A Conceptual Model of E-Commerce Taxation Using a Circular Model for E-Commerce Sustainability

Authors

  • Somkeit Noamna Technology of Information System Management Division, Faculty of Engineering, Mahidol University, Thailand https://orcid.org/0000-0001-8390-7609
  • Supaporn Kiattisin Technology of Information System Management Division, Faculty of Engineering, Mahidol University, Thailand https://orcid.org/0000-0002-7776-643X

DOI:

https://doi.org/10.13052/jmm1550-4646.16126

Keywords:

E-Commerce taxation principles, E-Commerce diffusion, ICT development index (IDI), structural equation modelling (SEM), circular model for E-Commerce sustainability (CMES)

Abstract

E-Commerce tax is among the most crucial factors affecting E-Commerce growth and information and communication technology, including playing a vital role in facilitating the global commerce market. This study aimed to investigate the relationship between ICT development by using the ICT development index (IDI) and E-Commerce diffusion is an effect on E-Commerce taxation principles. The paper was proposed as a new approach and initiatives for implementing E-Commerce development through the circular model for E-Commerce sustainability (CMES). The online questionnaires for the survey were used to gather data via social media, i.e. Facebook, Line and Instagram. The data were gathered from a sample of 308 people who sell products and services through online commerce in Thailand. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were used to validate and measure the construction of the questionnaires. The relationship among the ICT development index, E-Commerce diffusion and the E-Commerce taxation principles was proved to apply successfully to the structural equation modelling (SEM) technique. The results showed that the ICT development index (IDI) has a positive influence on E-Commerce diffusion and E-Commerce taxation principles. Further, the results indicated that E-Commerce diffusion has a positive effect on E-Commerce taxation principles, and hence are significant.

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Author Biographies

Somkeit Noamna, Technology of Information System Management Division, Faculty of Engineering, Mahidol University, Thailand

Somkeit Noamna received his B.Sc. degree in computer science from the Payap University, Thailand in 2003. He also received the M.Eng. degree in industrial engineering from the Chiang Mai University in 2013. He is currently the Lecturer of Modern Management Information Technology, College of Arts, Media and Technology, Chiang Mai University, Thailand. He is currently a Ph.D. student in Technology of Information System Management. His areas of research interests include information technology management, production management and computer for production management.

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

Supaporn Kiattisin received her 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 from the King Mongkut’s University of Technology Thonburi, Bangkok, Thailand, in 1998, and 2006, respectively. She is currently the programme director of Technology of Information System Management Division, Faculty of Engineering, Mahidol University, Thailand. Her research interests include 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 certification. She is a member of the IEICE and TESA. She served as a Head of the IEEE Thailand Chapter in Biomedical Engineering. She also served as the Chairman of the TimesSOC Transaction Thailand. She has expertise in enterprise architecture (EA), data sciences, information technology in E-government and digital economy (DE).

References

OECD, ‘Addressing the Tax Challenges of the Digital Economy, Action 1–2015’, Final Report, OECD/G20 Base Erosion and Profit Shifting Project, OECD Publishing, Paris, 2015.

Y. Xiang, Y. Ling, ‘The Research on Chinese Taxation Policies Based on E-Commerce Model Classification’, 2009 Second International Symposium on Electronic Commerce and Security. Vol. 1, pp. 431–434, 2009.

E.W.T. Ngai, A. Gunasekaran, ‘A review for mobile commerce research and applications’, Decision Support Systems, Vol. 43, pp. 3–15, 2007.

P. E. Kourouthanassis, G. M. Giaglis, ‘Introduction to the Special Issue Mobile Commerce: The Past, Present, and Future of Mobile Commerce Research’, International Journal of Electronic Commerce, Vol. 16(4), pp. 5–18, 2014.

M. Palil, ‘The Effect of E-Commerce on Malaysian Tax System: An Empirical Evidence from Academicians and Malaysian Tax practitioner’, Journal Akuntansi & Keuangan, Vol. 6, No. 1, pp. 1–9, 2004.

J. Chung, V. Chen, B. Sub, A. Widjaja, ‘Facebook C2C social commerce: A study of online impulse buying’, Decision Support Systems, Vol. 83, pp. 57–69, 2016.

K. Laudon, C. Traver, ‘E-Commerce 2016 business – technology – society’, Pearson Education Limited, twelfth Edition, 2016.

Z. Huang, M. Benyoucef, ‘From E-Commerce to social commerce: A close look at design features’, Electronic Commerce Research and Applications, Vol. 12, pp. 246–259, 2013.

Q. Yan, S. Wu, L. Wang, P. Wu, H. Chen, G. Wei, ‘E-WOM from E-Commerce websites and social media: Which will consumers adopt?’, Electronic Commerce Research and Applications, Vol. 17, pp. 62–73, 2016.

D. Agrawal, W. Fox, ‘Taxes in an E-Commerce generation’, International Tax Public Finance, Vol. 24, pp. 903–926, 2017.

R. Jones, S. Basu, ‘Taxation of Electronic Commerce: A Developing Problem’, International Review of Law, Computers & Technology, Vol. 16, No. 1, pp. 35–52, 2010.

A. Field, ‘The proportion of Thai government revenue 2018’, Retrieved June 25, 2018, Website: http://www.fpo.go.th.

K. Kanungnij, ‘Digital Economy Acceleration’, The National Defense College of Thailand Journal, Vol. 59, No. 2, 2017.

J. Gibbs, K. Kraemer, J. Dedrick, ‘Environment and Policy Factors Shaping Global E-Commerce Diffusion: A Cross-Country Comparison’, The Information Society, Vol. 19, pp. 5-18, 2003.

K. Zhu, ‘The Complementarity of Information Technology Infrastructure and E-Commerce Capability: A Resource-Based Assessment of Their Business Value’, Journal of Management Information Systems, Vol. 21, No. 1, pp. 167–202, 2014.

M. Choshin, A. Ghaffari, ‘An investigation of the impact of effective factors on the success of E-Commerce in small- and medium-sized companies’, Computers in Human Behavior, Vol. 66, pp. 67–74, 2016.

A. Ayanso, D. Cho, K. Lertwachara, ‘Information and Communications Technology Development and the Digital Divide: A Global and Regional Assessment’, Information Technology for Development, Vol. 20, No. 1, pp. 60–77, 2013.

OECD, ‘Electronic Commerce: Taxation Framework Conditions’, A Report by the Committee on Fiscal Affairs, 1998.

R. Azam, ‘E-Commerce Taxation in China’, Journal of Chinese Tax & Policy, Vol. 3, Issue 1, pp. 10–20, 2013.

Y. Pinanong, ‘Internet Taxation’, The Secretariat of the House of Representatives Thailand, 2018.

Tax Policy Bureau, Fiscal Policy Office Thailand, ‘Taxation in digital economy’, Tax Policy Journal, Vol.55, Edition 1, 2015.

S. Simon, ‘Critical Success Factors for Electronic Services: Challenges for Developing Countries’, Journal of Global Information Technology Management, Vol. 7(2), pp. 31–53, 2014.

B. Yapara, S. Bayrakdara, M. Yaparb, ‘The Role of Taxation Problems on the Development of Ecommerce’, Procedia - Social and Behavioral Sciences, Vol. 195, pp. 642–648, 2015.

C. Jing, ‘Taxation of E-Commerce in China: applying US experience’, International Conference on Social Science and Technology Education (ICSSTE 2015), pp. 663–665, 2015.

C. Alley, D. Bentley, ‘A remodelling of Adam Smith’s tax design principles’, Faculty of Law at ePublications@bond, Bond University, 2005.

R. Neumanna, J. Holmana, J. Almb, ‘Globalization and tax policy’, North American Journal of Economics and Finance, Vol. 20, pp. 193–211, 2009.

K. Kodchasila, ‘Digital Economy Acceleration’, The National Defence College of Thailand Journal, Vol. 59, No. 2, 2017.

H. Gruber. (2019) ‘Proposals for a digital industrial policy for Europe’, Telecommunications Policy, Vol. 43, Issue 2, pp. 116–127, 2019.

ICT Development Index, International Telecommunication Union, Geneva, Switzerland, pp. 22, 2009.

K.H. Huarng, ‘A comparative study to classify ICT developments by economies’, Journal of Business Research, pp. 1174–1177, 2011.

M. Dobrota, V. Jeremic, A. Markovic, ‘A new perspective on the ICT Development Index’, Information Development, Vol. 28 (4), pp. 271–280, 2012.

J. James, ‘The ICT Development Index and the digital divide: How are they related?, Technological Forecasting & Social Change, pp. 587–594, 2012.

A. Wilson1, U. David, E. Beatrice, O. Mary, ‘How telecommunication development aids economic growth: Evidence from ITU, ICT development Index (IDI) top five countries for African region’, International Journal of Business, Economics and Management, Vol. 1, No. 2, pp. 16–28, 2014.

S. Malisuwan, D. Milindavanij, J. Sivaraks, N. Tiamnara, ‘A Modified Model of ICT Development Index (IDI) for Thailand to Achieve the ICT Leader in Asian’, International Journal of Advanced Research in Engineering and Technology, Vol. 6, Issue 12, pp. 39–48, 2015.

A. Petrot’czi, E. Aidman, ‘Measuring explicit attitude toward doping: Review of the psychometric properties of the Performance Enhancement Attitude Scale’, Psychology of Sport and Exercise, Vol. 10, pp. 390–396, 2008.

I. Yurdakul, H. Odabasi, K. Kilicer, A. Coklar, G. Birinci, A. Kurt, ‘The development, validity and reliability of TPACK-deep: A technological pedagogical content knowledge scale’, Computers & Education, Vol. 58, pp. 964–977, 2012.

J. Nunnally, H. Bernstein, ‘Psychometric theory’, New York: McGraw-Hill, 1994.

R. Henson, J. Roberts, ‘Use of exploratory factor analysis in published research common errors and some comment on improved practice’, Educational and Psychological Measurement, Vol. 66(3), pp. 393–416, 2006.

J. Pohlmann, ‘Use and interpretation of factor analysis in The Journal of Educational Research’. The Journal of Educational Research, Vol. 98(1), pp. 14–23, 2004.

M. Browne, R. Cudeck, ‘Alternative ways of assessing model fit: Testing Structural Equation Models’, pp. 136–162, 1993.

J. Hair, W. Black, B. Babin, R. Anderson, ‘Multivariate data analysis. Upper Saddle River’, NJ: Prentice Hall, 2009.

V. Sethi, M. S. Tandon, K. Dutta, ‘A path model of antecedents of green purchase behaviour among Indian consumers’, Int. J. Public Sector Performance Management, Vol. 4, No. 1, pp. 21–44, 2018.

S. Omar, S. Jayasingam, R. A. Bakar, ‘Does positive organisational behaviour and career commitment lead to work happiness?’, Int. J. Business Excellence, Vol. 19, No. 1, pp. 44–64, 2019.

S. Tanin, ‘SPSS & AMOS’, Vol. 7, pp. 540–541, 2017.

R. Schumacker, R. Lomax, ‘A beginner’s guide to structural equation modelling (3rd Edition)’, New Jersey: Lawrence Erlbaum Associates, 2010.

W.G. Cochran, ‘Sampling Techniques. 3rd Edition’, John Wiley & Sons, New York, 1997.

I. K. Yurdakul, H. F. Odabasi, K. Kilicer, A. N. Coklar, G. Birinci, A. A. Kurt, The development, validity and reliability of TPACK-deep: A technological pedagogical content knowledge scale’, Computers & Education, Vol. 58, pp. 964–977, 2012.

W. H. Delone, E. R. McLean, ‘The DeLone and McLean Model of Information Systems Success:A Ten-Year Update’, Journal of Management Information Systems, Vol. 19 (4), pp. 9–30, 2003.

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Published

2020-08-17

How to Cite

Noamna, S., & Kiattisin, S. (2020). A Conceptual Model of E-Commerce Taxation Using a Circular Model for E-Commerce Sustainability. Journal of Mobile Multimedia, 16(1-2), 103–130. https://doi.org/10.13052/jmm1550-4646.16126

Issue

2020: Vol 16 Iss 1-2

Section

Smart Innovative Technology for Future Industry and Multimedia Applications

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