The Affect Mechanism of Environmental Munificence on Entrepreneurial Improvisation in Heilongjiang Province, China.
Published In: Pakistan Journal of Life & Social Sciences, 2024, v. 22, n. 2. P. 16156 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: ZHANG Ke; Li, Lei 3 of 3
Abstract
Improvisational behavior is the key to entrepreneurial success, and a relaxed entrepreneurial environment is related to entrepreneurial improvisation. Therefore, based on the triadic reciprocal determinism, a sample of 816 entrepreneurs in Heilongjiang Province, China, was collected through a web-based questionnaire using a purposive sampling method to examine the relationship between environmental munificence and entrepreneurial improvisation, as well as the facilitating effects of future self-continuity and belief in community of shared future for mankind community. The results confirm for the first time that environmental munificence is positively related to entrepreneurial improvisation. That future self-continuity and belief in community of shared future for mankind have a facilitating effect between the two. This suggests that entrepreneurs in Heilongjiang Province, China, need a relaxed entrepreneurial environment, continuity between the present and future selves, and the link between common human beliefs, to fully stimulate entrepreneurial improvisation. Finally, the findings provide important insights for improving entrepreneurial improvisation. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Pakistan Journal of Life & Social Sciences. 2024/07, Vol. 22, Issue 2, p16156
- Document Type:Article
- Subject Area:Religion and Philosophy
- Publication Date:2024
- ISSN:1727-4915
- DOI:10.57239/PJLSS-2024-22.2.001170
- Accession Number:185141522
- Copyright Statement:Copyright of Pakistan Journal of Life & Social Sciences is the property of Elite Scientific Forum and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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