As the Covid-19 pandemic continues to spread over a year after the original outbreak, it is critical to have an open mind about the innovations higher education institutions (HEIs) have implemented to keep teaching going, as they may help HEIs if appropriately implemented. The pandemic has caused many activities, including traditional educational activities, to be shut down. This has necessitated a vast wave of response migration for HEIs with Online Learning (OL) as the educational platform. This paper conducts desk research to review the challenges and opportunities of OL during Covid-19 pandemic. It was apparent that OL is different from emergency remote teaching, and as a result, OL is more justifiable. The unique aspects of the crisis response migration strategies of HEIs, teachers, and learners were discussed. Our findings offer insights for HEIs and especially educational managers, teachers, and learners to be aware of such challenges and opportunities to deal with them.
This research aims to investigate the effects of emotional intelligence, word-of-mouth, trust and perceived value as important psychological factors on customers’ behavior through social network online purchase. A model has been constructed and based on the proposed relationships of emotional intelligence, word-of-mouth, trust, perceived value, purchase intention and purchase decision. A survey was carried out and collected 430 responses from people who used to buy cosmetics through social networks. By using quantitative approach and verification techniques, the findings indicate that consumers’ buying behavior is predicted by word-of-mouth, trust and perceived value. Besides, word-of-mouth is also regarded as a factor that directly affects trust. In addition, there is a significant positive relationship between perceived value and trust. A positive relationship has also been found between customers’ purchase intention and their buying decision. However, there is no significant signal about the relationship between emotional intelligence and trust. The study also brings some strategic recommendations to cosmetic sellers and suppliers about how to attract more customers, and lead them to be loyal among a multitude of choices in social network online purchase.
Abstract-Emotional intelligence has become an emerging topic in the leadership field. To follow that trend, this research was conducted to investigate the application of leaders' emotional intelligence in formulating appropriate leadership styles for enhancing employees' job engagement. Quantitative approach was employed with structured questionnaire distributed to 400 white-collar employees working in offices of Hoa Binh Corporation and its subsidiaries located in Ho Chi Minh City. The empirical results of this research indicated that five leaders' emotional intelligent competencies, namely self-motivation, self-esteem, self-management, emotional literacy, and interpersonal relation had statistically positive effects on the employee engagement; whereas, the leader's competency regarding to change resilience had statistically negative effect on the employee engagement. These variables could explain for 79% of the variation in the employee engagement at the work place. This result implied a strong influence of the emotional intelligent leadership in retaining and developing the workforce engagement.
This paper highlights key points and practicalities regarding using online interviews using a recently completed undergraduate thesis as a case study. This case entitles “The consumers’ perceptions towards green products in food and beverages sector in Ho Chi Minh City.” Online interviewing using Google Meet has become one of the most common data collection methods in Vietnam as it is reasonably easy to use, provides almost all the required functionalities for online research, and is free of charge. Inspired by the experiences and practices from the case study, this paper is intended for use in online research methods and provides implications for application in online assessment.
The objective of this paper is to discover the evidence supporting or refuting the cost-effectiveness of Assisted Living Technology (ALT) in aging in place of older adults through a comprehensive presentation of cost studies and economic analyses. The search was conducted on two main databases for health economic valuation: The NHS economic valuation database (NHS EED) and the health economic valuation database (HEED). The study was evaluated using the protocol required by Campbell and Cochrane Economic Methods. As an aging society evolves, the need for long-term care services increases. The prevalence of chronic diseases increases in the older population; seniors may have to abandon their bative social life and need long-term care in a nursing home. Aging is a global phenomenon. Asia is aging rapidly. By 2030, the number of Asians aged 65 and over will increase from the current 300 million to 565 million. By 2050, this number will increase to 900 million, about one-sixth of the number of people in Asia. Aging trends are regional, but demographic changes are diverse. Countries such as Japan, South Korea, Singapore, and China, whose populations are steadily aging, are in extreme situations. Research has shown that ALT can reduce costs in some cases, but with little precise data and low quality. Later developments, e.g., capacity methods, should be used for further research. Qualitative research is needed to assess the cost-effectiveness of ALT before making reliable conclusions about the application.
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