bluuebunny/crossref_metadata_2025_split huggingface dataset:
Potential of adopting a resilient safety culture toward improving the safety performance of construction organizations in Nigeria
Authors: Abubakar Mu’awiya , Zailani Bello Mahmud , Abdullahi Muhammad , Auwal Abubakar Muhammad 
Published: May 2021

Purpose
Despite the efforts of organizations to improve safety performance, shortfalls of the strategies have been reported in numerous studies around the globe. However, previous studies in countries with more organized construction sectors show that adopting a resilient safety culture by organizations has a tendency of improving safety performance. As safety culture is dynamic which differs with geographical context, the purpose of this paper is to achieve two objectives: testing the causal relationship between safety performance and resilience safety culture in the Nigerian construction environment; and determining the key components for ensuring the resilience of construction organizations with regards to safety.

Design/methodology/approach
Quantitative research approach was used. Data was collected using a structured questionnaire. The population of the study comprises small and medium construction organizations predominantly across the Northern region in the Nigerian built environment. A total of 180 questionnaires were distributed to construction managers and safety managers in respective organizations to serve as respondents to the study. Partial least square – structural equation modeling (PLS-SEM) was used to test the relationship between safety performance and resilience safety culture. While principal component analysis was used determining the key components for ensuring the resilience of construction organizations with regards to safety.

Findings
Findings of this study revealed that resilient safety culture has a significantly strong positive relationship with safety performance. Safety hazard recognition and effective safety response attitude were identified as the key components for guaranteeing a resilient safety culture.

Practical implications
With a view to achieve a consistently high safety performance, organizations have to acknowledge and anticipate unexpected hazardous events and provide the necessary safety resources to manage them. Furthermore, there is also the need to create awareness on recognized safety concerns on safety hazards, coupled with a dynamic risk response attitude to ensure consistent improvement in safety performance.

Originality/value
This study presents an alternative to the slow and reactive safety culture of the Nigerian built environment. This study builds on existing literature, and the findings explore the potential impact of adopting a resilient safety culture in construction organizations in Nigeria. This study provided further insights into key factors organizations need to focus on to ensure resilient nature. To the best of the authors’ knowledge, no prior study in this regard was conducted in Nigeria despite its apparent need.
Trends of construction industry in Malaysia and its emerging challenges
Authors: Dehdasht Gholamreza , Ferwati M. Salim , Abidin Nazirah Zainul , Oyedeji Michael Olubukola 
Published: May 2021

Purpose
The transition of Malaysia from a developing country to a developed country was considered in vision 2020, whereby an average construction contribution of 6.0% in growth domestic product (GDP) per annum was required. Despite this importance, still, the Malaysian construction industry has not reached the target yet. Understanding the weakness and strength of this industry can be an effective way to help the policymakers in selecting the best strategy in the promotion of the Malaysian construction industry in GDP growth. Hence, the purpose of this paper is to present an overview of the current issues and challenges faced by the contribution of the Malaysian construction industry in GDP growth.

Design/methodology/approach
To achieve this objective, all the latest statistical data presented by the Department of Statistic and Construction Industry Development Board in Malaysia until March 2018 being collected and interpreted. Furthermore, through the literature review, the most significant challenges encountered by the Malaysian construction industry identified, compared and presented.

Findings
The results highlight that the contribution of Malaysian construction into GDP is increasing with a gentle slope. Nonetheless, the Malaysian construction industry has a high impact on the employment rate. More investment in the construction sector is required to meet an average of 6% contribution in GDP. Also, to be able to seize new opportunities in the global construction market, more exerted efforts have to overcome the challenges faced by this industry.

Practical implications
This study offers practical implications to policy and decision makers in the Malaysian construction industry. Despite the constant growth of the Malaysian construction industry in recent years, there is a need for more investments and overcome to challenges to encounter an average of 6% contribution in GDP. This study provides an overview and insights to investors, stockholders and managers to formulate a long-term plan promoting the efficiency of the Malaysian construction industry.

Originality/value
This study through explaining, comparing and interpreting the real statistical data, through the tables, figures and graphs, simplified the understanding of the weakness and strength of the Malaysian construction industry.
Teaching approaches adopted by teachers in multicultural classrooms in secondary schools in Port Elizabeth, South Africa
Authors: Athiemoolam Logamurthie , Vermaak Annaline 
Published: May 2021

Purpose
The purpose of this paper is to examine teaching approaches adopted by teachers in ex-Model C English medium secondary schools (former mono-ethnic White Schools) currently in Port Elizabeth, South Africa, after schools became desegregated in 1994 and changed from being mono-ethnic to multi-ethnic.

Design/methodology/approach
This study was conducted through a qualitative research approach against the backdrop of a phenomenological design according to the interpretivist paradigm. Data were elicited through in-depth semi-structured interviews with 16 teachers from four ex-Model C English medium secondary schools (former White schools) who had experiences of teaching both pre-1994, when schools were mono-ethnic, and post-1994 when the schools were multi-ethnic. The interviews were transcribed, and the data were analysed and categorised into themes and sub-themes.

Findings
The findings indicated that although the teachers were positive towards teaching in multi-ethnic contexts, the majority of them tended to adopt approaches that militated against multicultural education in their classes; such as assimilationist, colour blind and business-as-usual approaches, while a minority incorporated various aspects of multicultural education in their teaching to a limited degree.

Originality/value
The study is original in the sense that it focused on the application of Castagno’s framework of typologies to teachers’ approaches to teaching in multi-ethnic classes. Research of this nature, which explored teachers’ approaches to diversity within their multi-ethnic contexts according to Castagno’s framework, has not been previously undertaken in South Africa.
On the determinants and prediction of corporate financial distress in India
Authors: Sehgal Sanjay , Mishra Ritesh Kumar , Deisting Florent , Vashisht Rupali 
Published: May 2021

PurposeThe main aim of the study is to identify some critical microeconomic determinants of financial distress and to design a parsimonious distress prediction model for an emerging economy like India. In doing so, the authors also attempt to compare the forecasting accuracy of alternative distress prediction techniques.Design/methodology/approachIn this study, the authors use two alternatives accounting information-based definitions of financial distress to construct a measure of financial distress. The authors then use the binomial logit model and two other popular machine learning–based models, namely artificial neural network and support vector machine, to compare the distress prediction accuracy rate of these alternative techniques for the Indian corporate sector.FindingsThe study’s empirical results suggest that five financial ratios, namely return on capital employed, cash flows to total liability, asset turnover ratio, fixed assets to total assets, debt to equity ratio and a measure of firm size (log total assets), play a highly significant role in distress prediction. The study’s findings suggest that machine learning-based models, namely support vector machine (SVM) and artificial neural network (ANN), are superior in terms of their prediction accuracy compared to the simple binomial logit model. Results also suggest that one-year-ahead forecasts are relatively better than the two-year-ahead forecasts.Practical implicationsThe findings of the study have some important practical implications for creditors, policymakers, regulators and other stakeholders. First, rather than monitoring and collecting information on a list of predictor variables, only six most important accounting ratios may be monitored to track the transition of a healthy firm into financial distress. Second, our six-factor model can be used to devise a sound early warning system for corporate financial distress. Three, machine learning–based distress prediction models have prediction accuracy superiority over the commonly used time series model in the available literature for distress prediction involving a binary dependent variable.Originality/valueThis study is one of the first comprehensive attempts to investigate and design a parsimonious distress prediction model for the emerging Indian economy which is currently facing high levels of corporate financial distress. Unlike the previous studies, the authors use two different accounting information-based measures of financial distress in order to identify an effective way of measuring financial distress. Some of the determinants of financial distress identified in this study are different from the popular distress prediction models used in the literature. Our distress prediction model can be useful for the other emerging markets for distress prediction.
Public reassurance following a collective trauma event: a scoping review of the evidence to inform police practice
Authors: Hickey Lyndal , Harms Louise , Kosta Lauren 
Published: May 2021

PurposeThis paper examines the empirical research on police reassurance following a collective trauma event (CTE).Design/methodology/approachUsing a scoping review methodology, this paper sought to establish the extent, range and nature of published literature on policing responses to collective traumatic events, and to identify key features of this form of direct practice. Included papers needed to focus on police responses oeassurance with the public related to events (pre-or post) that could be regarded as collective trauma events by nature or scale. Searches were conducted using the Web of Science, SCOPUS and PsychINFO databases for literature published between January 2000 and December 2019.FindingsFourteen articles met the inclusion criteria. The key themes identified: (1) measuring the impact of reassurance and community policing; (2) community attitudes to policing and social disorder/critical events; (3) police workforce responses to traumatic events; and (4) interventions to support police to respond to their community.Research limitations/implicationsFuture research needs to examine the elements that create a robust organisational infrastructure that can withstand the demands of policing in ordinary and extraordinary times. Fundamental to the studies in this review is the relationship between the police agencies and the community. The nature of this relationship and how it can be strengthened to ameliorate the negative impact of CTEs in communities needs further exploration.Originality/valueThis paper provides important findings that can inform future reassurance policing practice and research.
A finishing process via ultrasonic drilling for additively manufactured carbon fiber composites
Authors: Parandoush Pedram , Fernando Palamandadige , Zhang Hao , Ye Chang , Xiao Junfeng , Zhang Meng , Lin Dong 
Published: May 2021

Purpose
Additively manufactured objects have layered structures, which means post processing is often required to achieve a desired surface finish. Furthermore, the additive nature of the process makes it less accurate than subtractive processes. Hence, additive manufacturing techniques could tremendously benefit from finishing processes to improve their geometric tolerance and surface finish.

Design/methodology/approach
Rotary ultrasonic machining (RUM) was chosen as a finishing operation for drilling additively manufactured carbon fiber reinforced polymer (CFRP) composites. Two distinct additive manufacturing methods of fused deposition modeling (FDM) and laser-assisted laminated object manufacturing (LA-LOM) were used to fabricate CFRP plates with continuous carbon fiber reinforcement. The influence of the feedrate, tool rotation speed and ultrasonic power of the RUM process parameters on the aforementioned quality characteristics revealed the feasibility of RUM process as a finishing operation for additive manufactured CFRP.

Findings
The quality of drilled holes in the CFRP plates fabricated via LA-LOM was supremely superior to the FDM counterparts with less pullout delamination, smoother surface and less burr formation. The strong interfacial bonding in LA-LOM proven to be superior to FDM was able to endure higher cutting force of the RUM process. The cutting force and cutting temperature overwhelmed the FDM parts and induced higher surface damage.

Originality/value
Overall, the present study demonstrates the feasibility of a hybrid additive and subtractive manufacturing method that could potentially reduce cost and waste of the CFRP production for industrial applications.
The potential of fallow management to promote steppe bird conservation within the next EU Common Agricultural Policy reform
Authors: Sanz‐Pérez Ana , Sardà‐Palomera Francesc , Bota Gerard , Sollmann Rahel , Pou Nuria , Giralt David 
Published: May 2021

AbstractAgricultural intensification promoted by the European Common Agricultural Policy (CAP) has driven the decline of farmland and steppe bird populations. Policy tools to improve the environmental performance of the CAP—including Agri‐Environmental Schemes (AES) and Greening—have often failed, and the new EU agricultural reform (CAP post‐2020) offers a new opportunity to integrate effective measures addressing farmland bird declines. Fallow land and its management have proven beneficial for endangered steppe bird species by providing good quality habitat, and therefore has potential to become an effective conservation measure.We used a Hierarchical Distance Sampling community model to evaluate the ability of different conservation regimes to increase the abundance of 37 bird species including endangered steppe birds and other farmland birds in 13,309 ha of fallow land in north‐eastern Spain. The conservation regimes were based on different management prescriptions associated with AES, Greening and a local conservation measure promoting extensive fallow management targeting seven steppe bird species (Targeted Fallow Management, TFM).The positive effect of conservation measures increased as their design was more targeted to specific species. TFM increased the abundance of target and other farmland species, while AES and Greening had either no effect or negative effects on bird abundance, respectively. Effects of other Greening conservation measures related to landscape heterogeneity such as crop richness and field size were variable across the community.Policy implications. The success of Targeted Fallow Management as a conservation tool—in contrast to Agri‐Environmental Schemes and Greening—highlights the value of applying 1–2 agricultural practices just before the breeding season in fallows situated in optimal locations for target steppe bird species, to increase the abundance of these and other farmland bird species. We translate our findings into specific guidelines that we recommend including within the new eco‐schemes and AES present in the CAP post‐2020.
Processes driving understory community dynamics in Ulleungdo Island broadleaved forest, South Korea
Authors: Jung Songhie , Sim Hyung Seok , Kim Jun Soo , Bae Kwan Ho , Cho Yong‐Chan 
Published: May 2021

AbstractThe development stage of forest trees has considerable impact on the understory plant species; however, little research has been dedicated to in‐depth investigation of the changes in the ecological processes (deterministic and stochastic) over a mid‐term observational period (≥10 years). We analyzed the forest floor environment, including bare mineral soil, tree communities (density and biomass), understory plant species composition, diversity, cover, and changes in co‐occurring species in the Albongbunji Basin on Ulleungdo Island over an 11‐year period (2009–2019). The forest floor environment exhibited a broad spectrum of changes, beginning in the middle of the observation period and after heavy rainfall, and heavy sediment deposition events were observed. The overstory tree density showed patterns of a general increase and subsequent decline, and the overstory tree biomass increased and then remained steady. The heavy rainfall and sediment deposition as disturbance events also coincided with changes in species composition and the turnover rate of the understory plant communities, causing changes in major ecological processes. The general pattern of species co‐occurrence (zeta diversity) was fitted to an exponential model, indicating the dominance of stochastic processes. The results show a shift in relative importance from deterministic to stochastic processes in the successional stages of understory plant community assembly over a mid‐term observational period.
UNCERTAIN GROUNDS: Cartographic Negotiation and Digitized Property on the Urban Frontier
Authors: Cowan Thomas 
Published: May 2021

AbstractBased on ethnographic research with cadastral land surveyors and revenue bureaucrats in Gurgaon, North India, this article examines how the desire to etch out and impose digitized private property titles on India's urban frontier is mediated by the shifting socio‐materiality of bureaucratic work. The article argues that bureaucratic uncertainty structures the commodification of rural land in Gurgaon, and explores how digital technologies, designed to produce clarity, are being wielded by powerful groups to flexibly settle property claims. The bureaucratic office and cadastral survey are sites where competing actors 'work' land's intrinsic pliability, mobilize conflicting documentation, manipulate bureaucratic materials and navigate unmapped property claims in pursuit of territorial claims. In this context, much heralded digital property governance systems, the article argues, are not about producing clarity but rather capturing the conditions of uncertainty. Exploring the practices of surveyors and bureaucrats as they encounter land's shifting materiality and work with its multiple, conflicting representations, reveals the ways in which digitized property systems remain materially bound and always socially mediated, contested and secured.
Global norm‐making processes in contemporary multinationals
Authors: Almond Phil , Edwards Tony , Kern Philipp , Kim Kyoungmi , Tregaskis Olga 
Published: May 2021

AbstractThis paper contextualises and analyses global norm‐making concerning the nature of work within multinational companies. We develop a framework for analysing the relations between formal and informal elements of global norm‐making, stressing dynamic interdependencies between formality and informality on four dimensions: the codification of norms; enforcement mechanisms; the use of ‘platforms’ and aggregation with wider contexts. We investigate four cases of transnational norm‐making spaces across two multinationals, and analyse how these interdependencies work, both for norms and practices that emanate from the upper levels of corporate hierarchies, and those developed at lower levels among global operational teams.
Video‐assisted thoracoscopic surgical wedge resection using multiplanar computed tomography reconstruction‐fluoroscopy after CT guided microcoil localization
Authors: Lee Moon Ok , Jin Sung Yup , Lee Sang Kyung , Hwang Sangwon , Kim Tae Gyu , Song Yun Gyu 
Published: May 2021

AbstractBackgroundWhen early‐stage lung cancer is diagnosed, the recommended treatment is anatomical resection using video‐assisted thoracoscopic surgery (VATS) or robotic lobectomy. However, nonanatomical resection, known as wedge resection (WR), which is performed to diagnose pulmonary nodules, can be problematic for clinicians performing VATS or robotic‐assisted thoracic surgery (RATS). The purpose of this study was to evaluate the safety and effectiveness of VATS WR using multiplanar computed tomography reconstruction (CT MPR)‐fluoroscopy after CT guided microcoil localization to achieve complete pulmonary nodule resection.MethodsBetween January 2016 to December 2020, the medical records of patients who underwent CT‐guided microcoil localization for suspicious malignant pulmonary nodules and VATS WR with CT MPR and intraoperative fluoroscopy were retrospectively reviewed.ResultsAll 130 patients successfully underwent CT‐guided localization. The success rate of VATS WR with CT MPR‐intraoperative fluoroscopy was 98.5%. Mean operation time was 58 min (range 50–84 min). The postoperative complication rate was 3.1%, and no major postoperative complications were reported. The mean postoperative length of hospital stay was 4.7 days (range 4–8 days).ConclusionsVATS WR using CT MPR‐fluoroscopy after CT guided microcoil localization is a safe and highly effective approach for complete pulmonary nodule resection. However, even in uniport VATS or recently performed robotic surgery, localization and resection of nonvisible, nonpalpable pulmonary nodules is a challenging problem. Consequently, satisfactory outcomes can be expected if this technique is used for suspicious malignant pulmonary nodule resection.
Impacts of COVID‐19 and Price Transmission in U.S. Meat Markets
Authors: Ramsey A. Ford , Goodwin Barry K. , Hahn William F. , Holt Matthew T. 
Published: May 2021

AbstractCoronavirus 2019 (COVID‐19) has caused ongoing disruptions to U.S. meat markets via demand and supply‐side shocks. Abnormally high prices have been reported at retail outlets and meat packers have been accused of unfair business practices because of widening price spreads. Processing facilities have experienced COVID‐19 outbreaks resulting in shutdowns. Using weekly data on wholesale and retail prices of beef, pork, and poultry, we characterize the time series behavior and dynamic linkages of U.S. meat prices before the COVID‐19 pandemic. We model vertical price transmission using both linear and threshold autoregressive (AR) models and vector error correction (VEC) models. With the estimated models, we then compare price movements under COVID‐19 to model predictions. All three meat markets are well‐integrated and we observe unexpected, large price movements in April and May of 2020. Early COVID‐19 related shocks appear to be transitory with prices returning to expected levels at a pace consistent with the speed of transmission prior to the pandemic. This well‐functioning market process suggests a degree of resilience in U.S. meat supply chains.