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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.

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 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.

In this study, the authors analyze the impact of geopolitics risk on Sukuk, Islamic and composite stocks, oil and gold markets and portfolio diversification implications during the COVID-19 pandemic and Russia–Ukraine conflict period.

The study used a mix of wavelet-based approaches, including continuous wavelet transformation and discrete wavelet transformation. The analysis used data from the Geopolitical Risk index (GP{R), Dow Jones Sukuk index (SUKUK), Dow Jones Islamic index (DJII), Dow Jones composite index (DJCI), one of the top crude oil benchmarks which is based on the Europe (BRENT) (oil fields in the North Sea between the Shetland Island and Norway), and Global Gold Price Index (gold) from May 31, 2012, to June 13, 2022.

The results of the study indicate that during the COVID-19 and Russia–Ukraine conflict period geopolitical risk (GPR) was in the leading position, where BRENT confirmed the lagging relationship. On the other hand, during the COVID-19 pandemic period, SUKUK, DJII and DJCI are in the leading position, where GPR confirms the lagging position.

The present study is unique in three respects. First, the authors revisit the influence of GPR on global asset markets such as Islamic stocks, Islamic bonds, conventional stocks, oil and gold. Second, the authors use the wavelet power spectrum and coherence analysis to determine the level of reliance based on time and frequency features. Third, the authors conduct an empirical study that includes recent endogenous shocks generated by health crises such as the COVID-19 epidemic, as well as shocks caused by the geopolitical danger of a war between Russia and Ukraine.

1. We analyze the impact of geopolitics risk on Sukuk, Islamic and composite stocks, oil and gold markets and portfolio diversification implications during the COVID-19 pandemic and Russia–Ukraine conflict period.

2. The results of the wavelet-based approach show that Dow Jones composite and Islamic indexes have observed the highest mean return during the study period.

3. GPR and BRENT are estimated to have the highest amount of risk throughout the observation period.

4. Dow Jones Sukuk, Islamic and composite stock show similar trend of volatility during the COVID-19 pandemic period and comparatively gold observes lower variance during the COVID-19 pandemic and Russia–Ukraine conflict.

We analyze the impact of geopolitics risk on Sukuk, Islamic and composite stocks, oil and gold markets and portfolio diversification implications during the COVID-19 pandemic and Russia–Ukraine conflict period.

The results of the wavelet-based approach show that Dow Jones composite and Islamic indexes have observed the highest mean return during the study period.

GPR and BRENT are estimated to have the highest amount of risk throughout the observation period.

Dow Jones Sukuk, Islamic and composite stock show similar trend of volatility during the COVID-19 pandemic period and comparatively gold observes lower variance during the COVID-19 pandemic and Russia–Ukraine conflict.

The purpose of this paper is to evaluate the role of judicial activism as a golden mean approach of judiciary in protecting and promoting human rights from illegitimate interferences of government. With this aim, several case studies have been done on verdicts of higher judiciary in Bangladesh.

This paper is an exploratory case study focused on Bangladesh. The paper is qualitative in nature and based on secondary sources of published facts like books, journal articles and Dhaka Law Reports. Information also gathered through Internet browsing.

Though judiciary is very effective to protect and promote human rights and rule of law in a country through judicial activism or public interest litigation, the role of non-governmental organizations (NGOs) are crucial in Bangladesh. Delay and disposal of cases is one of the great impediments in the process of ensuring human rights in Bangladesh. Besides, negligence in implement the verdict of judiciary and interferences of executive over judiciary is another finding of this paper. Apart from these shortcomings, judicial activism is a very important potential instrument of judiciary to protect and promote human rights and the rule of law in Bangladesh.

The major limitation of this paper is it is based on secondary sources of information. It would have more rich if periodical data can be used for comparing theory and practice.

This paper would be helpful for making a policy for overcoming limitations of judicial activism in Bangladesh to protect and promote human rights.

Social awareness can be build-up through NGOs and readers by disseminating and penetrating information of this paper’s findings and recommendations.

This paper would an unique and add new knowledge in the literature of public interest litigation and Human Rights Law in the context of Bangladesh.

A successful education system is a great asset for any society. However, what factors make an academic institution successful and how these factors interact with each other are not clear in literature. Therefore, the purpose of this paper is to develop and validate a model that explains success of private universities which entails clarification on theoretical understanding and explains the relationships among relevant variables.

Variables from information systems success models and marketing theories have been adapted in the context of private universities to theorize a conceptual model. In order to validate the model, this study employed quantitative approach. Survey data, collected from 326 respondents, were analysed using partial least squares algorithm.

The results suggest that: “curriculum quality”, “teaching competence”, “service facility”, and “service delivery” provided by a private university are positively related to “perceived value (PV)”, while students’ perceived satisfaction (SPS) is dependent on “service facility”; PV and SPS drive to students’ “intention for continued education (ICE)”, and ICE eventually improves quality of students’ lives. Additionally, PV and SPS are interrelated. The mediating roles of PV and SPS are also identified.

Empirical data analyses confirm that improving quality of life through continued education represents an insightful theoretical lens for investigating success in higher education. To become successful in education business, maintaining both academic quality and service quality are important for a private university because they lead to student satisfaction and the overall PV of education.

This study is the first initiative that develops and validates a success model of private universities. The findings provide some guidelines for top managers in higher education to maximize their abilities to understand customers’ expectations in both strategic and operational settings.

This study aims to examine the moderating effect of intellectual capital (IC) in the relationship between board characteristics and firm performance of non-financial firms listed on the Pakistan Stock Exchange (PSX) from 2010 to 2019.

The modified value-added intellectual capital (MVAIC) was used to assess the efficiency of sample firms’ IC, which is a modified version of Pulic’s (2000) model VAIC that includes an additional component, rational capital efficiency. Board size, independence, board meetings, chief executive officier duality and board gender diversity are all measures of board characteristics. Firm performance is measured through return on assets, return on equity and earnings per share. The Hausman test was used to select the best model for the study.

Based on the regression results, the board’s gender diversity and duality have a significant inverse relationship with profitability. In terms of the impact of board characteristics on IC, it is discovered that board independence and diversity are significantly inversely related to IC. Furthermore, IC is significantly related to profitability by all means. In terms of the moderating effect of IC, the findings show that IC significantly moderates the negative relationship between duality and profitability, as well as board gender diversity and profitability.

This study made some policy recommendations to policymakers. Duality should be avoided in PSX firms because it is significantly inversely related to profitability and IC. Second, female board participation should be subjective. Third, because the findings indicate that Pakistani firms lack true board independence, the Securities and Exchange Commission of Pakistan should take additional steps to ensure that the board is truly independent.

To the best of the authors’ knowledge, this is the first study of its kind to study the moderating effect of IC between corporate governance and firm performance.