Demand information sharing in heterogeneous IT services environments

Journal of Management Information Systems

Volumn 26, Issue 4, 2010, Pages 287-316

  Sen, Sagnika ^a   Raghu, T S ^b   Vinze, Ajay ^c  

^a PENNSYLVANIA STATE UNIVERSITY   (United States)

^b ARIZONA STATE UNIVERSITY   (United States)

^c ARIZONA STATE UNIVERSITY   (United States)

Author keywords

Heterogeneous demand; Information sharing; IT services; Pricing

Indexed keywords

DEMAND INFORMATION; DEMAND VARIATIONS; ECONOMIC WELFARE; HETEROGENEOUS DEMAND; INFORMATION ACCURACY; INFORMATION EXCHANGES; INFORMATION SHARING; INFORMATION TECHNOLOGY SERVICES; IT SERVICES; PRICING SCHEME; PRICING STRATEGY; RESOURCE ALLOCATION DECISION; RESOURCE CONSTRAINT; SERVICE LEVEL AGREEMENTS; SERVICE LEVELS;

COSTS; ECONOMICS; INFORMATION RETRIEVAL; INFORMATION TECHNOLOGY; OUTSOURCING;

INFORMATION DISSEMINATION;

EID: 77951280886     PISSN: 07421222     EISSN: None     Source Type: Journal    
DOI: 10.2753/MIS0742-1222260410     Document Type: Article

References (44)

1. Bardhan, I.; Demirkan, H.; Kannan, P.K.; Kauffman, R.J.; and Sougstad, R. An interdisciplinary perspective on IT services management and service science. Journal of Management Information Systems, 26, 4 (Spring 2010), 13-64, this issue.
2. Bhargava, H.K., and Sun, D. Performance-contingent pricing for broadband services. In R.H. Sprague (ed.), Proceedings of the 38th Hawaii International Conference on System Sciences. Los Alamitos, CA: IEEE Computer Society Press, 2005 (available at www.computer.org/ plugins/dl/pdf/proceedings/hicss/2005/2268/ 08/22680211b.pdf?template=1&loginState=1& userData=anonymous- IP%253A%253A71.99.94.194). (Pubitemid 41544200)
3. Bhargava, H.K., and Sundaresan, S. Computing as utility: Managing availability, commitment, and pricing through contingent bid auctions. Journal of Management Information Systems, 21, 2 (Fall 2004), 201-227. (Pubitemid 40119650)
4. Blake, S.; Black, D.; Carlson, M.; Davies, E.; Wang, Z.; and Weiss, W. An architecture for differentiated services. Technical Report, Internet Engineering Task Force (IETF), Fremont, CA, December 1998 (available at www.ietf.org/rfc/rfc2475.txt).
5. Cachon, G.P. Managing supply chain demand variability with scheduled ordering policies. Management Science, 45, 6 (June 1999), 843-856.
6. Cachon, G.P., and Fisher, M. Supply chain inventory management and the value of shared information. Management Science, 46, 8 (August 2000), 1032-1048.
7. Cachon, G.P., and Lariviere, M.A. Contracting to assure supply: How to share demand forecasts in a supply chain. Management Science, 47, 5 (May 2001), 629-646.
8. Calling a change in the outsourcing market: The realities for the world's largest organizations. Technical Report, Deloitte Consulting, New York, 2005.
9. Corbett, C.J.; Zhou, D.; and Tang, C.S. Designing supply contracts: Contract type and information asymmetry. Management Science, 50, 4 (April 2004), 550-560.
10. Demirkan, H., and Cheng, H.K. The risk and information sharing of application services supply chain. European Journal of Operational Research, 187, 3 (June 2008), 765-784. (Pubitemid 350236607)
11. Eldridge, D.S. Repeated games and reputations: Long-run relationships. Economic Record, 84, 264 (Mar 2008), 128-129.
12. Erkoc, M., and Wu, S.D. Managing high-tech capacity expansion via reservation contracts. Production and Operations Management, 14, 2 (Summer 2005), 232-251. (Pubitemid 41452506)
13. Gavirneni, S.; Kapuscinski, R.; and Tayur, S. Value of information of capacitated supply chains. Management Science, 45, 1 (January 1999), 16-24.
14. Gonsalves, A. Time Warner Cable to test metered Internet access. InformationWeek (June 3, 2008) (available at www.informationweek.com/news/ internet/policy/showArticle. jhtml?articleID=208401833).
15. Goolsby, K. How to rebound from a failed outsourcing relationship. Outsourcing Journal (January 2007) (available at www.outsourcing-journal.com/ jan2007-rebound.html).
16. Gross, D., and Harris, C.M. Fundamentals of Queueing Theory. New York: Wiley, 1998.
17. Gupta, A.; Stahl, D.O.; and Whinston, A.B. An economic approach to networked computing with priority classes. Journal of Organizational Computing and Electronic Commerce, 6, 1 (June 1996), 71-95. (Pubitemid 126698604)
18. Gupta, A.; Linden, L.L.; Stahl, D.O.; and Whinston, A.B. Benefits and costs of adopting usage-based pricing in a subnetwork. Information Technology and Management, 2, 2 (April 2001), 175-191.
19. Gupta, A.; Jukic, B.; Li, M.; Stahl, D.O.; and Whinston, A.B. Estimating Internet users' demand characteristics. Computational Economics, 17, 2-3 (June 2001), 203-218. (Pubitemid 32900726)
20. Haviv, M., and Ritov, Y. Externalities, tangible externalities, and queue disciplines. Management Science, 44, 6 (June 1998), 850-859.
21. Jewkes, E.M., and Stanford, D.A. A two priority queue with crossover feedback. Queueing Systems, 43, 1-2 (January-February 2003), 129-146. (Pubitemid 38117762)
22. Keon, N.J., and Anandalingam, G. Optimal pricing for multiple services in telecommunications networks offering quality-of-service guarantees. IEEE Transactions on Networking, 11, 1 (February 2003), 66-80.
23. Konana, P.; Gupta, A.; and Whinston, A.B. Integrating user preferences and real-time workload in information services. Information Systems Research, 11, 2 (June 2000), 177-196.
24. Lee, H.L.; So, K.C.; and Tang, C.S. The value of information sharing in a two-level supply chain. Management Science, 46, 5 (May 2000), 626-646.
25. Li, L. Information sharing in a supply chain with horizontal competition. Management Science, 48, 9 (September 2002), 1196-1212. (Pubitemid 35327248)
26. Litten, K. IT service management: Selecting the right metrics for performance management. White paper, International Network Services, Mountain View, CA, 2004.
27. Luo, S., and Cakanyildirim, M. Pricing and production games under revenue sharing and information updates. Journal of Revenue and Pricing Management, 4, 3 (October 2005), 270-301.
28. Madlberger, M. What drives firms to engage in interorganizational information sharing in supply chain management? International Journal of E-Collaboration, 5, 2 (February 2009), 18-32.
29. Maglaras, C., and Zeevi, A. Pricing and performance analysis for a system with differentiated services and customer choice. In R. Srikant and V.V. Veeravalli (eds.), Proceedings of the 41st Annual Allerton Conference on Communication, Control, and Computing. Monticello, IL, 2003, pp. 1173-1182.
30. Maglaras, C., and Zeevi, A. Pricing and design of differentiated services: Approximate analysis and structural insights. Operations Research, 53, 2 (March-April 2005), 242-262. (Pubitemid 40666157)
31. Mendelson, H. Pricing computer services: Queuing effects. Communications of the ACM, 28, 3 (March 1985), 312-321. (Pubitemid 15599383)
32. Mendelson, H., and Whang, S. Optimal incentive-compatible priority pricing for the M/M/1. Operations Research, 38, 5 (September-October 1990), 870-883.
33. Moorthy, K.S. Market segmentation, self-selection, and product line design. Marketing Science, 3, 4 (Fall 1984), 288-307.
34. Nadiminti, R.; Mukhopadhyay, T.; and Kriebel, C.H. Research report: Intrafirm resource allocation with asymmetric information and negative externalities. Information Systems Research, 13, 4 (December 2002), 428-434. (Pubitemid 36039707)
35. Overby, S. 10 outsourcing trends to watch in 2010. CIO.com (December 17, 2009) (available at www.cio.com/article/511237/10-Outsourcing-Trends-to-Watch- in-2010?page=1& taxonomyId=3000).
36. Ryu, S.; Tsukishima, T.; and Onari, H. A study on evaluation of demand informationsharing methods in supply chain. International Journal of Production Economics, 120, 1 (July 2009), 162-175.
37. Sapiera, J. How SLAs are used. Network Computing (March 21, 2003) (available at www. networkcomputing.com/e-discovery/how-slas-are-used.php).
38. Sen, S.; Raghu, T.S.; and Vinze, A. Demand heterogeneity in IT infrastructure services: Modeling and evaluation of a dynamic approach to defining service level agreements. Information Systems Research, 20, 2 (June 2009), 258-276.
39. Shenker, S.; Clark, D.; Estrin, D.; and Herzog, S. Pricing in computer networks: Reshaping the research agenda. Telecommunications Policy, 20, 3 (April 1996), 183-196. (Pubitemid 126400375)
40. Sleptchenko, A. Multi-class, multi-server queues with non-preemptive priorities. Technical Report 2003-16, EURANDOM (European Institute for Statistics, Probability, Stochastic Operations Research and Its Applications), Eindhoven University of Technology, Eindhoven, Netherlands, 2003.
41. Stanford, D.A. Waiting and interdeparture times in priority queues with Poisson and general arrival streams. Operations Research, 45, 5 (September-October 1997), 725-735.
42. Strategic evolution a global survey of sourcing today. Technical Report, KPMG, Sydney, Australia, 2007.
43. Varian, H. Differential pricing and efficiency. First Monday, 1, 2-5 (August 1996) (available at http://firstmonday.org/htbin/cgiwrap/bin/ojs/index. php/fm/article/viewArticle/473).
44. Wierman, A.; Osogami, T.; and Harchol-Balter, M. Analyzing the effect of prioritized background tasks in multiserver systems. Technical Report CMU-CS-03-213, Computer Science Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, 2003.