Abstract
AbstractLooking merely from the neoclassical perspective, cloud computing is price effective. However, according to institutional and transaction cost economics, cloud customers should estimate other costs beyond the price. Such costs may not be known to cloud customers, leading to unmet expectations and implementation challenges. The aim of this paper is to study transaction costs of cloud computing from the customer perspective to make the cloud journey less cloudy, i.e. more informed and well planned. This paper applies transaction cost theory to cloud computing through a 360-degree industry analysis. Expert interviews with vendor, customer and consultancy sides were conducted to understand costs associated with cloud computing. Findings were validated through a case study. Findings of this research indicate that cloud has high ‘asset specificity’ due to change management costs, meta services costs and business process reengineering costs. Cloud also has a considerable level of ‘uncertainty’ asking for managing contracts, investing in cloud-specific monitoring solutions and consciously reviewing of the legal compliance. Finally, cloud has high ‘transaction frequency’, which compensates for the needed investments triggered by ‘uncertainty’ and ‘asset specificity’.
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Software
Reference61 articles.
1. Aggarwal, S., & McCabe, L. (2009). The Compelling TCO Case for Cloud Computing in SMB and Mid-Market Enterprises. Hurwitz-Whitepaper. URL: http://www.accessiontechnology.com/resources/documents/accountingsoftware/netsuite/white-paper-TCO-of-cloud-computing.pdf. Accessed 29 Apr 2010.
2. Anselmi J, Ardagna D, Lui J, Wierman A, Xu Y, Yang Z (2017) The economics of the cloud. ACM Trans Model Perform Eval Comput Syst 2(4):18
3. Araujo J, Maciel P, Andrade E, Callou G, Alves V, Cunha P (2018) Decision making in cloud environments: an approach based on multiple-criteria decision analysis and stochastic models. J Cloud Comput 7(1):7
4. Armbrust M, Fox A, Griffith R, Joseph AD, Katz R, Konwinski A et al (2010) A view of cloud computing. Commun ACM 53(4):50–58
5. Assunção MD, Calheiros RN, Bianchi S, Netto MA, Buyya R (2015) Big data computing and clouds: trends and future directions. J Parallel Distributed Comput 79:3–15
Cited by
30 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献