A S-D Logic Based Approach to Input-Output Analysis for Technology Spillover

Technology spillovers can generate positive effects on industries which have been an important issue within the production based (or goods-dominant logic) disciplines, such as in the manufacture industries. The input-output analysis has been considered as a good way to explore and measure the effects of technology spillover. Nevertheless, in the current service-economics and experience era, service industries play an essential role and thus the spread of the service technologies would also become an important topic to investigate. The service-dominant logic (so-called S-D logic) underlying the service industries emphasizes customer involvement that however was not regarded in the traditional input-output analysis approach. Consequently, this paper aims to present an S-D logic based approach of the analysis in order to systematically explore and measure the effects of technology spillover in services. Furthermore, this paper uses a case study to demonstrate the contributions of the approach and its anticipated impacts to service innovation.

[1]  Bart Verspagen,et al.  R&D spillovers and productivity: Evidence from U.S. manufacturing microdata , 2000 .

[2]  Stephen L. Vargo,et al.  Evolving to a New Dominant Logic for Marketing , 2004 .

[3]  Stephen L. Vargo,et al.  The Four Service Marketing Myths , 2004 .

[4]  Ali Yakhlef,et al.  Customer involvement in new service development: a conversational approach , 2004 .

[5]  Bart Los,et al.  Externalities of R&D Expenditures , 2002 .

[6]  B. Uzzi,et al.  Knowledge spillover in corporate financing networks: embeddedness and the firm's debt performance , 2002 .

[7]  Erik Dietzenbacher,et al.  Interregional Multipliers: Looking Backward, Looking Forward , 2002 .

[8]  Paul P. Maglio,et al.  The service system is the basic abstraction of service science , 2009, Inf. Syst. E Bus. Manag..

[9]  Stephen L. Vargo,et al.  Service-dominant logic: continuing the evolution , 2008 .

[10]  Soe-Tsyr Yuan,et al.  Using System Dynamics to Analyze Customer Experience Design , 2010, Int. J. Serv. Sci. Manag. Eng. Technol..

[11]  Bart Los,et al.  The empirical performance of a new inter-industry technology spillover measure , 2000 .

[12]  Peter R. Magnusson,et al.  Managing User Involvement in Service Innovation , 2003 .

[13]  Jon Sundbo Management of Innovation in Services , 1997 .

[14]  Manfred M. Fischer,et al.  Total Factor Productivity Effects of Interregional Knowledge Spillovers in Manufacturing Industries Across Europe , 2009 .

[15]  Stephen L. Vargo,et al.  The Service-Dominant Mindset , 2008 .

[16]  Stephen L. Vargo,et al.  From goods to service(s): Divergences and convergences of logics , 2008 .

[17]  Erik Dietzenbacher,et al.  Spillovers of Innovation Effects , 2000 .

[18]  Ulrich Kaiser Measuring knowledge spillovers in manufacturing and services: an empirical assessment of alternative approaches , 2002 .

[19]  T. Bresnahan Measuring the Spillovers from Technical Advance: Mainframe Computers inFinancial Services , 1986 .