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Annual influenza epidemics cause great losses in both human and financial terms. The purpose of this paper is to propose a model for optimizing a large-scale influenza vaccination program (VP). The goal is to minimize the total cost of the vaccination supply chain while guaranteeing a sufficiently high level of population protection. From a practical point of view, the analysis returns the number of shipments and the quantity of vaccines in each periodic shipment that should be delivered from the manufacturers to the distribution center (DC), from the DC to the clinics, and from the clinics to each sub-group of customers during the vaccination season.

A mixed-integer programming optimization model is developed to describe the problem for a supply chain consisting of vaccine manufacturers, the healthcare organization (HCO) (comprising the DC and clinics), and the population being vaccinated (customers). The model suggests a VP that implemented by a nation-wide HCO.

The benefits of the proposed approach are shown to be particularly salient in cases of limited resources, as the model distributes demand backlogs in an efficient manner, prioritizing high-risk sub-groups of the population over lower-risk sub-groups. In particular, the authors show a reduction in direct medical burden of consumers, such as the need for doctors, hospitalization resources, and reduction of indirect, non-medical burden, such as loss of workdays.

Drawing from the extended enterprise paradigm, and, in particular, taking consumer benefits into account, the authors suggest an operational-strategic model that creates impressive added value in a highly constrained supply chain. The model constitutes a powerful decision tool for the deployment of large-scale seasonal products, and its implementation can yield multiple benefits for various consumer segments.

The model proposed herein constitutes a decision support tool comprising operational-tactical and tactical-strategic perspectives, which logistics managers can utilize to create an enterprise-oriented plan that takes into account medical and non-medical costs.

Understanding diversity amongst potential beneficiaries of land redistribution is of critical importance for both design and planning of successful land reform interventions. This study seeks to add to the existing literature on farming types, with specific emphasis on understanding diversity within a sub-group of commercially oriented or emerging smallholders.

Using a multivariate statistical analysis – principal component and cluster analyses applied to a sample of 442 commercially-oriented smallholders – five distinct clusters of emerging farmers are identified, using variables related to farmers' characteristics, income and expenditure and farm production indicators and willingness to participate in land redistribution. The five clusters are discussed in light of a predefined selection criteria that is based on the current policies and scholarly thinking.

The results suggest that there are distinct differences in farming types, and each identified cluster of farmers requires tailored support for the effective implementation of land reform. The identified homogenous sub-groups of smallholders, allows us to understand which farmers could be a better target for a successful land redistribution policy.

Most of the existing typology studies in South Africa tend to focus on general smallholders and in the Eastern Cape province; this study extends the literature by focussing on specific prime beneficiaries of land reform in three provinces. This study uses a more detailed dataset than the Statistics general and agricultural household surveys.

Since works-in-process (WIPs) are highly vulnerable to defects because of the variety and complexity of manufacturing processes, the purpose of this paper is to describe how to utilize existing analytics techniques to reduce defects, improve production processes, and reduce the cost of operations.

Three alternatives for diagnosing causes of defects and variations in the production process are presented in order to answer the following research question: “What are the most important factors to be included in prognostic analysis to prevent defects?”

The key findings for the proposed alternatives help explain the characteristics of defects that have a great impact on manufacturing yield and the quality of products. Consequently, any corrective action and preventive maintenance addressing the common causes of defects and variations in the process can be regularly evaluated and monitored.

Although the focus of this study is on improving shop-floor operations by reducing defects, further experimentation with business analytics in other areas such as machine utilization and maintenance, process control, and safety evaluation remains to be done.

This study has been validated with several scenarios in a manufacturing company, and the results demonstrate the practical validity of the approach, which is equally applicable to other manufacturing sub-sectors.

This study is different from the others by providing alternatives for diagnosing the root causes of defects. Control charts, costs of defects, and clustering-based defect prediction scores are utilized to reduce defects. Additionally, the key contribution of this study is to demonstrate different methods for understanding WIP behaviors and identifying any irregularities in the production process.

Aviation has multi-cultural business environment in all aspects as operational and management. Managing aviation requires high awareness on human factor risk which includes organizational behavior-related topics. The greatest risk to an enterprise’s ability to achieve its strategic goals and objectives is the human factor. Both organizational behavior and corporate culture behavior with social psychology are the most vital aspects of management and strategy in terms of human resources. Related risks, including organizational behavior and culture, have the potential to directly impact on both business performance and corporate sustainability. Therefore, in this paper, the most prominent risks were determined in accordance with social psychology, and after identification of human factor-based risks, these have prioritized and prepared risk mapping with fresh approach. For this reason, this study aims to develop risk mapping model for human factors that takes into account interrelations among risk factors three dimensional based new approach. This approach includes both identification of human factor based risks, prioritization them and setting risk mapping according to corporate based qualifications via tailoring risk list. Developed risk map in this paper will help to manage corporate risks to achieve improved performance and sustainability.

This new organizational behavior- and culture-focused risk mapping model developed in this study has the potential to make significant contribution to the management of the human factor for modern management and strategy. In enterprise risk management system, risk mapping is both strong and effective strategic methodology to manage ergonomics issue with strategic approach. Human factor is both determinative and also strategic element to both continuity and performance of business operations with safely and sound. In view of management and strategy, vitally, the human factor determines the outcome in both every business and every decision-making.

It is assumed that, if managers manage human risk you may get advantages to achieving corporate strategies in timely manner. Aviation is sensitive sector for its ingredients: airports, airlines, air traffic management, aircraft maintenance, pilotage and ground handling. Aim of this paper is to present risk management approach to optimize human performance while minimizing both failures and errors by aircraft maintenance technician (AMT). This model may apply all human factors in other departments of aviation such as pilots and traffic controllers. AMT is key component of aircraft maintenance. Thus, errors made by AMTs will cause aircraft accidents or incidents or near miss incidents. In this study, new taxonomy model for human risk factors in aircraft maintenance organizations has been designed, and also new qualitative risk assessment as three dimensions is carried out by considering the factors affecting the AMT’s error obtained from extensive literature review and expert opinions in the field of aviation. Human error risks are first categorized into two main groups and sub three groups and then prioritized using the risk matrix via triple dimension as probability, severity and interrelations ratio between risks.

Risk mapping is established to decide which risk management option they will apply for managers when they will look at this map. Managers may use risk map to both identify their managerial priorities and share sources to managing risks, and make decisions on risk handling options. This new model may be a useful new tool to manage ergonomic human factor-based risks in developing strategy in aviation business management. In addition, this paper will contribute to department of management and strategy and related literature.

This study has originality via new modeling of risk matrix. In this study, dimension of risk analysis has been improved as three dimensions. This study has new approach and new assessment of risk with likelihood (probability), impact (severity) and interrelations ratio. This new model may be a useful new tool to both assess and prioritize mapping of ergonomic-based risks in business management. In addition, this research will contribute to aviation management and strategy literature and also enterprise risk management literature.

The purpose of this study is to examine the latent structure of stalking. Stalking can be defined as a pattern of repeated and unwanted behaviours that cause another person to be afraid. The consequences for the victims can be severe and potentially happen over a long period of time. While stalking is considered as a taxon, empirical evidence and an absence of pathognomonic criteria point towards a dimensional structure.

The aim of this study is to examine the latent structure of stalking using taxometric analyses on the Severity of Stalking Behaviours Scale. Analyses were conducted on a sample of N = 1,032 victims’ accounts, who had contacted the National Stalking Helpline in the UK.

Taxometric analyses revealed that stalking presents a dimensional structure, and no taxonic peaks emerged. The results were consistent across analyses (MAMBAC, MAXEIG and L-Mode), indicators (CCFI, curves) and measures (items, factors).

A dimensional structure implies that individual variation is a matter of intensity, and the present results suggest that the conceptualization of stalking should be modified. Understanding stalking from a dimensional perspective provides support to study stalking in non-clinical populations. Scales that measure stalking should provide discrimination along the entire continuum rather than focusing on putative taxonic boundaries and arbitrary threshold.

This paper is proposing the first set of taxometric analyses on stalking. The results are providing empirical support to the idea that stalking exists on a continuum. It also strengthened the validity of previous findings in non-clinical populations and their applications all along the continuum, including with clinical populations.

Over the last 10 years, small- and medium-sized enterprises (SMEs) in developed countries have faced increasingly stiff competition in their local markets, which has put the survival of many of them at risk. To reduce their vulnerability, many SMEs have targeted sales to other countries. Recently, however, the pace and intensity of these firms’ export activities appear to have decreased, as their traditional markets (i.e., the United States and Europe) have been experiencing slow growth. This situation has led some SMEs to explore the possibility of exporting to less traditional countries presenting more opportunities. However, a good number of entrepreneurs remain hesitant to go down this road, in particular given the uncertainty that prevails in those regions and the risks they represent in terms of exports. This study, which was conducted with a sample of 582 Canadian manufacturing SMEs, reveals that two characteristics help explain the fact that some SMEs choose to export to higher risk countries, more specifically to Asia. These characteristics are a positive attitude towards risk-taking among managers and the implementation of certain risk management mechanisms.

Despite rapid success in bringing SARS-CoV-2 vaccines to distribution by multiple pharmaceutical corporations, supply chain failures in production and distribution can plague pandemic recovery. This review analyzes and addresses gaps in modeling supply chain resilience in general and specifically for vaccines in order to guide researchers and practitioners alike to improve critical function of vaccine supply chains in the face of inevitable disruptions.

Systematic review of the literature on modeling supply chain resilience from 2007 to 2020 is analyzed in tandem with the vaccine supply chain manufacturing literature. These trends are then used to apply a novel matrix analysis to seven Securities and Exchange Commission (SEC) annual filings of pharmaceutical corporations involved in COVID-19 vaccine manufacture and distribution.

Pharmaceutical corporations favor efficiency as they navigate regulatory, economic and other threats to their vaccine supply chains, neglecting resilience – absorption, adaptation and recovery from inevitable and unexpected disruptions. However, explicitly applying resilience analytics to the vaccine supply chain and further leveraging emerging network science tools found in the academic literature, such as artificial intelligence (AI), stress tests and digital twins, will help supply chain managers to better quantify efficiency/resilience tradeoffs across all associated networks/domains and support optimal system performance post disruption.

This is the first review addressing resilience analytics in vaccine supply chains and subsequent extension to operational management through novel matrix analyses of SEC Filings. The authors provide analyses and recommendations that facilitate resilience quantification capabilities for vaccine supply chain managers, regulatory agencies and corporate stakeholders and are especially relevant for pandemic response, including application to the SARS-CoV-2 vaccines.

Although globally, prisoners are considered one of the vulnerable groups to tuberculosis (TB), little is known about the situation of TB in prison setting in Japan. The purpose of this paper is to examine the characteristics of TB among prisoners in Japan.

Records of TB patients from one medical prison were analyzed in terms of general demographic characteristics, clinical manifestations, risk factors and delay in diagnosis and in initiating treatment, and compared with data from the national TB surveillance and other published data on health of inmates, where appropriate. Continuous variables were compared using student independent samples t-test. Proportions were compared using χ² or Fisher exact test as appropriate. Kaplan–Meier survival analysis was conducted to determine the time from entry to prison institution to diagnosis of TB.

A total of 49 patients were analyzed. The mean age was 49.5 (±14.3) and 69.4 percent were males. Being unemployed and homeless prior to incarceration, and several co-morbidities were potential risk factors for TB (p<0.01). Analysis of diagnosis and treatment delay showed that 16.1 percent of smear positive patients took more than a week to be placed on treatment after being diagnosed of TB. Approximately 50 percent of the patients were diagnosed within four months of entering the prison institution.

Several potential risk factors identified suggest the need to strengthen screening for specific sub-groups within the prison population, such as those with poor socio-economic status and co-morbidities, as well as to consider the possible role of systematic screening for latent TB infection.

This study presents some important data to help understand the profile of TB patients in prisons in Japan, as well as showing that a detailed epidemiological analysis of existing records can provide useful insight.

Current research on mental health in the construction industry is fragmented, making it difficult to obtain a complete picture of young construction workers’ mental health conditions. This situation adversely affects research progress, mental health-care planning and resource allocation. To address this challenge, the purpose of this paper was to identify the themes of mental health conditions among young construction workers and their prevalence by geographical location.

The scoping review was conducted using meta-aggregation, guided by the CoCoPop (condition [mental health], context [construction industry] and population [construction workers 35 years old and younger]) and PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for scoping reviews) frameworks.

A total of 327 studies were retrieved, and 14 studies published between 1993 and 2022 met the inclusion criteria. The authors identified 13 mental health conditions and categorized them under nine themes. Mood disorders, anxiety disorders and substance-related disorders constituted the most researched themes. Studies predominantly focused on young male workers in the Global North. The prevalence estimates reported in most of the studies were above the respective country’s prevalence.

This review extends previous studies by focusing specifically on the themes of mental health conditions and giving attention to young construction workers whose health needs remain a global priority. The study emphasizes the need to give research attention to lesser-studied aspects of mental health, such as positive mental health. The need to focus on female construction workers and on homogenous sub-groups of young workers is also emphasized. The findings can guide future systematic reviews on the identified thematic areas and help to plan the development of interventions.

This paper aims to describe: the need for substance misuse treatment with high risk, personality disordered prisoners, and the implementation of two evidence-based psychological interventions aimed at addressing substance misuse within a high secure, personality disorder treatment unit and potential future evaluation options.

In addition to the literature base evidencing the need for substance misuse treatment with this population, the Iceberg and ‘InsideOut’ interventions are presented. These interventions adopt a risk reduction and health intervention approach respectively. This includes explanations of how they came to be implemented within a prison based personality disorder treatment service and potential ways to evaluate these services.

Evidence-based psychological interventions can be implemented for this population whilst being responsive to changing government priorities for substance misuse treatment. The organisation’s research strategy includes an intention to evaluate these interventions in order to inform future delivery.

The high levels of co-morbidity between personality disorder and substance misuse disorders in the high security prison estate highlights the need for substance related treatment for this population. Given the responsivity issues relevant to personality disordered offenders, the format of delivery of evidence-based psychological interventions has to be considered.

This paper discusses the application of evidence-based psychological interventions for substance use within a high secure, personality disordered population which has developed as a result of ministerial changes within the treatment of both substance misuse and personality disorder.