What drives firms to invest in training and developing employees? Time-dependent effects of firm internal and external contingencies

References

• Anderson, P., & Tushman, M. L. (2001). Organizational environments and industry exit: The effects of uncertainty, munificence and complexity. Industrial and Corporate Change, 10(3), 675–711. https://doi.org/10.1093/icc/10.3.675
   Google Scholar
• Bae, J., & Lawler, J. J. (2000). Organizational and HRM strategies in Korea: Impact on firm performance in an emerging economy. Academy of Management Journal, 43, 502–517.
   Google Scholar
• Bae, J., & Yu, G. (2005). HRM configurations in Korean venture firms: Resource availability, institutional force and strategic choice perspectives. The International Journal of Human Resource Management, 16(9), 1759–1782. https://doi.org/10.1080/09585190500239499
   Web of Science ®Google Scholar
• Bell, B. S., Tannenbaum, S. I., Ford, J. K., & Noe, R. A. (2017). 100 years of training and development research: What we know and where we should go. Journal of Applied Psychology, 3, 305–323.
   Google Scholar
• Bernerth, J. B., & Aguinis, H. (2016). A critical review and best practice recommendations for control variable usage. Personnel Psychology, 69(1), 229–283. https://doi.org/10.1111/peps.12103
   Web of Science ®Google Scholar
• Bliese, P. D., & Ployhart, R. E. (2002). Growth modeling using random coefficient models: Model building, testing, and illustrations. Organizational Research Methods, 5(4), 362–387. [Database] https://doi.org/10.1177/109442802237116
   Web of Science ®Google Scholar
• Boselie, J. P., Dietz, G., & Boon, C. (2005). Commonalities and contradictions in research on human resource management and performance. Human Resource Management Journal, 15(3), 67–94. https://doi.org/10.1111/j.1748-8583.2005.tb00154.x
   Google Scholar
• Bosse, D. A., & Phillips, R. A. (2016). Agency theory and bounded self-interest. Academy of Management Review, 2, 276–297.
   Google Scholar
• Botke, J. A., Jansen, P. G. W., Khapova, S. N., & Tims, M. (2018). Work factors infl uencing the transfer stages of soft skills training: A literature review. Educational Research Review, 24, 130–147. https://doi.org/10.1016/j.edurev.2018.04.001
   Web of Science ®Google Scholar
• Child, J. (1997). Strategic choice in the analysis of action, structure, organizations and environment: Retrospect and prospect. Organization Studies, 18(1), 43–76. https://doi.org/10.1177/017084069701800104
   Web of Science ®Google Scholar
• Chung, S., Zhan, Y., Noe, R. A., & Jiang, K. (2021). Is it time to update and expand training motivation theory? A meta-analytic review of training motivation research in the 21st century. Journal of Applied Psychology. https://doi.org/10.1037/apl0000901
   Web of Science ®Google Scholar
• Combs, J., Liu, Y., Hall, A., & Ketchen, D. (2006). How much do high–performance work practices matter? A meta–analysis of their effects on organizational performance. Personnel Psychology, 59(3), 501–528. https://doi.org/10.1111/j.1744-6570.2006.00045.x
   Web of Science ®Google Scholar
• Crook, T. R., Todd, S. Y., Combs, J. G., Woehr, D. J., & Ketchen, D. J. (2011). Does human capital matter? A meta-analysis of the relationship between human capital and firm performance. Journal of Applied Psychology, 96(3), 443–456. https://doi.org/10.1037/a0022147
   PubMed Web of Science ®Google Scholar
• Delery, J. E., & Doty, D. H. (1996). Models of theorizing in strategic human resource management: Tests of universalistic, contingency, and configurational performance predictions. Academy of Management Journal, 39, 802–835.
   Web of Science ®Google Scholar
• Eckhaus, E., & Sheaffer, A. (2018). Managerial hubris detection: The case of Enron. Risk Management, 20(4), 304–325. https://doi.org/10.1057/s41283-018-0037-0
   Google Scholar
• Edwards, P., & Wright, M. (2001). High–involvement work systems and performance outcomes: The strength of variable, contingent and context–bound relationships. The International Journal of Human Resource Management, 12(4), 568–585. https://doi.org/10.1080/713769651
   Web of Science ®Google Scholar
• Esteban-Lloret, N. N., Aragón-Sánchez, A., & Carrasco-Hernández, A. (2018). Determinants of employee training: Impact on organizational legitimacy and organizational performance. The International Journal of Human Resource Management, 29(6), 1208–1229. https://doi.org/10.1080/09585192.2016.1256337
   Web of Science ®Google Scholar
• Garavan, T., McCarthy, A., & Carbery, R. (2017). Handbook of international human resource development: Context, processes and people. Research handbooks in business and management series. Edward Elgar Publishing.
   Google Scholar
• Gilovich, T., Griffin, D., & Kahneman, D. (2002). Heuristics and biases. Cambridge University Press.
   Google Scholar
• Gómez, P. J., Lorente, J. J. C., & Cabrera, R. V. (2004). Training practices and organisational learning capability. Journal of European Industrial Training, 28, 234–256.
   Google Scholar
• Gómez-Mejía, L. R., Takács Haynes, K., Núñez-Nickel, M., Jacobson, K. J. L., & Moyano-Fuentes, J. (2007). Socioemotional wealth and business risks in family-controlled firms: Evidence from Spanish olive oil mills. Administrative Science Quarterly, 52(1), 106–137. https://doi.org/10.2189/asqu.52.1.106
   Web of Science ®Google Scholar
• Hansson, S. O. (2007). Philosophical and problems in cost-benefit analysis. Economics and Philosophy, 23(2), 163–183. https://doi.org/10.1017/S0266267107001356
   Web of Science ®Google Scholar
• Harrison, D. A., Price, K. H., Gavin, J. H., & Florey, A. T. (2002). Time, teams, and task performance: Changing effects of surface- and deep-level diversity on group functioning. Academy of Management Journal, 45(5), 1029–1045. https://doi.org/10.5465/3069328
   Web of Science ®Google Scholar
• Hollow, M. (2014). The 1920 Farrow’s bank failure: A case of managerial hubris?Journal of Management History, 20(2), 164–178. https://doi.org/10.1108/JMH-11-2012-0071
   Google Scholar
• Jiang, K. F., Lepak, D. P., Hu, J., & Baer, J. C. (2012). How does human resource management influence organizational outcomes? A meta–analytic investigation of mediating mechanisms. Academy of Management Journal, 6, 1264–1294.
   Google Scholar
• Jones, J. T. (2005). The determinants of training in Australian manufacturing SMEs. Education + Training, 47(8/9), 605–615. https://doi.org/10.1108/00400910510633143
   Google Scholar
• Joshi, A., & Roh, H. (2009). The role of context in work team diversity research: A meta-analytic review. Academy of Management Journal, 52(3), 599–627. https://doi.org/10.5465/amj.2009.41331491
   Web of Science ®Google Scholar
• Karmel, T., & Cully, M. (2009). The demand for training. Presented at the Skills Australia, Academy of Social Sciences in Sydney.
   Google Scholar
• Katou, A. A. (2012). Investigating reverse causality between human resource management policies and organizational performance in small firms. Management Research Review, 35(2), 134–531. https://doi.org/10.1108/01409171211195161
   Google Scholar
• Kim, H. J., Choi, H., & Kim, J. W. (2010). A comparative study of the effects of low and high uncertainty avoidance on continuance behavior. Journal of Global Information Management, 18, 1–29.
   Web of Science ®Google Scholar
• Lang, J. W. B., & Bliese, P. D. (2009). General mental ability and two types of adaptation to unforeseen change: Applying discontinuous growth models to the task-change paradigm. The Journal of Applied Psychology, 94(2), 411–428. https://doi.org/10.1037/a0013803
   PubMed Web of Science ®Google Scholar
• Lau, C. M., & Ngo, H. Y. (2004). The HR system organizational culture and product innovation. International Business Review, 13(6), 685–703. https://doi.org/10.1016/j.ibusrev.2004.08.001
   Google Scholar
• Lawrence, P. R., & Lorsch, J. W. (1967). Differentiation and integration in complex organizations. Administrative Science Quarterly, 12(1), 1–47. https://doi.org/10.2307/2391211
   Web of Science ®Google Scholar
• Lenoir, G., & Tuchschmid, N. (2001). Investment time horizon and asset allocation models. Financial Markets and Portfolio Management, 15(1), 76–93. https://doi.org/10.1007/s11408-001-0106-2
   Google Scholar
• Liao, T. S., Rice, J., & Martin, N. (2011). The role of the market in transforming training and knowledge to superior performance: Evidence from the Australian manufacturing sector. The International Journal of Human Resource Management, 22(2), 376–394. https://doi.org/10.1080/09585192.2011.540161
   Web of Science ®Google Scholar
• Lunenburg, F. C. (2012). Organizational structure: Mintzberg’s framework. International Journal of Scholarly, Academic, Intellectual Diversity, 14, 1–8.
   Google Scholar
• Magableh, I. K., Kharabsheh, R., & Al-Zubi, K. A. (2011). Determinants and impact of training: The case of SMEs in Jordan. International Journal of Economics & Finance, 3, 104–116.
   Google Scholar
• Martin, G., Farndale, E., Paauwe, J., & Stiles, P. G. (2016). Corporate governance and strategic human resource management: Four archetypes and proposals for a new approach to corporate sustainability. European Management Journal, 34(1), 22–35. https://doi.org/10.1016/j.emj.2016.01.002
   Web of Science ®Google Scholar
• Nguyen, T. N., & Truong, Q. (2011). The impact of training on firm performance in a transitional economy: Evidence from Vietnam. Research & Practice in Human Resource Management, 19, 11–24.
   Google Scholar
• Park, H. J., Mitsuhashi, H., Fey, C. F., & Björkman, I. (2003). The effect of human resource management practices on Japanese MNC subsidiary performance: A partial mediating model. The International Journal of Human Resource Management, 14(8), 1391–1406. https://doi.org/10.1080/0958519032000145819
   Web of Science ®Google Scholar
• Raudenbush, S. W., & Bryk, A. S. (2002). Hierarchical linear models: Applications and data analysis methods (2nd ed.). Sage.
   Google Scholar
• Reid, R. S., & Harris, R. D. (2002). The determinants of training in SMEs in Northern Ireland. Education + Training, 44(8/9), 443–450. https://doi.org/10.1108/00400910210449286
   Google Scholar
• Rowley, C., Benson, J., & Warner, M. (2004). Towards an Asian model of human resource management? A comparative analysis of China, Japan and South Korea. The International Journal of Human Resource Management, 15(4-5), 917–933. https://doi.org/10.1080/0958519042000192013
   Web of Science ®Google Scholar
• Rueda-Manzanares, A., Aragón-Correa, J. A., & Sharma, S. (2008). The influence of stakeholders on the environmental strategy of service firms: The moderating effects of complexity, uncertainty and munificence. British Journal of Management, 19(2), 185–203. https://doi.org/10.1111/j.1467-8551.2007.00538.x
   Web of Science ®Google Scholar
• Salas, E., Tannenbaum, S. I., Kraiger, K., & Smith-Jentsch, K. A. (2012). The science of training and development in organizations: What matters in practice. Association for Psychological Science, 13, 74–101.
   Web of Science ®Google Scholar
• Sánchez-Marín, G., Meroño-Cerdan, A. L., & Carrasco-Hernández, A. (2019). Formalized HR practices and firm performance: An empirical comparison of family and non-family firms. The International Journal of Human Resource Management, 30(7), 1084–1110. https://doi.org/10.1080/09585192.2017.1289547
   Web of Science ®Google Scholar
• Shobana, K., Bhagat, M., & Kannan, N. G. (2012). Making the HR outsourcing decision–lessons from the resource based view of the firm. International Journal of Business Insights & Transformation, 5, 87–95.
   Google Scholar
• Sitzmann, T., & Weinhardt, J. M. (2018). Training engagement theory: A multilevel perspective on the effectiveness of work-related training. Journal of Management, 44(2), 732–756. https://doi.org/10.1177/0149206315574596
   Web of Science ®Google Scholar
• Soskice, D., & Hall, P. (2001). Varieties of capitalism: The institutional foundations of comparative advantage. Academy of Management Review, 28, 891–894.
   Web of Science ®Google Scholar
• State of the Industry (2018). Association for Talent Development. ISBN 9781949036152. https://www.td.org/research-reports/2018-state-of-the-industry
   Google Scholar
• Sung, S. Y., & Choi, J. N. (2014). Multiple dimensions of human resource development and organizational performance. Journal of Organizational Behavior, 35(6), 851–870. https://doi.org/10.1002/job.1933
   Web of Science ®Google Scholar
• Sung, S. Y., & Choi, J. N. (2018). To invest or not to invest: Strategic decision-making toward investing in training and development in Korean manufacturing firms. The International Journal of Human Resource Management, 29(13), 2080–2105. https://doi.org/10.1080/09585192.2016.1239215
   Web of Science ®Google Scholar
• Werner, J. M., & DeSimone, R. L. (2006). Human resource development (4th ed.). Thomson-South Western.
   Google Scholar
• Wright, P. M., Coff, R., & Moliterno, T. P. (2014). Strategic human capital: Cross the great divide. Journal of Management, 40(2), 353–370. https://doi.org/10.1177/0149206313518437
   Web of Science ®Google Scholar
• Xue, Y., Liang, H., & Boulton, W. R. (2008). Information technology governance in information technology investment decision processes: The impact of investment characteristics, external environment, and internal context. MIS Quarterly, 32, 67–96. https://doi.org/10.2307/25148829
   Web of Science ®Google Scholar