The importance of managing dissatisfied consumers has increased because of severe competition from the introduction of new types of stores, such as online shopping. Focuses on consumers who complain directly to the offending firms because their dissatisfaction provides a firm with the opportunity to improve its customer service. In contrast to studies that examine determinants of complaint behavior to resolve customer dissatisfaction, examines how attitudinal and perceptual variables, influenced by generalized personal factors, affect complaint intention. Performs a path analysis to examine the links among generalized personal antecedents, attitudinal and perceptual mediators, and customer’s complaint intentions. The empirical results confirm that attitudinal and perceptual mediators positively influence complaint intention. Furthermore, three generalized personal antecedents affect attitudinal and perceptual mediators. The empirical results indicate that attitude toward complaining plays a central role in mediating between three generalized personal antecedents and complaint intention. Finally, provides managerial implications that suggest ways firms can manage customers’ complaints to enhance customer satisfaction.

We explored the influencing factors of the usage intention of a metaverse education application platform that directly influence the optimization of its service function, improve the usage intention, and realize the promotion and application of metaverse technology in the education domain. Based on the characteristics of the metaverse education application platform, we integrated the PPM (push–pull–mooring) model and the TAM (technology acceptance model) to construct the model of influencing factors of usage intention. Ultimately, 275 valid questionnaires were collected through expert demonstration, pre-investigation, formal investigation, and other processes. In addition, our paper used the SEM (structural equation model) and fsQCA (fuzzy-set qualitative comparative analysis) to analyze the influencing factors of user willingness and their configuration paths. The study found that personalized learning, contextualized teaching, perceived usefulness, perceived ease of use, social needs, and social impact play significant positive roles in the willingness to use the metaverse education platform. Meanwhile, the obtained findings show that the experience-led community-driven mode, personality-led community-driven mode, and social-led utility-driven mode serve as potential guidelines for usage intention enhancement.

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Recently according to increase of enlarged scale ports in conformity with increase in over size vessels and container handling service, pollutants generated from ports are increasing. In advanced countries, reduction in carbon dioxide emission assigned to them has been implemented according to the Climate Change Convention and Kyoto Protocol from 2008 to 2012 in order to lessen carbon dioxide emission. Henceforth increase in discussion on the measure of constructing Green Port and low-carbon port is expected in our nation's field of port as well, it is considered that the effort in reduction with regard to undesirable output which causes environmental problem of analysis target during measuring effectiveness. Therefore, in this study, effectiveness was estimated through directional technology distance function considering undesirable output differently from effectiveness analysis of existing container terminal, and then performed comparative analysis with the result analyzed with BCC output-oriented model. As the result of analysis, in 2007 DMU3 and DMU5,

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