bluuebunny/crossref_metadata_2025_split huggingface dataset:
Applications of digital twin technology in construction safety risk management: a literature review
Authors: Luo Qianmai , Sun Chengshuang , Li Ying , Qi Zhenqiang , Zhang Guozong 
Published: March 2024

PurposeWith increasing complexity of construction projects and new construction processes and methods are adopted, more safety hazards are emerging at construction sites, requiring the application of the modern risk management methods. As an emerging technology, digital twin has already made valuable contributions to safety risk management in many fields. Therefore, exploring the application of digital twin technology in construction safety risk management is of great significance. The purpose of this study is to explore the current research status and application potential of digital twin technology in construction safety risk management.Design/methodology/approachThis study followed a four-stage literature processing approach as outlined in the systematic literature review procedure guidelines. It then combined the quantitative analysis tools and qualitative analysis methods to organize and summarize the current research status of digital twin technology in the field of construction safety risk management, analyze the application of digital twin technology in construction safety risk management and identify future research trends.FindingsThe research findings indicate that the application of digital twin technology in the field of construction safety risk management is still in its early stages. Based on the results of the literature analysis, this paper summarizes five aspects of digital twin technology's application in construction safety risk management: real-time monitoring and early warning, safety risk prediction and assessment, accident simulation and emergency response, safety risk management decision support and safety training and education. It also proposes future research trends based on the current research challenges.Originality/valueThis study provides valuable references for the extended application of digital twin technology and offers a new perspective and approach for modern construction safety risk management. It contributes to the enhancement of the theoretical framework for construction safety risk management and the improvement of on-site construction safety.
Nurturing family business resilience through strategic supply chain management
Authors: Pont Aina , Simon Alexandra 
Published: March 2024

PurposeThe study aspires to enhance comprehension of the intricate interplay between supply chain management (SCM) and resilience in family businesses, thereby offering valuable insights to managers and policymakers endeavouring to foster resilience in uncertain environments.Design/methodology/approachCommencing from the premise that family businesses (FBs) prioritize the preservation of socio-emotional wealth (SEW) when formulating strategic decisions, this study endeavours to advance understanding of supply chain practices adopted by FBs and their direct impact on resilience during crisis situations or economically challenging periods. Through an exploratory case study of nine FBs, the present research reveals four pivotal strategies in SCM that contribute to their resilience: (i) reorganization of inventory management; (ii) cultivating close relationships with suppliers; (iii) emphasizing product quality and customer retention; and (iv) implementing cost reduction measures to bolster resilience. The aim of the study is to provide an in-depth understanding of the intricate interplay between SCM and resilience in FBs, thereby offering valuable insights to managers and policymakers endeavouring to foster resilience in uncertain environments.FindingsOur approach offers a theoretical framework for SCM aligned with prior research on the interplay between characteristics of family businesses and resilience strategies. Furthermore, this paper illustrates how factors such as the emphasis on high-quality products and services by family businesses contribute to achieving non-economic objectives that owners adopt to reconcile family and business needs, creating intrinsic added value for the company. It reveals various challenges in SCM, including inventory organization changes, supplier closures and the significance of customer retention. Family businesses are implementing product and technology enhancements and leveraging digitization to enhance supply chain processes.Originality/valueThis paper contributes significantly to the field of FBs by highlighting the crucial role of SCM in enhancing business resilience during crises. It empirically examines how the SEW characteristics of FBs influence the reconfiguration of their supply chains to enhance resilience, presenting a theoretical model for this context. Our theoretical framework employs an SEW perspective to elucidate how FBs respond to the challenges posed by the COVID-19 pandemic by adapting their SCM processes to safeguard their social and emotional legitimacy, organizational visibility and reputation. These adaptations gain particular relevance during crises or turbulent conditions, potentially leading to alterations in how FBs formulate their supply chain strategies and manage supply chain-related processes.
Data driven predictive maintenance for large-scale asset-heavy process industries in Singapore
Authors: Karippur Nanda Kumar , Balaramachandran Pushpa Rani , John Elvin 
Published: March 2024

PurposeThis paper aims at identifying the key factors influencing the adoption intention of data analytics for predictive maintenance (PdM) from the lens of the Technology–Organization–Environment (TOE) framework in the Singapore Process Industries context. The research model aids practitioners and researchers in developing a holistic maintenance strategy for large-scale asset-heavy process industries.Design/methodology/approachThe TOE framework has been used in this study to consider a wide set of TOE factors and develop a research model with the support of literature. A survey is undertaken and the structural equation modelling (SEM) technique is adopted to test the hypotheses of the proposed model.FindingsThis research highlights the significant roles of digital infrastructure readiness, security and privacy, top management support, organizational competence, partnership with external consultants and government support in influencing adoption intention of data analytics for PdM. Perceived challenges related to organizational restructuring and process automation are not found significant in influencing the adoption intention.Practical implicationsThis paper reports valuable insights on adoption intention of data analytics for PdM with relevant implications for the various stakeholders such as the leaders and senior managers of process manufacturing industry companies, government agencies, technology consultants and service providers.Originality/valueThis research uniquely validates the model for the adoption of data analytics for PdM in the process industries using the TOE framework. It reveals the significant technology, organizational and environmental factors influencing the adoption intention and highlights the relevant insights and implications for stakeholders.
Personal relationships of rural small businesses with community banks in times of crisis
Authors: Bednarik Zuzana , Marshall Maria I. 
Published: March 2024

PurposeAs many businesses faced economic disruption due to the Covid-19 pandemic and sought financial relief, existing bank relationships became critical to getting a loan. This study examines factors associated with the development of personal relationships of rural small businesses with community bank representatives.Design/methodology/approachWe applied a mixed-method approach. We employed descriptive statistics, principal factor analysis and logistic regression for data analysis. We distributed an online survey to rural small businesses in five states in the United States. Key informant interviews with community bank representatives supplemented the survey results.FindingsA business owner’s trust in a banker was positively associated with the establishment of a business–bank relationship. However, an analysis of individual trust’s components revealed that the nature of trust is complex, and a failure of one or more components may lead to decreased trustworthiness in a banker. Small businesses that preferred personal communication with a bank were more inclined to relationship banking.Research limitations/implicationsDue to the relatively small sample size and cross-sectional data, our results may not be conclusive but should be viewed as preliminary and as suggestions for future research. Bankers should be aware of the importance of trust for small business owners and of the actions that lead to increased trustworthiness.Originality/valueThe study extends the existing knowledge on the business–bank relationship by focusing mainly on social (instead of economic) factors associated with the establishment of the business–bank relationship in times of crisis and high uncertainty.
Advancing elderly healthcare: adapting UTAUT2 with inhibitors for wearable device continuance
Authors: Liang Ruo-yu , Li Yin , Wei Wei 
Published: March 2024

PurposeWearable health devices (WHDs) have demonstrated significant potential in assisting elderly adults with proactive health management by utilizing sensors to record and monitor various aspects of their health, including physical activity, heart rate, etc. However, limited research has systematically explored older adults’ continued usage intention toward WHD. By utilizing the extended unified theory of acceptance and use of technology (UTAUT2), this paper aims to probe the precursors of elderly adults’ continuance intention to use WHD from an enabler–inhibitor perspective.Design/methodology/approachThe research model was developed based on UTAUT2 and examined utilizing the partial least squares technique (PLS). The research data were collected through in-person meetings with older people (n = 272) in four cities in China.FindingsResults reveal that performance expectancy, effort expectancy, social influence, facilitating conditions, hedonic values and perceived complexity are the positive predictors of elderly adults’ continuance intention to use WHDs. Technology-related anxiety and usage cost negatively influence the formation of older people’s continuance intention.Originality/valueThis work is an original empirical investigation that draws on several theories as guiding frameworks. It adds to the existing literature on the usage of wearable technologies and offers insights into how the elderly’s intentions to continue using WHDs can be developed. This study broadens the scope of the UTAUT2 application and presents an alternative theoretical framework that can be utilized in future research on the usage behavior of wearable devices by individuals.
Forecasting tourism demand with helpful online reviews
Authors: Liao Zhixue , Gou Xinyu , Wei Qiang , Xing Zhibin 
Published: March 2024

Purpose
Online reviews serve as valuable sources of information, reflecting tourists’ attentions, preferences and sentiments. However, although the existing research has demonstrated that incorporating online review data can enhance the performance of tourism demand forecasting models, the reliability of online review data and consumers’ decision-making process have not been given adequate attention. To address the aforementioned problem, the purpose of this study is to forecast tourism demand using online review data derived from the analysis of review helpfulness.

Design/methodology/approach
The authors propose a novel “identification-first, forecasting-second” framework. This framework prioritizes the identification of helpful reviews through a comprehensive analysis of review helpfulness, followed by the integration of helpful online review data into the forecasting system. Using the SARIMAX model with helpful online review data sourced from TripAdvisor, this study forecasts tourist arrivals in Hong Kong during the period from August 2012 to June 2019. The SNAÏVE/SARIMA model was used as the benchmark model. Additionally, artificial intelligence models including long short-term memory, back propagation neural network, extreme learning machine and random forest models were used to assess the robustness of the results.

Findings
The results demonstrate that online review data are subject to noise and bias, which can adversely affect the accuracy of predictions when used directly. However, by identifying helpful online reviews beforehand and incorporating them into the forecasting process, a notable enhancement in predictive performance can be realized.

Originality/value
First, to the best of the authors’ knowledge, this study is one of the first to focus on the data issue of online reviews on tourism arrivals forecasting. Second, this study pioneers the integration of the consumer decision-making process into the domain of tourism demand forecasting, marking one of the earliest endeavors in this area. Third, this study makes a novel attempt to identify helpful online reviews based on reviews helpfulness analysis.
Land‐use change in the past 40 years explains shifts in arthropod community traits
Authors: Martínez‐Núñez Carlos , Gossner Martin M. , Maurer Corina , Neff Felix , Obrist Martin K. , Moretti Marco , Bollmann Kurt , Herzog Felix , Knop Eva , Luka Henryk , Cahenzli Fabian , Albrecht Matthias 
Published: March 2024

Abstract

Understanding how anthropogenic activities induce changes in the functional traits of arthropod communities is critical to assessing their ecological consequences. However, we largely lack comprehensive assessments of the long‐term impact of global‐change drivers on the trait composition of arthropod communities across a large number of species and sites. This knowledge gap critically hampers our ability to predict human‐driven impacts on communities and ecosystems.

Here, we use a dataset of 1.73 million individuals from 877 species to study how four functionally important traits of carabid beetles and spiders (i.e. body size, duration of activity period, tolerance to drought, and dispersal capacity) have changed at the community level across ~40 years in different types of land use and as a consequence of land use changes (that is, urbanisation and loss of woody vegetation) at the landscape scale in Switzerland.

The results show that the mean body size in carabid communities declined in all types of land use, with particularly stronger declines in croplands compared to forests. Furthermore, the length of the activity period and the tolerance to drought of spider communities decreased in most land use types. The average body size of carabid communities in landscapes with increased urbanisation in the last ~40 years tended to decrease. However, the length of the activity period, the tolerance to drought, and the dispersal capacity did not change significantly. Furthermore, urbanisation promoted increases in the average dispersal capacities of spider communities. Additionally, urbanisation favoured spider communities with larger body sizes and longer activity periods. The loss of woody areas at the landscape level was associated with trait shifts to carabid communities with larger body sizes, shorter activity periods, higher drought tolerances and strongly decreased dispersal capacities. Decreases in activity periods and dispersal capacities were also found in spider communities.

Our study demonstrates that human‐induced changes in land use alter key functional traits of carabid and spider communities in the long term. The detected trait shifts in arthropod communities likely have important consequences for their functional roles in ecosystems.
OCCUR Shiny application: A user‐friendly guide for curating species occurrence records
Authors: Ronquillo Cristina , Stropp Juliana , Hortal Joaquin 
Published: March 2024

Abstract

Ecology increasingly relies on a massive volume of biodiversity occurrence records to draw insights into large‐scale biogeographical, ecological and evolutionary phenomena. This often involves defining a set of criteria that guides the collection, filtering and standardising of available records. These curation processes are often neither described in detail nor well documented. This hampers the comparability and reproducibility of studies and thus undermines the robustness of any ecological result. Yet, to date, there is no guide providing a friendly way to reason and document a complete data curation process.

We reviewed the available literature on data curation, including tools such as R packages and workflows. From this assessment, we created a complete guide organised into five modules that allows users to consciously select and validate occurrence records based on these curation criteria. This is presented in the user‐friendly Shiny R OCCUR application, available at https://ecoinformatic.shinyapps.io/OCCUR/.

OCCUR application provides a guide for researchers to deal with the trade‐off between data certainty and coverage generated in each data curation step. An interactive graph of these changes is provided within each module. OCCUR also produces a custom‐made final report including all steps used for data filtering. This report helps to streamline the writing of the methods section of manuscripts and technical reports, thus promoting the reproducibility of data curation processes.

This Shiny application provides an interactive overview of the data curation methods and their use for handling occurrence records from public repositories. It brings together the taxonomic, temporal and spatial dimensions of data and also the identification of duplicates of the records. OCCUR can be applied for multiple purposes, such as teaching R to ecologists or enhancing reproducibility of macroecology and biogeography.
Full‐dose challenge of moderate, severe, and unknown beta‐lactam allergies in the emergency department
Authors: Anderson Adam M. , Coallier Stephanie , Mitchell Reid E. , Dumkow Lisa E. , Wolf Lauren M. 
Published: March 2024

AbstractObjectiveThis study aims to assess the outcome of challenging documented moderate, severe, or unknown beta‐lactam allergies with full dose administration of a beta‐lactam antibiotic in emergency department (ED) patients admitted for acute bacterial infection.MethodsA single‐center, retrospective, descriptive study of adult patients challenged with a full dose of beta‐lactam in the ED from January 2021 to December 2022 was conducted. Included patients had at least one documented moderate, severe, or unknown beta‐lactam allergy in the electronic medical record (EMR) without documentation of prior tolerance. Patient demographics, prior beta‐lactam antibiotic reaction, beta‐lactam administered in the ED, inpatient beta‐lactam continuation, adverse drug reactions, and updates to allergy profiles were collected. Descriptive statistics for data analysis were performed using SPSS Version 22.ResultsOf the 184 ED encounters with full‐dose beta‐lactam challenges, five (2.7%) patients with documented moderate, severe, or unknown beta‐lactam allergies experienced an allergic reaction after the challenge; one (0.5%) patient had an allergic reaction in the ED, and the remaining four (2.2%) occurred after admission. No anaphylactic reactions occurred. All allergic reactions were limited to mild rash or itching. Most patients (98.9%) were challenged with a cephalosporin. A beta‐lactam was continued in 86.4% of cases, and the allergy profile was updated for future utilization in 73.4% of patients.ConclusionsThis study suggests that full‐dose challenge of moderate, severe, or unknown beta‐lactam allergies can be safely accomplished in the ED. This approach avoids unnecessary penicillin allergy skin testing and reduces utilization of suboptimal alternative antibiotic regimens.
Confucian culture and cost stickiness
Authors: Pan Ailing , Wang Hui , Xu Lei 
Published: March 2024

AbstractCultural features may exert significant impact on firm behaviour. Through a sample of listed A‐share firms on the Shanghai and Shenzhen Stock Exchanges, we find that Confucian culture may significantly lower firms' cost stickiness. Our mechanism tests suggest that ideologies of self‐discipline and prudence embedded in Confucian culture may mitigate agency issues as well as overestimation of firm earnings. Furthermore, such impact is more pronounced among firms of lower shareholding by institutional investors or of weak internal control, which suggests that Confucian culture may help rectify the imperfection of corporate governance. Lower cost stickiness may also reduce firm risk.
Modelling the amount of inputs needed for methamphetamine manufacture in Afghanistan
Authors: Pardo Bryce , Nobajas Ganau Alexandre , Zeiler Irmgard 
Published: March 2024

AbstractBackground and aimsThe use and manufacture of methamphetamine has increased in Afghanistan in recent years. Recent research and reports have pointed to the ephedra plant, which grows wildly, as a key source of ephedrine used in the manufacture of methamphetamine. This paper aimed to estimate the relative efficiencies and scale of inputs required to manufacture methamphetamine in Afghanistan.MethodsMonte Carlo simulations model of the amount of ephedra or cold medications needed to render a pure kilogram of methamphetamine in Afghanistan, accounting for uncertainty in ranges of key parameters informed from the literature and elsewhere. Final estimates were extrapolated to recent seizure totals.ResultsFor dried ephedra, the median estimate is 196.8 kg (25th–75th percentiles 119.3–346.6 kg) needed to produce 1 kg of methamphetamine compared with 27.9 kg (25th–75th percentiles 21.9–36.8 kg) for cold medications. Nearly 2.7 t of methamphetamine were seized in Afghanistan in 2021. Assuming a purity range of 50%–90%, some 266–478 t of dried ephedra or 38–68 t of cold medication would need to have been processed.ConclusionSimulated estimates show that considerable amounts of either ephedra or cold medication are needed to produce 1 kg of methamphetamine in Afghanistan. This raises questions about the plausibility of ephedra as the dominant source of Afghanistan's methamphetamine.
Detection, characterisation and management of complex root canal configurations in the mesiobuccal roots of maxillary first molars: A case series
Authors: Arnold Michael , Ahmed Hany Mohamed Aly 
Published: March 2024

AbstractThis report presents the detection, characterisation, instrumentation and filling of complex canal configurations in the mesiobuccal (MB) root of maxillary first molars. Three patients were referred for root canal treatment in first maxillary molars. Medical history, age, sex and clinical findings were recorded. Intraoral periapical radiographs and cone beam computed tomography (CBCT) were used for diagnosis and pre‐operative assessment. Using Ahmed et al. (2017) classification system, codes 3MaxM MB3‐5‐4‐2 DB1‐2‐1 P1 (case 1), 3MaxM MB2‐5‐3‐2 DB1 P1 (case 2) and 3MaxM MB1‐4‐2‐1‐2 DB1 P1 (case 3) were identified. Using the dental operating microscope, CBCT (if indicated) and troughing up to 3 mm allowed identification of more than three canals in the MB root of maxillary first molars. The coding system proposed by Ahmed et al. (2017) allows the classification of MB roots with highly complex canal configurations.