Research on e-Government evaluation model based on the principal component analysis

Over the last few years, the area of electronic government (e-Government) has received increasing prominence and attention; people are interacting with e-Government systems to an ever greater extent. It is therefore important to measure the development of e-Government. Adopting principal component analysis (PCA), this study presents, validates and updates an evaluation model with 5 dimensions based on Socio-Technical model and Stakeholder Theory, which captures the multidimensional and interdependent nature of e-Government system. The validity of the model is empirically investigated using a sample of local e-Government of 18 cities in China, all of which have high Internet penetration and mature ICT use. The five dimensions of the evaluation model include project construction, information security management, special construction, transparency of government affairs and informationized ability. K-means clustering is applied in the subspace created by PCA to evaluate the local e-Government stages of growth of these 18 cities. The findings provide several important implications for e-Government research and practice.

[1]  Brian Detlor,et al.  Towards a Framework for Government Portal Design: The Government, Citizen and Portal Perspectives , 2002 .

[2]  Charles Kaylor,et al.  Gauging e-government: A report on implementing services among American cities , 2001, Gov. Inf. Q..

[3]  Uday R. Kulkarni,et al.  A Knowledge Management Success Model: Theoretical Development and Empirical Validation , 2006, J. Manag. Inf. Syst..

[4]  Vicente Pina,et al.  E-government developments on delivering public services among EU cities , 2005, Gov. Inf. Q..

[5]  Ling Li,et al.  Creation of environmental health information system for public health service: A pilot study , 2008, Inf. Syst. Frontiers.

[6]  Martin Hughes,et al.  Implementation Strategies for E-Government: A Stakeholder Analysis Approach , 2004, ECIS.

[7]  J. A. Hartigan,et al.  A k-means clustering algorithm , 1979 .

[8]  Michael I. Jordan,et al.  On Spectral Clustering: Analysis and an algorithm , 2001, NIPS.

[9]  Dag H. Olsen,et al.  Local E-Government in Norway: Current Status and Emerging Issues , 2005, Scand. J. Inf. Syst..

[10]  Linda Dawson,et al.  Evolution of local government e-services: the applicability of e-business maturity models , 2004, 37th Annual Hawaii International Conference on System Sciences, 2004. Proceedings of the.

[11]  Johannes Leo,et al.  Book reviewCompetitive strategy: Techniques for analysing industries and competitors : Porter, Michael E. Free Press (Macmillan), New York, 396 pages, $17.95 , 1982 .

[12]  Ian Richardson,et al.  Diagnosing information systems success: importance-performance maps in the health club industry , 2001, Inf. Manag..

[13]  Alemayehu Molla,et al.  E-Commerce Systems Success: An Attempt to Extend and Respecify the Delone and MaClean Model of IS Success , 2001, J. Electron. Commer. Res..

[14]  W. Li,et al.  Application controlled caching for web servers , 2007, Enterp. Inf. Syst..

[15]  Karl Pearson F.R.S. LIII. On lines and planes of closest fit to systems of points in space , 1901 .

[16]  Paul Jen-Hwa Hu,et al.  Evaluating telemedicine systems success: a revised model , 2003, 36th Annual Hawaii International Conference on System Sciences, 2003. Proceedings of the.

[17]  Huoy Min Khoo,et al.  The Evolution of e-Commerce Research: A Stakeholder Perspective , 2005 .

[18]  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..

[19]  Frank Leymann,et al.  Conversational Web Services: leveraging BPELlight for expressing WSDL 2.0 message exchange patterns , 2009, Enterp. Inf. Syst..

[20]  Vichita Vathanophas,et al.  Enterprise resource planning: technology acceptance in Thai universities , 2009, Enterp. Inf. Syst..

[21]  Sushil K. Sharma,et al.  Assessing e-government implementations , 2004, Electron. Gov. an Int. J..

[22]  Rob Kling What Is Social Informatics and Why Does It Matter? , 2007, Inf. Soc..

[23]  Chris H. Q. Ding,et al.  Spectral Relaxation for K-means Clustering , 2001, NIPS.

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

[25]  Jinlong Zhang,et al.  Assessing the impacts of South-to-North Water Transfer Project with decision support systems , 2007, Decis. Support Syst..

[26]  Carmine Scavo,et al.  World wide web site design and use in public management , 1999 .

[27]  Mateja Kunstelj,et al.  Evaluating the progress of e-government development: A critical analysis , 2004, Inf. Polity.

[28]  Lida Xu,et al.  An Integrated Approach for Agricultural Ecosystem Management , 2008, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[29]  V. S. Ananthanarayana,et al.  Dynamic selection mechanism for quality of service aware web services , 2010, Enterp. Inf. Syst..

[30]  Jian Yang,et al.  Towards policy driven context aware differentiated services design and development , 2008, Enterp. Inf. Syst..

[31]  Guy Paré,et al.  Evaluating PACS Success: A Multidimensional Model , 2005, Proceedings of the 38th Annual Hawaii International Conference on System Sciences.

[32]  J. MacQueen Some methods for classification and analysis of multivariate observations , 1967 .

[33]  L. Preston,et al.  The Stakeholder Theory of the Corporation: Concepts, Evidence, and Implications , 1995 .

[34]  Mourad Debbabi,et al.  QoS-aware middleware for web services composition: a qualitative approach , 2009, Enterp. Inf. Syst..

[35]  Arun Rai,et al.  Assessing the Validity of IS Success Models: An Empirical Test and Theoretical Analysis , 2002, Inf. Syst. Res..

[36]  H. Hotelling Analysis of a complex of statistical variables into principal components. , 1933 .

[37]  Alok Mishra,et al.  E-Government: A global view and an empirical evaluation of some attributes of citizens , 2005, Gov. Inf. Q..

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

[39]  Petter Gottschalk,et al.  Organizational culture as determinant of enterprise information systems use in police investigations , 2007, Enterp. Inf. Syst..

[40]  Paul T. Jaeger,et al.  The endless wire: e-government as global phenomenon , 2003, Gov. Inf. Q..

[41]  Schahram Dustdar,et al.  Top-down business process development and execution using quality of service aspects , 2008, Enterp. Inf. Syst..

[42]  Leo Lentz,et al.  Scenario evaluation of municipal Web sites: Development and use of an expert-focused evaluation tool , 2006, Gov. Inf. Q..

[43]  A. McNair THE HALF-LIFE OF VANADIUM-50 , 1961 .

[44]  Jen-Her Wu,et al.  An organizational memory information systems success model: an extension of DeLone and McLean's I/S success model , 1998, Proceedings of the Thirty-First Hawaii International Conference on System Sciences.

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

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

[47]  Jeremy Rose,et al.  Stakeholder Governance: Adapting Stakeholder Theory to E-Government , 2005, Commun. Assoc. Inf. Syst..

[48]  Li Wang,et al.  Knowledge portal construction and resources integration for a large scale hydropower dam , 2009 .

[49]  C. Prins Designing e-government , 2007 .

[50]  Paul W. P. J. Grefen,et al.  Towards a contractual approach for transaction management 1 , 2008, Enterp. Inf. Syst..

[51]  I. Jolliffe Principal Component Analysis , 2002 .

[52]  Jing Zhang,et al.  Exploring stakeholders' expectations of the benefits and barriers of e-government knowledge sharing , 2005, J. Enterp. Inf. Manag..

[53]  Robert P. Bostrom,et al.  MIS Problems and failures: a sociotechnical perspective part I: the cause , 1977 .

[54]  Jean-Paul Jamont,et al.  Flood decision support system on agent grid: method and implementation , 2007, Enterp. Inf. Syst..

[55]  Tao Zhang,et al.  A modelling approach to service-oriented architecture , 2008, Enterp. Inf. Syst..

[56]  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..

[57]  Xiaohong Guan,et al.  An SVM-based machine learning method for accurate internet traffic classification , 2010, Inf. Syst. Frontiers.

[58]  Theresa A. Pardo,et al.  Multi-Method Approaches to Digital Government Research: Value Lessons and Implementation Challenges , 2006, Proceedings of the 39th Annual Hawaii International Conference on System Sciences (HICSS'06).

[59]  Jane E. Klobas,et al.  User Developed Applications and Information Systems Success: A Test of DeLone and McLean's Model , 2003, Inf. Resour. Manag. J..

[60]  Å. Grönlund Electronic Government: Design, Applications and Management , 2001 .