Innovation driven ecosystem for quality skill development in India

Purpose The purpose of this paper is to investigate and analyze the challenges of quality skill development in complex and large economies like India and develop innovative processes of improving employability. Design/methodology/approach The problem areas and gaps have been identified through literature survey and published reports by governmental agencies on employability and quality skill development in India. The research focuses on prevalent challenges for large-scale skill development and utilizes TRIZ (Russian acronym for “Theory of Inventive Problem Solving”) for finding innovative solutions to the grand challenge of employability. Findings The applied research methodology in the paper leads to a model for the “Innovation driven ecosystem for quality skill development” and also defines the role and responsibilities of each stakeholders in the ecosystem. Research limitations/implications Solutions derived through TRIZ are qualitative in nature. The actual implication of solution needs to be tested after implementation. Further, intangible costs incurred, and harmful and useful effects cannot be easily quantified. Practical implications The parameter mapping for the TRIZ matrix was undertaken in this paper and this methodology when applied to other problem statements renders an organized process for improving total quality and innovative process management. The inventive principles were applied to find solution to contradictions and arrive at an integrated ecosystem which binds all stakeholders efficiently, to generate higher employability. The innovative solutions derived through the process are applicable to policy makers, researchers and practitioners. Social implications The process of improving employability through quality skill development, benchmarked by the TRIZ methodology can have far reaching social implications. Originality/value The research extends the body of knowledge of TRIZ modeling concepts in areas other than engineering, and depicts a unique total quality methodology which can be easily applied for other problem-solving contexts. The contribution can serve as a reference technique/tool for improving reliability and quality through a methodical process of working out innovative solutions to solve operational problems.