Abstract
The bullwhip effect in supply chains causes mismatches between demand and production, and the emergence of digital transformation offers a potential prominent avenue for firms to address this uncertainty. This study draws on the organizational information processing theory to investigate the impact of digital transformation on the firm-level bullwhip effect and how this relationship may be contingent on customer concentration. We empirically examined our hypotheses by using hierarchical linear modeling with multiple high-dimensional fixed effects on a large panel dataset of 2,159 listed Chinese manufacturing firms (8,540 firm–year observations) from 2016 to 2020. The results show that digital transformation significantly mitigates firms’ bullwhip effect. Moreover, customer concentration weakens the negative relationship between digital transformation and the bullwhip effect. Specifically, the negative effect of digital transformation on the bullwhip effect will be stronger in firms with a diffuse customer base. The present research findings provide important theoretical contributions to the supply chain and technology management literature and offer valuable practical implications for managers to minimize the bullwhip effect.
Similar content being viewed by others
References
Aizawa, A. (2003). An information-theoretic perspective of tf–idf measures. Information Processing & Management, 39(1), 45–65. https://doi.org/10.1016/S0306-4573(02)00021-3
Akter, S., Michael, K., Uddin, M. R., McCarthy, G., & Rahman, M. (2022). Transforming business using digital innovations: The application of AI, blockchain, cloud and data analytics. Annals of Operations Research, 308, 7–3. https://doi.org/10.1007/s10479-020-03620-w
Basole, R. C., Park, H., & Chao, R. O. (2018). Visual analysis of venture similarity in entrepreneurial ecosystems. IEEE Transactions on Engineering Management, 66(4), 568–582. https://doi.org/10.1109/TEM.2018.2855435
Bensaou, M., & Venkatraman, N. (1995). Configurations of interorganizational relationships: A comparison between US and Japanese automakers. Management Science, 41(9), 1471–1492. https://doi.org/10.1287/mnsc.41.9.1471
Bhattacharya, R., & Bandyopadhyay, S. (2011). A review of the causes of bullwhip effect in a supply chain. The International Journal of Advanced Manufacturing Technology, 54(9), 1245–1261. https://doi.org/10.1007/s00170-010-2987-6
Brodeur, J., Pellerin, R., & Deschamps, I. (2022). Collaborative approach to digital transformation (CADT) model for manufacturing SMEs. Journal of Manufacturing Technology Management, 33(1), 61–83. https://doi.org/10.1108/JMTM-11-2020-0440
Cachon, G. P., Randall, T., & Schmidt, G. M. (2007). In search of the bullwhip effect. Manufacturing & Service Operations Management, 9(4), 457–479.
Cannella, S., Di Mauro, C., Dominguez, R., Ancarani, A., & Schupp, F. (2019). An exploratory study of risk aversion in supply chain dynamics via human experiment and agent-based simulation. International Journal of Production Research, 57(4), 985–999. https://doi.org/10.1080/00207543.2018.1497817
Cano-Marin, E., Mora-Cantallops, M., & Sanchez-Alonso, S. (2023). Prescriptive graph analytics on the digital transformation in healthcare through user-generated content. Annals of Operations Research, Ahead-of-Print. https://doi.org/10.1007/s10479-023-05495-z
Cao, Q., Baker, J., & Schniederjans, D. (2014). Bullwhip effect reduction and improved business performance through guanxi: An empirical study. International Journal of Production Economics, 158, 217–230.
Chan, C. M., Makino, S., & Isobe, T. (2010). Does sub-national region matter? Foreign affiliate performance in the United States and China. Strategic Management Journal, 31(11), 1226–1243.
Chen, X., Liu, C., Liu, F., & Fang, M. (2021). Firm Sustainable Growth during the COVID-19 Pandemic: The Role of Customer Concentration. Emerging Markets Finance and Trade, 57(6), 1566–1577. https://doi.org/10.1080/1540496X.2021.1904884
Correia, S. (2017). REGHDFE: Stata module to perform linear or instrumental-variable regression absorbing any number of high-dimensional fixed effects. Statistical Software Components s457874, Boston College Department of Economics. https://ideas.repec.org/c/boc/bocode/s457874.html
Cox N. (2006). WINSOR: Stata module to winsorize a variable. Chestnut Hill, MA: Boston College, Department of Economics. Retrieved from https://econpapers.repec.org/software/bocbocode/s361402.htm
Croson, R., & Donohue, K. (2006). Behavioral causes of the bullwhip effect and the observed value of Inventory Information. Management Science, 52(3), 323–336. https://doi.org/10.1287/mnsc.1050.0436
Dal Mas, F., Massaro, M., Ndou, V., & Raguseo, E. (2023). Blockchain technologies for sustainability in the agrifood sector: A literature review of academic research and business perspectives. Technological Forecasting and Social Change, 187, 122155. https://doi.org/10.1016/j.techfore.2022.122155
Di Mauro, C., Ancarani, A., Schupp, F., & Crocco, G. (2020). Risk aversion in the supply chain: Evidence from replenishment decisions. Journal of Purchasing and Supply Management, 26(4), 100646. https://doi.org/10.1016/j.pursup.2020.100646
Dominguez, R., Cannella, S., & Framinan, J. M. (2015). The impact of the supply chain structure on bullwhip effect. Applied Mathematical Modelling, 39(23), 7309–7325. https://doi.org/10.1016/j.apm.2015.03.012
Dooley, K. J., Yan, T., Mohan, S., & Gopalakrishnan, M. (2010). Inventory management and the bullwhip effect during the 2007–2009 recession: Evidence from the manufacturing sector. Journal of Supply Chain Management, 46(1), 12–18. https://doi.org/10.1111/j.1745-493X.2009.03183.x
Dubey, R., Bryde, D. J., Dwivedi, Y. K., Graham, G., & Foropon, C. (2022a). Impact of artificial intelligence-driven big data analytics culture on agility and resilience in humanitarian supply chain: A practice-based view. International Journal of Production Economics, 250, 108618.
Dubey, R., Bryde, D. J., Foropon, C., Graham, G., Giannakis, M., & Mishra, D. B. (2022b). Agility in humanitarian supply chain: An organizational information processing perspective and relational view. Annals of Operations Research, 319(1), 559–579. https://doi.org/10.1007/s10479-020-03824-0
Dubey, R., Gunasekaran, A., Childe, S. J., Bryde, D. J., Giannakis, M., Foropon, C., Roubaud, D., & Hazen, B. T. (2020). Big data analytics and artificial intelligence pathway to operational performance under the effects of entrepreneurial orientation and environmental dynamism: A study of manufacturing organisations. International Journal of Production Economics, 226, 107599. https://doi.org/10.1016/j.ijpe.2019.107599
Enrique, D. V., Lerman, L. V., de Sousa, P. R., Benitez, G. B., Santos, F. M. B. C., & Frank, A. G. (2022). Being digital and flexible to navigate the storm: How digital transformation enhances supply chain flexibility in turbulent environments. International Journal of Production Economics, 250, 108668. https://doi.org/10.1016/j.ijpe.2022.108668
Fang, M., Liu, F., & Park, K. (2022). Is inventory performance helping to improve SME credit ratings? The moderating role of supply chain concentration. Applied Economics Letters. https://doi.org/10.1080/13504851.2022.2156455
Fang, M., Liu, F., Park, K., & Xiao, S. (2023). Hedging the bet on digital transformation in strategic supply chain management: A theoretical integration and an empirical test. International Journal of Physical Distribution & Logistics Management, 53(4), 512–531. https://doi.org/10.1108/IJPDLM-12-2021-0545
Forrester, J. W. (1961). Industrial dynamics. Hoboken: Wiley.
Galbraith, J. R. (1973). Designing complex organizations. Addison-Wesley.
Giri, G., & Manohar, H. L. (2021). Factors influencing the acceptance of private and public blockchain-based collaboration among supply chain practitioners: a parallel mediation model. Supply Chain Management: An International Journal, ahead-of-print(ahead-of-print). https://doi.org/10.1108/SCM-02-2021-0057
Gupta, G., & Bose, I. (2022). Digital transformation in entrepreneurial firms through information exchange with operating environment. Information & Management, 59(3), 103243. https://doi.org/10.1016/j.im.2019.103243
Hanelt, A., Bohnsack, R., Marz, D., & Marante, C. A. (2021). A systematic review of the literature on digital transformation: Insights and implications for strategy and organizational change. Journal of Management Studies, 58(5), 1159–1197. https://doi.org/10.1111/joms.12639
Ivanov, D., & Dolgui, A. (2021). A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0. Production Planning & Control, 32(9), 775–788.
Jafari-Sadeghi, V., Mahdiraji, H. A., Alam, G. M., & Mazzoleni, A. (2023). Entrepreneurs as strategic transformation managers: Exploring micro-foundations of digital transformation in small and medium internationalisers. Journal of Business Research, 154, 113287.
Jeong, K., & Hong, J. D. (2019). The impact of information sharing on bullwhip effect reduction in a supply chain. Journal of Intelligent Manufacturing, 30, 1739–1751.
Kelepouris, T., Miliotis, P., & Pramatari, K. (2008). The impact of replenishment parameters and information sharing on the bullwhip effect: A computational study. Computers & Operations Research, 35(11), 3657–3670. https://doi.org/10.1016/j.cor.2007.04.004
Kong, D., & Shi, L. (2023). Financial constraints and political catering disclosures of non-state-owned firms: Evidence from textual analysis. Accounting & Finance, Ahead-of-Print. https://doi.org/10.1111/acfi.13107
Lee, H. L., Padmanabhan, V., & Whang, S. (1997a). The bullwhip effect in supply chains. Sloan Management Review, 38, 93–102.
Lee, H. L., Padmanabhan, V., & Whang, S. (1997b). Information distortion in a supply chain: The bullwhip effect. Management Science, 43(4), 546–558.
Lee, H. L., Padmanabhan, V., & Whang, S. (2004). Information distortion in a supply chain: The bullwhip effect. Management Science, 50(12), 1875–1886. https://doi.org/10.1287/mnsc.1040.0266
Li, H., Wu, Y., Cao, D., & Wang, Y. (2021). Organizational mindfulness towards digital transformation as a prerequisite of information processing capability to achieve market agility. Journal of Business Research, 122, 700–712.
Li, L. (2022). Digital transformation and sustainable performance: The moderating role of market turbulence. Industrial Marketing Management, 104, 28–37.
Liang, J., Yang, S., Huang, X., & Zhu, J. (2022). Forward or backward: The Impact of Vertical Integration Direction on the bullwhip effect. International Journal of Production Research, 60(22), 6923–6944.
Lin, Y., Fan, D., Shi, X., & Fu, M. (2021). The effects of supply chain diversification during the COVID-19 crisis: Evidence from Chinese manufacturers. Transportation Research Part E: Logistics and Transportation Review, 155, 102493. https://doi.org/10.1016/j.tre.2021.102493
Liu, F., Fang, M., Park, K., & Chen, X. (2021). Supply chain finance, performance, and risk: How SMEs adjust their buyer-supplier relationship for competitiveness? Journal of Competitiveness, 13(4), 78–95.
Liu, F., Kim, B. C., & Park, K. (2022). Supplier-base concentration as a moderating variable in the non-linear relationship between R&D and firm value. Asian Journal of Technology Innovation, 30(2), 342–363. https://doi.org/10.1080/19761597.2020.1853576
Liu, F., Liu, C., Wang, X., Park, K., & Fang, M. (2023). Keep concentrated and carry on: Redesigning supply chain concentration in the face of COVID-19. International Journal of Logistics Research and Applications, Ahead-of-Print. https://doi.org/10.1080/13675567.2023.2175803
Liu, F., & Park, K. (2021). Managing firm risk through supply chain dependence: An SME perspective. Journal of Business & Industrial Marketing, 36(12), 2231–2242. https://doi.org/10.1108/JBIM-05-2019-0229
Ma, X., Wang, W., Wu, J., & Zhang, W. (2020). Corporate customer concentration and stock price crash risk. Journal of Banking & Finance, 119, 105903. https://doi.org/10.1016/j.jbankfin.2020.105903
Mai, F., Tian, S., Lee, C., & Ma, L. (2019). Deep learning models for bankruptcy prediction using textual disclosures. European Journal of Operational Research, 274(2), 743–758. https://doi.org/10.1016/j.ejor.2018.10.024
Mukucha, P., & Charl, G. (2023). The moderating role of vendor managed inventory on the bullwhip effect in the COVID-19 pandemic. Cogent Business & Management, 10(1), 2158604.
Narayanan, A., & Moritz, B. B. (2015). Decision making and cognition in multi-echelon supply chains: An experimental study. Production and Operations Management, 24(8), 1216–1234. https://doi.org/10.1111/poms.12343
Neumayer, E., & Plümper, T. (2017). The logic of robustness testing robustness tests for quantitative research (pp. 11–22). Cambridge: Cambridge University Press.
Patatoukas, P. N. (2012). Customer-Base Concentration: Implications for Firm Performance and Capital Markets: 2011 American Accounting Association Competitive Manuscript Award Winner. The Accounting Review, 87(2), 363–392. https://doi.org/10.2308/accr-10198
Peng, D. X., Heim, G. R., & Mallick, D. N. (2014). Collaborative product development: The effect of project complexity on the use of information technology tools and new product development practices. Production and Operations Management, 23(8), 1421–1438. https://doi.org/10.1111/j.1937-5956.2012.01383.x
Ponte, B., Framinan, J. M., Cannella, S., & Dominguez, R. (2020). Quantifying the bullwhip effect in closed-loop supply chains: The interplay of information transparencies, return rates, and lead times. International Journal of Production Economics, 230, 107798.
Saboo, A. R., Kumar, V., & Anand, A. (2017). Assessing the impact of customer concentration on initial public offering and balance sheet–based outcomes. Journal of Marketing, 81(6), 42–61. https://doi.org/10.1509/jm.16.0457
Scarpin, M. R. S., Scarpin, J. E., Krespi Musial, N. T., & Nakamura, W. T. (2022). The implications of COVID-19: Bullwhip and ripple effects in global supply chains. International Journal of Production Economics, 251, 108523. https://doi.org/10.1016/j.ijpe.2022.108523
Senyo, P. K., Liu, K., & Effah, J. (2019). Digital business ecosystem: Literature review and a framework for future research. International Journal of Information Management, 47, 52–64. https://doi.org/10.1016/j.ijinfomgt.2019.01.002
Shan, J., Yang, S., Yang, S., & Zhang, J. (2014). An empirical study of the bullwhip effect in China. Production and Operations Management, 23(4), 537–551. https://doi.org/10.1111/poms.12034
Shen, R., Tang, Y., & Chen, G. (2014). When the role fits: How firm status differentials affect corporate takeovers. Strategic Management Journal, 35(13), 2012–2030. https://doi.org/10.1002/smj.2194
Simchi-Levi, D., Kaminsky, P., & Simchi-Levi, E. (2000). Designing and managing the supply chain: Concepts, strategies, and case studies. New York: McGraw-Hill.
Srinivasan, R., & Swink, M. (2015). Leveraging supply chain integration through planning comprehensiveness: An organizational information processing theory perspective. Decision Sciences, 46(5), 823–861. https://doi.org/10.1111/deci.12166
Srinivasan, R., & Swink, M. (2018). An investigation of visibility and flexibility as complements to supply chain analytics: An organizational information processing theory perspective. Production and Operations Management, 27(10), 1849–1867. https://doi.org/10.1111/poms.12746
Tabrizi, B., Lam, E., Girard, K., & Irvin, V. (2019). Digital transformation is not about technology. Harvard Business Review, 13, 1–6.
Tian, M., Chen, Y., Tian, G., Huang, W., & Hu, C. (2023). The role of digital transformation practices in the operations improvement in manufacturing fi-rms: A practice-based view. International Journal of Production Economics, 262, 108929. https://doi.org/10.1016/j.ijpe.2023.108929
Udenio, M., Fransoo, J. C., & Peels, R. (2015). Destocking, the bullwhip effect, and the credit crisis: Empirical modeling of supply chain dynamics. International Journal of Production Economics, 160, 34–46. https://doi.org/10.1016/j.ijpe.2014.09.008
Verhoef, P. C., Broekhuizen, T., Bart, Y., Bhattacharya, A., Qi Dong, J., Fabian, N., & Haenlein, M. (2021). Digital transformation: A multidisciplinary reflection and research agenda. Journal of Business Research, 122, 889–901. https://doi.org/10.1016/j.jbusres.2019.09.022
Vial, G. (2019). Understanding digital transformation: A review and a research agenda. The Journal of Strategic Information Systems, 28(2), 118–144. https://doi.org/10.1016/j.jsis.2019.01.003
Wang, M., Yu, Y., & Liu, F. (2023). Does digital transformation curb the formation of zombie firms? A machine learning approach. Technology Analysis & Strategic Management, Ahead-of-Print. https://doi.org/10.1080/09537325.2023.2296007
Wang, X., & Disney, S. M. (2016). The bullwhip effect: Progress, trends and directions. European Journal of Operational Research, 250(3), 691–701. https://doi.org/10.1016/j.ejor.2015.07.022
Westerman, G., Bonnet, D. McAfee, A. (2014). The nine elements of digital transformation. MIT Sloan Management Review, 55, 1–6. https://sloanreview.mit.edu/article/the-nine-elements-of-digital-transformation/
Wong, C. Y., Wong, C. W. Y., & Boon-itt, S. (2020). Effects of green supply chain integration and green innovation on environmental and cost performance. International Journal of Production Research, 58(15), 4589–4609.
Wu, F., Yeniyurt, S., Kim, D., & Cavusgil, S. T. (2006). The impact of information technology on supply chain capabilities and firm performance: A resource-based view. Industrial Marketing Management, 35(4), 493–504.
Xiao, S. S., Lew, Y. K., & Il Park, B. (2019). ‘2R-based view’on the internationalization of service MNEs from emerging economies: Evidence from China. Management International Review, 59, 643–673. https://doi.org/10.1007/s11575-019-00391-w
Yang, Y., Lin, J., Liu, G., & Zhou, L. (2021). The behavioural causes of bullwhip effect in supply chains systematic literature review. International Journal of Production Economics, 236, 108120. https://doi.org/10.1016/j.ijpe.2021.108120
Yu, W., Chavez, R., Jacobs, M., Wong, C. Y., & Yuan, C. (2019). Environmental scanning, supply chain integration, responsiveness, and operational performance. International Journal of Operations & Production Management, 39(5), 787–814. https://doi.org/10.1108/IJOPM-07-2018-0395
Zhang, Y., Huo, B., Haney, M. H., & Kang, M. (2022). The effect of buyer digital capability advantage on supplier unethical behaviour: A moderated mediation model of relationship transparency and relational capital. International Journal of Production Economics, 253, 108603. https://doi.org/10.1016/j.ijpe.2022.108603
Zhao, R., Mashruwala, R., Pandit, S., & Balakrishnan, J. (2019). Supply chain relational capital and the bullwhip effect. International Journal of Operations & Production Management, 39(5), 658–689. https://doi.org/10.1108/IJOPM-03-2018-0186
Zhong, X., & Ren, G. (2023). Independent and joint effects of CSR and CSI on the effectiveness of digital transformation for transition economy firms. Journal of Business Research, 156, 113478. https://doi.org/10.1016/j.jbusres.2022.113478
Zhu, M., Yeung, A. C. L., & Zhou, H. (2021). Diversify or concentrate: The impact of customer concentration on corporate social responsibility. International Journal of Production Economics, 240, 108214. https://doi.org/10.1016/j.ijpe.2021.108214
Acknowledgements
This study was supported by the Humanities and Social Sciences Foundation of the Ministry of Education of China (Grant No. 21YJC630076). We gratefully acknowledge the insightful suggestions from the editors and the anonymous reviewers, which improved this article. We would also like to thank Zhilin Fan and Jing Luo for their research assistance, as well as other members of Star-lights Research Team for their comments on earlier versions of the manuscript.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
The authors declare no conflict of interest.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Liu, F., Fang, M., Xiao, S. et al. Mitigating bullwhip effect in supply chains by engaging in digital transformation: the moderating role of customer concentration. Ann Oper Res (2024). https://doi.org/10.1007/s10479-024-05908-7
Received:
Accepted:
Published:
DOI: https://doi.org/10.1007/s10479-024-05908-7