• DocumentCode
    1785258
  • Title

    Service Value Modeling: A Systematic Method to Unveil the Business Value of Industry Solutions

  • Author

    Guang-Jie Ren ; Nakamura, Yoshihiko ; Ludwig, Heiko

  • Author_Institution
    IBM Almaden Res. Center, San Jose, CA, USA
  • fYear
    2014
  • fDate
    23-25 April 2014
  • Firstpage
    82
  • Lastpage
    89
  • Abstract
    There is a growing demand in the business-to-business environment for solutions that cater for specific industry needs as opposed to those for generic purposes. In response, technology vendors have gradually shifted their focus to industry solutions. More often than not, however, industry solutions are highly technical and complex, making it difficult for vendors to articulate the business impact and, as such, for customers to justify the investment. Although existing work provides a set of relevant building blocks for value modeling, they are yet to form an integrated approach. In recognizing the gap, this paper proposes Service Value Modeling (SVM), a systematic, step-wise method to connect industry solutions with business outcomes through the use of customer-specific business architecture. The SVM method is illustrated by two practical examples to show how exactly an industry solution affects the customer´s operations and makes a positive impact on its performance. It was found that, with SVM, technology vendors are more likely to gain competitive advantage in both sales and delivery stages.
  • Keywords
    business data processing; customer services; value engineering; SVM method; business outcomes; business-to-business environment; customer operations; customer-specific business architecture; industry solutions; service value modeling; systematic step-wise method; technology vendors; Cities and towns; Economics; Industries; Measurement; Organizations; Support vector machines; business architecture; business value; industry solution; value model; value modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Conference (SRII), 2014 Annual SRII
  • Conference_Location
    San Jose, CA
  • Type

    conf

  • DOI
    10.1109/SRII.2014.21
  • Filename
    6879669