ABSTRACT
The epidemic of COVID-19, the disease triggered by the SARS-CoV-2 virus, has had major economic, political and social effects worldwide, leading to concern about the disease, especially in the franchise service industry. The purpose of this paper is to review literature on three factors: entrepreneurial orientation, market orientation, franchisor support and figure out the relationship of these three factors on franchisee performance. Based on the literature, entrepreneurial orientation, market orientation, franchisor resource has positive and significant impact to franchisee performance. Further, franchisor support holds very important role on moderating relationship between entrepreneurial orientation, market orientation and franchisee performance in this pandemic Covid-19. This paper highlight the concepts to clarify the distinctions between them and suggests the propositions between franchisee entrepreneurial orientation, market orientation, and franchisor supports to franchisee performance. Study on franchisee performance is necessary as franchisees are also employees, customers, stakeholders of the franchisors, contribute to the success of franchise system. © 2021 Informa UK Limited, trading as Taylor & Francis Group.
ABSTRACT
Evaluation of E-Learning resources plays a significant role in the context of pedagogic systems. Resource evaluation is important in both conventional ‘talk-and-chalk’ teaching and in blended learning. In on-line (e-learning) teaching [an enforced feature of pedagogic systems in tertiary education during the Covid-19 pandemic] the effective evaluation of teaching resources has obtained importance given the lack of ‘face-to-face’ student-teached interaction. Moreover, the enforced use of e-learning has demonstrated the effectiveness of on-line pedagogic systems, which has been argued in blended learning pedagogic systems. Additionally, in e-learning, the lack of ‘face-to-face’ meetings [between teaching staff and students and in staff meetings] makes feedback (positive and negative) important for all actors in the pedagogic system. In this paper we present a novel approach to enable effective evaluation of teaching resources, which provides effective group decision-support designed to evaluate e-learning resources, enhancing students’ satisfaction. The proposed approach employs Picture Fuzzy Sets to quantify survey responses from actors, including: agree, disagree, neutral, and refuse to answer. In our approach, the system can manage the evaluation of e-learning resources based on both explicit and tacit knowledge using a picture fuzzy rule-based approach in which linguistic semantic terms are used to express rules and preferences. The proposed system has been tested using e-learning case studies with the goal of enhancing the learning experience and increasing students' satisfaction. Experimental results demonstrate that our proposed approach achieves a significant improvement in performance in the evaluation of e-learning resources. Copyright © International Journal of Mathematical, Engineering and Management Sciences.
ABSTRACT
Evaluation of E-Learning resources plays a significant role in the context of pedagogic systems. Resource evaluation is important in both conventional 'talk-and-chalk' teaching and in blended learning. In on-line (e-learning) teaching [an enforced feature of pedagogic systems in tertiary education during the Covid-19 pandemic] the effective evaluation of teaching resources has obtained importance given the lack of 'face-to-face' student-teached interaction. Moreover, the enforced use of e-learning has demonstrated the effectiveness of on-line pedagogic systems, which has been argued in blended learning pedagogic systems. Additionally, in e-learning, the lack of 'face-to-face' meetings [between teaching staff and students and in staff meetings] makes feedback (positive and negative) important for all actors in the pedagogic system. In this paper we present a novel approach to enable effective evaluation of teaching resources, which provides effective group decision-support designed to evaluate e-learning resources, enhancing students' satisfaction. The proposed approach employs Picture Fuzzy Sets to quantify survey responses from actors, including: agree, disagree, neutral, and refuse to answer. In our approach, the system can manage the evaluation of e-learning resources based on both explicit and tacit knowledge using a picture fuzzy rule-based approach in which linguistic semantic terms are used to express rules and preferences. The proposed system has been tested using e-learning case studies with the goal of enhancing the learning experience and increasing students' satisfaction. Experimental results demonstrate that our proposed approach achieves a significant improvement in performance in the evaluation of e-learning resources.
ABSTRACT
In the context of the Covid-19 pandemic and the first lockdown in spring 2020, a self-administered online questionnaire on subjective well-being and life satisfaction (SWLS) was completed by college students who returned to school or stayed home to attend school when their classes reopened. The survey was conducted in France and Vietnam, two countries with different cultures and affected differently by the pandemic. The data collected from the students (416 in France and 274 in Vietnam) confirmed the results of studies conducted on the well-being of students before the pandemic and revealed significant differences, related to the variables age, gender, school, school level, family context and parents' professional activity.