Acceso usuarios
David Oyekunle
, David Boohene
Purpose: The integration of Artificial Intelligence (AI) into business operations has become a pivotal driver of innovation and efficiency. This research paper explores the multifaceted landscape of AI implementation in businesses, examining the benefits of AI implementation.
Theoretical Framework: The methodology adopted for this research comprises Semi-structured interviews with six key stakeholders’ executives, AI project managers, and digital transformation staff. Six additional globally businesses were chosen for case studies based on AI adoption maturity and digital transformation performance. Additionally, a qualitative content study of AI and digital transformation literature was conducted.
Results and Discussion: The study revealed that as businesses continue to integrate AI, a balanced approach considering workforce implications is crucial to realizing the full potential of AI. The study also found out that the adoption of Artificial Intelligence in business is a nuanced process shaped by a confluence of factors. Organizational leadership, culture, resource availability, perceived benefits, regulatory considerations, data security, technology evaluation, and workforce readiness all play intricate roles. Thus, a holistic understanding of these factors empowers organizations to navigate the complex space of AI adoption, unlocking its transformative potential.
Research Implications: The study's findings have many practical implications to businesses adoption of AI. AI, managers must promote innovation and adaptability. AI implementation requires human and technology capital. To reduce AI risks, legal and data security measures must be followed. To prepare employees for an AI-enabled workplace, organizations should adopt comprehensive training and development programs. Businesses may overcome AI implementation challenges and capitalize on its disruptive potential by addressing these five pragmatic elements.
Originality and Value: This study contributes to the literature by offering insights into the nuanced landscape of AI adoption in businesses, emphasizing the crucial role of workforce considerations. It provides a comprehensive understanding of the multifaceted factors shaping AI implementation. The relevance and value of this research are evidenced by the holistic approach and contributes valuable guidance for organizations navigating the complexities of AI adoption, fostering innovation and efficiency while prioritizing workforce integration.
