Work

The transformative impact of generative Artificial Intelligence: a cross case comparison – supporting change

Year: 2024

Type: dissertation

Abstract: This work project investigates the integration of generative AI (GenAI) in organisations, focusing on effective change management (CM), employee engagement, and assessing productivity gains. Through qualitative interviews and a quantitative survey across industries, it analyses challenges and opportunities in GenAI adoption. The study identifies best practices to foster innovation, enhance job satisfaction, and ensure seamless workflow integration. Key findings underscore the importance of tailored approaches, including leadership engagement, clear communication, and continuous training to address GenAI’s complexities. By offering actionable insights, the research aims to guide organisations in leveraging GenAI’s transformative potential while remaining adaptable to its rapid evolution.

Source: Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)

Author: Krause, Sarah Luisa

Language: English

Topic: Corporate Management and Leadership

Subfield: Organizational Behavior and Human Resource Management

Field: Business, Management and Accounting

Domain: Social Sciences

SDG: Decent work and economic growth

Open Access status: green

Funder: Fundação para a Ciência e a Tecnologia

Awards: G1516346500, G3257768443, G3821169523, Nova School of Business and Economics, Nova School of Business and Economics, G946021960

OpenAlex ID: W6997141085

Cites: 67

Cited by:

Related to: 10