E-Government to M-Government: A Study in a Developing Economy

This research intends to address variables that would facilitate the migration to m-government model in a developing economy experiencing a very high growth and adoption of mobile communication technology. By conducting an exhaustive literature review and brainstorming sessions with experts, 13 factors were identified that would positively affect m-government initiatives. These variables known as enablers were modelled using interpretive structural modelling ISM to develop a relationship model identifying interdependencies among them. Interdependencies among variables would be utilised to structure them into a hierarchy and cluster them into subsystems with corresponding driving power and dependency. The findings of the study show that for a successful m-government model the policy makers should focus on variables that form the base of the model and which are of strategic orientation. This research would help the government to focus on key elements and develop suitable strategies expediting the adoption and growth of m-government channels.

[1]  Paul A. Pavlou,et al.  Encouraging Citizen Adoption of eGovernment by Building Trust , 2002, Electron. Mark..

[2]  Toshio Obi,et al.  m-Government Services: User Needs and Value , 2009 .

[3]  Faisal Talib,et al.  Analysis of interaction among the barriers to total quality management implementation using interpretive structural modeling approach , 2011 .

[4]  Yogesh Kumar Dwivedi,et al.  e-Government Adoption Model (GAM): Differing service maturity levels , 2011, Gov. Inf. Q..

[5]  Khaled Amailef,et al.  A mobile-based emergency response system for intelligent m-government services , 2011, J. Enterp. Inf. Manag..

[6]  Yousra Magdy,et al.  The Adoption of Mobile Government Services in Developing Countries: The Case of Egypt , 2012 .

[7]  José Ramón Gil-García,et al.  Are government internet portals evolving towards more interaction, participation, and collaboration? Revisiting the rhetoric of e-government among municipalities , 2012, Gov. Inf. Q..

[8]  Shin-Yuan Hung,et al.  User acceptance of mobile e-government services: An empirical study , 2013, Gov. Inf. Q..

[9]  Hans Jochen Scholl,et al.  Tsunami early warnings via Twitter in government: Net-savvy citizens' co-production of time-critical public information services , 2013, Gov. Inf. Q..

[10]  Szabolcs Duleba,et al.  An analysis on the connections of factors in a public transport system by AHP-ISM , 2013 .

[11]  Jorge Gonçalves,et al.  An empirical investigation of mobile government adoption in rural China: A case study in Zhejiang province , 2014, Gov. Inf. Q..

[12]  Mohd. Nishat Faisal,et al.  Modeling the enablers of organizational commitment , 2014, Bus. Process. Manag. J..

[13]  P. Woods,et al.  Exploring citizen perceptions of barriers to e-government adoption in a developing country , 2014 .

[14]  Seok-Jin Eom,et al.  The adoption of public smartphone applications in Korea: Empirical analysis on maturity level and influential factors , 2014, Gov. Inf. Q..

[15]  Matthew L. Jensen,et al.  Organizational balancing of website interactivity and control: An examination of ideological groups and the duality of goals , 2014, Comput. Hum. Behav..

[16]  Cathal Heavey,et al.  ISM analysis of CPFR implementation barriers , 2014 .

[17]  Teresa M. Harrison,et al.  Transparency, participation, and accountability practices in open government: A comparative study , 2014, Gov. Inf. Q..

[18]  Shuiqing Yang,et al.  The effects of differences between e-commerce and m-commerce on the consumers' usage transfer from online to mobile channel , 2014, Int. J. Mob. Commun..

[19]  Nils Walravens,et al.  Mobile city applications for Brussels citizens: Smart City trends, challenges and a reality check , 2015, Telematics Informatics.

[20]  Dong-Her Shih,et al.  An implementation framework for E-Government 2.0 , 2015, Telematics Informatics.

[21]  Faisal Talib,et al.  An Interpretive Structural Modeling for Sustainable Healthcare Quality Dimensions in Hospital Services , 2015 .

[22]  Habib Ullah Khan,et al.  An Analysis of the Barriers to the Proliferation of M-Commerce in Qatar: A Relationship Modeling Approach , 2015, J. Syst. Inf. Technol..

[23]  Xiaoqing Li,et al.  Acceptance analysis of mobile internet in China , 2015, Int. J. Mob. Commun..

[24]  Mohd. Nishat Faisal,et al.  Implementing traceability in Indian food-supply chains: An interpretive structural modeling approach , 2016 .