The contribution of <i>waqf</i> on poverty alleviation in Somalia through crowdfunding <i>waqf</i> models in the livestock sector development: technology of acceptance models (TAM)
Zakaria Ahmed Mohamed Mohamud & Nur Farhah Mahadi
What the paper says
Purpose Poverty significantly impacts the Muslim world’s social and economic development. Somalia, a country with a rich cultural heritage, is among the poorest nations in the world due to poverty. Hence, this study aims to investigate the crowdfunders’ behavioral intention to use the crowdfunding waqf model (CWM) as a financing mechanism for livestock sector and as a tool for poverty alleviation in Somalia. Design/methodology/approach The primary data for this paper were gathered from 205 respondents, mostly youth from several universities in the capital city of Mogadishu, through online questionnaires. Structural equation modeling with partial least squares was adopted to test the hypotheses. This paper adopted the technology acceptance model variables, along with the social media variable, to assess the crowd funder’s behavior. Findings This research found that both perceived usefulness and perceived ease of use positively influence the behavioral intent of crowd donors to use the CWM for developing the livestock sector in Somalia. Furthermore, social media usage does not have a direct or positive influence on crowdfunders’ behavioral intentions to use CWM. Research limitations/implications Future studies may concentrate on the applicability of the CWM to other businesses or industries and incorporate new variables to increase CWM’s robustness. Originality/value This study presents a significant opportunity to increase awareness of the CWM’s role in raising waqf funds to support the livestock sector and promote poverty alleviation in Somalia.
Evidence weight
Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40
| F · citation impact | 0.50 × 0.4 = 0.20 |
| M · momentum | 0.50 × 0.15 = 0.07 |
| V · venue signal | 0.50 × 0.05 = 0.03 |
| R · text relevance † | 0.50 × 0.4 = 0.20 |
† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.