工业工程 ›› 2015, Vol. 18 ›› Issue (4): 9-15.

• 专题论述 • 上一篇    下一篇

基于Stackelberg博弈的软件提供商竞争策略:SaaS vs.SWS

  

  1. (1.河北大学 管理学院,河北 保定 071002; 2.南开大学 商学院, 天津 300071)
  • 出版日期:2015-08-30 发布日期:2015-10-15
  • 作者简介:郭海玲(1983-),女,河北省人,讲师,博士,主要研究方向为IT服务供应链.
  • 基金资助:

     国家自然科学基金资助项目 (71172072)

Competitive Strategies of Software Vendors Based on Stackelberg Game: SaaS vs. SWS

  1. (1. School of Management, Hebei University, Baoding 071002, China;
    2. Business School, Nankai University, Tianjin 300071, China)
  • Online:2015-08-30 Published:2015-10-15

摘要: 为了明晰企业用户对网络存储数据敏感性行为、企业用户转移成本、软件市场网络外部性特征及不同软件交付模式SaaS和SWS的差异对软件提供商竞争策略的影响,从消费者效用角度入手,构建了基于Stackelberg博弈的SWS提供商与SaaS提供商竞争模型。通过采用比较静态分析方法,揭示了外生变量变化对模型均衡解的影响。研究结果表明:存储数据敏感型企业用户比例、转移成本、SaaS模式下企业用户实施成本、竞争双方网络外部性强度的提高对SaaS提供商将会产生不利影响;而前两个外生变量的提高对SWS提供商具有正向的促进作用。同时,考虑到两种模式下企业用户实施成本差异以及SWS自身网络外部性强度对其均衡利润的作用会受到转移成本阈值的影响,因此,对SWS提供商而言,不能一味地降低其客户实施成本或提高自身网络外部性强度。

关键词: 转移成本, 网络外部性, 数据敏感性, 软件即服务(SaaS), 传统套装软件(SWS)

Abstract: In order to clarify the effects of customer′s behavior about the stored data-sensitive, the switching cost, the network externality, the product differentiation between SaaS(software as a service) and SWS (shrink-wrap sofftware) on the competitive strategies of software vendors, a competitive model between SaaS vendor and SWS vendor based on stackelberg game is constructed from the perspective of consumer utility.  A comparative statics analysis is presented to show how changes in exogenous variables affect the equilibrium solution. The results show that the proportion of stored datasensitive customer, switching cost, customer′s implementation cost of SaaS, the intension of network externality of the two parities have a negative effect on SaaS vendor, while the first two exogenous variables have a positive effect on SWS. But as the role of customer′s implementation cost differentiation between SaaS and SWS and the intension of network externality of SWS on the profits of SWS will be subject to a cutoff value of switching cost, it is proposed that SWS vendor can not blindly decrease the implementation cost or increase the intension of network externality.

Key words: switching cost, network externality, datasensitive, software as a service(SaaS), shrinkwrap software (SWS)