Purpose: The revenue sharing contract has been widely used in industries, and its ability to coordinate the supply chain system has been studied by numerous researchers. By reviewing the representative studies on the revenue sharing contract, this study intends to analyze the key features of this coordinating contract and identify its potential to be a more advanced coordination program than the original contract. Research design, data, and methodology: This study reviews past studies on the revenue sharing contract. The selected studies are investigated with a focus on how this contract is described to realize the supply chain coordination and the key issues that they address. Results: The literature review reveals that the revenue sharing contract requires standardized details about what and how to share. This study also finds additional issues that need to be addressed by researchers to improve this coordinating contract. Conclusions: Future researchers are advised to unify the detailed contents of the revenue sharing contract to confirm that it successfully coordinates the supply chain system. In addition, this study proposes key research issues that would enhance the role of revenue sharing contract as a supply chain coordination program.

Purpose: The purpose of this paper is to investigate key factors that affect customer dissatisfaction on public transportation system by highlighting the necessity of citizen participation and improved management of advanced technology for sustainability. Research questions applied in this study include following; i) how are factors on dissatisfaction related to types of transportation modes; ii) how do perceived proposed factors affect citizen dissatisfaction; iii) how do the improvement of public transportation service affect the level of expected satisfaction; and iv) how do expected satisfaction affect policy agreement and government trust. Research design, data and methodology: For qualitative research, civil opinions were collected and chi-square analysis was applied using keywords. For quantitative research, online survey was collected and factor and multiple regression analyses were applied. 3) Results: This study found that efficiency of operation system and safety on dissatisfaction showed significant in all three public transportation modes. This study found that perception of government policy and trust on government will increase as expected satisfaction increases. Conclusions: This study provides managerial and policy implications on society and policy makers by addressing necessity of improving strategies for public transportation system with the consideration of citizen relationship management and sustainable development.

Purpose: Food delivery services are rapidly increasing due to the recent COVID-19 outbreak. This study examines how much taste, price, brand, and reliability affect the satisfaction of delivery apps and delivery companies in food delivery services, as well as its effects on repurchase intentions. Research design, data and methodology: Empirical analysis was conducted through questionnaire survey on a coffee shop that started delivery services. Reliability and validity were analyzed, and hypotheses were verified through confirmatory factor analysis, discriminant validity analysis, and path analysis using structural equation modelling. Results: The factors affecting the satisfaction of delivery apps at coffee shops were taste and brand image. Only 'taste' had a statistically significant effect on the factor that made consumers feel satisfaction. In addition, satisfaction with delivery apps of coffee shops and delivery companies had a statistically significant effect on repurchase intention. The company should focus on improving the image of the coffee application rather than the corporate image. Conclusions: Now and in the future, F&B companies will have to recognize and respond, as well as rethink on how to deliver satisfaction of delivery apps and delivery companies to consumers in the ever-increasing delivery competition. This study provides implications through satisfaction analysis of coffee delivery apps and companies.