Explanation of the components affecting the routing of the food distribution system
Subject Areas : Jounal of Marketing Management
saeed arabi
1
,
farshid namamian
2
*
,
yosef mohammadifar
3
,
فخرالدین معروفی
4
1 - Ph.D. Candidate Department of Business Management, Kermanshah Branch, IsLamic Azad University, Kermanshah, Iran
2 - Assistant Prof Department of Business Management, Kermanshah Branch, Islamic Azad University, kermanshah, Iran
3 - Assistant Prof Department of management and Entrepreneurship,Faculty of Economics and Enterpreneurship, Razi University, Kermanshah, Iran
4 - Associate Prof Department of Business Management, School of Humanities and Scienes, University of kurdistan, Sanandaj, Iran
Keywords: Routing, distribution system, confirmatory factor analysis.,
Abstract :
The main goal of the research was to explain the factors affecting the routing of the food distribution system. To achieve the goal, based on the conceptual model of the research, a researcher-made questionnaire including 121 questions was designed and distributed through random sampling method with the participation of 180 people among the managers, experts and expert personnel of food distribution companies in Kermanshah province. After collecting the data, in the quantitative part of the research using confirmatory factor analysis, the questions with low factor load were removed and based on the questions with high factor load and using structural equation modeling method in the form of primary model and model Modification based on the fit indices related to each one and using criteria and factor loading, Cronbach's alpha coefficient of the whole questionnaire equals 965/. , the reliability and validity of each of the components of the model and the impact of the influencing components on the routing of the food distribution system were investigated. The obtained results indicate the positive and significant effect of the causal and contextual factors and the negative and significant effect of the intervening conditions on the results of the paradigm model of the research and the significance level (sig) above 5% based on the Kolmogorov-Smirinoff test indicates the normal distribution of the data
کاظمی, نویدینکو و میرزایی. (2017). بررسی عوامل مرتبط با میزان فروش محصولات توسط پایانههای فروش (خردهفروشان) (ویژه صنایع غذایی شهر کرج). مدیریت بازاریابی، 12(35)؛ 111-127.
1. Kazemi, R., Navidi Nekou, R., & Mirzaee, A. A. (2017). Investigating the factors associated with the sales volume of sales through terminals (retailers) (Special food industry in Karaj). Jounal of Marketing Management, 12(35), 111-127.
2. Bijmolt, T. H., Broekhuis, M., De Leeuw, S., Hirche, C., Rooderkerk, R. P., Sousa, R., & Zhu, S. X. (2021). Challenges at the marketing–operations interface in omni-channel retail environments. Journal of Business Research, 122, 864-874.
3. Christou, E., & Chatzigeorgiou, C. (2020). Adoption of social media as distribution channels in tourism marketing: A qualitative analysis of consumers’ experiences. Journal of Tourism, Heritage & Services Marketing (JTHSM), 6(1), 25-32.
4. Hulthen, K. (2007). Economizing in differentiated distribution networks. European Business Review, 19 (6): 508-532.
5. Jamshidi, A., Aali, S., & Bafandeh Zendeh, A. (2019). Study the Development of Knowledge-based Employment in the Agricultural Cooperative with Grounded Theory. Co-Operation and Agriculture, 8(31), 27-56.
6. Karimi, H., Bakhsham, M., Almasifard, M. R., & Yarahmadi, M. (2022). Presenting a Model of the Success Factors of Cause-Related Marketing in Iran. New Marketing Research Journal, 11(4), 177-190.
7. Khakestarian, N., Paydar, M., Mahdavi, I., & Forghani, M., (2021). Ranking of the effective factors of food distribution channels of food distribution companies. Modern World, (14)1-11.
8. Kajwang, B. (2022). EFFECT OF DIGITAL DISTRIBUTION CHANNELS ON PERFORMANCE OF INSURANCE SECTOR. Journal of Marketing Studies, 5(1), 32-42.
9. Mira, A., Seyed-Hashemi-Toloun, M. R., & Borj-Soraya, L. (2013). Effective Factors of Niche Markets Recognition in Iranian Food Industry: Case Study on Iranian Sweet and Chocolate Industry. Management and Development Process, 26(3), 39-62.
10. NAJAR, E. (2021). Study of capillary marketing with a review approach. New Business Attitudes, 2(3), 75-87.
11. Prabhuram, TRajmohan, M., Tan, Y., & Robert Johnson, R. (2020). Performance evaluation of Omni channel distribution network configurations using multi criteria decision making techniques. Annals of operations research, 288, 435-456.
12. Safarzadeh, H. Miraie, V & Rezaie, R., (2009). Analysis of the role of components of distribution channels in promoting customer loyalty. Business management. 167-184.
13. Seyyedamiri, N., & Hendijani Fard, M. (2017). The effect of technology commercialization competence on competitive advantage: The moderating role of market orientation. New Marketing Research Journal, 7(1), 59-74.
14. Shankar, V., & Kushwaha, T. (2021). Omnichannel marketing: Are cross-channel effects symmetric. International Journal of Research in Marketing, 38(2), 290-310.
15. Sharifi, K., Nasaie, H., & Yavarzadeh, M. (2013). Identifying and prioritizing factors affecting the efficiency of the goods distribution network. Journal of Business Management. 5(2). 115-130.
16. Uche, B. D. (2021). EFFECT OF MARKETING DISTRIBUTION CHANNEL STRATEGIES ON THE PERFORMANCE OF COMMERCIAL BANKS IN NIGERIA. Academy of Marketing Studies Journal, 25, 1-16.
17. Wang, B., Jiang, W., & Chen, G. (2022). Cross-channel distribution and streamwise dispersion of micro-swimmers in a vertical channel flow: A study on the effects of shear, particle shape, and convective inertial torque. Physics of Fluids, 34(1).
18. Đalić, I., Stević, Ž., Erceg, Ž., Macura, P., & Terzić, S. (2020). Selection of a distribution channel using the integrated FUCOM-MARCOS model. International Review, (3-4), 80-96.