Engagement in Massive Open Online Courses (MOOCs) is based on students who self-organize their participation according to their own goals and interests. Visual materials such as videos and discussion forums are basic ways of engaging students in MOOCs. Student achievement in MOOCs is typically measured using assessments distributed throughout the course. Although there is research on the basic forms of student’s engagement and assessment in MOOCs, little is known about their effect on students’ achievement in the form of students completing a MOOC. Using binomial logistic regression models, this paper addresses this gap in the literature by presenting the degree to which student engagement with videos and forum posts can predict students’ probability of achievement in a MOOC. It also explores the extent to which participation behaviors and their intention to receive the course certification can be used to predict achievement in MOOCs. Using qualitative content analysis, this paper discusses the quality of the forum posts exchanged by participants in this MOOC. The findings from quantitative analysis support MOOC’s pedagogical assumptions, showing that students’ engagement in forums and with videos increases the probability of course achievement. It also shows that intention to certify plays a moderator effect on the number of videos watched, enhancing achievement in MOOCs. The findings from qualitative analysis reveal that most students’ posts in forums display more information acquisition than critical thinking. Implications for practice suggest MOOC designers and MOOC instructors foster engagement in forums by implementing discussion prompts that foster interactions about deep meaning of concepts or application of concepts covered in the MOOC. In regard to videos, implications for practice suggest the creation of interactive videos that promote students’ engagement and control such as inserting guiding questions and segmenting the video content. Future research comprising multiple MOOC cohorts is suggested to validate the empirical model presented in this study.

The COVID-19 pandemic triggered a strict 100-day lockdown period in Spring of 2020 in China. One of the consequences of the lockdown was the disruption of the food supply chain for the millions of people confined to their homes. The well-established online food delivery service (OFDS) in China were disrupted by pressure to scale up rapidly to resolve the last mile of food delivery. The importance of the OFDS during periods of crises became apparent, as did the realization that uninterrupted food distribution was only possible due to the presence and scalability of the existing delivery network. Focusing on the importance of an established OFDS as a foundation for food distribution, this paper seeks to explore factors that affect consumers’ perception and acceptance of the retail food delivery system in urban China. By applying the extended theory of planned behavior (TPB), mean value calculation, univariate linear regression, and multiple linear regression have been adopted to test the hypotheses. Data obtained online from 260 participants demonstrate that the software’s characteristics concerning hedonic motivation (HM), convenience motivation (CM), perceived ease of use (PEOU), navigational design (ND), information quality (IQ), privacy and security (PS), restaurant credibility (RC), and perceived severity (Psev) have positive and significant impacts on customers’ intention to use (ITU), and thus, affects the actual use (AU) of the application in a positive way. The findings of this research contribute to the existing literature by consolidating, validating, and extending the TPB model, especially under the large-scale public health crisis circumstances. Customized practical insights are provided to emphasize developing HM, CM, Psev, and RC factors with maximal marginal effects that promote consumer acceptance; this is a prerequisite to the development of a robust OFDS. which can be repurposed during periods of crises to provide sustainable last-mile food delivery networks.

Purpose: As technology-mediated communication improves, many organizations increasingly use new types of collaborative online tools to promote team-based learning and performance. The purpose of this study is to explore how virtual team leaders cope with process challenges in developing a context for team creativity.Design/methodology/approach: The authors interviewed nine leaders who have worked for more than five years and managed virtual teams in different fields.Findings: This research uncovered distrust, personality differences, generational differences in views, scheduling issues and technology difficulties as the top five inhibitors for virtual team creativity and success. The authors identified seven main strategies for developing virtual team creativity and success. The authors found that building “team norms” and guidelines to encourage positive interactions between team members can facilitate team creativity. In addition, a concept of trust-based open communication was identified as one of the important strategies when teams actively use technology-mediated communication tools.Practical implications: Organizational practitioners can use the results of this study when developing knowledge to establish assessments regarding which employees possess the appropriate characteristics to lead virtual teams and implement virtual team training.Originality/value: This study emphasizes the importance of technology in professional lives by showing how technology-mediated work leads to success in learning and producing creative ideas and performance in a virtual team environment.

The rapid expansion and diversification of human resource development (HRD) research and practices is a welcoming sign for HRD scholars, who are interested in improving a social system through developing human resources. At the same time, however, it raises questions about the core identity and boundary of the field and desirable future directions. This study aims to trace the significant thematic periods, called the wave in the evolution of HRD, from its early development days to the present. In doing so, we present how “the body of HRD knowledge is evolving through the intellectual evolutionary process” based on analyses of widely cited definitions, influential work, and connections among co-appearing research topics. As the finding, we identified three distinctive waves of evolutionary phases of HRD research: (a) developing definition of disciplinarity, (b) competition and selection between major paradigms, and (c) divergence and expansion of topics. Major characteristics of each period and the influence between periods were also described.

Although previous studies on human resource management (HRM) research trends in the global context provided very useful information about the structures of HRM research trends, they have critical limitations. Despite the growing contribution and significance of HRM practices in Korea, a dominant group of scholars has rarely focused on what is going on in the research community in the country. To overcome the limitations and fill the gaps found in studies on the global HRM trends, the purpose of this study is to conduct the keyword network analysis investigating the semantic network structure composed of Korean HRM studies. A total of 1158 research papers published by three top peer-reviewed HRM journals in Korea that were published from 2007 to 2018 were analyzed. The result shows that the whole network structure of Korean HRM has a complex semantic structure that is socially constructed. Additionally, this study identified the top 10 prominent keywords and its ego-centric networks, and nine thematic clusters. By adopting keywords network analysis in bibliometric methods, this study provides an accurate structural interpretation of Korean HRM research practice to facilitate the sustainable development of the studies on the global HRM trends.