Skip to main content

Part of the book series: Springer Theses ((Springer Theses))

  • 413 Accesses

Abstract

Over the years, citizens’ trust and confidence in their governments has continued to decline and digital government is expected to reverse this trend. An enormous amount of money has been spent worldwide, on electronic government initiatives that are focused on improving performance, reducing costs and enhancing citizens' trust and confidence in their governments. Yet, of the many initiatives that have been implemented, very few have achieved real transformation of government (i.e. fundamental changes to the way core functions of government are performed to achieve noticeable gains in performance and efficiency). As such, there is a need to understand how transformation of government as a construct affects citizens’ trust and confidence in government in the presence of factors such as, government performance and citizen satisfaction. This research empirically investigates the influence of digital transformation of government on citizens’ trust and confidence in the context of the Kingdom of Bahrain. Bahrain is a top ranking country in terms of use of ICT in the Gulf Cooperation Council (GCC) region. A conceptual model was developed and validated using an online survey targeting randomly citizens of the Kingdom of Bahrain. Based on 313 responses, the findings of this research suggest that citizens' trust and confidence in their government is positively influenced by transformation of government, mediated by government performance and citizens’ satisfaction. The study found that e-government and technology are not enough for achieving a real transformation of government, and therefore, in tackling the decline in citizens’ trust and confidence in government. Other factors were found to be important in this equation, including transparency and accountability of government functions and activities in meeting citizens' expectations. The research offer multiple policy implications and theoretical contributions, in addition to helping understand how digital transformation of government can enhance citizens' trust and confidence in government, improve government-to-citizen relationship, and increase the adoption of digital services offered by governments. From a policy perspective, this research offers a validated conceptual model that can be used as a frame of reference when planning ICT-enabled transformation projects in government. From a theoretical context, this study is the first to investigate the relationship between transformation of government and citizens' trust and confidence in government.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 54.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Bartko JJ (1966) The intraclass correlation coefficient as a measure of reliability. Psychol Rep 19(1):3–11

    Article  Google Scholar 

  • Brown JD (1996) Testing in language programs. Prentice Hall Regents, Upper Saddle River

    Google Scholar 

  • Cabrera-Nguyen P (2010) Author guidelines for reporting scale development and validation results. J Soc Soc Work Res 1(2):99–103

    Article  Google Scholar 

  • Comrey A, Lee H (1992) A first course in factor analysis. Lawrence Erlbaum Associates, Hillsdale

    Google Scholar 

  • Field A (2006) Discovering statistics using SPSS, 2nd edn. Sage, London

    Google Scholar 

  • Fornell C, Larcker DF (1981) Evaluating structural equation models with unobservable variables and measurement error. J Mark Res 18(1):39–50

    Article  Google Scholar 

  • Fowler FJ Jr (2002) Survey research methods. Sage Publications Inc., London

    Google Scholar 

  • Hair JF, Tatham RL, Anderson RE, Black W (2006) Multivariate data analysis. Pearson Prentice Hall, Upper Saddle River

    Google Scholar 

  • Hair JF, Anderson RE, Babin BJ, Black WC (2010) Multivariate data analysis: a global perspective, vol 7. Pearson, Upper Saddle River

    Google Scholar 

  • Henson RK, Roberts JK (2006) Use of exploratory factor analysis in published research: common errors and some comment on improved practice. Educ Psychol Measur 66(3):393–416

    Article  Google Scholar 

  • Hooper D, Coughlan J, Mullen M (2008) Structural equation modelling: guidelines for determining model fit. Articles p 2

    Google Scholar 

  • Hox JJ, Bechger TM (1998) An introduction to structural equation modelling. Fam Sci Rev 11:354–373

    Google Scholar 

  • Hu L-T, Bentler PM (1999) Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Struct Equ Model 6:1–55

    Article  Google Scholar 

  • Iacobucci D (2010) Structural equations modeling: fit indices, sample size, and advanced topics

    Google Scholar 

  • Jackson DL, Gillaspy JA Jr, Purc-Stephenson R (2009) Reporting practices in confirmatory factor analysis: an overview and some recommendations. Psychol Methods 14(1):6

    Article  Google Scholar 

  • Lee Rodgers J, Nicewander WA (1988) Thirteen ways to look at the correlation coefficient. Am Stat 42(1):59–66

    Article  Google Scholar 

  • Lee J, Lee JN, Tan BC (2015) Antecedents of cognitive trust and affective distrust and their mediating roles in building customer loyalty. Inf Syst Front 17(1):159–175

    Article  Google Scholar 

  • Li DX (1999) Value at risk based on the volatility. Skewness and kurtosis. RiskMetrics Group

    Google Scholar 

  • Nunnally JC, Bernstein IH (1994) Psychometric theory, 3rd edn. McGraw-Hill, New York

    Google Scholar 

  • Pallant J (2010) SPSS survival manual, 4th edn. Allen and Unwin Book Publishers, Australia

    Google Scholar 

  • Pigott TD (2001) A review of methods for missing data. Educ Res Eval 7(4):353–383

    Article  Google Scholar 

  • Robinson JP, Shaver PR, Wrightsman LS (1991) Criteria for scale selection and evaluation. Measures Pers Soc Psychol Attitudes 1(3):1–16

    Google Scholar 

  • Schreiber JB, Nora A, Stage FK, Barlow EA, King J (2006) Reporting structural equation modelling and confirmatory factor analysis results: a review. J Educ Res 99(6):323–338

    Article  Google Scholar 

  • Sekaran U (2000) Research methods for business: a skill-building approach. Willey, USA

    Google Scholar 

  • Suhr D (2006) The basics of structural equation modeling. In: SAS User Group of the Western Region of the United States (WUSS), Irvine

    Google Scholar 

  • Tabachnick BG, Fidell LS, Osterlind SJ (2001) Using multivariate statistics. Pearson, New York

    Google Scholar 

  • Taylor R (1990) Interpretation of the correlation coefficient: a basic review. J Diagn Med Sonography 6(1):35–39

    Article  Google Scholar 

  • Thompson B (2004) Exploratory and confirmatory factor analysis: understanding concepts and applications. American Psychological Association

    Google Scholar 

  • Venkatraman N, Grant JH (1986) Construct measurement in organizational strategy research: a critique and proposal. Acad Manag Rev 11(1):71–87

    Article  Google Scholar 

  • Williams B, Onsman A, Brown T (2010) Exploratory factor analysis: a five-step guide for novices. Australas J Paramedicine 8(3)

    Google Scholar 

  • Worthington R, Whittaker T (2006) Scale development research: a content analysis and recommendations for best practices. Counseling Psychol 34:806–838

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Mohamed Mahmood .

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Mahmood, M. (2019). Data Analysis. In: Does Digital Transformation of Government Lead to Enhanced Citizens’ Trust and Confidence in Government?. Springer Theses. Springer, Cham. https://doi.org/10.1007/978-3-030-01759-0_5

Download citation

Publish with us

Policies and ethics