Factors Affecting Usage of Mobile Money Services and Their Impact on Financial Inclusion: Case of Lusaka Province

Chanda Collins Njele · Jackson Phiri

7 citations0/0 files storedInternational Journal of Business and Management

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Technology Adoption and User Behaviour Microfinance and Financial Inclusion Health, Technology, Consumer Behavior

Abstract

This article presents a study of factors affecting the usage of mobile money services (MMS). Thirty-three User technology adoption variables relating to factors that affect MMS usage were identified, and Factor analysis was used to extract the key factors using principal component analysis. With set cut-off values, eight factors emerged with values of Communalities (>0.5), Eigenvalues (>1), Percent of Cumulative Variance Explained (>60 per cent), and Factor Loadings (>0.4) with a total variance of 75.179 %. Multiple regression was conducted to see if the independent variables predicted the level of usage of MMS. The validity of the items used in this study was established by using confirmatory factor analysis. Results showed that the adoption of mobile money service is influenced by Perceived ease of use, Perceived usefulness, Perceived cost, and Perceived network quality. The perceived cost was found to have a negative influence on financial service adoption.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 7 citations exist upstream.

References

1989Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology 2003User Acceptance of Information Technology: Toward A Unified View1 1994Marketing Research: An Applied Orientation 2003Consumer Acceptance of Electronic Commerce: Integrating Trust and Risk with the Technology Acceptance Model 2000Shadow Economies: Size, Causes, and Consequences 2015Developing a General Extended Technology Acceptance Model for E-Learning (GETAMEL) by analysing commonly used external factors 2009Portfolios of the poor: how the world's poor live on $2 a day 1988Research Design and Methods: A Process Approach

Cited by

2025Antecedents of Sustainable Usage Behaviors Through Mobile Payment Technology for Digital Financial Inclusion in Ghana 2022Factors for Acceptance and Use of Mobile Money Interoperability Services

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

Imported from OpenAlex (CC0) — nothing here is generated.