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The credit of agricultural product quality and safety reflects the ability of the main actors involved in the supply chain to provide reliable agricultural products to consumers. To fundamentally solve the problem of agricultural product quality and safety, it is worth studying how to make the credit awareness and integrity self-discipline of the supply chain agriculture-related subjects strengthened and the role and value of credit supervision given full play. Starting from the application of blockchain in the agricultural product supply chain, this paper aims to investigate the main factors affecting the credit regulation of agricultural product quality.

Using the DEMATEL-ISM (decision-making trial and evaluation laboratory–interpretative structural modeling) method, we analyze the credit influencing factors of agricultural quality and safety empowered by blockchain technology, find the causal relationship between the crucial influencing factors and deeply explore the hierarchical transmission relationship between the influencing factors. Then, the path analysis in structural equation modeling is utilized to verify and measure the significance and effect value of the transmission relationship among the crucial influencing factors of credit regulation.

The results show that the quality and safety credit regulation of agricultural products is influenced by a combination of direct and deep influencing factors. Long-term stable cooperative relationship, Quality and safety credit evaluation, Supply chain risk control ability, Quality and safety testing, Constraints of the smart contract are the main influence path of blockchain embedded in agricultural product supply chain quality and safety credit supervision.

Credit supervision is an important means to improve the ability and level of social governance and standardize the market order. From the perspective of blockchain embedded in the agricultural supply chain, the regulatory body is transformed from the product body to the supply chain body. Take the credit supervision of supply chain subjects as the basis of agricultural product quality supervision. With the help of blockchain technology to improve the effectiveness of agricultural product quality and safety credit supervision, credit supervision is used to constrain and incentivize the behavior of agricultural subjects.

Climate change is a problem that concerns all of us. Despite the information produced by organizations such as the Expert Team on Climate Change Detection and Indices and the United Nations, only a few cities have been planned taking into account the climate changes indices. This paper aims to study climatic variations, how climate conditions might change in the future and how these changes will affect the activities and living conditions in cities, specifically focusing on Mexico city.

In this approach, two distinct machine learning regression models, k-Nearest Neighbors and Support Vector Regression, were used to predict variations in climate change indices within select urban areas of Mexico city. The calculated indices are based on maximum, minimum and average temperature data collected from the National Water Commission in Mexico and the Scientific Research Center of Ensenada. The methodology involves pre-processing temperature data to create a training data set for regression algorithms. It then computes predictions for each temperature parameter and ultimately assesses the performance of these algorithms based on precision metrics scores.

This paper combines a geospatial perspective with computational tools and machine learning algorithms. Among the two regression algorithms used, it was observed that k-Nearest Neighbors produced superior results, achieving an R² score of 0.99, in contrast to Support Vector Regression, which yielded an R² score of 0.74.

The full potential of machine learning algorithms has not been fully harnessed for predicting climate indices. This paper also identifies the strengths and weaknesses of each algorithm and how the generated estimations can then be considered in the decision-making process.

Lean Six Sigma (LSS) implementation follows a structured approach called define-measure-analyze-improve-control (DMAIC). Earlier research about its application in emergency healthcare services shows that it requires organizational transformation, which many healthcare setups find difficult. The Kotter change management model facilitates organizational transformation but has not been attempted in LSS settings till now. This study aims to integrate the LSS framework with the Kotter change management model to come up with an integrated framework that will facilitate LSS deployment in emergency health services.

Two-stage Delphi method was conducted by using a literature review. First, the success factors and barriers of LSS are investigated, especially from an emergency healthcare point of view. The features and benefits of Kotter's change management models are then reviewed. Subsequently, they are integrated to form a framework specific to LSS deployment in an emergency healthcare set-up. The elements of this framework are analyzed using expert opinion ratings. A new framework for LSS deployment in emergency healthcare has been developed, which can prevent failures due to challenges faced by organizations in overcoming resistance to changes.

The eight steps of the Kotter model such as establishing a sense of urgency, forming a powerful guiding coalition, creating a vision, communicating the vision, empowering others to act on the vision, planning for and creating short-term wins, consolidating improvements and producing still more change, institutionalizing new approaches are derived from the eight common errors that managers make while implementing change in the institution. The study integrated LSS principles and Kotter’s change management model to apply in emergency care units in order to reduce waste and raise the level of service quality provided by healthcare companies.

The present study could contribute knowledge to the literature by providing a framework to integrate lean management and Kotter's change management model for the emergency care unit of the healthcare organization. This framework guides decision-makers and organizations as proper strategies are required for applying lean management practices in any system.

The proposed framework is unique and no other study has prescribed any integrated framework for LSS implementation in emergency healthcare that overcomes resistance to change.

Blockchain is a disruptive technology that has matured to deliver robust, global, IT systems, yet adoption lags predictions. The authors explore barriers to adoption in the context of a global challenge with multiple stakeholders: integration of carbon markets. Going beyond the dominant economic-rationalistic paradigm of information system (IS) innovation adoption, the authors reduce pro-innovation bias and broaden inter-organizational scope by using technological frames theory to capture the cognitive framing of the challenges perceived within the world’s largest carbon emitter: China.

Semi-structured interviews with 15 key experts representing three communities in China’s carbon markets: IT experts in carbon markets; carbon market experts with conceptual knowledge of blockchain and carbon market experts with practical blockchain experience.

Perceived technical challenges were found to be the least significant in explaining adoption. Significant challenges in five areas: social, political legal and policy (PLP), data, organizational and managerial (OM) and economic, with PLP and OM given most weight. Mapping to frames developed to encompass these challenges: nature of technology, strategic use of technology and technology readiness resolved frame incongruence that, in the case explored, did not lead to rejection of blockchain, but a decision to defer investment, increase the scope of analysis and delay the adoption decision.

Increases scope and resolution of IS adoption research. Technological frames theory moves from predominant economic-rational models to a social cognitive perspective. Broadens understanding of blockchain adoption in a context combining the world’s most carbon emissions with ownership of most blockchain patents, detailing socio-technical challenges and delivering practical guidance for policymakers and practitioners.

Despite the unique features and potential applications in various industries, widespread blockchain adoption is hindered for several reasons. One of them is the lack of government regulations regarding blockchain and cryptocurrencies. However, a deliberate preliminary analysis of the policy initiatives by various jurisdictions proved otherwise, and a lack of sound academic literature on the policy initiatives on blockchain worldwide was evident. Addressing this gap, this study aims to summarize the policy initiatives of jurisdictions around the world, assessing if governments do not enact many regulations.

A systematic literature review was adopted in this study, in which the authors shortlisted a set of research papers and policy reports using several selection criteria and a screening process.

It was found that numerous policy initiatives have been enacted by governments worldwide, and blockchain applications are also being piloted or practiced successfully in several nations. It was also evident that governments are reluctant to accept cryptocurrencies as legal tender while embracing their underlying technology, blockchain.

To the best of the authors’ knowledge, this paper appears to be one of the first attempts to summarize the blockchain policy initiatives contributing to the body of knowledge on blockchain adoption.

Drug use in prisons remains a public health concern because it is often the place of drug initiation. The purpose of this study was to analyze the drug use in prison in Burkina Faso.

We conducted cross-sectional study in the prison of Ouagadougou. The adult prisoners (male and female) incarcerated for more than one month at the largest prison of Burkina Faso were included in the study. Participants were selected using a systematic random sampling. Data were collected from October 28 to November 26, 2018. The face-to-face interviews were conducted in the prison grounds. Logistic multivariate regression was used to identify factors associated with in prison drug use. All analysis was done using Stata.

A total of 379 prisoners were included in this study. Approximately one-third inmates (32.71%; n = 124) experienced illicit drug in lifetime. Nearly one-third (28.76%; n = 109) of the prisoners were drug users before incarceration and 11.87% (n = 45) used drug inside the prison, of which 33.33% (n = 15) initiated drug use in the prison. Cannabis was the first drug used by the prisoners (71.11%) followed by tramadol (62.22%), diazepam (13.33%) and cocaine (2.22%). Four prisoners (3.63%) had reported Heroin use before incarceration. Cannabis was mainly smoked. Tramadol, diazepam and amphetamines were swallowed or mixed with food. Cocaine is smoked and snorted. Case of injection of cocaine and heroin was reported before incarceration. Main factors independently associated with drug use in prison is drug use before prison and young age of inmates. Indeed, inmates who had reported drug use before prison had 4.01 time {adjusted odd ratio (AOR: 4.01 [95% CI: 1.91–8.41])} higher odds to use drug in prison.

To conduct the interviews in the prison grounds could be a limitation due to social desirability bias. Indeed, the prisoners may understate drug use in prison for the fear of likely additional sentence. Availability of biological tests for drug markers might help addressed this bias. Nevertheless, the findings of this study should help to plan effective drug use prevention and care programs for prisoners.

The actions must include the implementation of a medical and psychological care in continuum of healthcare system in Burkina Faso. This system should include screening at entry and adequate health and psychological care in prison for drug users for an effective control of drugs use in prison.

Most of these drug users in prison have a low level of education and are unemployed. Education activities and training on occupational activities to prepare drug users for a successful social reintegration less dependent on drugs is essential. This study can be a basis to explore more possibilities and find out what is available to help those with substance use disorder, manage these cases in prison and prevent relapse on release.

To the best of the authors’ knowledge, this study is the first study on drug use in prison in Burkina Faso. It indicates that the repressive strategy against drug use seems ineffective because former users continue their consumption inside and also new users are initiated to use drugs in prison.

This study aims to analyze corporate mail and wire fraud penalties, using bounded rationality in decision-making and assessing internal and external influences on prosecutorial choices.

The study analyzed 467 cases from 1992 to 2019, using data from the Corporate Prosecution Registry of the University of Virginia School of Law and Duke University School of Law. It examined corporations facing mail and wire fraud charges and other fraud crimes. Multiple regression linked predictor variables to the dependent variable, total payment.

The study found that corporate penalties tend to be lower for financial institutions or corporations in countries with US free trade agreements. Conversely, penalties are higher when the company is a U.S. public company or filed in districts with more pending criminal cases.

This study’s originality lies in applying the bounded rationality model to assess corporate prosecutorial decisions, unveiling external factors’ influence on corporate penalties.

The implementation of the Directive 2015/849 of the European Parliament and of the Council of 20 May 2015 on the prevention of the use of the financial system for the purposes of money laundering or terrorist financing resulted in the enactment by the Polish Parliament of the Act of March 1, 2018, on the prevention of money laundering and terrorist financing. One of the most important issues identified in the Act was the establishment of the Central Register of Beneficial Owners. The purpose of this paper is to critically analyze the functioning of the Register in Poland from the perspective of three years since its establishment. The text presents the most important problems faced by reporting institutions and obliged entities due to discrepancies in the interpretation of the Act’s provisions – especially in terms of the definition of a beneficial owner.

The basic research approach was a comparative content analysis method. The objects of analysis included Polish Laws, Directive of the European Parliament and the Council (EU) 2015/849 and the judgment of the Court of Justice of the European Union. The theoretical legislative assumptions contained in the Acts were compared with reports, studies and communications prepared by public and private institutions. This made it possible to draw conclusions regarding the causes of problems with the functioning of the Register in Poland.

The results of the research showed that the ambiguity of the definition of the beneficial owner leads to a number of problems on the part of reporting institutions, such as companies, foundations and associations. On the other hand, a large part of the data entered in the Register is questioned by obliged entities. The lack of personal data protection is also a problem. Consequently, this reduces the value of the Register as a tool that effectively mitigates the risk of money laundering.

The research focused only on the functioning of the Central Register of Beneficial Owners in Poland. The subject of the analysis addressed problems with the definition of beneficial owner, issues of data quality and openness and the process of verifying the Register’s data. The technical aspects of the Register operation and the financial penalties imposed by public oversight institutions were not reviewed. Also, no comparison was made with other European Union (EU) member states that have implemented Directive of the European Parliament and of the Council (EU) 2015/849.

This study discusses the important issue of regulatory requirements introduced under EU regulations for private companies. Familiarization of companies, NGOs and obliged entities with the conclusions of the study can positively influence the consolidation of the correct interpretative path. In addition, to the best of the author’s knowledge, this is the first scientific text that identifies and systematizes the most important problems of the Register’s functioning in Poland.

Challenges of property data in developing markets have been reported by several authors. However, a deep understanding of the actual nature of this phenomenon in developing markets is largely lacking as in-depth studies into the actual nature of data challenge in such markets are scarce in literature. Specifically, the available literature lacks clarity about the actual nature of data challenges that developing markets pose to valuers and how this affects valuation practice. This study provides this understanding with focus on the Lagos property market.

This study utilises a qualitative research approach. A total of 24 valuers were selected using snowballing sampling technique, and in-depth semi-structured interviews were conducted. Data collected were analysed using thematic analysis with the aid of NVivo 12 software.

The study finds that the main data-related challenge in the Lagos property market is the lack of database of market property transactions and not the lack or absence of transaction data as it has been emphasised in previous studies. Other data-related challenges identified include weak property rights institution with attendant transaction costs, underhand dealings among professionals, undocumented charges, undisclosed information, scarcity of data relating to specialised assets and limited access to the subject property and required documents during valuation. Also, the study unbundles the factors responsible for these challenges and how they affect valuation practice.

The study has implication for practice in the sense that the deeper knowledge of data challenges could provide insight into strategy to tackle the challenges.

This study contributes to the body of knowledge by offering a fresh and in-depth perspective to the issue of data challenges in developing markets and how the peculiar nature of the real estate market affects the nature of data challenges. The qualitative approach adopted in this study allowed for a deep enquiry into the phenomenon and resulted into an extended insight into the peculiar nature of data challenges in a typical developing property market.

Research shows that the physical locations of correctional facilities often contribute to environmental hazards. Research also shows that correctional facilities are often sited near hazardous or undesirable land(s). In combination, incarcerated individuals may be at increased risk of experiencing negative health consequences because of exposure to various environmental harms. This is especially alarming as incarcerated individuals lack the capacity to decide where they are detained. In these cases, health issues that may have developed while detained may extend beyond incarceration. Furthermore, incarcerated individuals are not protected by the Environmental Protection Agency’s Environmental Justice policies.

Using a case study approach, the authors examine two specific correctional facilities in the USA to not only demonstrate the various environmental harms that incarcerated individuals encounter but also highlight carceral spaces as sites of environmental violations.

Additionally, the authors address the negative health consequences incarcerated individuals report because of exposure to these harms. They also argue that creating safer communities requires more than reducing crime and preventing criminal victimization. Creating safer communities also includes promoting environmental safety and protection from hazards that cause sickness and disease.

This work contributes to an emerging and growing body of literature that examines the intersection of carceral studies and environmental justice.