Manager Perceptions towards the Success of E-Performance Reporting System

A'ang Subiyakto, Ditha Septiandani, Evy Nurmiati, Yusuf Durachman, Abd. Rahman Ahlan, Mira Kartiwi


Managers are one of the key informants in the information system (IS) success measurements. In fact, besides the determinant agents are rarely involved in the assessments, most of the measurements are also often performed by the technical stakeholders of the systems. Therefore, the results may questionable. This study was carried to explain the factors that influence the success of an e-performance reporting system in an Indonesian university by involving ± 70% of the managers (n=66) in the sampled institution. The DeLone and McLean model was adopted and adapted here following the suggestions of the previous meta-analysis studies. The collected data was analysed using the partial least squares-structural equation modelling (PLS-SEM) for examining the four hypotheses. Despite the findings revealed acceptances of the overall hypotheses, the weak explanation of the user satisfaction variable towards the net benefit one had been the highlighted point of the study. Besides limitations of the study, the above-mentioned point may also be the practical and theoretical considerations for the next studies, especially for the IS success studies in Indonesia.


IS success, manager perspectives, e-performance reporting system, PLS-SEM


Subiyakto A, Ahlan AR, Kartiwi M, Sukmana HT. Measurement of Information System Project Success Based on Perceptions of the Internal Stakeholders. International Journal of Electrical and Computer Engineering (IJECE). 2015; 5(2): 271-9.

Subiyakto A, Ahlan AR, Kartiwi M, Sukmana HT. Influences of the Input Factors towards Success of An Information System Project. TELKOMNIKA (Telecommunication Computing Electronics and Control). 2015; 13(2): 686-93.

Subiyakto A, Ahlan AR, Kartiwi M, Putra SJ, Durachman Y. The User Satisfaction Perspectives of the Information System Projects. Indonesian Journal of Electrical Engineering and Computer Science. 2016; 4(1).

Nguyen TD, Nguyen TM, Cao TH, editors. Information Systems Success: A Literature Review. International Conference on Future Data and Security Engineering; 2015: Springer.

Homburg C, Klarmann M, Reimann M, Schilke O. What drives key informant accuracy? Journal of Marketing Research. 2012; 49(4): 594-608.

Beringer C, Jonas D, Kock A. Behavior of internal stakeholders in project portfolio management and its impact on success. International Journal of Project Management. 2013; 31(6): 830-846.

Sharma A, Altinay L, O'Neill JW. Using focus groups as a tool to develop a hospitality work-life research study. International Journal of Contemporary Hospitality Management. 2012; 24(6): 873-885.

Jugdev K, Müller R. A retrospective look at our evolving understanding of project success. Project Management Journal. 2005; 36(4): 19-31.

Subiyakto A, Ahlan AR, editors. A coherent framework for understanding critical success factors of ICT project environment. International Conference on Research and Innovation in Information Systems, ICRIIS; 2013; Kuala Lumpur.

Putra SJ, Subiyakto A, Ahlan AR, Kartiwi M. A Coherent Framework for Understanding the Success of an Information System Project. TELKOMNIKA (Telecommunication, Computing, Electronics and Control). 2016; 14(1): 302-308.

Delone WH, McLean ER. The DeLone and McLean model of information systems success: a ten-year update. Journal of management information systems. 2003; 19(4): 9-30.

Petter S, DeLone W, McLean E. Measuring information systems success: models, dimensions, measures, and interrelationships. European journal of information systems. 2008; 17(3): 236-63.

Urbach D-W-IN, Smolnik S, Riempp G. The state of research on information systems success. Business & Information Systems Engineering. 2009; 1(4): 315-25.

Urbach N, Müller B. The updated DeLone and McLean model of information systems success. Information systems theory: Springer; 2012. p. 1-18.

Remencius T, Sillitti A, Succi G. Assessment of software developed by a third-party: A case study and comparison. Information Sciences. 2016; 328: 237-49.

Al-Raisi A, Amin S, Tahir S. Evaluation of e-performance analysis and assessment in the United Arab Emirates (UAE) Organizations. Journal of Internet and Information Systems. 2011; 2(2): 20-7.

Wahid F, editor The current state of research on eGovernment in developing countries: A literature review. International Conference on Electronic Government; 2012: Springer.

Wahid F, editor Themes of research on eGovernment in developing countries: Current map and future roadmap. System Sciences (HICSS), 2013 46th Hawaii International Conference on; 2013: IEEE.

Davis FD. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly. 1989: 319-340.

Seddon P, Kiew M-Y. A partial test and development of DeLone and McLean's model of IS success. Australasian Journal of Information Systems. 1996; 4(1).

Mkoba E, Marnewick C, editors. IT Project Success: A Conceptual Framework for IT Project Auditing Assurance. Proceedings of the Annual Conference of the South African Institute of Computer Scientists and Information Technologists; 2016: ACM.

Rus S, Mocan M, Ardelean B-O, Ivascu L, Cioca LI. Conceptualization and Examination of Success Factors in the Banking System. Procedia Economics and Finance. 2016; 39: 679-684.

Clancy T. The Standish Group CHAOS Report. Project Smart. 2014.

Xu X, Zhang W, Barkhi R. IT infrastructure capabilities and IT project success: a development team perspective. Information Technology and Management. 2010; 11(3): 123-142.

McFarlan F. The Computer: Your Strategic Business Weapon. Retail Contml. 1986; 54(2): 2-28.

Bouwman H, Van Den Hooff B, Van De Wijngaert L. Information and communication technology in organizations: adoption, implementation, use and effects: Sage; 2005.

Wateridge J. How can IS/IT projects be measured for success? International Journal of Project Management. 1998; 16(1): 56-63.

Subiyakto A, Ahlan AR. Implementation of Input-Process-Output Model for Measuring Information System Project Success. TELKOMNIKA Indonesian Journal of Electrical Engineering. 2014; 12(7): 5603-5612.

Subiyakto A, Ahlan AR, Kartiwi M, Putra SJ. Measurement of the information system project success of the higher education institutions in Indonesia: a pilot study. International Journal of Business Information System. 2016; 23(2): 229-247.

Marcoulides GA, Saunders C. Editor's comments: PLS: a silver bullet? MIS quarterly. 2006: iii-ix.

Eddy DM, Hollingworth W, Caro JJ, Tsevat J, McDonald KM, Wong JB. Model transparency and validation a report of the ISPOR-SMDM Modeling Good Research Practices Task Force–7. Medical Decision Making. 2012; 32(5): 733-743.

Kaptein MC, Nass C, Markopoulos P, editors. Powerful and consistent analysis of likert-type ratingscales. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems; 2010: ACM.

Henseler J, Ringle CM, Sinkovics RR. The use of partial least squares path modeling in international marketing. Advances in international marketing. 2009; 20(1): 277-319.

Urbach N, Ahlemann F. Structural equation modeling in information systems research using partial least squares. JITTA: Journal of Information Technology Theory and Application. 2010; 11(2): 5-40.

Hair JF, Ringle CM, Sarstedt M. PLS-SEM: Indeed a silver bullet. Journal of Marketing theory and Practice. 2011; 19(2): 139-152.

Hair JF, Sarstedt M, Ringle CM, Mena JA. An assessment of the use of partial least squares structural equation modeling in marketing research. Journal of the academy of marketing science. 2012; 40(3): 414-433.

Afthanorhan W. A comparison of partial least square structural equation modeling (PLS-SEM) and covariance based structural equation modeling (CB-SEM) for confirmatory factor analysis. International Journal Engineering and Science Innovative Technologies (IJESIT). 2013; 2(5): 8.

Wong KK-K. Partial least squares structural equation modeling (PLS-SEM) techniques using SmartPLS. Marketing Bulletin. 2013; 24(1): 1-32.

Christopher J, Schertzer CB, Schertzer S. Accounting Faculty Internships: A Descriptive Study. SAGE Open. 2013; 3(3): 1-18.

Fornell C, Larcker DF. Evaluating structural equation models with unobservable variables and measurement error. Journal of marketing research. 1981; 18(1): 39-50.

DeLone WH, McLean ER. Information systems success: The quest for the dependent variable. Information systems research. 1992; 3(1): 60-95.



  • There are currently no refbacks.

Copyright (c) 2017 Universitas Ahmad Dahlan

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

TELKOMNIKA Telecommunication, Computing, Electronics and Control
online system:
Phone: +62 (274) 563515, 511830, 379418, 371120 ext: 3208
Fax    : +62 (274) 564604