Factors Affecting the Adoption of e-Government in Kuwait : A Qualitative Study

Previous research on information quality and organizations performance focuses on private sectors and pays little attention to governments and public organizations. To the best of the researchers’ knowledge, e-Government success literature has rarely investigated information quality as a contributor to the success of e-Government initiatives in Kuwait. This paper aims to understand the factors that may influence or hinder for enabling e-Government strategic benefits in Kuwait. Data were collected from 31 employees through one-on-one interviews at three e-Government Kuwaiti agencies namely, Ministry of Justice, Ministry of Finance and Public Authority for Civil Communication. The study findings revealed that several themes (i.e. information quality, strategic benefits, and institutional values) were observed to achieve better eGovernment Benefits. The research also reveals some new drivers (Cost saving and customer satisfaction) and barriers (e.g. Nepotism and Wasta) to improving organizational performance. These results and their implications to both theory and practice are described.

[1]  Ali Tarhini,et al.  A multi-analytical model for mobile banking adoption: a developing country perspective , 2017 .

[2]  B. Obeidat,et al.  The impact of knowledge management on innovation: An empirical study on Jordanian consultancy firms , 2016 .

[3]  Keld Pedersen.  eGovernment in Local Government: Challenges and Capabilities , 2016 .

[4]  Muthu Ramachandran,et al.  Factors affecting citizens' use of social media to communicate with the government: a proposed model , 2016 .

[5]  Sujeet Kumar Sharma,et al.  A multi-analytical approach to understand and predict the mobile commerce adoption , 2016, J. Enterp. Inf. Manag..

[6]  Mature Discipline : Trends , Themes , Philosophies , Methodologies , and Methods , 2016 .

[7]  V. Mbarika,et al.  Evaluation of E-Government Implementation: The Case of State Government Websites in Nigeria , 2016 .

[8]  Ali Tarhini,et al.  Impact of individualism and collectivism over the individual's technology acceptance behaviour: A multi-group analysis between Pakistan and Turkey , 2015, J. Enterp. Inf. Manag..

[9]  Nalin Asanka Gamagedara Arachchilage,et al.  A Critical Review of Theories and Models of Technology Adoption and Acceptance in Information System Research , 2015, Int. J. Technol. Diffusion.

[10]  Ali Tarhini,et al.  Development of quantitative model to investigate the strategic relationship between information quality and e-government benefits , 2015 .

[11]  Yogesh Kumar Dwivedi,et al.  Citizen's adoption of an e-government system: Validating extended social cognitive theory (SCT) , 2015, Gov. Inf. Q..

[12]  Thomas C. Redman,et al.  Measuring Data Accuracy: A Framework and Review , 2014 .

[13]  S. Metzger,et al.  A Transparent and Transferable Framework for Tracking Quality Information in Large Datasets , 2014, PloS one.

[14]  Tung-Mou Yang,et al.  Exploring the determinants of cross-boundary information sharing in the public sector: An e-Government case study in Taiwan , 2014, J. Inf. Sci..

[15]  Nunzio Casalino.  Learning to Connect: A Training Model for Public Sector on Advanced E-Government Services and Inter-Organizational Cooperation , 2014, Int. J. Adv. Corp. Learn..

[16]  Xavier Franch,et al.  Dealing with information quality in software package selection: an empirically based approach , 2014, IET Softw..

[17]  Mary K. Feeney,et al.  Adoption of Electronic Technologies in Local U.S. Governments , 2014 .

[18]  Hafedh Al-Shihi,et al.  Exploring quality of e-Government services in Oman , 2013 .

[19]  Paul T. Jaeger,et al.  Delivering e-government services and transforming communities through innovative partnerships: Public libraries, government agencies, and community organizations , 2013, Inf. Polity.

[20]  Jin Chen,et al.  E-government adoption in public administration organizations: integrating institutional theory perspective and resource-based view , 2013, Eur. J. Inf. Syst..

[21]  R. Masa’deh.  The Impact of Information Technology Infrastructure Flexibility on Firm Performance: An Empirical Study of Jordanian Public Shareholding Firms , 2013 .

[22]  Ephraim R. McLean,et al.  Information Systems Success: The Quest for the Dependent Variable , 1992, Inf. Syst. Res..

[23]  Hussain Alenezi,et al.  Investigating the strategic relationship between information quality and e-government benefits , 2013 .

[24]  Robert Young,et al.  Explaining Variation in the E-Government Features of Municipal Websites: An Analysis of E-Content, E-Participation, and Social Media Features in Canadian Municipal Websites , 2012 .

[25]  Muhammad Alshurideh,et al.  The Effect of Perceived Service Quality on Customer Loyalty in Internet Service Providers in Jordan , 2012 .

[26]  T. Wohlers,et al.  Innovative City Hall: A Comparative Case Study of Policy Adoption in the U.S. and France , 2012 .

[27]  Yogesh Kumar Dwivedi,et al.  E-Government Adoption Research: a Meta-Analysis of Findings , 2012, ECIS.

[28]  Jurij Jaklic,et al.  The Impact of Quality Information Provided by Business Intelligence Systems on the Use of Information in Business Processes , 2011, CENTERIS.

[29]  N. Scott,et al.  Tourist destination governance: Some approaches and suggestions for future research , 2011 .

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

[31]  Lei Zheng,et al.  Leadership behaviors in cross-boundary information sharing and integration: comparing the US and China , 2009, ICEGOV '09.

[32]  Carlo Batini,et al.  Methodologies for data quality assessment and improvement , 2009, CSUR.

[33]  Mei-Chen Lo,et al.  The assessment of the information quality with the aid of multiple criteria analysis , 2009, Eur. J. Oper. Res..

[34]  S. E. Colesca,et al.  Adoption and use of E-Government services: The case of Romania , 2008 .

[35]  Lorne Olfman,et al.  The Influence of On-Line Brand Community Characteristics on Community Commitment and Brand Loyalty , 2008, Int. J. Electron. Commer..

[36]  Dimitris Gouscos,et al.  A general model of performance and quality for one-stop e-Government service offerings , 2007, Gov. Inf. Q..

[37]  Ralf Klischewski,et al.  E-Government Integration and Interoperability: Framing the Research Agenda , 2007 .

[38]  Vinod Kumar,et al.  Factors for Successful e‑Government Adoption: a Conceptual Framework , 2007 .

[39]  InduShobha N. Chengalur-Smith,et al.  Collaborative e-Government: impediments and benefits of information-sharing projects in the public sector , 2007, Eur. J. Inf. Syst..

[40]  C. Voss,et al.  The Impact of Favouritism on the Business Climate: A Study on Wasta in Jordan , 2007 .

[41]  V. Braun,et al.  Using thematic analysis in psychology , 2006 .

[42]  Hafedh Al-Shihi,et al.  Critical Factors in the Adoption and Diffusion of E-Government Initiatives in Oman , 2006 .

[43]  John P. Slone.  INFORMATION QUALITY STRATEGY: AN EMPIRICAL INVESTIGATION OF THE RELATIONSHIP BETWEEN INFORMATION QUALITY IMPROVEMENTS AND ORGANIZATIONAL OUTCOMES , 2006 .

[44]  Zahir Irani,et al.  E-government adoption: architecture and barriers , 2005, Bus. Process. Manag. J..

[45]  Marinos Themistocleous,et al.  Evaluating e‐government: learning from the experiences of two UK local authorities , 2005, Inf. Syst. J..

[46]  Carlo Batini,et al.  Data Quality at a Glance , 2005, Datenbank-Spektrum.

[47]  José Ramón Gil-García,et al.  Understanding the complexity of electronic government: Implications from the digital divide literature , 2005, Gov. Inf. Q..

[48]  P. R. H. Hendriks,et al.  Specifying software quality with the extended ISO model , 1996, Software Quality Journal.

[49]  Tony Norris,et al.  The Development of a Healthcare Data Quality Framework and Strategy , 2004, ICIQ.

[50]  Traci Campbell,et al.  Using the Data Quality Scorecard as a Negotiation Strategy , 2004, ICIQ.

[51]  Costas Lambrinoudakis,et al.  Security requirements for e-government services: a methodological approach for developing a common PKI-based security policy , 2003, Comput. Commun..

[52]  R. P. Srivastava,et al.  A conceptual framework and belief‐function approach to assessing overall information quality , 2003, Int. J. Intell. Syst..

[53]  M. P. Gupta,et al.  E-government evaluation: a framework and case study , 2003, Gov. Inf. Q..

[54]  Diane M. Strong,et al.  AIMQ: a methodology for information quality assessment , 2002, Inf. Manag..

[55]  A. Ho.  Reinventing Local Governments and the E‐Government Initiative , 2002 .

[56]  Liping Liu,et al.  Evolutional Data Quality: A Theory-Specific View , 2002, ICIQ.

[57]  Nha Nguyen,et al.  Corporate image and corporate reputation in customers` retention decisions in services , 2001 .

[58]  M. Denscombe.  The Good Research Guide: for small-scale social research projects , 1998 .

[59]  Richard Y. Wang,et al.  Modeling Information Manufacturing Systems to Determine Information Product Quality Management Scien , 1998 .

[60]  Richard Y. Wang,et al.  Manage Your Information as a Product , 1998 .

[61]  Diane M. Strong,et al.  Beyond Accuracy: What Data Quality Means to Data Consumers , 1996, J. Manag. Inf. Syst..

[62]  Veda C. Storey,et al.  A Framework for Analysis of Data Quality Research , 1995, IEEE Trans. Knowl. Data Eng..

[63]  Matthias Jarke,et al.  A deductive object base for metadata management , 1995 .

[64]  Niv Ahituv,et al.  Assessing Data Reliability in an Information System , 1987, J. Manag. Inf. Syst..

[65]  W. Deming.  Quality, productivity, and competitive position , 1982 .

[66]  Richard B. Maffei.  Simulation, Sensitivity, and Management Decision Rules , 1958 .