Identifying Factors Affecting Consumer Channel Choice in Order to Determine the Optimal Pricing Strategy of Multichannel Companies (Case Study: Retail Industries)

Document Type : Qualitative Research Paper

Authors

1 Associate Prof. in Faculty of Management, University of Tehran, Tehran, Iran

2 Business Management Dep.Faculty of management,, University of Tehran

3 Ph.D. in Marketing ,Faculty of Management, University of Tehran

4 Entrepreneurial management,, University of Tehran, Tehran, Iran

Abstract

With the spread of the Internet in the business environment; The retail infrastructure has changed, providing new and creative opportunities for marketing and sales activities through various channels, as well as greater flexibility in marketing and pricing decisions for retailers. The purpose of this study is to identify the factors affecting consumer channel choice in order to determine the optimal pricing strategy of multi-channel companies. In this regard, 13 managers of multi-channel companies in different industries were interviewed. In order to analyze the data, the data theory method of the Glaser method was used and the initial codes were identified. Based on the analysis, 418 codes were identified as primary codes. After coding the researches, duplicate codes were removed. According to their semantic similarity and closeness, they were classified into 8 categories including: demographics, product characteristics, retail services, psychological, physical environment, social needs, emotional needs and perceptual value. At the end of this article, according to the mentioned categories, some useful suggestions for choosing the optimal pricing strategy in multi-channel retailers are presented for their managers.

Keywords


 
Alba, J., Lynch, J., Weitz, B., Janisewski, C., Lutz, R., & Sawyer, A. (1997). Interactive Home Shopping: Consumer, Retailer, and Manufacturer Incentives to Participate in Electronic Markets. Journal of Marketing, 38-53.
Ancarani, F., & Shankar, V. (2004). Price Levels and Price Dispersion Within and Across Multiple Retailer Types:Further Evidence and Extension. Journal of the Academy of Marketing Science, 176-188.
ANSARI, A., MELA, C. F., & NESLIN, S. A. (2008). Customer Channel Migration. Journal of Marketing Research, 60-76.
Avery, J., Steenburgh, T., Deighton, J., & Caravella, M. (2012). Adding Bricks to Clicks: Predicting the Patterns of Cross-Channel Elasticities Over Time. Journal of Marketing, 7-43.
Bell, D., Gallino, S., & Moreno, A. (2013). Inventory Showrooms and Customer Migration in Omni-channel Retail: The Effect of Product Information. SSRN Electronic Journal.
Burke, R. R. (2002). Technology and the Customer Interface: What Consumers Want in the Physical and Virtual Store. Journal of the Academy of Marketing Science, 411-432.
Cavallo, A. (2017). Are Online and Offline Prices Similar? Evidence from Large Multi-Channel Retailers. American Economic Review, 283-303.
Chatterjee, P., & Kumar, A. (2016). Consumer willingness to pay across retail channels. Journal of Retailing and Consumer Services, 1-7.
Chiang, K., & Dholakia, R. (2003). Factors Driving Consumer Intention to Shop Online: An Empirical Investigation. Journal of Consumer Psychology, 177-183
Didekhani, H., Mehrani, H., Badiee, F., & Yousefi Kimjani, A. (2020). Designing an Evaluation Model and Selecting a Strategy for Multiple Distribution Channels in the Dairy Supply Chain - Fuzzy Decision-Making Approach. Business Research Journal, 23 (92), 55-80. (In Persian)
Flores, J., & Sun, J. (2013). Online versus In-Store: Price Differentiation for Multi-Channel Retailers. Proceedings of the Conference for Information Systems Applied Research (pp. 1-10). San Antonio, Texas, USA: EDSIG.
Fox, E., Alan, J., Montgomery, L., & Lodish, L. M. (2004). Consumer shopping and spending across retail formats. The journal of business, 25-60.
Gao, F., Vishal, V., & Agrawal, S. C. (2021). The Effect of Multichannel and Omnichannel Retailing on Physical Stores. Management Science, 1–18
Gehrt, K., & Yan, R.-N. (2004). Situational, consumer, and retailer factors affect Internet, catalog, and store shopping. International Journal of Retail & Distribution Management, 5-18.
Gensler, S., Neslin, S., & Verhoef, P. (2017). The Showrooming Phenomenon: It's More than Just About Price. Journal of Interactive Marketing, 29-43.
Hansen, R. A., & Deutscher., T. (1977). An empirical investigation of attribute importance in retail store selection. Journal of Retailing, 59–95.
Homburg, C., Lauer, K., & Vomberg, A. (2019). The multichannel pricing dilemma: Do consumers accept higher offline than online prices? International Journal of Research in Marketing.
Huang, W., & Swaminathan, J. M. (2009). Introduction of a second channel: Implications for pricing and profits. European Journal of Operational Research, 258–279.
Inman, J. J., Shankar, V., & Ferraro, R. (2004). The Roles of Channel-Category Associations and Geodemographics in Channel Patronage. Journal of Marketing, 51-71.
Isavi, H., & Nazari, M. (2021). Providing a framework for price perception in different consumers of Iranian ethnic groups. Consumer Behavior Studies, 7 (2), 105-133. (In Persian)
Keaveney, S., & Parthasarathy, M. (2001). Customer Switching Behavior in Online Services: An Exploratory Study of the Role of Selected Attitudinal, Behavioral, and Demographic Factors. Journal of The Academy of Marketing Science.
Khan, R. J., & C., Jain. (2005). An Empirical Analysis of Price Discrimination Mechanisms and Retailer Profitability. Journal of Marketing Research, 516–524.
Kireyev, P., Kumar, V., & Ofek, E. (2017). Match Your Own Price? Self-Matching as a Retailer’s Multichannel Pricing Strategy. Marketing Science, 1.
Konus¸, U., Verhoef, P. C., & Neslin, S. A. (2008). Multichannel Shopper Segments and Their Covariates. Journal of Retailing, 398–413.
Kushwaha, T., & Shankar, V. (2013). Are Multichannel Customers Really More Valuable? The Moderating Role of Product Category Characteristics. Journal of Marketing, 67-85.
Lal, R., & Sarvary, M. (1999). When and How Is the Internet Likely to Decrease Price Competition? Marketing Science, 485-503.
MollahHosseini, A., Tajeddini, F. (2016). Investigating the effect of diversity of distribution channels of foreign luxury brands on the brand value of consumer loyalty in the Kerman clothing market. Business Management, 7 (1), 187-208. (In Persian)
Nazari, M., Heidari, A., Haghighinasab, M., & Samizadeh, M. (2019). Meta-analysis of factors affecting perceived fairness in dynamic pricing strategy. Business Management,10 (1), 229-252. (In Persian)
Nazari, M., & Fathi, H. (2020). Investigating the effect of the price difference, the hierarchical and indigenous social norm on the perception of fair pricing; Analysis of the role of the source of financing. Consumer Behavior Studies, 6 (1), 1-19. (In Persian)
Neslin, S., & Grewal, D., Leghorn, R., Shankar, V., Teerling, M., Thomas, J., & Verhoef, P. (2006). Challenges and Opportunities in Multichannel Customer Management. Journal of Service Research - J SERV RES. 9. 95-112. 10.1177/1094670506293559.
Thomas, J. S., & Verhoef, P. C. (2006). Challenges and Opportunities in Multichannel Customer Management. Journal of Service Research, 95-112.
Nicholson, M., ClarkeIan, & Blakemore, M. (2002). 'One brand, three ways to shop':situational variables and multichannel consumer behaviour. The International Review of Retail, Distribution and Consumer Research, 37-42.
Pan, X., Ratchford, B. T., & Shankar, V. (2003). Can Price Dispersion in Online Markets be Explained by Differences in e-Tailer Service Quality? Journal of the Academy of Marketing Science.
Schoenbachler, D. D., & Gordon L., G. (2002). Multi-channel shopping: understanding what drives channel choice. Journal of Consumer Marketing, 42-53
Shankar, V., Smith, A. K., & Rangaswamy, A. (2003). Customer satisfaction and loyalty in online and offline environments. Intern. Journal of Research in Marketing, 153-175.
Shapiro, C., & Varian, H. (1999). Information Rules. Harvard Business School Press.
Sun, Liboو Xiaoting Jiao, Xiaolong Guo, Yugang Yu,) 2021( Pricing policies in dual distribution channels: The reference effect of official prices, European Journal of Operational Research,1-12.
Thomas, J. S., & Sullivan, U. Y. (2005). Managing Marketing Communications with multichannel customers. Journal of Marketing, 239-251.
Tsay, A. A., & Agrawal, N. (2004). MODELING CONFLICT AND COORDINATION IN MULTI-CHANNEL DISTRIBUTION SYSTEMS. Santa Clara: Kluwer Academic.
Varian, H. R. (1995). Pricing information goods. University of Michigan.
Verhoef, P. C., Neslin, S. A., & Vroomen, B. (2007). Multichannel customer management: Understanding the research-shopper phenomenon. Intern. Journal of Research in Marketing, 129–148.
Wallacea, D. W., Gieseb, J. L., & Johnso, J. L. (2004). Customer retailer loyalty in the context of multiple channel strategies. Journal of Retailing, 249–263.
Wang, R. J., Malthouse, C., E., & Krishnamurthi, L. (2015). On the go:How mobile shopping affects customer purchase behavior. Journal of Retailing, 217-234.
Wang, Z., Zhu, C., Tian, S., & Li, P. (2019). Differentiation and pricing power of online retailers. Frontiers of Business Research in China.
Wolk, A., & Ebling, C. (2010). Multi-channel price differentiation: An empirical investigation of existence and causes. Intern. Journal of Research in Marketing, 142-150.
Zhuang, H., Leszczyc, P. T., & Lin, Y. (2018). Why is price dispersion higher online than offline? The impact of retailer type and shopping risk on price dispersion. Journal of Retailing, 136–153.