Moderating Effects of Management Philosophy on High-Performance Work Practices–Firm Performance Relationship

References

• Aguinis, H., Edwards, J. R., & Bradley, K. J. (2017). Improving our understanding of moderation and mediation in strategic management research. Organizational Research Methods, 20(4), 665–685.
   Web of Science ®Google Scholar
• Aiman-Smith, L., Bergey, P., Cantwell, A. R., & Doran, M. (2006). The coming knowledge and capability shortage. Research-Technology Management, 49(4), 15–23.
   Web of Science ®Google Scholar
• Ali, M., Lei, S., Freeman, S., & Khan, M. M. (2019). Implemented and perceived high-performance work system and its effect on branch performance. Employee Relations: The International Journal, 41(4), 793–810.
   Web of Science ®Google Scholar
• Armstrong, M. (2005). A handbook of human resource management practice (5th ed.). Ohio: Kogan Page.
   Google Scholar
• Arthur, J. B. (1994). Effects of human resource systems on manufacturing performance and turnover. Academy of Management Journal, 37(3), 670–687.
   Web of Science ®Google Scholar
• Behrends, T. (2007). Recruitment practices in small and medium size enterprises: An empirical study among knowledge-intensive professional service firms. Management Revue, 10, 55–74.
   Google Scholar
• Boachie-Mensah, F., & Dogbe, O. D. (2011). Performance-based pay as a motivational tool for achieving organizational performance: An exploratory case study. International Journal of Business and Management, 6(12), 270–285.
   Google Scholar
• Boselie, P., Dietz, G., & Boon, C. (2005). Commonalities and contradictions in HRM and performance research. Human Resource Management Journal, 15(3), 67–94.
   Google Scholar
• Boxall, P. (2012). High performance work systems: What, why, how and for whom? Asia Pacific Journal of Human Resources, 50(2), 169–186.
   Web of Science ®Google Scholar
• Boxall, P., Guthrie, J. P., & Paauwe, J. (2016). Editorial introduction: Progressing our understanding of the mediating variables linking HRM, employee well‐being and organizational performance. Human Resource Management Journal, 26(2), 103–111.
   Web of Science ®Google Scholar
• Busse, C., Kach, A. P., & Wagner, S. M. (2017). Boundary conditions: What they are, how to explore them, why we need them, and when to consider them. Organizational Research Methods, 20(4), 574–609.
   Web of Science ®Google Scholar
• Chadwick, C., & Dabu, A. (2009). Human resources, human resource management, and the competitive advantage of firms: Toward a more comprehensive model of causal linkages. Organization Science, 20(1), 253–272.
   Web of Science ®Google Scholar
• Chadwick, C., Way, S. A., Kerr, G., & Thacker, J. W. (2013). Boundary conditions of the high‐investment human resource systems‐small‐firm labor productivity relationship. Personnel Psychology, 66(2), 311–343.
   Web of Science ®Google Scholar
• Chin, W. W. (1998). The partial least squares approach to structural equation modeling. Modern Methods for Business Research, 295(2), 295–336.
   Google Scholar
• Choi, J. H. (2014). Who should be the respondent? Comparing predictive powers between managers’ and employees’ responses in measuring high-performance work systems practices. The International Journal of Human Resource Management, 25(19), 2667–2680.
   Web of Science ®Google Scholar
• Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale, NJ: Lawrence Erlbaum.
   Google Scholar
• Datta, D. K., Guthrie, J. P., & Wright, P. M. (2005). Human resource management and labor productivity: Does industry matter? Academy of Management Journal, 48(1), 135–145.
   Web of Science ®Google Scholar
• Dawson, J. F. (2014). Moderation in management research: What, why, when, and how. Journal of Business and Psychology, 29(1), 1–19.
   Web of Science ®Google Scholar
• Fan, D., Cui, L., Zhang, M. M., Zhu, C. J., Härtel, C. E., & Nyland, C. (2014). Influence of high-performance work systems on employee subjective well-being and job burnout: Empirical evidence from the Chinese healthcare sector. The International Journal of Human Resource Management, 25(7), 931–950.
   Web of Science ®Google Scholar
• Faul, F., Erdfelder, E., Buchner, A., & Lang, A.-G. (2009). Statistical power analyses using G*Power 3.1: Tests for correlation and regression analyses. Behavior Research Methods, 41, 1149–1160.
   PubMed Web of Science ®Google Scholar
• Fornell, C., & Cha, J. (1994). Partial least squares. Advanced Methods of Marketing Research, 407(3), 52–78.
   Google Scholar
• Fu, N. (2013). Exploring the impact of high performance work systems in professional service firms: A practices-resources-uses-performance approach. Consulting Psychology Journal: Practice and Research, 65(3), 240–257.
   Google Scholar
• Goldsby, T. J., Knemeyer, A. M., Miller, J. W., & Wallenburg, C. M. (2013). Measurement and moderation: Finding the boundary conditions in logistics and supply chain research. Journal of Business Logistics, 34(2), 109–116.
   Web of Science ®Google Scholar
• Grobler, P., Warnich, S., Carell, M. R., Elbert, N. F., & Hatfield, R. D. (2006). Human resource management in South Africa. South Africa: Cengage Learning EMEA.
   Google Scholar
• Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. A. (2017). Primer on partial least squares structural equation modeling (PLS-SEM) (3rd ed.). Thousand Oaks, CA: SAGE Publications.
   Google Scholar
• Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2–24.
   Web of Science ®Google Scholar
• Harrison, M. I., Paez, K., Carman, K., Stephens, J., Smeeding, L., Devers, K., & Garfinkel, S. (2014). Effects of organizational context on lean project implementation in five hospital systems. In Academy of management proceedings (Vol. 2014, No. 1, pp. 12253). Briarcliff Manor, NY: Academy of Management.
   Google Scholar
• Heffernan, M. (2012). Employee reactions to high performance work systems in the service sector: Assessing the role of organizational justice theory (PhD dissertation). National University of Ireland, Galway.
   Google Scholar
• Huselid, M. A. (1995). The impact of human resource management practices on turnover, productivity, and corporate financial performance. Academy of Management Journal, 38(3), 635–672.
   Web of Science ®Google Scholar
• Huselid, M. A., & Rau, B. L. (1997). The determinants of high-performance work systems: Cross-sectional and longitudinal analyses. Paper presented at the Academy of Management Annual Meetings, Boston, MA.
   Google Scholar
• Ismail, A. I., Abdelrahman, S. E., & Abdul Majid, A. H. (2018). Closing strategic human resource management research lacunas with mediating role of employee creativity. Academy of Strategic Management Journal, 17(1), 1–18.
   Google Scholar
• Ismail, A. I., Abdul-Halim, A. M., & Joarder, M. H. R. (2015). Pay-performance relationship: an empirical study on employee performance in the context of Nigeria’ In AGBA 2015, refereed proceedings of the 12th annual world congress of the Academy for Global Business Advancement (AGBA), Pahang, Malaysia (pp. 757–769).
   Google Scholar
• Ismail, A. I., Abdul-Majid, A. H., Ameen, A., Raza, S., & Akindele, I. T. (2019). Using employee creativity to unpack the ‘black box’ in the high-performance work system (HPWS)-firm performance nexus. International Journal of Innovation Management, 2050052. doi:10.1142/S1363919620500528
   Web of Science ®Google Scholar
• Ismail, A. I., Abdul-Majid, A. H., Jibrin-Bida, M., & Joarder, M. H. (2019). Moderating effect of management support on the relationship between HR practices and employee performance in Nigeria. Global Business Review, 1–19.
   Web of Science ®Google Scholar
• Krejcie, R. V., & Morgan, D. W. (1970). Determining sample size for research activities. Educational and Psychological Measurement, 30, 607–610.
   Web of Science ®Google Scholar
• Marchington, M., & Wilkinson, A. (2005). People management and development: Human resource management at work. CIPD Publishing.
   Google Scholar
• Martinaityte, I. (2014). Leveraging employee creativity through high performance work systems: a multilevel perspective (Doctoral dissertation). Aston University.
   Google Scholar
• Martín-Alcázar, F., Romero-Fernandez, P. M., & Sánchez-Gardey, G. (2005). Strategic human resource management: Integrating the universalistic, contingent, configurational and contextual perspectives. The International Journal of Human Resource Management, 16(5), 633–659.
   Web of Science ®Google Scholar
• Mason, C., Bauer, T., & Erdogan, B. (2010). Management Principle (v. 1.0), Creative Commons by-nc-sa 3.0. Retrieved from http://creativecommons.org/licenses/by-nc-sa/3.0/
   Google Scholar
• Michie, J., & Sheehan, M. (2005). Business strategy, human resources, labour market flexibility and competitive advantage. The International Journal of Human Resource Management, 16(3), 445–464.
   Web of Science ®Google Scholar
• Ogunyomi, P., & Bruning, N. S. (2015). Human resource management and organizational performance of small and medium enterprises (SMEs) in Nigeria. The International Journal of Human Resource Management, 1–23. doi:10.1080/09585192.2015.1033640
   Web of Science ®Google Scholar
• Ojokuku, R. M. (2012). Human resources management demands and challenges in small and medium scale enterprises. International Journal of Economic Development Research and Investment, 3(3), 1–10.
   Google Scholar
• Posthuma, R. A., Campion, M. C., Masimova, M., & Campion, M. A. (2013). A high-performance work practices taxonomy: Integrating the literature and directing future research. Journal of Management, 39(5), 1184–1220.
   Web of Science ®Google Scholar
• Pritchard, R. D., Holling, H., Lammers, F., & Clark, B. D. (2002). Improving organizational performance with the productivity measurement and enhancement system: An international collaboration. Huntington, NY: Nova Science.
   Google Scholar
• Roche, W. K. (1999). In search of commitment oriented human resource management practices and the conditions that sustain them. Journal of Management Studies, 36(5), 653–678.
   Web of Science ®Google Scholar
• Salkind, N. J. (1997). Exploring research (3rd ed.). Upper Saddle River, NJ: Prentice Hall.
   Google Scholar
• Seidu, E. Y. M. (2011). Human resource management and organizational performance: evidence from the retail banking sector (Doctoral dissertation). Aston University, Birmingham.
   Google Scholar
• Sekaran, U. (2003). Research methods for business: A skill building approach (4th ed.). New York: John Wiley & Sons, Inc.
   Google Scholar
• Selto, F. H., Renner, C. J., & Young, S. M. (1995). Assessing the organizational fit of a just-in-time manufacturing system: Testing selection, interaction and systems models of contingency theory. Accounting, Organizations and Society, 20(7–8), 665–684.
   Web of Science ®Google Scholar
• Shin, D., & Konrad, A. M. (2014). Causality between high-performance work systems and organizational performance. Journal of Management, 20(10), 1–25.
   Google Scholar
• Tabiu, A., Pangil, F., & Othman, S. Z. (2016). Examining the link between HRM practices and employees’ performance in Nigerian public sector. Management Science Letters, 6, 395–408.
   Google Scholar
• Takeuchi, R., Lepak, D. P., Wang, H., & Takeuchi, K. (2007). An empirical examination of the mechanisms mediating between high-performance work systems and the performance of Japanese organizations. Journal of Applied Psychology, 92, 1069–1083.
   PubMed Web of Science ®Google Scholar
• Taylor, S., Levy, O., Boyacigiller, N. A., & Beechler, S. (2008). Employee commitment in MNCs: Impacts of organizational culture, HRM and top management orientations. The International Journal of Human Resource Management, 19(4), 501–527.
   Web of Science ®Google Scholar
• Teo, S., Le Clerc, M., & Galang, M. (2011). Human capital enhancing HRM systems and frontline employees in Australian manufacturing SMEs. International Journal of Human Resource Management, 22, 2522–2538.
   Web of Science ®Google Scholar
• Truss, C. (2001). Complexities and controversies in linking HRM with organizational outcomes. Journal of Management Studies, 38(8), 1121–1149. doi:10.1111/joms.2001.38.issue-8
   Web of Science ®Google Scholar
• Ulrich, D. (1997). Human resource champions: The next agenda for adding value and delivering results. Boston: Harvard Business School Press.
   Google Scholar
• Wilson, J. (2010). Essentials of business research - A guide to doing your research project. New Delhi: SAGE Publications India Pvt Ltd.
   Google Scholar
• Wright, P. M., Dunford, B. B., & Snell, S. A. (2001). Human resources and the resource-based view of the firm. Journal of Management, 27, 701–721.
   Web of Science ®Google Scholar
• Zhang, Y., & Li, S. (2009). High performance work practices and firm performance: Evidence from the pharmaceutical industry in China. International Journal of Human Resource Management, 20, 2331–2348.
   Web of Science ®Google Scholar
• Zikmund, W. G., & Babin, B. J. (2010). Essentials of marketing research (4th ed.). Mason, OH: South-Western, Cengage Learning.
   Google Scholar