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This study aimed at exploring the differential effects of different corporate governance (CG) indicators on risk management practices in Islamic financial institutions (IFIs) and conventional financial institutions (CFIs) of Pakistan. It also investigated the moderating role of institutional quality (IQ) in shaping the effects of CG practices on financial institutions of Pakistan.

A sample of 57 financial institutions including commercial banks, insurance companies and Modarba companies over the period 2006–2017 is used to carry out the empirical analysis. The authors applied the robust two-step system-generalized method of moments estimator, which is also called the dynamic panel data estimator. They also built the PCA-based composite index of CG and IQ by using different indicators to investigate the moderating role of IQ. They used three proxies for risk taking, five for CG and one for Shari’ah governance. To test the validity of the instruments, they applied the Arellano and Bond’s (1991) AR (1) and AR (2) tests and the J-statistic of Hansen (1982).

The results provided strong evidence that several individual characteristics of CG and the composite index are significantly related to the operational risk, the liquidity risk and the Z-score (a proxy for solvency risk). The results also revealed that IQ significantly and substantially contributes in reducing the level of risks. Finally, the estimation results indicated that the effects of CG on risk management are significantly different at IFIs and CFIs. This differential impact is mainly attributed to the fundamental differences in business models, operational strategies and contractual obligations of both types of institutions.

The findings of this study are important for enhancing our understanding of how CG relates to risk taking in Islamic and conventional financial services industries and how good quality institutions are important for formulating the governance effects on the risk-taking behavior of financial institutions. The findings suggest that a suitable size of board should be chosen to manage the risk effectively. As the findings show that the risk-taking behavior of IFIs differs from that of CFIs, the regulators and international standard setting bodies should tailor the regulatory frameworks accordingly.

This paper is different from the existing studies in four aspects. First, to the best of the authors’ knowledge, this is the first empirical investigation in Pakistan, which does the comparison of IFIs and CFIs while examining the impacts of CG on risk management. Second, the paper constructs the composite index of CG by considering several different indicators of governance and examines the combined effect of governance indicators on risk management process. Third, this paper adds to the growing literature on the role of IQ by investigating whether it acts as a moderator between CG structures and risk management and if yes, then whether this moderating role is different for IFIs and CFIs. Finally, the paper builds upon the existing research work on the CG effects for different types of financial institutions by proposing a single regression based analytical framework for comparing the effects across two different types of institutions, harvesting the benefits of higher degrees of freedom and avoiding/minimizing the measurement error.

Growing emphasis on long-term viability prompts researchers and industry professionals to collaborate on innovative approaches for sustainability and survival. Industry 4.0 (I4.0) technology's importance drives active adoption by firms amidst evolving business dynamics. This research examines the influence of I4.0 technologies on lean, agile resilient and green practices and their impact on supply chain performance.

Survey data from Pakistani manufacturing enterprises were analyzed using SMART PLS to explore the relationship between I4.0 technology, supply chain practices and supply chain performance.

I4.0 technologies significantly impact all practices, while agile and resilient supply chain approaches partially mediate the relationship with supply chain performance.

Insights from this research guide policymakers and business experts in implementing and managing lean, agile, resilient and green practices. Integrating these principles with digital technology solutions enhances supply chain performance.

This study advances understanding of the interplay between I4.0 technologies, practices and supply chain performance, providing a basis for further research and practical implications.

The present study enriches the person-situation debate by developing and testing a theoretical model on the nexus between empowering leadership (EL) and intrapreneurial behaviour (IB) in the presence of a strong organisational situation of perceived organisational support (POS).

Cross-sectional survey data collected from 237 engineers working for Pakistani automakers were used to evaluate the suggested theoretical framework. The survey results were analysed using the partial least square structural equation modelling (PLS-SEM) method.

The results from the analysed data revealed a significant and positive relationship between EL and IB. POS significantly moderate the relationship between EL and IB as per the conceptualisation of situation strength theory (SST) and is established as a strong organisational situation that generates situational cues for IB outcomes from employees.

The present study provides new insights into determining employees' workplace behaviour as viewed from the organisational situations. Hence, top management in organisations can create a conducive environment by improving employees' POS for valued work behaviours like IB.

This study aims to investigate the comparative importance of factors influencing the customer shift behavior from conventional to Islamic banking for consumer finance in Pakistan.

First, a comprehensive analysis of the existing literature was conducted to identify a broad range of factors related to customer shift behavior. Through an expert sampling, 14 essential factors were chosen for further investigation. Second, a questionnaire was developed using the analytical hierarchy process (AHP). This questionnaire was then distributed among customers who had previously been using conventional banking services but had made a shift toward Islamic banking. The purpose of this questionnaire was to gather data and insights regarding their motivations and decision-making process behind the shift, and a sample 215 customers are taken in the study.

The results of AHP depicts that the religiosity is a most important factor influencing customers to shift from conventional to Islamic banking, and the second most important factor is pricing. The other subsequent important factors are reputation of the bank, marketing and promotion, service quality, behavior of banks staff, Shariah compliance, management, convenience, fastness and charges/fees. Whereas documentation, ambiance and recommendation are found least important factors to patronize Islamic banking.

The study recommends Islamic banks to create awareness, concentrating on religious factor to have a greater impact on growth of Islamic banking and shrinking of conventional banking. Further, it suggests Islamic banks to apply Shariah-recommended approach of doing business, to help community in best possible way and to launch differentiated marketing techniques to attract customers. It also proposes regulatory authorities to provide facilitation to Islamic banking business by providing level playing field similar to conventional banking, tax equality and conversion of public financing from conventional banking to Islamic banking.

The originality of this study lies in its comprehensive analysis of factors influencing consumer shift behavior from conventional to Islamic banking in the context of consumer finance in Pakistan. By using the AHP, the study provides a structured approach to understanding the relative importance of these factors. This is the uniqueness of the paper that it applies the AHP for the analysis. Furthermore, the study offers practical implications for Islamic banks and regulatory authorities to effectively address and capitalize on this consumer shift trend.

This study aims to conduct a systematic literature review on consumer behavior (CB) in Islamic banking (IB), encompassing an overview of researched contexts and topics, identifying literature gaps and proposing a comprehensive future research agenda.

By using bibliometric citation and content analysis, this study investigates 135 documents sourced from Scopus indexed publications.

This study delves into the growing field of CB in IB, offering a comprehensive understanding that encompasses influential journals, theories, research context, characteristics and methods used in IB research.

To the best of the authors’ knowledge, this study is the first to provide a comprehensive review of CB studies in the IB domain detailing research topics, prevailing theories, research settings, important variables and research methods.

This study is an attempt to explore the determinants of entrepreneurial intentions in the context of family business background. There is a dearth of studies on the relationship between family business and entrepreneurial intentions. Three constructs of social cognitive theory (SCT) have been applied as mediators: self-efficacy, subjective norms and outcome expectations.

To measure entrepreneurial intentions, the data have been collected from the postgraduate students of three universities in Pakistan. The questionnaire was distributed among the respondents, and 416 complete responses were taken from the students. Simple random sampling has been applied, and measurement and hypothesized models are tested by using the structural equation modeling technique in WarpPLS.

The results of this research reveal that family business background significantly affects the three elements of SCT (self-efficacy, subjective norms and outcome expectations), which further develop the individuals’ entrepreneurial intentions (EIs). The results showed that social cognitive elements are the underpinning mechanism that explains the relationship between family business background and EIs.

The similarity of the study is less than 18%.

This paper aims to delve into the factors influencing the adoption of Islamic Fintech and investigates the potential impact of Religious Orientation.

The study uses a questionnaire to collect data from 291 Jordanians, using Structural Equation Model – Partial Least Squares (SEM-PLS) to evaluate the research model and test hypotheses.

The outcomes of the Smart PLS path analysis revealed that several factors significantly influence the adoption of Islamic Fintech. Notably, perceived risk, financial literacy, trust and convenience were identified as pivotal determinants in shaping individuals' decisions to adopt Islamic Fintech. Additionally, the study unveils the noteworthy role of religious orientation as a moderator, impacting the relationship between perceived risk, financial literacy, trust and convenience concerning the adoption of Islamic Fintech.

This study contributes fresh insights to the existing literature concerning the adoption of Islamic Fintech, enhancing the understanding of the key drivers in this domain. Furthermore, it emphasizes the practical implications of religious orientation in shaping individuals' attitudes and behaviors pertaining to Islamic Fintech adoption.

This study aims to explore the impact of financial technology (fintech) and behavioral intention on financial inclusion, specifically focusing on the role of digital marketing as a mediator.

Using a quantitative research design, this study collected data from 638 respondents in the province of Punjab, Pakistan to investigate the relationship between variables.

The results indicate that both behavioral intention and fintech have a positive and favorable effect on financial inclusion. Furthermore, the study reveals that digital marketing acts as a mediating factor between financial inclusion and both behavioral intention and fintech. These findings underscore the significance of using effective digital marketing strategies to facilitate financial inclusion through fintech platforms. Policymakers should prioritize the adoption of fintech innovations and supportive regulatory frameworks while implementing comprehensive digital marketing strategies to promote financial inclusion.

This research contributes to the existing body of literature by presenting empirical evidence that highlights the interconnectedness of fintech, behavioral intention, digital marketing and financial inclusion. By harnessing the potential of fintech and digital marketing, financial institutions can bridge the gap between underserved populations and formal financial services, thereby promoting economic growth and reducing inequality.

The article addresses the optimization of safety stock service levels for parts in a repair kit. The work was undertaken to assist a public transit entity that stores thousands of parts used to repair equipment acquired over many decades. Demand is intermittent, procurement lead times are long, and the total inventory investment is significant.

Demand exists for repair kits, and a repair cannot start until all required parts are available. The cost model includes holding cost to carry the part being modeled as well as shortage cost that consists of the holding cost to carry all other repair kit parts for the duration of the part’s lead time. The model combines deterministic and stochastic approaches by assuming a fixed ordering cycle with Poisson demand.

The results show that optimal service levels vary as a function of repair demand rate, part lead time, and cost of the part as a percentage of the total part cost for the repair kit. Optimal service levels are higher for inexpensive parts and lower for expensive parts, although the precise levels are impacted by repair demand and part lead time.

The proposed model can impact society by improving the operational performance and efficiency of public transit systems, by ensuring that home repair technicians will be prepared for repair tasks, and by reducing the environmental impact of electronic waste consistent with the right-to-repair movement.

The optimization model is unique because (1) it quantifies shortage cost as the cost of unnecessary holding other parts in the repair kit during the shortage time, and (2) it determines a unique service level for each part in a repair kit bases on its lead time, its unit cost, and the total cost of all parts in the repair kit. Results will be counter-intuitive for many inventory managers who would assume that more critical parts should have higher service levels.

The purpose of this study provide answers to the following research questions: Whether and to what extent money laundering affects the achievability and the trend of Sustainable Development Goals (SDGs)?; Does the influence of money laundering on the SDGs’ achievement differ from developing to developed countries?; How does the influence of money laundering vary among the 17 SDGs?

The paper’s analysis involves two key parts. In the first part, the authors perform a multivariate analysis to examine the influence of money laundering on the achievement of SDGs, and then in the second part, the authors make use of an ordered probit regression model to investigate the impact of money laundering on the trend of attaining each SDG.

Using a sample of 98 developed and developing countries, the regression results from multivariate analysis estimates show that money laundering has a strong inhibiting effect on the achievement of almost all the SDGs in the whole sample of countries and the sub-sample of developing countries, whereas no significant effect is observed for developed countries. However, for the SDG trends, the ordered probit estimates reveal that the harmful effect of money laundering occurs for all countries regardless their development level. In addition, perhaps surprisingly, the results from both the approaches yield also evidence advocating that money laundering activities might be associated with positive externalities on production and consumption. In fact, money laundering is found to have a significant positive influence on the achievement and the trend of SDG12 (Sustainable Consumption and Production). Overall, this study’s findings do have interesting policy implications, especially for developing countries. In these countries, prioritising the formulation and implementation of sound anti-money laundering policies is a necessary requirement for their progress towards achieving the SDGs.

The long-standing tradition of previous empirical studies examining the nexus between money laundering and sustainable development concentrates mainly on the economic dimension of sustainability (i.e. economic growth). However, little is known about the consequences of money laundering activities on the environment and the societies. Consequently, this study seeks to fill this gap by assessing the influence of money laundering on the achievement of the economic, environmental and social goals of sustainable development. To the best of the authors’ knowledge, this is the first integrated study to analyse the potential repercussions of money laundering on the SDGs’ achievement.