View Full Paper

Owner Consent Verified
Case Study 4.8

AIOps and Innovation Diffusion among Gig Workers — A mixed-methods case study

25
Pages
Harvard
Style
~ 26–38 mins
Reading Time
Food Systems InsurTech Cybersecurity
Abstract

This case study investigates “AIOps and Innovation Diffusion among Gig Workers — A mixed-methods case study” using a event study methodology. Through a economic lens, the analysis integrates multi-source data to derive a validated measurement model for researchers and practitioners.

AIOps and Innovation Diffusion among Gig Workers — A mixed-methods case study

ABSTRACT
AIOps and Innovation Diffusion among Gig Workers — A mixed-methods case study is unpacked across themes: security, interoperability, usability, and change enablement. Limitations and future research paths are noted.
1
Related Papers
Browse all
9 Pages 4.8
Pharmacovigilance and Innovation Diffusion among Microfinance Institutions — A agent-based simulation
Marketing FinTech Open Banking
25 Pages 4.9
Impact Investing Adoption in Supply Chain Managers: Governance And Risk — 2023–2027 Trends
Food Systems Tourism UX
8 Pages 4.3
Urban Planning Adoption in City Planners: Policy And Regulation — A Comparative Perspective
Public Policy Sustainability Logistics