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

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Abstract

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.

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References

  1. Akman I, Yazicib A, Mishraa A, Arifogluc A (2005) EGovernment: a global view and an empirical evaluation of some attributes of citizens. Gov Info Q 22(5):239–257

    Article  Google Scholar 

  2. Baum C, Di Maio A, Caldwell F (2000) What is eGovernment? Gartner’s definitions. Res Note (TU-11-6474)

  3. Bostrom RP, Heinen JS (1977) MIS problems and failures: a socio-technical perspective. MIS Q 1(3):17–32

    Article  Google Scholar 

  4. Carbo T, Williams JG (2004) Models and metrics for evaluating local electronic government systems and services. Electron J EGov 2(2):95–104

    Google Scholar 

  5. Chua CEH, Straub DW, Khoo HM, Kadiyala S, Kuechler D (2005) The evolution of E-commerce research: a stakeholder perspective. J Electron Commer Res 6(4):262–279

    Google Scholar 

  6. De Jong M, Lentz L (2006) Scenario evaluation of municipal Web sites: development and use of an expert focused evaluation tool. Gov Info Q 23(2):191–206

    Article  Google Scholar 

  7. DeLone WH, McLean ER (2004) Measuring E-Commerce success: applying the DeLone & McLean information systems success model. Int J Electron Commer 9(1):31–47

    Google Scholar 

  8. Detlor B, Finn K (2002) Towards a framework for government portal design: the government, citizen and portal perspectives. In: Gronlund A (ed) Electronic government: design, applications and management. Idea Group Publishing, Hershey, pp 99–119

    Google Scholar 

  9. D’Mello D, Ananthanarayana V (2010) Dynamic selection mechanism for quality of service aware web services. Enterp Info Syst 4(1):23–60

    Article  Google Scholar 

  10. Donaldson T, Preston L (1995) The stakeholder theory of the modern corporation: concepts, evidence and implications. Acad Manag Rev 20:65–91

    Google Scholar 

  11. Feng S, Li XL, Duan GZ, Zhang LJ (2007) Assessing the impacts of south-to-north water transfer project with decision support system. Decision Support Syst 42:1989–2003

    Article  Google Scholar 

  12. Flak LS, Olsen DH, Wolcott P (2005) Local E-Government in Norway: current status and emerging issues. Scand J Info Syst 17(2):41–84

    Google Scholar 

  13. Flak LS, Rose J (2005) Stakeholder governance: adapting stakeholder theory to e-government. Comm Assoc Info Syst 16(31):1–46

    Google Scholar 

  14. Gil-Garcia JR, Pardo TA (2006) Multi-method approaches to digital government research: Value lessons and implementation challenges. In: 39th annual Hawaii International conference system science (HICSS’06), Track 4, Hawaii

  15. Gottschalk P (2007) Organizational culture as determinant of enterprise information systems use in police investigation. Enterp Info Syst 1(4):443–455

    Article  Google Scholar 

  16. Gupta MP, Jana D (2003) EGovernment evaluation: a framework and case study. Gov Info Q 20(4):365–387

    Article  Google Scholar 

  17. Hartigan J, Wang M (1979) A K-means clustering algorithm. Appl Stat 28:100–108

    Article  Google Scholar 

  18. Heeks R (2001) Building eGovernance for development: a framework for national donor action: egovernment working paper series. EGovernment working paper series, University of Manchester, UK, pp 33

  19. Hotelling H (1933) Analysis of a complex of statistical variables into principal components. J Edu Psychol 24:417–441

    Article  Google Scholar 

  20. Hu PJ-H (2003) Evaluating telemedicine systems success: a revised model. In: 36th Hawaii international conference system science (HICSS 03). Big Island, Hawaii

  21. Hung S, Chang C, Yu T (2006) Determinants of user acceptance of the eGovernment services: the case of online tax filing and payment system. Gov Info Q 23(1):97–122

    Article  Google Scholar 

  22. Hunter DR, Jupp V (2001) EGovernment leadership: rhetoric vs reality—closing the gap: accenture. http://www.accenture.com

  23. Iivari J (2005) An empirical test of the DeLone-McLean model of information system success. The DATABASE Adv Info Syst 26(2):8–27

    Google Scholar 

  24. Issa H, Assi C, Debbabi M, Ray S (2009) QoS-aware middleware for web services composition: a qualitative approach. Enterp Info Syst 3(4):449–470

    Article  Google Scholar 

  25. Jaeger PT (2003) The endless wire: egovernment as global phenomenon. Gov Info Q 20(4):323–331

    Article  Google Scholar 

  26. Jolliffe I (2002) Principal component analysis, 2nd edn. Springer-Verlag New York, Inc

  27. Kaylor C, Deshazo R, Van Eck D (2001) Gauging e-government: a report on implementing services among American cities. Gov Info Q 18(4):293–307

    Article  Google Scholar 

  28. Kling R (1999) What is social informatics and why does it matter? D-Lib Magaz 5(1). http://www.dlib.org:80/dlib/january99/kling/01kling.html

  29. Kulkarni UR, Ravindran S, Freeze R (2006) A knowledge management success model: theoretical development and empirical validation. J Manag Info Syst 23(3):309–347

    Google Scholar 

  30. Kunstelj M, Vintar M (2004) Evaluating the progress of eGovernment development: a critical analysis. Info Polity 9(3–4):131–148

    Google Scholar 

  31. Lenk K, Traunmüller R (2001) Broadening the concept of electronic government. In: Prins JEJ (ed) Designing e-government. Kluwer Law Int’l, The Netherlands, pp 63–74

    Google Scholar 

  32. Lessen VT, Nitzsche J, Leymann F (2009) Conversational web services: leaveraging BPEL for expressing WSDL 2.0 message exchange patterns. Enterp Info Syst 3(3):347–367

    Article  Google Scholar 

  33. Li L, Xu L, Jeng HA, Naik D, Allen T, Frontinii M (2008) Creation of environmental health information system for public health service: a pilot study. Info Syst Frontiers 10(5):531–543

    Article  Google Scholar 

  34. Li W, Zheng W, Guan X (2007) Application controlled caching for web servers. Enterp Info Syst 1(2):161–175

    Article  Google Scholar 

  35. Löfstedt U (2005) e-Government—assessment of current research and proposals for future directions. Online http://www.hia.no/iris28/Docs/IRIS2028-1008.pdf

  36. Luo JW, Xu L, Shi ZZ, Jamont JP, Zeng L (2007) A flood decision support system on agent grid: method and implementation. Enterp Info Syst 1(1):49–68

    Article  Google Scholar 

  37. MacQueen J (1967) Some methods for classification and analysis of multivariate observations. In: Proceedings of 5th Berkeley Symposium, pp 281–297

  38. McGill T, Hobbs V, Klobas J (2003) User-developed applications and information systems success: a test of DeLone and McLean’s model. Info Resour Manag J 16(1):24–45

    Article  Google Scholar 

  39. Molla A, Licker PS (2001) E-Commerce systems success: an attempt to extend and respecify the DeLone and MacLean model of is success. J Electron Commer Res 2(4):131–141

    Google Scholar 

  40. Ng A, Jordan M, Weiss Y (2001) On spectral clustering: analysis and an algorithm. In: Proceedings of neural information processing system (NIPS 2001)

  41. Pare G, Aubry D, Lepanto L, Sicotte C (2005) Evaluating Pacs success: a multidimensional model. In: 38th Hawaii international conference system science (HICSS 05). Big Island, Hawaii

  42. Parent M, Vandebeek C, Gemino A (2005) Building citizen trust through EGovernment. Gov Info Q 22(4):720–736

    Article  Google Scholar 

  43. Pearson K (1901) On lines and planes of closest fit to systems of points in space. Phil Mag 6(2):559–572

    Google Scholar 

  44. Porter M (1985) Competitive strategy: techniques for analysing industries and competitors. Free Press, New York

    Google Scholar 

  45. Prattipati SN (2003) Adoption of eGovernment: differences between countries in the use of online government service. J Am Acad Bus 3(1/2):386–391

    Google Scholar 

  46. Rai A, Lang SS, Welker RB (2002) Assessing the validity of is success models: an empirical test and theoretical analysis. Info Syst Res 13(1):50–69

    Article  Google Scholar 

  47. Rosenberg F, Michlmayr A, Dustdar S (2008) Top-down business process development and execution using quality of service aspects. Enterp Info Syst 2(4):459–475

    Article  Google Scholar 

  48. Sauer C, Cuthbertson C (2003) The state of IT project management in the UK 2002–2003. Final report from the computer weekly project/programme management survey funded by Computer Weekly, Templeton College and The French Thornton partnership

  49. Scavo C (2003) World wide web site design and use in public management. In: Garson GD (ed) Public information technology: policy and management issues. Idea Group Publishing, Hershey, pp 299–330

  50. Scott M, Golden W, Hughes M (2004). Implementation strategies for e-government: a stakeholder analysis approach. In: Proceedings of twelfth Euro conference information system, Turku, Finland

  51. Shackleton P, Fisher J, Dawson L (2004) Evolution of local government E-services: the applicability of ebusiness maturity models. In: 37th annual Hawaii international conference system science (HICSS04), Track 5, Hawaii

  52. Shan SQ, Shen HB, Lu X (2008) Evaluating business intelligence acceptance with the technology acceptance model. In: Xia GP, Deng XQ (eds) International conference on computer and industrial engineering (cie38), Beijing, pp 2756–2767

  53. Sharma SK (2004) Assessing eGovernment implementation. Electron Gov 1(2):198–212

    Article  Google Scholar 

  54. Skok W, Kophamel A, Richardson I (2001) Diagnosing information systems success: importance-performance maps in the health club industry. Info Manag 38(7):409–419

    Article  Google Scholar 

  55. Stowers GNL (2004) Measuring the performance of e-government. IBM Center for the Business of Government, Washington, DC

  56. Tao A, Yang J (2008) Towards policy driven context aware differentiated services design and development. Enterp Info Syst 2(4):367–384

    Article  Google Scholar 

  57. Torres L, Pina V, Acerete B (2005) EGovernment developments on delivering public services among EU cities. Gov Info Q 22(2):217–238

    Article  Google Scholar 

  58. UNPAN (2005) UN Global EGovernment readiness report 2005 from EGovernment to E-inclusion. United Nations Department of Economic and Social Affairs, Division of Public Administration and Development Management, New York

    Google Scholar 

  59. Vathanophas V, Sturt L (2009) Enterprise resource planning: technology acceptance in Thai universities. Enterp Info Syst 3(2):133–158

    Article  Google Scholar 

  60. Wang L, Xu L, Wang X, You WJ, Tan W (2009) Knowledge portal construction and resources integration for a Large scale hydropower dam. Syst Res Behav Sci 26(3):357–366

    Article  Google Scholar 

  61. Wang T, Vonk J, Grefen P (2008) Towards a conceptual approach for transaction management. Enterp Info Syst 2(4):443–458

    Article  Google Scholar 

  62. Wang YS, Liao YW (2008) Assessing eGovernment systems success: a Validation of the DeLone and McLean model of information systems success. Gov Info Q 25(4):717–733

    Article  Google Scholar 

  63. Wu JH, Wang YM (2006) Measuring Kms success: a respecification of the DeLone and McLean’s model. Info Manag 43(6):728–739

    Article  Google Scholar 

  64. Xu L, Liang N, Gao Q (2008) An integrated approach for agricultural ecosystem management. IEEE Trans Syst Man Cybern Part C 38(2):1–10

    Google Scholar 

  65. Yuan RX, Li Z, Guan XH, Xu L (2010) An SVM-based machine learning method for accurate internet traffic classification. Info Syst Frontiers 12:149–156

    Article  Google Scholar 

  66. Zha H, Ding C, Gu M, He X, Simon H (2001) Spectral relaxation for K-means clustering. Adv Neural Info Process Syst 14(NIPS01):1057–1064

    Google Scholar 

  67. Zhang J, Dawes SS, Sarkis J (2005) Exploring stakeholders’ expectations of the benefits and barriers of e-government knowledge sharing. J Enterp Info Manag 18(5/6):548–567

    Google Scholar 

  68. Zhang T, Ying S, Cao S, Zhang J (2008) A modelling approach to service-oriented architecture. Enterp Info Syst 2(3):239–257

    Article  Google Scholar 

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Acknowledgments

This research work would not have been possible without the financial support of National Natural Science Foundation of China 70971004 and 70971005. We also thank the anonymous reviewers for the insightful comments that helped us improve the quality of the paper.

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  1. School of Economics and Management, Beihang University, 100191, Beijing, China

    Siqing Shan, Li Wang, Jing Wang, Yi Hao & Fan Hua

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  1. Siqing Shan
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Correspondence to Siqing Shan.

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Shan, S., Wang, L., Wang, J. et al. Research on e-Government evaluation model based on the principal component analysis. Inf Technol Manag 12, 173–185 (2011). https://doi.org/10.1007/s10799-011-0083-8

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