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Learners' satisfaction with Massive Open Online Courses (MOOCs) has been evaluated through quantitative approaches focusing on survey-based methods in several studies. User-Generated Content (UGC) has been an effective approach to assess users' interactions with e-learning systems. Other than survey-based methods, the UGC generated from MOOCs learners can provide wider perspectives of learners' experiences using text mining approaches. Educational Data Mining (EDM) uses data mining, machine learning, and statistics to explore the information generated from educational portals. This study aims to explore learners' levels of satisfaction with MOOCs by presenting a new hybrid approach for EDM that combines both machine learning and survey-based methodologies to investigate the factors that can enhance learners' satisfaction with MOOCs. To address the goal of this study, the Latent Dirichlet Allocation (LDA) is used for analyzing learners' reviews, Self-Organizing Maps (SOM) is used for data segmentation, and Adaptive Neuro-Fuzzy Inference Systems (ANFIS) is utilized for predicting the learners' satisfaction from the identified factors. Based on the analysis of the first stage using the EDM approach, a research model is designed, and a questionnaire is distributed among MOOCs learners. The data is analyzed using PLS-SEM to provide proof of the reliability and validity of the research model and to confirm the significance of the research paths. Several methodological and practical contributions are presented based on the analysis of the proposed methodology.

The prime objective of this research was to investigate procrastination as a prospectively constructive element of the creative process among employees working at different hierarchical levels in a Chinese organization. Building on self-determination theory, this research postulates a connection between procrastination and creativity through the incubation of knowledge absorption, autonomous motivation and task engagement as boundary conditions. Data was collected from 213 individuals from the workforce and their immediate managers belonging to a Chinese furniture company; then analyzed with Mplus for simple regression analysis, mediated moderated analyses, and coefficient estimates of all the study variables. The outcomes of this investigation showed an inverse relationship between procrastination with creativity, while creativity being strongest in the medium levels of procrastination; however, when autonomous motivation and/or task engagement are strong, procrastination depicts an inverted-U-shaped association; however, in scenarios where both autonomous motivation and the task engagement are low, procrastination has a negative linear relationship. With the results of this research, we have shown that moderate procrastination has a causal effect on the generation of creative ideas. This research demonstrated that as long as employees had strong autonomous drive or high task engagement, their supervisors awarded them better ratings when they procrastinated moderately on their assignments. Limitations and future research directions were also discussed.

Despite numerous potential benefits of cloud computing usage, there are still some users reluctant to adopt this technology. This study aims to investigate the factors that influence student adoption of cloud computing in higher education settings and to generate a set of decision rules to guide through a series of critical decisions needed in this adoption process. Accordingly, a two-stage Structural Equation Modelling (SEM)-Classification and Regression Trees (CART) methodology is applied in order to test the overall research model and related hypotheses as well as to generate decision rules to predict behavioural intention towards adoption. Using survey questionnaire method, a total of 418 valid questionnaires are collected from students of top-ranked Malaysian universities. The results show that task-technology fit, performance expectancy, effort expectancy, social influence, self-efficacy, collaboration technology experience, peer and superior influence and familiarity with group members are significant predictors of intention to adopt cloud computing. The findings of this study can serve as a guideline for the ministry of education, university administrators, and cloud service providers to manage the successful adoption of cloud computing in the education sector.

Purpose: Drawing on social exchange theory (SET), this study explores the mediating role of quiescent silence as a link between organizational stressors and turnover intentions among Russian frontline employees (FLEs). Furthermore, we aim to investigate whether coworker support moderates the relationship between quiescent silence and turnover intentions.

Social networking sites have played an important role in enhancing students' social presence. As an educational tool for online courses, they have significantly contributed in promoting students' motivation for learning. The aim of this research is to investigate the impact of social networking sites on students' academic performance. We conduct a comprehensive review on the usage of social networking sites in academic environments to identify the influential factors and propose a new model based on several research hypotheses. To evaluate the hypotheses and verify the proposed model, a survey is conducted on the female students from a major research university in Malaysia. We use Decision Making Trial and Evaluation Laboratory to perform the data analysis. In relation to the statistical technique, this technique can find the casual relationships among the factors, their effect size and their importance levels. The results of our survey revealed that there is positive relationship between social presence, students' social wellbeing and their academic performance.

For the past decade, human capital has been recognized as one of the crucial assets of any firm’s overall performance. Previous studies widely advocated a linear link between human capital and innovative firm performance, arguing that there are a variety of factors to examine if the relationship between human capital and innovative firm performance is to be properly understood. The focus of this study was to examine the effect of social capital on the relationship between human capital and innovative firm performance. Specifically, it examined the relationship between human capital and social capital and between human capital and innovative firm performance. It also examined the relationship between social capital and innovative firm performance. A total of 294 questionnaires were obtained from managerial staff in automotive companies in Malaysia and the data was analysed using the Partial Least Squares (PLS) test. The results indicated a direct effect between human capital and innovative performance. It was found that human capital is significantly related to social capital and that there is a significant relationship between social capital and innovative firm performance, indicating the ability of social capital to improve innovative firm performance. Finally, it revealed that innovative firm performance could be achieved by human capital through the role of valuable social capital and that good innovative firm performance leads to more prudent and sustainable organisations. The results provide pertinent implications for academia, policymakers and market players while also contributing to the research fields of strategic management, human capital, social capital and performance.