Harnessing Artificial Intelligence in Business: A Qualitative Exploration of Strategic Implementation and Organizational Impact
DOI:
https://doi.org/10.5281/zenodo.13387063%20Abstract
Background: The rapid evolution of Artificial Intelligence (AI) has introduced unprecedented opportunities and challenges for businesses across various sectors.
Purpose: This study aims to explore the strategic implementation of AI in business, identify the challenges organizations face during AI adoption, assess the impact of AI on business operations and workforce dynamics, and examine the ethical and regulatory considerations associated with AI use.
Methods: A qualitative research design was employed, involving semi-structured interviews with 20 participants from various industries, including manufacturing, retail, finance, healthcare, and technology. Thematic analysis was used to identify key themes related to AI implementation, challenges, and impacts.
Results: The study identified several key themes: the alignment of AI initiatives with business strategy, the significant investment required in AI infrastructure, challenges such as high costs and resource constraints, and the impact of AI on workforce dynamics and operational efficiency. Ethical considerations, including data privacy and algorithmic bias, emerged as critical concerns, while participants expressed optimism about AI's future role in business.
Conclusion: The findings highlight the need for a strategic approach to AI adoption, emphasizing alignment with business goals, careful resource allocation, workforce development, and adherence to ethical and regulatory standards. Businesses that invest in these areas will be better positioned to leverage AI's full potential and navigate the complexities of AI integration.
Keywords: Artificial Intelligence, Business Strategy, Workforce Dynamics, Ethical Considerations, AI Adoption Challenges
References
AlHarthy, S. H., Mansour, A. M., Al-Mahmoodi, W., Ibrahim, R., Ayaad, O., & Al-Baimani, K. (2024). Referral Process Enhancement: Innovative Approaches and Best Practices. Asian Pacific Journal of Cancer Prevention: APJCP, 25(5), 1691.
AL-Ruzzieh, M. A., Al Rifai, A., & Ayaad, O. (2022). Organisational citizenship behaviour in the healthcare workplace: A scoping review. British Journal of Healthcare Management, 28(6), 1-7.
Al-Ruzzieh, M. A., Ayaad, O., & Qaddumi, B. (2022). The role of e-health in improving control and management of COVID 19 outbreak: current perspectives. International Journal of Adolescent Medicine and Health, 34(4), 139-145.
Ayaad, O. (2024). Exploring Outsourcing Practices in Jordanian Hospitals: Benefits, Challenges, and Strategic Insights. International Journal of Art, Social, and Managerial Sciences, 1(1), 19–26. Retrieved from https://sobraj.com/index.php/ijasms/article/view/10
Ayaad, O., & Çelik, Y. (2024). Outsourcing in Health Sector: Concept Analysis. Yalloo Journal for Health Sciences, 1(1), 12–17. https://doi.org/10.5281/zenodo.13331378.
Ayaad, O., Al-Ruzzieh, M. A., Qaddumi, B., Al Hroub, A., Ayyad, M., Abuseif, S., & Çelik, Y. (2022). Outsourcing services in the healthcare sector: balancing risks and benefits. British Journal of Healthcare Management, 28(3), 96-103.
Qaddumi , B. (2024). The Relationship Between Factors, The Use Of Electronic Collaborative Tools, And Team Effectiveness. International Journal of Art, Social, and Managerial Sciences, 1(1), 32–39. Retrieved from https://sobraj.com/index.php/ijasms/article/view/12
Brock, J.K.-U., & von Wangenheim, F. (2019). Demystifying AI: What Digital Transformation Leaders Can Teach You about Realistic Artificial Intelligence. California Management Review, 61(1), 110–134.
Kar, S., Kar, A.K., & Gupta, M.P. (2021). Modeling Drivers and Barriers of Artificial Intelligence Adoption: Insights from a Strategic Management Perspective. Intelligent Systems in Accounting, Finance and Management, 28(3), 217–238.
Kitsios, F., & Kamariotou, M. (2021). Artificial Intelligence and Business Strategy towards Digital Transformation: A Research Agenda. Sustainability, 13(4), 2025.
Sharikh, E. A., Shannak, R., Suifan, T., & Ayaad, O. (2020). The impact of electronic medical records' functions on the quality of health services. British Journal of Healthcare Management, 26(2), 1-13.
Trunk, A., Birkel, H., & Hartmann, E. (2020). On the Current State of Combining Human and Artificial Intelligence for Strategic Organizational Decision Making. Business Research, 13(3), 875–919.
van de Wetering, R., Hendrickx, T., Brinkkemper, S., & Kurnia, S. (2021). The Impact of EA-Driven Dynamic Capabilities, Innovativeness, and Structure on Organizational Benefits: A Variance and FsQCA Perspective. Sustainability, 13(10), 5414
Wamba-Taguimdje, S.-L., Fosso Wamba, S., Kala Kamdjoug, J.R., & Tchatchouang Wanko, C.E. (2020). Influence of Artificial Intelligence (AI) on Firm Performance: The Business Value of AI-Based Transformation Projects. Business Process Management Journal, 26(6), 1893–1924.
Zhou, K.Z., & Li, C.B. (2010). How Strategic Orientations Influence the Building of Dynamic Capability in Emerging Economies. Journal of Business Research, 63(3), 224–231.
Dar Yafa Publishing House 