Auto-AzKNIOSH: an automatic NIOSH evaluation with Azure Kinect coupled with task recognition.

Standard Ergonomic Risk Assessment (ERA) from video analysis is a highly time-consuming activity and is affected by the subjectivity of ergonomists. Motion Capture (MOCAP) addresses these limitations by allowing objective ERA. Here a depth camera, one of the most commonly used MOCAP systems for ERA (i.

Circular economy and disruption in the value chain: The role of stakeholders and networks in startups.

This study aims to analyze how stakeholder engagement and network formation contribute to the adoption of the circular economy and to disruption in the value chain of startups, supported by Industry 4.0 technologies. We conducted a systematic literature review of articles published between 2008 and 2024, indexed in the Scopus, Web of Science, and Science Direct databases.

Paved with good intentions: From digitalization to carbon neutrality.

Researchers and practitioners have promoted digitalization as a crucial tool for achieving carbon neutrality. In this paper, we argue that for digitalization to positively impact carbon neutrality, several essential supporting conditions are required. Using the Georgescu-Roegen/Daly ecological production function approach, we argue that digitalization alone a) will not necessarily lead to dematerialization, partly because it tends to economize on labor rather than other, less sustainable production factors, and partly because it requires a material- and energy-intensive infrastructure; b) will result in both quantitative and qualitative output expansion rather than substituting existing products and services with more sustainable alternatives; and c) will not promote carbon-conscious corporate governance practices.

Evaluating accession decisions in customs unions: a dynamic machine learning approach.

Previous work in the literature on regional economic integration has proposed the use of machine learning algorithms to evaluate the composition of customs unions, specifically, to estimate the degree to which customs unions match "natural markets" arising from trade flow data or appear to be driven by other factors such as political considerations. This paper expands upon the static approaches used in previous studies to develop a dynamic framework that allows to evaluate not only the composition of customs unions at a given point in time, but also changes in the composition over time resulting from accessions of new member states. We then apply the dynamic algorithm to evaluate the evolution of the global landscape of customs unions using data on bilateral trade flows of 200 countries from 1958 to 2018.

Social Understanding of Disability: Determinants and Levers for Action.

The prejudices often associated with the perception of people with disability can limit their access to the opportunities and resources available in society, leading them to live in a climate of great socio-economic uncertainty exacerbated since the COVID-19 pandemic. This research focuses on the perceptions of young people in France, defined as those aged between 18 and 30, towards people with disability. The study draws on the principles of social psychology to understand these perceptions, the factors that influence them and the most effective ways of promoting greater inclusion.

Industry 4.0 technologies for the adoption of the circular economy: An analysis of institutional pressures and the effects on firm performance.

The present research proposes a model to investigate the influence of institutional pressures on the adoption of circular economy (CE) principles, whether Industry 4.0 technologies support this adoption, and its effect on the performance of firms. To evaluate these relationships, we collected data from 248 companies operating in Brazil.

Enhancing water security: Statistical measurement and spatiotemporal analysis.

Water security is essential for ensuring energy security, sustainable development, and human survival. However, due to a series of challenges, including rising water demand, environmental pollution, and water resource shortages, the global water security situation remains concerning and poses a threat to global sustainable development. To assess water security in China, this study uses data from 30 provinces in China from 2012 to 2021.

Regional policy options for carbon peaking in the Yangtze River Delta under uncertainty.

The Yangtze River Delta (YRD) region plays a crucial role in achieving China's carbon peaking goal. However, due to uncertainties surrounding future economic growth, energy consumption, energy structure, and population, the attainment of carbon peaking in this region remains uncertain. To address this issue, this study utilized the generalized Divisia index method to analyze the driving factors of carbon emissions, including economy, energy, investment, and population.

Impact of carbon emission trading system on green technology innovation of energy enterprises in China.

China proposed establishing a carbon emission trading market in its 12th Five-Year Plan to reduce carbon dioxide emissions through market mechanisms, promote the development of science and technology and help China become an environment-friendly country. To examine the impact of carbon emission trading on green technology innovation in Chinese energy enterprises, data from 1993 to 2020 were collected from 494 A-share-listed energy enterprises. Enterprises located in the pilot area of carbon emissions trading were assigned to the treatment group, while those in the non-pilot area were assigned to the control group.

Evaluation of management practices in rice-wheat cropping system using multicriteria decision-making methods in conservation agriculture.

In this study, we employed two multiple criteria decision-making (MCDM) methods, namely the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and the Analytic Hierarchic Process (AHP), to determine the best management choice for the cultivation of wheat with a regime of conservation agriculture (CA) practices. By combining alternative tillage approaches, such as reduced tillage and zero tillage, with the quantity of crop residues and fertilizer application, we were able to develop the regime of CA practices. The performance of the regimes compared to the conventional ones was then evaluated using conflicting parameters relating to energy use, economics, agronomy, plant protection, and soil science.

Normality assumption in latent interaction models.

Latent moderated structural equation (LMS) is one of the most common techniques for estimating interaction effects involving latent variables (i.e., XWITH command in Mplus).

Identifying culture as cause: Challenges and opportunities.

Causal inference lies at the core of many scientific endeavours. Yet answering causal questions is challenging, especially when studying culture as a causal force. Against this backdrop, this paper reviews research designs and statistical tools that can be used - together with strong theory and knowledge about the context of study - to identify the causal impact of culture on outcomes of interest.

The impact of Chinese airport infrastructure on airline pollutant emissions: A hybrid stochastic-neural network approach based on utility functions.

With China being the world's largest emitter of greenhouse gases and its aviation sector burgeoning, the environmental performance of Chinese airlines has global significance. Amidst rising demands for eco-friendly practices from both customers and regulators, the interplay between airport infrastructure and environmental performance becomes pivotal. This research offers an innovative methodology to gauge the environmental performance of Chinese airlines, emphasizing the distance traveled between airports using weighted additive utility functions.

Following community norms or an internal compass? The role of prospective leaders' social category membership in the differential effects of authentic and ethical leadership on stereotype threat.

Increasing racial diversity in organizations remains a challenge, as stereotype threat undermines the performance and career aspirations of minority group members during job recruitment. The present study examines how prospective leaders can leverage their influence on their followers' identities to mitigate the stereotype threat Black individuals face in this context. We explore the effects of two moral leadership styles (ethical vs.

Essential shape: The role of essentialist beliefs in preferences for misshapen produce.

Understanding the reasons behind consumer rejection of misshapen produce is important because of its dramatic consequences on food waste. Drawing on psychological essentialism, we conduct seven studies to investigate the role of produce shape-related essentialist beliefs (i.e.

On the Optimal Size and Composition of Customs Unions: An Evolutionary Approach.

Customs unions enable countries to freely access each other's markets, which is thought to increase intra-regional trade and economic growth. However, accession to a customs union also comes with the condition that all members need to consent to a common external trade policy. Especially if countries feature different economic structures, this may act as a force against the creation of large customs unions.

Income and inequality in the Aztec Empire on the eve of the Spanish conquest.

Today, Latin American countries are characterized by relatively high levels of economic inequality. This circumstance has often been considered a long-run consequence of the Spanish conquest and of the highly extractive institutions imposed by the colonizers. Here we show that, in the case of the Aztec Empire, high inequality predates the Spanish conquest, also known as the Spanish-Aztec War.

Examining the Acceptance of Blockchain by Real Estate Buyers and Sellers.

Buying and selling real estate is time consuming and labor intensive, requires many intermediaries, and incurs high fees. Blockchain technology provides the real estate industry with a reliable means of tracking transactions and increases trust between the parties involved. Despite the benefits of blockchain, its adoption in the real estate industry is still in its infancy.

Don't Shoot the Messenger? A Morality- and Gender-Based Model of Reactions to Negative Workplace Gossip.

Unlabelled: We conducted three studies to examine how the recipients of negative workplace gossip judge the gossip sender's morality and how they respond behaviorally. Study 1 provided experimental evidence that gossip recipients perceive senders as low in morality, with female recipients rating the sender's morality more negatively than male recipients. In a follow-up experiment (Study 2), we further found that perceived low morality translates into behavioral responses in the form of career-related sanctions by the recipient on the gossip sender.

The ethical challenges of teaching business ethics: ethical sensemaking through the Goffmanian lens.

Business ethics (BE) professors play a crucial role in sensitizing business students toward their future ethical responsibilities. Yet, there are few papers exploring the ethical challenges these professors themselves face while teaching BE. In this qualitative paper, we rely on the lenses of ethical sensemaking and dramaturgical performance, and draw from 29 semi-structured interview conducted with BE professors from various countries and field notes from 17 h of observation of BE classes.

Influence of the COVID-19 pandemic on the use of social media on awareness' socio-environmental and sustainable consumption: Consolidating lessons from the pandemic.

Many impacts of the COVID-19 pandemic were caused on people's health and the economy of countries in its first year, especially in emerging economies such as Brazil, were dire. Social distancing and the reduction of jobs caused impacts in many organizations, which led to the adoption of strategies allowing employees to work from home, adjusting family residences into home offices while facing reduction in industrial production and a decrease in economic activities. The pandemic also changed consumption behaviors, the use of social media (social networks), and people's socioenvironmental awareness.

Prescriptive Analytics-Based SIRM Model for Predicting Covid-19 Outbreak.

Predicting the outbreak of a pandemic is an important measure in order to help saving people lives threatened by Covid-19. Having information about the possible spread of the pandemic, authorities and people can make better decisions. For example, such analyses help developing better strategies for distributing vaccines and medicines.

Sailing through the storm: Improvising paradox navigation during a pandemic.

Despite rich depictions of paradox navigation strategies, and the recognition that they are fraught with uncertainty, research reveals relatively little about how leaders navigate paradoxical tensions when improvising in the face of highly unpredictable and quickly evolving events. We conducted a narrative study of how French President Macron navigated the tension between the paradoxical poles of "saving lives" and "preserving life as usual" during the pandemic. Our article surfaces three central elements that form a model of improvised paradox navigation in stormy conditions: turning points, fog of uncertainty, and chaotic learning.