<scp>AI</scp> Integration and Strategic Planning: Fostering Inclusivity and Strategic Evolution in the Workplace
ABSTRACT This research explores the symbiotic relationship between effective strategic planning (SP), management relationships (MR), and the integration of artificial intelligence (AI). We collected data from n = 360 participants using a structural equation modeling approach in a quantitative research methodology. Additionally, we conducted a bibliometric analysis focused on AI and the strategic planning process to collect data for our literature review. The resulting framework highlights the evolution and adoption of AI for strategic planning, facilitating the connection between new strategies, particularly in contexts of resistance to change. Our study explores potential disruptions affecting talent retention and loyalty. Findings show that effective integration of AI, supported by strong management practices, reduces employee turnover risks and enhances employee commitment. Employees who actively contribute and believe in this technology tend to embrace a culture of innovation more readily. Moreover, they become more resilient, playing a crucial role in supporting strategic planning efforts, thereby providing benefits for navigating crises and uncovering sustainable strategies. Lastly, theoretical findings suggest that future studies on strategic areas, such as sustainability, HR, performance, and innovation reveal the need to develop a diverse and collaborative workplace culture.
Authors
- David Pascoal Rosado (ORCID: https://orcid.org/0000-0002-3232-0063)
- Ana Gandrita (ORCID: https://orcid.org/0000-0001-7570-6030)
- Daniel Mandel Gandrita (ORCID: https://orcid.org/0000-0002-3577-2954)
Institutions
- Iscte – Instituto Universitário de Lisboa (PT)
- Universidade Europeia (PT)
- Portuguese Military Academy (PT)
Publication Details
- Journal
- Thunderbird International Business Review
- Published
- 2025-09-09
- DOI
- https://doi.org/10.1002/tie.70035
- Citations
- 1
- Primary Topic
- Innovation and Knowledge Management
- Type
- article
- Field-Weighted Citation Impact
- 2.23