Exploring Entrepreneurial Intentions: A Cluster-Based Classification of Motivators and Barriers Using K-Means
Author(s): 1 Sunitha T. Ratnakaran, 2 Shaza Fathima,
Authors Affiliations:
1Assistant Professor, 2Student,
1,2 Department of Management Studies, St. Teresa’s College (Autonomous), Ernakulam, India
DOIs:10.2015/IJIRMF/202602001     |     Paper ID: IJIRMF202602001Abstract: Constant exposure to global challenges such as environmental degradation, food insecurity, mental health crises, and economic inequality has motivated young individuals to engage in entrepreneurship as a means of addressing these issues. This shift reflects a transformation in their worldviews and career orientations, emphasizing socially impactful and purpose driven ventures. Grounded in this conceptual framework, the present study investigates the key personal attributes and contextual factors that encourage young individuals to engage in entrepreneurial activities, as well as the major barriers that constrain their entrepreneurial intentions. Factor analysis was performed to classify the underlying factor structure of the 21 item responses and results indicated a strong support for a four-factor structure consisting of anxieties and motivators. Using cluster analysis, the study classified participants according to distinct psychographic profiles. This multidimensional approach highlighted the interconnected dynamics between motivators and barriers, revealing that apprehensions related to personal competencies, financial management, and market uncertainty exerted greater influence on the decision to initiate a venture than positive motivational factors.
Sunitha T. Ratnakaran, Shaza Fathima, (2026); Exploring Entrepreneurial Intentions: A Cluster-Based Classification of Motivators and Barriers Using K-Means, International Journal for Innovative Research in Multidisciplinary Field, ISSN(O): 2455-0620, Vol-12, Issue-2, Available on – https://www.ijirmf.com/

