COGNITIVE DIFFERENCES IN SERVICE QUALITY BETWEEN E-GOVERNMENT USERS AND ADMINISTRATORS

After Taiwan governments implement it’s egovernment portal (MyeGov, www.gov.tw) in 2002 as a means of delivering better information services and resources, building quality service that encourage citizen uptake is becoming an increasing challenge. This paper addresses this issue and examines the quality divide cause by the cognitive difference between users and administrators of the egovernment portal. To understand what governments need to do to secure successful implementation of comprehensive government service that are relevant to citizens, the services quality of e-government portals are scrutinized through a survey on both its users and administrators. The investigation instrument is based on the conceptual model of service quality proposed by Parasuraman, Zeithaml and Berry. The research finds that the user’s intention of re-use the e-Government portal is highly associated with their service quality factors. The research also provides insights for government officials and practitioners to understand and improve e-Government practice by identify major cognitive difference between e-government portal’s users and its administrators that cause the low usage rate of the e-government portal.

[1]  V. Zeithaml,et al.  E-S-QUAL A Multiple-Item Scale for Assessing Electronic Service Quality , 2004 .

[2]  Janjaap Semeijn,et al.  Online Travel Service Quality: the Role of Pre-Transaction Services , 2004 .

[3]  Lori N. K. Leonard,et al.  Consumer-to-Consumer Electronic Commerce: A Distinct Research Stream , 2007, J. Electron. Commer. Organ..

[4]  M. Gilly,et al.  eTailQ: dimensionalizing, measuring and predicting etail quality , 2003 .

[5]  A. Parasuraman,et al.  A Conceptual Model of Service Quality and Its Implications for Future Research , 1985 .

[6]  Jinwoo Kim,et al.  Critical design factors for successful e-commerce systems , 2002, Behav. Inf. Technol..

[7]  Richard T. Vidgen,et al.  An Integrative Approach to the Assessment of E-Commerce Quality , 2002, J. Electron. Commer. Res..

[8]  C. Fornell,et al.  Evaluating structural equation models with unobservable variables and measurement error. , 1981 .

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

[10]  Ming Wang Assessment of E‐Service Quality via E‐Satisfaction in E‐Commerce Globalization , 2003, Electron. J. Inf. Syst. Dev. Ctries..

[11]  Tsuang Kuo,et al.  Measuring users' perceived portal service quality: An empirical study , 2005 .

[12]  I. Chen,et al.  IT‐based services and service quality in consumer banking , 2002 .

[13]  Borworn Papasratorn,et al.  Quality Enhancing the Continued Use of E-Government Web Sites: Evidence from E-Citizens of Thailand , 2009, Int. J. Electron. Gov. Res..

[14]  Panagiotis Trivellas,et al.  Internet service quality and customer satisfaction: Examining internet banking in Greece , 2009 .

[15]  Samar I. Swaid,et al.  Measuring the Quality of E-Service: Scale Development and Initial Validation , 2009 .

[16]  Juhani Iivari,et al.  An empirical test of the DeLone-McLean model of information system success , 2005, DATB.

[17]  A. Parasuraman,et al.  SERVQUAL: A multiple-item scale for measuring consumer perceptions of service quality. , 1988 .

[18]  Mohd Hasan Selamat,et al.  The impact of technological factors on information systems success in the electronic-government context , 2007, Bus. Process. Manag. J..

[19]  Gwo-Guang Lee,et al.  Customer perceptions of e‐service quality in online shopping , 2005 .

[20]  Jessica Santos E‐service quality: a model of virtual service quality dimensions , 2003 .

[21]  Mark Vandenbosch,et al.  Research Report: Richness Versus Parsimony in Modeling Technology Adoption Decisions - Understanding Merchant Adoption of a Smart Card-Based Payment System , 2001, Inf. Syst. Res..