Degree of innovation and the entrepreneurs’ intention to create value: a comparative study of experienced and novice entrepreneurs

作者: Amir Emami , Dimo Dimov

DOI: 10.1007/S40821-016-0068-Y

关键词: Action (philosophy)NoveltyMarketingInformation and Communications TechnologyVariance (accounting)EntrepreneurshipValue (ethics)Value creationSurvey data collectionPsychology

摘要: A vital aspect of entrepreneurial action is the translation entrepreneur’s opportunity into new value creation. This paper examines moderating roles founder’s experience and innovation degree on relationship between confidence creation intention (NVCI) at pre-founding stage a business. For this purpose, it uses survey data from 157 prospective entrepreneurs in ICT industry university incubators Iran. Using SEM, we find that experience, alone, does not moderate NVCI. However, if have required confidence, then medium high-level can increase likelihood acting for novice experienced entrepreneurs, respectively. variance low to moderates intent. In fact, strengthened by novelty level. Whereas, high, high

参考文章(85)
Gaylen N. Chandler, Douglas W. Lyon, Issues of Research Design and Construct Measurement in Entrepreneurship Research: The Past Decade Entrepreneurship Theory and Practice. ,vol. 25, pp. 101- 114 ,(2001) , 10.1177/104225870102500407
Arthur L. Stinchcombe, Social structure and organizations Handbook of Organizations. ,vol. 17, pp. 142- 193 ,(2000) , 10.1016/S0742-3322(00)17019-6
Ewald Kibler, New venture creation in different environments: Towards a multilayered institutional approach to entrepreneurship Publications of Turku School of Economics, Series A-11: 2012. ,(2012)
Gerald Zaltman, Jonny Holbek, Robert Duncan, Innovations and Organizations ,(1973)
Francesc Miralles, Ferran Giones, Carla Riverola, Evaluating the impact of prior experience in entrepreneurial intention International Entrepreneurship and Management Journal. ,vol. 12, pp. 791- 813 ,(2016) , 10.1007/S11365-015-0365-4
Jörg Henseler, PLS-MGA: A Non-Parametric Approach to Partial Least Squares-based Multi-Group Analysis Challenges at the Interface of Data Analysis, Computer Science, and Optimization: Proceedings of the 34th Annual Conference of the Gesellschaft für Klassifikation e. V., Karlsruhe, July 21 - 23, 2010. pp. 495- 501 ,(2012) , 10.1007/978-3-642-24466-7_50