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Halal logistics play a crucial role in maintaining a product’s “halal integrity” from farm to fork. These logistics operations are exposed to risks during transportation, storage and handling, that negatively affect the halal supply chain’s operational efficiency and integrity. Therefore, the main purpose of this research is to propose a risk assessment framework for halal logistics.

Initially, the risks associated with halal logistics are identified through an extensive literature review, and then the significant ones are validated with the expert’s input. After that, an appropriate multicriteria decision-making method named best worst method (BWM) is used to prioritise the identified risks. Finally, the robustness of the obtained ranking is assessed with sensitivity analysis.

This research identifies 26 halal logistics risks and then categorises these risks into 6 significant dimensions and proposes a framework. The result obtained from the BWM analysis shows that organisational, transportation and design risks are the primary risks present in halal logistics. Among the halal logistics risks, partnership risk, risk of contamination during transportation and risks of unskilled workers are the top three halal logistics risks that need to be addressed on a priority basis for maintaining halal integrity. Furthermore, this study also suggests some valuable suggestions for mitigating these risks that the logistics providers could use.

The proposed framework is helpful for the assessment of risks associated with halal logistics. The prioritisation of the identified risks supports the managers in formulating mitigation strategies that might reduce the effect of these associated risks in logistics operations.

This study focusses on halal logistics, and to the best of authors’ knowledge, this may be the first attempt to systematically examine the risks related to halal logistics.

Big Data can be utilised for efficient use of resources and to provide better services to the resident in order to enhance the delivery of urban services and create sustainable build environment. However, the adoption of Big Data faces many challenges at the implementation level. Therefore, the purpose of this paper is to identify the challenges towards the efficient application of Big Data in smart cities development and analyse the inter-relationships.

The 14 Big Data challenges are identified through the literature review and validated with the expert’s feedback. After that the inter-relationships among the identified challenges are developed using an integrated approach of fuzzy Interpretive Structural Modelling (fuzzy-ISM) and fuzzy Decision-Making Trial and Evaluation Laboratory (fuzzy-DEMATEL).

Evaluation of interrelationships among the challenges suggests that diverse population in smart cities and lack of infrastructure are the significant challenges that impede the integration of Big Data in the development of smart cities.

This study will enable practitioners, policy planners involved in smart city projects in tackling the challenges in an optimised manner for the hindrance free and accelerated development of smart cities.

This research is an initial effort to develop an interpretive structural model of Big Data challenges for smart cities development which gives a clearer picture of how the identified challenges interact with each other.

Assurance of Halal integrity up to the consumption point requires a supply chain approach. Credence quality attributes of Halal products make adoption and management of Halal practices along the whole supply chain a challenging task. This paper aims to explore and evaluate the barriers in the management of the Halal supply chain.

This paper reviews the contemporary literature regarding Halal and management of Halal supply chain and subsequently identifies significant barriers towards managing the Halal supply chain. Further, these barriers are examined quantitatively using Best Worst Method.

This study has established significant barriers to Halal supply chain management. Moreover, prioritisation of barriers gives a hierarchy to mitigate these significant barriers. The analysis suggests that reduced demand for Halal products is the highly weighted barrier. Improper laws to regulate the Halal industry and lack of policy framework are hindering the effective management of the Halal supply chain.

This study explored a limited number of barriers; it may be possible that some barriers might not have captured. Further, the identified barriers are generic and validated in the context of multicultural societies. Expert opinion has been used to obtain the weight of barriers which may be biased.

To the best of author’s knowledge, no study has categorically explored and presented a holistic framework to mitigate barriers of managing Halal practices in the supply chain.

Circular supply chain management (CSCM) has the potential to compensate for the drawbacks of the linear supply chain model. Therefore, the objective of this study is to identify and prioritise the significant enablers related to the effective management of the circular supply chain (CSC).

The significant enablers of CSCM are identified through a two-step process of literature review and grey-Delphi approach. Further, an integrated grey-based Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is applied to prioritise these enablers.

This study proposes a grey-based framework to identify and evaluate the enablers associated with CSCM. A total of 12 significant CSCM enablers are finalised per the proposed framework. The findings suggest that the top three enablers are "long-term planning", "development of CE culture" and "alignment of CE goals with strategic objectives". These enablers require the attention of the top management and supply chain partner on priority.

This study identifies 12 enablers through the literature review, so there is a possibility to overlook some significant enablers. However, the expert's input is used to finalise and analyse the enablers, which can be biased towards their working level.

This study proposes a grey-based framework to identify and analyse the CSC enablers rarely investigated in the contemporary literature. The paper is strong in methodological contributions and gives practitioners and researchers a better framework for CSCM.

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.

Need for effective adoption of halal certification through assessment and accreditation (HCAA) is imperative for the higher level of customer satisfaction. To achieve this, all stakeholders need to be involved in developing the policy. Thus, this study aims to identify barriers to the adoption of HCAA and analyses through structural model of interrelated barriers

The structural and hierarchical model of barriers to the adoption of HCAA is developed after extensive systematic literature survey along with opinions from various types of experts. Interpretive structural modelling is identified as the appropriate tool in making this model, which is further analysed using MICMAC (Matriced’ Impacts croises-multipication applique’ and classment). Corresponding issues for every barrier as identified may help in further developing the action plan for each stakeholder. Objectives and action plan for various stakeholders were evolved and provided.

The significant finding indicates to developing a globally accepted halal certifying organisation, as to contain the mislabelling, and this further needs extensive government and customer support. The customer needs to be more aware of the proper idea of halal. Therefore, to succeed, the industry needs to develop a brand identity with a distinct/unique/clear marketing message, not just certifying products/services as halal.

Specific direction for different stakeholders has been derived along with academic finding for researchers and to further develop the action plan.

Risk in the Halal food supply chain is considered as the failure to deliver the product which complies with Halal standards. The purpose of this paper is to identify the risk elements associated with Halal food supply chains and prioritise them appropriately towards better management.

This research used a systematic literature review to identify various risk elements in the Halal food supply chain and consolidate them with the expertise of professionals and academicians. Further, the fuzzy analytic hierarchical process (fuzzy AHP) is applied to prioritise the identified risk elements.

The findings of the research suggest that “supply-related risks” are the most prominent risk. Raw material integrity issue is a vital element in the Halal food supply chain. The failure of the supplier to deliver material that complies with Halal standards reduces the industrial economic advantage. This study recommends that the integration of internal processes and outsourcing elements can mitigate the risk of the Halal food supply chain by having a holistic view of the processing and delivery of Halal foods.

Systematic literature review and experts’ opinion are used to identify and consolidate risks. For the literature review, only the SCOPUS database is used; thus, there is a chance to overlook some risk elements. Additionally, the fuzzy AHP analysis depends on relative preference weight. Therefore, care should be taken while constructing a pairwise comparison matrix for risk elements.

The findings of the study can help the managers who have a holistic view on risk mitigation of the Halal food supply chain. This study may assist managers to share information about the processing of Halal food from top to bottom to manage risk.

This study may act as a baseline for undertaking future research in the area of risk management of the Halal food supply chain.

Halal supply chain management (HSCM) is an emerging research area and is in the early stage of evolution. This study aims to identify 11 critical factors towards effective management of a Halal supply chain (HSC) and provides a framework for the HSCM by evaluating Halal practices' impact on sustainability performance measures empirically.

A structured questionnaire-based survey has been carried out to collect data for analysis. The statistical analysis is accomplished by exploiting merits of factor analysis and structural equation modelling (SEM).

The results imply that out of 11 critical factors, nine factors on effective management of the HSC are statistically significant, and impacts of two critical factors are positive but statistically insignificant. In the structural model, the path coefficient of all success indicators are positive and statistically significant. In terms of the path coefficient of sustainable performance measures of HSC, all three dimensions, economic, environmental and social, are positive and statistically significant.

The research extends Halal and supply chain management's literature by proposing Halal as a standard quality control system, as it focuses on wholesome consumption. Effective management of the HSC is positively related to the firms' sustainable performance, thus helping managers make the organisation sustainable in the long term.

The research extends the literature of Halal and supply chain management by proposing Halal as a standard quality control system, which focuses on wholesome consumption. Effective management of the HSC is positively related to the sustainable performance of the firms, thus helps managers in making the organisation sustainable in the long term.

The result of the study underlines that sustainable performance measures are embedded in HSCM. This research develops a new paradigm in the research of HSCM and sustainability.

The purpose of this paper is to understand the major critical success factors (CSFs), which are instrumental for effective adoption and implementation of Halal logistics (HL) in Halal supply chain (HSC) environment.

In total, 15 CSFs/CSF clusters were identified and used to develop an interpretive structural modelling-based hierarchal and structural model. Further, analysis categorises driving and dependence power of factors. MICMAC has been undertaken to analyse how these CSFs and their hierarchies relate, with paths and levels.

It was found that there is a need to develop proper guidelines, standards and codes, to train the Halal logisticians. Robust ICT and its appropriate implementation seems as the backbone of the HSC. HL emerges as a key component for the Halal industry to succeed, and the same is required to extend the integrity of the Halal products from the farm to the fork. That’s to develop Halal as an intrinsic characteristic. Thus, organisations should have support from specific CSFs. The paper provides managerial implications, recommendations for effective implementation of HL and further in identifying the pull effect of HL.

The model so developed is contextual and based on the perception of qualified experts, and they can have biasness of Halal meat supply chain.

An academic research taking views from different stakeholders with findings valuable to researchers and the policy planners.

Halal integrity assurance is the primary objective of Halal supply chain management. Several halal-related risks are present that have the potential to breach halal integrity. Therefore, this study aims to develop the framework for the assessment of halal-related risk from a supply chain perspective.

Risk related to halal is identified through the combined approach of the systematic literature review and experts’ input. Further, these risks are assessed using the integrated approach of intuitionistic fuzzy number (IFN) and D-number based on their severity score. This integrated approach can handle fuzziness, inconsistency and incomplete information that are present in the expert’s input.

Eighteen significant risks related to halal are identified and grouped into four categories. These risks are further prioritised based on their severity score and classified as “high priority risk” or “low priority risks”. The findings of the study suggests that raw material status, processing methods, the wholesomeness of raw materials and common facilities for halal and non-halal products are more severe risks.

This study only focusses on halal-related risks and does not capture the other types of risks occurring in the supply chain. Risks related to halal supply chain management are not considered in this study. Prioritisation of the risks is based on the expert’s input which can be biased to the experts' background.

The proposed risk assessment framework is beneficial for risk managers to assess the halal related risks and develop their mitigation strategies accordingly. Furthermore, the prioritisation of the risks also assists managers in the optimal utilisation of resources to mitigate high-priority risks.

This study provides significant risks related to halal integrity, therefore helping in a better understanding of the halal supply chain. To the best of the authors' knowledge, this is the first comprehensive study for developing a risk assessment model for the halal supply chain.