Journal of Service Research

 

Advanced Search

Journal Navigation

Journal Home

Subscriptions

Archive

Contact Us

Table of Contents

Click here to sign up for SAGE Journal Email Alerts today!

Sign In to gain access to subscriptions and/or personal tools.
This Article
Right arrow Full Text (PDF)
Right arrow Full Text (OnlineFirst PDF)
Right arrow References
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Alert me to new issues of the journal
Right arrow Add to Saved Citations
Right arrow Download to citation manager
Right arrowRequest Permissions
Right arrow Request Reprints
Right arrow Add to My Marked Citations
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Pullman, M. E.
Right arrow Articles by Thompson, G.
Right arrow Search for Related Content
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati  
What's this?
Journal of Service Research, Vol. 5, No. 3, 169-183 (2003)
DOI: 10.1177/1094670502238913

Strategies for Integrating Capacity With Demand in Service Networks

Madeleine E. Pullman

Colorado State University

Gary Thompson

Cornell University

Service managers face the problem of simultaneously developing and implementing both capacity and demand management strategies. Often they must chose between marketing options, for shifting or increasing demand, or operations management options such as adding additional capacity via more equipment or employees. The interaction of these two functional area strategies can have surprising, unintended, and often detrimental outcomes from a profit perspective. This article looks at the outcomes of various combinations of these decisions in a service network, a service with multiple activities within one site. We develop and apply an integrative model for determining the profit-maximizing capacity management strategy for a service network. We implement the model by combining a conjoint analysis-based optimal product design model from marketing with a simulation model investigating capacity and demand management strategies from operations management. We tested the model using data from an actual service network, a ski resort. Our results indicated that queue information signage was the most effective strategy for improving profitability. We also found that a decision that management believed would increase revenues—changing the customer class mix—actually decreased profitability substantially.

Key Words: capacity • choice models • ski resorts • hospitality • integrated models


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Reddit Reddit   Add to Technorati Technorati    What's this?


This article has been cited by other articles:


Home page
Journal of Service ResearchHome page
G. M. Thompson and R. J. Kwortnik Jr
Pooling Restaurant Reservations to Increase Service Efficiency
Journal of Service Research, May 1, 2008; 10(4): 335 - 346.
[Abstract] [PDF]


Home page
Journal of Service ResearchHome page
R. Rust
A Call for a Wider Range of Service Research
Journal of Service Research, February 1, 2004; 6(3): 211 - 211.
[PDF]