Success Factors for Conceptual Digital Voting Model

Authors

  • Danai Dabpimjub Technology of Information System Management Division, Faculty of Engineering, Mahidol University, Thailand
  • Supaporn Kiattisin Technology of Information System Management Division, Faculty of Engineering, Mahidol University, Thailand

DOI:

https://doi.org/10.13052/jmm1550-4646.2042

Keywords:

Blockchain Technology, Digital Voting, Electronic Voting, Voting Technology, Success Factor

Abstract

With the advancement of technology in the digital age, blockchain technology has evolved into a technology critical to delivering secure and reliable decentralized applications. An application that has brought blockchain technology is elections to close the gap in traditional elections for transparency and credibility However, in COVID-19, bringing this technology to change elections allows access to all citizens to be able to vote. This research uses a structural equation model (SEM) questionnaire to explore the success factors of election implementation using blockchain technology was analysed from 400 voters who responded to the questionnaire using Mplus Version 7. This research has prepared a conceptual model supporting the effecting factors in implementing an election system using blockchain technology with voters The researcher has created an electoral system using blockchain technology that is readily available. Technology acceptance factor and credibility were utilized from the voters’ point of view in 9 Factors. Those interested in applying the model to improve elections using blockchain technology can study to improve elections. In addition, Conceptual model ideas were used to develop a model for acceptance and trust in elections using blockchain technology.

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Author Biographies

Danai Dabpimjub, Technology of Information System Management Division, Faculty of Engineering, Mahidol University, Thailand

Danai Dabpimjub is a Ph.D. student in Information Technology Management at Mahidol University, Nakhon Pathom, Thailand. He holds a Bachelor of Business in Computer Business from Sripatum University in Bangkok (2003–2005) and a Master of Science (M.S.) in Information and Communication Technology Management from the University of the Thai Chamber of Commerce in Bangkok (2010-2012). A seasoned information and communication technology (ICT) management professional, I have held key roles as a Department Manager and Senior Specialist in Back Office System and Enterprise Application Maintenance at Kingpower. My pivotal contributions in steering the development of expansive consumer and enterprise applications underscore expertise in web and mobile technologies. I am proficient in cutting-edge technologies such as Blockchain and AI, which he has successfully implemented to drive continuous organizational development.

Supaporn Kiattisin, Technology of Information System Management Division, Faculty of Engineering, Mahidol University, Thailand

Supaporn Kiattisin received the B.Eng. degree in applied computer engineering from the Chiang Mai University, Chiang Mai, Thailand, in 1995, the M.Eng. degree in electrical engineering and the Ph.D. degree in electrical and computer engineering form King Mongkut’s University of Technology Thonburi, Bangkok, Thailand, in 1998, and 2006. She is currently the program director of Information Technology Management, Faculty of Engineering, Mahidol University, Thailand. Her research interests include mobile application, skills and competency, computer vision, image processing, robot vision, signal processing, pattern recognition, artificial intelligence, IoT, IT management, digital technologies, big data and enterprise architecture with TOGAF 9 certified. She is a member of IEICE and TESA. She served as a Head of IEEE Thailand Chapter in Bio Medical Engineering. She also served as the Chairman of the TimesSOC Transaction Thailand.

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Published

2024-10-01

How to Cite

Dabpimjub, D., & Kiattisin, S. (2024). Success Factors for Conceptual Digital Voting Model. Journal of Mobile Multimedia, 20(04), 785–820. https://doi.org/10.13052/jmm1550-4646.2042

Issue

2024: Vol 20 Iss 4

Section

ECTI

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