A Decision-Making Model of Social Shopping in Franchising: Assessing Collaboration Strategies

Author:

Lee In1,Lee Choong-Kwon2,Yoo Sangjin3,Choi Moo-Jin3

Affiliation:

1. Stipes Hall 442 F, School of Computer Sciences, Western Illinois University, Macomb, IL, USA

2. Department of Management Information Systems, College of Business Administration, Keimyung University, South Korea

3. Department of Management Information Systems, Keimyung University, Daegu, South Korea

Abstract

Our paper develops a decision-making model of social shopping in franchising to understand impacts of various collaboration strategies on profits of a social intermediary, a franchisor, and a franchisee. Three decision variables are considered to make a daily deal promotion in a manner that results in optimal profits: the social intermediary's advertising expense, the franchisee's service quality expense, and the franchisor's financial assistance to the franchisee. The analysis shows that while system-wide collaboration generates more total profit for all three parties than the profits obtained when they seek to optimize their individual profit functions, the advantage of system-wide collaboration may depend on the parameter values of the profit function and collaboration cost. Since social shopping is just in the early stage of the business model development, most franchises and social intermediaries have not formed concrete collaboration strategies. Our model provides a methodology for different collaborative needs of the franchises and social intermediaries.

Publisher

World Scientific Pub Co Pte Lt

Subject

Computer Science (miscellaneous),Computer Science (miscellaneous)

Cited by 3 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

1. AMBIENTE INSTITUCIONAL E O DESENVOLVIMENTO DAS REDES DE FRANQUIAS NA REGIÃO NORTE DO BRASIL;Gestão & Regionalidade;2024-06-07

2. Regional development and the institutional environment for franchise chains: frontiers of small and medium-sized cities;Competitiveness Review: An International Business Journal;2021-10-11

3. Mining Customer Shopping Behavior;International Journal of Information Systems in the Service Sector;2018-01

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