Enhancing Green Employability Using ICT: A Framework Based on Skill Gap Analysis and Reputation Mechanisms | Chapter 8 New Horizons of Science, Technology and Culture Vol. 3

 

The rate of unemployment has shown a gradual increase over the past few years. Several factors contribute to unemployment, including structural changes in the local economy, limited availability of job opportunities in specific sectors, skills mismatch between the education system and industry requirements, and demographic factors such as population growth and youth unemployment. This paper proposes a structured framework for skill building and sustainable employment generation by incorporating Trust and Reputation as core decision variables, mediated through Information and Communication Technology (ICT) tools. The aim is to address persistent issues of high unemployment, skill-demand mismatch, and the lack of a responsive workforce ecosystem — particularly in the context of emerging green jobs and eco-oriented industries. Several cities and districts in India possess economically diverse sectors — including agriculture, agro-processing, manufacturing, and services — yet face chronic challenges in aligning available human capital with evolving, often sustainability-driven industry requirements. The shift toward climate-resilient development and circular economy models demands not only traditional technical skills but also eco-competencies relevant to environmental stewardship, resource efficiency, and green innovation. This paper conducts an in-depth analysis of the structural and algorithmic aspects contributing to unemployment, with a specific focus on computer science methods. It introduces a robust framework integrating capability profiling, digital learning pathways, and trust-reputation metrics to facilitate dynamic, ICT-enabled matching between individuals and demand nodes — including those in green economy sectors. Beyond mere technical qualification, the model emphasises behavioural fitness, reputational credibility, and social responsibility, enabling a more holistic, environmentally aligned employment strategy. The framework also outlines mechanisms for real-time assessment, domain-specific skill evolution, and scalable implementation — promoting not only economic inclusion but also long-term environmental sustainability in workforce planning.

 

Author(s) Details

G Ponni

Maris Stella College, Vijayawada, Andhra Pradesh, India.

 

A B Sagar
NIC, APSC, Andhra Pradesh, India.

 

 

Please see the book here:- https://doi.org/10.9734/bpi/nhstc/v3/5953