Innovation Management in Defensive Organizations

Innovation Management in Defensive Organizations

An Innovative Pathology Model of Product Supply Chain Performance under Conditions of Uncertainty

Document Type : Original Article

Authors
1 Ph.D. Candidate Industrial Management-Production and Operations, Department of Industrial Management, Faculty of Management and Accounting, Rasht Branch, Islamic Azad University, Rasht, Iran.
2 Assistant Professor, Department of Industrial Management, Faculty of Management and Accounting, Rasht Branch, Islamic Azad University, Rasht, Iran.
3 Associate Professor, Department of Business Administration, Faculty of Management and Accounting, Rasht Branch, Islamic Azad University, Rasht, Iran.
10.22034/qjimdo.2023.424424.1636
Abstract
Background & Purpose: Decisions related to the supply chain and the selection of supply chain channel members are one of the main and strategic issues in supply chain and play an important role in the company's success in responding to customer demand. The aim of this research is to analyze the performance of the supply chain of dairy products under conditions of uncertainty.
Methodology: The current research is an applied research in terms of its purpose and a mixed exploratory research in terms of the method of data collection. The statistical population of the research in the qualitative part included senior managers of dairy companies as executive experts, 15 of whom were selected by snowball sampling. In the quantitative part, the statistical population included managers and employees (experts and above) of one of the country's dairy companies, 106 of whom were selected based on Morgan's table and available sampling method. For data analysis, thematic analysis was used in the qualitative part and structural equations were used in the quantitative part.
Findings: The findings from the qualitative data analysis indicate the identification of 28 damages in the form of three overarching themes (supervisory factors, organizational factors and environmental factors) and 8 organizing themes (internal supervision, external supervision, structural factors, process factors, human factors, transportation conditions , economic factors and market conditions). The results of the confirmatory factor analysis also indicated the validity of the findings of the qualitative section.
Conclusion: Improving the performance of the dairy products supply chain network requires the company managers to focus on the identified damages. Then, setting goals in strategic plans and formulating appropriate strategies around supply chain performance in uncertain conditions can be effective.
Keywords

Subjects


Cabral, I., A. Grilo, and Cruz-Machado, V., (2012). A decision makingmodel for Lean, Agile, Resilient and Green supplychain management. International Journal of Production Research, 24, 1-16.
Chen, L., Dui, H. and Zhang, C.(2020). A resilience measure for supply chain systems considering the interruption with the cyber-physical systems. Reliability Engineering & System Safety, 199, 178-188.
Chilmon, B. and Tipi, N.S.(2020). Modelling and simulation considerations for an end-to-end supply chain system. Computers & Industrial Engineering, 150, 146-157.
Ebrahimpour, M. and Farjoud Choukami, Z. (2023). Identification and ranking of supply chain resilience indicators in four dimensions using Soara method in the food industry. Management Improvement, 17(2), 33-59. [In Persian].
Ehsanpour, K., Sadeghi, T. and Sedaghat, R.(2013).Investigating the current situation and presenting optimal strategies to improve the efficiency of pistachio distribution channels in Kerman province using the SWOT model. International Journal of Nuts, 4 (4), 15-23.
Hahlani, C. and Garwi, J. (2014). Operational challenges to smallholder dairy farming: The case of mayfield dairy settlement scheme in Chipinge District of Zimbabwe. IOSR Journal of Humanities and Social Science,19(1), 87–94.
Hatami, K.,  Kheiri, B. and Heydari, S.A.(2020). a MCDM approach for evaluation and selection of distribution channels in fmcg industry. International Journal of Management (IJM). 11(12), 404-414.
Hoogstra-Klein, M.A. and Meijboom, K.(2021). A qualitative exploration of the wood product supply chain – investigating the possibilities and desirability of an increased demand orientation. Forest Policy and Economics, 133, 102-116.
Kabiesz, P. and Kubon, M.(2019). Evaluation of Distribution Channels in a Selected Meat Processing Company, Scientific Papers of Silesian University of Technology.  Organization and Management Series, 134, 1-6.
Khavari, S. and Derakhsh, S. (2021). An innovative conceptual model framework for logistics integration. Supply Chain Management, 23(70), 37-54. [In Persian].
Kline, C. S., Joyner, L. E., Kirchoff, J. F., Crawford, A., Jilcott Pitts, S., Wall-Bassett, E. and Dunning, R.(2016). Gaps and barriers along the North Carolina agri-food value chain. British Food Journal, 118(2), 301–317.
Knuutila, M., Vesa P. and Tom, S.(2011).The effect of distribution channels on mutual fund flows. Journal of Financial Services Marketing, 14, 88-96.
Linda, W. (2014).Trends and developments in longtermsteeldemand –The intens ity-of-use hypothesis revis ited. Resources Policy,39: 134-143
Moghadam, H. (2014). Investigating the impact of the organization's resource planning systems on the supply chain management performance of Iran Khodro Company. thesis, Islamic Azad University, Rasht Branch. [In Persian].
Moghaddam, H.R., Nasehi far, V., Dehdashti Shahrokh, Z. and  Taghi Taghavifard, S.M.(2020). Developing an integrated distribution channel model for fast moving consumer goods manufacturing and importing companies in Iran. International Journal of Industrial Engineering & Management Science, 7(1), 1-19.
Nagurney, A.(2013). Competitive food supply chain networks with application to fresh produce, European Journal of Operational Research,224(2): 273-282.
Qronfelh,S.(2014). Alignment of information syste with supply chain: impacts on supply chain performance and organizational performance. Degree in manufacturing management in the University of Toled.
Rajgopal, J. (2016). Supply Chains: Distribution, Warehousing, Transportation. Retrieved from University of Pittsburgh, Department of Industrial Engineering: http://www.pitt.edu/~jrclass/sca/notes/9-Distribution.pdf.
Ramani, A.V.(2018). Supply Chain Distribution Network Analysis of Two Cable Manufacturers. Proceedings of the International Conference on Industrial Engineering and Operations Management. Pretoria / Johannesburg, South Africa, October 29 – November 1.
Reddy, V. R., Anbumozhi, V.  and Singh, S. K.(2016). Food supply chain disruption due to natural disasters: Entities, risks, and strategies for resilience(ERIA discussion paper series). Research Institute of Economy, Trade and Industry.
Roy, N., Mannan, M.S. and Hasan, M.F.(2020). Systematic incorporation of inherent safety in hazardous chemicals supply chain optimization. Journal of Loss Prevention in the Process Industries, 16, 412-419.
Saharkhan, A. (2015). Supply Chain Tracking Techniques: Work Processes and Systemization Requirements for Complete Supply Chain Tracking. Tehran: Commercial Printing Company. [In Persian].
Sadeghi, A.; Azar, A.; Valmohammadi, G.; Alirezaei, A.T. (2018). Designing a service-product supply chain performance evaluation model in home appliance industries using factor analysis and neural-fuzzy networks with a case study of home appliance companies in Iran. Research in Production and Operations Management, 10(2), 123-83. [In Persian]
Sharma, R. (2022). Industry 4.0 Technologies in Agri-Food Supply Chains: Key Performance Indicators, Mor, R.S., Kumar, D. and Singh, A. (Ed.) Agri-Food 4.0, Advanced Series in Management, 27,179-187.
Suryagayathri, C. K., Prof, J. and Krishnan, Sh.(2018).  A Study on the Evolution of Distribution channels of Telecom Industry in India. International Journal of Pure and Applied Mathematics. 119(16), 425-436.
Tiwari, S., Wee, H.M. and Daryanto, Y.(2018). Big data analytics in supply chain management between 2010 and 2016: Insights to industries. Computers & Industrial Engineering, 115, 319-330.
Trihatmoko, R. A. and Mulyani, R. (2018). Distribution strategy for new product marketing success: fast moving consumer goods business. Management and Human Resource Research Journal, 7(2), 19-32.
Turken, N. and Geda, A.(2020). Supply chain implications of industrial symbiosis: A review and avenues for future research, Resources. Conservation and Recycling, 161, 104-114.
Valk, V. and Tessama, A.(2010). The formal dairy chain of Addis Ababa, an analysis of the integration of small -scale dairy farmers in Ethiopian, Addis Ababa. Supply Chain Management, 14(4): 247-252.
Wamba, S.F., Queiroz, M.M. and Trinchera, L.(2020). Dynamics between blockchain adoption determinants and supply chain performance: An empirical investigation. International Journal of Production Economics, 229,245-257.
Wąsowska, A. and Włodarczyk, R.(2019). Evaluation of traditional and modern distribution channels in tourist market. Zeszyty Naukowe Politechniki Częstochowskiej. Zarządzanie Nr, 33, 332-344.
Younis, H., Sundarakani, B. and  O'Mahony, B.(2019). Green Supply Chain Management and Corporate Performance: Developing a Roadmap for Future Research Using a Mixed Method Approach. IIMB Management Review,  24:101-113.
Yumurtaci, I.O., Ersoy, P. and Börühan, G. (2016). Marketing channel strategy and the effect of cannibalization on retailing: A conceptual overview from marketing and supply chain perspective, Yönetim ve Ekonomi Araştırmaları Dergisi, 14(2), 114-126.
Zimon, D.(2017). Quality Management Systems’ Impact on the Functioning of Distribution Channels in the FMCG Market. Quality Management, 18(156), 526-534.
Zou, Z., Tseng, T. L., Sohn, H., Song, G. and Gutierrez, R. (2018). A rough set based approach to distributor selection in supply chain management. Expert Systems with Applications, 38, 106–115.