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This study aims to present a comprehensive investigation into users’ behavioural intentions to use e-pharmacies through the lens of the privacy calculus model. The present study also investigates the effects of perceived benefit, perceived privacy risk, timeliness and perceived app quality on e-pharmacy usage through the mediating role of trustworthiness.

The study used a deductive approach and collected data from 338 respondents using the purposive sampling technique. partial least squares structural equation modelling was applied to analyse the data.

The findings of the study indicate that perceived benefit, perceived privacy risk, timeliness and perceived app quality do not directly impact users’ behavioural intentions towards e-pharmacy adoption. Instead, it demonstrated that perceived benefit, perceived privacy risk, timeliness and perceived app quality influenced behavioural intention indirectly through the mediating role of trustworthiness

This study offers valuable insights to entrepreneurs, marketers and policymakers, enabling them to develop regulations, guidelines and policies that cultivate trust, safeguard privacy, ensure prompt services and create an enabling environment for the adoption of e-pharmacies. The present study also contributes to the existing literature by extending the privacy calculus model with the integration of timeliness and perceived app quality to explain users’ adoption behaviour towards e-pharmacy.

The study investigates the consumer’s attitude to using artificial intelligence (AI) devices in hospitality service settings considering social influence, hedonic motivation, anthropomorphism, effort expectancy, performance expectancy and emotions.

This study employed a quantitative methodology to collect data from Bangladeshi consumers who utilized AI-enabled technologies in the hospitality sector. A total of 343 data were collected using a purposive sampling method. The SmartPLS 4.0 software was used to determine the constructs' internal consistency, reliability and validity. This study also applied the partial least squares structural equation modeling (PLS-SEM) to test the research model and hypotheses.

The finding shows that consumer attitude toward AI is influenced by social influence, hedonic motivation, anthropomorphism, performance and effort expectancy and emotions. Specifically, hedonic motivation, social influence and anthropomorphism affect performance and effort expectations, affecting consumer emotion. Moreover, emotions ultimately influenced the perceptions of hotel customers' willingness to use AI devices.

This study provides a practical understanding of issues when adopting more stringent AI-enabled devices in the hospitality sector. Managers, practitioners and decision-makers will get helpful information discussed in this article.

This study investigates the perceptions of guests' attitudes toward the use of AI devices in hospitality services. This study emphasizes the cultural context of the hospitality industry in Bangladesh, but its findings may be reflected in other areas and regions.

Considering that knowledge, skills and behavior can influence sustainability efforts, this study aims to assess which personality traits influence one’s sense of feeling connected to nature and presumably make more sustainable choices. The study also explores the situational factors that might pose barriers, despite an individual's preference for a sustainable lifestyle.

In total, 54 faculty members from six Higher Education Institutions in Bangladesh were interviewed based on a semi-structured questionnaire on the barriers to a sustainable lifestyle in Dhaka city, while their personality traits were assessed using the Interpersonal Reactivity Index, the Big Five Factors and the Connectedness to Nature Scale through a survey.

The results state that Empathic Concern and Fantasy, as dimensions of empathy, have strong positive correlations with feeling connected to nature. The physical, social and psychological challenges also cause fewer people to lead a sustainable lifestyle, despite feeling highly connected to nature.

Sustainability efforts need to be context-specific due to localized challenges the people face. While educators play a key role in mainstreaming sustainability, generalizing the findings of the study to the wider population is limited. Further investigation to explore demographic and socioeconomic factors will provide key insights to the determinants of sustainable behavior.

The findings highlight that educational institutions can play a key role in the development of empathy and sustainability education, while addressing the need for good governance and policies in mainstreaming sustainability for attaining the Sustainable Development Goals Agenda 2030.

Few studies have been conducted to understand sustainable behavior in Bangladesh and identify effective methods to promote sustainability. This study provides insights to sustainable behavior in the context of a least-developed country. Additionally, it will support educational institutions to work toward sustainable development by enabling empathic skills development in curricula, leading to more concrete sustainability efforts.

Purpose: The purpose of this chapter is to identify various factors that may influence the adoption of online education by students in higher education institutions (HEIs) and contribute to the achievement of sustainable development goals (SDGs) post-COVID-19.

Need for the Study: The study addresses the need to ensure inclusive and equitable quality education, as emphasised by SDG4. It focuses on lifelong learning opportunities and aims to understand the impact of online education on students in HEIs. By identifying the factors that influence adoption, the study aims to contribute to the development of effective strategies for promoting online education.

Methodology: The study utilises a framework incorporating the use of Statistical Package for the Social Sciences (SPSS) and Analysis of Moment Structures (AMOS) software. The framework allows for the analysis of the collected data’s reliability, validity and adequacy.

Findings: The study’s findings indicate that providing students with affordable online higher education can facilitate skill enhancement and create job opportunities. These findings highlight the potential of online education in contributing to the achievement of SDGs, particularly SDG4.

Practical Implications: The practical implications of the study suggest that promoting affordable online higher Education can have a positive impact on students, enabling them to acquire new skills and access job opportunities. By embracing online education, institutions can contribute to the advancement of SDGs and ensure inclusive and equitable quality education for all.

Distribution network design involves a set of strategic decisions in supply chains because of their long-term impacts on the total logistics cost and environment. To incorporate a trade-off between financial and environmental aspects of these decisions, this paper aims to determine an optimal location, among candidate locations, of a new logistics center, its capacity, as well as optimal network flows for an existing distribution network, while concurrently minimizing the total logistics cost and gas emission. In addition, uncertainty in transportation and warehousing costs are considered.

The problem is formulated as a fuzzy multiobjective mathematical model. The effectiveness of this model is demonstrated using an industrial case study. The problem instance is a four-echelon distribution network with 22 products and a planning horizon of 20 periods. The model is solved by using the min–max and augmented ε-constraint methods with CPLEX as the solver. In addition to illustrating model’s applicability, the effect of choosing a new warehouse in the model is investigated through a scenario analysis.

For the applicability of the model, the results indicate that the augmented ε-constraint approach provides a set of Pareto solutions, which represents the ideal trade-off between the total logistics cost and gas emission. Through a case study problem instance, the augmented ε-constraint approach is recommended for similar network design problems. From a scenario analysis, when the operational cost of the new warehouse is within a specific fraction of the warehousing cost of third-party warehouses, the solution with the new warehouse outperforms that without the new warehouse with respective to financial and environmental objectives.

The proposed model is an effective decision support tool for management, who would like to assess the impact of network planning decisions on the performance of their supply chains with respect to both financial and environmental aspects under uncertainty.