E-Commerce Trend Analysis and Management for Industry 5.0 using User Data Analysis

Authors

  • Ahmad Y. A. Bani Ahmad Department of Accounting and Finance Science, Faculty of Business, Middle East University, Amman 11831, Jordan
  • Taviti Naidu Gongada Assistant Professor, Department of Operations, GITAM School of Business, GITAM (Deemed to be University), Visakhapatnam, Andhra Pradesh, India
  • Gitanjali Shrivastava Assistant Professor, Department of Law, Symbiosis Law School, Pune, India
  • Raviraj Singh Gabbi Associate Professor, Department of Civil Engineering, R.C.E.T, Bhilai, Chhattisgarh, India
  • Shaziya Islam Associate Professor, Department of Computer Science and Engineering, Rungta College of Engineering and Technology, Bhilai, Chhattisgarh, India
  • Komatigunta Nagaraju Assistant Professor, Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, India

Keywords:

Industry 5.0, e-commerce, data normalization, data transformation, data processing, exploratory data analysis

Abstract

Advanced technology, vast data volumes, and changing customer habits are transforming e-commerce in Industry 5.0. This technical document examines Industry 5.0's effects on e-commerce and its significant changes. The document begins with a fascinating look of Industry 1.0 to 4.0 and the disruptive impact of Industry 5.0. It shows how cyber-physical systems, cybernetics, and historical capitalist patterns shape the new e-commerce scenario due to Industry 5.0. The next sections discuss cutting-edge data normalization, transformation, and processing approaches for Industry 5.0's massive data volumes. Topological data analysis and interactive data exploration tools are introduced to modernize exploratory data analysis, an essential part of data-driven decision-making. Multidimensional descriptive statistics can interpret complex e-commerce user data. Augmented reality data visualisation and multimodal data fusion are shown to communicate insights from massive datasets visually and intuitively. E-commerce enterprises using user data analysis to transform operations and consumer experiences are featured in case studies, providing lessons and best practices. Ethics in data analysis emphasize the relevance of data handling. Data scientists' duties in a data-rich and technologically advanced ecosystem are growing in Industry 5.0. This document concludes with a vision for Industry 5.0 e-commerce. It celebrates AI, blockchain, and IoT as transformational forces, tempered with ethical issues and data scientists' changing roles. These comprehensive insights will helps electronic commerce companies navigate Industry 5.0 with agility, informed decisions, and a strong commitment to customer trust and data ethics.

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Published

06.09.2023

How to Cite

Ahmad, A. Y. A. B. ., Gongada, T. N. ., Shrivastava, G. ., Gabbi, R. S. ., Islam, S. ., & Nagaraju, K. . (2023). E-Commerce Trend Analysis and Management for Industry 5.0 using User Data Analysis. International Journal of Intelligent Systems and Applications in Engineering, 11(11s), 135–150. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/3441

Issue

Vol. 11 No. 11s (2023)

Section

Research Article

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