European Conference on Information Systems ( ECIS ) Summer 10-6-2011 IT QUALITY AND EGOVERNMENT NET BENEFITS : A CITIZEN PERSPECTIVE

The ultimate question about the success of eGovernment depends on how citizens perceive its value. Understanding success in Information Systems (IS) is however a complex challenge made more difficult when set in the public sector environment. While private sector studies may focus on profitability efficiency, quality and reliability, public sector evaluation must combine these concerns with accountability, citizen trust and the creation of public value. This research adopts the Public Value approach to provide the first empirical assessment of eGovernment success from a citizen perspective. It is also the first study to identify the important IT Quality dimensions that have a positive impact on success. This paper identifies the specific constructs within Information, System and Service Quality that predict citizen value perceptions. This level of granularity provides an important contribution in advancing a deeper understanding of the dynamics of eGovernment success. The novel environment of Web 2.0 in eGovernment is also explored, resulting in new findings that define what citizens’ value in this mode of interaction. This research therefore contributes to the body of knowledge by increasing our understanding of what citizens’ value in eGovernment services and what aspects of IT Quality influence eGovernment success.

[1]  Peter Muhlberger,et al.  Human Agency and the Revitalization of the Public Sphere , 2005 .

[2]  Chang Liu,et al.  Exploring the factors associated with Web site success in the context of electronic commerce , 2000, Inf. Manag..

[3]  Åke Grönlund,et al.  Introducing e-Gov: History, Definitions, and Issues , 2005, Commun. Assoc. Inf. Syst..

[4]  France Bélanger,et al.  Trust and Risk in eGovernment Adoption , 2008, AMCIS.

[5]  G. Stoker Public Value Management , 2006 .

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

[7]  Kim Normann Andersen,et al.  Fads and Facts of E-Government: A Review of Impacts of E-government (2003–2009) , 2010 .

[8]  B. Tabachnick,et al.  Using Multivariate Statistics , 1983 .

[9]  Christopher G. Reddick,et al.  Citizen interaction with e-government: From the streets to servers? , 2005, Gov. Inf. Q..

[10]  M. Lynn Determination and quantification of content validity. , 1986, Nursing research.

[11]  Terry Anthony Byrd,et al.  A methodology for construct development in MIS research , 2005, Eur. J. Inf. Syst..

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

[13]  J. C. Thomas,et al.  The New Face of Government: Citizen-Initiated Contacts in the Era of E-Government , 2003 .

[14]  Ephraim R. McLean,et al.  Measuring e-Commerce Success: Applying the DeLone & McLean Information Systems Success Model , 2004, Int. J. Electron. Commer..

[15]  Gilbert A. Churchill A Paradigm for Developing Better Measures of Marketing Constructs , 1979 .

[16]  Christopher G. Reddick,et al.  Information Resource Managers and E-government Effectiveness: A Survey of Texas State Agencies , 2006, Gov. Inf. Q..

[17]  D. Dillman Mail and internet surveys: The tailored design method, 2nd ed. , 2007 .

[18]  M. J. Moon,et al.  Linking Citizen Satisfaction with E-Government and Trust in Government , 2004 .

[19]  Forrest V. Morgeson,et al.  Does E‐Government Measure Up to E‐Business? Comparing End User Perceptions of U.S. Federal Government and E‐Business Web Sites , 2009 .

[20]  Yi-Shun Wang,et al.  Assessing eGovernment systems success: A validation of the DeLone and McLean model of information systems success , 2008, Gov. Inf. Q..

[21]  R A Berk,et al.  Importance of Expert Judgment in Content-Related Validity Evidence , 1990, Western journal of nursing research.

[22]  Richard T. Watson,et al.  Analyzing the Past to Prepare for the Future: Writing a Literature Review , 2002, MIS Q..

[23]  Anthony Meehan,et al.  Evaluative design of e‐government projects: A community development perspective , 2007 .

[24]  Santa Clara,et al.  Research Issues in Social Computing * , 2007 .

[25]  D. Straub Validating Instruments in MIS Research 1 , 2002 .

[26]  J. Nunnally Psychometric Theory (2nd ed), New York: McGraw-Hill. , 1978 .

[27]  Peter A. Todd,et al.  Perceived Usefulness, Ease of Use, and Usage of Information Technology: A Replication , 1992, MIS Q..

[28]  Eelko K. R. E. Huizingh,et al.  The content and design of web sites: an empirical study , 2000, Inf. Manag..

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

[30]  Andreas Abecker,et al.  Transforming E-government and E-participation through IT , 2009, IEEE Intell. Syst..

[31]  Dan J. Kim,et al.  Global Diffusion of the Internet XV: Web 2.0 Technologies, Principles, and Applications: A Conceptual Framework from Technology Push and Demand Pull Perspective , 2009, Commun. Assoc. Inf. Syst..

[32]  Albert H. Segars,et al.  Re-examining perceived ease of use and usefulness , 1993 .

[33]  William Golden,et al.  Understanding Net Benefits: A Citizen-Based Perspective on eGovernment Success , 2009, ICIS.

[34]  Frank Bannister,et al.  Government website service quality: a study of the Irish revenue online service , 2010, Eur. J. Inf. Syst..

[35]  Richard T. Vidgen,et al.  Data triangulation and web quality metrics: A case study in e-government , 2006, Inf. Manag..

[36]  Robert F. DeVellis,et al.  Scale Development: Theory and Applications. , 1992 .

[37]  M. Moore,et al.  PUBLIC VALUE AS THE FOCUS OF STRATEGY , 1994 .

[38]  Victor R. Prybutok,et al.  A consumer perspective of E-service quality , 2005, IEEE Transactions on Engineering Management.

[39]  D. Gilbert,et al.  Barriers and benefits in the adoption of e‐government , 2004 .

[40]  Detmar W. Straub,et al.  The Relative Importance of Perceived Ease of Use in IS Adoption: A Study of E-Commerce Adoption , 2000, J. Assoc. Inf. Syst..

[41]  Tibert Verhagen,et al.  Online store image: conceptual foundations and empirical measurement , 2004, Inf. Manag..

[42]  Robert K. Gable,et al.  Instrument Development in the Affective Domain: Measuring Attitudes and Values in Corporate and School Settings , 1993 .

[43]  Jonathan W. Palmer,et al.  Web Site Usability, Design, and Performance Metrics , 2002, Inf. Syst. Res..

[44]  P. Bahr,et al.  Sampling: Theory and Applications , 2020, Applied and Numerical Harmonic Analysis.

[45]  Robin Gauld,et al.  The Participation Divide? Political Participation, Trust in Government, and E‐government in Australia and New Zealand , 2009 .

[46]  R. Weber Basic Content Analysis , 1986 .

[47]  Detmar W. Straub,et al.  Validation Guidelines for IS Positivist Research , 2004, Commun. Assoc. Inf. Syst..

[48]  V. Tilden,et al.  Use of Qualitative Methods to Enhance Content Validity , 1990, Nursing research.

[49]  Janine O’Flynn,et al.  From New Public Management to Public Value: Paradigmatic Change and Managerial Implications , 2007 .

[50]  Detmar W. Straub,et al.  Validation in Information Systems Research: A State-of-the-Art Assessment , 2001, MIS Q..

[51]  Peter B. Seddon,et al.  A Partial Test and Development of Delone and Mclean's Model of IS Success , 1996, Australas. J. Inf. Syst..

[52]  Dewi Rooslani Tojib,et al.  User satisfaction with business-to-employee portals: conceptualization and scale development , 2008, Eur. J. Inf. Syst..

[53]  Gregory Streib,et al.  Citizen Demand for Interactive E-Government , 2006 .

[54]  Ephraim R. McLean,et al.  The DeLone and McLean Model of Information Systems Success: A Ten-Year Update , 2003, J. Manag. Inf. Syst..

[55]  Peter B. Seddon A Respecification and Extension of the DeLone and McLean Model of IS Success , 1997, Inf. Syst. Res..

[56]  L. Davis,et al.  Selection and use of content experts for instrument development. , 1997, Research in nursing & health.

[57]  Martin Hughes,et al.  The role of business process redesign in creating e-government in Ireland , 2006, Bus. Process. Manag. J..

[58]  Richard G. Netemeyer,et al.  Scaling Procedures: Issues and Applications , 2003 .

[59]  Andrew McAfee,et al.  Enterprise 2.0: the dawn of emergent collaboration , 2006, IEEE Engineering Management Review.

[60]  Robert M. O'Keefe,et al.  Expectations and outcomes in electronic identity management: the role of trust and public value , 2010, Eur. J. Inf. Syst..

[61]  S. Coleman Connecting Parliament to the Public via the Internet , 2004 .

[62]  Izak Benbasat,et al.  Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation , 1991, Inf. Syst. Res..

[63]  Fatemeh Zahedi,et al.  The Measurement of Web-Customer Satisfaction: An Expectation and Disconfirmation Approach , 2002, Inf. Syst. Res..

[64]  Darshana Sedera,et al.  Re-conceptualizing Information System Success: The IS-Impact Measurement Model , 2008, J. Assoc. Inf. Syst..

[65]  Jeremy Rose,et al.  The shape of eParticipation: Characterizing an emerging research area , 2008, Gov. Inf. Q..

[66]  L. Lee-Kelley,et al.  Citizens' attitudes towards e‐government and e‐governance: a UK study , 2008 .

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

[68]  M. Moore Creating public value : strategic management in government , 1995 .

[69]  William J. Kettinger,et al.  Perceived Service Quality and User Satisfaction with the Information Services Function , 1994 .

[70]  W. Stallings,et al.  SIXTH EDITION , 2000 .

[71]  M. J. Moon The Evolution of E-Government among Municipalities: Rhetoric or Reality? , 2002 .

[72]  Michael Grimsley,et al.  e-Government information systems: Evaluation-led design for public value and client trust , 2007, Eur. J. Inf. Syst..

[73]  Ephraim R. McLean,et al.  Measuring information systems success: models, dimensions, measures, and interrelationships , 2008, Eur. J. Inf. Syst..