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Productivity Measurement and the Relationship between Plant Performance and JIT Intensity

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  • JEFFREY L. CALLEN
  • MINDY MOREL
  • CHRISTINA FADER

Abstract

The management accounting and operations management literatures argue that the adoption of advanced manufacturing practices, such as just†in†time (JIT), necessitates complementary changes in a firm's management accounting and control systems. This study uses a sample of JIT and non†JIT plants operating in the Canadian automotive parts manufacturing industry to study the interaction among performance outcomes, intensity of JIT practices, and productivity measurement. This study provides evidence that productivity measurement mediates the relationship between performance outcomes and intensity of JIT practices. Specifically, both JIT and non†JIT plants that use a broader range of productivity measures are more efficient and profitable than other plants. Also, plants that employ industry†driven productivity measures are more profitable and efficient than plants that employ idiosyncratic productivity measures, especially if the former are more JIT†intensive than the latter. Furthermore, plants that employ quality productivity measures are less efficient and less profitable than those that do not, especially if they use more intensive JIT practices. The latter result is consistent with JIT†intensive plants overinvesting in quality. This study also finds that plants that invest more in buffer stock are less efficient and less profitable, especially if they use more intensive JIT practices. Despite the fact that plant profitability and efficiency are highly correlated, JIT†intensive plants are more profitable but less efficient than plants that are not JIT†intensive, after controlling for productivity measures, plant size, and buffer stock. This result suggests that despite wasting resources, JIT†intensive plants are still able to generate relatively higher profits than plants that are not JIT†intensive.

Suggested Citation

  • Jeffrey L. Callen & Mindy Morel & Christina Fader, 2005. "Productivity Measurement and the Relationship between Plant Performance and JIT Intensity," Contemporary Accounting Research, John Wiley & Sons, vol. 22(2), pages 271-309, June.
  • Handle: RePEc:wly:coacre:v:22:y:2005:i:2:p:271-309
    DOI: 10.1506/GU78-6EDM-1G36-4YBQ
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    Cited by:

    1. Dafydd Mali & Hyoung-Joo Lim, 2022. "Does relative (absolute) efficiency affect capital costs?," Annals of Operations Research, Springer, vol. 315(2), pages 1037-1060, August.
    2. Abreu-Ledón, René & Luján-García, Darkys E. & Garrido-Vega, Pedro & Escobar-Pérez, Bernabé, 2018. "A meta-analytic study of the impact of Lean Production on business performance," International Journal of Production Economics, Elsevier, vol. 200(C), pages 83-102.
    3. Peter Demerjian & Baruch Lev & Sarah McVay, 2012. "Quantifying Managerial Ability: A New Measure and Validity Tests," Management Science, INFORMS, vol. 58(7), pages 1229-1248, July.
    4. Elias Sanidas & Hyeri Park, 2011. "Korean Augmented Production Function: The Role Of Services And Other Factors In Korea¡¯S Economic Growth Of Industries," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 36(1), pages 59-85, March.
    5. Cristiano Busco & Ariela Caglio & Robert Scapens, 2015. "Management and accounting innovations: reflecting on what they are and why they are adopted," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 19(3), pages 495-524, August.
    6. Ziyang Li & Qianwei Ying & Wu Yan & Chenjun Fan, 2022. "Does just‐in‐time adoption have an impact on corporate innovation: evidence from China," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 62(S1), pages 1599-1635, April.
    7. Tang, Ailie K.Y. & Lai, Kee-hung & Cheng, T.C.E., 2016. "A Multi-research-method approach to studying environmental sustainability in retail operations," International Journal of Production Economics, Elsevier, vol. 171(P3), pages 394-404.
    8. Bok Baik & Joon Chae & Sunhwa Choi & David B. Farber, 2013. "Changes in Operational Efficiency and Firm Performance: A Frontier Analysis Approach," Contemporary Accounting Research, John Wiley & Sons, vol. 30(3), pages 996-1026, September.
    9. Gusman Nawanir & Yudi Fernando & Lim Kong Teong, 2018. "A Second-order Model of Lean Manufacturing Implementation to Leverage Production Line Productivity with the Importance-Performance Map Analysis," Global Business Review, International Management Institute, vol. 19(3_suppl), pages 114-129, June.

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