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The complex network structure causes several disruptions in the supply chain that make risk management essential for supply chain management including halal supply chain (HSM). During risk management, several challenges are associated with the risk assessment phase, such as incomplete and uncertain information about the system. To cater this, the authors propose a risk assessment framework that addresses the issues of uncertainty using neutrosophic theory and demonstrated the applicability of the proposed framework through the case of halal supply chain management (HSCM).

The proposed framework is using the capabilities of the neutrosophic number which can handle uncertain, vague and incomplete information. Initially, the risk related to the HSC is identified through a literature review and expert’s input. Further, the probability and impact of each HSM-related risk are assessed using experts’ input through linguistic terms. These linguistic values are transformed into single-value trapezoidal neutrosophic numbers (SVTNNs). Finally, the severity of each HSM-related risk is determined through the multiplication of the probability and impact of each risk and prioritised the risks based on their severity.

A comprehensive risk assessment framework is developed that could be used under uncertainty. Initially, 16 risks are identified related to the HSM. Further, the identified risks are prioritised using the severity of the risks. The high-priority risk is “raw material status”, “raw material wholesomeness” and “origin of raw material” while “information integrity” and “people integrity” are low-priority risks.

HSM risk can be effectively assessed through the proposed framework. The proposed framework applied neutrosophic numbers to represent real-life situations, and it could be used for other supply chains as well.

The proposed method is effectively addressing the issue of linguistic subjectivity, inconsistent information and uncertainty in the expert’s opinion. A case study of the HSC is adopted to illustrate the efficiency and applicability of the proposed risk framework.

Persons with disabilities (PwD) are generally less likely to be employed than the general population. The paper aims to investigate whether access to assistive technologies (AT) impacts labour force participation in the disabled population.

The study utilises the nationally representative survey on disability in India conducted in 2018 through multi-stage sampling by the Ministry of Statistics and Programme Implementation (MOSPI), Government of India. The instrumental variable (IV) approach has been employed to infer causality between AT and labour market participation.

The study found that the labour force participation rate (LFPR) in India amongst the disabled population was 29% in the age group of 15–65 years in 2017–2018, as compared to 52% in the general population. Around two-thirds of the PwD respondents who were advised to acquire aid appliances acquired them, implying limited access to AT. The probability of LFPR in disabled population increases by 26.6% with access to AT particularly in urban areas.

Persistent issues such as lack of adequate amenities, poor literacy and a lack of vocational skills need to be addressed to improve labour market outcomes for the disabled population in rural areas.

Despite its role in promoting distributive justice and inclusive development, research on equity gaps in access to AT and its impact on labour market outcomes is scant. This is the first paper that provides empirical evidence on the impact of access to AT on LFPR in the context of low- and middle-income countries.

Literature on product innovation (PI) has witnessed tremendous growth over the past 60 years. Yet, there has been a dearth of a comprehensive review of the extant PI research maintaining the breadth and depth of the topic. To seal this gap, this paper aims to explore the intellectual foundations and emergent trends in 2,588 research papers on PI from 1962 to 2022.

The paper adopts a bibliometric analysis approach via visualization maps of prolific contributions, co-citation, co-occurrence and thematic networks.

Emerging streams, frontiers and hotspots in PI research are revealed and a knowledge graph is developed. The review provides a broad spectrum of opportunities that enrich imminent research to better inform business decisions.

The review addresses 20 research questions associated with barely examined areas in PI research that require further analysis in imminent research.

To the best of the authors' knowledge, this is the first review that comprehensively synthesizes the intersected knowledge base of PI research using bibliometric analysis of a vast number of documents within a long time span.

The purpose of this study is to examine donors’ or waqifs’ desire for waqf-based qardhul hassan financing in Malaysia using a maqasid method, where a pragmatic approach is used.

Using judgemental sampling, a total of 275 waqifs participated in this work to identify their preference in donating their money to the facility should it is introduced. Using the developed waqf-based qardhul hassan scale (WAQASCALE), this study examined the preference accordingly. Data were analysed using IBM SPSS 27.

The results obtained were as follows: the first factor considered by the waqifs in donating money was perceived household well-being, followed by perceived recipients’ welfare, perceived mankind benevolence and perceived Muslims’ community security.

The authors developed construct items that had generalisability issues as they were at the infancy stage of development among social finance scientists along with the narrow geographical constraint where the actual survey was conducted.

The results were useful in giving new guidance to state governments and Islamic banks (IBs) in Malaysia to explore further this sort of facility for the improved well-being of those affected by COVID-19. Besides, sustainable development goals (SDGs), such as poverty, hunger and responsible consumption, among others can be addressed effectively for the mutual well-being of those affected by the health crisis in an effort of combating financial hardships in the meeting of basic needs, at least. The partnership between the state government and IBs could lead to the offered qardhul hassan financing-sourced funding from waqf for reduced financial hardships by needy and poor folks.

This study introduced a new WAQASCALE in the context of qardhul hassan financing in Malaysia.

The aim of this study is to examine the effects of innovativeness (INN), proactiveness, (PRC) and risk-taking (RIT) on the export performance of apparel small and medium-sized enterprises (SMEs) and the role of differentiation and low-cost leadership (LCL) strategies as mediating effects between entrepreneurial orientation (EO) dimensions and the performance of exporting firms. INN, RIT and PRC are considered EO dimensions.

A cross-sectional survey was carried out by providing a questionnaire to the owners, directors and senior managers of the apparel SMEs – the primary data of 550 treated by structural equation modeling (SEM) technique for final data analysis.

The study has revealed the positive dimensional effect of EO on export performance. For the mediation effects of differentiation and LCL, differentiation strategy (DS) positively mediates between INN, PRC and export performance. However, no mediation has been found between RIT and export performance. On the other hand, LCL has found positive effects between INN, RIT and export performance. However, the mediation effect was absent between PRC and export performance.

Limitations/implications- This study has been conducted on only Muslim owners, senior export managers and directors of apparel SMEs in Bangladesh. It has examined the two main competitive strategies as a mediator between EO dimensions and export performance. The findings of this study are based on one country data analysis.

EO, differentiation and low-cost leadership (LCL) strategy are resources and capabilities of an organization to create a competitive advantage to enhance performance. The factors of this research are helpful for SME practitioners.

The direct and indirect effects (differentiation and LCL strategy) of EO dimensions on export performance in an emerging country, i.e. the South-Asia region, is a pioneer study. Therefore, current research has theoretical and managerial implications for the international business and strategic management literature.

This study aims to determine the role of intellectual capital (IC) on financial performance (FP), the mediating effect of high-performance work practices (HPWPs) and the moderating role of big data analytics on the banking sector operating in Pakistan.

This study collected quantitative and cross-sectional data using structured questionnaire forms distributed to selected targeted respondents using a convenient sampling technique. The 518 useable questionnaires were analysed using the SmartPLS software through a structural equation modelling technique to test the proposed research hypotheses.

The study results revealed that IC has shown an impact on FP. The role of HPWP significantly mediates between IC and FP, while the moderating role of big data analytics remains insignificant.

This study highlights IC's role in enhancing FP in the Pakistani banking sector. It will bring a higher quality IC in the banking sector, and they will be better positioned to serve the community. Policymakers need to invest in IC and HPWP and utilise BDA, which will boost FP and uplift the quality of the banking sector.

This study extends the concept of IC and adds the theoretical role of HPWPs and big data analytics in the literature on IC, along with the contextual application. The study also develops a unique role of the integrated IC model theory with a relationship to the banking sector of Pakistan.

The purpose of this paper is to look into millennials’ acceptance of Qard al-hasan using the Islamic theory of consumer behaviour (iTCB) in Malaysia.

For this study, convenience sampling was used and 203 usable questionnaires were received from the respondents who are millennials and university students. The questionnaire link was distributed via social media platforms to the millennials.

The findings of this study reveal that there exists a strong and positive relationship between the role of iman and Maqasid consumer index in determining the millennial acceptance of Qard al-hasan. On the contrary, Islamic altruism does not turn out to be the factor of Qard al-hasan acceptance. Resultantly, these results suggest that millennials in Malaysia accept Qard al-hasan and based on those educational institutions may consider offering zero-interest benevolent loans to alleviate the financial burden of unprivileged students.

Although this study provides positive results, a minimum of two research constraints may direct future efforts in this area. This study initially focuses on a specific ecosystem of Islamic financial products in Malaysia, with a particular emphasis on Qard al-hasan. As a result, subsequent research ought to strive to encompass a larger perspective on Qard al-hasan. Secondly, this research uses a theory that is still in the applicability phase, which has led to some productive discussions for further improvements.

To the best of the authors’ knowledge, this work is one of the few studies conducted on an empirical basis using the iTCB in the milieu of Qard al-hasan in Malaysia.

Federation analytics approaches are a present area of study that has already progressed beyond the analysis of metrics and counts. It is possible to acquire aggregated information about on-device data by training machine learning models using federated learning techniques without any of the raw data ever having to leave the devices in the issue. Web browser forensics research has been focused on individual Web browsers or architectural analysis of specific log files rather than on broad topics. This paper aims to propose major tools used for Web browser analysis.

Each kind of Web browser has its own unique set of features. This allows the user to choose their preferred browsers or to check out many browsers at once. If a forensic examiner has access to just one Web browser's log files, he/she makes it difficult to determine which sites a person has visited. The agent must thus be capable of analyzing all currently available Web browsers on a single workstation and doing an integrated study of various Web browsers.

Federated learning has emerged as a training paradigm in such settings. Web browser forensics research in general has focused on certain browsers or the computational modeling of specific log files. Internet users engage in a wide range of activities using an internet browser, such as searching for information and sending e-mails.

It is also essential that the investigator have access to user activity when conducting an inquiry. This data, which may be used to assess information retrieval activities, is very critical. In this paper, the authors purposed a major tool used for Web browser analysis. This study's proposed algorithm is capable of protecting data privacy effectively in real-world experiments.

This paper aims to examine the effect of dividend policy on firm value for financial sector in an emerging country. Furthermore, it examines the moderating effect of IFRS adoption and the abolishment of mandatory dividend payment policy with considering the Lintner model of dividend smoothing.

Data were collected from 111 firms listed on Borsa Istanbul in the financial sector in Turkey over 1995–2017. Using an explanatory research design, this study performs various multivariate regression techniques to investigate the proposed relationships.

The outcomes demonstrate a positive and significant association between dividend policy and firm value. In addition, the relationship has strengthened after IFRS adoption, indicating that accounting information such as dividend-based ratios prepared under IFRS is more value relevant. The empirical outcomes supported the Lintner model, which is persistent with the signalling hypothesis. Moreover, the findings state that the abolishment of mandatory dividend payment in 2009 strengthened the association between dividend policy and firm value for financial institutions in Turkey.

These results provide an insight to the investors and managers that the effect of IFRS adoption and other policy changes could be greater on the association between dividend policy and firm value. The study empirically tests Lintner model of dividend smoothing for financial firms in an emerging economy.

This study contributes to the literature through providing vital insights on the relationship between dividend policy and firm value and empirically revisiting the Lintner model for financial sector in a developing economy, specifically Turkey. Furthermore, it addresses the influence of IFRS implementation on the association between dividend policy and firm value. These findings are robust to alternative sampling methods and to controlling for other factors which influence firm value.

This research aims to inspect the existence of the “environmental Kuznets curve” (EKC) in the presence of foreign direct investment (FDI), financial development (FD) and urbanization throughout 1972–2018 for Pakistan.

For time series analysis, Phillips and Perron (PP) and Augmented Dickey–Fuller (ADF) unit root tests are used to confirm the level of integration. For robustness, Kim and Perron (2009)’s structural break unit root test is employed, which identifies the order of integration in the presence of structural break years. Further, combined cointegration analysis is performed to confirm the existence of a long-run association between underlying variables. Furthermore, autoregressive distributed lag (ARDL) analysis is employed for the robustness of the cointegration approach.

The cointegration analysis confirms the existence of a long-run association among variables. The authors find a positive and significant impact of urbanization, FD and foreign development on environmental degradation in the long run. Similarly, only FDI increases environmental degradation in the short run. In addition, the authors find an inverted U-shape relationship between economic growth and environmental quality which, further, confirms the presence of EKC in Pakistan.

This research contributes to applied economics in many ways: the combined effect of urbanization, FD, FDI and economic growth on carbon dioxide (CO₂) emission is checked simultaneously. To avoid ambiguity, this study constructs the FD index through the principal component analysis (PCA). Moreover, the role of structural breaks has been considered through the analysis. Novel Bayer-Hanck combined cointegration analysis is employed to detect the existence of long-run relationships among underlying variables.