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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.

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.

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 catastrophic state of the COVID-19 pandemic outbreak has seized off all the operations along with the globe. It has not only distressed the socio-economic structure of the world but also mounted enormous pressure on the governmental bodies to save the lives of the people. Despite this, severe impacts of the same have been observed on the small and medium manufacturing enterprises (SMME) practices, resulting in the economic downturn. The purpose of this study is to facilitate the SMME’s with circular economy (CE) practices to overcome the negative impacts of the COVID-19 outbreak on their supply chain (SC) operations.

The presented work identified seven critical impacts as criteria of the novel COVID-19 pandemic on the Indian SMME and seeks to identify the relief measures in the CE paradigm by identifying 13 prominent enablers to CE as alternatives. Experts’ opinions have been engaged to detect CE enablers’ proficiency to overpower the pandemic impact through a questionnaire-based survey. The obtained data have been clustered and analyzed through a hybrid approach of entropy weight method and grey relational analysis to find an organized ranking of the enablers.

Current work spotlights the SMME’s losses due to SC disruptions and declined consumption patterns. The waste augmentation during the pandemic era has also been grouped in this study, primarily associating with the SC’s waste generation. The result of the performed analysis shows that the CE enabler “waste reduction and its transformation into a resource (E1)” have achieved the highest rank among all the considered enablers, governing a higher demand toward reusing waste for better handling the post COVID era state of affairs.

The presented study aimed to suppress the pandemic impact and generate anticipation of the CE concept, which might help the managers and policymakers identify its urgent need to achieve a stable and resilient SC system in a post COVID period. Presented work is peculiar, aiming to accelerate the CE adaption with green material usage in the industrial sector to suppress the present miserable condition and to achieve industrial and social sustainability for a better-foreseen future.

The purpose of this paper is to discuss the differing views of the students studying in private universities in Pakistan about quality and the gap that exists between their expectations and actual experiences from the services provided.

The research has been conducted in seven private universities of Pakistan using quantitative survey for data collection and data analysis. SPSS has been used to apply exploratory factors technique to identify satisfying and dissatisfying factors in customers of higher education through six service quality indicators (teaching, management, leadership, campus life, academic services and infrastructure).

The multivariate effects of satisfaction across universities were measured through MANOVA. Discriminant analysis has been the most critical tool used for analysis, as not only could it distinguish between satisfied and dissatisfied students across seven universities, but predicted the strength of the word of mouth and intentions to stay in the university.

A model has been proposed to understand dynamics of student satisfaction and loyalty in private universities of Pakistan. The model suggests that two leading factors, which influence students’ perception of service quality are either related to leadership and effective planning or to management, the actual process of service delivery.

The paper aims to present a numerical modeling procedure for the analysis of liquid sloshing in a flexible tank subjected to an external excitation, with taking into account the effects of fluid–structure interaction (FSI).

A numerical model based on coupling a two-phase flow solver and an elastic solid solver is developed in OpenFOAM code. The Arbitrary Lagrangian–Eulerian formulation is adopted for the two-phase Navier–Stokes equations in a moving domain. The volume of fluid (VOF) method is applied for the air–liquid interface tracking. The finite volume method is used for the spatial discretization of both the fluid and the structure dynamics equations. The FSI coupling problem is solved by an explicit coupling scheme. The model is validated for linear and nonlinear sloshing cases. Then, it is used to analyze the effects of the liquid sloshing on the dynamic response of the tank and the effects of the tank flexibility on the liquid sloshing.

The obtained results show that the flexibility of the tank walls amplifies the amplitude of the sloshing and increases the fluctuation period of the air–liquid interface. Furthermore, it is found that the bending moment acting on the tank walls may be underestimated when rigid walls assumption is adopted as usually done in sloshing tank modeling. Also, tank walls flexibility causes a phase shift in the free surface dynamic response.

A review of previous studies on liquid sloshing in flexible tanks revealed that FSI effects have not been clearly and comprehensively analyzed for large-amplitude liquid sloshing. Many physical and numerical aspects of this problem still require clarifications and enhancements. The added value of the present work and its originality lie in the investigation of large-amplitude liquid sloshing in flexible tanks by using a staggered coupling approach. This approach is carried out by an original combination of a linear solid solver with a two phase fluid solver in OpenFOAM code. In addition, FSI effects on some response quantities, identified and analyzed herein, have not been found in the previous works.