- Title
- A two-stage structural equation modeling-neural network approach for understanding and predicting the determinants of m-government service adoption
- Creator
- Talukder, Shamim; Chiong, Raymond; Dhakal, Sandeep; Sorwar, Golam; Bao, Yukun
- Relation
- Journal of Systems and Information Technology Vol. 21, Issue 4, p. 419-438
- Publisher Link
- http://dx.doi.org/10.1108/JSIT-10-2017-0096
- Publisher
- Emerald
- Resource Type
- journal article
- Date
- 2019
- Description
- Purpose: Despite the widespread use of mobile government (m-government) services in developed countries, the adoption and acceptance of m-government services among citizens in developing countries is relatively low. The purpose of this study is to explore the most critical determinants of acceptance and use of m-government services in a developing country context. Design/methodology/approach: The unified theory of acceptance and use of technology (UTAUT) extended with perceived mobility and mobile communication services (MCS) was used as the theoretical framework. Data was collected from 216 m-government users across Bangladesh and analyzed in two stages. First, structural equation modeling (SEM) was used to identify significant determinants affecting users' acceptance of m-government services. In the second stage, a neural network model was used to validate SEM results and determine the relative importance of the determinants of acceptance of m-government services. Findings: The results show that facilitating conditions and performance expectancy are the two important precedents of behavioral intention to use m-government services, and performance expectancy mediates the relationship between MCS, mobility and the intention to use m-government services. Research limitations/implications: Academically, this study extended and validated the underlying concept of UTAUT to capture the adoption behavior of individuals in a different cultural context. In particular, MCS might be the most critical antecedent towards mobile application studies. From a practical perspective, this study may provide valuable guidelines to government policymakers and system developers towards the development and effective implementation of m-government systems. Originality/value: This study has contributed to the existing, but limited, literature on m-government service adoption in the context of a developing country. The predictive modeling approach is an innovative approach in the field of technology adoption.
- Subject
- mobile government; technology adoption; UTAUT; developing countries; structural equation modeling; neural network; SDG 16; Sustainable Development Goals
- Identifier
- http://hdl.handle.net/1959.13/1458771
- Identifier
- uon:45498
- Identifier
- ISSN:1328-7265
- Language
- eng
- Reviewed
- Hits: 1180
- Visitors: 1177
- Downloads: 0
Collections
Goal 16: Peace, Justice and Strong Institutions