2017
DOI: 10.1108/jamr-08-2016-0065
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Policy boomerang in technical education: a system dynamics perspective

Abstract: Purpose The Indian technical education has experienced an exponential growth since 1995. However, the technical education system was not able to sustain it and the enrollments, particularly in engineering, fell down considerably. The purpose of this paper is to analyze the growth of Indian technical education from system dynamics (SD) perspective. Design/methodology/approach Technical education is a complex system in which the outcome of a decision comes with a third order delay. SD is an appropriate tool to… Show more

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Cited by 5 publications
(2 citation statements)
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“…This does provide a brief overview of the current situation of engineering education in India and how the current teaching methods can be improved. Upadhayay and Vrat (2017), have analyzed the growth of India's technical education from the system's dynamic perspective followed by a comparison with the Gartner Hype cycle. The concept of the Boomerang effect has been introduced in this paper to compare it with the current movement of Indian technical education along with concerns over the quality of technical education currently in India.…”
Section: Literature Reviewmentioning
confidence: 99%
“…This does provide a brief overview of the current situation of engineering education in India and how the current teaching methods can be improved. Upadhayay and Vrat (2017), have analyzed the growth of India's technical education from the system's dynamic perspective followed by a comparison with the Gartner Hype cycle. The concept of the Boomerang effect has been introduced in this paper to compare it with the current movement of Indian technical education along with concerns over the quality of technical education currently in India.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Here, the authors have attempted to estimate the SIFW by developing a SD model and SIBW has been estimated through the direct interview of the catering industry experts. The SD modeling is an approach to understand the non-linear behavior of complex systems (Upadhayay and Vrat, 2017). This modeling technique characterizes causal and correlative relationships between inorganic and organic factors, i.e.…”
Section: Introductionmentioning
confidence: 99%