Leveraging Artificial Intelligence to Enhance Workplace Mentoring and Employee Outcomes in Pharmaceutical Marketing
DOI:
https://doi.org/10.69968/ijisem.2024v3si2126-128Keywords:
Artificial Intelligence, Workplace Mentoring, Employee Outcomes, Pharmaceutical Marketing, Employee Performance, AI-driven MentoringAbstract
The pharmaceutical marketing industry is characterized by its complexity, stringent regulatory environment, and the need for highly skilled employees. Effective mentoring plays a critical role in the development of these employees, leading to improved job performance and satisfaction. However, traditional mentoring approaches often face challenges, including time constraints, the availability of mentors, and the scalability of mentoring programs. This research explores the potential of Artificial Intelligence (AI) to enhance workplace mentoring, particularly within pharmaceutical marketing, and its subsequent impact on employee outcomes. We discuss AI's role in personalizing mentoring, facilitating knowledge transfer, and improving mentoring scalability. The paper also presents insights from existing literature demonstrating AI's positive influence on employee performance, satisfaction, and retention rates in the pharmaceutical marketing sector. Tables and figures illustrate key findings and trends, providing a comprehensive view of AI's transformative potential in mentoring
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Copyright (c) 2024 Shailendra Nath Tripathi, Mohani Shankar
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