Key Determinants of Value-Based Management for ICT Project Delivery: Insights from Kansei Engineering and Emotion Research
This study explores the key determinants of Value-Based Management (VBM) in Information and Communication Technology (ICT) project delivery, incorporating insights from Kansei Engineering and emotion research. VBM emphasizes optimizing project outcomes to align with organizational strategic goals an...
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my.uniten.dspace-369592025-03-03T15:46:07Z Key Determinants of Value-Based Management for ICT Project Delivery: Insights from Kansei Engineering and Emotion Research Hussein S.S. Rosli N.H.S.M. Ahmad A. 57190949873 59425871300 59425411100 Research and development management Information and Communication Technologies Information and communication technology project Kansei Engineering Key determinants Organisational Project delivery Project outcomes Strategic goals Technology programmes Value-based managements Project management This study explores the key determinants of Value-Based Management (VBM) in Information and Communication Technology (ICT) project delivery, incorporating insights from Kansei Engineering and emotion research. VBM emphasizes optimizing project outcomes to align with organizational strategic goals and stakeholder value. However, traditional approaches often overlook the emotional and psychological aspects influencing user satisfaction and project success. By integrating Kansei Engineering, which focuses on translating users? emotional responses into design elements, the study employed a qualitative method with interview sessions to collect information. Five questions were formulated based on a few relevant works of literature to obtain feedback from the targeted population and a thematic analysis was conducted to analyse the interview data. At the end of this study, the objectives of this research were achieved as the eleven key determinants of value-based management and its contribution toward the successful delivery of ICT projects respectively were identified and practical guidance to improve value-based management in ICT projects was provided. The results suggest that a holistic understanding of user emotions and their translation into project deliverables can lead to more successful and value-driven ICT projects. This study contributes to the field by bridging the gap between emotion research and value-based management, proposing practical strategies for enhancing project delivery in the ICT sector. ? The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. Final 2025-03-03T07:46:07Z 2025-03-03T07:46:07Z 2024 Conference paper 10.1007/978-981-97-9890-2_8 2-s2.0-85210242005 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85210242005&doi=10.1007%2f978-981-97-9890-2_8&partnerID=40&md5=6e028ec37b8bdd539c599de8e917d6dc https://irepository.uniten.edu.my/handle/123456789/36959 2313 CCIS 93 103 Springer Science and Business Media Deutschland GmbH Scopus |
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Research and development management Information and Communication Technologies Information and communication technology project Kansei Engineering Key determinants Organisational Project delivery Project outcomes Strategic goals Technology programmes Value-based managements Project management Hussein S.S. Rosli N.H.S.M. Ahmad A. Key Determinants of Value-Based Management for ICT Project Delivery: Insights from Kansei Engineering and Emotion Research |
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This study explores the key determinants of Value-Based Management (VBM) in Information and Communication Technology (ICT) project delivery, incorporating insights from Kansei Engineering and emotion research. VBM emphasizes optimizing project outcomes to align with organizational strategic goals and stakeholder value. However, traditional approaches often overlook the emotional and psychological aspects influencing user satisfaction and project success. By integrating Kansei Engineering, which focuses on translating users? emotional responses into design elements, the study employed a qualitative method with interview sessions to collect information. Five questions were formulated based on a few relevant works of literature to obtain feedback from the targeted population and a thematic analysis was conducted to analyse the interview data. At the end of this study, the objectives of this research were achieved as the eleven key determinants of value-based management and its contribution toward the successful delivery of ICT projects respectively were identified and practical guidance to improve value-based management in ICT projects was provided. The results suggest that a holistic understanding of user emotions and their translation into project deliverables can lead to more successful and value-driven ICT projects. This study contributes to the field by bridging the gap between emotion research and value-based management, proposing practical strategies for enhancing project delivery in the ICT sector. ? The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. |
author2 |
57190949873 |
author_facet |
57190949873 Hussein S.S. Rosli N.H.S.M. Ahmad A. |
format |
Conference paper |
author |
Hussein S.S. Rosli N.H.S.M. Ahmad A. |
author_sort |
Hussein S.S. |
title |
Key Determinants of Value-Based Management for ICT Project Delivery: Insights from Kansei Engineering and Emotion Research |
title_short |
Key Determinants of Value-Based Management for ICT Project Delivery: Insights from Kansei Engineering and Emotion Research |
title_full |
Key Determinants of Value-Based Management for ICT Project Delivery: Insights from Kansei Engineering and Emotion Research |
title_fullStr |
Key Determinants of Value-Based Management for ICT Project Delivery: Insights from Kansei Engineering and Emotion Research |
title_full_unstemmed |
Key Determinants of Value-Based Management for ICT Project Delivery: Insights from Kansei Engineering and Emotion Research |
title_sort |
key determinants of value-based management for ict project delivery: insights from kansei engineering and emotion research |
publisher |
Springer Science and Business Media Deutschland GmbH |
publishDate |
2025 |
_version_ |
1825816124094152704 |
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13.244413 |