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Entrepreneurial academics: a taxonomy with Latent Profile Analysis
Management Decision ( IF 5.589 ) Pub Date : 2019-12-05 , DOI: 10.1108/md-10-2018-1157
Ricardo Gouveia Rodrigues , João J.M. Ferreira , Teresa Felgueira

The need for dynamic and innovative skills and the importance of resources and individuals in pursuit of new opportunities prove to be extremely vital for the higher education institutions (HEI). The purpose of this paper is to develop a taxonomy of academics from HEI, based on their individual entrepreneurial orientation (EO).,The population in study was composed of teachers and researchers from worldwide HEI. The data collection was conducted through a questionnaire sent by an e-mail and the authors used the I-ENTRE-U scale to identify entrepreneurial-oriented teachers and researchers from HEI. A Latent Profile Analysis (LPA) was conducted to identify profiles of researchers with similar values in four EO dimensions.,The study allowed the authors to identify five profiles of researchers: downers, achievers, followers, defenders and rebels.,The results can be an important starting point for other researchers and practitioners hoping to evaluate academics’ EO in a higher education sector. The taxonomy also allows wider predictions about the behaviour of the profile members of profiles and relates it with other variables such as performance. Further contributions may be added by extending the data gathering from different geographical areas and/or different academic contexts, such that future studies could apply other LPA techniques and compare the results.,Only few studies have focussed on individual EO of scientists/academics, considering different national and regional contexts. To the best of the authors’ knowledge, this is the first empirical study that develops a taxonomy of academics from HEI, based on their individual EO.

中文翻译:

企业家学者:具有潜在特征分析的分类法

事实证明,对动态和创新技能的需求以及对资源和个人的追求对新机遇的重要性对高等教育机构(HEI)至关重要。本文的目的是根据HEI的个人创业倾向(EO)来开发HIE学者的分类法。研究人群由全球HEI的教师和研究人员组成。数据收集是通过电子邮件发送的问卷进行的,作者使用I-ENTRE-U量表确定了HEI面向企业家的教师和研究人员。进行了潜在特征分析(LPA),以在四个EO维度中识别具有相似值的研究人员的特征。该研究允许作者识别五个研究人员的特征:挫败者,成就者,追随者,防御者和叛乱者。对于希望在高等教育领域评估学者的EO的其他研究人员和从业人员,研究结果可能是一个重要的起点。分类法还允许对概要文件的概要文件成员的行为进行更广泛的预测,并将其与其他变量(例如性能)相关联。通过扩展来自不同地理区域和/或不同学术环境的数据收集,可以增加进一步的贡献,以便将来的研究可以应用其他LPA技术并比较结果。仅考虑到科学家/学术界的单个EO,很少有研究不同的国家和地区环境。据作者所知,这是第一项基于HEI的学者对他们的EO进行分类的实证研究。
更新日期:2019-12-05
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