<p>Training and capacity building are important for enhancing competency and capacity of the individuals working in an organization. Indian Council of Agricultural Research is attaching tremendous importance to the management and development of their employees. The aim of this study is to design and implement an E-governance model for smooth adoption of Human Resource Management Policy and for time bound capacity building of its employees. The study adopted applied research and utilizes MS-SQL Server as the relational database management System and Visual Studio ASP.NET for development of application for the E-governance Model. Significant improvements were observed in the training management and approval process. Analysis of feedback and impact assessment data reported effective competency enhancement of employee in their areas of interest. The data driven insights are used as a decision support tool by human resource managers in planning the appropriate capacity building and skillset generation programmes for their staff. Potential areas of improvement include integration of Artificial Intelligence tools for recommending specialized training to individuals for continuous enhancement of organizational performance.</p>

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Effective competency enhancement in agricultural research institutions- an E-governance model

  • Shashi Dahiya,
  • Sudeep Marwaha,
  • Navin Kumar Jain

摘要

Training and capacity building are important for enhancing competency and capacity of the individuals working in an organization. Indian Council of Agricultural Research is attaching tremendous importance to the management and development of their employees. The aim of this study is to design and implement an E-governance model for smooth adoption of Human Resource Management Policy and for time bound capacity building of its employees. The study adopted applied research and utilizes MS-SQL Server as the relational database management System and Visual Studio ASP.NET for development of application for the E-governance Model. Significant improvements were observed in the training management and approval process. Analysis of feedback and impact assessment data reported effective competency enhancement of employee in their areas of interest. The data driven insights are used as a decision support tool by human resource managers in planning the appropriate capacity building and skillset generation programmes for their staff. Potential areas of improvement include integration of Artificial Intelligence tools for recommending specialized training to individuals for continuous enhancement of organizational performance.