A new template for identifying the best training and development practices in an automotive industrial cluster: an Indian case study. (2nd September 2020)

• Record Type: Journal Article
• Authors: Aravamudhan, N.R.; Krishnaveni, R.
• Is Part Of: International journal of management practice. Volume 13:Number 6(2020)
• Page Start: 713
• Page End: 737
• Publication Date: 2020-09-02
• Subjects: training and development -- participatory organisational evaluation tool -- POET -- best training and development practices -- general estimating equation -- GEE; Management -- Periodicals; 658.005
• Languages: English
• ISSNs: 1477-9064

Abstract

Any study focusing on identifying the best practices in training and development, in particular is fraught with critical challenges. Part of the challenge in identifying the best practices in training and development is that the field is devoid of any serious empirical research. Most of the material available in the public domain is descriptive, primed on case studies or anecdotal narratives to support the authors' claims. A reliable method for identifying the best practices in training and development in the industrial cluster is still uncharted terrain. Hitherto, the research studies focused solely on individual companies. The extant literature revealed that there is an abject lack of empirical research focusing on devising a reliable method for identifying the best practices in training and development in industrial clusters. This purported gap in the training literature provided the impetus to devise a new template for identifying the best training and development practices in an automotive industrial cluster. The study straddling three phases namely diagnosis, assessment, and identification will help firms identify the best training and development practices.