The current study empirically examines an integrative model linking multiple types of touch points in tourism experience, hedonic well-being, eudaimonic well-being, revisit intention, and online word of mouth, in response to the calls to revitalize tourism and achieve sustainable development. The research relied on “Nong Jia Le,” an important representative survey on leisure tourism. The questionnaire was developed based on prior studies, then translated into Chinese and set up in an online survey system. In total, 316 respondents were ultimately gathered for analysis. Principal component analysis was used to test the reliability and validity of each construct, and a structural equation model was used to test the hypotheses. The findings show that tourism experiences derived from partner-owned, customer-owned, and social touch points positively affect perceived hedonic and eudaimonic well-being, while experiences derived from destination-owned touch points only positively influence hedonic well-being. In addition, both hedonic and eudaimonic well-being significantly affect consumers’ intention to revisit the destination and to spread word of mouth online. This study fills in a gap in leisure tourism literature by proposing the merits of touch points in tourism experience and placing importance on conceptions of eudaimonia. More importantly, the current research offers important social and economic considerations that can contribute to the sustainable growth of leisure tourism.

The purpose of this study was to examine how electronic word-of-mouth (eWOM) communication of Facebook is influenced by social exchanges, social capital, and service quality dimensions. The online survey was conducted with a pre-tested and self-administered questionnaire, and a structural equation model was used to examine the hypothetical relationships. The results of the structural model provide insights into four key antecedents for the effective use of eWOM communication from a social capital and exchange perspective. In particular, reciprocity, tie strength, trust, and interaction service quality significantly and positively influence eWOM communication, demonstrating that social media users engage in online communication when they have a positive perception toward these psychological dimensions. The comprehensive study offers an extended theoretical perspective on eWOM literature for emerging market context and clearly examines the influencing factors of eWOM that remain to be addressed in this context. Since eWOM is widely used in social media to promote viral marketing through its powerful connection and interpersonal relationship-building capabilities, the results of the study have important implications for the practitioners with respect to sustainable advertising and business strategies.

Purpose—The aim of the study was to visualize the impacts of the service quality dimensions under the SERVQUAL model regarding the relationship quality and behavioral intentions of consumers in the retail banking services of Bangladesh. Design/Methodology/Approach—In this study, a structured questionnaire was used to conduct a survey, and 234 valid data samples were collected for the quantitative analysis. The measurement and structural models were used to explore the hypothesized connections among variables using the structural equation modeling (SEM) approach. Findings—The empirical results of this research indicated that SERVQUAL dimensions (tangibles, reliability, empathy, assurance, and responsiveness) seemed to be highly valued for measuring service quality. The service quality influences the quality of relationships and behavioral intentions. The relationship quality has a significantly positive impact on behavioral intentions and a mediation effect on service quality and behavioral intentions. Originality/Value—The aim of this research was to develop an advanced connection between relationship structural equation models and managerial implications as a reference and an application for the banking industry.

The volume of the environmental risk disclosure in the annual reports of firms in the pharmaceutical and chemical, tannery, telecommunications, and paper and printing industries listed on the Dhaka Stock Exchange (DSE) in Bangladesh was analyzed in this paper. The research used a content analysis of the annual reports of 43 companies that represented four DSE sectors. To quantify the level of environmental risk disclosure reporting practiced by corporations in their annual reports, the authors established the ERDIPCI for the pharmaceutical and chemical industry, the ERDITI for the tannery industry, the ERDITeI for the telecommunications industry, and the ERDIPPI for the paper and printing industry. Similarly, the machine learning clustering algorithm, k-means clustering, is used to cluster the companies based on the completion of different environmental indices. It is observed that from four sectors, the highest number of companies from the pharmaceutical and chemical industry disclosed environmental risk disclosures, and the lowest number of companies was from the tannery industry, followed by the telecommunications and the paper and printing industries. The enterprises differ significantly in their environmental risk disclosures, and the overall scenarios of the environmental reporting practices by companies in Bangladesh are quite poor. It also shows that among the 43 companies, a limited number of enterprises are placed first. The majority of the businesses are in the midst of a cluster that reflects the increasing order of indices fulfillment. This paper provided a few specific proposals to the relevant authorities in order to establish a regularity framework in which all the firms listed on the DSE in Bangladesh will be expected to address environmental risk disclosures and conservation actions in their annual reports towards adaptation to climate change and achieving environmental sustainability.

In the context of competition between two ports in Cournot, we studied optimal decision-making processes for the government and the port in four different situations before and after the integration of the port based on the subsidy and carbon tax mechanism. We analyzed the impacts of the carbon tax rate and emission reduction subsidy rate on social welfare and determined the optimal carbon tax rate, the optimal emission reduction subsidy rate, the optimal carbon emission level, and the optimal social welfare level in different situations. We also compared the optimal social welfare level and the optimal carbon emission level of the four situations before and after the integration. This research can be used as a policy reference for the government for the formation of environmental policies based on the goal of maximizing social welfare, and it could also be used for the port’s internal decision-making when the environmental policy has been set.