IDEAS home Printed from https://ideas.repec.org/a/eee/oprepe/v6y2019ics2214716018302872.html
   My bibliography  Save this article

Advancing lean management: The missing quantitative approach

Author

Listed:
  • Pearce, Antony
  • Pons, Dirk

Abstract

For 25 years, the methodologies employed to study lean management have gone relatively unchallenged. This paper reviews the development of the lean body of knowledge and reveals that the vast majority of research, being qualitative, relied heavily on researcher subjectivity. Quantitative analyses are needed to verify and strengthen existing literature and especially confirm the critical factors for lean success. Various theories requiring validation were identified and studies that incorporate Structural Equation Modelling were proposed. Such studies would advance industry practice, giving the tangible statistical evidence needed for educating practitioners. Practitioners are encouraged to consider the empirical basis of lean publications.

Suggested Citation

  • Pearce, Antony & Pons, Dirk, 2019. "Advancing lean management: The missing quantitative approach," Operations Research Perspectives, Elsevier, vol. 6(C).
  • Handle: RePEc:eee:oprepe:v:6:y:2019:i:c:s2214716018302872
    DOI: 10.1016/j.orp.2019.100114
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S2214716018302872
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.orp.2019.100114?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. TENENHAUS, Michel, 2008. "Component-based structural equation modelling," HEC Research Papers Series 887, HEC Paris.
    2. Rigdon, Edward E., 2016. "Choosing PLS path modeling as analytical method in European management research: A realist perspective," European Management Journal, Elsevier, vol. 34(6), pages 598-605.
    3. Mingers, John & Yang, Liying, 2017. "Evaluating journal quality: A review of journal citation indicators and ranking in business and management," European Journal of Operational Research, Elsevier, vol. 257(1), pages 323-337.
    4. Dirk Pons, 2010. "System model of production inventory control," International Journal of Manufacturing Technology and Management, Inderscience Enterprises Ltd, vol. 20(1/2/3/4), pages 120-155.
    5. Radnor, Zoe J. & Holweg, Matthias & Waring, Justin, 2012. "Lean in healthcare: The unfilled promise?," Social Science & Medicine, Elsevier, vol. 74(3), pages 364-371.
    6. Michel Tenenhaus, 2008. "Component-based Structural Equation Modelling," Working Papers hal-00580149, HAL.
    7. Abdulmalek, Fawaz A. & Rajgopal, Jayant, 2007. "Analyzing the benefits of lean manufacturing and value stream mapping via simulation: A process sector case study," International Journal of Production Economics, Elsevier, vol. 107(1), pages 223-236, May.
    8. Joseph F. Hair & G. Tomas M. Hult & Christian M. Ringle & Marko Sarstedt & Kai Oliver Thiele, 2017. "Mirror, mirror on the wall: a comparative evaluation of composite-based structural equation modeling methods," Journal of the Academy of Marketing Science, Springer, vol. 45(5), pages 616-632, September.
    9. Pierre Berthon & Leyland Pitt & Michael Ewing & Christopher L. Carr, 2002. "Potential Research Space in MIS: A Framework for Envisioning and Evaluating Research Replication, Extension, and Generation," Information Systems Research, INFORMS, vol. 13(4), pages 416-427, December.
    10. Nicola Bateman & Peter Hines & Peter Davidson, 2014. "Wider applications for Lean," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 63(5), pages 550-568, June.
    11. Pearce, Antony & Pons, Dirk & Neitzert, Thomas, 2018. "Implementing lean—Outcomes from SME case studies," Operations Research Perspectives, Elsevier, vol. 5(C), pages 94-104.
    12. Jarl Kampen & Marc Swyngedouw, 2000. "The Ordinal Controversy Revisited," Quality & Quantity: International Journal of Methodology, Springer, vol. 34(1), pages 87-102, February.
    13. Cox, Andrew & Chicksand, Dan, 2005. "The Limits of Lean Management Thinking:: Multiple Retailers and Food and Farming Supply Chains," European Management Journal, Elsevier, vol. 23(6), pages 648-662, December.
    14. Fatma Pakdil & Karen Moustafa Leonard, 2017. "Implementing and sustaining lean processes: the dilemma of societal culture effects," International Journal of Production Research, Taylor & Francis Journals, vol. 55(3), pages 700-717, February.
    15. Kull, Thomas J. & Yan, Tingting & Liu, Zhongzhi & Wacker, John G., 2014. "The moderation of lean manufacturing effectiveness by dimensions of national culture: Testing practice-culture congruence hypotheses," International Journal of Production Economics, Elsevier, vol. 153(C), pages 1-12.
    16. Naga Vamsi Krishna Jasti & Rambabu Kodali, 2015. "Lean production: literature review and trends," International Journal of Production Research, Taylor & Francis Journals, vol. 53(3), pages 867-885, February.
    17. Sarstedt, Marko & Hair, Joseph F. & Ringle, Christian M. & Thiele, Kai O. & Gudergan, Siegfried P., 2016. "Estimation issues with PLS and CBSEM: Where the bias lies!," Journal of Business Research, Elsevier, vol. 69(10), pages 3998-4010.
    18. Fujimoto, Takahiro, 1999. "The Evolution of Manufacturing Systems at Toyota," OUP Catalogue, Oxford University Press, number 9780195123203.
    19. Robert Birnbaum, 2000. "The Life Cycle of Academic Management Fads," The Journal of Higher Education, Taylor & Francis Journals, vol. 71(1), pages 1-16, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mai Mostafa Awad & Abd‘Elazez Hashem & Hend Mohamed Naguib, 2022. "The Impact of Lean Management Practices on Economic Sustainability in Services Sector," Sustainability, MDPI, vol. 14(15), pages 1-27, July.
    2. Zuzhen Ji & Dirk Pons & Zhouyang Su & Zichong Lyu & John Pearse, 2022. "Integrating Occupational Health and Safety Risk and Production Economics for Sustainable SME Growth," Sustainability, MDPI, vol. 14(21), pages 1-19, November.
    3. Olga Orynycz & Karol Tucki & Miron Prystasz, 2020. "Implementation of Lean Management as a Tool for Decrease of Energy Consumption and CO 2 Emissions in the Fast Food Restaurant," Energies, MDPI, vol. 13(5), pages 1-26, March.
    4. Antony Pearce & Dirk Pons & Thomas Neitzert, 2023. "Understanding Lean—Statistical Analysis of Perceptions and Self-Deception Regarding Lean Management," SN Operations Research Forum, Springer, vol. 4(2), pages 1-43, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Antony Pearce & Dirk Pons & Thomas Neitzert, 2023. "Understanding Lean—Statistical Analysis of Perceptions and Self-Deception Regarding Lean Management," SN Operations Research Forum, Springer, vol. 4(2), pages 1-43, June.
    2. Basco, Rodrigo & Hair, Joseph F. & Ringle, Christian M. & Sarstedt, Marko, 2022. "Advancing family business research through modeling nonlinear relationships: Comparing PLS-SEM and multiple regression," Journal of Family Business Strategy, Elsevier, vol. 13(3).
    3. Gyeongcheol Cho & Christopher Schlaegel & Heungsun Hwang & Younyoung Choi & Marko Sarstedt & Christian M. Ringle, 2022. "Integrated Generalized Structured Component Analysis: On the Use of Model Fit Criteria in International Management Research," Management International Review, Springer, vol. 62(4), pages 569-609, August.
    4. Heungsun Hwang & Gyeongcheol Cho, 2020. "Global Least Squares Path Modeling: A Full-Information Alternative to Partial Least Squares Path Modeling," Psychometrika, Springer;The Psychometric Society, vol. 85(4), pages 947-972, December.
    5. Joseph F. Hair & G. Tomas M. Hult & Christian M. Ringle & Marko Sarstedt & Kai Oliver Thiele, 2017. "Mirror, mirror on the wall: a comparative evaluation of composite-based structural equation modeling methods," Journal of the Academy of Marketing Science, Springer, vol. 45(5), pages 616-632, September.
    6. Eva Mª Buitrago & Mª Ángeles Caraballo & José L. Roldán, 2019. "Do Tolerant Societies Demand Better Institutions?," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 143(3), pages 1161-1184, June.
    7. Pasquale Dolce & Vincenzo Esposito Vinzi & Natale Carlo Lauro, 2018. "Non-symmetrical composite-based path modeling," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 12(3), pages 759-784, September.
    8. Gyeongcheol Cho & Heungsun Hwang & Marko Sarstedt & Christian M. Ringle, 2020. "Cutoff criteria for overall model fit indexes in generalized structured component analysis," Journal of Marketing Analytics, Palgrave Macmillan, vol. 8(4), pages 189-202, December.
    9. Pearce, Antony & Pons, Dirk & Neitzert, Thomas, 2018. "Implementing lean—Outcomes from SME case studies," Operations Research Perspectives, Elsevier, vol. 5(C), pages 94-104.
    10. Fernando Gimeno-Arias & José Manuel Santos-Jaén & Mercedes Palacios-Manzano & Héctor Horacio Garza-Sánchez, 2021. "Using PLS-SEM to Analyze the Effect of CSR on Corporate Performance: The Mediating Role of Human Resources Management and Customer Satisfaction. An Empirical Study in the Spanish Food and Beverage Man," Mathematics, MDPI, vol. 9(22), pages 1-21, November.
    11. Andreas Kakouris & Eleni Sfakianaki & Marios Tsioufis, 2022. "Lean thinking in lean times for education," Annals of Operations Research, Springer, vol. 316(1), pages 657-697, September.
    12. José Roberto Frega & Alex Antonio Ferraresi & Carlos Olavo Quandt & Claudimar Pereira da Veiga, 2018. "Relationships Among Knowledge Management, Organisational Innovativeness and Performance: Covariance-Based Versus Partial Least-Squares Structural Equation Modelling," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 17(01), pages 1-19, March.
    13. Dolores Gallardo-Vázquez & Luis Enrique Valdez-Juárez & José Luis Lizcano-Álvarez, 2019. "Corporate Social Responsibility and Intellectual Capital: Sources of Competitiveness and Legitimacy in Organizations’ Management Practices," Sustainability, MDPI, vol. 11(20), pages 1-29, October.
    14. Rodríguez-López, María Eugenia & Higueras-Castillo, Elena & Rojas-Lamorena, Álvaro J. & Alcántara-Pilar, Juan Miguel, 2024. "The future of TV-shopping: predicting user purchase intention through an extended technology acceptance model," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
    15. Myra Sader & Barthélemy Chollet & Sébastien Brion & Olivier Trendel, 2021. "Supported, detached, or marginalized? The ambivalent role of social capital on stress at work," Post-Print hal-03167159, HAL.
    16. Halpern, Nigel & Mwesiumo, Deodat & Suau-Sanchez, Pere & Budd, Thomas & Bråthen, Svein, 2021. "Ready for digital transformation? The effect of organisational readiness, innovation, airport size and ownership on digital change at airports," Journal of Air Transport Management, Elsevier, vol. 90(C).
    17. John Oredo & Denis Dennehy, 2023. "Exploring the Role of Organizational Mindfulness on Cloud Computing and Firm Performance: The Case of Kenyan Organizations," Information Systems Frontiers, Springer, vol. 25(5), pages 2029-2050, October.
    18. Immacolata Di Napoli & Pasquale Dolce & Caterina Arcidiacono, 2019. "Community Trust: A Social Indicator Related to Community Engagement," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 145(2), pages 551-579, September.
    19. Barba-Aragón, María Isabel & Jiménez-Jiménez, Daniel, 2020. "HRM and radical innovation: A dual approach with exploration as a mediator," European Management Journal, Elsevier, vol. 38(5), pages 791-803.
    20. Antonia Madrid‐Guijarro & Antonio Duréndez, 2024. "Sustainable development barriers and pressures in SMEs: The mediating effect of management commitment to environmental practices," Business Strategy and the Environment, Wiley Blackwell, vol. 33(2), pages 949-967, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:oprepe:v:6:y:2019:i:c:s2214716018302872. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/operations-research-perspectives .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.