Exploring the Preference of Corporations for Sponsorship Motives and the Impact of Sponsorship Motives on Sponsoring Intention in Post-Epidemic Era: Using Two Different Approaches-FPR and SEM

The aim of this study is to explore the preference of corporations for sponsorship motives and the impact of sponsorship motives on sponsoring intention in the post-epidemic era of COVID-19. Taking a Taiwanese company as a case study, a total of 60 expert groups comprising 300 respondents (the management of the sampled companies) were surveyed in the post-epidemic period, with data being collected from 60 sampled companies in February-May 2022. Data were analyzed by using two different functional approaches, including fuzzy preference relations (FPR) for the first survey (study 1) and structural equation model (SEM) for the second survey (study 2). Results reveal that corporate image is the most preferential motive of sponsorship and also demonstrates the most significant and positive influence on sponsoring intention. Meanwhile, the measured factor of performing corporate social responsibility (CSR) appears the most correlated with the construct of corporate image. Based on the results, the study can fully fill the gap between sponsorship motives and sponsoring intention in sponsorship knowledge. Additionally, the conjunction of FPR and SEM can also create methodological synergies, namely, enhancing complementary effects and achieving better holistic analysis. Findings also suggest that special attention should be paid to CSR, which plays a pivotal role in affecting the decision of corporations for sponsorship motives and sponsoring intention and, in a post-epidemic era, continuing to develop CSR actions to enhance corporate image can be the best strategy while facing internal and external challenges of implementing sustainable development (SD).

Data Mining Methods to Support C2M Product-Service Systems Design and Recommendation System Based on User Value

In recent years, with the impact of COVID-19 epidemic, Taiwan's food manufacturing industry needs digital transformation. Faced with such a dynamic enterprise environment, the construction of accurate R&D system becomes very important and urgent. By discussing the market analysis methods and the design of research and development process in literatures, this study further used a combination of natural semantic analysis technology and QFD method to build an integrated model, so as to help food processing companies understand the consumer demand and some issues in product research and development in the terminal market. Proof of Concept(POC) showed that, first, the marketing supervisor or R&D supervisor accurately evaluate the consumer needs of online users on the e-commerce platform, successfully develop products that consumers are satisfied with, and strengthen R&D decisions;second, by analyzing the characteristics of consumer demand through machine learning model, aspects of demands that consumers care the most could further help to formulate product improvement strategies with application value, which would be extremely helpful to the methodology research of incremental innovation;and third, an integrated model of market and R&D analysis would effectively assist the food industry to develop products on the spot to be successfully deliver to Amazon platform, in which this methodology could be applied in the entire food manufacturing industry. © 2022 PICMET.

The Future of Teaching Post-COVID-19: Microlearning in Product Design Education

The recent COVID-19 pandemic has placed a huge strain on higher education institutions and educators around the world, which has included the closure of campuses, removal of face-to-face instruction and a shift to remote teaching and learning. However, this situation has also created unique opportunities and conditions that can foster innovation in teaching and learning practices and content delivery. One such innovation gaining traction is Microlearning, which offers learning opportunities through small bursts of training materials that learners can comprehend in a short time, according to their preferred schedule and location. This paper explores the potential of Microlearning within design education and how it can be implemented into the Product Design & Manufacture programme at University of Nottingham Ningbo China to support teaching instruction and enhance the student learning experience post-COVID-19.

Famotidine use and quantitativesymptom tracking for COVID-19 in nonhospitalizedpatients: A case series

Objective: Treatment options for nonhospitalized patients with coronavirus disease 2019 (COVID-19) to reducemorbidity, mortality, and spread of the disease are an urgent global need. The over-the-counter histamine-2 receptorantagonist famotidine is a putative therapy for COVID-19. We quantitively assessed longitudinal changes in patient-reported outcome measures in nonhospitalized patients with COVID-19 who self-administered high-dose famotidineorally. Design: Patients were enrolled consecutively after signing written informed consent. Data on demographics, COVID-19 diagnosis, famotidine use, drug related side-effects, temperature measurements, oxygen saturations, and symptom scores were obtained using questionnaires and telephone interviews. Based on an NIH-endorsedProtocol to research Patient Experience of COVID-19, we collected longitudinal severity scores of five symptoms(cough, shortness of breath, fatigue, headaches, and anosmia) and general unwellness on a 4-point ordinal scalemodeled on performance status scoring. All data are reported at the patient level. Longitudinal combined normalizedsymptom scores were statistically compared. Results: Ten consecutive patients with COVID-19 who self-administered high-dose oral famotidine were identified.The most frequently used famotidine regimen was 80mg three times daily (n=6) for a median of 11 days (range: 5 to21 days). Famotidine was well tolerated. All patients reported marked improvements of disease-related symptomsafter starting famotidine. The combined symptom score improved significantly within 24 hours of starting famotidineand peripheral oxygen saturation (n=2), and device recorded activity (n=1) increased. Conclusions: The results of this case series suggest that high-dose oral famotidine is well tolerated and associated with improved patient reported outcomes in nonhospitalized patients with COVID-19. A blinded outpatient trial isplanned. The findings may be transferable and relevant to the treatment of patients with cancer and COVID-19.