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A study on policy measure for knowledge-based management in ICT companies: focused on appropriability mechanisms

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  • Seong-Taek Park

    (SungKyunKwan University)

  • Jae-Rim Jung

    (Namseoul University)

  • Chang Liu

    (Taishan University)

Abstract

This study investigated the status of appropriability mechanisms and relevant policy measures as an option to secure the returns on R&D investment, which businesses employ to create new knowledge and competitiveness for knowledge-based management. Also, it conducted the AHP analysis of responses from a range of ICT-related experts surveyed. Moreover, to explore the dynamic structure of appropriability mechanisms from a holistic dynamic perspective, this study drew up a causal loop diagram (CLD) about system dynamics methodology. System dynamics is an approach to realistically modeling a series of causalities and analytically simulating their dynamic variation. System dynamics incorporates those causalities into a cognitive map, plots the status and change of variables on a stock-flow diagram, and applies historical data to derive realistic coefficients. Also, system dynamics has an advantage of drawing up scenarios in line with changing external environment factors or top management’s strategic orientation and simulating scenario-specific outcomes. Finally, to compare the combined options in terms of the effects of different scenarios on the growth of appropriability over time, a simulation model was developed based on the CLD and AHP analysis results. This paper derived some policy implications for knowledge-based management from the analytic simulation based on different scenarios and suggested responsive measures.

Suggested Citation

  • Seong-Taek Park & Jae-Rim Jung & Chang Liu, 2020. "A study on policy measure for knowledge-based management in ICT companies: focused on appropriability mechanisms," Information Technology and Management, Springer, vol. 21(1), pages 1-13, March.
    • Handle: RePEc:spr:infotm:v:21:y:2020:i:1:d:10.1007_s10799-019-00298-w
    DOI: 10.1007/s10799-019-00298-w
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    References listed on IDEAS

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    1. Yue Zhang & Shukuan Zhao & Xiaobo Xu, 2016. "Business model innovation: an integrated approach based on elements and functions," Information Technology and Management, Springer, vol. 17(3), pages 303-310, September.
    2. Harabi, Najib, 1995. "Appropriability of technical innovations an empirical analysis," Research Policy, Elsevier, vol. 24(6), pages 981-992, November.
    3. Shukuan Zhao & Yu Sun & Xiaobo Xu, 2016. "Research on open innovation performance: a review," Information Technology and Management, Springer, vol. 17(3), pages 279-287, September.
    4. Arundel, Anthony, 2001. "The relative effectiveness of patents and secrecy for appropriation," Research Policy, Elsevier, vol. 30(4), pages 611-624, April.
    5. Wesley M. Cohen & Richard R. Nelson & John P. Walsh, 2000. "Protecting Their Intellectual Assets: Appropriability Conditions and Why U.S. Manufacturing Firms Patent (or Not)," NBER Working Papers 7552, National Bureau of Economic Research, Inc.
    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. Katrin Hussinger, 2006. "Is Silence Golden? Patents Versus Secrecy At The Firm Level," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 15(8), pages 735-752.
    8. Richard C. Levin & Alvin K. Klevorick & Richard R. Nelson & Sidney G. Winter, 1987. "Appropriating the Returns from Industrial Research and Development," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 18(3, Specia), pages 783-832.
    9. Hong Jiang & Shukuan Zhao & Chang Liu & Yong Chen, 2016. "The role, formation mechanism, and dynamic mechanism of action of technology standards in industrial systems," Information Technology and Management, Springer, vol. 17(3), pages 289-302, September.
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    Cited by:

    1. Hector John T. Manaligod & Michael Joseph S. Diño & Sunmoon Jo & Roy C. Park, 0. "Knowledge discovery computing for management," Information Technology and Management, Springer, vol. 0, pages 1-2.
    2. Yang, Jialei & Hurmelinna-Laukkanen, Pia, 2022. "Evolving appropriability – Variation in the relevance of appropriability mechanisms across industries," Technovation, Elsevier, vol. 118(C).
    3. Hector John T. Manaligod & Michael Joseph S. Diño & Sunmoon Jo & Roy C. Park, 2020. "Knowledge discovery computing for management," Information Technology and Management, Springer, vol. 21(2), pages 61-62, June.
    4. Mohammed Musa Bayero, 2023. "IT Infrastructure, Knowledge Management and Firm Competitiveness: Exploring Mediating Role of IT Outsourcing in Nigeria," International Journal of Global Business and Competitiveness, Springer, vol. 18(1), pages 43-58, June.

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