Entrepreneurial index for low-income households in Malaysia
Abdullah Al Mamun,
Ramayah Thurasamy and
Syed Ali Fazal
Socio-Economic Planning Sciences, 2021, vol. 77, issue C
Abstract:
Even though development organizations provide access to working capital and enterprise development training, they often fail to improve the socio-economic condition of low-income households. One of the factors contributing to the failure of development programs is their lack of capacity to measure the entrepreneurial potentials among the low-income participants. This study focused on the development of an entrepreneurial index that measures the entrepreneurial potentials among low-income households. Adopting a cross-sectional design, a total of 403 micro-entrepreneurs were approached from the list provided by ‘Majlis Amanah Rakyat’ and ‘Majlis Agama Islam Dan Adat Istiadat’, Kelantan. This study used formative hierarchial model to determine the local and global weights for all the items used to develop the index. Further, the nomological validity revealed a positive effect of entrepreneurial index on entrepreneurial competency, enterprise performance, and enterprise sustainability.
Keywords: Entrepreneurial index; Enterprise performance; Sustainability (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0038012121000057
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:soceps:v:77:y:2021:i:c:s0038012121000057
DOI: 10.1016/j.seps.2021.101013
Access Statistics for this article
Socio-Economic Planning Sciences is currently edited by Barnett R. Parker
More articles in Socio-Economic Planning Sciences from Elsevier
Bibliographic data for series maintained by Catherine Liu ().