This study explores the dynamic interplay between price management and service rate optimization in customer-intensive service environments characterized by social interactions. In such contexts, service providers must navigate the delicate balance between offering competitive prices and maintaining optimal service levels to meet customer expectations and foster positive social interactions. Through theoretical analysis and empirical investigation, this research investigates strategies for effectively managing price and service rate in customer-intensive settings. Key considerations include understanding the impact of social interactions on service demand, pricing strategies that promote customer satisfaction and loyalty, and operational tactics for optimizing service delivery while maintaining profitability. Insights derived from this study offer valuable guidance for service providers seeking to strike a balance between price competitiveness and service quality in socially interactive service environments.

Price Management, Service Rate Optimization, Customer-Intensive Services

Anand, K. S., Paç, M. F., & Veeraraghavan, S. (2011). Quality-speed conundrum: trade- offs in customer-intensive services. Management Science, 57(1), 40-56.

Ata, B., & Shneorson, S. (2006). Dynamic control of an M/M/1 service system with adjustable arrival and service rates. Management Science, 52(11), 1778-1791.

Bohlmann, R. N., Rosa, J. A., Bolton, R. N., & Qualls, W. J. (2006). The effect of group interactions on satisfaction judgment: satisfaction escalation. Marketing Science, 25(4), 301-321.

Brock, W. A., & Durlauf, S. N. (2001). Discrete choice with social interactions. Review of Economic Studies, 68(2), 235-260.

Brock, W. A., & Durlauf, S. N. (2007). Identification of binary choice models with social interactions. Journal of Economics, 140(1), 52-75.

Campbell, A. (2015). Word of mouth models for sales. Economics Letters, 133, 45-50.

Li, C., Jiang, M., & Yuan, X. (2018). Managing operations in customer-intensive services with forward-looking customers. Kybernetes, 47(10), 1941-1955.

Godes, D. (2016). Product policy in markets with word-of-mouth communication. Management Science, 63(1), 267-278.

Ni, G., Xu, Y., & Dong, Y. (2013). Price and speed decisions in customer-intensive services with two classes of customers. European Journal of Operational Research, 228(2), 427-436.

Hanson, W. A., & Puter, D. S. (1996). Hits and misses: herb behavior and online product popularity. Marketing Letters, 7(4), 297-305.

Hartmann, W. R. (2010). Demand estimation with social interactions and the implications for targeted marketing. Marketing Science, 29(4), 585-601.

Hassin, R., & Haviv, M. (2003). To queue or not to queue: equilibrium behavior in queuing systems (1st ed.). Norwell: Kluwer Academic Publishers.

Kostami, V., Kostamis, D., & Ziya, S. (2017). Pricing and capacity allocation for shared services. Manufacturing and Service Operations Management, 19(2), 230-245.

Marand, A. J., Tang, O., & Li, H. (2019). Quandary of service logistics: fast or reliable? European Journal of Operational Research, 275(3), 983-996.