Tech-Business Analytics in GIG Economy – A Futuristic Technology Supported Online Business Model
Keywords:
Business Analytics (BA), ICCT underlying technologies, Tech-Business Analytics, TBA, Industry Performance, Data Science, Big Data Analytics, Research gap in Business Analytics, ABCD Listing, Tech business Analytics, Service industry, ICCT, ABCD Analysis, GIG EconomyAbstract
Purpose: Using data-driven insights to optimize operations, boost productivity, and improve the overall experience for service providers (gig workers) and customers is the main goal of tech-business analytics in the gig economy.
Design/Methodology/Approach: Through adherence to this methodology, companies functioning in the gig economy can proficiently utilize tech-business analytics to maximize efficiency, improve client satisfaction, and stimulate enduring expansion and value generation.
Findings/Result: These results demonstrate the substantial influence that tech-business analytics has on a number of gig economy domains, ranging from pricing optimization and workforce management to customer experience improvement and regulatory compliance. Platforms can promote growth, reduce risks, and add value for all parties engaged in the gig economy ecosystem by utilizing data-driven insights.
Originality/Value: Through the adoption of innovative tech-business analytics in the gig economy, platforms can set themselves apart, encourage creativity, and produce long-term benefits for gig workers, clients, and other parties involved in the changing nature of labor.
Paper Type: Exploratory Research on Technology Management.
