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The purpose of this study is to conduct a comprehensive systematic literature review using bibliometric approach to investigate the academic structure of World Trade Organization Dispute Settlement research.

The study examines the bibliographic information for 1,858 articles from Scopus and the Australian Business Deans Council-indexed journals published between 1995 and 2024 using Dimensions.ai and Google Scholar search engines. Exploratory-cum-descriptive research design with bibliometric approach is used to answer the stated literature review research questions.

The data shows a gradual decline in WTO-Dispute Settlement System (WTO-DSS) research relative to the total international business area in the three decades. Developed countries appear as key contributors to the research, with the USA and the UK standing out as the most productive and influential research countries. The study shows a significant change in the focus of this research corpus from legalized to non-legalized approaches, with a greater emphasis on transparency and environmental sustainability. The research identifies global politics and international trade law as influential subjects in the discipline.

To the best of the authors’ knowledge, the study is a first of its kind where bibliometric approach has been used to study the evolution of WTO-DSS literature. The study adds to the understanding of WTO Dispute Settlement research patterns and recommends future research options.

This study aims to assess the impact of personality traits, risk perception and perceived coronavirus disease 2019 (COVID-19) disruption on the investment behavior of individual investors in the Indian stock market.

This study adopts a survey approach. The sample comprises 315 active retail investors investing in the Indian stock exchange. Two-stage analysis technique regression and Artificial Neural Network (ANN) were used for data analysis. Study hypotheses were tested through regression and ANN was adopted to validate the regression results.

Two regression models were modeled to test the research hypotheses. Findings showed that risk perception and COVID-19 disruption have a significant positive and neuroticism has a significant negative impact on short-term investment decisions, while the role of conscientiousness in determining short-term investment decisions was not found significant. Results also showed a positive impact of neuroticism and conscientiousness and a negative impact of risk perception on long-term investment decisions. The role of COVID-19 disruption was found negative but insignificant in predicting long-term investment decisions.

This study has practical implications for many parties like retail investors, financial advisors and policymakers. This study will assist the investors to realize that they do not always take rational financial decisions. This study will suggest the financial advisors to use the knowledge of behavioral finance in making the advisors' advisory and wealth management decisions. This study will also assist the policymakers to outline behaviorally well-informed policy decisions to protect the interests of investors.

India is one of the fast-growing economies in the world. India has a vast population of active investors and determining investors' investment behavior adds novelty to this study as developed economies have remained the main focus of previous studies. The other novel feature of this study is that this study tries to assess the impact of COVID-19 disruption along with personality traits and risk perception on investment behavior. The other valuable factor of this study is the use of ANN to predict the relative importance of the exogenous variables.

The purpose of this paper is to quantify and evaluate transport sustainability from an integrated perspective. It is argued that transportation systems being interdisciplinary and complex, the integrated approach towards quantification and evaluation would present its sustainability goals’ attainment in a much better way.

The proposed integrated methodology is divided into five major steps that are sub-divided. It adopts a three-tier classification system i.e. pillar, sub-division and indicator. In total, 116 sustainable transportation indicators (STIs) were classified into 10 subdivisions corresponding to three sustainability pillars. The weighting and aggregation of STIs were done using a combination of a statistical tool called principal component analysis/factor analysis, a machine learning tool called fuzzy logic and equal weighting method. The final output that the proposed integrated methodology generates is a new composite index called the integrated sustainable transportation index (IIST).

To check the credibility of the proposed integrated methodology, it was applied to 26 states and the National Capital Territory (NCT) of Delhi, India. Based on the computed IIST, 27 study zones were ranked and mapped. The results showed that while Tamil Nadu (0.643), Telangana (0.574) and Maharashtra (0.564) were the best-performing states, Goa (0.347), Chhattisgarh (0.436) and Meghalaya (0.439) were the worst-performing states, as far as the relative transportation sustainability is concerned.

The proposed integrated methodology could be useful for transportation evaluators, planners and policymakers who can recognize, track and improve the strengths and overcome the weaknesses within a transportation system.

The novelty of this research work is that it uses a multi-stage multi-tool approach to quantify and evaluate transport sustainability that minimizes the demerits of single-stage individual tools while maximizing their merits.

This study aims to examine the performance of Indian research Institutions’ websites using webometrics by investigating their visibility, traffic ranks, number of links, time on site, Indian/Foreign users and page ranks besides focusing on the two designed hypotheses.

The Council of Scientific and Industrial Research (CSIR) directory (www.csir.res.in/external/heads/aboutcsir/lab_directory.htm) is used to identify the research institutions in India. The directory lists 40 research institutions across India. However, Alexa did not offer required information for some of the websites due to very high traffic ranks, and accordingly the list is reduced to 21 research institutions. The data collected were analysed and tabulated to reveal findings in accordance with the desired objectives.

The results reveal that global traffic ranks, number of page views, number of links and time on site of Indian research institutions are low. However, the page ranks are to some extent satisfactory. The traffic ranks of Indian research institutions differ significantly, whereas no major difference in the page ranks is found. Further, the results show that Indian research institutions’ websites have not been able to attract foreign visitors given the calibre and reputation of these institutions.

The results of this study will be useful for website administrators of research institutions in India and across the globe.

THE serious and intractable housing problem persists to plague governments and embitter citizens. Why this is so can be gleaned from a few statistics.

This paper aims to analyse the Sharīʿah premises of waqf (Islamic endowment), followed by dilating on the nature of argumentation among the classical jurists on its rules and principles. The paper critically analyses the edifice of the applied juristic analogy of different early jurists in deriving various waqf doctrines. The objective of analysing the jurisprudential framework of waqf in its classical mould is to conceptualise the methods, mechanism and nature of juristic analogies in deriving the waqf principles. This analysis is critical to understand the scope of jurisprudential flexibility in modern awqāf.

The paper is an outcome of a library-based research. It uses the classical jurisprudential treatises of waqf with an aim to analyse the Sharīʿah basis of the institution, the premises of its key principles and the applied juristic analogy to derive the same. The paper covers the classical waqf books and treatises from the four Sunni schools of jurisprudence and uses a textual analysis method.

The paper finds that in its initial phase, the conceptual framework of waqf was not unanimously agreed by all jurists, rather its Sharīʿah permissibility remained critically disputed among them for a while. Though, the opinion of those jurists who approved the Sharīʿah-validity of waqf was to prevail in the later stage, disagreement persisted with reference to its necessary features and defining criteria. It is found that in the classical waqf literature, two most disputed aspects of waqf jurisprudence constituted the requirements for completion of a waqf and its ownership status.

This study neither covers the historical contribution of waqf among the Muslim societies nor touches on the empirical aspects of modern waqf. Rather, the focus of the study is limited to analysing the classical jurisprudential discourse of waqf and distillation process of its rulings.

The objective of analysing the classical juristic discourse of waqf is to underline the premises of classical juristic analogy in determining the framework of fiqh al-awqāf (jurisprudence of waqf) in its classical permutations and to learn how to adopt a similar approach for deduction of new waqf rulings.

This paper adds original value to the body of waqf literature for analysing the classical waqf rulings distillation process along with examining the methods and mechanism of juristic analogy.

This study aims to use deep neural networks (DNNs) to learn the conduction heat transfer physics and estimate temperature distribution images in a physical domain without using any physical model or mathematical governing equation.

Two novel DNNs capable of learning the conduction heat transfer physics were defined. The first DNN (U-Net autoencoder residual network [UARN]) was designed to extract local and global features simultaneously. In the second DNN, a conditional generative adversarial network (CGAN) was used to enhance the accuracy of UARN, which is referred to as CGUARN. Then, novel loss functions, introduced based on outlier errors, were used to train the DNNs.

A UARN neural network could learn the physics of heat transfer. Within a few epochs, it reached mean and outlier errors that other DNNs could never reach after many epochs. The composite outlier-mean error as a loss function showed excellent performance in training DNNs for physical images. A UARN could excellently capture local and global features of conduction heat transfer, whereas the composite error could accurately guide DNN to extract high-level information by estimating temperature distribution images.

This study offers a unique approach to estimating physical information, moving from traditional mathematical and physical models to machine learning approaches. Developing novel DNNs and loss functions has shown promising results, opening up new avenues in heat transfer physics and potentially other fields.

Organizations today strive to differentiate themselves from others with the help of various tools. Aaker’s brand personality model is one of them. It comprises five components namely, sincerity, excitement, sophistication, competence and ruggedness. This model has been tested and supported by various scholars in the past. Similarly, it also attracted a lot of criticism especially in terms of generalizability across countries and cultures. The purpose of this paper is twofold: first, to study Aaker’s model from an Islamic perspective; second, considering the dearth of brand personality knowledge in the services sector, to develop Islamic Banks’ Brand Personality (IBBP) model.

To propose IBBP model, traits in Aaker’s model have been investigated in the light of selected Quranic verses and sayings of Prophet Muhammad (ahadith). Later on, content validation was conducted as a pilot study with experts from the relevant fields.

Findings exhibit that Quran and hadith clearly elaborate and support majority dimensions of the existing model. Importantly, three new dimensions, namely, trustworthiness, justice and Shariah compliance, were added to develop a comprehensive IBBP model. Once the dimensions of IBBP model were finalized, the underlying items were content validated from 12 experts. Most of the items were approved; some were recommended for amendments and a few items were eliminated.

This research contributes to the branding as well as bank marketing literature as it is the first Islamic banks’ brand personality framework. With the help of IBBP model, Islamic banks can create a better brand image, use advertising strategies effectively and ultimately retain existing and attract more potential customers.

This research elaborates the personality traits of Muslim consumer market. Following IBBP model, financial needs of Muslim consumer market can be catered effectively.

The IBBP model being first of its kind is significant for Islamic banking industry as it reflects dimensions that are supported by the Quran and hadith, and therefore suits Muslim customer market.

This paper aims to analyse the concept of form over substance and introduces the term substance gap to the literature. The substance gap is defined as the difference between the way a concept is expressed and its intended result. Besides, the study investigates the issue from both classical and contemporary viewpoints.

The methodology adopted in this paper is descriptive research.

This paper has depicted the substance gap in contemporary contracts and found that form is equally important as substance in Islamic finance contracts. This paper offers a fresh outlook on form and substance to highlight the importance of the issue and its significance. The findings of the study will help researchers address the issue at its roots and help them to bridge the gap between the form and substance of Islamic finance contracts.

This paper investigates the substance gap in contemporary contracts that exists between the fiqh rules and conditions of an Islamic contract, and their development and construction. Further, the gap could also be attributed to the pressure to cope with a complicated modern finance environment.