Industry-Institute Technology Management Practices: A Case Study

Soujanya S. Shenoy, Dasharathraj K. Shetty, Lewlyn L.R. Rodrigues, Balakrishna S Maddodi, Farahnaz Golrooy Motlagh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

This paper investigates the institute-industry technology management (TM) practices based on the five key dimensions of Gregory's Process-Based Model. The research methodology involves a case study approach, involving a questionnaire survey of 196 faculty members from engineering institutes and 31 professionals from leading printing industries. While Acquisition of knowledge has been the top priority dimension in institutes, selection of knowledge is the top priority dimension in industries. Selection of knowledge is the second leading dimension in institute whereas, protection of knowledge is the second priority dimension in the industries. Identification of knowledge is the least prioritized dimension both in institutes and industries. This revelation has led to the drawing of implications to the managers of both the sectors to enhance the TM practices.

Original languageEnglish
Title of host publication2019 International Conference on Automation, Computational and Technology Management, ICACTM 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages284-287
Number of pages4
ISBN (Electronic)9781538680100
DOIs
Publication statusPublished - 01-04-2019
Event2019 International Conference on Automation, Computational and Technology Management, ICACTM 2019 - London, United Kingdom
Duration: 24-04-201926-04-2019

Publication series

Name2019 International Conference on Automation, Computational and Technology Management, ICACTM 2019

Conference

Conference2019 International Conference on Automation, Computational and Technology Management, ICACTM 2019
Country/TerritoryUnited Kingdom
CityLondon
Period24-04-1926-04-19

All Science Journal Classification (ASJC) codes

  • Strategy and Management
  • Artificial Intelligence
  • Management of Technology and Innovation
  • Computer Science Applications
  • Information Systems and Management
  • Control and Optimization
  • Instrumentation

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