Co-opetition in Service Clusters with Waiting-Area Entertainment
Manufacturing & Service Operations Management, Vol. 23, No. 1, pp. 106–122, January–February 2021
Johns Hopkins Carey Business School Research Paper No. 17-07
42 Pages Posted: 11 Oct 2016 Last revised: 12 Jan 2021
Date Written: July 3, 2019
Abstract
Problem Definition: Unoccupied waiting feels longer than it actually is. Service providers operationalize this psychological principle by offering entertainment options in waiting areas. A service cluster with a common space provides firms with an opportunity to cooperate in the investment for providing entertainment options while competing on other service dimensions.
Academic/Practical Relevance: Our paper contributes to the literature by being the first to examine co-opetition in a service setting, in addition to developing a novel model of waiting-area entertainment. It also sheds new light on the emerging practice of service clusters and small-footprint retailing.
Methodology: Using a queueing theoretic approach, we develop a parsimonious model of co-opetition in a service cluster with a common space.
Results: By comparing the case of co-opetition with two benchmarks (monopoly, and duopoly competition), we demonstrate that a service provider that would otherwise be a local monopolist can achieve higher prof- itability by joining a service cluster and engaging in co-opetition. Achieving such benefits, however, requires a cost-allocation scheme that properly addresses an efficiency-fairness tradeoff — the pursuit of fairness may backfire and lead to even lower profitability than under pure competition.
Managerial Implications: We show that as much as co-opetition facilitates resource sharing in a service cluster, it heightens price competition. Furthermore, as the intensity of price competition increases, surprisingly, service providers may opt to charge higher service fees, albeit while providing a higher entertainment level.
Keywords: Service co-opetition; waiting-area entertainment; marketing/operations interfaces; service clusters; common spaces
JEL Classification: L24, L80, D74
Suggested Citation: Suggested Citation