Behavior of Organizational Agents on Managing Information Technology

Mark van der Pas*, Rita Walczuch

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

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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.
Original languageEnglish
Title of host publicationIntelligent Computing
Subtitle of host publicationProceedings of the 2018 Computing Conference
EditorsKohei Arai, Supriya Kapoor, Rahul Bhatia
PublisherSpringer
Pages774-788
Number of pages15
Volume2
ISBN (Electronic)978-3-030-01177-2
ISBN (Print)978-3-030-01176-5
DOIs
Publication statusPublished - 2019

Publication series

SeriesAdvances in Intelligent Systems and Computing
Number857
ISSN2194-5357

Keywords

  • benefits management
  • information technology
  • life cycle management
  • project management
  • project portfolio management
  • theory of planned behavior
  • Life cycle management
  • EFFICACY
  • Benefits management
  • Project management
  • Project portfolio management
  • PROJECT PORTFOLIO MANAGEMENT
  • ADOPTION
  • TIME
  • MODEL
  • Information technology
  • Theory of planned behavior
  • ATTITUDES
  • INTENTION
  • SYSTEMS

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