Studying the human barriers to swift trust in the humanitarian supply chain

Document Type : Original Article

Authors

1 Assistant Professor, Department of Industrial Management, University of Mazandaran, Babolsar, Iran

2 Assistant Professor Department of Industrial Management, Faculty of Business and Economics, Persian Gulf University, Bushehr, Iran

10.22080/shrm.2022.3825

Abstract

In a hastily formed network (HFN) building “swift trust” for providing a good atmosphere of collaboration and coordination among involved actors for serving beneficiaries and affected people is vital. The main goal of this research is to study the human barriers to the formation of swift trust in the humanitarian supply chain (HSC) or crisis response network in recent earthquakes (1390-1399). This research is descriptive in terms of objective and analytical-mathematical according to the research method. For identifying human barriers to swift trust a comprehensive literature review was conducted and then with the aid of experts’ panel human barriers were reworded and finalized. Seven persons with relevant expertise and experience in the recent earthquakes participated in this study. Findings show that “uncertainty related to the unclear role of humanitarians and local volunteers” is the most important human barrier to the formation of swift trust. The second barrier is the “inexact and late announcement of information related with the deliverables from government”. The findings provide useful insights for humanitarian policymakers and senior disaster managers for creating initial and long-term trust among involved actors.

Keywords

References

Aboutorab, H., Saberi, M., Asadabadi, M. R., Hussain, O., & Chang, E. (2018). ZBWM: The Z-number extension of Best Worst Method and its application for supplier development. Expert Systems with Applications, 107, 115-125.
Altay, N., & Green, W. G. (2006). OR/MS research in disaster operations management. European Journal of Operational Research, 175(1), 475–493.
Bakhtiari, H (2021) ;Investigating the Effect of Information Sharing and Behavioral Uncertainty on Humanitarian Supply Chain Coordination through the Formation of Swift Trust and Commitment (Case study: Isfahan Red Crescent); M.Sc./M.A. Thesis Industrial management, production and Operations Orientation; Ashrafi Esfahani university, Esfahan, Iran (In Persian)
Bornarel, F., & Virgili, S. (2022). Swift trust et équipes temporaires: une étude exploratoire dans les cabinets de conseil. Innovations, 67(1), 41-68.
Cao, M., & Zhang, Q. (2011). Supply chain collaboration: Impact on collaborative advantage and firm performance. Journal of Operations Management, 29(3), 163–180.
Center, A. D. P. (2016). The International Federation of Red Cross and Red Crescent Societies Disaster Management Center.
 
De montigny, J. G., Desjardins, S., & Bouchard, L. (2019). The fundamentals of cross-sector collaboration for social change to promote population health. Global health promotion, 26(2), 41-50.
De Moura, E., Rocha, T., Chiroli, D. (2020). A framework proposal to integrate humanitarian logistics practices, disaster management and disaster mutual assistance: A Brazilian case; Safety Science., 132, 104965
Denning, P. J. (2006). Hastily formed networks. Communications of the ACM, 49(4), 15-20.
Dong, J., Wan, S., & Chen, S. M. (2021). Fuzzy best-worst method based on triangular fuzzy numbers for multi-criteria decision-making. Information Sciences, 547, 1080-1104.
Dubey, R., Altay, N., & Blome, C. (2019). Swift trust and commitment: The missing links for humanitarian supply chain coordination? Annals of Operations Research, 283(1), 159-177.
Dubey, R., Luo, Z., Gunasekaran, A., Akter, S., Hazen, B. T., & Douglas, M. A. (2018). Big data and predictive analytics in humanitarian supply chains: Enabling visibility and coordination in the presence of swift trust. The International Journal of Logistics Management.
Dubey, R., Gunasekaran, A., Bryde, D. J., Dwivedi, Y. K., & Papadopoulos, T. (2020). Blockchain technology for enhancing swift-trust, collaboration and resilience within a humanitarian supply chain setting. International Journal of Production Research, 58(11), 3381-3398.
Fathalikhani, S., Hafezalkotob, A. & Soltani, R. (2020). Government intervention on cooperation, competition, and coopetition of humanitarian supply chains., Socio-Economic Planning Sciences., 69, 100715.
Fawcett,  S. E., Magnan, G. M., & McCarter, M. W. (2008). Benefits, barriers, and bridges to effective supply chain management. Supply Chain Management, 13(1), 35–48.
Gupta, H. (2018). Evaluating service quality of airline industry using hybrid best worst method and VIKOR. Journal of Air Transport Management, 68, 35-47.
Halil, F. M., Mohammed, M. F., Mahbub, R., & Saifuza, A. (2016). Trust Attributes to Supply Chain Partnering in Industrialised Building System. Procedia - Social and Behavioral Sciences, 222, 46–55.
Hashemi Petrudi, S., Jafarnejad, A., Sadeghi Moghadam, M., Safari, H. (2017). Governance Challenges of Disaster Management Network: A Case Study of Tehran City. Journal of Public Administration, 9(3), 379-402. (In Persian)
 
Jajarmizadeh, M., gharibi, M., nikbakht, A. (2020). Identifying, framework and prioritizing the factors affecting Job rotation in the branches of Export Development Bank. Journal of Sustainable Human Resource Management, 2(3), 115-89. (In Persian)
Jensen, L. M., & Hertz, S. (2016). The coordination roles of relief organisations in humanitarian logistics. International Journal of Logistics Research and Applications, 19(5), 465-485.
Kalkman, J. P., & de Waard, E. J. (2017). Inter-organizational disaster management projects: Finding the middle way between trust and control. International Journal of Project Management, 35(5), 889-899.
 
Kunz, N., Reiner, G., & Gold, S. (2014). Investing in disaster management capabilities versus pre-positioning inventory: A new approach to disaster preparedness. International Journal of Production Economics, 157, 261-272.
Kwon, I.-W. G., & Suh, T. (2005). Trust, commitment and relationships in supply chain management: a path analysis. Supply Chain Management: An International Journal, 10(1), 26–33.
Laaksonen, T., Jarimo, T., & Kulmala, H. I. (2009). Cooperative strategies in customer–supplier relationships: The role of interfirm trust. International Journal of Production Economics, 120(1), 79–87.
 
Liu, S., Fang, Z., Yang, Y., & Forrest, J. (2012). General grey numbers and their operations. Grey Systems, 2(3), 341–349.
Lu, Q; Goh, M; De Souza, R(2018) "An empirical investigation of swift trust in humanitarian
logistics operations", Journal of Humanitarian Logistics and Supply Chain Management, https:// doi.org/10.1108/JHLSCM-07-2017-0033
Majchrzak, A., Jarvenpaa, S. L., & Hollingshead, A. B. (2007). Coordinating expertise among emergent groups responding to disasters. Organization Science, 18(1), 147–161.
 
McLaren, M., & Loosemore, M. (2019). Swift trust formation in multi-national disaster project management teams. International Journal of Project Management, 37(8), 979-988.
Min, S., Roath, A. S., Daugherty, P. J., Genchev, S. E., Chen, H., Arndt, A. D., & Richey, R. G.  (2005). Supply chain collaboration: what’s happening? The International Journal of Logistics Management, 16(2), 237–256.
Mohammadi, M., & Rezaei, J. (2020). Bayesian best-worst method: A probabilistic group decision making model. Omega, 96, 102075.
 
Nagurney, A., Daniele, P., Alvarez Flores, E., Caruso, A. (2018). A variational equilibrium framework for humanitarian organizations in disaster relief: effective product delivery under competition for financial funds., Dynamics of disasters: Algorithmic approaches and applications, Springer International Publishers, Switzerland (2018), pp. 109-133.
Natarajarathinam, M., Capar, I., & Narayanan, A. (2009). Managing supply chains in times of crisis: a review of literature and insights. International Journal of Physical Distribution & Logistics Management, 39(7), 535–573.
Petrudi, S. H. H., Ahmadi, H. B., Rehman, A., & Liou, J. J. (2021). Assessing suppliers considering social sustainability innovation factors during COVID-19 disaster. Sustainable Production and Consumption, 27, 1869-1881.
 
Petrudi, S. H. H., Tavana, M., & Abdi, M. (2020). A comprehensive framework for analyzing challenges in humanitarian supply chain management: A case study of the Iranian Red Crescent Society. International Journal of Disaster Risk Reduction, 42, 101340.
Qing, L., Goh, M., & De souza, R. (2018). An empirical investigation of swift trust in humanitarian logistics operations. Journal of Humanitarian Logistics and Supply Chain Management, 8(1), 70–86.
Rezaei, J. (2015). Best-worst multi-criteria decision-making method. Omega, 53, 49-57.
Rezaei, J. (2016). Best-worst multi-criteria decision-making method: Some properties and a linear model. Omega, 64, 126-130.
Sahebi, I. G., Masoomi, B., & Ghorbani, S. (2020). Expert oriented approach for analyzing the blockchain adoption barriers in humanitarian supply chain. Technology in Society, 63, 101427.
 
Salem, M., N. Van Quaquebeke, M. Besiou, and L. Meyer. )2019(. “Intergroup Leadership: How Leaders Can Enhance Performance of Humanitarian Operations.” Production and Operations Management. 28(11), 2877-2897.
Shayganmehr, M., Gupta, S., Laguir, I., Stekelorum, R., & Kumar, A. (2021). Assessing the role of industry 4.0 for enhancing swift trust and coordination in humanitarian supply chain. Annals of Operations Research, 1-33.
Talaie, H., Jafarnejad Chaghoushi, A., Kazemi, A., Mohamadi Kangarani, H. (2019). Designing a Trust Building Model in the Humanitarian Services Network(Case study: Plasco building fire, Shahran explosion, Metro flooding in Tehran). Quarterly Journal of Public Organizations Management, 7(2), 59-82. (In Persian)
Tatham, P., & Kovács, G. (2010). The application of “swift trust” to humanitarian logistics. International Journal of Production Economics, 126(1), 35-45.
Tejpal, G., Garg, R. K. & Sachdeva, A. (2013). “Trust among supply chain partners: a review”. Measuring Business Excellence, 17(1), 51-71.
Vahanvati, M., & Mulligan, M. (2017). A new model for effective post disaster housing reconstruction: Lessons from Gujarat and Bihar in India. International Journal of Project Management, 35(5), 802–817.
 
Van Wassenhove, L. N. (2006). Humanitarian aid logistics: supply chain management in high gear. Journal of the Operational research Society, 57(5), 475-489.
Wacker, J. G. (1998). A definition of theory: research guidelines for different theory-building research methods in operations management. Journal of operations management, 16(4), 361-385.
Wankhede, V. A., & Vinodh, S. (2021). Analysis of industry 4.0 challenges using best worst method: A case study. Computers & Industrial Engineering, 159, 107487.
 
Widera, A., Dietrich, H. A., Hellingrath, B., & Becker, J. (2013). Understanding humanitarian supply Chains-Developing an integrated process analysis toolkit. In ISCRAM.
Wu, M.Y., Weng, Y.C. & Huang, I.C. (2012). “A study of supply chain partnerships based on the commitment-trust theory”.Asia Pacific Journal of Marketing and Logistics, 24(4), 690–707.
Journal of Sustainable Human Resource Management
Volume 4, Issue 6
July 2022
Pages 160-143

Files

Share

How to cite

Statistics