Community-based management for low-digitalized communities using cross-cutting purchasing behavior
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Published:2024-01-02
Issue:1
Volume:11
Page:
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ISSN:2662-9992
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Container-title:Humanities and Social Sciences Communications
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language:en
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Short-container-title:Humanit Soc Sci Commun
Author:
Ieiri Yuya,Yamaki Kaishu,Hishiyama Reiko
Abstract
AbstractThe need for community-based management to revitalize the economy of commercial areas by using consumer behavior analysis focusing on transactions has increased. Low-digitalized shopping communities, commercial communities that include retailing that have not introduced digital technologies, require community-based management using consumer behavior analysis. However, low-digitalized shopping communities cannot collect cross-cutting consumer behavior data using digital technologies such as point of sales (POS) systems. This difficulty obscures the novel management potential of applying such customer behavior analysis to community-based management. Our study aims to bridge the gap between low-digitalized shopping communities and community-based management using customer behavior analysis. To achieve this purpose, this study proposed a novel management approach using data collected using paper-based community currencies and its analysis method. Two field experiments were performed in low-digitalized shopping communities in Japan using two types of community currencies: from-to (FT) and customer attributes (CA). This study illustrated the possibility of community-based management in low-digitalized shopping communities and extending conventional retailing management methods using customer behavior analysis to community-based management.
Publisher
Springer Science and Business Media LLC
Subject
General Economics, Econometrics and Finance,General Psychology,General Social Sciences,General Arts and Humanities,General Business, Management and Accounting
Reference58 articles.
1. Agrawal R, Srikant R, et al. (1994) Fast algorithms for mining association rules. In: Proceedings of 20th International Conference on Very Large Data Bases, VLDB, vol. 1215. Santiago, Chile, p 487–499
2. Amemiya N, Terada R, Asahi Y (2018) Characteristic analysis of each store in japanese hair salon. In: International Conference on Human Interface and the Management of Information. Springer, Cham, p 12–30
3. Aydınoğlu NZ, Krishna A (2019) The power of consumption-imagery in communicating retail-store deals. J Retail 95(4):116–127
4. BBC News (2013) Business High street vacancies still stubbornly high. https://www.bbc.com/news/business-24025297
5. BBC News (2019) Business High streets hit as shop vacancy rate worst since 2015. https://www.bbc.com/news/business-49311298