Enhancing ICT Infrastructure in Public Services: Factors Influencing Mobile Government (M-Government) Adoption in India

Purpose The purpose of this paper is to investigate the factors which influence mobile government (m-government) services adoption in India. Design/methodology/approach Adoption behavior of m-government services by 311 respondents is probed by using a multiple set of constructs drawn from technology acceptance model (TAM), unified theory of acceptance and use of technology (UTAUT), theory of planned behavior (TPB) and hierarchical regression analysis. Specifically, eight hypotheses were tested around constructs like Perceived Usefulness (PU), Perceived Ease of Use (EOU), Compatibility (COM), Trust (T), Influence (I), Self-Efficacy (SE), Facilitating Conditions (FC), Attitude (ATT) and Behavioral Intention to Adopt m-government services (BI). Findings Results show that PU, EOU, T and ATT were found to have significant influence on the adoption of m-government services. Furthermore, demographic variables (age, marital status, occupation, educational qualification and frequency of using m-government services) were not found to be significant predictors for the adoption of m-government services in India. Originality/value While most of the technology adoption studies are focused on commercial activities, studies on internet interfaces vis-a-vis the public services are limited to investigation of e-government services. Besides, there are more studies contextualized in the developed countries as compared to developing countries. Academic research on m-government adoption is scant and the present paper is a significant contribution in the Indian context.

[1]  Hans van der Heijden,et al.  Factors influencing the usage of websites: the case of a generic portal in The Netherlands , 2003, Inf. Manag..

[2]  Julia Melkers,et al.  Models of Performance‐Measurement Use in Local Governments: Understanding Budgeting, Communication, and Lasting Effects , 2005 .

[3]  Shin-Yuan Hung,et al.  Determinants of user acceptance of the e-Government services: The case of online tax filing and payment system , 2006, Gov. Inf. Q..

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

[5]  I-Chiu Chang,et al.  An empirical study on the impact of quality antecedents on tax payers' acceptance of Internet tax-filing systems , 2005, Government Information Quarterly.

[6]  Bernard C. Y. Tan,et al.  Effects of Interactivity on Website Involvement and Purchase Intention , 2010, J. Assoc. Inf. Syst..

[7]  Witold Abramowicz,et al.  MOBILITY IMPLICATIONS FOR m-GOVERNMENT PLATFORM DESIGN , 2006, Cybern. Syst..

[8]  Kenneth L. Kraemer,et al.  The Process of Innovation Assimilation by Firms in Different Countries: A Technology Diffusion Perspective on E-Business , 2006, Manag. Sci..

[9]  Hsiu-Yuan Wang,et al.  User acceptance of mobile internet based on the Unified Theory of Acceptance and Use of Technology: Investigating the determinants and gender differences , 2010 .

[10]  Douglas R. Vogel,et al.  How to satisfy citizens? Using mobile government to reengineer fair government processes , 2016, Decis. Support Syst..

[11]  Thompson S. H. Teo,et al.  Citizen Trust Development for E-Government Adoption and Usage: Insights from Young Adults in Singapore , 2009, Commun. Assoc. Inf. Syst..

[12]  S. O'Donohoe,et al.  Why young consumers are not open to mobile marketing communication , 2007 .

[13]  Valentina Ndou,et al.  E – Government for Developing Countries: Opportunities and Challenges , 2004, Electron. J. Inf. Syst. Dev. Ctries..

[14]  Sang M. Lee,et al.  M-government, from rhetoric to reality: learning from leading countries , 2006, Electron. Gov. an Int. J..

[15]  France Bélanger,et al.  The utilization of e‐government services: citizen trust, innovation and acceptance factors * , 2005, Inf. Syst. J..

[16]  Anastasia Papazafeiropoulou,et al.  Why people keep coming back to Facebook: Explaining and predicting continuance participation from an extended theory of planned behaviour perspective , 2013, Decis. Support Syst..

[17]  Sotiris Karetsos,et al.  Mobile government: A challenge for agriculture , 2008, Gov. Inf. Q..

[18]  Vishanth Weerakkody,et al.  Examining the influence of intermediaries in facilitating e-government adoption: An empirical investigation , 2013, Int. J. Inf. Manag..

[19]  Detmar W. Straub,et al.  Testing the technology acceptance model across cultures: A three country study , 1997, Inf. Manag..

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

[21]  Benoît Otjacques,et al.  Interoperability of E-Government Information Systems: Issues of Identification and Data Sharing , 2007, J. Manag. Inf. Syst..

[22]  Yogesh Kumar Dwivedi,et al.  SQ mGov: A Comprehensive Service-Quality Paradigm for Mobile Government , 2014, Inf. Syst. Manag..

[23]  Peter Woods,et al.  Predictors for E-government Adoption in Jordan: Deployment of an Empirical Evaluation Based on a Citizen-centric Approach , 2012, Inf. Technol. People.

[24]  Marjan Hericko,et al.  Factors impacting the acceptance of mobile data services - A systematic literature review , 2015, Comput. Hum. Behav..

[25]  Robert F. Easley,et al.  Research Note - How Does Personality Matter? Relating the Five-Factor Model to Technology Acceptance and Use , 2008, Inf. Syst. Res..

[26]  Sang M. Lee,et al.  Current practices of leading e-government countries , 2005, Commun. ACM.

[27]  Paul A. Pavlou,et al.  Understanding and Predicting Electronic Commerce Adoption: An Extension of the Theory of Planned Behavior , 2006, MIS Q..

[28]  Detmar W. Straub,et al.  Trust and TAM in Online Shopping: An Integrated Model , 2003, MIS Q..

[29]  Albert L. Lederer,et al.  A Meta-Analysis of the Role of Environment-Based Voluntariness in Information Technology Acceptance , 2009, MIS Q..

[30]  J. Hair.  Multivariate data analysis , 1972 .

[31]  Sven Laumer,et al.  Citizens’ Adoption Behavior of Mobile Government (mGov): A Cross-Cultural Study , 2016, Inf. Syst. Manag..

[32]  I. Ajzen.  Nature and operation of attitudes. , 2001, Annual review of psychology.

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

[34]  Anne P. Massey,et al.  Connecting IT Services Operations to Services Marketing Practices , 2010, J. Manag. Inf. Syst..

[35]  Michael J. Gallivan,et al.  Does Information Technology Training Really Matter? A Social Information Processing Analysis of Coworkers' Influence on IT Usage in the Workplace , 2005, J. Manag. Inf. Syst..

[36]  Anol Bhattacherjee,et al.  Acceptance of e-commerce services: the case of electronic brokerages , 2000, IEEE Trans. Syst. Man Cybern. Part A.

[37]  P. Verhoef,et al.  Marketing Communication Drivers of Adoption Timing of a New E-Service among Existing Customers , 2007 .

[38]  Fred D. Davis.  Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..

[39]  D. Gefen,et al.  E-commerce: the role of familiarity and trust , 2000 .

[40]  Lai Lai Tung,et al.  Adoption of electronic government services among business organizations in Singapore , 2005, J. Strateg. Inf. Syst..

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

[42]  Shan Ling Pan,et al.  Advancing Public Trust Relationships in Electronic Government: The Singapore E-Filing Journey , 2012, Inf. Syst. Res..

[43]  Anol Bhattacherjee,et al.  Influence Processes for Information Technology Acceptance: An Elaboration Likelihood Model , 2006, MIS Q..

[44]  J. Lin,et al.  The role of technology readiness in self‐service technology acceptance , 2011 .

[45]  Vishanth Weerakkody,et al.  E-government adoption: A cultural comparison , 2008, Inf. Syst. Frontiers.

[46]  Viswanath Venkatesh,et al.  Predicting Different Conceptualizations of System Use: The Competing Roles of Behavioral Intention, Facilitating Conditions, and Behavioral Expectation , 2008, MIS Q..

[47]  Peter A. Todd,et al.  Understanding Information Technology Usage: A Test of Competing Models , 1995, Inf. Syst. Res..

[48]  Izak Benbasat,et al.  Investigating the Influence of the Functional Mechanisms of Online Product Presentations , 2007 .

[49]  Tao Zhou,et al.  Integrating TTF and UTAUT to explain mobile banking user adoption , 2010, Comput. Hum. Behav..

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

[51]  Rohan De Silva,et al.  Mobile and wireless services and technologies for m-government solution proposal for Dubai government , 2010 .

[52]  Fred D. Davis,et al.  User Acceptance of Computer Technology: A Comparison of Two Theoretical Models , 1989 .

[53]  I. Ajzen.  The theory of planned behavior , 1991 .

[54]  Mark Wallace,et al.  The Effects of the Social Structure of Digital Networks on Viral Marketing Performance , 2008 .

[55]  Gianluca Misuraca,et al.  e-Government 2015: exploring m-government scenarios, between ICT-driven experiments and citizen-centric implications , 2009, Technol. Anal. Strateg. Manag..

[56]  Jatinder N. D. Gupta,et al.  Web services architecture for m-government: issues and challenges , 2004, Electron. Gov. an Int. J..

[57]  DongBack Seo,et al.  Comparing attitudes toward e-government of non-users versus users in a rural and urban municipality , 2016, Gov. Inf. Q..

[58]  Tao Zhou,et al.  Understanding mobile Internet continuance usage from the perspectives of UTAUT and flow , 2011 .

[59]  I. Ajzen,et al.  A Comparison of the Theory of Planned Behavior and the Theory of Reasoned Action , 1992 .

[60]  Mutaz M. Al-Debei,et al.  The imperative of influencing citizen attitude toward e-government adoption and use , 2015, Comput. Hum. Behav..

[61]  C. Reddick.  Citizens and Mobile Government Adoption: A Comparison of Activities and Uses , 2014 .

[62]  Anand Jeyaraj,et al.  Information technology adoption and continuance: A longitudinal study of individuals' behavioral intentions , 2013, Inf. Manag..

[63]  Tomasz Janowski,et al.  Digital government evolution: From transformation to contextualization , 2015, Gov. Inf. Q..

[64]  Satish R. Kolhe,et al.  Implications of mobile communication technologies (mct) in m-government: challenges, technology and applications , 2011 .

[65]  Steve Love,et al.  Building a User Centric Success Factors Model for Mobile Government , 2013, Int. J. E Serv. Mob. Appl..

[66]  Anol Bhattacherjee,et al.  Understanding Changes in Belief and Attitude Toward Information Technology Usage: A Theoretical Model and Longitudinal Test , 2004, MIS Q..

[67]  Sanjay K. Pandey,et al.  Exploring Public Sector Communication Performance: Testing a Model and Drawing Implications , 2006 .

[68]  Kar Yan Tam,et al.  Factors Affecting the Adoption of Open Systems: An Exploratory Study , 1997, MIS Q..

[69]  Kiseol Yang.  Determinants of US consumer mobile shopping services adoption: implications for designing mobile shopping services , 2010 .

[70]  Michael Parent,et al.  Building Citizen Trust Through E-government , 2005, Gov. Inf. Q..

[71]  Lisa Harris,et al.  EFFECTIVE USE OF MOBILE COMMUNICATIONS IN E-GOVERNMENT: How do we reach the tipping point? , 2008 .

[72]  Yogesh Kumar Dwivedi,et al.  Empirical Examination of the Role of Three Sets of Innovation Attributes for Determining Adoption of IRCTC Mobile Ticketing Service , 2015, Inf. Syst. Manag..

[73]  Li Jiang,et al.  Trust and Electronic Government Success: An Empirical Study , 2008, J. Manag. Inf. Syst..

[74]  A. Bandura.  Self-Efficacy: The Exercise of Control , 1997, Journal of Cognitive Psychotherapy.

[75]  Kieren Jamieson,et al.  Increasing learners’ satisfaction/intention to adopt more e-learning , 2013 .

[76]  Fred D. Davis,et al.  A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies , 2000, Management Science.

[77]  Changlin Wang,et al.  Antecedents and consequences of perceived value in Mobile Government continuance use: An empirical research in China , 2014, Comput. Hum. Behav..

[78]  E. Rogers.  Diffusion of Innovations , 1962 .

[79]  France Bélanger,et al.  A framework for e-government: privacy implications , 2006, Bus. Process. Manag. J..

[80]  I. Ajzen,et al.  Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research , 1977 .

[81]  Basit Shafiq,et al.  Enhancing the government service experience through QR codes on mobile platforms , 2014, Gov. Inf. Q..

[82]  James L. Garnett,et al.  Penetrating the Performance Predicament: Communication as a Mediator or Moderator of Organizational Culture’s Impact on Public Organizational Performance , 2008 .

[83]  Gordon B. Davis,et al.  User Acceptance of Information Technology: Toward a Unified View , 2003, MIS Q..

[84]  Robert Goodwin,et al.  User acceptance of SMS-based e-government services: Differences between adopters and non-adopters , 2013, Gov. Inf. Q..

[85]  Jorge Gonçalves,et al.  Citizen Motivation on the Go: The Role of Psychological Empowerment , 2014, Interact. Comput..

[86]  Jing Zhu,et al.  A meta-analysis of mobile commerce adoption and the moderating effect of culture , 2012, Comput. Hum. Behav..

[87]  Dan Jong Kim,et al.  Exploring Online Transaction Self-Efficacy in Trust Building in B2C E-Commerce , 2009, J. Organ. End User Comput..

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

[89]  Michael J. Dorsch,et al.  Comparing the Application of Integrated Marketing Communication (IMC) in Magazine Ads Across Product Type and Time , 2007 .

[90]  Lemuria Carter,et al.  The role of security and trust in the adoption of online tax filing , 2011 .

[91]  Tracy L. Tuten,et al.  Personality determinants of online shopping : Explaining online purchase intentions using a hierarchical approach , 2007 .

[92]  Ke Chen,et al.  Gerontechnology acceptance by elderly Hong Kong Chinese: a senior technology acceptance model (STAM) , 2014, Ergonomics.

[93]  H. Raghav Rao,et al.  Trust and Satisfaction, Two Stepping Stones for Successful E-Commerce Relationships: A Longitudinal Exploration , 2009, Inf. Syst. Res..