Meta-analysis of the DeLone and McLean models in e-learning success: the moderating role of user type

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mona Jami Pour ◽  
Javad Mesrabadi ◽  
Mohammad Asarian
Keyword(s):  
User Satisfaction ◽  
Meta Analysis ◽  
Effect Sizes ◽  
Empirical Literature ◽  
Net Benefit ◽  
Content Type ◽  
Delone And Mclean ◽  
Learning Success ◽  
E Learning ◽  
Quantitative Results

PurposeReviewing the existing literature in the field of e-learning success reveals a considerable number of studies that primarily investigate the causal relationships proposed by the DeLone and McLean (D&M) information system (IS) success model. However, the various relationships in the D&M model have found different levels of support or even contradictory results within the empirical literature. To synthesize the existing knowledge in the field of e-learning success, the authors have conducted a meta-analysis of e-learning success studies using D&M to combine the quantitative results and validate the model in this field. Furthermore, a moderator analysis involving user types was performed to examine the situation under which they may have different effects.Design/methodology/approachFor this purpose, through a systematic review of the studies, 44 independent studies were selected from 29 qualified related journals. In order to analyze the quantitative results of the studies, the meta-analysis of the effect sizes of the casual relationships in the D&M model has been used.FindingsThe findings indicated that all relationships of the model were supported. It was also revealed that the extent of effect sizes of the examined relationships depends on the type of user. Except for one relationship (user satisfaction and net benefit), all effect sizes of employees were more than those of students and teachers.Research limitations/implicationsThis meta-analysis reviewed the relationships found in the literature on D&M constructs in e-learning contexts. This study better explains the e-learning success factors by consolidating contradictory findings in the past researches and contributes to the existing e-learning success literature. The findings can assist educational institutions and organizations in decision-making because the findings resulting from the meta-analysis are more consistent than previous primary researches.Originality/valueDespite the widespread use of the D&M model in the field of e-learning success, no study has yet consolidated the quantitative findings of these studies and the current field abounds in some controversies and inconsistent findings. This paper integrates the results of empirical studies that examined the relationships within the D&M model. The main contribution of this paper, which is the first of its kind, is to apply meta-analysis to reconcile the conflicting findings, investigate the strengths of the relationships in the D&M model and provide a consolidated view.

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.

A dose-response and meta-analysis of phytosterols consumption on liver enzymes

2019 ◽  
Vol 50 (3) ◽  
pp. 579-600
Author(s):  
Somayeh Tajik ◽  
Kevan Jacobson ◽  
Sam Talaei ◽  
Hamed Kord-Varkaneh ◽  
Zeinab Noormohammadi ◽  
...  
Keyword(s):  
Liver Function ◽  
Design Methodology ◽  
Liver Enzymes ◽  
Weighted Mean Difference ◽  
Meta Analysis ◽  
Serum Biochemistry ◽  
Effect Sizes ◽  
Random Effects Model ◽  
Weighted Mean ◽  
Content Type

Purpose The results of human studies evaluating the efficacy of plant Phytosterols on liver function were inconsistent. Therefore, the purpose of this paper is to eliminate these controversies about the Phytosterols consumption on liver serum biochemistry in adult subjects. Design/methodology/approach The literatures systematically searched throughout PubMed and Scopus databases up to June 2018; it was conducted by using related keywords. Estimates of effect sizes were expressed based on weighted mean difference (WMD) and 95% CI from the random-effects model (erSimonian and Laird method). Heterogeneity across studies was assessed by using I2 index. Eighteen studies reported the effects of Phytosterols (PS) supplementation on liver serum biochemistry. Findings The current meta-analysis did not show a significant effect on ALT (MD: 0.165 U/L, 95% CI: −1.25, 1.58, p = 0.820), AST (MD: −0.375 IU/Liter, 95% CI: −1.362, 0.612, p = 0.457), ALP (MD: 0.804 cm, 95% CI: −1.757, 3.366, p = 0.538), GGT (MD: 0.431 U/L, 95% CI: −1.803, 2.665, p = 0.706) and LDH (MD: 0.619 U/L, 95% CI: −4.040, 5.277, p = 0.795) following PS consumption. Originality/value The authors found that no protective or toxic effects occur after the consumption of Phytosterols on liver enzymes including ALT, AST, ALP, LDH and GGT.

scholarly journals Do course evaluation systems have an influence on e-learning student satisfaction?

2019 ◽  
Vol 13 (1) ◽  
pp. 18-32 ◽  
Author(s):  
Óscar Martín Rodríguez ◽  
Francisco González-Gómez ◽  
Jorge Guardiola
Keyword(s):  
Student Satisfaction ◽  
User Satisfaction ◽  
Ordinary Least Squares ◽  
Assessment Method ◽  
Course Evaluation ◽  
Education Student ◽  
Content Type ◽  
Learning Satisfaction ◽  
E Learning ◽  
The Relationship

Purpose The purpose of this paper is to focus on the relationship between student assessment method and e-learning satisfaction. Which e-learning assessment method do students prefer? The assessment method is an additional determinant of the effectiveness and quality that affects user satisfaction with online courses. Design/methodology/approach The study employs data from 1,114 students. The first set of data was obtained from a questionnaire on the online platform. The second set of information was obtained from the external assessment reports by e-learning specialists. The satisfaction revealed by the students in their responses to the questionnaire is the dependent variable in the multivariate technique. In order to estimate the influence of the independent variables on the global satisfaction, we use the ordinary least squares technic. This method is the most appropriate for dependent discrete variables whose categories are ordered but have multiple categories, as is the case for the dependent variable. Findings The method influences e-learning satisfaction, even though only slightly. The students are reluctant to be assessed by a final exam. Students prefer systems that award more importance to the assessment of coursework as part of the final mark. Practical implications Knowing the level of student satisfaction and the factors that influence it is helpful to the teachers for improving their courses. Originality/value In online education, student satisfaction is an indicator of the quality of the education system. Although previous research has analyzed the factors that influence e-student satisfaction, to the best of authors’ knowledge, no previous research has specifically analyzed the relationship between assessment systems and general student satisfaction with the course.

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.

Emotional intelligence and authentic leadership: a meta-analysis

2018 ◽  
Vol 39 (5) ◽  
pp. 679-690 ◽  
Author(s):  
Chao Miao ◽  
Ronald H. Humphrey ◽  
Shanshan Qian
Keyword(s):  
Emotional Intelligence ◽  
Individual Difference ◽  
Design Methodology ◽  
Authentic Leadership ◽  
Meta Analysis ◽  
Self Report ◽  
Effect Sizes ◽  
Content Type ◽  
Individual Difference Variables ◽  
Male Dominated

Purpose Authentic leadership is a popular leadership construct that stimulates considerable scholarly interest and has received substantial attention from practitioners. Among different individual difference variables, there has been a growing interest in studying the connection between emotional intelligence (EI) and authentic leadership; nevertheless, most of the existing literature on this relation was atheoretical and the results for this relation were mixed. Thus, the purpose of this paper is to clarify the relation between EI and authentic leadership. Design/methodology/approach A meta-analysis was conducted to examine the relation between EI and authentic leadership and the moderators that affect this relation. Findings The results of the present study indicated that: EI is significantly and positively related to authentic leadership (overall EI: ρ ¯ ˆ = 0.49 ; ability EI: ρ ¯ ˆ = 0.08 ; self-report EI: ρ ¯ ˆ = 0.52 ; mixed EI: ρ ¯ ˆ = 0.49 ); self-report EI and mixed EI have larger associations with authentic leadership than ability EI has; and the relation between EI and authentic leadership does not differ between male-dominated and female-dominated studies. Originality/value The present study couches the relation between EI and authentic leadership in theories and identifies important moderators for this relation which explain the heterogeneity in effect sizes for this relation across studies.

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

Quality factors and performance outcome of cloud-based marketing system

Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ying Liu ◽  
Tang Wang
Keyword(s):  
User Satisfaction ◽  
Intention To Use ◽  
Quality Factors ◽  
Marketing System ◽  
Content Type ◽  
Performance Outcome ◽  
Delone And Mclean ◽  
Marketing Systems ◽  
And Performance ◽  
The Impact

Purpose This study aims to propose an integrated model based on the DeLone and McLean Information System Success Model (DMISS) to examine whether quality factors (system, service and information) can affect user satisfaction and performance of cloud-based marketing systems. Design/methodology/approach Recently, technologies change quickly, innovation becomes a vital base of productivity and sustainable growth of businesses is widely accepted. Cyber-physical system technologies help industries change production and marketing cycles according to customers’ needs in real-time. In addition, processing information through cloud service helps companies meet customer needs. The advantages of cloud technology also make it easier for companies to quickly collect the latest data from various sources, making it more effective in decision-making. This research recommends cloud-based marketing to help companies maximize their revenue by providing useful information and better quality for business development. The data were gathered from China automotive companies’ customers. A total of 220 questionnaires were distributed, and 165 (82.5%) usable questionnaires were analyzed using structural equation modeling. Findings This study verified that costumers’ perceived information quality, system quality and service quality positively caused the user satisfaction in the cloud-based marketing system. Practical implications This paper presents beneficial advice for improving cloud-based marketing systems. Besides, the topic is relevant to cloud-based marketing systems’ success. A better understanding of the impact of intention to use and user satisfaction on cloud-based marketing systems could significantly enhance companies’ success. This paper’s theoretical and practical contributions are expressed to guide organizations and policymakers in increasing cloud-based marketing systems acceptance. Originality/value This study empirically tests the relationship of quality factors and performance outcome of cloud-based marketing system through a model based on DeLone and McLean theory. This study bridges the research gap by identifying the factors that drive the adoption of cloud-based services in marketing and the impact of user satisfaction and intention to use on the cloud-based marketing system performance in the case of china companies.

A metaBUS-enabled meta-analysis of career satisfaction

2017 ◽  
Vol 22 (5) ◽  
pp. 565-582 ◽  
Author(s):  
Colin I.S.G. Lee ◽  
Frank A. Bosco ◽  
Piers Steel ◽  
Krista L. Uggerslev
Keyword(s):  
Design Methodology ◽  
Career Satisfaction ◽  
Meta Analysis ◽  
Sample Selection ◽  
Effect Sizes ◽  
Applied Psychology ◽  
Content Type ◽  
Related Information ◽  
Literature Searches ◽  
Meta Analyses

Purpose In this study, the authors revisit the meta-analytic correlates of career satisfaction and demonstrate the use of metaBUS – a database repository of meta-analytic effect sizes and related information from the field of applied psychology. The purpose of this paper is to extend prior meta-analytic research on the topic of career satisfaction and compare the results from the metaBUS-enabled meta-analysis, with the results from meta-analyses that do not build on the repository. Design/methodology/approach A multilevel meta-analysis was conducted on all correlates available in the metaBUS database and the approach was described in a step-by-step fashion. Findings The demonstration reiterated some of the findings of prior meta-analyses, but also revealed considerable incongruity between the sample taken from the metaBUS database and the meta-analytic sample from studies that relied on non-metaBUS-based literature searches. Nevertheless, the results are similar in terms of the directions of the effects and the relative sizes of the effects. Research limitations/implications The paper demonstrates the use of the metaBUS database. In addition, results suggest that meta-analyses on career satisfaction might have suffered from sample selection issues, but further research is required in order to establish the source of the sample selection incongruence. Originality/value This is the first step-by-step demonstration of the use of metaBUS specifically for meta-analyses.

How selection attributes affect golfers’ satisfaction: a meta-analysis

2019 ◽  
Vol 31 (4) ◽  
pp. 944-956
Author(s):  
Hyun-Duck Kim ◽  
Angelita Bautista Cruz
Keyword(s):  
South Korea ◽  
Design Methodology ◽  
Citation Index ◽  
Meta Analysis ◽  
Effect Sizes ◽  
Golf Courses ◽  
Asian Countries ◽  
Content Type ◽  
Facility Type ◽  
The Relationship

Purpose The purpose of this paper is to summarize the results of existing studies that addressed the relationship between the selection attributes of golf businesses and golfers’ satisfaction in South Korea. Design/methodology/approach Studies on the relationship between selection attributes and satisfaction per golf facility type were retrieved from the Korean Citation Index. Using Comprehensive Meta-Analysis version 2, the effect sizes (ESs) for the following relationships were calculated: between selection attributes and satisfaction with golf facilities in general; between selection attributes and satisfaction per distinct golf facility types (outdoor golf courses vs screen golf facilities); and between the sub-factors of selection attributes and satisfaction per golf facility. Findings Medium ESs were found between selection attributes and satisfaction with golf facilities in general (0.394), outdoor golf courses (0.336) and screen golf facilities (0.370). The choice attribute factors of accessibility, employees and concession had large effects on golfers’ satisfaction with outdoor golf courses, while services and concession had large effects on golfers’ satisfaction with screen golf facilities. Originality/value Among many Asian countries, golf is extremely popular and attracts more business than other sports; however, changes in consumer viewpoints and business trends necessitate consistent refinement. This meta-analytic approach offered a macro perspective on how golf facility administrators might sustain and develop their businesses by highlighting what choice attributes matter most to golf consumers.

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