The aim of this research is to explore the drivers of green entrepreneurial intentions by applying Shapero’s entrepreneurial event model. This is a quantitative research where the relationships of perceived desirability, perceived feasibility and propensity to act have been judged for green entrepreneurial intention. A non-probability sampling method, purposive sampling was used to choose respondents. Questionnaires was distributed among 106 participants who have minimum five years of work experiences on green sectors. Descriptive statistics, reliability test, Pearson correlation test, and multiple linear regression have been employed in this research to analyze data through Python software. The results show that perceived desirability and perceived feasibility are not positively interrelated with green entrepreneurial intention, whereas propensity to act is positively interrelated with green entrepreneurial intention. Social desirability bias and decrease of generalized results for the whole population are major limitations of this research. In future, qualitative research can be done, such as focus groups, case studies, interviews etc. to get more comprehensive and practical information. Also, longitudinal research can be conducted to discover changes and developments in different time periods.

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Understanding the Drivers of Green Entrepreneurial Intentions: An Application of Shapero’s Entrepreneurial Event Model

  • Tanvir Hussain Himel,
  • Sabique Islam Khan,
  • Shahnaz Sharmin,
  • Naima Khan Tarin

摘要

The aim of this research is to explore the drivers of green entrepreneurial intentions by applying Shapero’s entrepreneurial event model. This is a quantitative research where the relationships of perceived desirability, perceived feasibility and propensity to act have been judged for green entrepreneurial intention. A non-probability sampling method, purposive sampling was used to choose respondents. Questionnaires was distributed among 106 participants who have minimum five years of work experiences on green sectors. Descriptive statistics, reliability test, Pearson correlation test, and multiple linear regression have been employed in this research to analyze data through Python software. The results show that perceived desirability and perceived feasibility are not positively interrelated with green entrepreneurial intention, whereas propensity to act is positively interrelated with green entrepreneurial intention. Social desirability bias and decrease of generalized results for the whole population are major limitations of this research. In future, qualitative research can be done, such as focus groups, case studies, interviews etc. to get more comprehensive and practical information. Also, longitudinal research can be conducted to discover changes and developments in different time periods.