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Huge gap exists between demand and supply of seeking health care leads to remain high maternal mortality in rural areas of Uttar Pradesh, India. The purpose of this paper is to make an effort in this direction.

This paper draws on Three Delays Model to understand the reasons behind poor maternal health outcomes among 964 currently married women aged 15–34, given birth in last two years preceding the survey including six case studies in poor settings of Northern India.

Receiving minimum four antenatal care and identifying the severity of obstetric complications during pregnancy was quite low (7 and 34 per cent, respectively). Major delay in seeking care in district was decision delay (average four days) followed by arranging transportation (average 4 hours) and start treatment within an hour after reaching health facility. Health services and trained human resources are mainly concentrated at towns and poor supply of drugs and equipment in labour room is always in demand at primary level in the district in area. Delays in decision making, travel and treatment compounded by ignorance of obstetric complications and poor healthcare infrastructure are the major contributing factors of maternal deaths in the district in area.

Interventions to improve timely seeking of medical care for obstetric complications may need to more effectively target husbands and family members rather than women. Strengthening of primary and secondary level facilities and timely referral to tertiary level care can play a crucial role in improving obstetric care in the district in rural areas.

This study aims to identify blockchain-related innovation trends that can improve trust networks in a smart city's transport and supply chain networks. Trust networks are crucial in building and maintaining the trust of citizens in smart cities. By promoting transparency and accountability, facilitating collaboration and innovation, enhancing citizen participation and protecting privacy and security, trust networks can help to ensure that smart cities are developed and implemented in a responsible and sustainable way. A systematic literature review identifies 60 conceptual and empirical studies. This research focuses on the current problems and developing procurement and supply chain strategy and the potential benefits of using blockchain in these areas. It suggests ways for the smart city's transport and supply chain networks to utilise blockchain to improve operations and supply chain strategy and identifies innovation trends related to blockchain. The study also includes a systematic literature review and Blockchain Transformation and Influence model as the basis to enhance trust networks in the supply chain.

The emergence of blockchain technology has the potential to bring about transformative changes in various industries, with supply chain management being a prominent domain of application. This study investigates the strategic performance benefits of using blockchain-enabled traceability systems for improving supply chain quality management.

The present study employed structural equation modelling to analyse data obtained from 200 practitioners working in Indian pharmaceutical companies.

The results reflect that blockchain-enabled traceability systems have a positive impact on multi-tier quality governance (MQG); supply chain process alignment and coordination (SPAC) and quality centric collaboration (QCC); all of which are the facets of supply chain quality management. Furthermore, when examining the impact of blockchain-enabled traceability systems on firm quality performance and economic performance, the mediation role of SPAC and QCC was confirmed, whereas the mediation role of MQG could not be established.

The study’s empirical insights offer practical guidance for pharmaceutical manufacturers, regulators and other industry participants seeking to harness the potential of blockchain technology for creating resilient and transparent supply chains that uphold product quality and safety standards.

These findings underscore the significance of blockchain-enabled traceability systems in revolutionizing supply chain quality management practices to achieve superior strategic performance in the pharmaceutical sector.

Pakistan's present war against extremists has many folds and sheds. The country's initial participation in the Afghan War in 1979 later gave birth to different extremist trends in the country. State patronage of the extremist Wahabi Islamists during the Afghan jihad opened another conflict in Pakistan, and things became more complicated. The combination of external and internal factors gave birth to the worst kind of conflict, which now has not only become dangerous for the country's own existence but also a major threat for global peace. The Afghan jihad initially started as a war against Soviet occupation and later became the hub of global jihad-war against infidels.

This chapter analyzes how external factors promoted internal contradictions in Pakistan due to which the country became not only an exporter of jihadis for the world but also the worst kind of sectarian conflicts, including. Shia–Sunni, Deobandi–Wahabi clashes, entered into in the past two decades. Such a strong link exists with Pakistan's official support to global jihad. Draft sectarian groups now head to head with their opponents have killed thousands of members of rival sectors, have strong support from external sympathizers, and have spread in the country. The well planned terrorist activities of these groups reflect the fact that support to these groups in the past is now leading to a severe crisis in Pakistan. The nexuses of these indigenous extremists like Lashkar-e-Jhangvi, Lashkar-e-Taiba, Tehrik-e-Taliban Pakistan, and Hizb-ul-Mujahideen with external terrorist organizations like Al-Qaeda, the Taliban, and Islamic Movement of Uzbekistan of Tahir Yuldasher Chechen Guerilla War has led to several bloody clashes in the country and outside.

This paper aims to provide a detailed review of various cutting fluids (CFs).

Friction and wear are inevitable in machine parts in motion. The industrial sector uses various kinds of lubricants, which include engine oils, CFs, hydraulic fluids, greases, etc. to control friction and wear. The main purpose of using CF is to remove heat produced during machining and to reduce cutting forces, tool wear and energy associated with it. Thus, it increases the productivity and quality of the manufacturing process. But more than 80% of the CFs used in the industries now are mineral oil-based. These mineral oils and additives are highly undesirable because of their toxicity, nonbiodegradability, pollution and ecological problems. Hence, these petroleum-based oils in the lubrication system can be substituted with alternatives such as vegetable-based CF. Several studies are being conducted in the field of eco-friendly CFs. Because of the variance in fatty acid profile and availability, the selection of vegetable oils (VOs) is another problem faced nowadays. The present study is focused on bio-based oils and many eco-friendly additives. Various machining processes and comparisons relating to the same have also been made. The aim is to minimize the use of mineral oil and thereby introduce sustainability in production.

In this present study, bio-based oils, additives and various characteristic behavior of them in machining are being discussed. The VOs are found to be a potential base oil for industrial CFs.

This paper describes the importance of sustainable CFs.

The purpose of this paper is to identify factors affecting performance of heritage conservation projects in terms of project management parameters of time, cost, and quality.

An exploratory study was conducted in India, wherein 41 conservation professionals were interviewed. The method adopted for the study was unstructured interviews, wherein the respondents were asked open-ended questions about the issues faced in such projects and factors affecting project performance.

The interview recordings and notes, made during the exploratory study, have been manually coded to identify the most frequently mentioned problems, group them into categories, and assess their relative importance.

This paper has presented a broad overview of the challenges faced by heritage conservation projects in general. Further research is necessary to analyse if the challenges depend on factors like type of heritage, project delivery model, and stakeholders involved, and to develop mitigation strategies for these challenges.

The findings from this study can be used by practitioners to improve performance of heritage conservation projects in terms of time, cost, and quality.

The findings of the exploratory study help to better understand the reasons of poor performance of heritage conservation projects in terms of time, cost, and quality. The paper has identified major challenges of the sector, and assessed their relative importance, which can help in developing project management strategy for future projects.

The purpose of this study is to propose and develop a zakat model for digital assets from the Sharīʿah perspective.

This research adopts a qualitative research method while studying the literature thoroughly, and it analyzes the data through an exploratory research approach to propose a zakat model for the digital assets.

This research aims to develop a zakat model for digital assets within the framework of Sharīʿah. Using a qualitative research method, the study thoroughly examines existing literature and uses an exploratory research approach to propose this zakat model. The findings suggest that digital assets hold the potential to be considered for zakat in the contemporary digital age. Previous studies indicate that both commodity-based and currency-based digital assets meet the criteria for zakat imposition. Given zakat’s significant impact on socioeconomic development, it is imperative to carefully manage these assets to maximize their potential benefits. However, variations in interpretations by different jurisdictions and Sharīʿah scholars regarding the understanding and classification of digital assets lead to ongoing scrutiny from legal and religious perspectives. This research aims to contribute to the discourse by proposing a zakat model for digital assets and identifying potential assets eligible for zakat.

This research seems to be the pioneer in providing a zakat model for digital assets, combining different segments of digital assets.

Blockchain technology is one of the major contributors to supply chain sustainability because of its inherent features. However, its adoption rate is relatively low due to reasons such as the diverse barriers impeding blockchain adoption. The purpose of this study is to identify blockchain adoption barriers in sustainable supply chain and uncovers their interrelationships.

A three-phase framework that combines machine learning (ML) classifiers, BORUTA feature selection algorithm, and Grey-DEMATEL method. From the literature review, 26 potential barriers were identified and evaluated through the performance of ML models with accuracy and f-score.

The findings reveal that feature selection algorithm detected 15 prominent barriers, and random forest (RF) classifier performed with the highest accuracy and f-score. Moreover, the performance of the RF increased by 2.38% accuracy and 2.19% f-score after removing irrelevant barriers, confirming the validity of feature selection algorithm. An RF classifier ranked the prominent barriers and according to ranking, financial constraints, immaturity, security, knowledge and expertise, and cultural differences resided at the top of the list. Furthermore, a Grey-DEMATEL method is employed to expose interrelationships between prominent barriers and to provide an overview of the cause-and-effect group.

The outcome of this study can help industry practitioners develop new strategies and plans for blockchain adoption in sustainable supply chains.

The research on the adoption of blockchain technology in sustainable supply chains is still evolving. This study contributes to the ongoing debate by exploring how practitioners and decision-makers adopt blockchain technology, developing strategies and plans in the process.

Modern technologies are seen as an essential component of the fourth industrial revolution (industry 4.0) and their adoption is vital to transform the existing manufacturing system into industry 4.0-based manufacturing system. Therefore, the primary objective of this research explores the barriers of modern technology adoption and their mitigating solutions in order to align with Industry 4.0 objectives.

Barriers to adopting modern technologies and respective mitigating solutions are identified from the available literature. Further, these barriers are ranked with the help of expert opinions by using the BWM method appropriately. The identified solutions are ranked using the combined compromise solution (CoCoSo) method.

Several modern technologies and their capabilities are recognised to support the industry 4.0-based manufacturing systems. This study identifies 22 barriers to the effective adoption of modern technologies in manufacturing and 14 solutions to overcome these barriers. Change management, the high initial cost of technology and appropriate support infrastructure are the most significant barriers. The most prominent solutions to overcome the most considerable barriers are ‘supportive research, development and commercialisation environment’, ‘updated policy and effective implementation’ and ‘capacity building through training’ that are the top three solutions that need to be addressed.

The barriers and solutions of modern technology adoption are obtained through a comprehensive literature review, so there is a chance to ignore some significant barriers and their solutions. Furthermore, ranking barriers and solutions is done with expert opinion, which is not free from biases.

This identification and prioritisation of barriers will help managers to understand the barriers so they can better prepare themselves. Furthermore, the suggested solutions to overcome these barriers are helpful for the managers and could be strategically adopted through optimal resource utilisation.

This study proposes a framework to identify and analyse the significant barriers and solutions to adopting modern technologies in the manufacturing system. It might be helpful for manufacturing organisations that are willing to transform their manufacturing system into industry 4.0.

Under the current untrusted business environment, digital technologies, such as blockchain technology (BT), show the potential to digitally transform SC processes particularly the sourcing process (SP). Indeed, this process suffers from a lack of digitalization, a lack of trust and a high workload in the automotive supply chain (ASC). Therefore, BT coupled with smart contracts can deal with such issues by fostering trust, transparency, reliability and traceability as a digital solution.

This paper conducts multiple case studies in the automotive sector and interviews 11 managers from two firms. It follows the managers’ perspective to identify and analyze the main issues that occurred while conducting this process using the existing technology.

It proposes a new architecture for the smart sourcing process (SSP) that uses BT & smart contracts to mitigate the identified issues, enable traceability, improve resilience, eliminate intermediaries, automate tasks, and enhance trust and data management. Also, the paper provides a decision tree to help determine which blockchain platform is needed for adopting the SSP solution.

This study is useful for both academics and practitioners as it demonstrates the digitalization of one of the SC processes using BT and smart contracts, as well as develops a roadmap for digitalizing the SP of the ASC, and solves its vulnerabilities.

BT has been used by researchers to digitalize the sourcing process only in the public procurement area. Considering all the faced challenges by the private procurement area, this paper aims to present a new architecture for the digitalization of the SP using BT and smart contracts in the ASC as a private SC.