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Occupational Safety and Health Administration (OSHA) of the U.S. government ensures that all health and safety regulations, protecting the workers, are enforced. OSHA officers conduct inspections and assess fines for non-compliance and regulatory violations. Literature discussion on the economic impact of OSHA inspections with COVID-19 related citations for the construction sector is lacking. This study aims to investigate the relationships between the number of COVID-19 cases, construction employment and OSHA citations and it further evaluates the total and monthly predicted cost impact of OSHA citations associated with COVID-19 violations.

An application of multiple regression analysis, a supervised machine learning linear regression model, based on K-fold cross validation sampling and a probabilistic risk-based cost estimate Monte Carlo simulation were utilized to evaluate the data. The data were collected from numerous websites including OSHA, Centers for Disease Control and the World Health Organization.

The results show that as the monthly construction employment increased, there was a decrease in OSHA citations. Conversely, the cost impact of OSHA citations had a positive relationship with the number of COVID-19 cases. In addition, the monthly cost impact of OSHA COVID-19 related citations along with the total cost impact of citations were predicted and analyzed.

The application of the two models on cost analysis provides a thorough comparison of predicted and overall cost impact, which can assist the contractors to better understand the possible cost ramifications. Based on the findings, it is suggested that the contractors include contingency fees within their contracts, hire safety managers to implement specific safety protocols related to COVID-19 and request a safety action plan when qualifying their subcontractors to avoid potential fines and citations.

The paper clarifies research gaps and future directions in building information modeling (BIM) research by analyzing research trends and publication patterns. It aims to (1) systematically categorize the vast array of BIM literature into coherent main topics, (2) identify the most and least explored areas and (3) propose directions for future research based on identified research gaps.

This study uses the Latent Dirichlet Allocation (LDA) method to manage large datasets and uncover hidden patterns in academic journals and conference articles. To clarify the scholarly focus, the main topics in BIM research are categorized into three groups: (1) primary areas of focus, (2) moderately explored topics and (3) least investigated topics.

The findings revealed 10 main topics (MTs) and 57 subtopics (STs), identifying key areas such as project design and management (20%), innovative construction technology (14%) and sustainable construction/life cycle management (14%). Conversely, it also highlighted underexplored areas like Facility/safety management and urban data development, suitable for future research.

While this work provides a structured overview of the BIM domain, it reveals opportunities for further exploring the complexity of the interrelation among interdisciplinary topics.

The novelty of this study is its extensive scope, analyzing over fifteen thousand BIM articles from 2013 to 2023, which significantly expands the literature scale previously reviewed. This comprehensive approach maps BIM research trends and gaps and also shows the hierarchical trend line of publications in each main topic, setting a benchmark for future studies.

We developed a model to demonstrate how multiple interrelated aspects of a firm influence its recourse to third-party financing, which frequently depends on the characteristics of each food production chain.

We conducted an empirical research on a relevant sample of small- and medium-sized Italian dairy firms. Our research methodology is inspired by the grounded theory (Glaser and Strauss, 1967).

Our findings illustrated that firm indebtedness is the result of intertwined variables, linked to different firm dimensions, including growth, financial structure and economic dynamics.

A portion of the analysed phenomenon is not explained using the sample and econometric tools.

There are practical implications for the decision-makers in a firm (in particular, the managers and the shareholders) as the model allows to evaluate the influence of a set of mutually interdependent firm variables for the indebtedness level.

First, we considered the recourse to third-party financing within the context of the systems theory (Millová and Blatný, 2015) and from the perspective of linked causes and mutually connected variables. Second, our research focussed on a well-defined food chain and on features of firms operating in this context. Last, our model considered the impact of the recent economic crisis, which motivated us to review the existing models.

The emerging disintegrative processes of transitional economies are influencing companies’ business models in terms of consumer behaviour, especially food markets, which offer usual, common and traditional consumer products. Beyond investigating potential consumer misbehaviour, a further aim of this study is the building of a theoretical-descriptive model for consumer misbehaviour in food markets, which could influence the contextual complexity in business relationships, as well as the management of raw materials, services acquisition and final product sales. The research applies the “input-output” model (Ferrero, 1968) to some specific marketing theories, adopting an interdisciplinary approach for understanding the relationships between consumer behaviour and a company’s business model.

The research is both qualitative and quantitative in nature. In the first phase, the research was conducted among representatives of grocery stores using an exploratory approach; thus, an in-depth interview method was used. In the second phase, direct research among consumers was conducted using an online survey. After the verification of correctness, validity and reliability, a final 1,200-questionnaire dataset was analysed

The most common consumer misbehaviour in food markets concerns the theft of foodstuff or the adoption of bad behaviour towards grocery stores employees. Market and store representatives have highlighted a large scale of pathological consumer misbehaviour, mostly due to psychological conditions at the individual (habits, lifestyle or personality) and collective (family or other social groups) levels. According to previous studies, consumer misbehaviour in food markets seems to be substantially affected by three factors: motivation, capacity and opportunity. These factors strongly impact the input-output model through which the company interacts with the context.

The three-factor model reveals advantages and applications, allowing for a simple explanation of consumer misbehaviour in food markets and stores. It can contribute to scientific theory development (especially theories related to consumer behaviour, customer relationship management, partnership marketing and supply chain management) and generate support for understanding complex relations among consumers, food producers, factories and food stores. In this direction, the management of knowledge about consumers and their behaviour is indispensable.

Responding to local, regional and international demands and initiatives, the government of Ecuador has rolled out an innovative program Sistema Integral de Tecnologías para la Escuela y la Comunidad (SíTEC) to place information, and communication technologies (ICTs) into the hands of students, teachers, and other educational institutions. SíTEC draws upon several elements of social entrepreneurship and has successfully reached some of the most regionally remote and culturally diverse communities in the country. The SíTEC program is emblematic of many of the criteria set forth regarding social entrepreneurship including the vision of leadership, the focus on a social mission and the importance of innovation in partnership and resource allocation. This study looks at survey and interview data from the Shiña community teachers and school leaders to determine the effects of the SíTEC program and the availability and use of ICTs in schools, SíTEC has equipped public schools with computers, projectors, digital boards, and Internet. Additionally, SíTEC organizes training courses on ICTs for public school teachers and provides schools with educational software available in Spanish, Kichwa, Shuar, and English. While there is still much work to be done, SíTEC and the associated partnerships and programs are beginning to have impact in their specified outcomes. Creative partnerships developed within the Ministry of Education, Office of Bilingual Education, Shiña community have allowed for communication and exchange of knowledge and resources across multiple partners. This chapter explores SíTEC as an innovative government-based program that meets targeted social outcomes in ICTs and education.

The purpose of this paper is to identify the lean production (LP) practices applied in healthcare supply chain and the existing barriers related to their implementation.

To achieve that, a scoping review was carried out in order to consolidate the main practices and barriers, and also to evidence research gaps and directions according to different theoretical lenses.

The findings show that there is a consensus on the potential of LP practices implementation in healthcare supply chain, but most studies still report such implementation restricted to specific unit or value stream within a hospital.

Healthcare organizations are under constant pressure to reduce costs and wastes, while improving services and patient safety. Further, its supply chain usually presents great opportunities for improvement, both in terms of cost reduction and quality of care increase. In this sense, the adaptation of LP practices and principles has been widely accepted in healthcare. However, studies show that most implementations fall far short from their goals because they are done in a fragmented way, and not from a system-wide perspective.