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Leveraging fitness and lean bundles to build the cumulative performance sand cone model

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  • Bortolotti, Thomas
  • Danese, Pamela
  • Flynn, Barbara B.
  • Romano, Pietro

Abstract

This study examines the relationship between bundles of lean practices and cumulative performance, as described by the sand cone model. Based on the literature, hypotheses relating lean bundles to cumulative performance are proposed. They are tested using a sample of 317 plants in three industries and ten countries, based on structural equation modeling. The results indicate a set of direct and indirect relationships that illustrate: (1) the importance of organizational fitness at the base of the sand cone of practices, (2) the cumulative relationship of competitive performance, supporting the sand cone model, and (3) the cumulative relationship between lean bundles and the sand cone sequence of cumulative performance. Testing alternative models of cumulative performance lends further support to these results. The findings are discussed in terms of implications for managers seeking guidance in competing on multiple dimensions of competitive performance simultaneously, particularly in terms of establishing a foundation of organizational fitness for the cumulative implementation of lean bundles. It contributes to the literature on manufacturing strategy and lean by providing additional support for the sand cone of cumulative performance, expanding research on the sand cone of practices that support cumulative performance, describing the role that external resources like suppliers can play in mastering lean cumulatively and separating previous research on lean bundles into those related to fitness and those with a more specific goal orientation, building on the strong foundation provided by the extended resource based view and the concept of absorptive capacity.

Suggested Citation

  • Bortolotti, Thomas & Danese, Pamela & Flynn, Barbara B. & Romano, Pietro, 2015. "Leveraging fitness and lean bundles to build the cumulative performance sand cone model," International Journal of Production Economics, Elsevier, vol. 162(C), pages 227-241.
  • Handle: RePEc:eee:proeco:v:162:y:2015:i:c:p:227-241
    DOI: 10.1016/j.ijpe.2014.09.014
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    Cited by:

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    3. Genc, Talat S. & De Giovanni, Pietro, 2020. "Closed-loop supply chain games with innovation-led lean programs and sustainability," International Journal of Production Economics, Elsevier, vol. 219(C), pages 440-456.
    4. Enes Ünal & Vikash Kumar Sinha, 2023. "Sustainability trade‐offs in the circular economy: A maturity‐based framework," Business Strategy and the Environment, Wiley Blackwell, vol. 32(7), pages 4662-4682, November.
    5. Amandine Maus & Sylvie Sammut, 2016. "Le lean management, source d’accélération de l’accompagnement entrepreneurial ?," Post-Print hal-02130357, HAL.
    6. Prim, Alexandre Luis & Freitas, Kenyth Alves de & Paiva, Ely Laureano & Kumar, Maneesh, 2023. "The development of quality capabilities in Brazilian breweries: A Co-evolutionary approach," International Journal of Production Economics, Elsevier, vol. 256(C).
    7. Anand Nair & Cigdem Ataseven & Marco Habermann & David Dreyfus, 2016. "Toward a continuum of measurement scales in Just-in-Time (JIT) research – an examination of the predictive validity of single-item and multiple-item measures," Operations Management Research, Springer, vol. 9(1), pages 35-48, June.
    8. Bokhorst, Jos A.C. & Knol, Wilfred & Slomp, Jannes & Bortolotti, Thomas, 2022. "Assessing to what extent smart manufacturing builds on lean principles," International Journal of Production Economics, Elsevier, vol. 253(C).
    9. Iqbal, Tahir & Huq, Faizul & Bhutta, M. Khurrum S., 2018. "Agile manufacturing relationship building with TQM, JIT, and firm performance: An exploratory study in apparel export industry of Pakistan," International Journal of Production Economics, Elsevier, vol. 203(C), pages 24-37.
    10. Tortorella, Guilherme Luz & Narayanamurthy, Gopalakrishnan & Thurer, Matthias, 2021. "Identifying pathways to a high-performing lean automation implementation: An empirical study in the manufacturing industry," International Journal of Production Economics, Elsevier, vol. 231(C).
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