Drivers of strengthening university–industry collaboration: implications for favorable outcomes

IF 1.9 Q2 EDUCATION & EDUCATIONAL RESEARCH
Md Aktar Kamal, Souman Guha, N. Begum, Md. Abu Taher
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引用次数: 0

Abstract

PurposeThe purpose of the study was to examine the factors that are important for strengthening university–industry collaboration (UIC). This study also investigates the outcome of UIC in the light of creativity, skill, knowledge, and research work.Design/methodology/approachA survey method has been used to collect data for the study. This study applied a purposive judgmental sampling technique where particular types of respondents like university faculty members and the top officials of the organizations were selected who are knowledgeable and can provide the desired information. The current study used the structural equation modeling method to analyze the data. In the first stage, this research assessed the demographic factors of the respondent. Then this study conducts confirmatory factors analysis and convergent and discriminant validity and reliability test. Finally, the hypotheses are tested by using nonparametric.FindingsThis study finds that knowledge transfer mechanism, governmental factors, organizational design factors, technology transfer and the collaborative network has a significant impact on strengthening UIC, which ultimately facilitates creativity, knowledge creation, skills development and supply of graduate according to the requirement of the industry, good research work.Originality/valueThe current study identified some important determinant that has a substantial influence on strengthening UIC. According to the study organizational design, government, technology, collaborative network and mechanism for knowledge transfer play very crucial roles in strengthening collaboration that ultimately increases the creativity, skills, knowledge and research capability of graduates.
加强大学与行业合作的驱动因素:对有利结果的影响
目的本研究的目的是检验对加强大学与工业合作(UIC)至关重要的因素。本研究还从创造力、技能、知识和研究工作的角度调查了UIC的结果。设计/方法/方法采用调查方法收集研究数据。这项研究采用了一种有目的的判断性抽样技术,选择了特定类型的受访者,如大学教职员工和组织的高级官员,他们知识渊博,能够提供所需的信息。目前的研究使用结构方程建模方法来分析数据。在第一阶段,本研究评估了受访者的人口统计因素。然后本研究进行了验证性因素分析和收敛判别有效性及信度检验。最后,利用非参数方法对假设进行了检验。研究发现,知识转移机制、政府因素、组织设计因素、技术转移和协作网络对加强UIC有显著影响,最终促进了毕业生的创造力、知识创造、技能发展和供应,符合行业的要求,做好研究工作。原创性/价值当前的研究确定了一些对加强UIC有重大影响的重要决定因素。根据研究组织设计,政府、技术、协作网络和知识转移机制在加强协作方面发挥着至关重要的作用,最终提高毕业生的创造力、技能、知识和研究能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Higher Education Skills and Work-based Learning
Higher Education Skills and Work-based Learning EDUCATION & EDUCATIONAL RESEARCH-
CiteScore
3.80
自引率
12.50%
发文量
36
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