Digital transformation and religious entrepreneurship in Nigeria: integrating artificial intelligence toward competitive advantage

Purpose Based on the technology acceptance model (TAM), this study contextually examines the level of willingness of religious entrepreneurs to accept and implement artificial intelligence (AI) tools. Furthermore, it aims to explore the challenges and prospects of AI adoption among entrepreneurs. Design/methodology/approach Following a qualitative approach, the data were collected from 12 informants from different segments of religious entrepreneurship in Nigeria. Semi-structured interviews and deductive thematic analysis were used to collect data. Findings The findings show that religious entrepreneurs demonstrate commendable level of awareness of the availability and usefulness of AI tools that support secular and sacred entrepreneurial pursuits. Furthermore, findings indicate that they have fully integrated AI in their secular entrepreneurial affairs but still demonstrate restraints in implementing it in certain sacred functions. Several challenges including shortage of finance, trained manpower and equipment are faced by the entrepreneurs. Originality/value Theoretically, the findings demonstrate that AI awareness and perceived usefulness influence the intention of religious entrepreneurs to integrate AI into religious entrepreneurship, while perceived ease of use does not.

Authors

Institutions

Publication Details

Journal
African Journal of Economic and Management Studies
Published
2024-09-30
DOI
https://doi.org/10.1108/ajems-06-2024-0349
Citations
2
Primary Topic
Islamic Finance and Banking Studies
Type
article
Field-Weighted Citation Impact
1.89
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Digital transformation and religious entrepreneurship in Nigeria: integrating artificial intelligence toward competitive advantage

Agu Godswill Agu, Clara Margaça
2 citations
African Journal of Economic and Management Studies
Islamic Finance and Banking Studies
1.89
article

Digital transformation and religious entrepreneurship in Nigeria: integrating artificial intelligence toward competitive advantage

Agu Godswill Agu, Clara Margaça
article en
2 citations

Abstract

Purpose Based on the technology acceptance model (TAM), this study contextually examines the level of willingness of religious entrepreneurs to accept and implement artificial intelligence (AI) tools. Furthermore, it aims to explore the challenges and prospects of AI adoption among entrepreneurs. Design/methodology/approach Following a qualitative approach, the data were collected from 12 informants from different segments of religious entrepreneurship in Nigeria. Semi-structured interviews and deductive thematic analysis were used to collect data. Findings The findings show that religious entrepreneurs demonstrate commendable level of awareness of the availability and usefulness of AI tools that support secular and sacred entrepreneurial pursuits. Furthermore, findings indicate that they have fully integrated AI in their secular entrepreneurial affairs but still demonstrate restraints in implementing it in certain sacred functions. Several challenges including shortage of finance, trained manpower and equipment are faced by the entrepreneurs. Originality/value Theoretically, the findings demonstrate that AI awareness and perceived usefulness influence the intention of religious entrepreneurs to integrate AI into religious entrepreneurship, while perceived ease of use does not.

African Journal of Economic and Management StudiesVol. 16(2)
Universidad de Salamanca (ES)
Openalex Percentile: Top 12%
Islamic Finance and Banking Studies
1.89
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.