The COVID-19 pandemic changed people’s dining habits and led to the rapid rise of food delivery platforms. Ordering food online and picking it up offline has become an essential dining habit. We applied the stimulus–organism–response model and constructed a model based on factors influencing consumers’ continuous use intention from three aspects: store product quality, delivery personnel quality, and delivery platform quality. Through snowball sampling, 321 questionnaires were distributed and collected from consumers who used food delivery platforms in Taiwan. All effective questionnaires were analyzed by structural equation modeling with SPSS 18 and Amos 21. The results showed that (1) the S-O-R theory explained consumer behavior effectively. (2) Store product quality influenced store repurchase intention. (3) Delivery personnel quality and platform quality influenced a platform’s continuous usage. (4) Product quality and delivery personnel quality were key factors that influenced store repurchase intention. (5) Platform quality was an important factor that affected platform usage. Finally, recommendations were proposed based on the research findings as a reference for relevant operators in the food delivery platform industry and future researchers.

Food loss and waste are critical challenges in Taiwan’s agri-food supply chain, deteriorating security and resource efficiency. By employing the best–worst method (BWM), a multi-criteria decision-making model was developed in this study to evaluate the severity of losses and wastes. Combining literature review results with expert survey analysis results, key loss points, and mitigation strategies were identified to enhance sustainability and efficiency in Taiwan’s agricultural food system. Among the seven stages of the agricultural food supply chain, supermarket waste (16.95%) was identified as the severest, followed by government policies (16.63%), restaurant waste (15.35%), processing loss (14.71%), production site loss (13.64%), household waste (11.93%), and logistics/storage/distribution loss (10.79%). In the subcategories of each supply chain stage, the eight severe issues were identified as “Inadequate planning and control of overall production and marketing policies” under government policies, “Adverse climate conditions” and “Imbalance in production and marketing” under production site loss, “Inaccurate market demand forecasting” and “Poor inventory management at supermarkets” under supermarket waste, and “Improper storage management of ingredients leading to spoilage” as well as “Inability to accurately forecast demand due to menu diversity” under restaurant waste. The least severe issues included “Poor production techniques” under production site loss. Other minor issues included “Inefficient use of ingredients due to poor cooking skills”, “Festive culture and traditional customs”, and “Suboptimal food labeling design”, all of which contributed to household waste. Based on these findings, we proposed recommendations to mitigate food loss and waste in Taiwan’s agricultural food supply chain from practical, policy, and academic perspectives. The results of this study serve as a reference for relevant organizations and stakeholders.

Companies need to decrease service failures through service recovery and by managing customers’ emotions, which is important. Customer databases are vital to understand needs and service innovation. Utilizing data, companies can identify pain points and innovate services, reducing customer complaints. We examined 140 customer records from an auto maintenance company’s database and found 602 failure descriptions. The main complaints include maintenance performance, service attitude, and professionalism. Employee behavior accounted for most failures. Pain points in the process were the most common, followed by support, financial, and productivity issues. Such results suggest that service innovation is needed.

In today’s dynamic business landscape, companies need to enhance problem-solving efficiency to produce products or services to meet evolving customer needs. Fostering creative talent and utilizing Group Decision Support Systems (GDSS) have become crucial in the management of human resources and marketing. While empirical studies demonstrate the positive impact of GDSS on learning, a gap exists in understanding its correlation with outcomes like enhanced creativity. Thus, qualitative research is needed to uncover the cognitive processes for favorable results with the adoption of GDSS. We explored the relationship between Project-Based Learning (PBL), GDSS deployment, and outcomes in a cross-organizational study. Results highlighted PBL activities facilitated by GDSS and the key benefits of digital learning, and managerial and academic considerations were proposed.