bluuebunny/crossref_metadata_2025_split huggingface dataset:
Developmental stage-dependent effects of perceived predation risk on physiology and fledging success of tree swallows (Tachycineta bicolor)
Authors: McNew Sabrina M. , Taff Conor C. , Zimmer Cedric , Uehling Jennifer J. , Ryan Thomas A. , van Oordt David Chang , Houtz Jennifer L. , Injaian Allison S. , Vitousek Maren N. 
Published: December 2022

ABSTRACTThe risk of predation directly affects physiology, behavior, and fitness of wild birds. Social interactions with conspecifics may affect how individuals respond to stressors such as predators. Strong social connections could help individuals recover from a stressful experience; however, competitive interactions also have the potential to exacerbate stress. Few studies have investigated the interaction between environmental stressors and the social landscape in wild bird populations. Here, we experimentally simulated predation attempts on breeding female tree swallows (Tachicyneta bicolor). At the same time, we manipulated female breast plumage color, a key social signal. Simulated predation events on tree swallows negatively affected their nestlings’ condition, telomere lengths, and fledging success. However, the effects of experimental manipulations were timing-dependent: simulated predation during the early nestling period was more detrimental than “predation” during incubation. Contrary to our expectations, manipulation of the social environment did not affect the response of tree swallows to simulated predation. However, manipulating female plumage during the nestling period did affect nestling size, indicating an effect of the social environment on reproductive success. Our data demonstrate that transient stressors on breeding female birds can have carry-over effects on their nestlings, some of which may be long-lasting.
A machine learning-based human resources recruitment system for business process management: using LSA, BERT and SVM
Authors: Tian Xiaoguang , Pavur Robert , Han Henry , Zhang Lili 
Published: December 2022

PurposeStudies on mining text and generating intelligence on human resource documents are rare. This research aims to use artificial intelligence and machine learning techniques to facilitate the employee selection process through latent semantic analysis (LSA), bidirectional encoder representations from transformers (BERT) and support vector machines (SVM). The research also compares the performance of different machine learning, text vectorization and sampling approaches on the human resource (HR) resume data.Design/methodology/approachLSA and BERT are used to discover and understand the hidden patterns from a textual resume dataset, and SVM is applied to build the screening model and improve performance.FindingsBased on the results of this study, LSA and BERT are proved useful in retrieving critical topics, and SVM can optimize the prediction model performance with the help of cross-validation and variable selection strategies.Research limitations/implicationsThe technique and its empirical conclusions provide a practical, theoretical basis and reference for HR research.Practical implicationsThe novel methods proposed in the study can assist HR practitioners in designing and improving their existing recruitment process. The topic detection techniques used in the study provide HR practitioners insights to identify the skill set of a particular recruiting position.Originality/valueTo the best of the authors’ knowledge, this research is the first study that uses LSA, BERT, SVM and other machine learning models in human resource management and resume classification. Compared with the existing machine learning-based resume screening system, the proposed system can provide more interpretable insights for HR professionals to understand the recommendation results through the topics extracted from the resumes. The findings of this study can also help organizations to find a better and effective approach for resume screening and evaluation.
Parents' support for children's entrepreneurial behavior: incentivizing the next generation of entrepreneurs
Authors: García-Rodríguez Francisco J. , Gutiérrez-Taño Desiderio , Ruiz-Rosa Inés 
Published: December 2022

PurposeThe purpose of this paper is to present an explanatory model of the factors that determine parental support for possible entrepreneurial initiatives of the parents' children. This is one of the most important challenges to promote the next generation of entrepreneurs.Design/methodology/approachA perspective based on the theory of planned behavior (TPB) is adopted, and the model is extended to integrate the antecedents of personal attitude toward children's entrepreneurship. The model is tested on a sample of 400 parents.FindingsPerceived behavioral control (PBC), namely the perception that parents have about the readiness of the children to be entrepreneurs plays the greatest effect on the intention of supporting children's entrepreneurial behavior. In addition, parents' perceptions of how people from the immediate surroundings value the children's possible entrepreneurial behavior are the second most influential variable in the parents' intention to support such behavior. Finally, a parent's personal attitude toward the parent's children's entrepreneurship is the third most relevant variable to explain intention to support, practically with the same weight as subjective norms (SNs).Practical implicationsThe results seem to confirm the importance of entrepreneurship development policies that focus on family characteristics and mindsets rather than on more traditional formal institutional support, such as business advice or financial resources. Family emerges as a key mediator to transfer the rules of normative and cultural-cognitive dimensions. Moreover, the results indicate the important role of entrepreneurship education in enhancing entrepreneurship not only due to the positive direct impact on students' entrepreneurial intentions, but also by changing parents' perceptions regarding the children's capabilities and, therefore, influencing the support for entrepreneurial behavior.Originality/valuePrevious studies have analyzed the influence of support from the immediate environment, especially the family, on young people's entrepreneurial behavior and have defined the types of support the family environment can provide. However, there is a missing link in the literature regarding the determinants of family support, despite the determinants' importance in configuring the normative and cultural-cognitive dimensions and the determinants' impact on society, promoting entrepreneurship.
Exploring the psychometric properties of the Cyberbullying Attitude Scale (CBAS) and its relation with teasing and gratitude in Indian collegiates
Authors: Bansal Suhans , Garg Naval , Singh Jagvinder 
Published: December 2022

PurposeThis study aims to examine the psychometric properties of the Cyberbullying Attitude Scale (CBAS) in Indian college students with the help of two independent studies.Design/methodology/approachThe first study investigated the factorial validity of the scale using exploratory factor analysis (EFA) and confirmatory factor analysis (CFA), resulting in a seven-item, two-component model of CBAS. Two statements were excluded owing to inadequate factor loading. The second study evaluated the reliability and criterion validity of the model extracted after CFA using the Weight-Based Teasing Scale (WBTS), PhQ9 as convergent indices and Gratitude Questionnaire 6 (GQ6) as divergent indices.FindingsIt was observed that the Indian version of the scale differs from the original version in two ways. First, the Indian CBAS comprised seven items, while the original CBAS consisted of nine items. Second, in the original CBAS, two factors of cyberbullying, i.e. hostile cyberbullying attitudes (HCA) and general cyberbullying characteristics (GCC), contained five and four statements, respectively. However, the Indian CBAS comprised five and two statements, respectively. Further, the Indian CBAS showed convergence with WBTS and PhQ9 and divergence with GQ6.Originality/valueThis study is one of the first to explore the psychometric properties of Indian CBAS and its relations with teasing and gratitude.
A longitudinal study on logistics strategy: the case of a building contractor
Authors: Haglund Petter , Rudberg Martin 
Published: December 2022

PurposeContingency studies within logistics and supply chain management have shown a need for longitudinal studies on fit. The purpose of this paper is to investigate the logistics strategy from a process of establishing fit perspective.Design/methodology/approachA large Swedish building contractor's logistics strategy process was analysed using a longitudinal single-case study for a period of 11 years (2008–2019).FindingsThe case study reveals three main constraints to logistics strategy implementation: a dominant purchasing organisation, a lack of incentives and diverging top-management priorities. This suggests that logistics strategy fit is not a conscious choice determined by contextual factors.Research limitations/implicationsEstablishing fit is a continuous cycle of regaining fit between the logistics context and logistics strategy components. Fit can be achieved by a change to the logistics context or to logistics strategy components.Practical implicationsLogistics managers may need to opt for satisfactory fit in view of the costs incurred by changing strategy versus the benefits to be gained from a higher degree of fit.Originality/valueThis paper adopts a longitudinal case design to study the fit between the logistics context and strategy, adding to the body of knowledge on organisational design and strategy in logistics and supply chain management.
Detection IoT attacks using Lasso regression algorithm with ensemble classifier
Authors: Sheelavathy K.V. , Udaya Rani V. 
Published: December 2022

Purpose
Internet of Things (IoT) is a network, which provides the connection with various physical objects such as smart machines, smart home appliance and so on. The physical objects are allocated with a unique internet address, namely, Internet Protocol, which is used to perform the data broadcasting with the external objects using the internet. The sudden increment in the number of attacks generated by intruders, causes security-related problems in IoT devices while performing the communication. The main purpose of this paper is to develop an effective attack detection to enhance the robustness against the attackers in IoT.

Design/methodology/approach
In this research, the lasso regression algorithm is proposed along with ensemble classifier for identifying the IoT attacks. The lasso algorithm is used for the process of feature selection that modeled fewer parameters for the sparse models. The type of regression is analyzed for showing higher levels when certain parts of model selection is needed for parameter elimination. The lasso regression obtains the subset for predictors to lower the prediction error with respect to the quantitative response variable. The lasso does not impose a constraint for modeling the parameters caused the coefficients with some variables shrink as zero. The selected features are classified by using an ensemble classifier, that is important for linear and nonlinear types of data in the dataset, and the models are combined for handling these data types.

Findings
The lasso regression with ensemble classifier–based attack classification comprises distributed denial-of-service and Mirai botnet attacks which achieved an improved accuracy of 99.981% than the conventional deep neural network (DNN) methods.

Originality/value
Here, an efficient lasso regression algorithm is developed for extracting the features to perform the network anomaly detection using ensemble classifier.
Does a woman's life before marriage affect her empowerment level? – Perspective from rural India
Authors: Banerjee Sudatta , Alok Swati , Kumar Rishi , Lakhtakia Supriya 
Published: December 2022

PurposeWomen's empowerment is a crucial gender issue and more so in developing countries. Women's empowerment has far-reaching consequences at individual, household, societal and global levels. In this study, the authors focus on the effect of their childhood and pre-marriage conditions on the present level of empowerment in the rural setting in the southern part of India controlling for relevant variables.Design/methodology/approachThis study is based on the primary data collected from 700 women in southern India's villages. The authors used chi-square to understand the bivariate association between the level of women's empowerment and their socio-economic characteristics including their pre-marriage conditions. Further, multiple regression was used to find out the association between her pre-marriage characteristics and empowerment.FindingsThe study finds a positive association between mothers' education on their daughters' empowerment. Freedom of movement during childhood also had a positive relationship with the current level of empowerment. The study finds a positive effect of self-esteem and self-efficacy on women's empowerment. The authors also found that property in their names and knowledge about their legal rights were associated with higher empowerment. Other important indicators related to higher women's empowerment are household assets and their employment.Originality/valueTo the best of the authors' knowledge, this study is a unique attempt to study the effect of conditions before marriage on women's empowerment, especially in the Indian context. The study looks into the relationship between childhood conditions of women in a rural set up including their parents' education and jobs, discrimination faced and upbringing conditions and their current level of empowerment.Peer reviewThe peer review history for this article is available at:https://publons.com/publon/10.1108/IJSE-05-2022-0329
Advertising intensity and firm performance: the influences of firm age and cultural communication styles
Authors: Semenov Alexey V. , Randrianasolo Arilova 
Published: December 2022

PurposeAdvertising intensity is treated either as a resource that allows firms to create competitive advantages (intangible asset view) or as an investment to build advertising resource (investment expense view). This current research supports the investment expense view. The authors do so by examining the moderating role of firm age (a proxy for knowledge) in the relationship between advertising intensity and performance as well as the influence of cultural communication styles on this moderation.Design/methodology/approachSecondary data were collected from multiple sources. With a sample of 262 companies from 10 countries (149 firms from high-context cultures and 113 firms from low-context cultures), ordinary least squares was used to estimate the regression coefficients to test the hypotheses. An instrumental variable approach with two-stage least squares estimates was used to address an endogeneity bias. Average industry advertising intensity excluding the focal firm was used as an instrumental variable.FindingsThe findings demonstrate that firm age significantly moderates the advertising intensity/performance relationship, but this moderation is only significant in high-context cultures. These findings imply that firms within high-context cultures must continually invest in advertising expenditures, while firms in low-context cultures may not need to do so to increase performance.Practical implicationsThe results of this study provide insight into the debate of whether advertising expenditures boost performance, as well as provide international marketing managers with a clearer picture on how to invest in advertising within their respective markets.Originality/valueA majority of the studies that examine the advertising intensity/performance link rely solely on the resource-based view. The authors utilize a multi-theoretical perspective to provide a fine-grained understanding of this relationship. Moreover, the authors apply the investment expense view to examine advertising intensity as an investment to build advertising resources, rather than a resource. This investment must be incorporated with the knowledge to properly employ the investment to develop advertising resources. Further, the authors find that firms expanding into high-context cultures must devote more effort into developing advertising capabilities to properly employ advertising resources than firms in low-context cultures.
The impact of ignorance and bias on information security protection motivation: a case of e-waste handling
Authors: Chen Hao , Yuan Yufei 
Published: December 2022

PurposeProtection motivation theory (PMT) explains that the intention to cope with information security risks is based on informed threat and coping appraisals. However, people cannot always make appropriate assessments due to possible ignorance and cognitive biases. This study proposes a research model that introduces four antecedent factors from ignorance and bias perspectives into the PMT model and empirically tests this model with data from a survey of electronic waste (e-waste) handling.Design/methodology/approachThe data collected from 356 Chinese samples are analyzed via structural equation modeling (SEM).FindingsThe results revealed that for threat appraisal, optimistic bias leads to a lower perception of risks. However, factual ignorance (lack of knowledge of risks) does not significantly affect the perceived threat. For coping appraisal, practical ignorance (lack of knowledge of coping with risks) leads to low response efficacy and self-efficacy and high perceptions of coping cost, but the illusion of control overestimates response efficacy and self-efficacy.Originality/valueFirst, this study addresses a new type of information security problem in e-waste handling. Second, this study extends the PMT model by exploring the roles of ignorance and bias as antecedents. Finally, the authors reinvestigate the basic constructs of PMT to identify how rational threat and coping assessments affect user intentions to cope with data security risks.
Outlier leadership in Alabama: resource challenged schools and principal practices
Authors: Rushing Kimberly Joy , Pendola Andrew 
Published: December 2022

PurposeSchools in resource challenged communities require principal approaches that break patterns of low expectations and low student achievement. This study identifies Alabama’s “outlier” schools that have been consistently successful in attaining higher student outcomes than their neighboring schools despite their similar community conditions. Then, it describes the perspectives and practices of principals leading these outlier schools. The purpose of this paper is to discuss findings on principal leadership in five of Alabama's outlier schools.Design/methodology/approachIn a sequential, explanatory mixed-methods design, the authors first use state administrative data to identify which Alabama schools had better results than their peers as evidenced by standardized testing between 2016 and 2020. Then, through semi-structured interviews, they examine the beliefs and approaches of five principals who are currently leading an outlier school. The frame of contextual leadership provides a deeper understanding of how these principals navigate successful schools in the midst of challenging community influences.FindingsThe evidence demonstrated that (1) community factors of low education, high unemployment, single-parent households and generational poverty are associated with considerably lower levels of student growth and achievement; (2) measured school and community factors do not explain student growth and achievement in these outlier schools; (3) outlier principals have a realistic view of their community’s challenges but focus on supporting students through a context sensitive, relational approach that emphasizes assets over limitations.Originality/valueWhile research has attended to leadership in turnaround schools and effective schools, there is little literature on principals leading in positive outlier schools. This study contributes to the literature on school leadership in resource challenged contexts by identifying high performing, resource challenged schools and then showing the perspectives and practices of principals who lead in schools that have consistently achieved better than expected student outcomes. It extends the construct of “outlier leadership” in education and connects it to contextual leadership in schools.
How do technology-based accelerators build their legitimacy as new organizations in an emerging entrepreneurship ecosystem?
Authors: Beyhan Berna , Akcomak Ibrahim Semih , Cetindamar Dilek 
Published: December 2022

Purpose
This paper aims to understand technology-based accelerators’ legitimation efforts in an emerging entrepreneurship ecosystem.

Design/methodology/approach
This research is based on qualitative inductive methodology using ten Turkish technology-based accelerators.

Findings
The analysis indicates that accelerators’ legitimation efforts are shaped around crafting a distinctive identity and mobilizing allies around this identity; and establishing new collaborations to enable collective action. Further, the authors observe two types of technology-based accelerators, namely, “deal flow makers” and “welfare stimulators” in Turkey. These variations among accelerators affect how they build their legitimacy. Different types of accelerators make alliances with different actors in the entrepreneurship ecosystem. Accelerators take collective action to build a collective identity and simultaneously imply how they are distinguished from other organizations in the same category and the ones in the old category.

Originality/value
This study presents a framework to understand how accelerators use strategies and actions to legitimize themselves as new organizations and advocate new norms, values and routines in an emerging entrepreneurship ecosystem. The framework also highlights how different accelerators support legitimacy building by managing the judgments of diverse audiences and increasing the variety of resources these audiences provide to the ecosystem.
Do tenure and age of board chair matter for R&D investment?
Authors: Azzam Ala’a , Alhababsah Salem 
Published: December 2022

Purpose
This study aims to examine whether the age and tenure of the chair of the board of directors are related to research and development (R&D) investment in China.

Design/methodology/approach
This study uses A-share manufacturing firms that traded on the Shanghai and Shenzhen stock exchange between 2009 and 2018. This study uses OLS regressions, controls for self-selection bias, and uses an instrumental variable to alleviate the concern of endogeneity.

Findings
This study finds that chair tenure has a negative relationship with R&D investment. This study does not find a significant relationship between chair age and R&D investment.

Originality/value
This study contributes to corporate governance and strategic management literature by highlighting chair tenure as a new factor affecting R&D investments. It also adds a significant contribution to the limited literature on the chair’s role in strategic decisions. Moreover, companies that are eager to strengthen corporate governance and maintain sustained innovation may reconsider the chair tenure. Given that many proposals for board governance reform explicitly stress the importance of limiting board tenure, this study contributes to policymakers by providing evidence in support of these proposals.