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An improved fuzzy-AHP (IFAHP) approach to compare SECI modes

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  • Satish Tyagi

Abstract

Mental models and knowledge base of an employee are two key resources of an organisation that are imperative to develop innovative products. Effective utilisation of socialisation (S), externalisation (E), combination (C) and internalisation (I) modes within any product development (PD) phase plays an important role in creating new knowledge and updating the mental models. In order to investigate the influence of SECI modes on a specific PD phase, an improved fuzzy analytical hierarchy process approach is presented. In simple fuzzy analytical hierarchy process, the numbers are either normalised or a zero value is assigned to the degree of possibility when two triangles are not intersecting with each other. This approach calculates distorted values of degree of possibility and thus very likely produces false ranking of alternatives. The article proposes to extend the triangle edges about x -axis until they intersect when the pessimistic value of one triangle is more than the optimistic value of other triangle. It allows developing a mathematical formulation to estimate the true values of degree of possibility instead of zero. An example of conceptual design phase is discussed to illustrate the applicability and usefulness of proposed framework. In order to evaluate the performance of underlying phase in terms of knowledge creation, five criteria are selected based on the literature search and discussion with subject matter experts from strategic decision areas. After stringent analysis and exhaustive experimentation, it is found that internalisation mode highly influences the conceptual design phase.

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  • Satish Tyagi, 2016. "An improved fuzzy-AHP (IFAHP) approach to compare SECI modes," International Journal of Production Research, Taylor & Francis Journals, vol. 54(15), pages 4520-4536, August.
  • Handle: RePEc:taf:tprsxx:v:54:y:2016:i:15:p:4520-4536
    DOI: 10.1080/00207543.2015.1067378
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    References listed on IDEAS

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    1. Wang, Ying-Ming & Luo, Ying & Hua, Zhongsheng, 2008. "On the extent analysis method for fuzzy AHP and its applications," European Journal of Operational Research, Elsevier, vol. 186(2), pages 735-747, April.
    2. James S. Dyer, 1990. "Remarks on the Analytic Hierarchy Process," Management Science, INFORMS, vol. 36(3), pages 249-258, March.
    3. Ikujiro Nonaka, 1994. "A Dynamic Theory of Organizational Knowledge Creation," Organization Science, INFORMS, vol. 5(1), pages 14-37, February.
    4. Vadde, Srikanth & Zeid, Abe & Kamarthi, Sagar V., 2011. "Pricing decisions in a multi-criteria setting for product recovery facilities," Omega, Elsevier, vol. 39(2), pages 186-193, April.
    5. Meløn, Mønica García & Aragonés Beltran, Pablo & Carmen González Cruz, M., 2008. "An AHP-based evaluation procedure for Innovative Educational Projects: A face-to-face vs. computer-mediated case study," Omega, Elsevier, vol. 36(5), pages 754-765, October.
    6. Yoram Wind & Thomas L. Saaty, 1980. "Marketing Applications of the Analytic Hierarchy Process," Management Science, INFORMS, vol. 26(7), pages 641-658, July.
    7. Chang, Da-Yong, 1996. "Applications of the extent analysis method on fuzzy AHP," European Journal of Operational Research, Elsevier, vol. 95(3), pages 649-655, December.
    8. James S. Dyer, 1990. "A Clarification of "Remarks on the Analytic Hierarchy Process"," Management Science, INFORMS, vol. 36(3), pages 274-275, March.
    9. Zhu, Ke-Jun & Jing, Yu & Chang, Da-Yong, 1999. "A discussion on Extent Analysis Method and applications of fuzzy AHP," European Journal of Operational Research, Elsevier, vol. 116(2), pages 450-456, July.
    10. Barker, Theresa J. & Zabinsky, Zelda B., 2011. "A multicriteria decision making model for reverse logistics using analytical hierarchy process," Omega, Elsevier, vol. 39(5), pages 558-573, October.
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