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A hypothesis developed in this paper models the relationship between the borrower and the bank as a dynamic game based on incomplete information (business game) and seeks an equilibrium point at which the facilitated applicant can act according to the terms of the loan agreement once the contract is signed and meet the requirements of the contract.

The primary assumption in the formation of the Islamic bank in Islamic society is that the members of the society are Muslims and act according to religious orders. However, the non-fulfillment of divine principles and orders is always possible. In partnership agreements, the risk of infringement is reduced and corrupt contracts are prevented in some circumstances. Our basic model was constructed using the Beer-Quiche classic game, which has been modified dynamically along with a generalization of complexity terms. The information asymmetry led us to use a heterogeneous belief system to evaluate the probability of the customer transmitting a low credit risk signal to the bank and the probability of the customer transmitting a high credit risk signal to the bank. There are several assumptions of the basic model that are released in the extended model by the presence of a social inspector, by exploring credit risk signals in the generalized model and by considering various commitment levels in the comprehensive model.

As a result, it is observed that there is no Nash equilibrium in cases where the customer applies separation strategies. But if the pulling strategies are applied, the Nash equilibrium can be achieved under certain conditions, including inspection bodies in the banking system, the creation of necessary transparency and the proper treatment of criminals by government and regulatory bodies. So, by using alternative belief systems, applying different filters and paying attention to all sectors of the economy, new Nash equilibrium points can be achieved. Moreover, multi-stage facilities payment reduces the risk of corrupt contracts.

This paper sets out to analyze Nash Equilibrium and its possible encounter in Islamic Banking for the first time, utilizing a Bayesian Game-Theoretic framework. A major aspect of the research is the contribution to a better understanding of the role of transparency and government oversight in the implementation of Islamic banking regulatory standards.

With the emergence of digital twins, the construction industry is looking toward improving the inspection and maintenance of all kinds of assets, such as bridges, roads and utilities. The purpose of this paper is to provide insights into how the development of an interactive digital twin creates a variety of interactions between users of this technology and assets to be monitored.

The development of a digital twin inspection model, focusing on the specific case of a sewage pumping station, is chosen as the subject of a case study. Through the development of this model, this study explores the various user–technology interactions that can be designed in a digital twin context.

Users interact with digital twins by following virtual instructions in a certain way, which creates a “quasi-other” relationship. A digital twin based on virtual reality (VR) also make users feel as if they are within the created VR of an inspection site, thereby immersing them in the VR environment. The design of a VR-based digital twin, which is determined by decisions made during the development process, shapes the context in which users interact with the technology and assets.

This study shows that a digital twin in construction practice may play different “actant” roles having different types of influences. Analyzing these actant roles and influences in terms of force and visibility adds a new perspective on the interaction between users and digital twins in construction and asset monitoring practice.

This paper explores the challenging nexus of police custody, risk and intra-organisational boundaries in the context of a recently reformed national police service. Police custody is an often-hidden aspect of policing, away from the public gaze and scrutiny. Although there is increasing recognition of the importance of rural policing (e.g. Harkness (2020); Mawby and Yarwood (2011); Ruddell and Jones (2020); Yarwood and Wooff (2016)), there has been little or no focus on rural police custody. This paper seeks to begin to redress this by focussing on the challenges faced by rural police custody in the context of large-scale organisational change.

This paper draws on data from a study funded by the Scottish Institute for Policing Research (2016–2018), entitled “Measuring Risk and Efficiency in Police Custody in Scotland”. The paper adopts a qualitative methodology to develop an understanding of the varying nature of police custody across Scotland. Two contrasting case study locations were selected, one urban and one rural. 12 semi-structured interviews and 15 hours of observation were carried out. Data was transcribed, coded and analysed and thematic analysis enabled themes to be developed. This paper draws on the data from the rural custody suite.

Drawing on the theoretical framework of Giacomantonio (2014) and more recent considerations of abstract policing Terpstra et al. (2019), this paper offers insights into the ways that police custody in rural Scotland has been organised, against the backdrop of challenging organisational change. I argue that as policing services in Scotland have become increasingly “abstract” from communities, police custody as a national division has witnessed the impact of this more greatly than other parts of local policing. Intra-organisational management around staffing has led to complex management of risk, illustrating some of the challenges of national organisational change on police custody.

This paper focuses on the impact of large scale organisational change on rural police custody and intra-organisational relationships and dynamics. Rural policing is still a largely neglected area of study and rural police custody is even less understood. This paper therefore provides an original contribution by focusing on this under-researched area of policing. It also illustrates complexity around risk, staffing and management of people being held in rural police custody suites. It is therefore of value to policing scholars in other contexts, as well as rural criminology more generally. It has applicability to international contexts where macro level policing reform is occurring.

This research aims to develop a blockchain smart contract–enabled framework to resolve power imbalance problems in construction payment.

This research adopts a design science research method to develop the blockchain smart contract–enabled framework. The authors then develop a prototype system. Finally, the authors evaluate its performance in solving power imbalance-induced payment problems.

The results show that the prototype system can resolve power imbalance problems in construction payment by allowing project participants to make transparent and decentralized decisions that are self-enforceable by blockchain smart contracts.

This study provides theoretical explanations for how blockchain smart contracts can resolve power imbalances in construction payment; based on that, it proposes a novel blockchain smart contract–enabled method to rebalance the power of stakeholders in construction payment. Thus, it contributes to the body of knowledge on blockchain technology and construction payment.

This study moves beyond a conceptual framework and develops a practical blockchain smart contract system for resolving power imbalances in construction payment, strengthening construction project members' confidence in using blockchain technology.

The proposed blockchain smart contract–enabled solution helps mitigate negative social impacts associated with late payment and non-payment. Furthermore, the research maximizes trust among participants in payment processes to inspire collaborative culture in the construction industry.

This paper introduces a novel blockchain smart contract integrated method, allowing project stakeholders to resolve power imbalance problems in construction payment through decentralized decision-making.

This paper covers the development of a novel defect model for concrete highway bridges. The proposed defect model is intended to facilitate the identification of bridge’s condition information (i.e. defects), improve the efficiency and accuracy of bridge inspections by supporting practitioners and even machines with digitalised expert knowledge, and ultimately automate the process.

The research design consists of three major phases so as to (1) categorise common defect with regard to physical entities (i.e. bridge element), (2) establish internal relationships among those defects and (3) relate defects to their properties and potential causes. A mixed-method research approach, which includes a comprehensive literature review, focus groups and case studies, was employed to develop and validate the proposed defect model.

The data collected through the literature and focus groups were analysed and knowledge were extracted to form the novel defect model. The defect model was then validated and further calibrated through case study. Inspection reports of nearly 300 bridges in China were collected and analysed. The study uncovered the relationships between defects and a variety of inspection-related elements and represented in the form of an accessible, digitalised and user-friendly knowledge model.

The contribution of this paper is the development of a defect model that can assist inexperienced practitioners and even machines in the near future to conduct inspection tasks. For one, the proposed defect model can standardise the data collection process of bridge inspection, including the identification of defects and documentation of their vital properties, paving the path for the automation in subsequent stages (e.g. condition evaluation). For another, by retrieving rich experience and expert knowledge which have long been reserved and inherited in the industrial sector, the inspection efficiency and accuracy can be considerably improved.

Although many health and safety (H&S) studies have widely examined safety risk perception in the construction industry, few studies have explored how this perception influences site workers' risk-taking behaviours during construction. This study aims to examine how construction site workers perceive and judge safety risks in risk-taking behaviours of site workers for intervention safety policy framework that may encourage safe work.

The study employed Pictorial-based Q-Methodology, which documented 63 picture scenarios of risk-taking behaviours from building sites and submitted them for validation from H&S inspectors. In total, 33 pictures emerged as having great potential to cause harm. After using these 33 pictures to elicit data from randomised site workers, the study used Frequency Tabulation, Relative Importance Index (RII) and Kruskal–Wallis Test to analyse the collected data. To fully explain the analysed data for deeper understanding, the study conducted Focus Group Discussions (FGDs) with these site workers to share the thoughts of site workers on these pictures.

Two distinctive pictures emerged from these analyses: one showing risk-taking behaviour likely to contract internal and skin disease and the other likely to fall from height. One of the implications is that construction site workers are unfamiliar with the dangerous contaminants in the materials the site workers use to work, which can potentially harm the site workers' skin and internal organs. Hence, site workers continue engaging in risk-taking behaviours. The other is that site workers are aware of and can mention catastrophic physical injuries attached to site workers' jobs. However, site workers continue engaging in risk-taking behaviours because of site workers' safety plights and rely on the favour and mercies of a supreme being as coping strategies to escape from these physical injuries.

This study is original in that the study uses picture scenarios of risk-taking behaviours to amass an empirical-based understanding of how site workers perceive and respond to H&S risks during construction. This piece of evidence is missing in the numerous research studies in this area. Again, the findings contribute to the state-of-the-art literature regarding risk-taking behaviours on construction sites.

Drawing on the international business and game theory literature, this study assesses foreign firm treatment in the early stages of regulatory enforcement.

Treating regulation intensity as an exposure variable, negative binomial regression models were applied to firm-level data from 32 emerging markets (n = 15,331) to identify the determinants of inspection interactions. Robustness checks also were performed via variable substitutions for several predictors and an alternative form of statistical testing (i.e. Tobit regression, since it arguably better addresses dependent variables with corner solution responses).

Controlling for multiple organizational, regulatory and national characteristics, the findings are consistent with a foreign privilege, manifesting in reduced vulnerability to multiple encounters with labor inspection officials. Moreover, inward FDI stock was negatively related to the general probability of repeat interactions regardless of locus of ownership, an effect that was not moderated by stage of development or the regulatory influence of host interest groups. This collectively suggests that foreign firms not only are favored in compliance monitoring but also work post-entry to influence agencies to generally benefit business.

More comprehensive assessments were precluded given the lack of information on reasons for contact, citations and fines, and inspectorate reactions to company responses. Second, enforcement-risk management was measured indirectly since investors' internal dealings and actions toward officials are unavailable in secondary sources.

These findings have important implications for social responsibility, suggesting CSR stakeholders need to track enforcement more closely and exert pressure where needed so rights are not sacrificed for economic development.

This study provides the most rigorous assessment to date of the role that firm, government and economic factors play in national inspection targeting. It also examined whether foreign owners pool and leverage their political influence to impact general inspection activity, a previously untested prospect.

The shipbreaking sector in Bangladesh has spurred extensive academic and policy debates on relations between shipbreaking industries, environmental degradation and the health security of their workers. As shipbreaking is an economically significant industry in Bangladesh, it needs to implement both domestic and global mechanisms for environmental conservation and the protection of the labourers’ health from environmental risks. The purpose of this paper is to primarily explore the environmental and health security issues in shipbreaking activities in Bangladesh. It also identifies the challenges in implementing the rules and regulations for protecting the health of the workers at shipbreaking yards in Bangladesh and preserving the marine environment.

This is a qualitative paper based on secondary materials, including journal articles, books and national and international reports. It critically reviews the existing literature, rules, regulations and policing on shipbreaking with a particular focus on the environment and health security of the workers.

This paper finds that the implementation of the rules and regulations in shipbreaking in Bangladesh is complicated because of weak implementation mechanisms, political and economic interests of the yard owners, lack of coordination among different agencies, lack of adequate training and awareness among the workers and workers’ poor economic condition, which contribute to the degradation of marine and local environments and trigger health hazards among the workers. Therefore, degrading the environment and undermining occupational health and safety regulations have become regular; thus, accidental death and injury to the workers are common in this sector.

This paper is an important study on the issues of workers' health and safety and environmental hazards in the shipyard. It reports how the health security of the workers in shipbreaking yards in Bangladesh is vulnerable, and environmental rules are challenged. Finally, this paper frames some policy implications to safeguard the workers’ health rights and the marine environment.

With a historic lack of attention to synthesis methods such as systematic review and meta-analysis and a lack of randomised controlled trials, the evidence base for behavioural interventions for children and adults who are autistic or are diagnosed with developmental disabilities is patchy. The Sharland Foundation Developmental Disabilities Applied Behavioural Research and Impact Network (SF-DDARIN), a network of like-minded researchers and practitioners across the UK, aims to address this. The purpose of this paper is to describe the network’s work and provide the context for the remaining articles in the special issue that exemplify network projects.

In this case study paper, the authors describe how the SF-DDARIN works and is resourced, detailing the process used to maximise research opportunities by facilitating network members working together. The authors outline the progressive research steps that the SF-DDARIN has identified are needed to develop and improve the evidence base for behavioural interventions systematically and, with examples, describe how the network delivers these steps.

Since its establishment in 2016, the SF-DDARIN network members have collectively worked on more than 53 projects involving over 50 researchers, had over 120 special schools contribute to projects and have recruited over 500 participants. This has been achieved through funding from the Sharland Foundation, primarily to cover the staffing costs of a small support team and internship partnerships with external organisations. Some projects have attracted external funding.

SF-DDARIN may provide an innovative, effective and resource-efficient model for other groups seeking to develop and extend their evidence base in developmental disability research.

Automation of detecting cracked surfaces on buildings or in any industrially manufactured products is emerging nowadays. Detection of the cracked surface is a challenging task for inspectors. Image-based automatic inspection of cracks can be very effective when compared to human eye inspection. With the advancement in deep learning techniques, by utilizing these methods the authors can create automation of work in a particular sector of various industries.

In this study, an upgraded convolutional neural network-based crack detection method has been proposed. The dataset consists of 3,886 images which include cracked and non-cracked images. Further, these data have been split into training and validation data. To inspect the cracks more accurately, data augmentation was performed on the dataset, and regularization techniques have been utilized to reduce the overfitting problems. In this work, VGG19, Xception and Inception V3, along with Resnet50 V2 CNN architectures to train the data.

A comparison between the trained models has been performed and from the obtained results, Xception performs better than other algorithms with 99.54% test accuracy. The results show detecting cracked regions and firm non-cracked regions is very efficient by the Xception algorithm.

The proposed method can be way better back to an automatic inspection of cracks in buildings with different design patterns such as decorated historical monuments.