Predicting the Intention to Adopt WhatsApp Groups as an Innovative Source of Business Financing: An Application of the Technology Acceptance Model

The purpose of this study was to examine the intention to adopt the WhatsApp group as a source of business financing.The study incorporated anxiety, perceived content quality (PCQ), perceived system quality (PSQ), and image into the Technology Acceptance Model (TAM) to forecast the adoption level in WhatsApp groups based on these variables.Employing a quantitative research approach, data was gathered through an online questionnaire from 362 respondents in Ghana.Structural Equation Modeling (SEM) was employed for data analysis using Amos 27.Findings revealed positive effects of image, perceived content quality, and perceived ease of use on perceived usefulness.Additionally, the study identified that perceived system quality had a significant effect on perceived ease of use, while perceived ease of use and perceived usefulness had significant effects on attitude towards use.Also, perceived usefulness and attitude towards use had significant positive effects on behavioural intention.Finally, the study found that attitude toward use played a partial mediating role in the relationships between perceived usefulness and behavioural intention to use.This empirical paper is one of the first to have tested the TAM in the users' intention to adopt the WhatsApp group as a source of business financing.

Authors

Publication Details

Journal
International Journal of Economics and Management
Published
2024-08-30
DOI
https://doi.org/10.47836/ijeam.18.2.02
Citations
1
Primary Topic
Technology Adoption and User Behaviour
Type
article
Field-Weighted Citation Impact
1.05
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Predicting the Intention to Adopt WhatsApp Groups as an Innovative Source of Business Financing: An Application of the Technology Acceptance Model

Emmanuel Mensah Kparl, Courage Simon Kofi Dogbe, Evans Duah, FAISAL IDDRIS
1 citations
International Journal of Economics and Management
Technology Adoption and User Behaviour
1.05
article

Predicting the Intention to Adopt WhatsApp Groups as an Innovative Source of Business Financing: An Application of the Technology Acceptance Model

Emmanuel Mensah Kparl, Courage Simon Kofi Dogbe, Evans Duah, FAISAL IDDRIS
article en
1 citations

Abstract

The purpose of this study was to examine the intention to adopt the WhatsApp group as a source of business financing.The study incorporated anxiety, perceived content quality (PCQ), perceived system quality (PSQ), and image into the Technology Acceptance Model (TAM) to forecast the adoption level in WhatsApp groups based on these variables.Employing a quantitative research approach, data was gathered through an online questionnaire from 362 respondents in Ghana.Structural Equation Modeling (SEM) was employed for data analysis using Amos 27.Findings revealed positive effects of image, perceived content quality, and perceived ease of use on perceived usefulness.Additionally, the study identified that perceived system quality had a significant effect on perceived ease of use, while perceived ease of use and perceived usefulness had significant effects on attitude towards use.Also, perceived usefulness and attitude towards use had significant positive effects on behavioural intention.Finally, the study found that attitude toward use played a partial mediating role in the relationships between perceived usefulness and behavioural intention to use.This empirical paper is one of the first to have tested the TAM in the users' intention to adopt the WhatsApp group as a source of business financing.

International Journal of Economics and ManagementVol. 18(2)
Openalex Percentile: Top 11%
Technology Adoption and User Behaviour
1.05
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.