Analyzing the Economies of Scale of Software as a Service Software Firms: A Stochastic Frontier Approach

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.

[1]  F. Lichtenberg,et al.  The Impact of R&D Investment on Productivity - New Evidence Using Linked R&D-Lrd Data , 1989 .

[2]  Mathew L. A. Hayward,et al.  Explaining the Premiums Paid for Large Acquisitions: Evidence of CEO Hubris , 1997 .

[3]  J. Alberto Espinosa,et al.  Learning from Experience in Software Development: A Multilevel Analysis , 2007, Manag. Sci..

[4]  Erik Brynjolfsson,et al.  Three-Way Complementarities: Performance Pay, Human Resource Analytics, and Information Technology , 2012, Manag. Sci..

[5]  G. Battese,et al.  A model for technical inefficiency effects in a stochastic frontier production function for panel data , 1995 .

[6]  Shu Lin,et al.  Research Note - Business Value of Information Technology: Testing the Interaction Effect of IT and R&D on Tobin's Q , 2013, Inf. Syst. Res..

[7]  Anitesh Barua,et al.  Contracting Efficiency and New Firm Survival in Markets Enabled by Information Technology , 2011, Inf. Syst. Res..

[8]  Kenneth R. Walsh,et al.  Analyzing the application ASP concept: technologies, economies, and strategies , 2003, CACM.

[9]  M. Lieberman,et al.  Firm-Level Productivity and Management Influence: A Comparison of U.S. and Japanese Automobile Producers , 1990 .

[10]  Jonathan R.W. Temple,et al.  Generalizations that aren't? Evidence on education and growth , 2001 .

[11]  C. Shapiro,et al.  Systems Competition and Network Effects , 1994 .

[12]  Prasanna Tambe,et al.  How offshoring affects IT workers , 2010, Commun. ACM.

[13]  Mingdi Xin,et al.  Software-as-a-Service Model: Elaborating Client-Side Adoption Factors , 2008, ICIS.

[14]  J. Tirole The Theory of Industrial Organization , 1988 .

[15]  Rajiv D. Banker,et al.  A Field Study of Scale Economies in Software Maintenance , 1997 .

[16]  Martin Campbell-Kelly,et al.  Historical reflectionsThe rise, fall, and resurrection of software as a service , 2009, CACM.

[17]  Prasanna Tambe,et al.  The Productivity of Information Technology Investments: New Evidence from IT Labor Data , 2011, Inf. Syst. Res..

[18]  Vidyanand Choudhary,et al.  Comparison of Software Quality Under Perpetual Licensing and Software as a Service , 2007, J. Manag. Inf. Syst..

[19]  Monika Schnitzer,et al.  Public Subsidies for Open Source? Some Economic Policy Issues of the Software Market , 2002 .

[20]  Andrew B. Whinston,et al.  Understanding the Service Component of Application Service Provision: An Empirical Analysis of Satisfaction with ASP Services , 2003, MIS Q..

[22]  Haluk Demirkan,et al.  Coordination Strategies in an SaaS Supply Chain , 2010, J. Manag. Inf. Syst..

[23]  Prasanna Tambe,et al.  The Extroverted Firm: How External Information Practices Affect Innovation and Productivity , 2012, Manag. Sci..

[24]  John Viega,et al.  Cloud Computing and the Common Man , 2009, Computer.

[25]  Hart E. Posen,et al.  Is Failure Good , 2005 .

[26]  Chung-ki Min,et al.  The substitution of information technology for other factors of production: a Firm Level Analysis , 1997 .

[27]  Kemal Altinkemer,et al.  Productivity and Performance Effects of Business Process Reengineering: A Firm-Level Analysis , 2011, J. Manag. Inf. Syst..

[28]  N. Carr The end of corporate computing , 2005 .

[29]  Benjamin B. M. Shao,et al.  Technical efficiency analysis of information technology investments: a two-stage empirical investigation , 2002, Inf. Manag..

[30]  F. Knight Diminishing Returns from Investment , 1944, Journal of Political Economy.

[31]  Arun Sundararajan,et al.  Pricing Digital Goods: Discontinuous Costs and Shared Infrastructure , 2011, Inf. Syst. Res..

[32]  Pei-Yu Sharon Chen,et al.  The Impact and Implications of On-Demand Services on Market Structure , 2013, Inf. Syst. Res..

[33]  Hemant K. Bhargava,et al.  Computing as Utility: Managing Availability, Commitment, and Pricing Through Contingent Bid Auctions , 2004, J. Manag. Inf. Syst..

[34]  Prasanna Tambe,et al.  Now IT's Personal: Offshoring and the Shifting Skill Composition of the U.S. Information Technology Workforce , 2010, Manag. Sci..

[35]  Wendy L. Currie,et al.  Value creation in web services: An integrative model , 2006, J. Strateg. Inf. Syst..

[36]  Lorin M. Hitt,et al.  Productivity, Business Profitability, and Consumer Surplus: Three Different Measures of Information Technology Value , 1996, MIS Q..

[37]  Shanling Li,et al.  Why Do Software Firms Fail? Capabilities, Competitive Actions, and Firm Survival in the Software Industry from 1995 to 2007 , 2010, Inf. Syst. Res..

[38]  Rajiv D. Banker,et al.  Evidence on economies of scale in software development , 1994, Inf. Softw. Technol..

[39]  H. Varian Intermediate Microeconomics: A Modern Approach , 1987 .

[40]  Robert J. Kauffman,et al.  An Interdisciplinary Perspective on IT Services Management and Service Science , 2010, J. Manag. Inf. Syst..

[41]  Jungsoo Park,et al.  The Intensity and Externality Effects of Information Technology Investments on National Productivity Growth , 2007, IEEE Transactions on Engineering Management.

[42]  Vallabh Sambamurthy,et al.  Editorial Notes - The Growth of Interest in Services Management: Opportunities for Information Systems Scholars , 2006, Inf. Syst. Res..

[43]  Fei Ren,et al.  Information Technology and Firm Boundaries: Impact on Firm Risk and Return Performance , 2011, Inf. Syst. Res..

[44]  D. Teece Business Models, Business Strategy and Innovation , 2010 .

[45]  E. Brynjolfsson,et al.  Paradox Lost? Firm-Level Evidence on the Returns to Information Systems Spending , 1996 .

[46]  D. J. Wu,et al.  Investment in Enterprise Resource Planning: Business Impact and Productivity Measures , 2002, J. Manag. Inf. Syst..

[47]  Kunsoo Han,et al.  Information Technology Spillover and Productivity: The Role of Information Technology Intensity and Competition , 2011, J. Manag. Inf. Syst..

[48]  Andrew B. Whinston,et al.  Short-term and long-term competition between providers of shrink-wrap software and software as a service , 2009, Eur. J. Oper. Res..

[49]  Edward E. Leamer,et al.  Econometric Tools for Analyzing Market Outcomes , 2007 .

[50]  Fei Ren,et al.  Risk and Return of Information Technology Initiatives: Evidence from Electronic Commerce Announcements , 2007, Inf. Syst. Res..

[51]  Abraham Seidmann,et al.  The Pricing Strategy Analysis for the "Software-as-a-Service" Business Model , 2008, GECON.

[52]  Stephan Kudyba,et al.  Research Report: Increasing Returns to Information Technology , 2002, Inf. Syst. Res..

[53]  Benjamin B. M. Shao,et al.  Relative Sizes of Information Technology Investments and Productive Efficiency: Their Linkage and Empirical Evidence , 2000, J. Assoc. Inf. Syst..

[54]  Ram L. Kumar,et al.  A theory of application service provider (ASP) use from a client perspective , 2004, Inf. Manag..

[55]  A. U.S.,et al.  FORMULATION AND ESTIMATION OF STOCHASTIC FRONTIER PRODUCTION FUNCTION MODELS , 2001 .

[56]  Hsing Kenneth Cheng,et al.  Optimal pricing policies of web-enabled application services , 2003, Decis. Support Syst..

[57]  W. Meeusen,et al.  Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error , 1977 .

[58]  Robert J. Kauffman,et al.  Returns to Information Technology Outsourcing , 2011 .

[59]  Steven T. Berry,et al.  Chapter 63 Econometric Tools for Analyzing Market Outcomes , 2007 .

[60]  A. Charnes,et al.  Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis , 1984 .

[61]  Bruce Morley Causality between economic growth and immigration: An ARDL bounds testing approach , 2006 .