| Literature DB >> 35592148 |
Yudong Weng1, Ahmad Tisman Pasha2, Muhammad Shaukat Malik2, Muhammad Umar Farooq2, Siraj Hussain3.
Abstract
Green entrepreneurship is a recent business phenomenon that is related to ecological issues. In the time of COVID-19, every business entity is looking for a unique way to be more resilient and noticeable. In this regard, green entrepreneurs hold the potential to manage scarce resources, fulfill social responsibility, and put forward the solution to environmental degradation in the new normal of the post-COVID-19 era. The current venture investigated the opportunity recognition and readiness behavior to execute green entrepreneurship intentions during the post-COVID-19 situation (specifically by underlining the role of market orientation). The present model examined the institutional theory. It put forward the opportunity recognition behavior in the post-COVID-19 era, which can improve youth readiness to opt for green entrepreneurship. The study collected data from 196 university graduate students via online sources by using purposive sampling. The study found that the proposed hypothesis has been proved significant while defining green entrepreneurial intentions. Particularly, the study showed that warm glow was the strongest factor to predict green entrepreneur intention. Moreover, this study can contribute to employing the institutional theory as a novel aspect in the academic sphere.Entities:
Keywords: green entrepreneurial intention; market orientation; normative support; post-COVID-19 era; regulative support; warm glow
Year: 2022 PMID: 35592148 PMCID: PMC9110856 DOI: 10.3389/fpsyg.2022.817619
Source DB: PubMed Journal: Front Psychol ISSN: 1664-1078
Adapted measurement of the constructs.
| Constructs | Items | |
| Normative support (NS) | NS1 | Turning new ideas into initiatives is admired in this country |
| NS2 | In this country, innovative and creative thinking is viewed as a route to success | |
| NS3 | Entrepreneurs are admired in this country | |
| Regulative support (RS) | RS1 | Government organizations assist individuals in starting their initiatives/ventures |
| RS2 | Local and national governments support individuals who are starting an initiative/venture | |
| RS3 | The government sponsors organizations that help new initiatives/ventures | |
| Market orientation (MO) | MO1 | We regularly analyze and track the needs of our youth |
| MO2 | Objectives are determined by our youth satisfaction | |
| MO3 | The strategy to obtain competitive advantage is based on the understanding of our youth’s needs | |
| MO4 | We regularly measured our youth’s satisfaction | |
| Knowledge and experience (KnE) | KnE1 | I have the necessary knowledge to adopt technology in business ventures/initiatives |
| KnE2 | I have the necessary experience to start/add technology in business ventures/initiatives | |
| KnE3 | I have the necessary technical know-how to start/add technology in business ventures/initiatives | |
| Warm glow (WG) | WG1 | Doing eco-friendly business ventures/initiatives gives me a pleasant feeling of personal satisfaction |
| WG2 | I feel happy contributing to human wellbeing and the quality of the natural environment by involving and initiating eco-friendly business ventures/initiatives | |
| WG3 | By involving or initiating eco-friendly business ventures/initiatives, I feel pleased to do something good for our planet | |
| WG4 | Participating in eco-friendly business ventures/initiatives makes me feel satisfied by giving something back to society and the environment | |
| Green entrepreneurial readiness (GER) | GER1 | I have a strong emphasis on R&D, technological leadership, and innovation |
| GER2 | I have always adopted new technological transformation abilities to create wealth | |
| GER3 | I am always willing to focus all my time and energy on things that impact the business the most | |
| GER4 | I can act fast and seize new opportunities when they arrive | |
| GER5 | I have a strong tendency to be a leader, introducing new products, services, or technology first | |
| Green entrepreneurial intention (INT) | INT1 | I will try my best to start and run my green initiative/ventures |
| INT2 | I decided to establish a company in the future | |
| INT3 | My career goal is to become an entrepreneur |
Descriptive profile of respondents.
| Measure | Item | Number | Percentage |
| Gender | Male | 141 | 71.90% |
| Female | 55 | 28.10% | |
| Age | 20–25 | 160 | 81.60% |
| 26–30 | 32 | 16.30% | |
| Above 30 | 4 | 2.10% | |
| Education | Graduation | 97 | 49.50% |
| Masters | 94 | 47.90% | |
| Ph.D. | 5 | 2.50% |
Exploring reliability and validity analysis.
| Construct | Items | Loadings | α | CR | AVE |
| Normative support | NS1 | 0.812 | 0.753 | 0.854 | 0.661 |
| NS2 | 0.866 | ||||
| NS3 | 0.755 | ||||
| Regulative support | RS1 | 0.739 | 0.744 | 0.852 | 0.659 |
| RS2 | 0.865 | ||||
| RS3 | 0.825 | ||||
| Knowledge and experience | KnE1 | 0.719 | 0.792 | 0.792 | 0.560 |
| KnE2 | 0.773 | ||||
| KnE3 | 0.750 | ||||
| Market orientation | MO1 | 0.677 | 0.738 | 0.807 | 0.656 |
| MO2 | 0.770 | ||||
| MO3 | 0.841 | ||||
| Warm glow | WG1 | 0.814 | 0.754 | 0.851 | 0.587 |
| WG2 | 0.794 | ||||
| WG3 | 0.821 | ||||
| Green entrepreneurial readiness | GER1 | 0.754 | 0.756 | 0.836 | 0.595 |
| GER2 | 0.852 | ||||
| GER3 | 0.700 | ||||
| Green entrepreneurial intention | INT1 | 0.792 | 0.708 | 0.801 | 0.629 |
| INT2 | 0.782 | ||||
| INT3 | 0.806 |
AVE, average variance extracted.
Hetero trait-mono trait scores.
| Construct | NS | RS | KnE | WG | MO | INT | GER |
| NS | |||||||
| RS | 0.243 | ||||||
| KnE | 0.425 | 0.774 | |||||
| WG | 0.529 | 0.659 | 0.733 | ||||
| MO | 0.447 | 0.661 | 0.605 | 0.842 | |||
| INT | 0.722 | 0.498 | 0.525 | 0.892 | 0.752 | ||
| GER | 0.351 | 0.731 | 0.742 | 0.684 | 0.494 | 0.559 |
Estimated goodness of model fit.
| Values | HI95 | HI99 | Conclusion | |
| SRMR | 0.067 | 0.072 | 0.075 | Supported |
| dULS | 1.067 | 1.206 | 1.32 | Supported |
| dG | 0.341 | 0.465 | 0.505 | Supported |
FIGURE 1Graphical explanation of the model examined. *** = Significance level of 0.001, ** = Significance level of 0.01.
Hierarchal regression for moderation.
| Variables | M1 (β) | M2 (β) | Sig. |
|
| |||
| MO | 0.062 | ||
| GER | 0.594 | ||
|
| 0.265 | ||
|
| |||
| MO×GER | 0.177 | 0.03 | |
|
| 0.283 | ||
| Ϫ | 0.018 | ||
|
| |||
|
|
|
| |
|
| |||
| WG | 0.297 | ||
| GER | 0.043 | ||
|
| 0.279 | ||
|
| |||
| WG×GER | 0.138 | 0.048 | |
|
| 0.293 | ||
| Ϫ | –0.014 | ||
** = Significance level of 0.01.