Assessing the success of e-government systems: An employee perspective

We examine the IS success of an e-government system from employees' perspective.Intention to use/use has the strongest total effect on net benefits.Information quality and service quality do not directly affect user satisfaction.Demographic characteristics do not confound the D&M research model.Training, in the early stages of e-government development, can overcome disparity issues. By using information system (IS) success-based approaches from the perspective of government employees, this paper investigates the success of e-government systems. Structural equation modeling (SEM) techniques were applied to data collected by a questionnaire from 154 employees of e-government systems in Serbia. In this study, we empirically evaluated the model for measuring the success of e-government systems consisting of constructs from the updated DeLone and McLean IS success model coupled with the demographic conditions. Seven out of ten hypothesized relationships between the seven success variables are significantly supported. The findings of this study can be used to assess the success of e-government systems from the standpoint of the government employees.

[1]  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.

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

[3]  Woong-Kyu Lee,et al.  The relationship of e-Learner's self-regulatory efficacy and perception of e-Learning environmental quality , 2008, Comput. Hum. Behav..

[4]  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..

[5]  J. Hair.  Multivariate data analysis , 1972 .

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

[7]  Sevgi Özkan,et al.  Multi-dimensional students' evaluation of e-learning systems in the higher education context: An empirical investigation , 2009, Comput. Educ..

[8]  Khaldoun Batiha,et al.  Measuring user satisfaction from e-Government services: Lessons from Jordan , 2013, Gov. Inf. Q..

[9]  Vishanth Weerakkody,et al.  The University of Bradford Institutional Repository , 2022 .

[10]  Rex B. Kline,et al.  Principles and Practice of Structural Equation Modeling , 1998 .

[11]  Rudolf R. Sinkovics,et al.  The Use of Partial Least Squares Path Modeling in International Marketing , 2009 .

[12]  Chung-Kuang Hou,et al.  Examining the effect of user satisfaction on system usage and individual performance with business intelligence systems: An empirical study of Taiwan's electronics industry , 2012, Int. J. Inf. Manag..

[13]  Bojan Lalic,et al.  Developing a model to assess the success of e-learning systems: evidence from a manufacturing company in transitional economy , 2016, Inf. Syst. E Bus. Manag..

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

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

[16]  T. Ramayah,et al.  Understanding the Effect of Demographic and Personality Traits on the E-Filing Continuance Usage Intention in Malaysia , 2015 .

[17]  Janice C. Sipior,et al.  The digital divide and t-government in the United States: using the technology acceptance model to understand usage , 2011, Eur. J. Inf. Syst..

[18]  Fred D. Davis.  Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..

[19]  B. Muthén,et al.  Exploratory Structural Equation Modeling , 2009 .

[20]  Viswanath Venkatesh,et al.  Understanding e‐Government portal use in rural India: role of demographic and personality characteristics , 2014, Inf. Syst. J..

[21]  Chao-Min Chiu,et al.  Examining the integrated influence of fairness and quality on learners’ satisfaction and Web‐based learning continuance intention , 2007, Inf. Syst. J..

[22]  Barbara Wixom,et al.  Antecedents of Information and System Quality: An Empirical Examination Within the Context of Data Warehousing , 2005, J. Manag. Inf. Syst..

[23]  Richard T. Watson,et al.  Service Quality: A Measure of Information System Effectiveness , 1995, MIS Q..

[24]  Enrique Mu,et al.  Development of an electronic Portfolio system success model: An information systems approach , 2013, Comput. Educ..

[25]  Alireza Hassanzadeh,et al.  A model for measuring e-learning systems success in universities , 2012, Expert Syst. Appl..

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

[27]  Paul T. Jaeger,et al.  E-government around the world: lessons, challenges, and future directions , 2003, Gov. Inf. Q..

[28]  Yanqing Duan,et al.  An exploratory study on eGovernment systems success in Saudi Arabia , 2012 .

[29]  Yogesh Kumar Dwivedi,et al.  e-Government Adoption Model (GAM): Differing service maturity levels , 2011, Gov. Inf. Q..

[30]  Yi-Shun Wang,et al.  Measuring e-learning systems success in an organizational context: Scale development and validation , 2007, Comput. Hum. Behav..

[31]  Victor R. Prybutok,et al.  Evaluating leadership, IT quality, and net benefits in an e-government environment , 2008, Inf. Manag..

[32]  Hsiu-Ju Chen,et al.  Clarifying the empirical connection of new entrants' e-learning systems use to their job adaptation and their use patterns under the collective-individual training environment , 2012, Comput. Educ..

[33]  Amjad Mahmood,et al.  Measuring eGovernment Systems Success: An Empirical Study , 2013, DaEng.

[34]  Inneke Van Nieuwenhuyse,et al.  A decision support system for capacity planning in emergency departments , 2015 .

[35]  M. Markus,et al.  The Enterprise System Experience— From Adoption to Success , 2000 .

[36]  Judith A. Effken,et al.  Development and initial evaluation of the Clinical Information Systems Success Model (CISSM) , 2013, Int. J. Medical Informatics.

[37]  Gerold Riempp,et al.  An empirical investigation of employee portal success , 2010, J. Strateg. Inf. Syst..

[38]  A. Leclercq.  The perceptual evaluation of information systems using the construct of user satisfaction: case study of a large french group , 2007, DATB.

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

[40]  Taewoo Nam,et al.  Determining the type of e-government use , 2014, Gov. Inf. Q..

[41]  Hsiu-Fen Lin,et al.  Determinants of success for online communities: an empirical study , 2006, Behav. Inf. Technol..

[42]  Scott B. MacKenzie,et al.  Common method biases in behavioral research: a critical review of the literature and recommended remedies. , 2003, The Journal of applied psychology.

[43]  Chun-Chieh Wang,et al.  An empirical study of instructor adoption of web-based learning systems , 2009, Comput. Educ..

[44]  T. Schmitt.  Current Methodological Considerations in Exploratory and Confirmatory Factor Analysis , 2011 .

[45]  Helail Almutairi,et al.  An Empirical Application of the Delone and Mclean Model in the Kuwaiti Private Sector , 2005, J. Comput. Inf. Syst..

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

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

[48]  United Arab Emirates,et al.  The role of information technology in e-learning systems success , 2012 .

[49]  P. Bentler,et al.  Cutoff criteria for fit indexes in covariance structure analysis : Conventional criteria versus new alternatives , 1999 .

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

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

[52]  Sanjay L. Ahire,et al.  Development and Validation of TQM Implementation Constructs , 1996 .

[53]  John T. Snead,et al.  E-government research in the United States , 2014, Gov. Inf. Q..

[54]  Hsiu-Fen Lin,et al.  Measuring Online Learning Systems Success: Applying the Updated DeLone and McLean Model , 2007, Cyberpsychology Behav. Soc. Netw..

[55]  Åke Grönlund,et al.  Future-oriented eGovernance: The sustainability concept in eGov research, and ways forward , 2014, Gov. Inf. Q..

[56]  Ephraim R. McLean,et al.  Information Systems Success: The Quest for the Independent Variables , 2013, J. Manag. Inf. Syst..

[57]  Mete Yildiz,et al.  E-government research: Reviewing the literature, limitations, and ways forward , 2007, Gov. Inf. Q..