Identifying Key Predictors of ICT Volunteering Behavior: A Focus on Motivational and Technological Drivers

Citation

Che Azemi, Nur Amanina and Cheah, Chew Sze (2025) Identifying Key Predictors of ICT Volunteering Behavior: A Focus on Motivational and Technological Drivers. In: The Digital Edge: Transforming Business Systems for Strategic Success. Springer Nature, pp. 941-951.

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10.1007/978-3-031-95280-7_81 - Published Version
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Abstract

In Malaysia, the increase in internet user has transformed the digital landscape of volunteerism. The development of digital technology has provided opportunities for Malaysians to extend their societal contribution in other remote regions of the country. Understanding the importance of ICT volunteering is essential for creating impactful volunteer experiences and fostering a strong relationship between volunteers and organizations. Although community involvement, especially among young people, is important, there is a lack of research on the motivating factors and technological influence that drive ICT volunteering in Malaysia. The study identifies knowledge acquisition and personal enhancement motivations from the Volunteer Functions Inventory (VFI) as well as performance expectancy and effect expectancy to identify the technology effect from UTAUT. A total 209 respondents participated in this study and the self-administered questionnaires were employed as a primary data collection method. The structural and measurement models for the constructs were examined using partial least squares (PLS), a structural equation modeling technique. Findings of this study reveal that effort expectancy and personal enhancement are predicting behavioral intention predominantly and behavioral intention strongly influence the ICT volunteering.

Item Type: Book Section
Uncontrolled Keywords: Effort expectancy, ICT Volunteering, personal enhancement
Subjects: Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science
Divisions: Faculty of Business (FOB)
Depositing User: Nurin Syazwani Azmi
Date Deposited: 03 Dec 2025 08:06
Last Modified: 03 Dec 2025 08:06
URII: http://shdl.mmu.edu.my/id/eprint/14946

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