Affiliation:
1. Lomonosov Moscow State University
Abstract
The purpose of this article is to offer a systematic view of omnichannel as a new environment for interaction of market actors. To solve this problem, the author examines the features of the customer-oriented marketing concept and identifies the contradictions between the increasingly complex consumer behavior and the traditional company's strategies and technologies of the interaction with its customers. The author analyzes omnichannel as a solution that not only optimizes this interaction, but also creates a new technological basis and the environment of this interaction. The article examines the expected benefits, challenges and limitations that companies face when developing omnichannel strategies. Based on the theoretical analysis and own empirical research, the author determines the features of the introduction of omnichannel strategies into the practice of Russian business, and also specifies the directions of future research.
Publisher
Faculty of Economics, Lomonosov Moscow State University
Subject
Marketing,Organizational Behavior and Human Resource Management,Strategy and Management,Drug Discovery,Pharmaceutical Science,Pharmacology
Reference36 articles.
1. Arenkov I.A., Krylova Yu.V., Tsenzharik M.K. Klientoorientirovannyy podkhod k upravleniyu protsessami v tsifrovoy ekonomike. Nauchno-tekhnicheskie vedomosti Sankt-Peterburgskogo gosudarstvennogo politikhnicheskogo universiteta. Ekonomicheskie nauki. 2017. Vol. 10. No. 6. P. 18–30. (In Russ.).
2. Dolmatova Yu.I. Tekhnologiya omnikanal'nosti v upravlenii affektivnoy loyal'nost'yu brendu. Sovremennaya mediasreda: traditsii, aktual'nye praktiki i tendentsii. Vzglyad molodykh issledovateley. 2019. P. 43–48. (In Russ.).
3. Banerjee M. Misalignment and its influence on integration quality in multichannel services. Journal of Service Research. 2014. Vol. 17 (4). P. 460–474. DOI: 10.1177/1094670514539395.
4. Bell D.R., Gallino S., Moreno A. How to win in an omnichannel world. Sloan Management Review. 2014. Vol. 56. P. 45–53.
5. Bradlow E.T., Gangwar M., Kopalle P., Voleti S. The role of big data and predictive analytics in retailing. Journal of Retailing. 2017. Vol. 93 (1). P. 79–95. DOI: 10.1016/j.jretai.2016.12.004.
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献