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Solid waste (SW) is the result of rapid urbanization and industrialization, and is increasing day by day by the increasing number of population. This thesis paper emphasizes on the prediction of SW generation in the city of Dhaka and finding sustainable pathways for minimizing the gaps in the existing system.

In this paper, the survey of different questionnaires of the Dhaka South City Corporation (DSCC) was conducted. The data of SW generation, for few years of each month, in the city of Dhaka were collected to develop a model named Artificial Neural Network (ANN). The ANN model was used for the accurate prediction of SW generation.

At first, by using the ANN model with the one hidden layer and changing the number of neurons of the layer different models were created and tested. Finally, according to R values (training, test, all) the structure with six neurons in the hidden layer was selected as the suitable model. Finally, six gaps were found in the existing system of solid waste management (SWM) in the DSCC. These gaps are the main barrier for the better SWM.

The authors propose that the best model for prediction is 12-6-3, and its training and testing results are given as 0.9972 and 0.80380, respectively. So the resulting prediction is so much close in comparison with actual data. In this paper, the opportunities of those gaps are provided for working properly and the DSCC will find the better result in the aspect of SW problem.

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.

The purpose of the study is to dive into various binge-watching habits of Netflix users amidst the COVID-19 pandemic. Consumers find themselves amidst the COVID-19 lockdown with more free time to indulge in these viewing habits. This study investigates motivational factors, amount of media consumption and negative attributes associated with binge-watching on Netflix during the COVID-19 outbreak.

This study has employed an exploratory research design and obtained primary data via an online survey using a semistructured questionnaire. Convenience sampling has been used to choose a sample (n = 105) of Netflix binge-watchers during the COVID-19 pandemic. Both sample selection and survey administration have been done through social media messaging services owing to the COVID-19 lockdown measures.

The results indicate that most of the respondents use smartphones for binge-watching on Netflix. Moreover, they have expressed that a wide range of shows available on Netflix incline them to engage in marathon viewing. However, the respondents spend just over 70 h per month binge-watching on Netflix. Finally, the majority of respondents have flagged “one more episode” syndrome as the most challenging aspect of being marathon viewers on Netflix during the COVID-19 pandemic.

This is one of the few papers to exclusively focus on the impacts of binge-watching on Netflix during the COVID-19 pandemic. The findings will originate the value with novelty and important implications to the Netflix consumers, telecom service providers and payment gateways.

This study aims to examine the effects of the characteristics of apparel professionals on their attitude toward sustainability-related technology in the context of a developing country, Bangladesh.

A quantitative approach was used to investigate the apparel professionals’ perception of sustainability-related technology. A survey was conducted, and 204 valid responses were used in data analysis. The structural equation modeling technique was used to analyze the data.

The findings demonstrate that apparel professionals’ personal innovativeness positively impacts their knowledge of apparel technology. Knowledge of apparel technology and environmental issues in apparel manufacturing both significantly and positively impact their level of awareness of sustainability-related technology in apparel manufacturing. The findings also suggest that managers’ level of awareness of sustainability-related technology has a significant positive impact on their attitude toward sustainability-related technology.

Fishbein’s attitude theory was applied to examine how the various characteristics of apparel professionals (i.e. personal innovativeness in technology, knowledge of apparel technology, knowledge of environmental issues of apparel manufacturing) affect their awareness of and attitude toward sustainability-related technology. This study expands our understanding of the causal flow among cognitive variables of apparel professionals, including their innovativeness, knowledge, awareness and attitudes. The findings of the study can be helpful to the apparel industry to improve apparel professionals’ adoption of sustainable technology.

The purpose of this study was to understand the impact of the coronavirus disease (COVID-19) pandemic on the global textile and apparel supply chain from the perspectives of industry professionals within the two leading production countries: Bangladesh and China.

Applying the theory of dynamic capabilities, a qualitative research design was employed using interviews with a total of 33 apparel industry practitioners, 15 in Bangladesh and 18 in China.

Findings indicate that four factors primarily impacted the extent to which COVID-19 disrupted a firm's supply chain: firm size, channel diversification, sourcing method and product type. Viewed through the lens of the theory of dynamic capabilities, findings point to the need for firms to address the challenges brought about by supply chain disruptions by creating opportunities.

It is important to understand the impact of COVID-19 in real time and within the two largest textile and apparel–producing countries globally, as they have borne much of the brunt of the supply chain disruptions brought on by COVID-19. This empirical study makes contributions to the apparel supply chain literature as it provides an in-depth investigation of what textile and apparel firms in China and Bangladesh have learned from the COVID-19 experience to better prepare for future unexpected global events.

Shape memory polymers (SMPs) respond with a change in their shape against a specific stimulus by memorizing their original shape and are reformed after deformation most often by changing the temperature of the surrounding without additional mechanical efforts. In the coming years, these polymers indeed will be in limelight to manufacture textile materials which will retain their shape even after prolonged use under disturbed conditions. This study aims at defining shape memory materials and polymers as well as their technological characteristics and also highlights application in various fields of textiles.

The methodology used to explain these SMPs have been carried out starting with the discussion on their properties, their physical nature, types, viz., shape memory alloys (SMAs), shape memory ceramics, shape memory hybrid, magnetic shape memory alloy, shape memory composites, shape memory gels and SMP along with properties of each type. Other related details of these polymers, such as their advantages, structure and mechanism, shape memory functionality, thermally responsive SMPs and applications, have been detailed.

It has been observed that the SMPs are very important in the fields of wet and melt-spun fibers to offer novel and functional properties, cotton and wool fabric finishing, to produce SMP films, foams and laminated textiles, water vapor permeable and breathable SMP films, etc.

The field of SMPs is new, and very limited information is available to enable their smooth production and handling.

It is estimated that nearly 2 billion world population is now living in countries affected by extreme forms of violence, war, and criminal activities (World Bank, 2016). Apart from being affected by war and having higher poverty rates, millions are affected by climate-related disasters, pandemics which have destroyed livelihoods and lives. In 2011 and 2012 alone, more than 450 million individuals faced environmental crises (Blankespoor et al., 2010; Laframboise & Loko, 2012). Human rights advocates that every individual has the right to live with dignity and respect. International agencies are trying their best to ensure that everyone, and mainly the vulnerable communities, gets assistance in a manner that is consistent with human rights and includes the right to participation and non-discrimination. One such right is the right to education, a right which has been articulated in numerous conventions and documents and has been a part of policy maker’s debate. In emergency situations, whether man-made or a natural disaster, students face an acute crisis of accessing higher education, even when the country is limping back to normalcy. The book Higher Education in Emergencies: International Case Studies discusses the impact of the COVID-19 pandemic on teaching and learning practice in higher education in different countries and highlights the cultural transformation of policy and practice. In addition, the authors propose future directions on how to be prepared and address the challenges of emergencies and draw implications of their findings beyond the national context.

The change in Malaysian financial environment can be attributed to digitalization as banks are racing to digital maturity by 2020. Historically in Malaysia, the use of credit card was a Fintech development in the 1950s to help Malaysians minimize the burden in carrying cash all the time. The aim of financial technology in the 1990s was to encourage bank customers to use the online banking system instead of only automated teller machine. Fintech services are swiftly interrupting banks' services globally. Similarly, Malaysia's banking sector is experiencing the interruption since as more Fintech organizations are innovating new Fintech service to improve convenience for clienteles. Numerous regulatory agencies in Malaysia and the Malaysian government have set up several initiatives to encourage and provide a vigorous growth in the Malaysian Fintech and digital asset regulatory environment. Expectation Confirmation Model, Technology Acceptance Model, and Cognitive Model are viewed as the most popular frameworks that discuss the continuous intention to use information system. The combination of these three models has led to the creation of Technology Continuance Theory (TCT). TCT postulates that five prominent constructs or antecedents are depicted as key indicators in explaining the users' intentions for continuous use: (1) confirmation, (2) perceived usefulness, (3) perceived ease of use, (4) satisfaction, and (5) attitude. Furthermore, TCT adds to the argument on the consumers' continuance adoptions by assimilating satisfaction and attitude into a single construct.