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The Impact of Budget Constraints on Flexible vs. Dedicated Technology Choice

Author

Listed:
  • Onur Boyabatlı

    (Lee Kong Chian School of Business, Singapore Management University, Singapore 178899)

  • Tiecheng Leng

    (Lingnan College, Sun Yat-sen University, Guangzhou 510275, China)

  • L. Beril Toktay

    (Scheller College of Business, Georgia Institute of Technology, Atlanta, Georgia 30308)

Abstract
This paper studies the flexible versus dedicated technology choice and capacity investment decisions of a multiproduct firm under demand uncertainty in the presence of budget constraints. The firm operates under a capital budget for financing the capacity investment, and an operating budget, which is uncertain in the capacity investment stage, for financing the production. We investigate how the tightening of the capital budget and a lower financial flexibility in the production stage (the likelihood of having a sufficient operating budget) shape the optimal technology choice. We find that the dominant regime is one where dedicated technology should be adopted for a larger investment cost range, and thus, is the best response to the tighter capital budget, whereas flexible technology is the best response to lower financial flexibility. We identify the key roles that the capacity intensity (the ratio of unit capacity cost to total unit capacity and production cost) of each technology and the pooling value of operating budget with dedicated technology, which brings this technology closer to flexible technology in terms of the resource network’s flexibility, play in a budget-constrained environment. Managerially, our results underline that in the presence of financial constraints, firms should manage technology adoption together with plant location, which shapes capacity intensity, or product portfolio, which shapes financial flexibility. This paper was accepted by Serguei Netessine, operations management .

Suggested Citation

  • Onur Boyabatlı & Tiecheng Leng & L. Beril Toktay, 2016. "The Impact of Budget Constraints on Flexible vs. Dedicated Technology Choice," Management Science, INFORMS, vol. 62(1), pages 225-244, January.
    • Handle: RePEc:inm:ormnsc:v:62:y:2016:i:1:p:225-244
    DOI: 10.1287/mnsc.2014.2093
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    References listed on IDEAS

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    4. Yang, Liu & Ng, Chi To & Cheng, T.C.E. & Sun, Mingyao & Shao, Xuefeng & Li, Ruiqing, 2024. "Competition under demand uncertainty: The roles of technology and capacity strategy," European Journal of Operational Research, Elsevier, vol. 317(1), pages 185-204.
    5. Mahito Okura, 2021. "Cournot competition in the joint products market under demand uncertainty," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(5), pages 1105-1116, July.
    6. Juzhi Zhang & Tsan‐Ming Choi & T. C. E. Cheng, 2020. "Stochastic production capacity: A bane or a boon for quick response supply chains?," Naval Research Logistics (NRL), John Wiley & Sons, vol. 67(2), pages 126-146, March.
    7. Oded Berman & Mohammad M. Fazel-Zarandi & Dmitry Krass, 2019. "Truthful Cheap Talk: Why Operational Flexibility May Lead to Truthful Communication," Management Science, INFORMS, vol. 65(4), pages 1624-1641, April.
    8. Yuanyue Wang & Zhaohui Yu & Xiaojing Yi, 2022. "Financing liabilities and inefficient investment of listed companies: Based on the adjustment effect of different financial structures," Australian Economic Papers, Wiley Blackwell, vol. 61(4), pages 848-875, December.
    9. Wei Zhang & Hsiao-Hui Lee, 2022. "Investment Strategies for Sourcing a New Technology in the Presence of a Mature Technology," Management Science, INFORMS, vol. 68(6), pages 4631-4644, June.
    10. Gong, Qiguo & Chen, Guohui & Zhang, Wen & Wang, Hui, 2022. "The role of humans in flexible smart factories," International Journal of Production Economics, Elsevier, vol. 254(C).
    11. J. Prince Vijai, 2021. "Production network, technology choice, capacity investment and inventory sourcing decisions: operational hedging under demand uncertainty," OPSEARCH, Springer;Operational Research Society of India, vol. 58(4), pages 1164-1191, December.
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