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This paper aims to examine the exogenous effects of experiential attitude toward green (EAG), instrumental attitude toward green (IAG), injunctive norms on green (ING), descriptive norms about green (DNG), green perceived control (GPC) and green self-efficacy (GSE) on green purchase intention (GPI). Moreover, this paper also investigates the causal factors of green purchase behavior (GPB) considering green knowledge (GK), the salience of green behavior (SGB), environmental constraints (ECPG) and green habit (GH).

The research model was adopted to measure the green behavior of Bangladeshi consumers using an integrated behavior model (IBM). The data were randomly collected from 372 respondents and partial least squares structural equation modeling (PLS-SEM) approach was used to test the hypotheses.

PLS results imply that all independent variables (EAG; IAG; ING; DNG; GPC and GSE) impact GPI; and SGB, GH and GPI influence GPB. On the other hand, GK and ECPG have no significant effect on GPB.

There may present a gap in the outcomes of the study to signify the generalizability because the survey was conducted in some cities of Bangladesh which may not represent the country as a whole.

This study anticipates the cause-effect relationship between GPI, GPB and their determinants. The results of the study can help marketers understand green consumer behavior and design appropriate strategies and tactics for new marketing challenges.

This research investigates green purchase behavior in a developing country. It empirically confirms the validity of IBM in assessing green behavior, especially for Bangladesh, a booming economy and suitable for investment. Although ample research explored green purchase behavior, green habit and saliency have not been considered in measuring green purchase behavior.

Goal 16 of the SDGs concerns ‘Peace, Justice and Strong Institutions’. Specifically, Goal 16 states ‘Promote peaceful and inclusive societies for sustainable development, provide access to justice for all and build effective, accountable and inclusive institutions at all levels’. Among the targets of this goal (Target 16.5) is to ‘Substantially reduce corruption and bribery in all their forms’. Undoubtedly, the recognition and inclusion of corruption and bribery among other relevant governance aspects is laudable and necessary. This chapter examines and analyses the relationship between corruption and sustainable development, assesses regional performance through the indicators for achieving Target 16.5 of the Sustainable Development Goals and proposes other indicators and policy frameworks for improved performance toward substantially reducing corruption and bribery in all their forms.

The purpose of this work is to improve the air entrainment capacity of a concrete by using fine mineral admixtures such as fly ash (FA) and silica fume (SF) as cement substitute, and coal bottom ash (CBA) as fine aggregate substitute. Air entrainment capacity has been studied indirectly as a measure of heat resistance of concrete. Literature has suggested that mineral admixtures improve the air absorption in the paste component of the concrete, on the one hand, whereas they perform pore and grain size refinement, on the other, thereby reducing the air entrainment. CBA, which being porous, creates the possibility of air adsorption by the aggregate component. Therefore, the study finds out whether a double benefit of adding both of these materials will be achieved, or CBA will try to improve the deficiency in the air entrainment created by the mineral admixtures.

Air-entrained concrete (AEC) mixes were constituted in three groups. First group represents mixes with natural fine aggregates only, and second with 25% fine aggregates substituted by CBA. Progressively, the third group has 50% fine aggregates substituted with CBA. In all the three groups, cement was substituted with FA and SF @ 0%, 20% and 40%, and 0%, 5% and 10%, respectively, thereby creating four binary and four ternary mixes corresponding to each group. Compressive and flexural strength tests were conducted at 28 days on the concrete mixes pre and post high-temperature heat treatment, i.e. 100°C, 200°C and 400°C, respectively. This study also examines the microstructure characteristics of AEC after 14 days of curing via X-ray diffraction. Sorptivity test was also conducted to estimate the capillary and air-entrained voids in concrete.

It was found that a concrete mix containing 20% FA and 10% SF along with 50% CBA could give similar post-heated strength to a normal (without mineral admixtures) AEC. In AECs where only CBA is present and cement paste is not substituted, both of the pre- and post-heated strengths of concrete reduce. Also, some mixtures containing large amounts of mineral admixtures in concrete with nil CBA show a high reduction in post-heated strength though they show good pre-heated strength. Therefore, mineral admixtures and CBA complement each other in improving the post-heated strength. Air pore structure found from sorptivity test also verifies these results.

AEC is very helpful for insulation of buildings during summer season by absorbing heat waves. AEC containing FA and CBA reduces carbon footprint because of substitution of cement and it also helps to conserve natural resources by the use of CBA in place of fine aggregates.

The concept of smart city has been adopted by various cities across the world. As urbanization is enlarging at a flying pace, the number of cities that engage the smart city concept is to rise, including in Gulf Cooperation Council (GCC) countries. This chapter discusses issues related to the development of (Islamic) smart cities in the GCC countries to create sustainable well-being through ecological and environmental resilience. This issue starts from the conflict between economic and human development on the one hand and ecological and environmental resilience on the other hand as one of the fundamental challenges of sustainable development. The higher the Human Development Index (HDI),, the higher the ecological footprint. Likewise, in the GCC region, all member countries are classified as Very High Human Development; however, all of these countries have a high ecological footprint. Therefore, through a literature study, this chapter focuses on investigating the development of (Islamic) smart cities in the GCC countries in reducing ecological footprints through a circular economy innovation with the support of technology and a digitally-enabled community in creating ecological and environmental resilience. This chapter provides valuable insight into the implementation of the (Islamic) smart cities in the GCC region in taking a global strategic role in green transition through the circular economy to transform their region toward sustainable well-being and become a symbol of sustainable smart global Islamic civilization.

This paper presents a new numerical model that, unlike most existing ones, can solve the whole liquid sloshing, nonlinear, moving boundary problem with free surface undergoing small to very large deformations without imposing any linearization assumptions.

The time‐dependent, unknown, irregular physical domain is mapped onto a rectangular computational domain. The explicit form of the mapping function is unknown and is determined as part of the solution. Temporal discretization is based on one‐step implicit method. Second‐order, finite‐difference approximations are used for spatial discretizations.

The performance of the algorithm has been verified through convergence tests. Comparison between numerical and experimental results has indicated that the algorithm can accurately predict the sloshing motion of the liquid undergoing large interfacial deformations.

The ability to model liquid sloshing motion under conditions leading to large interfacial deformations utilizing the model presented in this paper improves our ability to understand the problem of sloshing motion in tuned liquid dampers (TLDs), which would eventually help in constructing more effective TLDs.

This research investigates the factors that drive affluent customers to engage in sustainable behaviours, particularly their choice to stay in green hotels. The study aims to understand how green purchase intentions (GPI) translate into green purchase behaviours (GPB), focusing on how the scarcity of green hotels may influence this relationship.

Using a quantitative research method, the study examines several key predictors – such as ecological concern, perceived behavioural control, social norms and green attitudes – and their impact on GPI and GPB. Data were gathered from 418 affluent consumers through a structured survey, capturing their views on ecological concern, perceived control, social norms, green attitudes and related purchasing intentions and behaviours. The data were then analysed using SPSS and AMOS, with additional validation through artificial neural networks (ANN).

The findings indicate that ecological concern, perceived behavioural control, social norms and green attitudes significantly affect GPI among affluent consumers, and there is a strong positive correlation between GPI and GPB. Additionally, the study highlights that the unavailability of green hotels weakens the intention–behaviour link.

One limitation of this study is its reliance on self-reported data, which may be subject to social desirability bias and may not accurately reflect actual behaviour. Additionally, the study focuses on a specific context, green hotel purchases, which may limit the generalizability of the findings to other green consumer behaviours or industries. The cross-sectional nature of the study also prevents the establishment of causality between the constructs. Furthermore, the study may not account for other potential moderating variables, such as price sensitivity, brand loyalty or individual differences in environmental knowledge, which could also influence the relationship between green purchase intention and behaviour.

The research emphasizes the importance of perceived behavioural control and the detrimental impact of limited green hotel availability on the intention–behaviour relationship. The study provides practical insights for hotel managers, recommending clear communication strategies, deeper integration of sustainability practices and collaboration with policymakers to encourage sustainable consumer behaviours.

This study stands out by focusing on affluent consumers and their green purchasing habits, contributing valuable knowledge to the field of sustainable behaviour.

Green consumption behaviour (GCB) has been advocated to mitigate the environmental consequences of traditional consumption patterns. Besides the current circumstances, Generation Z college students are a sizable consumer group who are likely to be concerned about the future. Thus, this study aims to examine the factors affecting the college students’ GCB and the moderating effect of government support to provide new evidence from college students in China.

In addition to environmental knowledge and social media influence as the variables, government support was used as a moderator to develop the extended theory of planned behaviour (TPB) model. Purposive sampling was used to obtain 328 valid responses from Chinese college students. The collected data were analysed using partial least squares structural equation modelling.

The findings indicated that subjective norms, perceived behavioural control, environmental knowledge and social media influence substantially affect students’ GCB. Notably, the moderation analysis suggested that government support greatly strengthens the relationship between subjective norms and social media influence on the GCB of Chinese college students.

The study provides several significant practical implications as the findings could be referred by stakeholders, such as government and businesses entities, in formulating policies and strategies to encourage the consumers’ GCB in mitigating ecological consequences.

The extended TPB model that integrated environmental knowledge and social media influence with the government support as the moderator contributes to the extant literature with the evidence derived from Generation Z in China.

This study aims to understand Bangladeshi young consumers’ perceptions of sustainable apparel. Specifically, through the lens of the theory of reasoned action (TRA), this study investigates the impacts of man–nature orientation (MNO) and social influences on Bangladeshi young consumers’ intention to purchase sustainable apparel.

Empirical survey-based research was conducted, and data were collected from 387 Bangladeshi college students.

The findings of the study show that MNO significantly influences Bangladeshi young consumers’ attitudes toward purchasing sustainable apparel, which, together with social influences, impacts young Bangladeshi consumers’ intention of making efforts to purchase sustainable apparel.

This study incorporates the specific cultural value – MNO with the traditional TRA model to understand young Bangladeshi consumers’ sustainable apparel purchase intention. The results of this study demonstrate the applicability of the TRA framework in understanding young consumers’ sustainable apparel consumer behavior in the context of Bangladesh, which is a developing country with a collectivistic culture. This study provides insights into how apparel brands and retailers should design their sustainability strategies in developing countries such as Bangladesh.

This study investigated the effect of green marketing mix on consumer repurchase intention in Ghana. The study focusses on the interaction effect of green knowledge on green marketing mix and consumer repurchase in Ghana.

A quantitative approach to research was employed. In all, 371 participants were chosen using the purposive sampling technique. Data analysis was conducted using the SPSS software.

The findings showed that green price, green place and green promotion had a positive significant effect on repurchase intention. However, green product insignificantly influenced repurchase intention. The findings further showed that green knowledge moderated the relationship between green price and green place, on repurchase intention. Green knowledge was not found to moderate the relationship between green product, green promotion and repurchase intention.

The study advances our knowledge on green marketing mix, green knowledge and repurchase intention within the beverage sector. It reveals the positive implication of green marketing mix on a firm’s customers using the marketing mix theory.

The purpose of this paper is to examine the factors that influence Japanese consumer purchase intention toward products bearing animal welfare (AW) certification labels.

A conceptual model was developed with the constructs of informativeness, trust, consumer perception, health consciousness, moral norms and purchase intention and tested using a sample of 513 Japanese consumers. Data were collected using an online panel with the direct effects analyzed using regression while the mediation analysis was performed using Hayes PROCESS macro.

The findings have confirmed that informativeness, consumer perception and trust contribute to consumer purchase intention of products with AW certification labels. Moral norm has a significant indirect effect on the relationship between consumer perception and intention to purchase. However, health consciousness did not demonstrate any indirect effect on the relationship between consumer perception and intention to purchase.

This study contributes significantly to our understanding of Japanese consumers' perception toward AW certification labels, especially considering the limited discussion surrounding this topic in Japan. By highlighting the importance of informativeness, it sheds light on how enhancing consumer knowledge can potentially boost the demand for AW foods. Moreover, it challenges the conventional belief in the impact of health consciousness and consumer behavioral intention, thereby expanding the discourse on the role of health consciousness in consumer choices. Through this exploration, the study not only enhances consistency in discussing consumer behavior but also strengthens the coherence and argumentation of the research findings.