Manufacturing Productivity with Worker Turnover

References

• Akşin Z, Ata B, Emadi SM, Su CL (2013) Structural estimation of callers’ delay sensitivity in call centers. Management Sci. 59(12):2727–2746.Link, Google Scholar
• Argote L (2013) Organizational Learning: Creating, Retaining and Transferring Knowledge, 2nd ed. (Springer Science & Business Media, New York).Crossref, Google Scholar
• Argote L, Beckman SL, Epple D. (1990) The persistence and transfer of learning in industrial settings. Management Sci. 36(2):140–154.Link, Google Scholar
• Arthur JB (1994) Effects of human resource systems on manufacturing performance and turnover. Acad. Management J. 37(3):670–687.Crossref, Google Scholar
• Bloom N, Eifert B, Mahajan A, McKenzie D, Roberts J (2013) Does management matter? Evidence from India. Quart. J. Econom. 128(1):1–51.Crossref, Google Scholar
• Borgatti SP, Cross R (2003) A relational view of information seeking and learning in social networks. Management Sci. 49(4):432–445.Link, Google Scholar
• Bray RL, Mendelson H (2012) Information transmission and the bullwhip effect: An empirical investigation. Management Sci. 58(5):860–875.Link, Google Scholar
• CEES (2017) How are Chinese manufacturing firms coping with rising labor costs: A report of China employer–employee survey (2015–2016), China Employer-Employee Survey report. Wuhan University, Wuhan, China.Google Scholar
• De Farias DP, Van Roy B (2003) The linear programming approach to approximate dynamic programming. Oper. Res. 51(6):850–865.Link, Google Scholar
• De Farias DP, Van Roy B (2004) On constraint sampling in the linear programming approach to approximate dynamic programming. Math. Oper. Res. 29(3):462–478.Link, Google Scholar
• Eckardt R, Skaggs BC, Youndt M (2014) Turnover and knowledge loss: An examination of the differential impact of production manager and worker turnover in service and manufacturing firms. J. Management Stud. 51(7):1025–1057.Crossref, Google Scholar
• Egelman CD, Epple D, Argote L, Fuchs ERH (2017) Learning by doing in multiproduct manufacturing: Variety, customizations, and overlapping product generations. Management Sci. 63(2):405–423.Link, Google Scholar
• Emadi SM, Staats BR (2020) A structural estimation approach to study agent attrition. Management Sci. 66(9):4071–4095.Link, Google Scholar
• Epple D, Argote L, Murphy K (1996) An empirical investigation of the microstructure of knowledge acquisition and transfer through learning by doing. Oper. Res. 44(1):77–86.Link, Google Scholar
• Farias V, Saure D, Weintraub GY (2012) An approximate dynamic programming approach to solving dynamic oligopoly models. RAND J. Econom. 43(2):253–282.Crossref, Google Scholar
• Fershtman C, Pakes A (2012) Dynamic games with asymmetric information: A framework for empirical work. Quart. J. Econom. 127(4):1611–1661.Crossref, Google Scholar
• Fine CH, Freund RM (1990) Optimal investment in product-flexible manufacturing capacity. Management Sci. 36(4):449–466.Link, Google Scholar
• Fisher ML (1997) What is the right supply chain for your product? Harvard Bus. Rev. 75:105–117.Google Scholar
• Fisher ML, Ittner CD (1999) The impact of product variety on automobile assembly operations: Empirical evidence and simulation analysis. Management Sci. 45(6):771–786.Link, Google Scholar
• Fisher M, Raman A (1996) Reducing the cost of demand uncertainty through accurate response to early sales. Oper. Res. 44(1):87–99.Link, Google Scholar
• Fisher M, Hammond J, Obermeyer W, Raman A (1997) Configuring a supply chain to reduce the cost of demand uncertainty. Production Oper. Management 6(3):211–225.Crossref, Google Scholar
• Gaur V, Seshadri S (2005) Hedging inventory risk through market instruments. Manufacturing Service Oper. Management 7(2):103–120.Link, Google Scholar
• Gaur V, Fisher ML, Raman A (2005) An econometric analysis of inventory turnover performance in retail services. Management Sci. 51(2):181–194.Link, Google Scholar
• Glebbeek AC, Bax EH (2004) Is high employee turnover really harmful? An empirical test using company records. Acad. Management J. 47(2):277–286.Crossref, Google Scholar
• Goyal M, Netessine S (2011) Volume flexibility, product flexibility, or both: The role of demand correlation and product substitution. Manufacturing Service Oper. Management 13(2):180–193.Link, Google Scholar
• Grant RM (1996) Toward a knowledge-based theory of the firm. Strategic Management J. 17(S2):109–122.Crossref, Google Scholar
• Graves SC (1988) Safety stocks in manufacturing systems. J. Manufacturing Oper. Management 1(1):67–101.Google Scholar
• Graves SC, Willems SP (2000) Optimizing strategic safety stock placement in supply chains. Manufacturing Service Oper. Management 2(1):68–83.Link, Google Scholar
• Holtom BC, Mitchell TR, TW Lee, Eberly MB (2008) Turnover and retention research: A glance at the past, a closer review of the present, and a venture into the future. Acad. Management Ann. 2(1):231–274.Crossref, Google Scholar
• Hossain T, List JA (2012) The behavioralist visits the factory: Increasing productivity using simple framing manipulations. Management Sci. 58(12):2151–2167.Link, Google Scholar
• Huselid MA (1995) The impact of human resource management practices on turnover, productivity, and corporate financial performance. Acad. Management J. 38(3):635–672.Crossref, Google Scholar
• Ichniowski C, Shaw K, Prennushi G (1997) The effects of human resource management practices on productivity: A study of steel finishing lines. Amer. Econom. Rev. 87(3):291–313.Google Scholar
• Jordan WC, Graves SC (1995) Principles on the benefits of manufacturing process flexibility. Management Sci. 41(4):577–594.Link, Google Scholar
• Kacmar MK, Andrews MC, Van Rooy DL, Steilberg RC, Cerrone S (2006) Sure everyone can be replaced? But at what cost? Turnover as a predictor of unit-level performance. Acad. Management J. 49(1):133–144.Crossref, Google Scholar
• Kesavan S, Lambert SJ, Williams JC, Pendem PK (2022) Doing well by doing good: Improving retail store performance with responsible scheduling practices at the Gap, Inc. Management Sci. Forthcoming.Google Scholar
• Kim SW, Olivares M, Weintraub GY (2014) Measuring the performance of large-scale combinatorial auctions: A structural estimation approach. Management Sci. 60(5):1180–1201.Link, Google Scholar
• Krueger A, Rouse C (1998) The effect of workplace education on earnings, turnover, and job performance. J. Labor Econom. 16(1):61–94.Crossref, Google Scholar
• Lazear EP (2000) Performance pay and productivity. Amer. Econom. Rev. 90(5):1346–1361.Crossref, Google Scholar
• Li J, Granados N, Netessine S (2014) Are consumers strategic? Structural estimation from the air-travel industry. Management Sci. 60(9):2114–2137.Link, Google Scholar
• MacDuffie JP (1995) Human resource bundles and manufacturing performance: Organizational logic and flexible production systems in the world auto industry. Industry Labor Related Rev. 48(2):197–221.Crossref, Google Scholar
• Moon K, Bimpikis K, Mendelson H (2018) Randomized markdowns and online monitoring. Management Sci. 64(3):1271–1290.Link, Google Scholar
• Moon K, Loyalka PK, Bergemann P, Cohen J (2022) The hidden cost of worker turnover: Attributing product reliability to the turnover of factory workers. Management Sci. 68(5):3755–3767.Link, Google Scholar
• Moreno A, Terwiesch C (2015) Pricing and production flexibility: An empirical analysis of the US automotive industry. Manufacturing Service Oper. Management 17(4):428–444.Link, Google Scholar
• Musalem A, Olivares M, Yung D (2020) Balancing agent retention and waiting time in service platforms. Preprint, submitted January 1, https://dx.doi.org/10.2139/ssrn.3502469.Google Scholar
• Narayanan S, Balasubramanian S, Swaminathan JM (2009) A matter of balance: Specialization, task variety, and individual learning in a software maintenance environment. Management Sci. 55(11):1861–1876.Link, Google Scholar
• Owen LJ (1995) Worker turnover in the 1920s: What labor-supply arguments don’t tell us. J. Econom. History 55(4):822–841.Crossref, Google Scholar
• Plevan B, Schindel AJ, Robbins HZ, Tarasewicz Y, Oncidi AJ, Mittman JM, Weitzman AH, et al. (2011) Ten frequently asked questions about China’s labor law. Proskauer Rose LLP: International HR Best Practices (January newsletter). https://www.proskauer.com/insights/download-pdf/1665.Google Scholar
• Schlichter SH (1919) The Turnover of Factory Labor (Appleton and Company).Google Scholar
• Shaw JD (2011) Turnover rates and organizational performance: Review, critique, and research agenda. Organ. Psych. Rev. 1(3):187–213.Crossref, Google Scholar
• Shaw JD, Gupta N, Delery JE (2005) Alternative conceptualizations of the relationship between voluntary turnover and organizational performance. Acad. Management J. 48(1):50–68.Crossref, Google Scholar
• Shih WC (2014) What it takes to reshore manufacturing successfully. MIT Sloan Management Rev. 56(1):55–62.Google Scholar
• Siemsen E, Balasubramanian S, Roth AV (2007) Incentives that induce task-related effort, helping, and knowledge sharing in workgroups. Management Sci. 53(10):1533–1550.Link, Google Scholar
• Simchi-Levi D, Wang H, Wei Y (2018) Increasing supply chain robustness through process flexibility and inventory. Production Oper. Management 27(8):1476–1491.Crossref, Google Scholar
• Simchi-Levi D, Schmidt W, Wei Y, Zhang PY, Combs K, Ge Y, Gusikhin O, et al. (2015) Identifying risks and mitigating disruptions in the automotive supply chain. Interfaces 45(5):375–390.Link, Google Scholar
• Tang CS (1990) The impact of uncertainty on a production line. Management Sci. 36(12):1518–1531.Link, Google Scholar
• Tomlin B (2006) On the value of mitigation and contingency strategies for managing supply chain disruption risks. Management Sci. 52(5):639–657.Link, Google Scholar
• Ton Z, Huckman RS (2008) Managing the impact of employee turnover on performance: The role of process conformance. Organ. Sci. 19(1):56–68.Link, Google Scholar
• Youndt MA, Snell SA, Dean JW Jr, Lepak DP (1996) Human resource management, manufacturing strategy, and firm performance. Acad. Management J. 39(4):836–866.Crossref, Google Scholar
• Yu Q, Allon G, Bassamboo A (2016) How do delay announcements shape customer behavior? An empirical study. Management Sci. 63(1):1–20.Link, Google Scholar