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A measurement model of dynamic capabilities of the continuous improvement project and its role in the renewal of the company’s products/services

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Abstract

Most continuous improvement (CI) projects fail due to poorly developed hard/soft enablers. Previous studies have considered these enablers mainly at the organizational level. Although the context of each CI project is complex and unique and represents a temporal organization that also determines the project’s success, its internal factors have been under-researched. The paper analyzes the CI project from a dynamic capability (DC) perspective by differentiating between zero/first-order and second-order routines (i.e., the DCs of the CI project). Moreover, it conceptualizes, operationalizes, and validates a measurement model of such DCs. The unit of analysis is the CI project, and the sample consists of 68 projects (one per organization) in Colombia. The empirical validation criteria comprise goodness-of-fit, reliability (Cronbach’s alpha and composite), and validity (convergent and discriminant). The paper provides a reasonable/parsimonious measurement model comprising five DCs (synergy, ideation, absorption, integration, and coordination) at the CI project level. It clarifies the DCs of the CI project and how they can be operationalized. Based on this measurement model, we argue the role of such DCs in facilitating organizational adaption to changes in the environment (a novel conceptual model). These insights will be valuable for decision-making by researchers and managers in quality/project/operational management.

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Correspondence to Jorge Iván Pérez-Rave.

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Appendix 1

Appendix 1

1.1 The proposed scale of dynamic capabilities of the continuous improvement project

Instructions: Focusing on the last CI project in which you participated in your current company, please indicate the answer that best describes the development process of said project. Scale: 1 = strongly disagree to 5 = strongly agree.

1.1.1 CI ideation

  • dpc2. We proactively addressed concerns about possible project difficulties.

  • dpc5. We quickly understood the needs and expectations of the users of the project.

  • dpc6. We identified the fundamental requirements for the project deliverables.

1.1.2 CI absorption

  • dpc8. We assimilated new information when developing the project deliverables.

  • dpc9. We considered new evidence when analyzing the root cause of the problem to be solved through the project.

  • dpc10. We incorporated new information when defining objectives and goals during the project.

  • dpc12. We expanded our knowledge as the project progressed.

1.1.3 CI integration

  • dpc14. We generated solutions that considered ideas, contributions, or knowledge from other sources in the project (e.g., colleagues, bosses, teachers, manuals, and the scientific literature).

  • dpc16. We designed action plans that took into account the needs and expectations of the project’s main internal or external users.

  • dpc17. We executed action plans that were supported by solid evidence collected during the project.

  • dpc18. We define how each team member would contribute to the achievement of the project objectives.

1.1.4 CI coordination

  • dpc22. We were able to document and transfer the lessons learnt or best practices collected throughout the project.

  • dpc23. We ensured the provision of the required resources at each stage of the project.

  • dpc24. We achieve that the organization still uses the solutions generated by the project.

1.1.5 CI synergy

  • dpc27. We supported each other even when difficulties arose during the project.

  • dpc28. We worked as a team to carry out each stage of the project.

  • dpc29. We were committed to a common purpose around the project.

    dpc30. We strove to overcome our weaknesses as new challenges arose during the project.

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Pérez-Rave, J.I., Guerrero, R.F., Vallina, A.S. et al. A measurement model of dynamic capabilities of the continuous improvement project and its role in the renewal of the company’s products/services. Oper Manag Res 16, 126–140 (2023). https://doi.org/10.1007/s12063-022-00281-9

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