MODEL OF IMPLEMENTATION OF ELECTRONIC COMMERCE TECHNOLOGIES
DOI:
https://doi.org/10.28925/2663-4023.2023.22.2042013Keywords:
electronic commerce; technology implementation model; information and communication technology; e-commerce value chain; entityAbstract
The article distinguishes the classification of types and forms of e-commerce depending on the relations between the parties involved, as well as on the types of enterprises carrying out commercial activities. The analyzed studies of the correlation between the transition to electronic commerce and the growth of the productivity of the economic entity allowed us to conclude that there is no single approach to the impact of the introduction of information and communication technologies on the results of the enterprise. The technological factors of e-commerce implementation at small and medium-sized enterprises are considered, including: organizational flexibility, external pressure, perceived ease of use and perceived usefulness. The model of technological implementation of electronic commerce is based on the research of K. Fleisher, which analyzes such important aspects of the business entity's activity as: technological, which characterizes the firm, existing and future technologies; organizational, which refers to the size of the firm and its field of activity, organizational structure and internal resources, environmental aspect, which refers to the area where the company exists, which refers to industries, competitors and existing relations with the government. The model is supplemented with such elements as the use of electronic data exchange, relationships with business partners, obstacles and risks. The question of the process of implementing e-commerce is considered from a practical point of view as an important competitive tool for domestic companies, which is increasingly characterized by the absence of borders, internationalization and the so-called "technological liquidity". The essential reasons for the introduction of electronic commerce technologies by domestic enterprises are highlighted. The value chain process in e-commerce is considered. A value chain is a business model that describes a company by breaking down a series of activities that add value or cost at each stage of the process. It was noted that large companies show a greater tendency to develop fragmented value chains without an adequate industrial relations system depending on their business model. There are large differences in the assessment of the impact of the introduction of e-commerce on the labor market
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References
UNCTAD. Information economy report 2015: Unlocking the Potential of E- commerce for Developing Countries. UN. 2015 https://unctad.org/system/files/official-document/ier2015_en.pdf
Wang, Y., & SHI, X. (2011). Thrive, not just survive: Enhance dynamic capabilities of SMEs through IS competence. Journal of Systems and Information Technology, 13(2), 200-222. https://doi.org/10.1108/13287261111136016.
Ocha M.L. Factors that influence adoption and frequency of use of e- commerce by micro and small enterprises in Ksiumu, Kenia. MBA Research Project. University of Nairobi. 2011 http://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/13001
Chubaievskyi, V., Lakhno, V., Kryvoruchko, O., Kasatkin, D., Desiatko, A., & Blozva, A. (2021). EFFICIENCY OF THE INDICATORS INVESTMENT CALCULATION METHOD IN THE INFORMATION SECURITY SYSTEM OF INFORMATION OBJECTS. Electronic Professional Scientific Edition «Cybersecurity: Education, Science, Technique», 4(12), 96–107. https://doi.org/10.28925/2663-4023.2021.12.96107
United Nations Conference on Trade and Development (UNCTAD), ECommerce and Development Report, in Internet http://unctad.org/en/pages/publications/E-Commerce-and-Development Report-(Series).aspx
OECD, An action plan for electronic commerce, in Internet all’indirizzo http://www.oecd.org/development/electroniccommerce.htm
Stockdale, R. And Standing, C. (2006), "A classification model to support SME e‐commerce adoption initiatives", Journal of Small Business and Enterprise Development, Vol. 13 No. 3, pp. 381-394. https://doi.org/10.1108/14626000610680262
Lawrence J. and Tar U. (2010) Barriers to e-commerce in developing counties. Information, Society and Justice. 3(1): 23–35.
Lakhno, V., Mazaraki, A., Kasatkin, D., Kryvoruchko, O., Khorolska, K., Chubaievskyi, V. (2023). Models and Algorithms for Optimization of the Backup Equipment for the Intelligent Automated Control System Smart City. In: Ranganathan, G., Fernando, X., Rocha, Á. (eds) Inventive Communication and Computational Technologies. Lecture Notes in Networks and Systems, vol 383. Springer, Singapore. https://doi.org/10.1007/978-981-19-4960-9_57
Grandon E. and Pearson J. Electronic commerce adoption: An empirical study of small and medium US business. Information and Management. 42: 197–216. 2004. https://doi.org/10.1016/j.im.2003.12.010
Cockfield, Arthur and Hellerstein, Walter and Lamensch, Marie, Taxing Global Digital Commerce (December 1, 2019). Taxing Global Digital Commerce, ISBN 978-90-411-6709-5, 2020, Available at SSRN: https://ssrn.com/abstract=3515446
Kryvoruchko, O., Desiatko, A., Karpunin, I., Hnatchenko, D., Lakhno, M., Malikova, F., & Turdaliev, A. (2023). Cognitive Modeling and Formation of the Knowledge Base of the Information System for Assessing the Rating of Enterprises. International Journal of Electronics and Telecommunications, 697-705. DOI: 10.24425/ijet.2023.147690
Martens B. What does economic research tell us about cross-border e- commerce in the EU digital single market? JRC-IPTS working paper on the digital economy. No 2013-04, Institute of Prospective Technological Studies, Joint Research Center. 2013 https://dx.doi.org/10.2791/83255
Lakhno, V., Akhmetov, B., Mohylnyi, H., Blozva, A., Chubaievskyi, V., Kryvoruchko, O., Desiatko, A. Multi-criterial optimization composition of cyber security circuits based on genetic algorithm (2022) Journal of Theoretical and Applied Information Technology, 100 (7), pp. 1996-2006. https://www.jatit.org/volumes/Vol100No7/3Vol100No7.pdf
Khorolska, K., Lazorenko, V., Bebeshko, B., Desiatko, A., Kharchenko, O., Yaremych, V. (2022). Usage of Clustering in Decision Support System. In: Raj, J.S., Palanisamy, R., Perikos, I., Shi, Y. (eds) Intelligent Sustainable Systems. Lecture Notes in Networks and Systems, vol 213. Springer, Singapore. https://doi.org/10.1007/978-981-16-2422-3_49
Lakhno, V., Akhmetov, B., Smirnov, O., Chubaievskyi, V., Khorolska, K., Bebeshko, B. (2023). Selection of a Rational Composition of İnformation Protection Means Using a Genetic Algorithm. In: Rajakumar, G., Du, KL., Vuppalapati, C., Beligiannis, G.N. (eds) Intelligent Communication Technologies and Virtual Mobile Networks. Lecture Notes on Data Engineering and Communications Technologies, vol 131. Springer, Singapore. https://doi.org/10.1007/978-981-19-1844-5_2
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