707
Views
10
CrossRef citations to date
0
Altmetric
Research Article

Fostering university-industry collaborations through university teaching

ORCID Icon, ORCID Icon &
Pages 263-275 | Received 30 Sep 2018, Accepted 15 May 2019, Published online: 07 Jul 2019
 

ABSTRACT

University-industry links and their impact on innovation processes have been widely acknowledged. However, previous studies have mainly examined university-industry knowledge transfer activities from the perspective of the research and third stream missions. This paper goes a step further, analysing such processes from the perspective of the university’s teaching mission. More specifically, it explores how educational crowdsourcing platforms help bring universities and industry together to develop joint activities in undergraduate and graduate programmes. Nine platforms with different business models were examined. A qualitative exploratory approach was adopted to manually collect and analyse data from the platforms. This study identified three categories of educational crowdsourcing platforms based on their focus (education, crowdsourcing or networking). The analysis shows that, although these platforms have some shortcomings, they provide benefits to all stakeholders by facilitating experiential learning, promoting skills acquisition and encouraging the development of new ideas to meet industry needs.

Disclosure statement

No potential conflict of interest was reported by the authors.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 233.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.