• 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