Talent acquisition and retention strategy of Kazi Firm Ltd.

Abstract

Kazi Farms Limited, a leading FMCG and agriculture business in Bangladesh, faces challenges in finding qualified blue-collar workers due to the country's expanding economy and agriculture sector. To ensure a competent workforce, the company needs to address gaps in technical expertise and educational attainment. The findings of the study may influence business procedures in Bangladesh, contribute to our knowledge of talent management in the FMCG and agricultural industries, and create new opportunities for attracting and keeping skilled workers. The hiring process is managed by a central HR department. The primary objective of this report is to offer insights into the talent acquisition processes for non-management positions and provide a strategic analysis of critical roles within Kazi Farms Limited. Utilizing a mixed methods approach of qualitative research, including Focus Group Discussions (FGD) and Key Informant Interviews (KII), the research delved into the intricacies of talent acquisition for non management positions and provided a strategic analysis of critical roles within the company. After conducting FGD and KII sessions, the data were analyzed thematically and developed strategies to build a talent pool for critical roles. The analysis was based on a theme and the information was presented in a clear and succinct manner through the data categorization, which was subsequently utilized to generate insights and recommendations that could be implemented. After the analysis, several strategies were made under several critical positions to attract, hire and retain them through better benefits and continues development with the help of training. The recommendations provide a solid foundation for interventions to improve critical roles efficiency, address skill gaps, refine talent management strategies, and prioritize employee well-being, ensuring sustained success in a dynamic business landscape. With every aspect considered, the analysis will be a useful tool for individuals seeking to use the information to make data-driven decisions.