Affiliation:
1. Department of Computer Engineering, Indira College of Engineering & Management, Pune, Maharashtra., India
2. Institute of Computer & Information Science, Srinivas University, Mangalore, India
3. Institute of Business Management & Commerce, Srinivas University, Mangalore, India
Abstract
Purpose: Integration of ICCT underlying technologies and big data technology to develop a new kind of Business analytics that can be used to solve semi-structured and unstructured problems of various industry sectors i.e., primary, secondary, tertiary, and quaternary industry sectors. The new study is known as Tech-business analytics (TBA). The goal of this study is to better understand the idea of TBA and how it influences a company's innovation outcomes.
Design/Methodology/Approach: The originality of business analytics products/services in many industries is based on how business analytics is directly influenced by data-driven culture, but product/service importance is influenced indirectly by environmental scanning, which is further influenced by the usage of ICCT underlying technologies. Through a comprehensive review, analysis of the existing state, anticipating ideal/desired status, identifying research gaps, and analysing of research objectives in business analytics, this have developed a new concept of Tech-Business Analytics in this work. The paper also examines the importance of Business Analytics (BA) and how to predict the importance and applications of projected business analytics in future business sectors using the ABCD analytical framework.
Findings/Result: This review based a new concept of integrated technology that combines ICCT underlying technologies with big data leads to a new model of tech-business analytics for improving the performance of different industry sectors. With all the resources, templates, technologies, opportunities, and capabilities of integrating Data science with other ICCT underlying technologies, Tech-business analytics will a paradigm shifter with a lot of potentials in solving industrial problems.
Originality/Value: The new model of tech-business analytics is developed which is a review-based new concept opportunity for improving Industry Performance in Various Industries. A generic architecture is also developed, which looks at Tech Business Analytics in Primary, Secondary, Tertiary, and Quaternary industry sectors and is useful for research for technical efficiency improvement purposes.
Paper Type: Exploratory research.
Cited by
24 articles.
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1. Tech-Business Analytics in the Circular Economy;International Journal of Management, Technology, and Social Sciences;2024-05-30
2. Tech-Business Analytics in Blue Economy;International Journal of Applied Engineering and Management Letters;2024-05-16
3. Quantitative ABCD Analysis: Indian Household and Personal Care Sector;International Journal of Case Studies in Business, IT, and Education;2024-05-04
4. Tech Business Analytics in Quaternary Industry Sector;International Journal of Case Studies in Business, IT, and Education;2024-04-19
5. Enhancing Supply Chain Management in Small-Medium Enterprises through Business Intelligence: A Conceptual Model Approach;2024-04-16