Transactions on Data Analysis in Social Science

Transactions on Data Analysis in Social Science

Examining the Factors Influencing the Purchasing Behavior of Food Retailers

Document Type : Original Article

Authors
1 Master’s Student in Business Administration, Lorestan University, Lorestan, Iran
2 PhD Student in Human Resource Management, Lorestan University, Lorestan, Iran.
3 Master’s Student in Business Administration, Lorestan University, Lorestan, Iran.
Abstract
The purpose of this study is to examine the factors that influence the purchasing behavior of retailers. From a research perspective, the study is applied in terms of purpose and descriptive-survey in terms of data type. The statistical population consists of food retailers in Khorramabad, which is unlimited in size. The Cochran formula was used to determine the sample size, resulting in a sample of 348 participants. Data were collected using the questionnaire developed by Sarkar et al. (2016) and Matos (2013). The validity of the questionnaire was confirmed by experts and faculty members, and its reliability was verified using Cronbach’s alpha. The results indicate that product demand positively and significantly affects supply and delivery quality as well as retailer credibility. Seasonal and holiday product demand also positively influences salesforce behavior and company reputation. Furthermore, company reputation positively impacts brand reputation, profit margin, and individual and social recognition. In addition, salesforce behavior has a significant positive effect on retailer credibility, individual and social recognition, brand reputation, and word-of-mouth advertising, while credibility positively affects profit margin. Conversely, brand reputation does not significantly influence retailer credibility or individual and social recognition, and company reputation does not have a significant effect on retailer credibility.
Keywords

  • Yusof, J. M., Musa, R., & Rahman, S. A. (2012). The effects of green image of retailers on shopping value and store loyalty. Procedia - Social and Behavioral Sciences, 50, 710–721. https://doi.org/10.1016/j.sbspro.2012.08.074
  • Tran, Q., & Cox, C. (2009). Building brand equity between manufacturers and retailers. Advances in Business Marketing and Purchasing, 15, 115–194. https://doi.org/10.1108/S1069-0964(2009)0000015008
  • Khooyeh, A. (2013). Store management, layout, and sales engineering (3rd ed.). Tehran: Didar Publications.
  • Kouhizadeh, M., Saberi, S., & Sarkis, J. (2021). Blockchain technology and the sustainable supply chain: Theoretically exploring adoption barriers. International Journal of Production Economics, 231, 107982. https://doi.org/10.1016/j.ijpe.2020.107982
  • Kotler, P. (1977). From sales obsession to marketing effectiveness. Harvard Business Review, 55(6), 67–75.
  • Mondol, E. P. (2021). The impact of blockchain and smart inventory system on supply chain performance in the retail industry. International Journal of Computations, Information and Manufacturing (IJCIM), 1(1), 1–12. https://doi.org/10.54489/ijcim.v1i1.30
  • Timoshenko, A., & Hauser, J. R. (2019). Identifying customer needs from user-generated content. Marketing Science, 38(1), 1–20. https://doi.org/10.1287/mksc.2018.1123
  • Taheri Kia, F., & Moschi, S. (2012). Evaluating the impact of retail communication efforts on consumer attitudes and behavior. Management Quarterly, 9(28), 55–72. [In Persian].
  • Rajabi Pour, A. (2014). Examining the interaction effects of corporate reputation and retail store equity on store loyalty. Tehran: Alzahra University Press. [In Persian].
  • Yaghoubi, N. M., & Shakeri, R. (2008). Comparative analysis of technology acceptance models with emphasis on internet banking adoption. Iranian Journal of Management Sciences, 11, 21–44. [In Persian].
  • AbdulQader, I. K. (2008). Intention to purchase electronic green products amongst lecturers: An empirical evidence (Master’s thesis). Universiti Sains Malaysia, Malaysia.
  • Low, G. S., & Mohr, J. J. (2000). Advertising vs. sales promotion: A brand management perspective. Journal of Product & Brand Management, 9(6), 389–414. https://doi.org/10.1108/10610420010356982
  • Thang, D. C. L., & Tan, B. L. B. (2003). Linking consumer perception to preference of retail stores: An empirical assessment of the multi-attributes of store image. Journal of Retailing and Consumer Services, 10(4), 193–200. https://doi.org/10.1016/S0969-6989(02)00006-1
  • Hu, Y. (2010). An investigation on the linkage between purchase intention and service quality in the e-commerce context. 2010 International Conference on Innovative Computing and Communication & Asia-Pacific Conference on Information Technology and Ocean Engineering, 304–307. https://doi.org/10.1109/CICC-ITOE.2010.61
  • Mira, S. A., Panahi Vanani, M., Panahandeh, A. H., & Shabani, R. (2014). Examining factors influencing word-of-mouth advertising in the banking industry. Journal of Management and Development Process, 27(1), 45–63. [In Persian].
  • Tajzadeh Namin, A., Tajzadeh Namin, A., & Mortaei Ghareh Bolagh, R. (2010). The relationship between seller-customer interaction and salesperson performance: A case study of audio-visual products. Business Management Quarterly, 2(6), 21–40. [In Persian].
  • Soltani Nejad, N., Haghighi, M., Khanifar, H., & Soltani Nejad, E. (2014). Investigating the impact of word-of-mouth advertising dimensions on customer purchase preference: The moderating role of consumer innovativeness (Case study: SONY mobile phones). Journal of Modern Marketing Research, 4(4), 21–42. [In Persian].
  • Sarkar, D., Kundu, K., & Chaudhuri, H. (2016). Constructing a conceptual model of purchase behaviour of village shopkeepers: A study of small rural retailers in Eastern India. Journal of Retailing and Consumer Services, 28, 1–16. https://doi.org/10.1016/j.jretconser.2015.08.002
  • Azar, A., & Momeni, M. (2012). Statistics and its applications in management (Vol. 2, 16th ed.). Tehran: SAMT Publications. [In Persian].
  • Matos, C. A., Henrique, J. L., & Rosa, F. (2013). Customer reactions to service failure and recovery in the banking industry: The influence of switching costs. Journal of Services Marketing, 27(7), 526–538. https://doi.org/10.1108/JSM-01-2012-0003
  • Ghasemi, V. (2010). Structural equation modeling in social research with Amos Graphics. Tehran: Sociologists Publications. [In Persian].
Volume 3, Issue 4
Autumn 2021
Pages 235-245

  • Receive Date 04 July 2021
  • Revise Date 07 November 2021
  • Accept Date 23 December 2021