OPTIMIZING PROJECT MANAGEMENT STRATEGIES FOR ELECTRIC VEHICLE ADOPTION: EXAMINING THE S-O-R MODEL TO UNDERSTAND THE NEXUS BETWEEN PERCEIVED VALUE, PERCEIVED RISK, AND CONSUMER PURCHASE INTENTION

Authors

Keywords:

Project Management Strategies, Electric Vehicle Adoption, Consumer Purchase Intention, Perceived Value, Stimulus-organism-response

Abstract

This academic study explores the complexities of Electric Vehicle (EV) adoption through an analysis of customer intentions and behaviours. Using behavioural theories and innovation adoption models, it investigates how project management practices, perceived value, and risk influence the intentions-adoption relationship. Data from 313 Chinese consumers were analysed using Stata software, assessing variables such as intention to purchase EVs, perceived value and risk, adoption behaviours, and project management strategies. The results confirm a strong correlation between intention and actual adoption, emphasizing the role of project management in translating intentions into actions. Perceived value significantly moderates EV adoption decisions, highlighting the importance of promoting EV benefits. These findings have implications for policymakers, industry stakeholders, and EV marketers, emphasizing the need for strategic interventions to shape attitudes towards EVs and foster sustainable transportation solutions

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Published

2024-04-05

How to Cite

Yan Wang, Nan Jiang, Kay Tze Hong, Harpaljit Kaur, & Mei Kei Leong. (2024). OPTIMIZING PROJECT MANAGEMENT STRATEGIES FOR ELECTRIC VEHICLE ADOPTION: EXAMINING THE S-O-R MODEL TO UNDERSTAND THE NEXUS BETWEEN PERCEIVED VALUE, PERCEIVED RISK, AND CONSUMER PURCHASE INTENTION. The Journal of Modern Project Management, 11(3), 86–101. Retrieved from https://journalmodernpm.com/manuscript/index.php/jmpm/article/view/713

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