scholarly journals THE ANALYSIS OF E-LEARNING SUCCESS BY USING DELONE AND MCLEAN SUCCESS MODEL (CASE STUDY: PERTAMINA UNIVERSITY)

2021 ◽  
Vol 4 (1) ◽  
pp. 29
Author(s):  
Burhan Mafazi
Keyword(s):  
User Satisfaction ◽  
Information Quality ◽  
Learning System ◽  
System Quality ◽  
Net Benefit ◽  
Model Case ◽  
Learning Success ◽  
Study Programs ◽  
Fast Development ◽  
E Learning

Education is a crucial thing and highly concerned all over the world. As one of the educational institutions, the university has currently applied many information systems because of several obstacles and problems. With the fast development of information and communication technology, the learning process also has improved, known as e-learning. Pertamina University is a private university located in Jakarta, which has six faculties and 15 study programs. Since its inception in 2016, Pertamina University has applied e-learning to its students. Based on the conceptual models developed by DeLone & McLean, this research aims to examine the success of the implementation of the e-learning system in Pertamina University with six variables, which are information quality, system quality, service quality, use, user satisfaction, and net benefit. The results of the study using 610 samples showed that the information quality variable did not affect the user satisfaction variable, which means that the quality of information on e-learning needed to be improved again to get a better response to user satisfaction.

scholarly journals EVALUASI IMPLEMENTASI SISTEM E-LEARNING MENGGUNAKAN MODEL EVALUASI HOT FIT STUDI KASUS UNIVERSITAS SAM RATULANGI

2015 ◽  
Vol 4 (2) ◽  
Author(s):  
Frincy Poluan ◽  
Arie Lumenta ◽  
Alicia Sinsuw
Keyword(s):  
Service Quality ◽  
User Satisfaction ◽  
Information Quality ◽  
System Quality ◽  
Net Benefit ◽  
Human Organization ◽  
System Use ◽  
E Learning

Abstrak Sistem E-Learning digunakan untuk menunjang proses pembelajaran dalam suatu institusi pendidikan demi meningkatkan kualitas pendidikan. E-Learning memerlukan evaluasi untuk mengukur tingkat kelayakan, bahkan keberhasilan dari kinerja E-Learning itu sendiri. Evaluasi harus dilakukan karena evaluasi akan menilai atau mengukur manfaat yang didapatkan dari penerapan Sistem E-Learning di Universitas Sam Ratulangi. Sebelumnya, E-Learning UNSRAT yang telah berjalan beberapa tahun, diketahui belum dievaluasi, baik secara organisasi, teknologi, dan pengguna akhir. Penelitian ini menggunakan model evaluasi HOT (Human, Organization, Technology) Fit. Model ini melibatkan 3 faktor utama yakni Pengguna, Organisasi, dan Teknologi, yang ditopang oleh variabel kunci kesuksesan sistem informasi  yang terdiri dari System Quality (kualitas sistem), Information Quality (kualitas informasi), Service Quality (kualitas layanan), System Use (penggunaan sistem), User Satisfaction (kepuasan pengguna), dan Net Benefit (manfaat sistem). Penelitian ini menunjukkan bahwa hubungan antara variabel Human, Organization, dan Technology mempunyai hubungan yang cukup kuat dan positif yang saling mempengaruhi satu dengan yang lain serta ketiganya mempunyai hubungan yang kuat dan searah terhadap Net Benefit dari sistem. Kata kunci: E-Learning, Evaluasi, Model HOT-Fit

Validating the Satisfaction and Continuance Intention of E-learning Systems

2012 ◽  
Vol 10 (1) ◽  
pp. 44-54 ◽  
Author(s):  
Tung-Cheng Lin ◽  
Ching-Jen Chen
Keyword(s):  
User Satisfaction ◽  
Information Quality ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Learning System ◽  
System Quality ◽  
Perceived Ease Of Use ◽  
Learning Attitudes ◽  
E Learning ◽  
Intention To Continue

Many e-learning studies have evaluated learning attitudes and behaviors, based on TAM. However, a successful e-learning system (ELS) should take both system and information quality into account by applying ISM developed by Delone and McLean. In addition, the acceptance for information system depends on the perceived usefulness and ease of use according to TAM. This research combined TAM with ISM by introducing system quality, quality of platform information, and course information as an antecedent of perceived usefulness and perceived ease of use. These factors were crucial for understanding users’ intention to continue their use of ELS. This study investigated 412 students with ELS experiences. The results indicate that system quality, platform information, and course information had significantly related to user satisfaction and their intention to use ELS continuously.

scholarly journals Hot Fit Pada Sistem E-Learning Politeknik Negeri Bali Dengan Self Efficacy Sebagai Variabel Mediator

2019 ◽  
Vol 9 (2) ◽  
pp. 66
Author(s):  
Ni Wayan Dewinta Ayuni ◽  
Kadek Cahya Dewi ◽  
I Ketut Suwintana
Keyword(s):  
Self Efficacy ◽  
Latent Variables ◽  
Structural Equation ◽  
Information Quality ◽  
Learning System ◽  
Equation Modeling ◽  
System Quality ◽  
Net Benefit ◽  
E Learning ◽  
Human Component

Human Organization Technology Fit (HOT FIT) is a model used for evauating a system. This HOT FIT model uses three main components in system evaluation, namely the human component, organization, and technology. These components are analyzed for their influence on Net Benefit or the usefulness of the system. The technology component is divided into three latent variables namely system quality, information quality, and service quality, while the organizational component is divided into two latent variables, namely the role of organization and environment. The human component is represented by self efficacy variable. This variable is defined as a mediator variable. Mediator variables are variables that theoretically affect the relationship between independent variables with the dependent variable into an indirect relationship and cannot be observed and measured. The e-learning system of Politeknik Negeri Bali has been implemented since 2012. As a base for e-learning development, an evaluation of the PNB e-learning system is worth doing. The HOT FIT model is considered to be the most appropriate model. The analytical tool used is Structural Equation Modeling using SmartPLS 3.0. The results showed that the SEM model has Q square value of 84.03%. Hypothesis testing shows that the Self Efficacy variable successfully mediates the effect of the Organization variable on the Net Benefit variable.

Effectiveness of e-learning portal from students’ perspective

2019 ◽  
Vol 16 (2) ◽  
pp. 94-116 ◽  
Author(s):  
Gaurav Chopra ◽  
Pankaj Madan ◽  
Piyush Jaisingh ◽  
Preeti Bhaskar
Keyword(s):  
Service Quality ◽  
User Satisfaction ◽  
Information Quality ◽  
Learning System ◽  
Learning Effectiveness ◽  
System Quality ◽  
Order Model ◽  
Content Type ◽  
E Learning ◽  
Net Benefits

Purpose E-learning has become an increasingly prevalent learning approach in higher educational institutions due to the fast growth of internet technologies in India. This paper aims to mainly focus on evaluating the effectiveness of the e-learning experience from students’ perceptive. Design/methodology/approach “Survey” method has been used to collect the data with the help of a structured questionnaire from the students who have registered on COURSERA (www.coursera.org/) website for e-learning. The questionnaire consisted of two sections e-learning system and e-learning effectiveness. E-learning system included items related to system quality, information quality and service quality. E-learning effectiveness dimension included user satisfaction and net benefits. The items in this section were measured on a five-point Likert scale ranging from strongly disagrees to strongly agree. The data collected have been analyzed using the SPSS version 17.0 and AMOS version 21.0. Findings Results show that system quality and service quality contribute more in e-learning system compared to information quality. Students perception may be that information available on the website may not be very useful as it’s a one-way mode of communication. The researcher also found that the three dimensions (system quality, service quality and information quality) of e-learning system contributes to user satisfaction and net benefits. Students are satisfied with e-learning websites and intent to continue to use it in future as well. They also found it beneficial as it helps them in career growth and making them employable. Originality/value This paper proposed a second-order model of e-learning system and a second-order model e-learning effectiveness. E-learning system has been defined by three first-order constructs: a system quality, service quality and information quality. E-learning effectiveness has been defined by two first-order constructs: a user satisfaction and net benefits. The predictability of the proposed model is high to explain the impact of e-learning system on e-learning effectiveness.

Extending the expectation-confirmation model with quality and flow to explore nurses’ continued blended e-learning intention

2014 ◽  
Vol 27 (3) ◽  
pp. 230-258 ◽  
Author(s):  
Yung-Ming Cheng
Keyword(s):  
Information Quality ◽  
Support Service ◽  
Learning System ◽  
System Quality ◽  
Continuance Intention ◽  
Is Success ◽  
Content Type ◽  
Delone And Mclean ◽  
Success Model ◽  
E Learning

Purpose – The purpose of this paper is to propose a hybrid model based on the expectation-confirmation model (ECM), flow theory, and updated DeLone and McLean information system (IS) success model to examine whether quality factors as the antecedents to nurse beliefs affected nurses’ intention to continue using the blended electronic learning (e-learning) system. Design/methodology/approach – Sample data for this study were collected from nurses at five hospitals in Taiwan. A total of 500 questionnaires were distributed, 396 (79.2 percent) questionnaires were returned. Consequently, 378 usable questionnaires were analyzed in this study, with a usable response rate of 75.6 percent. Collected data were analyzed using structural equation modeling. Findings – Information quality, system quality, support service quality, and instructor quality contribute significantly to perceived usefulness (PU), confirmation, and flow, which together explain nurses’ satisfaction with the usage of the blended e-learning system, and this in turn leads to their continued system usage intention. Originality/value – First, the application of the ECM with the view of updated DeLone and McLean IS success model reveals deep insights into quality evaluation (including information quality, system quality, and support service quality) in the field of nurses’ e-learning continuance intention. Especially, this study additionally contributes to the identification of instructor quality that may lead to nurses’ continued blended e-learning usage intention. Next, the empirical evidence on capturing both extrinsic motivator (i.e. PU) and intrinsic motivator (i.e. flow) for completely explaining quality antecedents of nurses’ blended e-learning continuance intention is well documented.

scholarly journals Factors Influencing Self-Regulation in E-learning 2.0: Confirmatory Factor Model | Facteurs qui influencent la maîtrise de soi en cyberapprentissage 2.0 : modèle de facteur confirmative

2016 ◽  
Vol 42 (2) ◽  
Author(s):  
Hong Zhao
Keyword(s):  
Hong Kong ◽  
User Satisfaction ◽  
Structural Equation ◽  
Information Quality ◽  
Success Factors ◽  
Factor Model ◽  
Self Regulation ◽  
Equation Modeling ◽  
System Quality ◽  
E Learning

The importance of self-regulation in e-learning has been well noted in research. Relevant studies have shown a consistent positive correlation between learners’ self-regulation and their success rate in e-learning. Increasing attention has been paid to developing learners’ self-regulated abilities in e-learning. For students, what and how to learn are largely predetermined by the learning environment provided by their institutions. Environmental determinants play a key role in shaping self-regulation in the learning process. This paper reports a study on the influences of the e-learning 2.0 environment on self-regulation. The study identified the factors that influence self-regulation in such an environment and determine the relationships between the factors and self-regulation. A theoretical model to categorize the success factors for self-regulated learning was proposed for this kind of environment. Based on the model, a questionnaire was designed and administered to more than two hundred and fifty distance learning students in Beijing and Hong Kong. Through structural equation modeling (SEM) technique, relationships between environmental factors and self-regulation were analyzed. Statistical results showed that several factors affect self-regulation in the e-learning 2.0 environment. They include system quality, information quality, service quality, and user satisfaction. L’importance de la maîtrise de soi en cyberapprentissage a été bien étudiée. Les études pertinentes ont démontré une corrélation positive uniforme entre la maîtrise de soi des apprenants et leurs taux de réussite en apprentissage en ligne. Une attention croissante a été portée au développement des aptitudes de maîtrise de soi des élèves en cyberapprentissage. Pour les élèves, quoi apprendre et comment sont des questions principalement prédéterminées par l’environnement d’apprentissage qu’offrent leurs établissements. Les déterminants environnementaux jouent un rôle clé pour modeler la maîtrise de soi dans le processus d’apprentissage. Cet article rapporte une étude sur les influences de l’environnement de cyberapprentissage 2.0 sur la maîtrise de soi. L’étude a cerné les facteurs qui, dans un tel environnement, influencent la maîtrise de soi et déterminent les relations entre les facteurs et la maîtrise de soi. Un modèle théorique de catégorisation des facteurs de réussite pour l’apprentissage autogéré a été proposé pour ce type d’environnement. Un questionnaire a été conçu selon ce modèle et plus de deux cent cinquante élèves en téléapprentissage à Beijing et à Hong Kong y ont répondu. À l’aide d’une technique de modélisation par équation structurelle, les relations entre les facteurs environnementaux et l’autogestion ont été analysées. Les résultats statistiques ont démontré que plusieurs facteurs affectent l’autogestion dans l’environnement de cyberapprentissage 2.0. Ceux-ci comprennent la qualité du système, la qualité de l’information, la qualité du service et la satisfaction de l’usager.

Combining the TAM and IS Success Models to Validate E-Learning System Satisfaction and Continuance Intention

2014 ◽  
pp. 290-301
Author(s):  
Tung-Cheng Lin
Keyword(s):  
Information Quality ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Learning System ◽  
System Quality ◽  
Perceived Ease Of Use ◽  
Is Success ◽  
Learning Attitudes ◽  
E Learning

Many e-learning studies have evaluated learning attitudes and behaviors based on TAM. However, a successful E-Learning System (ELS) should take both system and information quality into account by applying ISM developed by Delone and McLean. In addition, the acceptance for information system depends on the perceived usefulness and ease of use according to TAM. This research combines TAM with ISM by introducing system quality, quality of platform information, and course information as an antecedent of perceived usefulness and perceived ease of use. These factors are crucial for understanding users’ intentions to continue their use of ELS. The research model was examined with data collected from 164 practicing students with ELS experiences. The results indicated that system quality, platform information, and course information had a significantly positive effect on users’ satisfaction and their intention to use ELS continuously.

scholarly journals Conceptual Model of User Satisfaction as Mediator of E-Learning Services and System Quality on Students’ Individual Performance

2021 ◽  
Vol 4 (1) ◽  
pp. 60-65
Author(s):  
Muhammad Hafiz Riandi ◽  
Harianto Respati ◽  
Syarif Hidayatullah
Keyword(s):  
Conceptual Model ◽  
User Satisfaction ◽  
Individual Performance ◽  
Learning System ◽  
System Quality ◽  
Literature Study ◽  
Depth Study ◽  
E Learning ◽  
System Success ◽  
Relationship Of

This study aims to collect the required information to construct a conceptual model to measure e-learning information system success in higher education setting. The methodology used in this study is literature study which was done by comparing six articles from international journals across the globe. Other articles as well as books were also used to support the findings in this study. Further in-depth study and comparisons was made to find suitable variables to evaluate e-learning system success. The conclusion of this study is a conceptual model which implements user satisfaction as mediating variable of the relationship of elearning service quality and system quality on students' individual performance as a measure of e-learning system success. Furthermore, this conceptual model can be an essential reference to be implemented in further related research.

scholarly journals Analisis Pengaruh Model HOT-Fit Terhadap Pemanfaatan Sistem Informasi Kinerja Anggaran

2020 ◽  
Vol 7 (4) ◽  
pp. 823
Author(s):  
Naretha Kawadha Pasemah Gumay ◽  
Rahmat Gernowo ◽  
Oky Dwi Nurhayati
Keyword(s):  
User Satisfaction ◽  
Information Quality ◽  
Structural Model ◽  
System Development ◽  
T Test ◽  
Coefficient Of Determination ◽  
Path Coefficient ◽  
System Quality ◽  
Net Benefit ◽  
System Use

<p class="Abstrak">Sistem informasi kinerja anggaran digunakan untuk memantau kinerja anggaran di fakultas Universitas Sriwijaya berdasarkan Indikator Kinerja Pelaksanaan Anggaran. Analisis pengaruh sistem menggunakan model <em>Human</em>, <em>Organization</em>, <em>and Technology-Fit</em> (HOT-Fit) dilakukan untuk menganalisis keberhasilan penerapan sistem, ketiga komponen penilaian tersebut mendapatkan <em>net benefit</em> berupa dampak sistem. Model HOT-Fit dalam penelitian ini memiliki delapan variabel, yaitu <em>System Development</em> (SD), <em>System Use</em> (SU), <em>User Satisfaction</em> (US), <em>Structure</em> (STR), <em>Environment</em> (LO), <em>System Quality</em> (SQ), <em>Information Quality</em> (IQ), dan <em>Service Quality</em> (SEQ). Jumlah sampel responden adalah 59, teknik analisis menggunakan PLS-SEM yang terdapat dua tahapan analisis. Pertama, <em>measurement model</em> digunakan untuk menguji reliabilitas dan validitas. Reliabilitas diambil dari nilai <em>loading factor</em> dan <em>composite reliability</em> yang memiliki nilai di atas 0,7, sedangkan validitas memiliki nilai di atas 0,5 dari AVE dan <em>cross-loading</em> indikator dimana nilai konstruk semua variabel lebih tinggi dari korelasi konstruk blok lain. Kedua, <em>structural model</em> diambil dari hasil uji <em>path </em><em>coefficient</em>, <em>coefficient of determination</em>, dan <em>t-test</em>. <em>Path coefficient</em><em> </em>terdapat empat jalur yang tidak signifikan (LO→SD, LO→SU, SD→SU, dan SQ→US) memiliki nilai dibawah 0,1. <em>Coefficient of determination</em> terdapat enam variabel dengan tingkat kuat dengan nilai sekitar 0,670 (LO, SD, SU, US, IQ, dan SQ) dan satu tingkat moderat dengan nilai sekitar 0,333 (STR). <em>T-test</em> terdapat dua belas hipotesis yang diterima dari sembilan belas hipotesis yang memiliki nilai lebih besar dari 1,96. Faktor-faktor yang paling kuat memengaruhi keberhasilan sistem adalah SU, US, STR, LO, dan SEQ.</p><p> </p><p class="Judul2"><strong><em>Abstract</em></strong></p><p class="Judul2"><em><em>Budgeting performance information system is used to monitor budget performance at the faculty of Sriwijaya University based on Budget Implementation Performance Indicator. An analysis using Human, Organization, and Technology-Fit (HOT-Fit) model is conducted to analize the system implementation, those components get a net benefit as impact. The studied model has eight variables, System Development (SD), System Use (SU), User Satisfaction (US), Structure (STR), Environment (LO), System Quality (SQ), Information Quality (IQ), and Service Quality (SEQ). With 59 respondents, two stage of PLS-SEM technique is used for analysis. Firstly, measurement models for reliability and validity. Reliability is set from loading factor and composite reliability which values above 0.7, </em><em>while the validity from AVE which values above 0.5 and cross-loading indicators where the block constructs from all variables higher than the correlation with others. Secondly, structural model, taken from the path coefficient, coefficient of determination, and t-test results, which have four insignificant pathways (LO→SD, LO→SU, SD→SU, SQ→US) which values below 0,1. The Coefficient of determination test has six variables with strong levels which values about 0,670 (LO, SD, SU, US, IQ, and SQ) and one moderate levels which values about 0,333 (STR). The T-test contained twelve accepted hypotheses from the nineteen hypotheses which values bigger than 1,96. The factors that strongly affect the success of the system are SU, US, STR, LO, and SEQ.</em></em></p><p class="Judul2"> </p>

scholarly journals Determinan Sistem Aplikasi Keuangan Tingkat Instansi (SAKTI): Pendekatan Human-Organization-Technology (HOT) Fit Framework

2021 ◽  
Vol 31 (3) ◽  
pp. 769
Author(s):  
Sudi Harnowo ◽  
Budi Santoso ◽  
Embun Suryani
Keyword(s):  
User Satisfaction ◽  
Structural Equation ◽  
Information Quality ◽  
Sampling Technique ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
System Quality ◽  
Net Benefit ◽  
Net Benefits

This study was conducted to examine and analyze the effect of the implementation of the Sistem Aplikasi Keuangan Tingkat Instansi (SAKTI) on user satisfaction and condition of organization, condition of organization on user satisfaction, the effect condition of organization and user satisfaction on net benefit. The population of this study were all 105 SAKTI users within the Ministry of Finance in West Nusa Tenggara Province and 43 samples with a random sampling technique. Partial Least Square Structural Equation Modeling (PLS-SEM) was used to process the data. The study revealed there are five positive and significant influences: first, information quality on user satisfaction, second, system quality on condition of organization, third, service quality on condition of organization, fourth, user satisfaction on net benefits, and condition of organization on net benefits. Keywords: SAKTI, HOT-Fit Framework, Net Benefits.

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