scholarly journals INDIKATOR USER SATISFACTION DALAM APLIKASI E-LECTURE (VIDEO PEER-EVALUATION PADA ONLINE CBL)

CCIT Journal ◽  
2018 ◽  
Vol 11 (2) ◽  
pp. 245-256
Author(s):  
Diah Aryani ◽  
Muhamad Yusup ◽  
Ilamsyah Ilamsyah
Keyword(s):  
User Satisfaction ◽  
Structural Equation ◽  
Structural Model ◽  
Measurement Model ◽  
Equation Modeling ◽  
Peer Evaluation ◽  
Learning Method ◽  
Interactive Approach ◽  
Hypothesis Model ◽  
E Learning

Currently, the learning process of more interactive e-learning method in college becomes a necessity, but the current e-learning learning method still uses the Teacher Centred Learning (TCL) approach. Of course, this TCL approach is less relevant for its high use of curriculum that refers to the National Qualification Framework (KKNI) so it is necessary to integrate into a more active and interactive approach that is Collaborative Learning (CbL) approach. CbL's approach to the implementation of the student becomes more active in developing knowledge and learning skills so as to create a more cooperative, supportive and cooperative classroom climate. Implementation of e-learning with Cbl approach, students in collaboration with their groups and exposing presentation materials online in the form of presentation videos by each group and other groups directly assess the presentation to each member of the presentation group. Usability analysis of video peer evaluation application on CbL online using user satisfaction focused on usability aspect analysis where user acting as Video Peer-Evaluation application user. In this research, the method of analysis using Structural Equation Modeling (SEM) or structural equation model is a multivariate analysis that is used to analyze relationships between variables in a complex manner. the main requirement of using SEM is to design hypothesis model by using structural model and measurement model in the form of path diagram. It is hoped that this research can remind the satisfaction that can be used to measure the success of Video Peer Evoluation application in online colaborative learning

scholarly journals Satisfaction of E-Learners with Electronic Learning Service Quality Using the SERVQUAL Model

2021 ◽  
Vol 7 (4) ◽  
pp. 227
Author(s):  
Razia Sultana Sumi ◽  
Golam Kabir
Keyword(s):  
Service Quality ◽  
User Satisfaction ◽  
Structural Equation ◽  
Measurement Model ◽  
Equation Modeling ◽  
Website Design ◽  
Distance Teaching ◽  
Electronic Learning ◽  
E Learning ◽  
The Impact

Electronic learning (E-learning) is an innovative learning tool that provides an opportunity for technology-driven distance teaching. E-learning not only enhances learning quality, but it has also become the only medium of learning during the COVID-19 pandemic, when people have been forced to stay at home. Due to the pandemic, most countries have initiated online learning to continue the learning process, thus lessening the study gap. Against this backdrop, it is imperative to explore the perception and satisfaction level of e-learners regarding e-learning tools. In this study, a quantitative approach was conducted on the students of two leading public universities (graduates and postgraduates) to identify the impact of the determinants of the SERVQUAL model (reliability, responsiveness, assurance, empathy, and website design), as well as ‘learning content’, on overall perceived quality and satisfaction. In total, 895 respondents participated in the study, and data were analyzed with Amos 23 to confirm the hypotheses, utilizing structural equation modeling. The findings reveal that all the variables of the measurement model had a significant effect on perceived service quality and thus user satisfaction except for responsibility. The results make a significant contribution to those decision-makers and university authorities attempting to ensure e-learners’ satisfaction.

scholarly journals Development of a System Measurement Model of the Brazilian Hospital Accreditation System

2018 ◽  
Vol 15 (11) ◽  
pp. 2520 ◽  
Author(s):  
João Corrêa ◽  
João Turrioni ◽  
Carlos Mello ◽  
Ana Santos ◽  
Carlos da Silva ◽  
...  
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Structural Model ◽  
Measurement Model ◽  
Equation Modeling ◽  
Scientific Software ◽  
Health Organizations ◽  
Hospital Accreditation ◽  
Management Quality ◽  
Culture Process

The purpose of this study is to develop and validate a measurement model that evaluates the Brazilian hospital accreditation methodology (ONA), based on a multivariate model using structural equation modeling (SEM). The information used to develop the model was obtained from a questionnaire sent to all organizations accredited by the ONA methodology. A model was built based on the data obtained and tested through a structural equation modeling (SEM) technique using the LISREL® software (Scientific Software International, Inc., Skokie, IL, USA). Four different tests were performed: Initial, calibrated, simulated, and cross-validation models. By analyzing and validating the proposed measurement model, it can be verified that the selected factors satisfy the required criteria for the development of a structural model. The results show that leadership action is one of the most important factors in the process of health services accredited by ONA. Although, leadership, staff management, quality management, organizational culture, process orientation, and safety are strongly linked to the development of health organizations, and directly influence the accreditation process.

The effect of clustering on competitiveness improvement in Hebron

2017 ◽  
Vol 28 (5) ◽  
pp. 631-654 ◽  
Author(s):  
Ibrahim M. Awad ◽  
Alaa A. Amro
Keyword(s):  
Structural Equation ◽  
Structural Model ◽  
Model Building ◽  
Measurement Model ◽  
Background Information ◽  
Equation Modeling ◽  
Future Research ◽  
Research Model ◽  
Content Type ◽  
The Impact

Purpose The purpose of this paper is to map the cluster in the leather and shoes sector for improving the competitiveness of the firms. Toward this end, the study is organized to examine the impact of clustering on competitiveness improvement. The influence of competitive elements and performance (Porter’s diamond) and balanced score card was utilized. Design/methodology/approach A random sample of 131 respondents was chosen during the period from May 2016 to July 2016. A structural equation modeling (SEM) analysis was applied to investigate the research model. This approach was chosen because of its ability to test casual relationships between constructs with multiple measurement items. Researchers proposed a two-stage model-building process for applying SEM. The measurement model was first examined for instrument validation, followed by an analysis of the structural model for testing associations hypothesized by the research model. Findings The main findings show that there is a unidirectional causal relationship between improvements of performance and achieve competitiveness and also reveal that the Palestinian shoes and leather cluster sector is vital and strong, and conclude that clustering can achieve competitiveness for small- and medium-sized enterprises. Research limitations/implications Future research can examine the relationship between clustering and innovation. The effect of clustering using other clustering models other than Porter’s model is advised to be used for future research. Practical implications The relationships among clustering and competitiveness may provide a practical clue to both, policymakers and researchers on how cluster enhances economic firms such as a skilled workforce, research, development capacity, and infrastructure. This is likely to create assets such as trust, synergy, collaboration and cooperation for improved competitiveness. Originality/value The findings of this study provide background information that can simultaneously be used to analyze relationships among factors of innovation, customer’s satisfaction, internal business and financial performance. This study also identified several essential factors in successful firms, and discussed the implications of these factors for developing organizational strategies to encourage and foster competitiveness.

scholarly journals Identifying the Impact of Strategic Alliances on the Performance of SMEs (Case Study: The Industry of Automotive Parts Manufacturers in Iran)

2017 ◽  
Vol 10 (6) ◽  
pp. 227 ◽  
Author(s):  
Kambiez Talebi ◽  
Jahangir Yadollahi Farsi ◽  
Hamideh Miriasl
Keyword(s):  
Strategic Alliances ◽  
Structural Equation ◽  
Structural Model ◽  
Reliability And Validity ◽  
Measurement Model ◽  
Equation Modeling ◽  
Innovative Capabilities ◽  
Automotive Parts ◽  
Technical Features ◽  
The Impact

This study has investigated the effects of strategic alliances on the performance of small and medium sized enterprises (SMEs) of the industry of automotive parts manufacturers. Questionnaires have been distributed among 400 senior managers of SMEs of the industry of auto parts manufacturers based on stratified random sampling. The data has been analyzed using structural equation modeling software and PLS2 software in two segments of measurement model and structural model. In the first segment, technical features of the questionnaire were tested in terms of reliability and validity. Moreover, in the second segment, t-test was used to test research hypotheses. The results show that there is a significant and positive relationship between the dimensions of strategic alliances, including new opportunities, entrepreneurial and innovative capabilities, social capital, and internationalization of business, and competitive advantage with the performance of SMEs.

scholarly journals Prediksi Minat Perilaku Menggunakan Jasa Pajak Elektronik: Analisis Faktor Konfirmatori

InFestasi ◽  
2018 ◽  
Vol 13 (2) ◽  
pp. 321
Author(s):  
Jullie J. Sondakh
Keyword(s):  
Factor Analysis ◽  
Structural Equation Modeling ◽  
Confirmatory Factor Analysis ◽  
Behavioral Intention ◽  
Latent Variable ◽  
Structural Equation ◽  
Structural Model ◽  
Measurement Model ◽  
Equation Modeling ◽  
Confirmatory Factor

<p class="Ventura-Abstract">The purpose of this research is to predict the tax payer behavioral intention of using the e-SPT through the application of Technology Acceptance Model (TAM).</p><p class="Ventura-Abstract">This research used survey method to collect primary data from the population of tax payer in the city of Manado and Bitung with 156 respondents while using judgement sampling method.The data analysis is using Structural Equation Modeling (SEM) that consists of two steps; the measurement model and structural model. The focus of this research is on the first step of SEM modeling, which is the measurement model by using the Confirmatory Factor Analysis (CFA). The purpose of this analysis is to test the validity and reliability from the indicator of the construct or latent variable researched, thus, we will obtain the fit construct or latent variable before proceeding to the next step of SEM which is the structural model.Based on the confirmatory factor analysis (CFA), we obtained the validity test result, convergent validity, and reliability test result, construct reliability and variance extracted, from the indicator of construct or latent variable which are perceived usefulness, perceived ease of use, attitude towards e-SPT, and behavioral intention to use e-SPT. The reliabilty and validity test result showed that there is no indicator from all the tested latent variable to be excluded for the next step of Structural Equation Modeling (SEM)  which is the structural model.</p><p class="Ventura-Abstract"> </p><p class="Ventura-Abstract">Tujuan penelitian ini adalah melakukan prediksi minat perilaku wajib pajak menggunakan  e-SPT melalui penerapanTechnology Acceptance Model (TAM). Penelitian ini menggunakan metode survei untuk mengumpulkan data primer dari populasi yaitu wajib pajak di Kota Manado dan Bitung dengan jumlah sampel sebanyak 156 responden serta penentuan sampel berdasarkan metode  judgment sampling. Teknik analisis data menggunakan pemodelan Structural Equation Modeling (SEM) yang terdiri  dari dua tahapan yaitu model pengukuran (measurement model) dan model struktural (structural model). Fokus penelitian ini adalah pada pemodelan SEM tahap pertama yaitu model pengukuran (measurement model)  melalui  analisis faktor konfirmatori (Confirmatory Factor Analysis - CFA). Analisis ini  bertujuan  untuk menguji validitas dan reliabilitas dari indikator-indikator pembentuk konstruk atau variabel laten yang diteliti sehingga diperoleh  konstruk atau variabel laten yang fit  sebelum lanjut ke tahap pemodelan SEM berikutnya  yaitu model struktural. Berdasarkan analisis faktor konfirmatori (Confirmatory Factor Analysis - CFA) diperoleh hasil uji validitas yaitu signifikansi  factor loading (convergent validity) dan reliabilitas (construct reliability dan variance extracted) dari indikator pembentuk konstruk atau variabel laten kegunaan persepsian (Perceived Usefulness), kemudahan penggunaan persepsian (Perceived ease of use), sikap terhadap penggunaan  e-SPT (Attitude towards e-SPT) dan  minat perilaku  menggunakan e-SPT (Behavioral intention to use e-SPT). Hasil uji validitas dan reliabilitas ini menunjukan bahwa tidak ada indikator dari variabel kegunaan persepsian (Perceived Usefulness), kemudahan penggunaan persepsian (Perceived ease of use), sikap terhadap penggunaan  e-SPT (Attitude towards e-SPT) dan  minat perilaku  menggunakan e-SPT (Behavioral intention to use e-SPT) yang di hilangkan pada analisis selanjutnya yaitu pemodelan Structural Equation Modeling (SEM) tahap kedua  sehingga  dapat dilakukan estimasi model persamaan struktural (structural model).</p>

Developing a Mathematical Model of Entrepreneurship Based on Transformational Leadership Behavior

2015 ◽  
Vol 72 (5) ◽  
Author(s):  
Fatemeh Rashed ◽  
Amir Hosein Moradi Deluyi ◽  
Khadijah Daud
Keyword(s):  
Transformational Leadership ◽  
Entrepreneurial Orientation ◽  
Structural Equation ◽  
Structural Model ◽  
Leadership Behavior ◽  
Academic Staff ◽  
Measurement Model ◽  
Equation Modeling ◽  
The University ◽  
University Industry

This study aimed to reduce the university-industry gap from the perspective of leadership and entrepreneurship. The focus of this research is to assess the influence of transformational leadership of manager on academic staff’s entrepreneurial orientation and to pave the way for identifying potential opportunities, generating new ideas in industrial relation, and to subsequently narrow the university-industry problem. In order to understand the contribution of leadership within the university–industry context, this research reviewed the effect of transformational leadership style on entrepreneurial orientation and then examined the existing relationship. The population of this study is the academic staff of a public university in Iran. A research sample of 295 academic staff was chosen by using stratified sampling technique. Technical analysis of data applied Structural Equation Modeling in two step: measurement model for testing the construct validity of questionnaires and structural model for hypothesizes testing with mathematical program. The results showed that transformational leadership was the best predictor for entrepreneurial orientation. The research findings in this study revealed that the quality of transformational leadership within an organization had an effect on the entrepreneurial orientation. One of the managerial implications of this study is to reinforce the recognition and basis of enhancing entrepreneurial orientation by transformational leadership.

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.

“Can you do something about the price?” – Exploring the Indian deal and bargaining-prone customer

2015 ◽  
Vol 32 (5) ◽  
pp. 356-366 ◽  
Author(s):  
Jagrook Dawra ◽  
Kanupriya Katyal ◽  
Vipin Gupta
Keyword(s):  
Factor Analysis ◽  
Structural Equation ◽  
Structural Model ◽  
Measurement Model ◽  
Two Dimensions ◽  
Equation Modeling ◽  
Special Treatment ◽  
Content Type ◽  
Customer Base ◽  
Value Consciousness

Purpose – The paper aims to study how deal- and bargaining-prone customers are different from each other. This paper brings out this difference based on psychographics encompassing values – consciousness, price mavenism and personality orientations – needed for special treatment (distinctiveness and play). Design/methodology/approach – The measurement model was assessed using both exploratory factor analysis and confirmatory factor analysis. The structural model was tested using structural equation modeling. Findings – This paper finds that value consciousness is a two-dimensional construct in the Indian context. This construct comprises two dimensions of value consciousness, including concern for price and concern for quality. The authors find that deal-prone customers are value conscious and price mavens. Bargaining-prone customers are value-conscious price mavens and have a high need for special treatment (play). Play orientation distinguishes between a deal-prone and a bargaining-prone customer. Research limitations/implications – The study was limited to grocery products. The consumers surveyed were urban and educated Indians. Practical implications – With the Indian markets being opened for Western retailers, it is imperative to study the Indian consumers. It is important to understand why the local neighborhood store is able to retain its customer base even when the organized fixed-price formats have been around for approximately 20 years. Originality/value – This is one of the few papers that tries to understand the Indian consumer’s buying behavior, especially with respect to their haggling nature. This paper further develops our understanding of the “deal proneness” and “bargaining proneness” constructs. The authors also study their differences based on psychographics.

E-Learning Service Delivery Quality

2013 ◽  
pp. 89-127 ◽  
Author(s):  
Ahmed Younis Alsabawy ◽  
Aileen Cater-Steel ◽  
Jeffrey Soar
Keyword(s):  
Service Delivery ◽  
User Satisfaction ◽  
Structural Equation ◽  
Critical Role ◽  
Learning Systems ◽  
Equation Modeling ◽  
Educational Institutions ◽  
E Learning ◽  
Electronic Channels

E-learning systems have received considerable attention from researchers, educational institutions, and organisations for their anticipated benefits. The objective of e-learning systems is to provide students with educational services via electronic channels. User dissatisfaction is considered the main issue facing universities in regards to e-learning systems. Service Delivery Quality (SDQ) can be deemed an essential concern for management and customers. This research investigates the role of SDQ on user satisfaction on two levels: the effect of SDQ on user satisfaction, and the effect of each sub-dimension of SDQ on user satisfaction. This paper reports on a study which surveyed 720 external students at an Australian university. The findings highlight the critical role of SDQ on user satisfaction. Based on the results of structural equation modeling and content analysis, a set of recommendations was formulated. The aim was to help improve service delivery quality, user satisfaction, and greater overall success of e-learning systems.

Case study of a structural model to explore the effects of knowledge sharing on intellectual capital

2016 ◽  
Vol 46 (3) ◽  
pp. 338-352 ◽  
Author(s):  
Peyman Akhavan ◽  
Farnoosh Khosravian
Keyword(s):  
Structural Equation Modeling ◽  
Knowledge Sharing ◽  
Intellectual Capital ◽  
Structural Equation ◽  
Structural Model ◽  
Measurement Model ◽  
Equation Modeling ◽  
Extensive Literature ◽  
Content Type

Purpose It is commonly known that intellectual capital (IC) plays a remarkable role in organizations, especially in colleges and academic centers. The purpose of this study is to investigate the effects of knowledge sharing (KS) on IC. Design/methodology/approach Based on the extensive literature review, a questionnaire was designed. The questions were composed of two parts; KS questions and IC questions. In total, 352 students completed questionnaires in the Shahinshahr branch of Payam-e-Noor University. Structural equation modeling was used to develop the measurement model. Findings The findings showed that KS has a significant positive correlation with IC and its dimensions. The structural equation modeling confirmed the research model and showed a good match with it. Originality/value Given that this study aimed to examine KS and IC, it implies that with optimized knowledge management in universities, providing the infrastructures of KS and strengthening students’ motivational factors, KS capacities can be enhanced and IC of universities would be strengthened.

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