Intention to Use Blockchain Technologies: Evidence from Two Regions — ASEAN and Middle-East

Pc Lai, Evelyn B. H. Toh, M. R. H. Polas and M. I. Tabash
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Evelyn B. H. Toh: ��Department of Marketing Strategy and Innovation, Sunway Business School, Sunway University, Malaysia
M. R. H. Polas: ��Department of Business Administration, Sonargaon University (SU), Bangladesh
M. I. Tabash: �College of Business, Al Ain University, UAE

International Journal of Innovation and Technology Management (IJITM), 2023, vol. 20, issue 08, 1-29

Abstract: This study presents an empirically well-versed picture of the intention to use blockchain technologies. Empirical evidence from two different regions — ASEAN and Middle-East (ME) — reveals factors that lead managers to use blockchain technology. Samples of 268 and 224 from two response groups were collected using a Likert-based questionnaire. The proposed model was tested using structural equation modeling with SmartPLS 3.2.9. Results confirm that the design of platforms has positive and significant relationships with consumers’ intention to use blockchain technologies. Furthermore, positive and significant relationships were also found between perceived usefulness and perceived ease of use with consumers’ intention to use blockchain technologies. Our results also indicate that perceived ease of use had a positive and significant effect on perceived usefulness. So far, there is limited standard relationship found between perceived ease of use and consumers’ intention to use blockchain technologies in the data from the ASEAN region. This study contributes to the evidence-based view on the effect of intention to use blockchain technology, on the roles of design, perceived ease of use, and perceived usefulness through proposing a novel framework. It adds to the field of technology acceptance studies by providing fresh insights among managers. The paper also emphasizes practical implications for business leaders who wish to capitalize on BT’s advantages in the industry.

Keywords: Blockchain technology adoption; Intention; UTAUT model (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1142/S0219877023500499

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