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Customers of Islamic banking industry continue to be skeptical on Sharīʿah compliance of Islamic banks despite receiving fatwa from the competent authorities. The purpose of this paper is to quantify the Sharīʿah risk taken by Islamic banks, so that customers are better informed on the level of Sharīʿah compliance that will help in removing the persistent level of skepticism toward Sharīʿah compliance.

This research has used the scorecard based modeling approach to build the Sharīʿah risk rating model, which consists of 14 factors that capture Sharīʿah risk and are grouped in 5 major areas revolving around regulatory support, quality of Sharīʿah supervision, business structure, product mix and treatment of capital adequacy ratio. The score calculated by applying the model is grouped into 4 tiers reflecting the level Sharīʿah compliance at bank as non-compliant, weak compliance, satisfactory compliance and high level of Sharīʿah compliance. Three case studies were conducted by applying the model to Islamic banks from Malaysia, Pakistan and Saudi Arabia.

The final Sharīʿah risk scores calculated by the model clearly differentiate the 3 banks on basis of their Sharīʿah risk. The underlying scores also highlighted the areas where banks need to improve to reduce their Sharīʿah risk.

This model can be applied by customers of Islamic banks who are interested in understanding Sharīʿah-related aspects of Islamic banking industry. This model can be applied on standalone basis or as an extension to the conventional counter party risk rating models. This model can benefit management of Islamic banks toward allocation of capital against Sharīʿah risk under Basel III, and regulators can apply the model to measure industry wide risk of Sharīʿah non-compliance.

This paper aims to propose an algorithm, location-aware opportunistic content forwarding (LOC), to improve message directivity using direction vectors in opportunistic networks. The LOC is based on the assumption that if approximate location of the destination node is known, then overall message delivery and cost can be improved. Efficient message delivery with low communication cost is a major challenge in current opportunistic networks. In these networks, nodes do not have prior knowledge of their recipients, and message forwarding can be achieved by selecting suitable forwarder based on some forwarding criteria, as compared to its ancestor mobile ad hoc networks.

In this paper, the authors tested LOC in two sets of mobility models, synthetic movement model and real mobility data sets. In the first set, working day movement is used as synthetic movement model, where proposed algorithm is compared against Lobby Influence (LI) and Epidemic algorithms. In the second set of experiments, the new algorithm is tested in three mobility data sets, namely, Cambridge, Reality and Sassy, and results compared against LI algorithm. The reason of using various movement models is to establish strengths and weaknesses of the proposed algorithm in different scenarios.

The experimental results show that the new algorithm performed extremely well in different scenarios, not only in terms of overall message delivery but also successfully managed to reduce the communication cost.

The new contribution increases the overall energy and storage efficiency of nodes by targeting relevant forwarding nodes in the network.

Over the last two decades, corporations have increasingly adopted green innovation to lessen the unsuitable impact on the environment and gain competitive advantage at the same time. However, researchers have paid more attention to green product innovation and the firm's financial risk (FFR) relationship than green process innovation. Such neglect of green process innovation has failed to produce an elusive understanding of green process innovation and FFR relationship, and this relationship is necessary to understand for the ongoing debate on “does it pay to be green?” Thus, the purpose of this research is to investigate the relationship between green process innovation performance (GPRIP) and FFR, and it also examines the moderating role of slack resources and competitive intensity in facilitating this relationship.

The authors collected 202 publicly listed Thai manufacturing firms' data using questionnaire survey and firms' financial statements, and this research employed hierarchical moderating regression analyses to test hypotheses.

Results demonstrate that GPRIP negatively influences the FFR. Competitive intensity reinforces the negative relationship between GPRIP and FFR, whereas organizational slack has an unfavorable moderating effect, i.e. firms with ample organizational slack are less likely to reduce their financial risk from higher GPRIP.

The research model contributes to an ongoing debate on “does it pay to be green?” by providing a thorough understanding of GPRIP and FFR relationship, as to the authors' best knowledge, no work to date has examined this relationship. This research also sets out the boundary conditions of the GRPIP and FFR relationship and highlights the critical role of firm-specific condition, i.e. slack resource and market condition, i.e. competitive intensity to reap higher financial benefits from GPRIP.

The purpose of this research is to provide a comprehensive review of key influential aspects and conceptual structure of Takaful literature.

The authors review 149 journal articles using bibliometric citation analysis, co-word analysis and citation histograms. However, the authors have introduced a new index of keywords for co-word analysis.

The results purpose four research clusters of Takaful literature. The first theme compared Takaful with conventional insurance from various perspectives. Second theme explored the business model and sharia-compliant issues. Third theme applied the marketing concepts and examined the customer behaviour such as commitment, loyalty, satisfaction or awareness. Fourth theme examined risk management, investment and corporate governance issues. This research also identified the structure of variables studied in each theme.

This paper follows a very novel and trending bibliometric approach and explores what has been published, encompassing all aspects of Takaful literature. This study also presents 22 future research directions which are either missing or less researched in Takaful literature.

This study examines the role of continuous trust (i.e., a trust that develops over time as a result of continuous usage interactions) in determining customers' intention to continue using online product recommendations (OPRs).

Based on information system (IS), continuance model, and continuous trust, we propose that continuous trust will influence customers’ intention to continue OPRs’ use directly and indirectly via their satisfaction and usefulness of the OPRs. The research model is tested using data collected via an online survey from 626 existing users of OPRs in 15 different countries.

The empirical results revealed that continuous trust is shown to be a significant predictor of customers’ intention to continue OPRs use for future purchases. Additionally, the customers’ perceived confirmation and continuous trust positively influence their perceived usefulness and satisfaction with the OPRs, which subsequently influence customers’ OPRs continuous usage intention.

The saliency of continuous trust and usefulness of OPRs present e-retailers with potential fruitful areas to shape future usage of OPRs. In addition, e-retailers must understand that improving the OPR usefulness on its own may not lead to OPRs continuous usage until OPRs trustworthiness is not continually improved. OPRs itself may be convenient and useful, but trustworthy OPRs will pay stronger dividends for customer satisfaction and OPRs’ continuous usage.

The incorporation of continuous trust into the IS continuance model offers a new theoretical lens and an alternative explanation for the OPR continuous usage intention. This study stands in contrast to the large majority of research concerning initial trust and OPRs adoption, in that it focuses on continuous trust (as opposed to initial trust) and on a customers’ OPRs continuous usage intention as opposed to the initial adoption decision.

The paper aims to explore how market pressures, upper echelons theory and slack resources interact to affect pro-environmental strategies in an emerging market. Specifically, the authors assess external market factors (consumer concerns, regulatory forces and competitors' concerns) in terms of how they are negotiated through internal resources and company capabilities (top management commitment and discretionary slack) to produce or not produce pro-environmental strategies (environmental corporate strategy and environmental marketing strategy).

A total of 1,000 questionnaires were distributed in the Pakistani manufacturing sector – where energy use and natural resources consumption is intensive. The final 181 useable responses were analyzed using covariance-based structural equation modeling and the PROCESS macro.

The results reveal that regulatory forces and competitors' concerns have both direct and conditional indirect effects on environmental corporate strategy but only conditional indirect effects on environmental marketing strategies through the mediation of top management commitment and at different levels of discretionary slack. However, consumer concerns remain inconsequential antecedents with insignificant direct effects and conditional indirect effects on environmental corporate and marketing strategies through the mediation of top management commitment at different levels of discretionary slack.

The authors propose an integrative model as a functioning mechanism for the environmental strategic decisions of companies in emerging markets. This model relies on both slack resource and upper echelons theories. These findings contribute to a better understanding of the impacts of internal and external determinants and functions on environmental strategies at corporate and functional levels in emerging markets. The various paths to diverse levels of environmental strategy and the insignificant role of consumer concerns suggest a need for further investigation of corporate environmentalism in emerging markets that consider their distinctive legal, societal, market and institutional contexts.

The paper seeks to document attitudes and patterns of behavior in Pakistan's criminal justice system over the past 30 years.

A conceptual discussion and approach are taken following extensive interviews, conducted in 1992‐1993, with members of the police, judges, civil service bureaucrats, torture victims, psychiatrists, political detainees, criminal lawyers and others.

The patterns of behavior are longstanding and deeply rooted despite periodical changes in political leadership. Cynicism about law enforcement is widespread throughout the country and much crime goes unreported as a result. There is a lack of faith and support for police officials and legal safeguards for criminal suspects are often ignored.

The conditions in Pakistan's criminal justice system are explained theoretically with reference to the concept of hegemony in Pakistan's prevailing political culture.

Despite the significant economic contributions of the tourism and hospitality industry, it is also considered an emerging concern for its negative impact on the environment. This study investigated the association between green inclusive leadership (GIL), green human resource management (GHRM), and employee proactive pro-environmental behaviour (PEB). The study also investigated the mediating effect of GHRM between GIL and proactive PEB.

Hotel employees in Malaysia were the respondents in this study. The researchers used a cross-sectional approach and partial least squares-structural equation modeling (PLS-SEM) to analyse the data.

Results found a significant relationship between GIL, GHRM and proactive PEB. Findings of the study revealed that GHRM significantly meditates the relations between GIL and proactive PEB.

This study presents practical implications for the hotel industry by encouraging employees' environmentally responsible behaviour. Enlightening the role of environmentally open and accepting ways to promote positive employee behaviour is of considerable practical use not solely for the organisations but additionally for culture as a whole.

Theoretical contributions are made by constructing a new structural model supported by the theory of planned behaviour (TPB) and the induction of GIL, GHRM, and proactive PEB and measuring the factors simultaneously. The study further established the mediating role of GHRM between GIL and proactive PEB.

This article investigates the long-run impact of remittance inflows on agricultural productivity (AGP) in emerging Asian economies (Bangladesh, Sri Lanka, Malaysia, India, Nepal, Philippines, Pakistan, and Vietnam), employing a panel dataset from 2000 to 2018.

This study initially applies cross-sectional dependence (CSD), second-generation unit root, Pedroni, and Westerlund panel co-integration techniques. Next, it uses the augmented mean group (AMG) and common correlated effect mean group (CCEMG) methods to investigate the long-term impact of remittance inflows on AGP while controlling for several other important determinants of agricultural growth, such as cultivated area, fertilizers, temperature change, credit, and labor force.

The empirical findings are as follows: The results first revealed the existence of CSD and long-term co-integration between AGP and its determinants. Second, remittance inflows significantly boosted AGP, indicating that remittance inflows played a crucial role in improving AGP. Third, global warming (changes in temperature) negatively impacts AGP. Finally, additional critical elements, for instance, cultivated area, fertilizers, credit, and labor force, positively affect AGP.

This study suggests that policymakers of emerging Asian economies should develop an exclusive remittance-receiving system and introduce remittance investment products to utilize foreign funds and mitigate agricultural production risks effectively.

This is the first empirical examination of the long-term impact of remittance flows on agricultural output in emerging Asian economies. This study utilized robust estimation methods for panel data sets, such as the Pedroni, Westerlund, AMG, and CCEMG tests.