DocumentCode
1765893
Title
Analyzing the Economies of Scale of Software as a Service Software Firms: A Stochastic Frontier Approach
Author
Chunmian Ge ; Ke-Wei Huang
Author_Institution
Dept. of Financial Manage., South China Univ. of Technol., Guangzhou, China
Volume
61
Issue
4
fYear
2014
fDate
Nov. 2014
Firstpage
610
Lastpage
622
Abstract
Software as a Service (SaaS) has been one of the fastest-growing delivery models in the software industry. The industry´s trade press often considers economies of scale as the main benefit of SaaS firms, because information technology management and the associated resources are centralized at the SaaS vendors. However, centralized information technology management also requires the associated cost of expanding the firm´s IT infrastructure to serve more customers. Intuitively, it is not necessary that the former effect must dominate the latter. Using public firm-level data from Compustat, this study attempts to analyze the economies of scale of SaaS firms relative to their traditional counterparts by using the stochastic frontier analysis (SFA) approach. Our empirical findings suggest SaaS firms have smaller economies of scale than traditional software firms. By utilizing the technical efficiency score obtained from SFA, we further examine the effects of R&D expense and advertising expense on technical efficiency. The analysis suggests that R&D expense, not the advertising expense, could be the cause of smaller economies of scale at SaaS firms.
Keywords
DP industry; cloud computing; economies of scale; information management; research and development; stochastic processes; Compustat; R&D; SFA approach; SaaS software firm; SaaS vendor; centralized information technology management; centralized resource; economies of scale; firm IT infrastructure; public firm level data; software as a service; software industry; stochastic frontier analysis; technical efficiency; Economies of scale; Productivity; Research and development; Software as a service; Productivity analysis; R&D expense; R&D expense; software as a service (SaaS); software industry; stochastic frontier analysis (SFA);
fLanguage
English
Journal_Title
Engineering Management, IEEE Transactions on
Publisher
ieee
ISSN
0018-9391
Type
jour
DOI
10.1109/TEM.2014.2359975
Filename
6919277
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