BEHAVIOURAL SUPPLY CHAIN MANAGEMENT
Abstract
In the last 20 years, the area of supply chain management (SCM) has seen many changes in technology, operations, information systems, methods and models. However, one component has not changed. From manufacturing and services to supply chains and research and development, people remain a critical element of a system. This article is in general an overview of behavioral issues in SCM and how the behavior of people, employees and managers influences the supply chain performance. People are the critical component of the organizational system and that is essential, for improving supply chain performance, to develop models that correctly describe people’s behavior. The goal of this article is to highlight the important area of behavioral supply chain management research focused on the effects of human behavior, judgment and decision making in logistics and supply chain management. To achieve the aim set in the article, general scientific and special methods were used, in particular: analysis and synthesis, induction, deduction, abstraction and concretization, systematization, as well as elements of comparative analysis. The article examines the application of a behavioral approach to the study of SCM and existing behavioral research related to supply chain management. The origins of behavioral economics, behavioral operations, and behavioral supply chain management are analyzed. It is justified how the results of behavioral research can be relevant to phenomena related to the supply chain, and how psychological dimensions in logistics can be interesting for future findings. In addition, behavioral factors that may hinder decision-making are covered in detail. The paucity of behavioral research suggests that both logistics and SCM disciplines are following rather than leading this research direction. A practical nature of logistics and the constant human interaction in SCM instead means that these areas should be at the forefront of such research. Thus, there is great potential to realize significant benefits for practice and theory development. A deeper understanding of behavioral issues should enable firms to make better decisions and operate more efficiently based on updated and improved models, as well as to predict agents' intentions, actions and reactions more quickly and accurately.
References
Ancarani, A., Di Mauro, C., D’urso, D. A human experiment on inventory decisions under supply uncertainty. Intern. Journal of Production Economics. 2013. 142(1), 61–73. DOI: https://doi.org/10.1016/j.ijpe.2012.09.001
Ancari, A., & Di Mauro, C. (2011). Supply Chain Innovation for Competing in Highly Dynamic Markets: Challenges and Solutions. In J. Lindsay (Ed.), International Journal. HERSEY: Business Science Reference. 2011. pp. 290–292. DOI: https://doi.org/10.4018/978–1–60960–585–8.ch019
Bendoly, E., Donohue, K., L. Schultz. Behavior in operations management : Assessing recent findings and revisiting old assumptions. Journal of Operations Management. 2005. 1–16. DOI: https://doi.org/10.1016/j.jom.2005.10.001
Blos, M. F., Quaddus, M., Wee, H. M., Watanabe, K. Supply chain risk management (SCRM): a case study on the automotive and electronic industries in Brazil. Supply Chain Management: An International Journal. 2009. 14(4), 247–252. DOI: https://doi.org/10.1108/13598540910970072
Boute, R., Lambrecht, M. Altruistic Behavior in Supply Chain Management. Tijdschrift Voor Economie En Management. 2007. 52, рр. 499–513. DOI: https://doi.org/10.1017/S1470542710000024
Harland, C., Brenchley, R. Risk in supply networks. Elsevier. 2003. Available at: https://www.sciencedirect.com/science/article/pii/S1478409203000049
Katsikopoulos, K., Chain, G. G.-J. O. Behavioral operations management: A blind spot and a research program. Wiley Online Library. 2010. Available at: https://onlinelibrary.wiley.com/doi/abs/10.1111/j.1745–493x.2012.03285.x
Katsikopoulos, K. V. Behavioral Operations Management: A Blind Spot And A Research Program Gerd Gigerenzer. Max Planck Institute for Human Development. Harding Center for Risk Literacy. 2010. P. 3–7. DOI: https://doi.org/10.1111/j.1745–493x.2012.03285.x
Kersten, W., Hohrath, P., Böger, M. An Empirical Approach to Supply Chain Risk Management : Development of a Strategic Framework. Proceeding POMS Conference 2007. рр. 1–20. Available at: http://pomsmeetings.org/ConfProceedings/007/CDProgram/Topics/full_length_papers_files/007–0507.pdf
Колодізєва Т. О. Оцінка поведінкових факторів впливу на співробітництво у сфері логістичної діяльності. Economics of Development. 2019. Volume 18, Issue 3. С. 34–44.
Lawrence, M., Goodwin, P., O’connor, M., & Önkal, D. Judgmental forecasting: A review of progress over the last 25 years. International Journal of Forecasting/ 2006. 22(3), рр. 493–518. DOI: https://doi.org/10.1016/j.ijforecast.2006.03.007
Li, S., Ragu-Nathan, B., Ragu-Nathan, T. S., & Subba Rao, S. The impact of supply chain management practices on competitive advantage and organizational performance. Omega. 2006. 34(2), рр. 107–124. DOI: https://doi.org/10.1016/j.omega.2004.08.002
Матвєєв В. В., Матвєєва О. М., Щепіна Т. Г. Біхевіористичний підхід в управлінні. Бізнес Інформ. 2021. № 4. С. 257–261.
Tokar, T. Behavioural research in logistics and supply chain management. The International Journal of Logistics Management. 2010. 21(1), рр. 89–103. DOI: https://doi.org/10.1108/09574091011042197
Tuncel, G., & Alpan, G. Risk assessment and management for supply chain networks: A case study. Computers in Industry. 2009. 61(3). рр. 250–259. DOI: https://doi.org/10.1016/j.compind.2009.09.008
Аni, A., Di Mauro, C., D’urso, D. (2013). A human experiment on inventory decisions under supply uncertainty. Intern. Journal of Production Economics. 142(1), рр. 61–73. DOI: https://doi.org/10.1016/j.ijpe.2012.09.001
Ancari, A., & Di Mauro, C. (2011). Supply Chain Innovation for Competing in Highly Dynamic Markets: Challenges and Solutions. In J. Lindsay (Ed.), International Journal. HERSEY: Business Science Reference. pp. 290–292. DOI: https://doi.org/10.4018/978–1–60960–585–8.ch019
Bendoly, E., Donohue, K., L. Schultz. (2005). Behavior in operations management : Assessing recent findings and revisiting old assumptions. Journal of Operations Management. рр. 1–16. DOI: https://doi.org/10.1016/j.jom.2005.10.001
Blos, M. F., Quaddus, M., Wee, H. M., Watanabe, K. (2009). Supply chain risk management (SCRM): a case study on the automotive and electronic industries in Brazil. Supply Chain Management: An International Journal. no 14(4), рр. 247–252. DOI: https://doi.org/10.1108/13598540910970072
Boute, R., Lambrecht, M. (2007). Altruistic Behavior in Supply Chain Management. Tijdschrift Voor Economie En Management. № 52. рр. 499–513. DOI: https://doi.org/10.1017/S1470542710000024
Harland, C., Brenchley, R. (2003). Risk in supply networks. Journal of Purchasing and Supply Management. Volume 9, Issue 2, рр. 51–62 Available at: https://www.sciencedirect.com/science/article/pii/S1478409203000049
Katsikopoulos, K., Chain, G. G.-J. O.(2010). Behavioral operations management: A blind spot and a research program. Wiley Online Library. Available at: https://onlinelibrary.wiley.com/doi/abs/10.1111/j.1745–493x.2012.03285.x
Katsikopoulos, K. V. (2010). Behavioral Operations Management: A Blind Spot And A Research Program Gerd Gigerenzer. Max Planck Institute for Human Development. Harding Center for Risk Literacy. рр. 3–7. DOI: https://doi.org/10.1111/j.1745–493x.2012.03285.x
Kersten, W., Hohrath, P., Böger, M. (2007). An Empirical Approach to Supply Chain Risk Management : Development of a Strategic Framework. Proceeding POMS Conference. рр. 1–20. Available at: http://pomsmeetings.org/ConfProceedings/007/CDProgram/Topics/full_length_papers_files/007–0507.pdf
Kolodizieva T. O. (2019). Otsinka povedinkovykh faktoriv vplyvu na spivrobitnytstvo v sferi lohistychnoi diialnosti. Economics of Development. Volume 18, Issue 3. рр. 34–44.
Lawrence, M., Goodwin, P., O’connor, M., & Önkal, D. (2006). Judgmental forecasting: A review of progress over the last 25 years. International Journal of Forecasting. 22(3), рр. 493–518. DOI: https://doi.org/10.1016/j.ijforecast.2006.03.007
Li, S., Ragu-Nathan, B., Ragu-Nathan, T. S., & Subba Rao, S. (2006) The impact of supply chain management practices on competitive advantage and organizational performance. Omega. 34(2), pp. 107–124. DOI: https://doi.org/10.1016/j.omega.2004.08.002
Matvieiev V. V., Matvieieva O. M., Shchepina T. H. (2021). Bikheviorystychnyi pidkhid v upravlinni. Biznes Inform. № 4. рр. 257–261. DOI: https://doi.org/10.32983/2222–4459–2021–4–257–261
Tokar, T. (2010). Behavioural research in logistics and supply chain management. The International Journal of Logistics Management. 21(1), 89–103. DOI: https://doi.org/10.1108/09574091011042197
Tuncel, G., & Alpan, G. (2009). Risk assessment and management for supply chain networks: A case study. Computers in Industry. 61(3). pp. 250–259. DOI: https://doi.org/10.1016/j.compind.2009
This work is licensed under a Creative Commons Attribution 4.0 International License.
