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http://dx.doi.org/10.21219/jitam.2020.27.4.021

A Study of E-commerce-based Capabilities of Small Firms with Cloud Computing Techniques  

Zhou, Xuesong (Department of Business Administration, Kangwon National University)
Kim, Kyung-Tae (Department of Business Administration, Kangwon National University)
Publication Information
Journal of Information Technology Applications and Management / v.27, no.4, 2020 , pp. 21-36 More about this Journal
Abstract
E-commerce represents the acquisition and sale, or the transmission of funds or data through an electronic platform. E-commerce is a paradigm shift that influences marketers and customers to improve current market processes. The significant challenges in e-commerce are the accuracy and performance factors during a business transaction, which has been substantially enhanced using Cloud Computing Techniques (CCT). The growth of e-commerce management has been increased due to massive internet penetration, and particularly small and emerging companies are increasingly using this alternative as a differentiated business model. E-commerce has significant environmental impacts and highly utilized in today's market scenario. Further, the replacement has not been thoroughly explored. Current research has been carried out to describe the e-commerce scenario to analyze market trends. This study further discusses the essential variables to the performance of market models for e-commerce. For example, e-procurement of products/services, electronic supply chain management, e-distribution and selling support (supplier connections, e-fulfilment) and online e-auctions (transactional) can represent important e-commerce capabilities, which can contribute to marketing strategy implementation effectiveness, resulting in higher export performance.
Keywords
E-Commerce; Cloud Computing; Electronic Network; Business Intelligent; Market Performance;
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1 Sandu, N. and Gide, E., "A Model for Successful Adoption of Cloud-Based Services in Indian SMEs", In 2019 7th International Conference on Future Internet of Things and Cloud(FiCloud), IEEE, 2019, pp. 169-174.
2 Sohaib, O., Naderpour, M., Hussain, W., and Martinez, L., "Cloud computing model selection for e-commerce enterprises using a new 2-tuple fuzzy linguistic decision- making method", Computers and Industrial Engineering, Vol. 132, 2019, pp. 47-58.   DOI
3 Song, Z., Sun, Y., Wan, J., Huang, L., and Zhu, J., "Smart e-commerce systems : current status and research challenges", Electronic Markets, Vol. 29, No. 2, 2019, pp. 221-238.   DOI
4 Srinivasan, K., Mubarakali, A., Alqahtani, A. S., and Kumar, A. D., "A Survey on the Impact of DDoS Attacks in Cloud Computing : Prevention, Detection and Mitigation Techniques", In Intelligent Communication Technologies and Virtual Mobile Networks, Springer, Cham, 2019, pp. 252-270.
5 Yang, Q., Lu, R., Rong, C., Challal, Y., Laurent, M., and Wang, S., "Guest Editorial The Convergence of Blockchain and IoT : Opportunities, Challenges and Solutions", IEEE Internet of Things Journal, Vol. 6, No. 3, 2019, pp. 4556-4560.   DOI
6 Agrawal, N. and Tapaswi, S., "Defense mechanisms against DDoS attacks in a cloud computing environment : Stateof-the-art and research challenges", IEEE Communications Surveys and Tutorials, Vol. 21, No. 4, 2019, pp. 3769-3795.   DOI
7 Albelaihi, A. and Khan, N., "Top Benefits and Hindrances to Cloud Computing Adoption in Saudi Arabia : A Brief Study", Journal of Information Technology Management, Vol. 12, No. 2, 2020, pp. 107-122.
8 Ali, O., Shrestha, A., Chatfield, A., and Murray, P., "Assessing information security risks in the cloud : A case study of Australian local government authorities", Government Information Quarterly, Vol. 37, No. 1, 2020.
9 Amalina, F., Hashem, I. A., Azizul, Z. H., Fong, A. T., Firdaus, A., Imran, M., and Anuar, N. B., "Blending big data analytics : Review on challenges and a recent study", IEEE Access, Vol. 8, 2019, pp. 3629-3645.   DOI
10 Aversa, J., Hernandez, T., and Doherty, S., "Spatial Big Data and Business Location Decision-Making : Opportunities and Challenges", In Regional Intelligence, Springer, Cham, 2020, pp. 205-224.
11 Barenji, A. V., Wang, W. M., Li, Z., and Guerra-Zubiaga, D. A., "Intelligent E-commerce logistics platform using hybrid agent based approach", Transportation Research Part E : Logistics and Transportation Review, Vol. 126, 2019, pp. 15-31.   DOI
12 Behl, A., Dutta, P., Lessmann, S., Dwivedi, Y. K., and Kar, S., "A conceptual framework for the adoption of big data analytics by e-commerce startups : a casebased approach", Information Systems and e-Business Management, Vol. 17, No. 2, 2019, pp. 285-318.   DOI
13 Chauhan, S. S., Pilli, E. S., Joshi, R. C., Singh, G., and Govil, M. C., "Brokering in interconnected cloud computing environments : A survey", Journal of Parallel and Distributed Computing, Vol. 133, 2019, pp. 193-209.   DOI
14 Fakhfakh, F., "Performance and Correctness of Mobile Cloud Computing Systems : Taxonomy and Open Challenges", In 2019 15th International Wireless Communications and Mobile Computing Conference (IWCMC) IEEE, 2019, pp. 1019-1024.
15 Fu, M., Chen, Q., Lin, W., Wang, P., and Zhang, W., "Constructing a Scene-Based Knowledge System for E-Commerce Industries : Business Analysis and Challenges", Data Intelligence, Vol. 1, No. 3, 2019, pp. 224-237.   DOI
16 Ghosh, A., Gupta, S., Dua, A., and Kumar, N., "Security of Cryptocurrencies in blockchain technology : State-of-art, challenges and future prospects", Journal of Network and Computer Applications, 2020.
17 Ismagilova, E., Hughes, L., Dwivedi, Y. K., and Raman, K. R., "Smart cities : Advances in research-An information systems perspective", International Journal of Information Management, Vol. 47, 2019, pp. 88-100.   DOI
18 Gill, S. S. and Buyya, R., "Resource provisioning based scheduling framework for execution of heterogeneous and clustered workloads in clouds : from fundamental to autonomic offering", Journal of Grid Computing, Vol. 17, No. 3, 2019, pp. 385-417.   DOI
19 Gourisaria, M. K., Samanta, A., Saha, A., Patra, S. S., and Khilar, P. M., "An Extensive review on cloud Computing", In Data Engineering and Communication Technology, Springer, Singapore, 2020, pp. 53-78.
20 Hassan, M. K., El Desouky, A. I., Elghamrawy, S. M., and Sarhan, A. M., "Big data challenges and opportunities in healthcare informatics and smart hospitals", In Security in smart cities : Models, applications, and challenges, Springer, Cham, 2019, pp. 3-26.
21 Khanna, A. and Kaur, S., "Evolution of Internet of Things(IoT) and its significant impact in the field of Precision Agriculture", Computers and Electronics in Agriculture, Vol. 157, 2019, pp. 218-231.   DOI
22 Nino, H. A. C., Nino, J. P. C., and Ortega, R. M., "Business intelligence governance framework in a university : Universidad de la costa case study", International Journal of Information Management, Vol. 50, 2020, pp. 405-412.   DOI
23 Kumar, Y., Kaul, S., and Sood, K., "A Comprehensive View of Different Computing Techniques-A Systematic Detailed Literature Review", In International Conference on Advances in Engineering ScienceManagement and Technology (ICAESMT), Uttaranchal University, Dehradun, India, 2019.
24 Lwakatare, L. E., Raj, A., Bosch, J., Olsson, H. H., and Crnkovic, I., "A taxonomy of software engineering challenges for machine learning systems : An empirical investigation", In International Conference on Agile Software Development, Springer, Cham, 2019, pp. 227-243.
25 Manral, B., Somani, G., Choo, K. K. R., Conti, M., and Gaur, M. S., "A systematic survey on cloud forensics challenges, solutions, and future directions", ACM Computing Surveys(CSUR), Vol. 52, No. 6, 2019, pp. 1-38.