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The purpose of this paper is to present an ontology‐based approach of context‐sensitive computing for the optimization of flexible manufacturing systems (FMS).

A context‐sensitive computing approach is presented, integrated on top of FMS control platform. The approach addresses how to extract manufacturing contexts at source, how to process contextual entities by developing an ontology‐based context model and how to utilize this approach for real time decision making to optimize the key performance indicators (KPIs). A framework for such an optimization support system is proposed. A practical FMS use case within SOA‐based control architecture is considered as an illustrative example and the implementation of the core functionalities to the use case is reported.

Continuous improvement of the factory can be enhanced utilizing context‐sensitive support applications, which provides an intelligent interface for knowledge acquisition and elicitation. This can be used for improved data analysis and diagnostics, real time feedback control and support for optimization.

The performance of context‐sensitive computing increases with the extraction, modeling and reasoning of as much contexts as possible. However, more computational resources and processing times are associated to this. Hence, the trade‐off should be in between the extent of context processing and the required outcome of the support applications.

This paper includes the practical implications of context‐sensitive applications development in manufacturing, especially in the dynamic operating environment of FMS.

Reported results provide a modular approach of context‐sensitive computing and a practical use case implementation to achieve context awareness in FMS. The results are seen extendable to other manufacturing domains.

Design, balancing, and sequencing are the key issues associated with assembly lines (ALs). The purpose of this paper is to identify AL design issues and to develop an integrated methodology for mixed‐model assembly line balancing (MMALB) and sequencing. Primarily, mixed‐model lines are utilized for high‐variety, low‐volume job shop or batch production. Variation of a generic product is important for the manufacturers as the demand is mostly customer driven in the present global market.

Different AL design norms, performance indexes, and AL workstation indexes have been identified in the initial stage of this work. As the paper progresses, it has focused towards an integrated approach for MMALB and sequencing addressed for small‐ and medium‐scale assembly plants. A small‐scale practical problem has been justified with this integrated methodology implemented by MATLAB.

ALs execution in the production floor require many important factors to be considered. Different line orientations, production approaches, line characteristics, performance and workstation indexes, problem definitions, balancing and product sequencing in accordance with the objective functions are needed to be taken into account by the line designer.

This paper has highlighted the important AL design characteristics and also provided an integrated approach for balancing mixed‐model assembly lines (MMALs) combined with sequencing heuristic. The findings of this paper can be helpful for the designers while designing an AL. The integrated approach for balancing and sequencing of MMALs can be used as a functional tool for assembly‐based contemporary industries.

The shipbreaking sector in Bangladesh has spurred extensive academic and policy debates on relations between shipbreaking industries, environmental degradation and the health security of their workers. As shipbreaking is an economically significant industry in Bangladesh, it needs to implement both domestic and global mechanisms for environmental conservation and the protection of the labourers’ health from environmental risks. The purpose of this paper is to primarily explore the environmental and health security issues in shipbreaking activities in Bangladesh. It also identifies the challenges in implementing the rules and regulations for protecting the health of the workers at shipbreaking yards in Bangladesh and preserving the marine environment.

This is a qualitative paper based on secondary materials, including journal articles, books and national and international reports. It critically reviews the existing literature, rules, regulations and policing on shipbreaking with a particular focus on the environment and health security of the workers.

This paper finds that the implementation of the rules and regulations in shipbreaking in Bangladesh is complicated because of weak implementation mechanisms, political and economic interests of the yard owners, lack of coordination among different agencies, lack of adequate training and awareness among the workers and workers’ poor economic condition, which contribute to the degradation of marine and local environments and trigger health hazards among the workers. Therefore, degrading the environment and undermining occupational health and safety regulations have become regular; thus, accidental death and injury to the workers are common in this sector.

This paper is an important study on the issues of workers' health and safety and environmental hazards in the shipyard. It reports how the health security of the workers in shipbreaking yards in Bangladesh is vulnerable, and environmental rules are challenged. Finally, this paper frames some policy implications to safeguard the workers’ health rights and the marine environment.

There is a strong prerequisite for organizations to analyze customer review behavior to evaluate the competitive business environment. The purpose of this study is to analyze and predict customer reviews of halal restaurants using machine learning (ML) approaches.

The authors collected customer review data from the Yelp website. The authors filtered the reviews of only halal restaurants from the original data set. Following cleaning, the filtered review texts were classified as positive, neutral or negative sentiments, and those sentiments were scored using the AFINN and VADER sentiment algorithms. Also, the current study applies four machine learning methods to classify each review toward halal restaurants into its sentiment class.

The experiment showed that most of the customer reviews toward halal restaurants were positive. The authors also discovered that all of the methods (decision tree, linear support vector machine, logistic regression and random forest classifier) can correctly classify the review text into sentiment class, but logistic regression outperforms the others in terms of accuracy.

The results facilitate halal restaurateurs in identifying customer review behavior.

Sentiment and emotions, according to appraisal theory, form the basis for all interactions, facilitating cognitive functions and supporting prospective customers in making sense of experiences. Emotion theory also describes human affective states that determine motives and actions. The study looks at how potential customers might react to a halal restaurant’s consensus on social media based on reviewers’ opinions of halal restaurants because emotions can be conveyed through reviews.

This study applies machine learning approaches to analyze and predict customer sentiment based on the review texts toward halal restaurants.

Despite Bangladesh's great strides in formulating disaster management policies following the principles of good governance, the degree to which these policies have successfully been implemented at the local level remains largely unknown. The objectives of this study were two-fold: (1) to examine the roles and effectiveness of local-level governance and disaster management institutions, and (2) to identify barriers to the implementation of national policies and Disaster-Risk-Reduction (DRR) guidelines at the local community level.

Between January 2014 and June 2015 we carried out an empirical investigation in two coastal communities in Bangladesh. We employed a qualitative research and Case Study approach, using techniques from the Participatory Rural Appraisal toolbox to collect data from local community members as well as government and NGO officials.

Our study revealed that interactive disaster governance, decentralization of disaster management, and compliance by local-level institutions with good governance principles and national policy guidelines can be extremely effective in reducing disaster-loss and damages. According to coastal community members, the local governments have generally failed to uphold good governance principles, and triangulated data confirm that the region at large suffers from rampant corruption, political favoritism, lack of transparency and accountability and minimal inclusion of local inhabitants in decision-making – all of which have severely impeded the successful implementation of national disaster-management policies.

While considerable research on good governance has been pursued, our understanding of good disaster governance and their criteria is still poor. In addition, although numerous national disaster management policy and good governance initiatives have been taken in Bangladesh, like many other developing countries, the nature and extent of their local level implementation are not well known. This study contributes to these research gaps, with identification of further research agenda in these areas.

The study focuses on good disaster governance and management issues and practices, their strengths and limitations in the context of cyclone and storm surges along coastal Bangladesh. It offers specific good disaster governance criteria for improving multi-level successful implementation. The paper deals with International Sendai Framework that called for enhancement of local level community resilience to disasters. Thus, it contributes to numerous policy and practice areas relating to good disaster governance.

Good disaster governance would benefit not only from future disaster losses but also from improved prevention and mitigation of natural hazards impact, benefiting society at large. Improvement in knowledge and practice in disaster-risk-reduction through good governance and effective management would ensure local community development and human wellbeing at the national level.

The failure of local-level government institutions to effectively implement national disaster management and resilience-building policies is largely attributable to a lack of financial and human resources, rampant corruption, a lack of accountability and transparency and the exclusion of local inhabitants from decision-making processes. Our study identified the specific manifestations of these failures in coastal communities in Bangladesh. These results underscore the vital need to address the wide gap between national DRR goals and the on-the-ground realities of policy implementation to successfully enhance the country's resilience to climate change-induced disasters.

The purpose of this paper is to examine the influences of Shariah governance (SG) mechanisms on Islamic banks' performance and Shariah compliance quality in the context of Bangladesh.

A semi-structured personal interview tactic was applied to accomplish the research objectives. The data were collected from the regulators, Shariah supervisory boards, Shariah department executives and Shariah experts from the Central Bank (Bangladesh Bank) and Islamic banks in Bangladesh.

The study discovers that the quality of the Board of Directors (BODs), Shariah Supervisory Board (SSB), management and Shariah executives have both positive and negative influences on the Shariah compliance quality, image, goodwill and performance of Islamic banks' in Bangladesh. The compositions, formations and quality of SSB and Shariah officers positively influence the Islamic banks' fatwas, Shariah decisions, compliance quality and firm performance. The study also finds that prevailing banking pressure, current political situation, the willingness of BOD and management and social limitations impact Islamic banks' performance, Shariah compliance quality, image and goodwill.

Based on our findings, if the regulators, BODs and Islamic banks can manage effective and efficient executives, it will create a positive impact on Islamic banks' performance, image, goodwill and quality compliance. As the prevailing banking pressure, current political situation and social limitations hinder the functions and employment system of the Islamic banks as well as result the Islamic banks' image, performance, Shariah implementations and compliance. Thus, the theorist needs to consider these mechanisms in extending the agency, stakeholder and resource dependence theories.

This research extends the literature concerning the influences of Islamic banks' SG mechanisms in Bangladesh. The study also argued not only the efficient and effective mechanisms but also the prevailing banking pressure, current political situation and social limitations impact on Islamic banks' performance and Shariah compliance quality.

The main purpose of this paper is to find out the perception of different respondents' groups related to the factors that influence the online learning for higher education in Bangladesh during the COVID-19 pandemic.

A survey through a structured questionnaire was conducted to gather qualitative information from the 250 respondents (university students, faculty members and administrative officers) in Bangladesh. A questionnaire has been used for collecting primary data, which have been selected using the justification method under the non-probability sampling technique.

The findings of this study indicated that majority of the respondents told that online classes could be more challenging than the traditional classroom because of the technological constraints, digital divide, insufficient data pack to access the material to attend the class, poor connectivity, lack of device, poor learning environment, technophobia, delayed response and incapability of the teacher to handle efficiently the material and communication machineries.

Due to time restriction and the COVID-19 pandemic, the study was constrained only to Dhaka region in Bangladesh.

The outcomes of the work can be supportive to the governing bodies and proprietors of the higher schooling organizations who are forecasting to adopt online education as a consistent movement in the future.

At last, based on outcomes, investigators have presented some recommendations that can be taken into consideration at policy level. The study would help universities to comply with the pressing need to impart experiential learning through online education during the COVID-19 pandemic.

The purpose of this research paper was the study of an affluent Islamic market, going through a rapid economic and social transformation, from an ethical consumption perspective. More specifically, impact of environmentalism, consumption ethics, fair trade attitude and materialism was investigated on the ethical consumption behaviour of Muslim consumers.

A research framework was put together after consulting relevant literature, Islamic scholars and Islamic marketers. The developed research framework was tested in the Islamic State of Qatar. As an outcome of an online questionnaire-based survey targeting Muslim (Qatari) consumers in a public university, 243 usable questionnaires were collected. After reliability and validity checks, AMOS SPSS 20 was used to conduct structural equation modelling analysis on the collected data.

The results showed consumption ethics, environmentalism and fair trade attitude as significant determinants of ethical consumption behaviour. There was an insignificant association between materialism and ethical consumption behaviour. The findings suggested that most Muslim consumers within this affluent market showed an interest in ethical consumption. However, an insignificant association between materialism and ethical consumption behaviour implied that even though Muslim consumers demonstrated ethical consumption behaviour, they were not anti-materialism. The outcome suggests that due to the high levels of affluence among Muslim consumers, it is possible that they may be practising ethical and materialistic consumption simultaneously.

This research should assist marketers in understanding the ethical consumption behaviour of Muslim consumers who are faced with ethical and materialistic consumption options within an affluent Islamic market.

The research should add to the body of consumer behaviour knowledge, as it provides an insight into the consumption behaviour of Muslims who are facing social and religious ideology conflicts which makes their ethical consumption behaviours more sophisticated.

There has been a burgeoning interest in exploring the impact of uncertainty factors on share returns. However, studies on the influence of global financial uncertainties on emerging market sectoral indices are scarce. Thus, there is a need to have a thorough investigation of the connection between global financial uncertainties and emerging market sectoral indices. To fill this gap, using the theoretical framework of international portfolio diversification (IPD) and utilizing data from 2008 to 2021, this study examines the spillover connection between global uncertainty indices (GUIs) and leading sectoral indices of 28 emerging markets.

The authors employ the quantile spillover-based connectedness approach and minimum connectedness portfolio approach to explore the dynamic connectedness among sectoral indices and global uncertainty indices (GUIs) as well as portfolio implication.

The study found high connectedness among all indices, especially at higher and lower quantiles. Among GUIs, the authors find that stock market volatility (VIX) and oil volatility index (OVX) are strongly interconnected with all leading emerging markets' sectoral indices. Among sectoral indices, the linkage between the financial (F-Index), information technology (IT-Index), and consumer discretionary (CD-Index) sectors shows moderate interconnectedness. In contrast, the communication services (CS-Index) sector has low interconnectedness with the system. In terms of spillover effects, the authors find EVZ, OVX, and the IT sectors to be net recipients for the entire period. The authors also explored portfolio diversification benefits by employing a minimum connectedness portfolio approach. The cumulative returns' findings show a slight decline in the portfolio's value after 2010; during 2012, the pattern remained stable; from 2014 to 2020, the portfolio performed negatively, that is, underperformance due to different events in that period, including COVID-19. The Consumer Discretionary sector is found to be significant because of having the largest weight, 51%, in the portfolio during the study period.

The study suggests that investors should invest in the communication services sector as it is the least connected. However, the connectedness increases during COVID-19, which implies that it may be difficult for investors to benefit from IPD in a crisis period. Hence, to obtain the benefits from IPD, the evidence suggests that investors need to consider Consumer Discretionary sector while considering assets for investment.

The study's uniqueness is that the authors have investigated spillover between GUIs and 28 emerging markets sectoral indices by employing a quantile spillover-based connectedness approach and minimum connectedness portfolio approach with a special focus on portfolio implication.