Abstract
Cloud computing is a rising type of service system in today’s IT world. In this paper we try to design an appropriate contract to coordinate a cloud computing service supply chain with asymmetric information. Our study is based on the SaaS model proposed by Demirkan et al. in 2010, which consists of one application infrastructure provider (AIP) and one application service provider (AIP). However, the assumption of complete information in their model is far from realistic. So we assume that ASP processes private information about its user’s delay cost. Through numerical analysis, we find that if restricted only by a simple wholesale-price contract, ASP has an incentive to overstate user’s delay cost to obtain a lower rental price from AIP. Therefore, we apply another two contracts—revenue-sharing contract and cost-based pricing policy—to solve the problem and only find that the former is invalid. The latter, on the other hand, works well for AIP to coordinate the supply chain even with incomplete information about terminal market.
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References
Demirkan H, Goul M. Introduction to the cloud service science and systems minitrack. In: Proceedings of the 46th Hawaii international conference on system sciences. IEEE; 2013. p. 1015.
Demirkan H, Cheng HK. The risk and information sharing of application services supply chain. Eur J Oper Res. 2008;187(3):65–784.
Demirkan H, Cheng HK, Subhajyoti B. Coordination strategies in an SaaS supply chain. J Manage Inform Syst. 2011;26(4):119–43.
Mendelson H. Pricing computer services: queuing effects. Commun ACM. 1985;28(3):312–21.
Kern T, Willcocks LP, Lacity MC. Application service provision: risk assessment and mitigation. MIS Quar Exec. 2002;1(2):113–26.
Balachandran KR, Radhakrishnan S. Cost of congestion, operational efficiency and management accounting. Eur J Oper Res. 1996;89(2):237–45.
Balachandran KR, Radhakrishnan S. Service capacity decision and incentive compatible cost allocation for reporting usage forecasts. Eur J Oper Res. 2004;157(1):180–95.
Akan M, Lariviere BM. Asymmetric information and economies of scale in service contracting. Manuf Serv Oper Manage. 2011;13(1):58–72.
Gan X, Sethi SP, Zhou J. Commitment-penalty contracts in drop-shipping supply chains with asymmetric demand information. Eur J Oper Res. 2010;204(3):449–62.
Babich V, Li H, Ritchken P, Wang Y. Contracting with asymmetric demand information in supply chains. Eur J Oper Res. 2012;217(2):333–41.
Li X, Liao X, Liu Y. Research on service supply chain coordination based on SaaS model. Chin J Manage Sci. 2013;21(2):98–106. In Chinese.
Acknowledgments
This work was supported by Beijing Natural Science Foundation (4122052) and by Engineering Research Center of Information Networks, Ministry of Education.
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Wei, L., Ling, J., Zhou, X. (2015). Coordination Strategy in an SaaS Supply Chain with Asymmetric Information About the Market. In: Wong, W. (eds) Proceedings of the 4th International Conference on Computer Engineering and Networks. Lecture Notes in Electrical Engineering, vol 355. Springer, Cham. https://doi.org/10.1007/978-3-319-11104-9_96
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DOI: https://doi.org/10.1007/978-3-319-11104-9_96
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-11103-2
Online ISBN: 978-3-319-11104-9
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