IDEAS home Printed from https://ideas.repec.org/a/spr/annopr/v308y2022i1d10.1007_s10479-020-03697-3.html
   My bibliography  Save this article

A comparative analysis of machine learning techniques and fuzzy analytic hierarchy process to determine the tacit knowledge criteria

Author

Listed:
  • Ibrahim Yazici

    (Istanbul Technical University)

  • Omer Faruk Beyca

    (Istanbul Technical University)

  • Omer Faruk Gurcan

    (Istanbul Technical University)

  • Halil Zaim

    (Business Administration, American University of the Middle East)

  • Dursun Delen

    (Oklahoma State University)

  • Selim Zaim

    (Istanbul Sabahattin Zaim University)

Abstract

Knowledge management is widely considered as a strategic tool to increase firm performance by enabling the reuse of organizational knowledge. Although many have studied knowledge management in a variety of business settings, the concept of tacit knowledge, especially the individual one, has not been explored in due detail. The objective of this study is to identify and prioritize individual tacit knowledge criteria and to explain their effects on firm performance. In the proposed methodology, first, the most prevalent individual tacit knowledge variables are identified by means of knowledge elicitation and feature selection methods. Then, the extracted variables were prioritized using machine learning methods and fuzzy Analytic Hierarchy Process (AHP). Support vector machine (SVM), logistic regression, and artificial neural networks are used as the first approach, followed by fuzzy AHP as the second approach. Based on the comparative analysis results, SVM (as the best-performed machine-learning technique) and fuzzy AHP methods were identified for the subsequent analysis. The results showed that both SVM and fuzzy AHP determined time efficiency of employees, communication between employees and supervisors, and innovative capability of employees as the most important tacit knowledge criteria. These findings are mostly supported by the extant literature, and collectively shows the synergistic nature of the utilized analytics approaches in determining individual tacit knowledge criteria.

Suggested Citation

  • Ibrahim Yazici & Omer Faruk Beyca & Omer Faruk Gurcan & Halil Zaim & Dursun Delen & Selim Zaim, 2022. "A comparative analysis of machine learning techniques and fuzzy analytic hierarchy process to determine the tacit knowledge criteria," Annals of Operations Research, Springer, vol. 308(1), pages 753-776, January.
    • Handle: RePEc:spr:annopr:v:308:y:2022:i:1:d:10.1007_s10479-020-03697-3
    DOI: 10.1007/s10479-020-03697-3
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10479-020-03697-3
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10479-020-03697-3?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. Romel Mostafa & Steven Klepper, 2018. "Industrial Development Through Tacit Knowledge Seeding: Evidence from the Bangladesh Garment Industry," Management Science, INFORMS, vol. 64(2), pages 613-632, February.
    2. Armstrong, J. Scott & Overton, Terry S., 1977. "Estimating Nonresponse Bias in Mail Surveys," MPRA Paper 81694, University Library of Munich, Germany.
    3. Park, Chansoo & Vertinsky, Ilan & Becerra, Manuel, 2015. "Transfers of tacit vs. explicit knowledge and performance in international joint ventures: The role of age," International Business Review, Elsevier, vol. 24(1), pages 89-101.
    4. Heo, Eunnyeong & Kim, Jinsoo & Boo, Kyung-Jin, 2010. "Analysis of the assessment factors for renewable energy dissemination program evaluation using fuzzy AHP," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(8), pages 2214-2220, October.
    5. Ikujiro Nonaka, 1994. "A Dynamic Theory of Organizational Knowledge Creation," Organization Science, INFORMS, vol. 5(1), pages 14-37, February.
    6. Mohajan, Haradhan, 2017. "Tacit Knowledge for the Development of Organizations," MPRA Paper 83040, University Library of Munich, Germany, revised 14 Mar 2017.
    7. Choudhary, Devendra & Shankar, Ravi, 2012. "An STEEP-fuzzy AHP-TOPSIS framework for evaluation and selection of thermal power plant location: A case study from India," Energy, Elsevier, vol. 42(1), pages 510-521.
    8. Koskinen, Kaj U. & Vanharanta, Hannu, 2002. "The role of tacit knowledge in innovation processes of small technology companies," International Journal of Production Economics, Elsevier, vol. 80(1), pages 57-64, November.
    9. Thuc Anh, Phan Thi & Christopher Baughn, C. & Minh Hang, Ngo Thi & Neupert, Kent E., 2006. "Knowledge acquisition from foreign parents in international joint ventures: An empirical study in Vietnam," International Business Review, Elsevier, vol. 15(5), pages 463-487, October.
    10. Birger Wernerfelt, 1984. "A resource‐based view of the firm," Strategic Management Journal, Wiley Blackwell, vol. 5(2), pages 171-180, April.
    11. Linda Argote & Ella Miron-Spektor, 2011. "Organizational Learning: From Experience to Knowledge," Organization Science, INFORMS, vol. 22(5), pages 1123-1137, October.
    12. Marianna Sigala & Kalotina Chalkiti, 2007. "Improving performance through tacit knowledge externalisation and utilisation," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 56(5/6), pages 456-483, June.
    13. Arnett, Dennis B. & Wittmann, C. Michael, 2014. "Improving marketing success: The role of tacit knowledge exchange between sales and marketing," Journal of Business Research, Elsevier, vol. 67(3), pages 324-331.
    14. Somsuk, Nisakorn & Laosirihongthong, Tritos, 2014. "A fuzzy AHP to prioritize enabling factors for strategic management of university business incubators: Resource-based view," Technological Forecasting and Social Change, Elsevier, vol. 85(C), pages 198-210.
    15. Nile W. Hatch & Jeffrey H. Dyer, 2004. "Human capital and learning as a source of sustainable competitive advantage," Strategic Management Journal, Wiley Blackwell, vol. 25(12), pages 1155-1178, December.
    Full references (including those not matched with items on IDEAS)

    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. Bauer, Florian & King, David & Matzler, Kurt, 2016. "Speed of acquisition integration: Separating the role of human and task integration," Scandinavian Journal of Management, Elsevier, vol. 32(3), pages 150-165.
    2. Soetanto, Danny & van Geenhuizen, Marina, 2019. "Life after incubation: The impact of entrepreneurial universities on the long-term performance of their spin-offs," Technological Forecasting and Social Change, Elsevier, vol. 141(C), pages 263-276.
    3. Jonathan R. Clark & Robert S. Huckman & Bradley R. Staats, 2013. "Learning from Customers: Individual and Organizational Effects in Outsourced Radiological Services," Organization Science, INFORMS, vol. 24(5), pages 1539-1557, October.
    4. Chila, Vilma, 2021. "Knowledge dynamics in employee entrepreneurship : Implications for parents and offspring," Other publications TiSEM a1f5d18c-783b-4af6-8414-6, Tilburg University, School of Economics and Management.
    5. Park, Chansoo & Ghauri, Pervez N. & Lee, Jeoung Yul & Golmohammadi, Ismael, 2022. "Unveiling the black box of IJV innovativeness: The role of explicit and tacit knowledge transfer," Journal of International Management, Elsevier, vol. 28(4).
    6. Onexy Quintana-Martinez & Antonio-Rafael Ramos-Rodriguez, 2016. "Changes in the Axes of Convergence of Innovation Management Research," International Journal of Business and Management, Canadian Center of Science and Education, vol. 11(5), pages 1-96, April.
    7. Philip Hallinger, 2021. "A Meta-Synthesis of Bibliometric Reviews of Research on Managing for Sustainability, 1982–2019," Sustainability, MDPI, vol. 13(6), pages 1-22, March.
    8. Jonathan H. Reed, 2022. "Operational and strategic change during temporary turbulence: evidence from the COVID-19 pandemic," Operations Management Research, Springer, vol. 15(1), pages 589-608, June.
    9. Nils Grashof, 2020. "Sinking or swimming in the cluster labour pool? A firm-specific analysis of the effect of specialized labour," Jena Economics Research Papers 2020-006, Friedrich-Schiller-University Jena.
    10. David Grosse Kathoefer & Jens Leker, 2012. "Knowledge transfer in academia: an exploratory study on the Not-Invented-Here Syndrome," The Journal of Technology Transfer, Springer, vol. 37(5), pages 658-675, October.
    11. Stephan Gerschewski & Yong Kyu Lew & Zaheer Khan & Byung Il Park, 2018. "Post-Entry Performance of International New Ventures: The Mediating Role of Learning Orientation," John H Dunning Centre for International Business Discussion Papers jhd-dp2018-06, Henley Business School, University of Reading.
    12. Kawai, Norifumi & Chung, Chul, 2019. "Expatriate utilization, subsidiary knowledge creation and performance: The moderating role of subsidiary strategic context," Journal of World Business, Elsevier, vol. 54(1), pages 24-36.
    13. María José Sanzo & Luis Ignacio Álvarez & Marta Rey, 2017. "Lights and Shadows of Business-Nonprofit Partnerships: The Role of Nonprofit Learning and Empowerment in this Ethical Puzzle," Sustainability, MDPI, vol. 9(8), pages 1-21, August.
    14. Partanen, Jukka & Kohtamäki, Marko & Patel, Pankaj C. & Parida, Vinit, 2020. "Supply chain ambidexterity and manufacturing SME performance: The moderating roles of network capability and strategic information flow," International Journal of Production Economics, Elsevier, vol. 221(C).
    15. Mohajan, Haradhan, 2016. "Sharing of Tacit Knowledge in Organizations: A Review," MPRA Paper 82958, University Library of Munich, Germany, revised 15 Jun 2016.
    16. Judith Cavazos-Arroyo & Rogelio Puente-Diaz, 2019. "The Influence of Marketing Capability in Mexican Social Enterprises," Sustainability, MDPI, vol. 11(17), pages 1-15, August.
    17. Deveci, Muhammet & Cali, Umit & Kucuksari, Sadik & Erdogan, Nuh, 2020. "Interval type-2 fuzzy sets based multi-criteria decision-making model for offshore wind farm development in Ireland," Energy, Elsevier, vol. 198(C).
    18. Michael Sheppard, 2020. "The relationship between discretionary slack and growth in small firms," International Entrepreneurship and Management Journal, Springer, vol. 16(1), pages 195-219, March.
    19. Peters, Matt D. & Wieder, Bernhard & Sutton, Steve G. & Wakefield, James, 2016. "Business intelligence systems use in performance measurement capabilities: Implications for enhanced competitive advantage," International Journal of Accounting Information Systems, Elsevier, vol. 21(C), pages 1-17.
    20. Hadjielias, Elias & Christofi, Michael & Tarba, Shlomo, 2021. "Knowledge hiding and knowledge sharing in small family farms: A stewardship view," Journal of Business Research, Elsevier, vol. 137(C), pages 279-292.

    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:spr:annopr:v:308:y:2022:i:1:d:10.1007_s10479-020-03697-3. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.