bluuebunny/crossref_metadata_2025_split huggingface dataset:
Safety climate in construction: a systematic literature review
Authors: Xia Nini , Ding Sichao , Ling Tao , Tang Yuchun 
Published: April 2023

PurposeSafety climate plays an important role in the high-risk construction industry. Advances have been made in the understanding of construction safety climate in terms of four interrelated themes, specifically, its definition, measurement, antecedents and consequences. However, knowledge remains fragmented as the studies are scattered, and a systematic review covering these four themes is lacking. To address this research gap, this study aims to perform a systematic literature review of construction safety climate literature regarding the four themes.Design/methodology/approachFollowing the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) protocol guidelines, 178 eligible articles were obtained. This study provided thematic analysis of the 178 papers to identify what is known and what is not yet fully known regarding the four themes of construction safety climate. This study also conducted a descriptive analysis to identify the influential scholars, keywords, theories and research methods used by the literature, and finally presented an integrative framework directing future research.FindingsThe literature has not reached a consensus on the definition and measurement of construction safety climate. While it has identified the impact of safety climate on both behavioral and accident consequences, it has paid less attention to the antecedents and their underlying mechanisms regarding safety climate. Fang D. and Lingard H. are identified as the most influential authors in this field. “Questionnaire” and “safety behavior” are the keywords most closely related to safety climate. Unfortunately, the existing evidence for the causal relationships between safety climate and its antecedents and consequences is weak, as many studies lack clear theoretical substance, use a concurrent research design and focus only on individual-level climate perceptions. Finally, to support the development of construction safety climate around the four themes, potential research directions and research methods supporting them are illustrated.Originality/valueThis review makes contributions by integrating existing construction studies covering its definition, measurement, antecedents and consequences. This review also makes contributions to specific themes: no review exists on the antecedents of construction safety climate, and this review fills that gap; with regard to consequences, the existing reviews focus either on safety outcomes or safety behavior, but this review included both of them and further elaborated the different theories underpinning the relationships between safety climate and them. It is hoped that this systematic review will be helpful to the research community toward developing a nomologic network and promoting knowledge integration with respect to construction safety climate.
A study on barriers to women’s leadership in India through ISM
Authors: Kulkarni Aparna Bahar , Khatwani Ritesh , Mishra Mahima 
Published: April 2023

Purpose
This study aims to identify the critical barriers to women’s leadership in Indian corporate sector using the interpretive structural modeling (ISM) approach.

Design/methodology/approach
Through data obtained from extant literature and the expert opinion of women seeking higher managerial positions in the Indian corporate sector, this study identified total 18 barriers to women’s leadership. Thereafter, this study used the Delphi technique to identify the most critical barriers and ISM to understand the causal relationship among them, and then ranked them based on relevance.

Findings
Of the 13 critical barriers identified, corporate policies, conscious organizational bias and family responsibilities had the highest driving power. By contrast, inadequate career opportunities and the lack of risk-taking ability and assertiveness had the highest dependence power. Unconscious organizational bias and occupational segregation were other prominent barriers.

Research limitations/implications
This study establishes the interrelationships between women’s leadership barriers. It provides a well-defined model which helps to get theoretical insight considering barriers for women leaders in their career progression in the Indian context. Based on the ISM model, these findings can help academicians and researchers gain deep insights into the barriers to women’s leadership in the Indian context, as no studies have been found in the literature concerning the given subject.

Practical implications
Based on the findings, corporations and policymakers can design inclusive leadership policies to support women as they climb the corporate ladder and to enhance their contribution to organizational success.

Originality/value
To the best of the authors’ knowledge, this is the first study to identify barriers to women’s leadership in India using ISM analysis.
Probably something: a multi-layer taxonomy of non-fungible tokens
Authors: Hartwich Eduard , Ollig Philipp , Fridgen Gilbert , Rieger Alexander 
Published: April 2023

PurposeThis paper aims to establish a fundamental and comprehensive understanding of non-fungible tokens (NFTs) by identifying and structuring common characteristics within a taxonomy. NFTs are hyped and increasingly marketed as essential building blocks of the Metaverse. However, the dynamic evolution of the NFT space has posed challenges for those seeking to develop a deep and comprehensive understanding of NFTs, their features and their capabilities.Design/methodology/approachUtilizing common guidelines for the creation of taxonomies, the authors developed (over 3 iterations), a multi-layer taxonomy based on workshops and interviews with 11 academic and 15 industry experts. Through an evaluation of 25 NFTs, the authors demonstrate the usefulness of the taxonomy.FindingsThe taxonomy has 4 layers, 14 dimensions and 42 characteristics, which describe NFTs in terms of reference object, token properties, token distribution and realizable value.Originality/valueThe authors' framework is the first to systematically cover the emerging NFT phenomenon. This framework is concise yet extendible and presents many avenues for future research in a plethora of disciplines. The characteristics identified in the authors' taxonomy are useful for NFT- and Metaverse-related research in finance, marketing, law and information systems. Additionally, the taxonomy can serve as an information source for policymakers as they consider NFT regulation.
Understanding social media discontinuance behavior in China: a perspective of social cognitive theory
Authors: Gan Chunmei , Li Hongxiu , Liu Yong 
Published: April 2023

PurposeTo understand the mechanisms underlying social media discontinuance behavior, this study explores factors affecting social media discontinuance behavior from the perspective of social cognitive theory (SCT).Design/methodology/approachBased on SCT, this study puts forward a theoretical model incorporating habit, excessive use and negative emotions to predict social media discontinuance behavior. The proposed research model was empirically tested with 465 responses collected from WeChat users in China via an online survey. WeChat is one of the most popular social media in China. However, WeChat also faces the challenges of reduced or terminated usage among its users. Partial least squares structural equation modeling (PLS-SEM) technique was used to analyze the data.FindingsThe research results in this study show that habit exerts a negative effect on social media discontinuance behavior, while exhaustion and regret have positive influences. In addition, habit positively affects excessive use, which further leads to negative emotions of social media exhaustion and regret. Moreover, gender moderates the relationship between habit and social media discontinuance behavior.Originality/valueThis study adds to the literature of information system (IS) use lifecycle by investigating user behavioral changes regarding a transition from habituated to excessive use and further to discontinuance behavior. This study also helps elucidate the complex role of habit by explaining social media discontinuance from the social cognitive view. Furthermore, this study advances the current understanding of gender difference in social media discontinuance in the Chinese context. The study also offers insights to practitioners on how to prevent individuals from discontinuing their use of social media.
Bruneian SMEs amid the COVID-19 pandemic: challenges for the Halal food processing industry
Authors: Haji Shahlehi Syahnur Farhana , Shaya Vivi Nabilah , Ismail Kamariah , Kawi Farahiyah 
Published: April 2023

Purpose
Despite the world’s effort in grappling with the coronavirus disease that has affected many sectors globally, knowledge and research on the COVID-19 pandemic as well as on the halal food and beverage industry remain limited, particularly in Brunei Darussalam. Hence, the purpose of this paper is to investigate the challenges that small- and medium-sized enterprises (SMEs) in the halal food processing industry face amid the COVID-19 pandemic in the sultanate.

Design/methodology/approach
A qualitative approach based on four semi-structured interviews was employed using a purposive sampling of managers and business owners of the manufacturing SMEs. Several government agencies were also interviewed to further supplement the findings. This paper also uses the support from a review of relevant academic journal articles, and other secondary data including newspapers and websites, to uncover the hindering factors surrounding the phenomenon.

Findings
Four themes emerged, covering four overarching and inter-related challenges including limited production; closure of retail stores; delay in exporting; and less sales to cover overheads.

Research limitations/implications
This study positively contributes to the understanding of the challenges that the COVID-19 pandemic has brought into the country as well as adds and enriches the halal research sphere. Several implications for the SMEs, policymakers, as well as academic scholars, and limitations are also discussed.

Originality/value
To the best of the authors’ knowledge, this study is among the first to investigate the halal food processing industry in Brunei Darussalam especially, during the time of uncertainties such as the COVID-19 era. The paper’s value also lies in addressing the gap that there is a need to study on the impact of this outbreak on SMEs in the developing countries, inclusive of Brunei Darussalam.
The impact of digital corporate social responsibility on social entrepreneurship and organizational resilience
Authors: Al-Omoush Khaled , Ribeiro-Navarrete Belen , McDowell William C. 
Published: April 2023

PurposeThis study examines the impact of digital corporate social responsibility (CSR) on social entrepreneurship, organizational resilience and competitive intelligence during the coronavirus disease 2019 (COVID-19) crisis. It also examines the impact of competitive intelligence on social entrepreneurship and organizational resilience.Design/methodology/approachData were collected from telecommunication companies in Jordan with a sample of 223 managers, using Smart-PLS for analysis and testing the research model and hypotheses.FindingsThe results reveal a significant impact of digital CSR on social entrepreneurship. They show that digital CSR significantly impacts organizational resilience. The findings also indicate a significant role of digital CSR in competitive intelligence. This study shows that social entrepreneurship significantly impacts organizational resilience. The results also confirm the impact of competitive intelligence on social entrepreneurship. Finally, the results confirm that competitive intelligence significantly impacts organizational resilience.Originality/valueThis study provides valuable academic and practical insights into digital CSR practices, social entrepreneurship and how to support organizational resilience during crises.
Laughter and mental health: a case study of Dr Madan Kataria
Authors: Kataria Madan , Ben-Moshe Ros , Gonot-Schoupinsky Freda 
Published: April 2023

Purpose
The purpose of this paper is to meet Dr Madan Kataria, the founder and creator of Laughter Yoga.

Design/methodology/approach
This case study is presented in two sections: a transcribed autobiography of Madan Kataria, followed by a ten-question interview with him.

Findings
The popularity of Laughter Yoga (LY) has spread from a handful of people since 1995 to a global movement with tens of thousands of people who commune in person and online, laughing for the health of it.

Research limitations/implications
This is a personal narrative, albeit from someone who has been at the forefront of using intentional laughter for well-being for 30 years.

Practical implications
LY promotes an array of physical, psychological and emotional health outcomes that does not rely on humour or jokes to stimulate laughter. It is a beneficial resource suited for use in vulnerable population groups, including people experiencing depression or anxiety.

Social implications
The LY methodology is suited to people of all ages and abilities, enhancing mental health, decreasing stress levels and growing social connections and community through the universal language of laughter.

Originality/value
To the best of the authors’ knowledge, this is the first case study and interview with Dr Kataria that delves into his personal background, outlining his motivation and experience behind founding LY internationally.
Beyond technical mastery: inequality in doctoral research skill development in the biological sciences
Authors: McCain Jesse , Roksa Josipa 
Published: April 2023

Purpose
The purpose of this study is to examine how doctoral students in the biological sciences understand their research skill development and explore potential racial/ethnic and gender inequalities in the scientific learning process.

Design/methodology/approach
Based on interviews with 87 doctoral students in the biological sciences, this study explores how doctoral students describe development of their research skills. More specifically, a constructivist grounded theory approach is employed to understand how doctoral students make meaning of their research skill development process and how that may vary by gender and race/ethnicity.

Findings
The findings reveal two emergent groups, “technicians” who focus on discrete tasks and data collection, and “interpreters” who combine technical expertise with attention to the larger scientific field. Although both groups are developing important skills, “interpreters” have a broader range of skills that support successful scholarly careers in science. Notably, white men are overrepresented among the “interpreters,” whereas white women and students from minoritized racial/ethnic groups are concentrated among the “technicians.”

Originality/value
While prior literature provides valuable insights into the inequalities across various aspects of doctoral socialization, scholars have rarely attended to examining inequalities in research skill development. This study provides new insights into the process of scientific learning in graduate school. Findings reveal that research skill development is not a uniform experience, and that doctoral education fosters different kinds of learning that vary by gender and race/ethnicity.
Surface‐related multiple prediction for ocean‐bottom node data based on demigration using downgoing wave imaging data
Authors: Tan Jun , Wang Jianhua , Song Peng , Wang Shaowen , Xia Dongming , Du Guoning , Wang Qianqian 
Published: April 2023

AbstractOcean‐bottom node exploration has developed rapidly in marine seismic exploration. However, due to no illumination for the seafloor, and the observation system of the ‘less traces but more shots’ mode, the conventional surface‐related multiples elimination meets challenges for the application in the ocean‐bottom node exploration. This paper develops a new three‐dimensional surface‐related multiples elimination technique for ocean‐bottom node data. First, a three‐dimensional Kirchhoff pre‐stack time mirror migration algorithm is proposed to realize the accurate imaging for the seabed. Second, the time domain Kirchhoff demigration method is used to construct the contribution traces for multiples prediction. Finally, the surface multiples can be predicted based on the equation derived in the paper. Model tests and field data processing prove that our method can accurately predict the surface‐related multiples for ocean‐bottom node data and be helpful to the multiple elimination, which shows that the proposed technique has potential in actual ocean‐bottom node data processing.
Management intensity affects insect pests and natural pest control on Arabica coffee in its native range
Authors: Shimales Tamiru , Mendesil Esayas , Zewdie Beyene , Ayalew Biruk , Hylander Kristoffer , Tack Ayco J. M. 
Published: April 2023

Abstract

Agroforestry systems provide opportunities to reduce the trade‐off between agricultural production and biodiversity, for example by enhancing a diverse community of species potentially acting as natural pest control agents. While management of agroforestry systems is intensifying across the globe, we lack insights into the impact of management intensity on pest levels and natural pest control, especially along broad management gradients and as compared with natural forests.

We assessed the impact of management intensity on major insect pests (the coffee blotch miner, the serpentine leaf miner, the coffee leaf skeletonizer and damage by other free‐feeding herbivores) and natural pest control by parasitoid wasps across sixty sites in the centre of origin of Arabica coffee in southwestern Ethiopia. Within this region, coffee is growing along a broad management gradient ranging from little or no management in the natural forest to intensively managed commercial plantations.

In the wet season, pest levels were largely similar in the natural forest, semi‐forest and semi‐plantation systems, whereas pests reached outbreak densities in the most intensively managed plantation system. In contrast, management intensity did not significantly affect pest levels in the dry season. The insect pests differed in their seasonal dynamics, consistently declined with elevation and were largely unaffected by shade levels. Parasitism rate of the coffee blotch miner was lower, and the parasitoid community was distinct, in the most intensively managed plantation system.

Synthesis and applications : Our findings support the hypothesis that the weaker top‐down control by parasitoids in the intensively managed plantation sites leads to higher pest levels, and that—at least for some pest species—there is a threshold in the effect of management intensity on pest levels and natural pest control. It is important to consider such non‐linear relationships to maintain or enhance the sustainability of agroforestry systems during management intensification. Overall, our findings highlight that ecological knowledge of natural pest control can be used to intensify production to improve the livelihood of smallholder farmers without jeopardizing natural pest control but only up to a certain point where it starts to deteriorate.
The significance of meeting Dawes–Redman criteria in computerised antenatal fetal heart rate assessment
Authors: Bhide Amarnath , Meroni Anna , Frick Alexander , Thilaganathan Basky 
Published: April 2023

AbstractObjectiveTo investigate the significance of not meeting Dawes–Redman criteria on computerised cardiotocography in high‐risk pregnancies.DesignRetrospective observational study.SettingUK university hospital.PopulationHigh‐risk pregnancies undergoing antenatal assessment.MethodsWe interrogated the database for records of computerised fetal heart rate assessment and pregnancy outcomes.Main outcome measuresNeonatal outcome and stillbirths.ResultsExcluding duplicate assessment in the same pregnancy, 14 025 records with complete information on the criteria of normality having been met and the outcome of the pregnancy were available. Criteria were not met for 907 records (6.46%). The gestational age of assessment was lower in the group not meeting criteria of normality. Overall, 32 stillbirths occurred in normally formed fetuses (2.28/1000). Stillbirths were more frequent in the group not meeting criteria (odds ratio [OR] 8.78, 95% CI 4.28–18.02). This finding persisted even after records with abnormally low short‐term variation (STV) were excluded. The confidence intervals around the rate of stillbirth in the two groups overlapped beyond an STV of 8 ms.ConclusionsApproximately 1:16 pregnancies do not meet the criteria of normality. The criteria are not met more often at preterm gestation than at term. The risk of stillbirth was higher in the group not meeting criteria of normality, even if cases with low STV are excluded. Cases not meeting criteria should be followed up closely, unless the STV is ≥8 ms. Stillbirths still occurred in the group meeting criteria, but the rate was lower than in the general population.
Molecular detection and characterization of foodborne bacteria: Recent progresses and remaining challenges
Authors: Hadi Joshua , Rapp Delphine , Dhawan Sharduli , Gupta Sandeep K. , Gupta Tanushree B. , Brightwell Gale 
Published: April 2023

AbstractThe global food demand is expected to increase in the coming years, along with challenges around climate change and food security. Concomitantly, food safety risks, particularly those related to bacterial pathogens, may also increase. Thus, the food sector needs to innovate to rise to this challenge. Here, we discuss recent advancements in molecular techniques that can be deployed within various foodborne bacteria surveillance systems across food settings. To start with, we provide updates on nucleic acid‐based detection, with a focus on polymerase chain reaction (PCR)‐based technologies and loop‐mediated isothermal amplification (LAMP). These include descriptions of novel genetic markers for several foodborne bacteria and progresses in multiplex PCR and droplet digital PCR. The next section provides an overview of the development of clustered regularly interspaced short palindromic repeats (CRISPR) and CRISPR‐associated (Cas) proteins systems, such as CRISPR‐Cas9, CRISPR‐Cas12a, and CRISPR‐Cas13a, as tools for enhanced sensitive and specific detection of foodborne pathogens. The final section describes utilizations of whole genome sequencing for accurate characterization of foodborne bacteria, ranging from epidemiological surveillance to model‐based predictions of bacterial phenotypic traits through genome‐wide association studies or machine learning.