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Article
Publication date: 21 April 2022

Abid Haleem, Mohd Javaid, Ravi Pratap Singh and Shahbaz Khan

224

Abstract

Details

Industrial Robot: the international journal of robotics research and application, vol. 49 no. 3
Type: Research Article
ISSN: 0143-991X

Article
Publication date: 3 July 2017

Abid Haleem and Mohd Imran Khan

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…

1419

Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Research limitations/implications

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

Originality/value

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

Details

British Food Journal, vol. 119 no. 7
Type: Research Article
ISSN: 0007-070X

Keywords

Article
Publication date: 23 May 2019

Mohd Imran Khan, Shahbaz Khan and Abid Haleem

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…

Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Research limitations/implications

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.

Originality/value

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.

Details

Journal of Islamic Marketing, vol. 13 no. 1
Type: Research Article
ISSN: 1759-0833

Keywords

Article
Publication date: 10 May 2022

Shahbaz Khan, Abid Haleem and Mohd Imran Khan

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…

Abstract

Purpose

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).

Design/methodology/approach

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.

Findings

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.

Research limitations/implications

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.

Originality/value

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.

Details

Management of Environmental Quality: An International Journal, vol. 33 no. 6
Type: Research Article
ISSN: 1477-7835

Keywords

Article
Publication date: 1 June 2021

Mohd Imran Khan, Shahbaz Khan, Urfi Khan and Abid Haleem

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…

Abstract

Purpose

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.

Design/methodology/approach

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).

Findings

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.

Research limitations/implications

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.

Originality/value

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.

Details

International Journal of Building Pathology and Adaptation, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2398-4708

Keywords

Open Access
Article
Publication date: 21 January 2020

Abid Haleem, Mohd Imran Khan, Shahbaz Khan and Abdur Rahman Jami

Halal is an emerging business sector and is steadily gaining popularity among scholars and practitioners. The purpose of this paper is to critically evaluate and review…

3266

Abstract

Purpose

Halal is an emerging business sector and is steadily gaining popularity among scholars and practitioners. The purpose of this paper is to critically evaluate and review the reported literature in the broad area of Halal using bibliometric technique and network analysis tools. Moreover, this paper also proposes future research directions in the field of Halal.

Design/methodology/approach

This paper employed a systematic review technique followed by bibliometric analysis to gain insight and to evaluate the research area associated with Halal. Furthermore, data mining techniques are used for analysing the concerned article title, keywords and abstract of 946 research articles obtained through the Scopus database. Finally, network analysis is used to identify significant research clusters.

Findings

This study reports top authors contributing to this area, the key sub-research areas and the influential works based on citations and PageRank. We identified from the citation analysis that major influential works of Halal are from the subject area of biological science and related areas. Further, this study reports established and emerging research clusters, which provide future research directions.

Research limitations/implications

Scopus database is used to conduct a systematic review and corresponding bibliometric study; the authors might have missed some peer-reviewed studies not reported in Scopus. The selection of keywords for article search may not be accurate for the multi-disciplinary Halal area. Also, the authors have not considered the banking/financial aspects of Halal. The proposed four research clusters may inform potential researcher towards supporting the industry.

Originality/value

The novelty of the study is that no published study has reported the bibliometric study and network analysis techniques in the area of Halal.

Details

Modern Supply Chain Research and Applications, vol. 2 no. 1
Type: Research Article
ISSN: 2631-3871

Keywords

Article
Publication date: 25 July 2019

Shahbaz Khan, Mohd Imran Khan, Abid Haleem and Abdur Rahman Jami

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…

1204

Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Research limitations/implications

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.

Practical implications

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.

Originality/value

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

Details

Journal of Islamic Marketing, vol. 13 no. 1
Type: Research Article
ISSN: 1759-0833

Keywords

Article
Publication date: 31 December 2018

Abid Haleem, Bisma Mannan, Sunil Luthra, Sanjay Kumar and Sonal Khurana

Technology forecasting (TF) and assessment (TA), all in all, apply to any intentional and deliberate endeavours to forecast and view the potential heading, rate…

Abstract

Purpose

Technology forecasting (TF) and assessment (TA), all in all, apply to any intentional and deliberate endeavours to forecast and view the potential heading, rate, attributes and impacts of technological change, especially for development, advancement, selection and utilisation of resources, which ultimately helps in the benchmarking. A vast variety of methods are available for TF and TA. Till now, practically, no exertion has been made to choose proper, satisfactory innovation methods or technology. The paper aims to discuss this issue.

Design/methodology/approach

In this paper, there is an endeavour to summarise the vast field of TF and TA, through its evolution, functions, applications and techniques. This paper provides the in-depth review of the utilisation of TF and TA methodologies and its improvement, which helps the users in selecting the appropriate method of TF and TA for a specific situation.

Findings

This study concludes that the quest for a single strategy for doing forecast and assessment is a misconception. This neglects to perceive that forecast and assessment oblige a suitable blend of strategies and methods drawn from a variety of fields. Researchers and practitioners must be innovative, imperative and specialised in choosing TF and TA methodologies, and cannot be programmed.

Practical implications

The technology seems to be the most significant driver of the present day global developments. Some technologies have far-reaching implications, and the authors need to understand these issues regarding its’ forecasting and its assessment.

Originality/value

The decision of proper worthy procedure amid a circumstance may have an impact on the exactness and reliability of the forecast and assessment. Significant observations regarding learning, action/s, actor/s and expected outcomes are discussed.

Details

Benchmarking: An International Journal, vol. 26 no. 1
Type: Research Article
ISSN: 1463-5771

Keywords

Article
Publication date: 31 May 2019

Sanjay Kumar, Abid Haleem and Sushil

The purpose of this paper is to provide a framework for assessing the overall innovativeness of manufacturing firms using a multi-attribute group decision-making methodology.

Abstract

Purpose

The purpose of this paper is to provide a framework for assessing the overall innovativeness of manufacturing firms using a multi-attribute group decision-making methodology.

Design/methodology/approach

This study identifies the indicators of firms’ innovativeness from the literature. The concept of neutrosophic numbers has been used to assign different importance weights to individual decision makers to account for the differences in their educational backgrounds and practical experience. An intuitionistic fuzzy based TOPSIS procedure is adapted for ranking the candidate firms based on their performance on identified criteria. The implementation of the proposed methodology is demonstrated through an explanatory example. Sensitivity analysis is carried out to judge the robustness of the proposed framework.

Findings

The proposed framework provides an efficient and reliable tool to subjectively evaluate and compare the innovativeness of manufacturing firms. The sensitivity analysis shows that the methodology is robust enough to absorb the noise factors/errors/variations, etc.

Research limitations/implications

Motivated by this work, future studies can consider developing an integrated innovativeness index for evaluation of innovativeness of manufacturing firms. The concept of interval valued intuitionistic fuzzy and neutrosophic sets can be utilized to reduce the margin of perceptual errors even further.

Practical implications

The study will provide the firms with a framework for benchmarking their innovative performance. The firms can analyze their current performance and reconfigure their resources and capabilities suitably to improve their competitive position.

Originality/value

This study is one of the few attempts that have been made to articulate a firm level innovativeness assessment tool for manufacturing firms operating in an industry sector. Advanced concepts of fuzzy and neutrosophic sets have been utilized to eliminate the chances of bias/perceptual errors that most often affect the quality of decisions in today’s dynamic and uncertain decision-making environment.

Details

Benchmarking: An International Journal, vol. 26 no. 6
Type: Research Article
ISSN: 1463-5771

Keywords

Article
Publication date: 16 February 2022

Abid Haleem, Mohd Javaid, Ravi Pratap Singh, Shanay Rab and Rajiv Suman

Industry 4.0 refers to the interconnection of cyber-physical systems, which connects the physical and digital worlds by collecting digital data from physical…

Abstract

Purpose

Industry 4.0 refers to the interconnection of cyber-physical systems, which connects the physical and digital worlds by collecting digital data from physical objects/processes, and using this data to drive automation and optimisation. Digital technologies used in this revolution gather and handle massive volumes of high-velocity streams while automating field operations and supply chain activities. Cybersecurity is a complicated process that helps sort out various hacking issues of Industry 4.0. This purpose of this paper is to provide an overview on cybersecurity and its major applications for Industry 4.0.

Design/methodology/approach

The rise of Industry 4.0 technologies is changing how machines and associated information are obtained to evaluate the data contained within them. This paper undertakes a comprehensive literature-based study. Here, relevant research papers related to cybersecurity for Industry 4.0 are identified and discussed. Cybersecurity results in high-end products, with faster and better goods manufactured at a lesser cost.

Findings

Artificial intelligence, cloud computing, internet of things, robots and cybersecurity are being introduced to improve the Industry 4.0 environment. In the starting, this paper provides an overview of cybersecurity and its advantages. Then, this study discusses technologies used to enhance the cybersecurity process. Enablers, progressive features and steps for creating a cybersecurity culture for Industry 4.0 are discussed briefly. Also, the research identified the major cybersecurity applications for Industry 4.0 and discussed them. Cybersecurity is vital for better data protection in many businesses and industrial control systems. Manufacturing is getting more digitised as the sector embraces automation to a more significant level than ever before.

Originality/value

This paper states about Industry 4.0 and the safety of multiple business process systems through cybersecurity. A significant issue for Industry 4.0 devices, platforms and frameworks is undertaken by cybersecurity. Digital transformation in the Industry 4.0 era will increase industrial competitiveness and improve their capacity to make optimum decisions. Thus, this study would give an overview of the role of cybersecurity in the effective implementation of Industry 4.0.

Details

Industrial Robot: the international journal of robotics research and application, vol. 49 no. 3
Type: Research Article
ISSN: 0143-991X

Keywords

1 – 10 of 37