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Kiszervezési stratégiák és tanulási hatás a félvezetőiparban
[Outsourcing strategies and the learning effect in the semiconductor industry]

Author

Listed:
  • Vasvári, Tamás
  • Hauck, Zsuzsanna
  • Longauer, Dóra

Abstract

A termelés kiszervezése, más országokba áthelyezése számos iparág sajátossága, aminek hátterében többnyire költségoptimalizálási megfontolások állnak. A saját termelés mellett szóló egyik legfőbb érv a tanulási hatásból eredő haszon. A vállalati tanulás azonban lassú folyamat, így a gyártás kiszervezéséből származó rövid távú előnyök felülírhatják a termelékenységi tudás felhalmozódásának hosszú távú hasznait. A félvezetőipar - mindamellett, hogy saját gyártáson és kiszervezésen alapuló modellekre egyaránt nyújt példát - kulcsfontosságú szerepre tett szert a koronavírus-járvány kitörése óta, mivel a csiphiány számos ágazatban lelassította vagy akár meg is bénította a termelést. Tanulmányunkban egy vállalat kiszervezési döntését modellezzük a félvezetőiparban, figyelembe véve a tanulási hatás és az ellátási ellenálló képesség (reziliencia) gazdasági hatásait. Numerikus szimulációk segítségével mutatjuk be az iparág világjárvány előtti és utáni helyzetét: míg a járvány kitörése előtt a kiszervezés volt az optimális stratégia, azóta megnőtt a saját gyártás jelentősége. A jelenlegi optimális stratégiák stabilitását ugyanakkor nagyban befolyásolják a külső körülmények - például a relatív gyártási költségek vagy a csiphiány jelentette gazdasági hatások -, amelyek támpontul szolgálhatnak a félvezetőiparral kapcsolatos iparpolitikai megfontolásokhoz.* Journal of Economic Literature (JEL) kód: L11, L63, M11.

Suggested Citation

  • Vasvári, Tamás & Hauck, Zsuzsanna & Longauer, Dóra, 2024. "Kiszervezési stratégiák és tanulási hatás a félvezetőiparban [Outsourcing strategies and the learning effect in the semiconductor industry]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(2), pages 176-200.
    • Handle: RePEc:ksa:szemle:2168
    DOI: 10.18414/KSZ.2024.2.176
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    References listed on IDEAS

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    1. Wenli Xiao & Cheryl Gaimon, 2013. "The Effect of Learning and Integration Investment on Manufacturing Outsourcing Decisions: A Game Theoretic Approach," Production and Operations Management, Production and Operations Management Society, vol. 22(6), pages 1576-1592, November.
    2. Ronald S. Jarmin, 1994. "Learning by Doing and Competition in the Early Rayon Industry," RAND Journal of Economics, The RAND Corporation, vol. 25(3), pages 441-454, Autumn.
    3. Lars Mönch & Reha Uzsoy & John W. Fowler, 2018. "A survey of semiconductor supply chain models part III: master planning, production planning, and demand fulfilment," International Journal of Production Research, Taylor & Francis Journals, vol. 56(13), pages 4565-4584, July.
    4. Sijing Deng & Xu Guan & Jiayan Xu, 2021. "The coopetition effect of learning-by-doing in outsourcing," International Journal of Production Research, Taylor & Francis Journals, vol. 59(2), pages 516-541, January.
    5. Mazzola, Erica & Bruccoleri, Manfredi & Perrone, Giovanni, 2019. "The curvilinear effect of manufacturing outsourcing and captive-offshoring on firms' innovation: The role of temporal endurance," International Journal of Production Economics, Elsevier, vol. 211(C), pages 197-210.
    6. Irwin, Douglas A & Klenow, Peter J, 1994. "Learning-by-Doing Spillovers in the Semiconductor Industry," Journal of Political Economy, University of Chicago Press, vol. 102(6), pages 1200-1227, December.
    7. Reha Uzsoy & John W. Fowler & Lars Mönch, 2018. "A survey of semiconductor supply chain models Part II: demand planning, inventory management, and capacity planning," International Journal of Production Research, Taylor & Francis Journals, vol. 56(13), pages 4546-4564, July.
    8. A J Scott & D P Angel, 1987. "The US Semiconductor Industry: A Locational Analysis," Environment and Planning A, , vol. 19(7), pages 875-912, July.
    9. Bao-Guang Chang & Kun-Shan Wu, 2021. "The nonlinear relationship between financial flexibility and enterprise risk-taking during the COVID-19 pandemic in Taiwan’s semiconductor industry," Oeconomia Copernicana, Institute of Economic Research, vol. 12(2), pages 307-333, June.
    10. Ramani, Vinay & Ghosh, Debabrata & Sodhi, ManMohan S., 2022. "Understanding systemic disruption from the Covid-19-induced semiconductor shortage for the auto industry," Omega, Elsevier, vol. 113(C).
    11. Danial Asmat, 2021. "Collusion Along the Learning Curve: Theory and Evidence From the Semiconductor Industry," Journal of Industrial Economics, Wiley Blackwell, vol. 69(1), pages 83-108, March.
    12. Vasvári, Tamás & Danka, Sándor & Hauck, Zsuzsanna, 2019. "Termelés és innováció - tanulságok a hazai iparpolitika számára [Manufacturing and innovation - lessons for Hungarian industry policy]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(10), pages 1031-1055.
    13. Lars Mönch & Reha Uzsoy & John W. Fowler, 2018. "A survey of semiconductor supply chain models part I: semiconductor supply chains, strategic network design, and supply chain simulation," International Journal of Production Research, Taylor & Francis Journals, vol. 56(13), pages 4524-4545, July.
    14. Dick, Andrew R, 1991. "Learning by Doing and Dumping in the Semiconductor Industry," Journal of Law and Economics, University of Chicago Press, vol. 34(1), pages 133-159, April.
    15. Aubry, Mathilde & Renou-Maissant, Patricia, 2014. "Semiconductor industry cycles: Explanatory factors and forecasting," Economic Modelling, Elsevier, vol. 39(C), pages 221-231.
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    More about this item

    JEL classification:

    • L11 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Production, Pricing, and Market Structure; Size Distribution of Firms
    • L63 - Industrial Organization - - Industry Studies: Manufacturing - - - Microelectronics; Computers; Communications Equipment
    • M11 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Production Management

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