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Behavior of Organizational Agents on Managing Information Technology

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Intelligent Computing (SAI 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 857))

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Abstract

Improving the impact of information technology (IT) investments is potentially beneficial for our society. This study identifies triggers which influence behavior of organizational agents on managing IT. In scope of this study are the portfolio decisions regarding where to invest the IT euro, the management of IT projects and the management of the IT infrastructure. Following the theory of planned behavior, it is shown for controllers of Dutch organizations that ‘intention’ is positively associated with behavior and that ‘subjective norm’ and ‘perceived behavior control’ are positively associated with intention. For portfolio and IT infrastructure management, attitude is also positively associated with intention. Overall it is concluded that the most important levers for behavior for the focus areas are ‘social pressure’ and the explicit confirmation of the agent’s own intention. This is good news since both can be easily influenced without significant monetary investment.

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Author information

Authors and Affiliations

  1. European Center for Digital Transformation, Roermond, The Netherlands

    Mark van der Pas

  2. School of Business and Economics, Maastricht University, Maastricht, The Netherlands

    Rita Walczuch

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  1. Mark van der Pas
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  2. Rita Walczuch
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Correspondence to Mark van der Pas .

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Editors and Affiliations

  1. Faculty of Science and Engineering, Department of Information Science, Saga University, Honjo, Saga, Japan

    Kohei Arai

  2. The Science and Information (SAI) Organization, Bradford, West Yorkshire, UK

    Supriya Kapoor

  3. The Science and Information (SAI) Organization, Bradford, West Yorkshire, UK

    Rahul Bhatia

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van der Pas, M., Walczuch, R. (2019). Behavior of Organizational Agents on Managing Information Technology. In: Arai, K., Kapoor, S., Bhatia, R. (eds) Intelligent Computing. SAI 2018. Advances in Intelligent Systems and Computing, vol 857. Springer, Cham. https://doi.org/10.1007/978-3-030-01177-2_57

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