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Metacognition-based process improvement practices

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  • Cho, Young Sik
  • Linderman, Kevin

Abstract

While cognition is the knowledge structure used by people to make an assessment or decision, metacognition is the higher-order process controlling that existing knowledge structure. Thus, the functional role of metacognition in process improvement practices (PIP) is quite different from the role of cognition. Metacognition has been studied in several disciplines, including education, psychology, and neuroscience; however, research has yet to address the role of metacognition in an operations management context. Thus, the present study explored how a process improvement leader's metacognitive awareness influences PIP effectiveness. A survey was conducted with process improvement leaders from U.S.-based firms. Results revealed that managerial metacognition was positively related to adaptive PIP performance within the organization. There was also a positive synergistic relationship between managerial metacognition and PIP implementation on a firm's competitive advantage. We discussed practical and theoretical implications as well as future research agendas for how managerial metacognitive skills can be utilized for advantageous operational activities. This study not only contributes to the operations literature by providing new insights into the relationship between psychological and methodological mechanisms in PIP implementation but also provides the first step toward theory-building in terms of metacognition concepts in operations management.

Suggested Citation

  • Cho, Young Sik & Linderman, Kevin, 2019. "Metacognition-based process improvement practices," International Journal of Production Economics, Elsevier, vol. 211(C), pages 132-144.
  • Handle: RePEc:eee:proeco:v:211:y:2019:i:c:p:132-144
    DOI: 10.1016/j.ijpe.2019.01.030
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    2. Palash Saha & Subrata Talapatra & H. M. Belal & Victoria Jackson, 2022. "Unleashing the Potential of the TQM and Industry 4.0 to Achieve Sustainability Performance in the Context of a Developing Country," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 23(4), pages 495-513, December.
    3. Henrik Saabye & Thomas Borup Kristensen & Brian Vejrum Wæhrens, 2020. "Real-Time Data Utilization Barriers to Improving Production Performance: An In-depth Case Study Linking Lean Management and Industry 4.0 from a Learning Organization Perspective," Sustainability, MDPI, vol. 12(21), pages 1-21, October.
    4. Young Sik Cho & Kevin Linderman, 2020. "Resource-Based Product and Process Innovation Model: Theory Development and Empirical Validation," Sustainability, MDPI, vol. 12(3), pages 1-23, January.
    5. Ladinig, Thomas B. & Vastag, Gyula, 2021. "Mapping quality linkages based on tacit knowledge," International Journal of Production Economics, Elsevier, vol. 233(C).

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