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Purpose As a business paradigm, social commerce (s-commerce) has brought about a new stage of innovation, and by extension, has transmuted the power from seller to buyer. S-commerce is a combination a commercial and social activities in which individuals may spread word of mouth (WOM) about their shopping experiences and knowledge and provide information about product and services to their to their friends. This kind of social interactions among individuals has increased the potentials of eWOM communication. Given such a backdrop, this paper aims to look into the influence of eWOM engagement on consumers’ purchase intention in s-commerce, which may complement the current effort of the research community in this area. Design/methodology/approach This study used elaboration likelihood model, theory of reasoned action and social support theory to investigate the influence of eWOM engagement on consumers’ purchase intention in s-commerce. The study used 218 respondents to evaluate the proposed model using SmartPLS. Findings The empirical results indicate that information characteristics, consumer behavior and technological factors exert a positive influence on consumer purchase intentions. All hypotheses between attitude toward eWOM, information credibility, innovativeness, website quality and eWOM engagement are significant. Also, eWOM engagement has a significant positive influence on consumer purchase intention. However, information quality and social support does not have any significant relationship with eWOM engagement. Research limitations/implications This study seeks to address the dearth of research in the field of s-commerce, especially as it relates to eWOM. The study proposes a new model and empirically validates the hypothesized relationships. This research can serve as a stepping stone for future research in this field. Practical implications This study is one of the early studies focusing on the influence of eWOM engagement, especially in s-commerce. The study offers comprehensive and empirically validated factors pertaining to eWOM engagement in s-commerce. The results of this study are also important to practitioners and online companies’ managers. The study’s model has demonstrated the contextualization of what makes customers engage in eWOM and its influence in s-commerce. The study will also offer insights for firms on how to encourage eWOM engagement among customers. Originality/value A new eWOM engagement model in s-commerce is proposed with consideration on information characteristics, consumer behavior, technological and social factors. The model is validated afterwards.

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The evolution of social commerce (s-commerce) has changed both businesses and customers. Therefore, understanding customer engagement behaviour in the s-commerce context has become a key competitive advantage for companies that aim to build a customer-centric business. The purpose of this study is to provide an in-depth review of customer engagement studies in the context of s-commerce. This study used a systematic literature review approach on customer engagement studies in the context of s-commerce. The results show that social theories and factors play a significant role in customer engagement along with technological factors. More importantly, drawn from the review results, a research framework was developed to show the factors that provide the greatest influence in customer engagement behavior.

During the last decade, sustainable fashion has attracted increasing attention from policymakers, firms, and consumers. This interest is also reflected in consumer behavior research in this area. Notwithstanding this, there are few systematic literature reviews from a consumer behavior perspective. The purpose of this paper is to systematically review and critically assess the studies on consumer behavior in sustainable fashion to identify the research gap in this context and inform a future research agenda. A total of 167 journal articles were identified, and a final sample of 88 articles were synthesized. A descriptive analysis was performed to examine the research methods, research trends, and theoretical underpinnings. Separately, a synthetic analysis was performed using the Stimulus‐Organism‐Response (S‐O‐R) framework. Findings reveal a significant increase in the volume of publications since 2009. Qualitative, experimental, cross‐cultural, and longitudinal studies are significantly less represented in the literature. No evidence of research using big data techniques were identified. Much of the research published is not adequately grounded in theory. The findings also suggest that the consumer attitude‐behavior gap requires further exploration. This review fills a need to summarize the current state of consumer behavior in sustainable fashion literature and provides valuable insights into the existing marketing corpus on the topic. Moreover, the review identifies a number of outstanding research gaps that can inform future research.

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The use of online social networks (OSNs) has increasingly attracted attention from scholars’ in different disciplines. Recently, student behaviors in online social networks have been extensively examined. However, limited efforts have been made to evaluate and systematically review the current research status to provide insights into previous study findings. Accordingly, this study conducted a systematic literature review on student behavior and OSNs to explicate to what extent students behave on these platforms. This study reviewed 104 studies to discuss the research focus and examine trends along with the important theories and research methods utilized. Moreover, the Stimulus-Organism-Response (SOR) model was utilized to classify the factors that influence student behavior. This study’s results demonstrate that the number of studies that address student behaviors on OSNs have recently increased. Moreover, the identified studies focused on five research streams, including academic purpose, cyber victimization, addiction, personality issues, and knowledge sharing behaviors. Most of these studies focused on the use and effect of OSNs on student academic performance. Most importantly, the proposed study framework provides a theoretical basis for further research in this context.

Background: E-learning is increasingly becoming a preference in higher education institutions worldwide; this is intended to assist educational institutions in achieving objectives to meet the proportion of individuals with their educational opportunities. Nevertheless, instructors and students frequently have concerns with their capacity to succeed in E-learning environments.Objectives: This study aimed to presents common eLearning challenges in regard to e-learning courses structure and its relations to various factors, for instance; students' autonomy, prior knowledge and experience, students-students dialogue, and students-instructor dialogue, and proposes solutions to these challenges based on the transactional distance theory. Moreover, this study presents evidence from Abuhassna et al. / Contemporary Educational Technology, 2022, 14(1), ep338 / 23Malaysian higher institutions based on theoretical models for e-learning course structure and its relations to the factors mentioned above.Methods: Data have been collected from 680 university learners all over Malaysia. Data were then examined using exploratory factor analysis, confirmatory factor analysis, and structural equation modelling employing Smart PLS 3.0 software. Results and conclusion:Research findings indicated that e-learning course structure was affected by all dimensions of overall path analysis findings: student autonomy, students background, student-instructor dialogue, and student-student dialogue. However, the e-learning course structure showed insignificant with students' prior experience.Implications: Implications for universities are discussed accordingly. Such findings provide vital support to the integrative association among collaborative control (CC) and transactional distance theory (TDT) regarding e-learning environments experience, which might support universities administrators in the higher education industry to implement, plan and evaluate online learning platforms applications in their institutions.