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Governance and Assessment Insights in Information Technology: the Val IT Model

Author

Listed:
  • Rosa Lombardi

    (Link Campus University)

  • Manlio Giudice

    (Link Campus University)

  • Andrea Caputo

    (University of Lincoln)

  • Federica Evangelista

    (University of Cassino and Southern Lazio)

  • Giuseppe Russo

    (University of Cassino and Southern Lazio)

Abstract

The purpose of this paper is the investigation of the relationship between information technology and value creation. In doing so, the paper presents a conceptual framework based on the Val IT model. This framework can assist companies in the selection, implementation and optimisation of IT investments to create long-term value. The paper is based on a qualitative approach with the inclusion of a single-method approach. Research is developed according to the study of national and international literature. Following an initial analysis of existing literature on the evaluation of company investments, research has been conducted through the Val IT method to assess these intangible assets. The sources of research are secondary in nature (documents, reports, newspaper articles, papers and scientific books). This methodology emphasises the connection between the modern services created in the knowledge economy and the application of new technologies, especially in the field of Information Technology. Val IT is a governance framework for creating business value from IT investments. It allows companies to increase the possibility of selecting investments with a high potential of value creation, as well as with a greater possibility of success in executing, creating, strengthening and using these services.

Suggested Citation

  • Rosa Lombardi & Manlio Giudice & Andrea Caputo & Federica Evangelista & Giuseppe Russo, 2016. "Governance and Assessment Insights in Information Technology: the Val IT Model," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 7(1), pages 292-308, March.
    • Handle: RePEc:spr:jknowl:v:7:y:2016:i:1:d:10.1007_s13132-015-0328-6
    DOI: 10.1007/s13132-015-0328-6
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    2. S. M. Riad Shams & Zhanna Belyaeva, 2019. "Quality Assurance Driving Factors as Antecedents of Knowledge Management: a Stakeholder-Focussed Perspective in Higher Education," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 10(2), pages 423-436, June.
    3. Hasan, Rajibul & Shams, Riad & Rahman, Mizan, 2021. "Consumer trust and perceived risk for voice-controlled artificial intelligence: The case of Siri," Journal of Business Research, Elsevier, vol. 131(C), pages 591-597.
    4. Domitilla Magni & Ottorino Morresi & Alberto Pezzi & Domenico Graziano, 2022. "Defining the Relationship Between Firm’s Performance and Delisting: Empirical Evidence of Going Private in Europe," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 13(3), pages 2584-2605, September.

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