bluuebunny/crossref_metadata_2025_split huggingface dataset:
Pose estimation method for construction machine based on improved AlphaPose model
Authors: Zhao Jiayue , Cao Yunzhong , Xiang Yuanzhi 
Published: October 2022

PurposeThe safety management of construction machines is of primary importance. Considering that traditional construction machine safety monitoring and evaluation methods cannot adapt to the complex construction environment, and the monitoring methods based on sensor equipment cost too much. This paper aims to introduce computer vision and deep learning technologies to propose the YOLOv5-FastPose (YFP) model to realize the pose estimation of construction machines by improving the AlphaPose human pose model.Design/methodology/approachThis model introduced the object detection module YOLOv5m to improve the recognition accuracy for detecting construction machines. Meanwhile, to better capture the pose characteristics, the FastPose network optimized feature extraction was introduced into the Single-Machine Pose Estimation Module (SMPE) of AlphaPose. This study used Alberta Construction Image Dataset (ACID) and Construction Equipment Poses Dataset (CEPD) to establish the dataset of object detection and pose estimation of construction machines through data augmentation technology and Labelme image annotation software for training and testing the YFP model.FindingsThe experimental results show that the improved model YFP achieves an average normalization error (NE) of 12.94 × 10–3, an average Percentage of Correct Keypoints (PCK) of 98.48% and an average Area Under the PCK Curve (AUC) of 37.50 × 10–3. Compared with existing methods, this model has higher accuracy in the pose estimation of the construction machine.Originality/valueThis study extends and optimizes the human pose estimation model AlphaPose to make it suitable for construction machines, improving the performance of pose estimation for construction machines.
Academic libraries and research data management: a case study of Dataverse global adoption
Authors: Chen Hsin-liang , Chiu Tzu-Heng , Cline Ellen 
Published: October 2022

Purpose
The purpose of this study is to examine the development of Dataverse, a global research data management consortium. The authors examine specifically the institutional characteristics, the utilization of the associated data sets and the relevant research data management services at its participating university libraries. This evidence-based approach is essential for understanding the current state of research data management practices in the global context.

Design/methodology/approach
The data was collected from 67 participants’ data portals between December 1, 2020, and January 31, 2021.

Findings
Over 80% of its current participants joined the group in the past five years, 2016–2020. Thirty-three Dataverse portals have had less than 10,000 total downloads since their inception. Twenty-nine participating universities are included in three major global university ranking systems, and 18 of those university libraries offer research data services.

Originality/value
This project is an explorative study on Dataverse, an international research data management consortium. The findings contribute to the understanding of the current development of the Dataverse project as well as the practices at the participating institutions. Moreover, they offer insights to other global higher education institutions and research organizations regarding research data management. While this study is practical, its findings and observations could be of use to future researchers interested in developing a framework for data work in academic libraries.
Labour standards in the Ghanaian construction sector: an investigation of the governance landscape
Authors: Masino Serena , von Jacobi Nadia Laura , Akuffobea-Essilfie Mavis 
Published: October 2022

PurposeThis paper aims to investigate the governance of labour standards in the less-studied yet rapidly globalising Ghanaian construction sector. While incorporation into international production networks generates several opportunities for workers, the drivers of adverse incorporation originate at multiple levels of analysis. The study offers an investigation into such drivers and their interconnections.Design/methodology/approachThe authors utilise a multi-scalar framework and mixed methods of analysis. Both the qualitative and multi-level quantitative analyses rely on a primary dataset collected among 30 firms and 304 respondents, through semi-structured interviews.FindingsA composite yet unbalanced labour standards governance configuration emerges, where the absence of social governance combined with a weak role of the State leaves labour standards subject to the variegated landscape of firms' embeddedness in the sector.Originality/valueThe construction industry is acquiring ever-increasing relevance in the economic trajectory of Ghana as well as that of several other African economies, not least for its large employment generation potential. Research on the governance of labour standards in the sector is, however, largely missing. The authors argue that labour incorporation dynamics represent a complex under-investigated regulatory challenge as well as a policy-making priority. The analysis is one of the first to offer a reconstruction of the governance landscape determining the challenges workers face in the Ghanaian construction sector, from both a qualitative and quantitative perspective.
Driving sustainability in supply chain management for a more inclusive and responsible future
Authors: El-Garaihy Wael Hassan , Farag Tamer , Al Shehri Khalid , Centobelli Piera , Cerchione Roberto 
Published: October 2022

PurposeNowadays, a prominent research area is the development of competitive advantages in companies, due to their environmental commitment and orientation. Based on resource-based view (RBV) and institutional theory (InT), this paper aims to investigate the influence of internal and external orientation on businesses' sustainable performance while considering the effect of sustainable supply chain management (SSCM) practices.Design/methodology/approachData from 351 manufacturing companies in the Kingdom of Saudi Arabia have been collected and analysed through structural equation modelling (SEM) using the partial least squares (PLS) method.FindingsThe results indicated that both internal and external environmental orientation have important effects on SSCM practices, which in turn have a considerable beneficial effect on environmental, social and economic performance.Originality/valueAlthough SSCM is constantly gaining ground in the literature, most SSCM research and models examine its effects, antecedents or motivation, mainly adopting a qualitative approach. Research on the topic adopting a large-scale empirical approach is still limited. In this context, this study contributes to the SSCM management literature by exploring the role of environmental orientation in facilitating the adoption of SSCM practices and improving companies' performance.
The effects of job demands of enterprise social media on employees' outcomes: a curvilinear mediated model
Authors: Liu Shiqi , Shen Tao , Wu Yuliang , Chen Yang , Li Yifan , Tang Yumeng , Lu Lu 
Published: October 2022

PurposeExtant research has paid considerable attention to the effects of enterprise social media (ESM) on employees' work attitudes and outcomes, yet the authors know little about the influence of job demands arising from the implementation of ESM. Drawing on resource allocation theory, the purpose of this study is to unravel how ESM-related job demands influence employee outcomes.Design/methodology/approachThis study conducts a two-wave time-lagged survey of 223 employees from 53 teams in 14 financial service firms in China to test the conceptual model.FindingsThe findings of this paper indicate that ESM-related job demands have indirect effects on employee outcomes (i.e. job satisfaction and work–family conflict), and emotional exhaustion plays an intermediary role in these relationships. Specifically, ESM-related job demands have a U-shaped effect on emotional exhaustion.Originality/valueThis study combines job demands with ESM research and clarifies the mechanism behind how ESM-related job demands at different intensity affect employee outcomes from a new perspective. Moreover, this study’s findings suggest several beneficial courses of action for managers to take advantage of ESM.
Economic effects of green bond market development in Asian economies
Authors: Phung Thanh Quang 
Published: October 2022

PurposeIn the recent decades, the green projects have suffered from serious lack of investment, highlighting the major role of green financing to attract private investors to these projects. The main purpose of this paper is to explore the economic impacts of green bond (GB) market in 37 Asian economies.Design/methodology/approachTo empirically analyze the impacts of issued GBs on different macroeconomic variables of 37 Asian countries, the co-integration and causality approaches are employed to analyze the data for the period of 2002–2018.FindingsThe primary findings indicated the presence of a unidirectional causal direction running from inflation rate, inward FDI, governance indicator, and human development index to issued GBs for the sample of Asian economies that were analyzed. Regarding Group I (higher and upper-middle income Asian countries), there are bi-directional relationships between the GB and other variables, indicating that the policies of governments in each variable influence other variables, whereas for Group II (low and lower-middle income Asian countries), there are uni-directional relationships running from HDI, governance indicator, and inflation rate to GBs, but only bi-directional causal relationships.Practical implicationsIn Asian economies with a lower per capita income, implementing policies to enhance the efficiency of issued GBs so that they have a positive impact on economic activities and human development may be an appropriate strategy with major policy implications. In this way, financial system improvement, financing rural electrification and the transition to electric vehicles through GBs are recommended, while for the case of high- and upper-middle-income economies in Asia, simplifying capital flows from abroad to the GB market can be considered a practical policy.Originality/valueThis study contributes to current green finance research by studying the effects of several variables on the GB market for the instance of Asian countries with low and lower-middle incomes, as well as high-upper middle incomes.
Risky combination: the role of managerial perceptions of social media use and entrepreneurial orientation on SME innovation
Authors: Brooks Stoney , Sahaym Arvin , Datta Avimanyu , Srivastava Smita 
Published: October 2022

PurposeThis study examines the conditions when “managerial perception of the contribution of social media” (SMC) enhances and inhibits entrepreneurially oriented small and medium-size enterprises' (SMEs') ability for new product introductions (NPI) to the market. We also propose that while firm proactiveness enhances the rate of NPI, managers' risk-taking attitude hurts the process even when managerial perceptions of social media use are high.Design/methodology/approachThis study uses the survey data collected from 322 SMEs in the US to examine the theoretical model. By adopting the partial least square (PLS-SEM) technique, the direct and moderating effects among the SMC, proactive behavior and risk-taking attitude on NPI are explored under dynamic and stable market conditions.FindingsEmpirical findings show that although SMC has a significant positive influence on the rate of NPI in case of SMEs', if the managers are risk-takers themselves, then social media use can distract them, make them overly adventurous trying to introduce too many products and hurt SMEs' innovation efforts with less NPI. We show that SMEs' entrepreneurial orientation (EO) has a differential impact on SMC-NPI relationship, especially in dynamic market conditions.Practical implicationsThe findings provide practical evidence that SMEs get benefitted when their managers perceive that the contributions from social media are positive for their firm. Contrary to the prior understanding of high risk and high return, managers' risk-taking attitude hurts SMEs innovation efforts. SMEs being resource-constrained, it is practically vital for them to be taking less risk while developing new products.Originality/valueThis research synthesizes the insights of the new and emerging “Strategy-as-practice view” and “Behavioral theory of the firm” to empirically examine how managerial perceptions on social media use shape firms' key strategic activity, NPI. This research also highlights the dark side of firm characteristics, such as managerial risk-taking attitude for SMEs.
Police officers’ support for corruption: examining the impact of police culture
Authors: Amagnya Moses Agaawena 
Published: October 2022

PurposeThis study examines the relationship between police culture and support for corruption among Ghanaian police officers.Design/methodology/approachThe study draws on data from a survey of 616 police officers across three regions in Ghana. The research questions and hypotheses are addressed through a hierarchical regression analysis.FindingsThe results show that perception of corruption prevalence, lack of deterrence (i.e. perceived oversight measures) and the Upper East Region significantly predicted officers’ support for corruption. Particularly, lack of deterrence was a consistent predictor of support for corruption across different models compared to corruption prevalence. Contrary to previous studies, code of silence was found not to predict officers’ support for corruption.Originality/valueThis paper contributes to the police culture and corruption debate an African perspective, where little research has explored the relationship between police culture and corruption. The code of silence not predicting support for corruption contradicts previous studies and contributes to the debate, literature and theory development.
Coinciding crises: the effects of the police legitimacy and opioid crises on the culture of a specialized drug investigation unit
Authors: Frantz Jessica , Perez Nicholas Michael , White Michael , Malm Aili 
Published: October 2022

PurposeThe police killing of George Floyd and other high-profile incidents of force sparked massive protests around the world. Amidst eroding public perceptions of police legitimacy, politicians and activists have sought to achieve systemic change. Over the past year, several cities in the United States have implemented various police reform initiatives, including reallocating resources, cutting budgets, and downsizing specialized units. As a result of these changes, the “defund the police” movement may have far-reaching consequences on police culture, especially within specialized units most affected by budget and resource changes. Furthermore, as fentanyl overdoses are surging and the American opioid crisis continues, specialized drug investigation units face a host of challenges in responding to increases in drug-related crime in the aftermath of “defund the police”. Therefore, this study aims to examine the experiences of a Drug Investigation Section in a large metropolitan city.Design/methodology/approachThis study uses data from semi-structured interviews conducted between October 2021 to May 2022. The results of this study provide a thematic analysis that explores the narcotics detectives' perceptions of key features of police culture, as well as how current challenges affect those perceptions.FindingsKey features of the police culture were noticeably absent from detectives' responses, including an overemphasis on danger, machismo, conservatism, and social isolation. Elements of cynicism, group solidarity, and a mission/action-orientation, did emerge. The context of “defund the police” did little to alter their perceptions, except for heightening cynicism and negative perceptions of politicians and prosecutors (a form of “us vs them”, but not involving citizens). The interviews also revealed various other changes that have occurred in recent years that have adversely affected the section's traditional investigative capabilities, especially with regard to illicit fentanyl distribution, though the addition of an intelligence analyst minimized those negative effects.Originality/valueThis study adds to the scarce research on contemporary police culture in specialized units, especially in the aftermath of the “defund the police” movement, providing a glimpse into its context within a drug investigation section and its potential effects on police culture and narcotics investigations.
Q estimation based on the centroid frequency and standard deviation of frequency‐weighted‐exponential function
Authors: Zhang JunJie , Li Jingye , Wang Shoudong , Cheng Wanli , Tang Wei 
Published: October 2022

AbstractThe quality factor Q is a vital parameter for quantitatively describing the attenuation information of underground reservoirs, which is of great significance for hydrocarbon detection and reservoir characterization. A frequency‐weighted‐exponential (FWE) method utilizing the symmetry index and the characteristic frequency can obtain this parameter. Unfortunately, the constant symmetry index assumption of it reduces the accuracy of Q values under the non‐standard FWE shape. Selecting an optimal symmetry index is also a problem for this method. Hence, the basic idea of a novel Q estimation method is to substitute the symmetry index with the standard deviation of the source and attenuated wavelet spectrums. The added standard deviation varies with the degree of attenuation under different wavelet shapes, which can reduce the effects of the constant assumption. Meanwhile, it is simple to calculate this parameter directly from the spectrums. In this way, the proposed method has wider applicability to various wavelets. The synthetic records show the better performance of the novel method in improving the accuracy of Q values and the resistance to random noise than the FWE method. Furthermore, the results of matching wavelets exhibit the applicability of the proposed method in real data, and the quadratic spectrum simulation method improves the stability of the spectrums. Finally, real data experiments indicate the effectiveness of the proposed method after the above two processing means.
Objective assessment of sleep and fatigue risk in emergency medicine physicians
Authors: Fowler Lauren A. , Hirsh Emily L. , Klinefelter Zachary , Sulzbach Margaret , Britt Thomas W. 
Published: October 2022

AbstractObjectivesFatigue is a state of physical and mental exhaustion in which people feel exhausted or drained of energy. Shift workers are highly vulnerable to fatigue, and this is especially true of emergency physicians (EPs). Shift scheduling (shift hours, frequency/length of breaks, time of shift, and number of hours off between shifts) can affect levels of fatigue in EPs. When EPs are fatigued, they experience decrements in cognition, resulting in an increased risk of errors. This study assessed the state of fatigue in EPs in the emergency department of a large, urban hospital using objective measures (sleep metrics and shift scheduling) over multiple months.MethodsSeventeen EPs, nine females, wore wrist‐activity monitors called ReadiBands for 2 months. The ReadiBand is an objective actigraphy measure that communicates with a smartphone application to quantify sleep metrics and predict future fatigue.ResultsThroughout the 3083 on‐shift hours of data, analyses revealed that EPs have poor sleep quality (mean ± SD 7.71 ± 1.84/10) and sleep quantity (mean ± SD 6.77 ± 1.66 h), with sleep efficiency within “normal” ranges (mean ± SD 87.26 ± 9.00). Participants spent 725 h (23.52%) on shifts with fatigue scores indicative of significant impairment (equivalent to BAC of .08%). In addition, results indicated that shift type (day, evening, night) was significantly associated with fatigue score, where night shifts were associated with higher fatigue scores.ConclusionsFatigue is an issue for many EPs. The present study addressed the percentage of time EPs are in a fatigued state when on shift over an extended duration of time. More research is needed to examine system‐level interventions for reducing fatigue in EPs.
Why do people gossip? Reputation promotes honest reputational information sharing
Authors: Tan Huibang , Jiang Tianxiang , Ma Ning 
Published: October 2022

AbstractGossip, sharing information about an absent person, is an important way of spreading reputational information, crucial in fostering human cooperation. However, why should information possessors engage in gossip, and why should they be honest? We addressed this question based on a reputational account. In study 1, we found that when observed by potential investors, people were willing to pay more to share reputational information with those in need. Moreover, engaging in gossip did confer reputational benefits for gossipers by receiving more trust from investors, and gossipers' willingness to gossip predicted their subsequent trustworthiness. Study 2 further verified that observability promoted only honest information sharing and deterred dishonest gossiping. Consistently, only honest gossipers were trusted more, while dishonest gossipers were perceived to be even less trustworthy than non‐gossipers, and only the motivation for honest gossiping could reflect gossipers' trustworthiness. These findings suggest that reputation can provide a solution to encourage gossiping and secure honesty.
Marginal bone loss of tissue‐ or bone‐level implants after simultaneous guided bone regeneration in the posterior mandibular region: A retrospective cohort study
Authors: Shen Xiaoting , Yang Sijia , Xu Yangbo , Qi Wenting , He Fuming 
Published: October 2022

AbstractPurposeTo analyze the marginal bone loss (ΔMBL) of tissue‐ or bone‐level implants after placed with simultaneous guided bone regeneration (GBR).Materials and MethodsA total of 151 patients who received 104 tissue‐level or 128 bone‐level implants placement with simultaneous GBR in the mandibular posterior region between January 2011 and December 2016 were included in this study. The marginal bone level (MBL) was recorded using the radiographic data obtained at implant placement, second‐stage surgery, and the follow‐up visit. Generalized estimating equation (GEE) was used to compare the ΔMBL of tissue‐ and bone‐level implants, and the influencing factors of ΔMBL were further analyzed.ResultsAt the last follow‐up visit, the MBL of tissue‐level implants was 0.73 ± 0.86 mm, above the rough‐smooth interface, while that of bone‐level implants was 0.82 ± 1.05 mm, above the implant platform. The ΔMBL of tissue‐level implants was 1.03 mm, which was slightly higher than 0.81 mm of bone‐level implants, but there was no significant difference (p > 0.05). No contributing factor associated with ΔMBL was identified by multivariate regression analysis in this study.ConclusionWithin the limits of this retrospective analysis, the ΔMBL of tissue‐level implants is similar to that of bone‐level implants after placed with simultaneous GBR, and both types of implants can achieve desirable marginal bone stability.