An Analysis of Failure in a Government-to-Government E-Government Context via the Updated Delone and McLean Model

2015 ◽  
pp. 1-2
Author(s):  
LIES VAN CAUTER
Keyword(s):  
Delone And Mclean

Situsparu: Sistem Pakar Untuk Deteksi Penyakit Tuberkulosis Paru

2018 ◽  
Vol 10 (1) ◽  
pp. 41-47
Author(s):  
Ricky Surya ◽  
Dennis Gunawan
Keyword(s):  
Expert System ◽  
Tuberculosis Patient ◽  
The Body ◽  
Certainty Factor ◽  
Good Reliability ◽  
Delone And Mclean ◽  
The World ◽  
Index Terms ◽  
Manual Calculation ◽  
Tuberculosis Prevalence

Tuberculosis is an infectious disease caused by mycobacterium tuberculosis. It can affect some parts of the body: lungs, lymph nodes, intestines, kidneys, endometrium, bones, and brain. According to the survey of tuberculosis prevalence conducted by Republic of Indonesia Ministry of Health in 2013-2014, Indonesia was the second country in the world with the most case of tuberculosis. It makes Indonesia become a country with emergency in lungs tuberculosis. An expert system for lungs tuberculosis detection is built to help people detecting the possibility of suffering from lungs tuberculosis. Therefore, it is hoped that the lungs tuberculosis patient can have early treatment. Certainty factor is used to solve the uncertainty problem delivered by the doctor when examining the patient. Thus, certainty factor is an appropriate method to be used in the expert system for detecting certain disease. This method has been correctly implemented, proved by comparing system detection result to manual calculation result. The expert system has 81.25% accuracy, 83.49% success using DeLone and McLean model, and a cronbach alpha of 0.82 which indicates a good reliability based on the indicators used in the questionnaire. Index Terms— Certainty Factor, Disease Detection, Expert System, Pulmonary Tuberculosis, Situsparu

scholarly journals A Systematic Review of the DeLone and McLean Model of Information Systems Success in an E-Learning Context (2010–2020)

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Hala Najwan Sabeh ◽  
Mohd Heikal Husin ◽  
Daisy Mui Hung Kee ◽  
Ahmad Suhaimi Baharudin ◽  
Rosni Abdullah
Keyword(s):  
Systematic Review ◽  
Information Systems ◽  
Learning Context ◽  
Information Systems Success ◽  
Delone And Mclean ◽  
E Learning

Integrating the Information Systems Success Model With Project Success Management Process

2021 ◽  
Vol 3 (2) ◽  
pp. 1-13
Author(s):  
Ali Varshosaz ◽  
João Varajão ◽  
Nilton Takagi
Keyword(s):  
Information Systems ◽  
Project Success ◽  
Position Paper ◽  
Management Process ◽  
Information Systems Success ◽  
Is Success ◽  
Actionable Knowledge ◽  
Delone And Mclean ◽  
Success Model ◽  
Information Systems Success Model

DeLone and McLean information systems success model has become a reference for explaining the success of information systems (IS). Attempts to apply and test the model have resulted in both confirmation and challenges. One of those challenges is how to translate the learnings from this model into actionable knowledge. This position paper proposes the integration of the information systems success model with the success management process as a way of getting synergies from both models and improving the study and practice of IS projects. Moreover, the authors present several examples of IS success measures to be used in practice.

A hybrid model for exploring the antecedents of cloud ERP continuance

2019 ◽  
Vol 15 (2) ◽  
pp. 215-235 ◽  
Author(s):  
Yung-Ming Cheng
Keyword(s):  
Hybrid Model ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
System Quality ◽  
Continuance Intention ◽  
Is Success ◽  
Content Type ◽  
Is Success Model ◽  
Delone And Mclean ◽  
Success Model

Purpose This study aims to propose a hybrid model based on expectation–confirmation model (ECM), DeLone and McLean IS success model and task-technology fit (TTF) model to examine whether quality factors and TTF as the antecedents to user beliefs can affect organizational users’ continuance intention of cloud enterprise resource planning (ERP). Design/methodology/approach Sample data for this study were collected from end-users of cloud ERP working in companies in Taiwan. A total of 370 questionnaires were distributed in the 37 sample companies, and 315 (85.1 per cent) usable questionnaires were analyzed using structural equation modeling in this study. Findings This study’s findings indicated that users’ perceptions of system quality, information quality and TTF all contributed significantly to their satisfaction, confirmation and perceived usefulness (PU) of cloud ERP, which in turn directly or indirectly led to their continuance intention of cloud ERP; that is, the results strongly supported the hybrid model integrating ECM, DeLone and McLean IS success model and TTF model with all hypothesized links being significant. Originality/value Empirically, this study’s research model capturing ECM, DeLone and McLean IS success model and TTF model has significantly shed light on the possible formulation of a richer post-adoption model. Noteworthily, considerably more attention should be paid to the fit between information-related characteristics and cloud ERP users’ work goals and needs, while TTF, based on both system-related and information-related technology characteristics, significantly contributes to users’ satisfaction, confirmation and PU, which together directly or indirectly explain their intention to continue using cloud ERP.

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