bluuebunny/crossref_metadata_2025_split huggingface dataset:
Women on corporate boards in a predominantly male-dominated society: the case of Peru
Authors: Avolio Beatrice , Pretell Carolina , Valcazar Edy 
Published: February 2023

Purpose
This phenomenological study aims to analyze the factors perceived by women to be important to their nomination and selection for board positions in Peruvian public companies. The importance of this study lies in understanding the qualities that are important for women to possess, as perceived by those women who have reached leadership positions, achieving empowerment and economic autonomy.

Design/methodology/approach
The study population consisted of 33 women who became company directors in 2019, according to the data of the Lima Stock Exchange. From this group, the authors conducted 12 in-depth interviews with those women who accepted to participate in this study. The information was analyzed based on the stages suggested by Moustakas (1994).

Findings
This study proposes a conceptual framework with 13 factors perceived by women during their nomination and selection for board positions in Latin American public companies, focusing on the case of Peru. The factors are training and learning, professional experience, self-awareness, attitude, resilience, networking, communication skills, empathy, “hard work,” capacity to make important decisions, soft skills, support networks and allies and passion for their work.

Originality/value
Based on the experiences of the participants, this study identified 13 critical factors for women to achieve leadership positions as board members. From a phenomenological approach, the relevance of said factors is that they have emerged from the point of view of women who live in a patriarchal and collectivistic culture with a high gender gap index.
Capital structure and earnings management: evidence from Pakistan
Authors: Naz Aziza , Sheikh Nadeem Ahmed 
Published: January 2023

Purpose
The purpose of this study is to investigate whether capital structure affects accruals and real earnings management (AEM and REM) of nonfinancial firms listed on Pakistan Stock Exchange (PSX). Moreover, to investigate whether institutional development (ID) moderates the relation between capital structure and earnings management (EM).

Design/methodology/approach
Data were taken from annual reports of nonfinancial firms listed on the PSX during 2012–2019. Data of 150 firms for a period of eight years were found completed with respect to the variables used in this study. The generalized moments of methods estimator is used to estimate the effects of explanatory variables on earning management. Furthermore, fixed and random effects methods were used to estimate the impact of capital structure on AEM and REM.

Findings
Results show that all three measures of capital structure (i.e. total debt ratio, long-term debt ratio and short-term debt ratios) are inversely related to AEM. In contrast, all measures of capital structure are positively related to abnormal cash flow from operations. Total debt ratio and long-term debt ratio are negatively while short-term debt ratio is positively related to abnormal discretionary expenses. Total debt ratio and short-term debt ratio are significant and negatively related to abnormal production cost. Additionally, interaction terms of ID (i.e. rule of law and regulatory quality) significantly moderate the controlling role of debt on discretionary accruals. In sum, results show that the use of debt induces lender's monitoring. Consequently, managers move toward REM because of lower probability of being exposed.

Practical implications
Findings of this study have significant implications for managers and regulatory authorities. For instance, the use of debt increases the lender’s influence which restricts the managers to be involved in EM practices. Moreover, regulatory authorities are required to address the loopholes in regulations to refrain the managers to be engaged in EM.

Originality/value
To the best of the authors’ knowledge, this is the first study in Pakistan that has explored the impact of capital structure on AEM and REM. More importantly, a careful review of the literature affirms that this study is among the few studies that have used ID as a moderating variable to explain the relation between capital structure and EM.
Development levels of stakeholder relationships in collaborative projects: challenges and preconditions
Authors: Ali Farooq , Haapasalo Harri 
Published: January 2023

PurposeThis article aims to address the confusion related to the meanings of interorganisational cooperation, control, coordination and collaboration in collaborative projects by developing a conceptual framework. From this, the authors aim to describe the links among these concepts in terms of development levels of stakeholder relationships. In addition, the authors aim to identify challenges and preconditions in relation to developing relationships at different levels.Design/methodology/approachThe authors have adopted the directed approach of qualitative content analysis method to validate and extend the conceptual framework of this study. The context of this study is a large hospital construction project located in northern Finland.FindingsThe findings of this study suggest that collaboration is a multilevel process of active engagement of multiple stakeholders. These stakeholders must have a high degree of shared understanding in terms of cooperation, control and coordination to achieve the mutually desired outcomes. This study also identifies the challenges that project stakeholders could face in developing collaborative relationships and propose preconditions for the same.Practical implicationsThis study provides a better understanding for project managers to manage interorganisational collaborative construction projects successfully. The outcome of this research would be beneficial to project management team to deliver dispute-free construction projects.Originality/valueExisting practical research on the development of relationships at different levels in collaborative construction projects is limited. This study offers a framework for the same which is validated in a real-life project.
A systematic automated grasping approach for automatic manipulation of fabric with soft robot grippers
Authors: Liu Yuqi , Su Junqiang , Li Xinyu , Jin Guoqing 
Published: February 2023

Purpose
The garment industry will be one of the major beneficiaries of advances in smart manufacturing, as it is highly labor-intensive and heavily depends on labor force. Manipulating robots in human environments has made great strides in recent years. However, the main research has focused on rigid, solid objects and core capabilities such as grasping, placing remain a challenging problem when dealing with soft textiles. The experimental results indicate that adopting the proposed bionic soft finger will provide garment manufacturers with smart manufacturing capabilities. Then, the purpose of this paper is to utilize the flexibility of the soft finger to transfer fabric layer by layer without damage in garment automation.

Design/methodology/approach
In this paper, a new way to separate layer by layer pieces of fabric has been inspired by the rise of soft robotics and their applications in automation. Fabric gripping is accomplished by wiping deformation and pinching the fabric. A single fabric piece is separated from cutting pile by the soft finger in four steps: making an arch by pressing, wiping deformation, grasping and separating, and placing.

Findings
The case study demonstrated that the soft finger arrangement for automated grasping of fabric pieces of a garment can be successfully applied to delicate fabric. A combination of cloth shape and weight determines the number of soft fingers. In addition, the soft finger was tested on different types of fabrics to determine its performance and application capabilities. The technology may be used to produce clothing intelligently in the future, such as intelligent stacking, intelligent transportation and intelligent packaging, to increase clothing industry productivity.

Originality/value
An industrial bionic soft finger gripping system is proposed in this paper for application in the field of fabric automatic manipulation. A piece of fabric could be picked up and released layer by layer from a stack by the proposed gripper without creating any damage to it. Soft grippers have the right proportion of softness and rigidity like a human being. A soft finger has a potential affinity for soft materials such as fabrics without damaging either their surface or their properties.
Disclosures of labour practices: perspectives of legitimacy and impression management
Authors: Li Zhongtian , Haque Shamima , Chapple Larelle (Ellie) 
Published: January 2023

PurposeThe purpose of this paper is to analyse how an influential supplier of electronics manufacturing services (i.e. Foxconn) discloses its labour practices.Design/methodology/approachThe analysis is conducted through the theoretical lens of legitimacy and impression management. This particular firm is selected as it provides a rich case on labour practice disclosures in a setting where significant labour malpractice incidents occurred from 2009 to 2011. The sample period covers 12 years of the firm's labour practice disclosures (2008–2019) to match with publicly available information that is used to construct expert comparative accounts on the disclosures. The authors corroborate the comparative accounts with sociological studies and responsibility reports from the major customer (i.e. Apple).FindingsThe authors found that the disclosures become more detailed over successive years. Occupational health and safety issues are predominantly reported, followed by issues relating to vocational guidance and training and then employment policy. Regarding impression management strategies, defensive strategies embedded in the disclosures are rarely detected and assertive strategies are persistently used from 2008 to 2019 to maintain legitimacy. The comparative accounts show the persistent use of one defensive strategy (i.e. omission) to maintain and regain legitimacy. In other words, as an economic strategy, material labour practice issues are persistently omitted in the disclosures. The incidents discernibly affect how Foxconn discloses labour practices.Originality/valueThe authors’ study contributes to the limited extant research on suppliers' labour practice disclosures from the perspective of legitimacy theory and impression management. The results will be of great interest to researchers, investors, assurers and other stakeholders.
The eWOM adoption model in the hospitality industry: the moderating effect of the vlogger’s review
Authors: Le Hoang Tran Phuoc Mai , Ryu Sann 
Published: February 2023

Purpose
Vloggers (video bloggers) have emerged as a new phenomenon in social media marketing, especially in the hotel industry, where user-generated reviews can strongly influence purchase decisions. Therefore, this paper aims to build an electronic word-of-mouth (eWOM) adoption model (EAM) that incorporates source evaluation attributes (information quality, major influence and source credibility), trust in eWOM and eWOM intention (EWOMI) and booking intention and investigate the moderation of negative reviews from vloggers on relationships in the EAM.

Design/methodology/approach
This paper conducted two studies (ns1 = 446, ns2 = 374). The data were collected through an online and face-to-face survey with an experimental design. This paper conducted covariance-based structural equation model to examine main effects and applied a multiple-group analysis to test the moderating effect of vlogger reviews.

Findings
Three attributes of source evaluation are important predictors of trust in eWOM, which positively impact eWOM and booking intention. EWOMI also positively affects booking intention. Moreover, the negative review of vloggers can lower the effects of information quality on trust and of trust on EWOMI in Study 1 and on hotel booking intention in Study 2.

Originality/value
This study builds the EAM model for the hospitality context and provides novel insights into the moderating effects of vloggers’ negative reviews on the relationships in the EAM.
Text mining techniques for identifying failure modes
Authors: Malan Francina , Jooste Johannes Lodewyk 
Published: February 2023

PurposeThe purpose of this paper is to compare the effectiveness of the various text mining techniques that can be used to classify maintenance work-order records into their respective failure modes, focussing on the choice of algorithm and preprocessing transforms. Three algorithms are evaluated, namely Bernoulli Naïve Bayes, multinomial Naïve Bayes and support vector machines.Design/methodology/approachThe paper has both a theoretical and experimental component. In the literature review, the various algorithms and preprocessing techniques used in text classification is considered from three perspectives: the domain-specific maintenance literature, the broader short-form literature and the general text classification literature. The experimental component consists of a 5 × 2 nested cross-validation with an inner optimisation loop performed using a randomised search procedure.FindingsFrom the literature review, the aspects most affected by short document length are identified as the feature representation scheme, higher-order n-grams, document length normalisation, stemming, stop-word removal and algorithm selection. However, from the experimental analysis, the selection of preprocessing transforms seemed more dependent on the particular algorithm than on short document length. Multinomial Naïve Bayes performs marginally better than the other algorithms, but overall, the performances of the optimised models are comparable.Originality/valueThis work highlights the importance of model optimisation, including the selection of preprocessing transforms. Not only did the optimisation improve the performance of all the algorithms substantially, but it also affects model comparisons, with multinomial Naïve Bayes going from the worst to the best performing algorithm.
Consumer discrimination in service recovery situations
Authors: Rohden Simoni F. , Pizzutti Cristiane 
Published: February 2023

PurposeDiscrimination in the marketplace has recently received increasing attention in marketing discussions, especially related to service encounters. This research explores the effect of receiving lower (vs higher) financial compensation than someone perceived to be from an upper social class (vs lower) on consumer reactions after a service recovery situation.Design/methodology/approachTwo experimental studies with two different populations.FindingsIndividuals who receive less compensation than someone from a higher socioeconomic status tend to attribute differential treatment to discrimination. Both individuals who received less and who received higher compensation are willing to engage in negative word of mouth, however, only consumers who were discriminated against want to take revenge on the company.Originality/valuePrevious literature indicates that consumers' reactions after service problems are mediated by justice perceptions. This research offers a new perspective of social comparison in service recovery situations by considering the role of discrimination perceptions.
Savanna resilience to droughts increases with the proportion of browsing wild herbivores and plant functional diversity
Authors: Irob Katja , Blaum Niels , Weiss‐Aparicio Alex , Hauptfleisch Morgan , Hering Robert , Uiseb Kenneth , Tietjen Britta 
Published: January 2023

Abstract

Maintaining the resilience and functionality of savannas is key to sustaining the ecosystem services they provide. This maintenance is largely dependent on the resilience of savannas to stressors, such as prolonged droughts. The resilience to drought is largely determined by the interaction of herbivores and the functional composition of vegetation. So far, our understanding and ability to predict the response of savannas to drought under different types of rangeland use and as a function of vegetation composition are still limited.

In this study, we used the ecohydrological, spatially‐explicit savanna model EcoHyD to determine if the resilience of a savanna rangeland towards prolonged droughts can be enhanced by the choice of rangeland use type (grazer‐dominated, mixed‐feeders or browser‐dominated) and animal density. We evaluated the ability of a Namibian savanna system to withstand droughts and recover from droughts based on its perennial grass cover and the overall species composition.

Generally, we determined a low resilience under high grazer densities. Most importantly, we found that functional diversification of herbivores and plants acted as resilience insurance against droughts, leading to greater resistance and recovery of perennial grasses. In particular, a higher proportion of herbivores allowed for higher resilience, probably also due to a short‐term switch to more drought‐resistant or unpalatable species.

In this case, herbivore diversification was of high self‐regulatory value by reestablishing trophic complexity, reducing the need for additional management interventions.

Synthesis and applications: Savanna systems will be more resistant to drought if (i) a dense perennial grass cover is maintained, protecting the topsoil from heat‐induced water losses and erosion, encompassing functionally important species that are particularly well adapted to water stress and that are palatable, if (ii) the grazing pressure is adjusted to the productivity of the system, and (iii) the herbivore community includes browsers.
Improving Equitability and Inclusion for Testing and Detection of Lead Poisoning in US Children
Authors: SOBIN CHRISTINA , GUTIéRREZ‐VEGA MARISELA , FLORES‐MONTOYA GISEL , RIO MICHELLE DEL , ALVAREZ JUAN M. , OBENG ALEXANDER , AVILA JALEEN , HETTIARACHCHI GANGA 
Published: January 2023

Policy Points
Child lead poisoning is associated with socioeconomic inequity and perpetuates health inequality.
Methods for testing and detection of child lead poisoning are ill suited to the current demographics and characteristics of the problem.
A three‐pronged revision of current testing approaches is suggested.
Employing the suggested revisions can immediately increase our national capacity for equitable, inclusive testing and detection.
AbstractChild lead poisoning, the longest‐standing child public health epidemic in US history, is associated with socioeconomic inequity and perpetuates health inequality. Removing lead from children's environments (“primary prevention”) is and must remain the definitive solution for ending child lead poisoning. Until that goal can be realized, protecting children's health necessarily depends on the adequacy of our methods for testing and detection. Current methods for testing and detection, however, are no longer suited to the demographics and magnitude of the problem. We discuss the potential deployment and feasibility of a three‐pronged revision of current practices including: 1) acceptance of capillary samples for final determination of lead poisoning, with electronic documentation of “clean” collection methods submitted by workers who complete simple Centers for Disease Control and Prevention–endorsed online training and certification for capillary sample collection; 2) new guidance specifying the analysis of capillary samples by inductively coupled plasma mass spectrometry or graphite furnace atomic absorption spectrometry with documented limit of detection ≤0.2 μg/dL; and 3) adaptive “census tract–specific” universal testing and monitoring guidance for children from birth to 10 years of age. These testing modifications can bring child blood lead level (BLL) testing into homes and communities, immediately increasing our national capacity for inclusive and equitable detection and monitoring of dangerous lower‐range BLLs in US children.
Research progress regarding the effect and mechanism of dietary phenolic acids for improving nonalcoholic fatty liver disease via gut microbiota
Authors: Ji Lin , Deng Huan , Xue Huimin , Wang Jiting , Hong Kexin , Gao Yunxiao , Kang Xiping , Fan Guanghe , Huang Weidong , Zhan Jicheng , You Yilin 
Published: January 2023

AbstractPhenolic acids (PAs), a class of small bioactive molecules widely distributed in food and mainly found as secondary plant metabolites, present significant advantages such as antioxidant activity and other health benefits. The global epidemic of nonalcoholic fatty liver disease (NAFLD) is becoming a serious public health problem. Existing studies showed that gut microbiota (GM) dysbiosis is highly associated with the occurrence and development of NAFLD. In recent years, progress has been made in the study of the relationship among PA compounds, GM, and NAFLD. PAs can regulate the composition and functions of the GM to promote human health, while GM can increase the dietary sources of PAs and improve its bioavailability. This paper discussed PAs, GM, and their interrelationship while introducing several representative dietary PA sources and examining the absorption and metabolism of PAs mediated by GM. It also summarizes the effect and mechanisms of PAs in improving and regulating NAFLD via GM and their metabolites. This helps to better evaluate the potential preventive effect of PAs on NAFLD via the regulation of GM and expands the utilization of PAs and PA‐rich food resources.
ForensicNet: Modern convolutional neural network‐based image forgery detection network
Authors: Tyagi Shobhit , Yadav Divakar 
Published: January 2023

AbstractThe advancements in Image editing techniques produce realistic‐looking artificial images with ease. These images can easily circumvent the forensic systems making the authentication process more tedious and difficult. To overcome this problem, we introduce a modern convolutional neural network (CNN) named ForensicNet, inspired by the recent developments in computer vision. The three major contributions of our CNNs are inverted bottleneck, separate downsampling layers, and using depth‐wise convolutions for mixing information in the spatial dimension. The inverted bottlenecks help improve accuracy and reduce network parameters/FLOPs. The separate downsampling layers help converge the network. The normalization layers also help stabilize training whenever the spatial resolution is changed. The depth‐wise convolution is a grouped convolution where the number of groups and channels are the same. The experiments show that ForensicNet outperforms the state‐of‐the‐art methods by a large margin.