special issue of international journal of human resource management: Conceptual and empirical discoveries in successful HRM implementation. The International Journal of Human Resource Management, 27, 906–908. doi:10.1080/09585192.2016.1154378
   Web of Science ®Google Scholar
• Bos-Nehles, A., & Van Riemsdijk, M. (2014). Innovating HRM implementation: The influence of organizational contingencies on the HRM role of line managers. In T. Bondarouk & M. Olivas-Luján (Eds.), Human resource management, social innovation and technology (pp. 101–133). Bingley: Emerald Group Publishing Limited.10.1108/asm
   Google Scholar
• Bos-Nehles, A., Van Riemsdijk, M., & Looise, J. (2013). Employee perceptions of line management performance: Applying the AMO theory to explain the effectiveness of line managers’ HRM implementation. Human Resource Management, 52, 861–877.10.1002/hrm.v52.6
   Web of Science ®Google Scholar
• Bowen, D., & Ostroff, C. (2004). Understanding HRM-firm performance linkages: The role of the ‘strength’ of the HRM system. Academy of Management Review, 29, 203–221.
   Web of Science ®Google Scholar
• Boxall, P., Guthrie, J., & Paauwe, J. (2016). Editorial introduction: Progressing our understanding of the mediating variables linking HRM, employee well-being and organisational performance. Human Resource Management Journal, 26, 103–111.10.1111/hrmj.v26.2
   Web of Science ®Google Scholar
• Boxall, P., & Purcell, J. (2003). Strategy and human resource management. New York, NY: Palgrave Macmillan.
   Google Scholar
• Brislin, R. (1990). Applied cross-cultural psychology: An introduction. In R. Brislin (Ed.), Applied cross-cultural psychology (pp. 9–33). Newbury Park, CA: Sage.10.4135/9781483325392
   Google Scholar
• Caldwell, R. (2003). The changing roles of personnel managers: Old ambiguities, new uncertainties. Journal of Management Studies, 40, 983–1004.10.1111/1467-6486.00367
   Web of Science ®Google Scholar
• Chow, I. (2012). The roles of implementation and organizational culture in the HR-performance link. The International Journal of Human Resource Management, 23, 3114–3132.10.1080/09585192.2011.639553
   Web of Science ®Google Scholar
• Decramer, A., Smolders, C., & Vanderstraeten, A. (2012a). Employee performance management culture and system features in higher education: Relationship with employee performance management satisfaction. International Journal of Human Resource Management, 24, 352–371.
   Web of Science ®Google Scholar
• Decramer, A., Smolders, C., Vanderstraeten, A., Christiaens, J., & Desmidt, S. (2012b). External pressures affecting the adoption of employee performance management in higher education institutions. Personnel Review, 41, 686–704.10.1108/00483481211263593
   Web of Science ®Google Scholar
• den Hartog, D., Boselie, P., & Paauwe, J. (2004). Performance management: A model and research agenda. Applied Psychology, 53, 556–569.10.1111/apps.2004.53.issue-4
   Web of Science ®Google Scholar
• DeNisi, A., & Murphy, K. (2017). Performance appraisal and performance management: 100 years of progress? Journal of Applied Psychology, 102, 421–433.10.1037/apl0000085
   PubMed Web of Science ®Google Scholar
• DeNisi, A., & Smith, C. (2014). Performance appraisal, performance management, and firm-level performance: A review, a proposed model, and new directions for future research. The Academy of Management Annals, 8, 127–179.10.1080/19416520.2014.873178
   Web of Science ®Google Scholar
• Department of Education. (2007). Omzendbrief omtrent fucntiebeschrijving en evaluatie. ( Letter to the schools about job descriptions and evaluation). Brussels: Author.
   Google Scholar
• Department of Education. (2015). Vlaams onderwijs in cijfers ( Flemish education in numbers). Brussels: Author.
   Google Scholar
• Eatough, E., Chang, C., Miloslavic, S., & Johnson, R. (2011). Relationships of role stressors with organizational citizenship behavior: A meta-analysis. Journal of Applied Psychology, 96, 619–632.10.1037/a0021887
   PubMed Web of Science ®Google Scholar
• European Commission. (2013). Key data on education in Europe 2012. Luxembourg: Publications office of the European Union.
   Google Scholar
• Fletcher, C. (2001). Performance appraisal and management: The developing research agenda. Journal of Occupational and Organizational Psychology, 74, 473–487.10.1348/096317901167488
   Web of Science ®Google Scholar
• Fletcher, C., & Williams, R. (1996). Performance management, job satisfaction and organizational commitment. British Journal of Management, 7, 69–179.
   Google Scholar
• Gilbert, C., De Winne, S., & Sels, L. (2011a). The influence of line managers and HR department on employees’ affective commitment. International Journal of Human Resource Management, 22, 1618–1637.10.1080/09585192.2011.565646
   Web of Science ®Google Scholar
• Gilbert, C., De Winne, S., & Sels, L. (2011b). Antecedents of front-line managers’ perceptions of HR role stressors. Personnel Review, 40, 549–569.10.1108/00483481111154432
   Web of Science ®Google Scholar
• Gilbert, C., De Winne, S., & Sels, L. (2015). Strong HRM processes and line managers’ effective HRM implementation: A balanced view. Human Resource Management Journal, 25, 600–616.10.1111/1748-8583.12088
   Web of Science ®Google Scholar
• Gold, Y., & Roth, R. (2013). Teachers managing stress & preventing burnout. New York, NY: Routledge.
   Google Scholar
• Grömping, U. (2006). Relative importance for linear regression in R: The package relaimpo. Journal of Statistical Software, 17, 1–27.
   Web of Science ®Google Scholar
• Guay, F., Vallerand, R., & Blanchard, C. (2000). On the assessment of situational intrinsic and extrinsic motivation: The situational motivation scale (SIMS). Motivation and Emotion, 24, 175–213.10.1023/A:1005614228250
   Web of Science ®Google Scholar
• Guest, D., & Bos-Nehles, A. (2013). HRM and performance: The role of effective implementation. In J. Paauwe, D. Guest, & P. Wright (Eds.), HRM and performance: Achievements and challenges (pp. 79–96). Chichester: Wiley-Blackwell.
   Google Scholar
• Gujarati, D. (2008). Basic econometrics. Singapore: McGraw-Hill.
   Google Scholar
• Hope-Hailey, V., Farndale, E., & Truss, C. (2005). The HR department’s role in organizational performance. Human Resource Management Journal, 15, 49–66.10.1111/hrmj.2005.15.issue-3
   Google Scholar
• Hox, J. (2010). Multilevel analysis: Techniques and applications. London: Routledge.
   Google Scholar
• Hu, L., & Bentler, P. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6, 1–55.10.1080/10705519909540118
   Web of Science ®Google Scholar
• Keeping, L., & Levy, P. (2000). Performance appraisal reactions: Measurement, modeling, and method bias. Journal of Applied Psychology, 85, 708–723.10.1037/0021-9010.85.5.708
   PubMed Web of Science ®Google Scholar
• Khilji, S., & Wang, X. (2006). Intended and implemented HRM: The missing linchpin in strategic human resource management research. The International Journal of Human Resource Management, 17, 1171–1189.10.1080/09585190600756384
   Web of Science ®Google Scholar
• Kinicki, A., Jacobson, K., Peterson, S., & Prussia, G. (2013). Development and validation of the performance management behavior questionnaire. Personnel Psychology, 66, 1–45.10.1111/peps.2013.66.issue-1
   Web of Science ®Google Scholar
• Lepak, D., Liao, H., Chung, Y., & Harden, E. (2006). A conceptual review of human resource management systems in strategic human resource management research. Research in Personnel and Human Resources Management, 25, 217–272.
   Google Scholar
• Li, X., Frenkel, S., & Sanders, K. (2011). Strategic HRM as process: How HR system and organizational climate strength influence Chinese employee attitudes. The International Journal of Human Resource Management, 22, 1825–1842.10.1080/09585192.2011.573965
   Web of Science ®Google Scholar
• Marin-Garcia, J., & Tomas, J. (2016). Deconstructing AMO framework: A systematic review. Intangible Capital, 12, 1040–1087.10.3926/ic.838
   Web of Science ®Google Scholar
• Mathieu, J., & Taylor, S. (2006). Clarifying conditions and decision points for mediational type inferences in Organizational Behavior. Journal of Organizational Behavior, 27, 1031–1056.10.1002/(ISSN)1099-1379
   Web of Science ®Google Scholar
• Mischel, W. (1973). Toward a cognitive social learning reconceptualization of personality. Psychological Review, 80, 252–283.10.1037/h0035002
   PubMed Web of Science ®Google Scholar
• Mossholder, K., Bennett, N., Kemery, E., & Wesolowski, M. (1998). Relationships between bases of power and work reactions: The mediational role of procedural justice. Journal of Management, 24, 533–552.10.1177/014920639802400404
   Web of Science ®Google Scholar
• Nishii, L., & Wright, P. (2008). Variability within organizations: Implications for strategic human resource management. In D. Smith (Ed.), The people make the place (pp. 225–248). Mahwah, NJ: Lawrence Erlbaum Associates.
   Google Scholar
• Ostroff, C., & Bowen, D. (2016). Reflections on the 2014 decade award: Is there strength in the construct of HR system strength? Academy of Management Review, 41, 196–214.10.5465/amr.2015.0323
   Web of Science ®Google Scholar
• Ovando, M., & Ramirez, A. (2007). Principals’ instructional leadership within a teacher performance appraisal system: Enhancing students’ academic success. Journal of Personnel Evaluation, 20, 85–110.10.1007/s11092-007-9048-1
   Google Scholar
• Pereira, C., & Gomes, J. (2012). The strength of human resource practices and transformational leadership: Impact on organizational performance. International Journal of Human Resource Management, 23, 4301–4318.10.1080/09585192.2012.667434
   Web of Science ®Google Scholar
• Perry, E., & Kulik, C. (2008). The devolution of HR to the line: Implications for perceptions of people management effectiveness. The International Journal of Human Resource Management, 9, 262–273.10.1080/09585190701799838
   Google Scholar
• Podsakoff, P., MacKenzie, S., Lee, J., & Podsakoff, N. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88, 879–903.10.1037/0021-9010.88.5.879
   PubMed Web of Science ®Google Scholar
• Preacher, K., & Hayes, A. (2004). SPSS and SAS procedures for estimating indirect effects in simple mediation models. Behavior Research Methods, Instruments, & Computers, 36, 717–731.10.3758/BF03206553
   PubMedGoogle Scholar
• Pulakos, E., & O’Leary, R. (2011). Why is performance management broken? Industrial and Organizational Psychology, 4, 146–164.10.1111/j.1754-9434.2011.01315.x
   Google Scholar
• Purcell, J., & Hutchinson, S. (2007). Front-line managers as agents in the HRM-performance causal chain: Theory, analysis and evidence. Human Resource Management Journal, 17, 3–20.10.1111/hrmj.2007.17.issue-1
   Google Scholar
• Rizzo, J., House, R., & Lirtzman, S. (1970). Role conflict and ambiguity in complex organizations. Administrative Science Quarterly, 15, 150–163.10.2307/2391486
   Web of Science ®Google Scholar
• Sanders, K., Dorenbosch, L., & Reuver, R. (2008). The impact of individual and shared employee perceptions of HRM on affective commitment considering climate strength. Personnel Review, 37, 412–425.10.1108/00483480810877589
   Web of Science ®Google Scholar
• Satorra, A., & Bentler, P. (2001). A scaled difference chi-square test statistic for moment structure analysis. Psychometrika, 66, 507–514.10.1007/BF02296192
   Web of Science ®Google Scholar
• Sharma, N., Sharma, T., & Agarwal, M. (2016). Measuring employee perception of performance management system effectiveness. Employee Relations, 38, 224–247.10.1108/ER-01-2015-0006
   Web of Science ®Google Scholar
• Sikora, D., Ferris, G., & Van Iddekinge, C. (2015). Line manager implementation perceptions as a mediator of relations between high-performance work practices and employee outcomes. Journal of Applied Psychology, 100, 1908–1918.10.1037/apl0000024
   PubMed Web of Science ®Google Scholar
• Snijders, T., & Bosker, R. (2012). Multilevel analysis. London: Sage.
   Google Scholar
• Tuytens, M., & Devos, G. (2014). The problematic implementation of teacher evaluation policy: School failure or governmental pitfall? Educational Management Administration & Leadership, 42(4), 155–174.10.1177/1741143213502188
   Web of Science ®Google Scholar
• Van Waeyenberg, T., Decramer, A., Audenaert, M., & Desmidt, S. (2016). The relationship between employee performance management and civil servants’ turnover intentions: A test of the mediating roles of system satisfaction and affective commitment. Public Management Review, 1–18.
   Web of Science ®Google Scholar
• Vermeeren, B. (2014). Variability in HRM implementation among line managers and its effect on performance: A 2-1-2 mediational multilevel approach. The International Journal of Human Resource Management, 25, 3039–3059.10.1080/09585192.2014.934891
   Web of Science ®Google Scholar
• Woodrow, C., & Guest, D. (2014). When good HR gets bad results: Exploring the challenge of HR implementation in the case of workplace bullying. Human Resource Management Journal, 24, 38–56.10.1111/hrmj.2014.24.issue-1
   Web of Science ®Google Scholar