A Decision-Making Method for Boosting New Digitalization Technologies

Francisco E. Santarremigia, Sara Poveda-Reyes (), Miguel Hervás-Peralta () and Gemma D. Molero ()
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Francisco E. Santarremigia: AITEC — Parque Tecnológico, C/Charles Robert Darwin, 20, 46980 Paterna, Valencia, Spain
Sara Poveda-Reyes: AITEC — Parque Tecnológico, C/Charles Robert Darwin, 20, 46980 Paterna, Valencia, Spain
Miguel Hervás-Peralta: AITEC — Parque Tecnológico, C/Charles Robert Darwin, 20, 46980 Paterna, Valencia, Spain
Gemma D. Molero: AITEC — Parque Tecnológico, C/Charles Robert Darwin, 20, 46980 Paterna, Valencia, Spain

International Journal of Information Technology & Decision Making (IJITDM), 2021, vol. 20, issue 02, 635-669

Abstract: Market acceptance of new digitalization technologies is low. To help to address this shortcoming, the following paper defines a quantitative decision-making methodology for the exante evaluation of the market acceptance of new digitalization solutions in the initial stages of design and development. The proposed decision-making methodology includes a first evaluation, using Volere methodology, for the quantification of how useful the new digitalization solution is for the end users, and a second method, the calculation of the net present value (NPV) based on potential benefits in terms of costs and intangible benefits of the new tool. A new tool for the management of freight transport was used as a case study. The usefulness of a new information technology tool was assessed in six different companies. It was designed to help developers and decision makers in information and communication technology (ICT) product development, and company managers in the evaluation of technical solutions that might better satisfy their needs. Further studies could measure the power of this methodology by comparing the implementation levels of two different prototypes designed for the same function and with different Volere and NPV scorings.

Keywords: Decision-making method; ICT; digitalization; ASSIST; NPV; Volere (search for similar items in EconPapers)
Date: 2021
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DOI: 10.1142/S0219622021500097

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