bluuebunny/crossref_metadata_2025_split huggingface dataset:
Vibration analysis of two-dimensional micromorphic structures using quadrilateral and triangular elements
Authors: Kohansal Vajargah Mina , Ansari Reza 
Published: January 2022

PurposeThe paper aims to presents a numerical analysis of free vibration of micromorphic structures subjected to various boundary conditions.Design/methodology/approachTo accomplish this objective, first, a two-dimensional (2D) micromorphic formulation is presented and the matrix representation of this formulation is given. Then, two size-dependent quadrilateral and triangular elements are developed within the commercial finite element software ABAQUS. User element subroutine (UEL) is used to implement the micromorphic elements. These non-classical elements are capable of capturing the micro-structure effects by considering the micro-motion of materials. The effects of the side length-to-length scale parameter ratio and boundary conditions on the vibration behavior of 2D micro-structures are discussed in detail. The reliability of the present finite element method (FEM) is confirmed by the convergence studies and the obtained results are validated with the results available in the literature. Also, the results of micromorphic theory (MMT) are compared with those of micropolar and classical elasticity theories.FindingsThe study found that the size effect becomes very significant when the side length of micro-structures is close to the length scale parameter.Originality/value The study is to analyze the free vibrations of 2D micro-structures based on MMT; to develop a 2D formulation for micromorphic continua within ABAQUS; to propose quadrilateral and triangular micromorphic elements using UEL and to investigate size effects on the vibrational behavior of micro-structures with various geometries.
A narrative study on the psycho-social impact of sex trafficking on victim’s parents in the state of Karnataka
Authors: Goswami Indrajit , Jithu Sujatha M. , Dsilva Nigel Raylyn 
Published: January 2022

Purpose
The purpose of this study is to explore the life of the victim’s parents in Karnataka and to gain a better understanding of the consequences or impact of sex trafficking on them.

Design/methodology/approach
A narrative research design was used in the study. Applying the method of narrative inquiry and the concept of three common spaces, the study explored the actual life situations and experiences of the victim’s parents. The study covered three pairs of parents as participants from two cities, i.e. Mysore and Bangalore in the state of Karnataka. Data was collected through in-depth face-to-face interview, informal conversations, photographs and field notes.

Findings
The study found that the victims’ parents are living an isolated or socially alienated life with potential symptoms of behavioural, cognitive and emotional disorders. The study also found that the victim’s parents fundamental right to live with dignity and respect have been violated. A significant finding in the study was that the parents did not cite or refer to any substantial efforts undertaken by non-governmental organisations in reintegrating the victim’s families within their communities. There are many rehabilitative services available for the victims. Unfortunately, the victim’s parents mostly remain unnoticed and unattended by therapists, social work practitioners and policymakers. An appeal is made to therapists, social workers, policymakers and individuals to support the victim’s parents.

Originality/value
All forms of human trafficking, especially sex trafficking has drawn considerable interest from researchers, policymakers, charities and non-government agencies. However, very little is known about the living conditions of the victim’s parents, especially the psycho-social status in their families and neighbourhood. Therefore, it was pertinent to explore the life of the victim’s parents including violation of their human rights. It highlights the importance of support from the society in reintegrating the victim’s families with their communities. This paper contributes to the qualitative literature by providing narrative evidence, which will lead to better policymaking and designing effective support services for the victim’s parents.
Intelligent approach of score-based artificial fish swarm algorithm (SAFSA) for Parkinson's disease diagnosis
Authors: Abdul Gafoor Syed Haroon , Theagarajan Padma 
Published: January 2022

PurposeConventional diagnostic techniques, on the other hand, may be prone to subjectivity since they depend on assessment of motions that are often subtle to individual eyes and hence hard to classify, potentially resulting in misdiagnosis. Meanwhile, early nonmotor signs of Parkinson’s disease (PD) can be mild and may be due to variety of other conditions. As a result, these signs are usually ignored, making early PD diagnosis difficult. Machine learning approaches for PD classification and healthy controls or individuals with similar medical symptoms have been introduced to solve these problems and to enhance the diagnostic and assessment processes of PD (like, movement disorders or other Parkinsonian syndromes).Design/methodology/approachMedical observations and evaluation of medical symptoms, including characterization of a wide range of motor indications, are commonly used to diagnose PD. The quantity of the data being processed has grown in the last five years; feature selection has become a prerequisite before any classification. This study introduces a feature selection method based on the score-based artificial fish swarm algorithm (SAFSA) to overcome this issue.FindingsThis study adds to the accuracy of PD identification by reducing the amount of chosen vocal features while to use the most recent and largest publicly accessible database. Feature subset selection in PD detection techniques starts by eliminating features that are not relevant or redundant. According to a few objective functions, features subset chosen should provide the best performance.Research limitations/implicationsIn many situations, this is an Nondeterministic Polynomial Time (NP-Hard) issue. This method enhances the PD detection rate by selecting the most essential features from the database. To begin, the data set's dimensionality is reduced using Singular Value Decomposition dimensionality technique. Next, Biogeography-Based Optimization (BBO) for feature selection; the weight value is a vital parameter for finding the best features in PD classification.Originality/valuePD classification is done by using ensemble learning classification approaches such as hybrid classifier of fuzzy K-nearest neighbor, kernel support vector machines, fuzzy convolutional neural network and random forest. The suggested classifiers are trained using data from UCI ML repository, and their results are verified using leave-one-person-out cross validation. The measures employed to assess the classifier efficiency include accuracy, F-measure, Matthews correlation coefficient.
Early statistics in kindergarten: analysis of an educator's pedagogical content knowledge in lessons promoting informal inferential reasoning
Authors: Estrella Soledad , Mendez-Reina Maritza , Olfos Raimundo , Aguilera Jocelyn 
Published: January 2022

PurposeThis study aims to describe the pedagogical content knowledge (PCK) of a kindergarten educator who implements a lesson plan about informal inferential reasoning designed in a lesson study group.Design/methodology/approachTo this end, we analyzed teaching interventions in two kindergarten lessons focused on the playful task of tossing two coins, associated with inferential statistical reasoning. The study highlights the importance of arguing and promoting this reasoning to develop statistical thinking. It is crucial to recognize how early students can be subject to learning experiences that promote a language of uncertainty, assess the evidence provided by the data, and make generalizations.FindingsThe results reveal that while the educator demonstrated knowledge and skills relevant to the curriculum and conceptual teaching strategies, the understanding of the content by the students and the integration of the PCK components still present a challenge.Practical implicationsThe lesson study collaborative teaching practices that promote PCK have proven effective for informing the design and implementation of instructional practices supporting the development of early statistical thinking in young children.Originality/valueThe study enriches the knowledge regarding the potential of the lesson study (LS) in the professional learning of kindergarten educators. It also contributes to a comprehensive approach based on authentic playful experiences in grade K that supports the development of early statistical thinking in young children.
“Can politics really be beneficial?” Toward a model for positive politics through consensus
Authors: Parmentier Thibault , Reynaud Pr. Emmanuelle 
Published: January 2022

PurposeThis article wants to propose deeper insights and clarifications into the effects of organizational politics which have been at the center of many debates in decision-making literature. For a long time, the debate focused on the negative effects of organizational politics and how to avoid them. This article wants to explore the positive effects of organizational politics and see how this impacts the consensus process in teams moderated by organizational change.Design/methodology/approachThe article model and propositions are grounded in the organisational politics literature. The analysis builds on the “positive” politics literature which has been gaining steam in the last two decades and links this with the consensus literature.FindingsThe article proposes an integrated model which clearly shows how the three core concepts influence each other through the four proposed hypotheses. Organizational politics can help to create more consensus in a team decision-making process, and this can have a positive effect on team performance.Originality/valueThe article aims to expand insights of organizational politics on decision-making by putting the light on possible positive effects of organizational politics. The article addresses the theoretical gap of how organizational politics can impact the consensus process.
A framework for implementing and reporting United Nations sustainable development goals in Spanish higher education institutions
Authors: González-Torre Pilar L. , Suárez-Serrano Eugenia 
Published: January 2022

PurposeThis study aims to explore a holistic framework for implementing and reporting sustainable development goals (SDGs) in universities. The aim is to define elements of the content as well as the context, which will allow us to understand and compare sustainable development processes at the university level. Using the 2030 Agenda context, this research describes a university profile which is accountable to its stakeholders, thus aligning its sustainability report with the SDGs.Design/methodology/approachThis research has considered the entire Spanish university system and relies on data collection from sustainability reports published by 50 public universities and 34 private universities. Through an analysis of the contents of public reports, the aim is to build an index like the social responsibility dissemination index, but specific to the 2030 Agenda in the university context.FindingsThe holistic model, based on a dissemination index, showed diverse methods of implementing and reporting contributions to the SDGs, with varying degrees of depth, priority, reach, suitability and visibility. The proposed index was also used as a classification variable to group Spanish universities into two conglomerates, one that leads the contribution to the 2030 Agenda and another that follows the previous ones.Research limitations/implicationsThis research work could be extended to include any European university educational systems. Case studies could add qualitative value to the implementation of the SDGs.Originality/valueAs a pilot study, the developed index can be used to analyse the sustainability reports of Spanish universities to determine the use of reporting to render accounts to stakeholders.
Fostering change-oriented OCBS: an analysis of India’s IT talent
Authors: Kataria Aakanksha , Rashmi Kumari , Rastogi Mansi 
Published: January 2022

Purpose
This study aims to investigate how workplace resourcefulness (positive psychological climate), as well as personal resources (psychological capital [PsyCap]), influence work engagement to promote change-oriented organizational citizenship behaviors (Ch-OCBs) among Indian information technology (IT) personnel.

Design/methodology/approach
The social exchange theory and job demands-resources model are used to provide rationale for proposing a comprehensive mechanism including antecedents, moderators as well as mediators enabling Ch-OCBs among IT personnel. Structured questionnaires were administered targeting IT professionals and their supervisors to test the proposed relationships. The obtained data from 30 supervisors and 240 subordinates were tested using confirmatory factor analysis, SEM and moderated path analysis technique.

Findings
Psychological climate, PsyCap and work engagement positively relate to Ch-OCBs; PsyCap moderated the relationship between psychological climate and work engagement. Specifically, the relationship between psychological climate and work engagement has come out stronger for employees with high PsyCap. Work engagement fully mediated the relationship between psychological climate and Ch-OCBs.

Practical implications
The findings can be critical in promoting voluntary change-focused behaviors among Indian IT personnel, for Indian and foreign (non-Indian) multi-national corporations that are interested in reaping profits by availing change-driven extra-role services of their efficient and the most preferred Indian IT employees of the world.

Originality/value
This study addresses to the call for more research on change-focused promotive part of OCB and advances the literature by providing evidence on the proposed set of associations from fast-pacing Indian economy.
Corporate governance: association the spots between institutional enhancement, organisational modification and earnings quality
Authors: Almasarwah Adel , Alrawabdeh Wasfi , Masadeh Walid , Al-Nimer Munther 
Published: January 2022

PurposeThe purpose of this paper is to explore the link between earnings quality, Audit Committees and the Board of companies located in Jordan through the lens of enhancing corporate governance.Design/methodology/approachThe real earnings management (REM) and accruals earnings management models were notably used within the panel data robust regression analysis approach; these were used against certain Audit Committee characteristics (i.e. meeting frequency, amount of Board and Committee participants [both internal and external], size) and Board of Directors.FindingsThe former characteristics were found to have a positive relationship with REM, while the latter yielded mixed results: while there was no significant identifiable relationship between Board outsiders and REM, there was a positive relationship identified between Board meetings, Board insiders and Board size and REM. In regard to this study’s limitations, the qualitative data gathered for the Board of Directors through the lens of corporate governance enhancement should have been documented with more detail; furthermore, the study was limited to the study of just one nation.Research limitations/implicationsThe data is limited to only a single country. More explanation for Board of Directors need qualitative understandings into corporate governance improvement. The control variables are essentially partial in a developing market context.Practical implicationsThe different corporate governance code and guidelines improvements have varied influence on earnings quality. As predictable, boards of directors most effect on earnings quality. Improvements have included most modification to audit committees but through them slight measured effect on earnings quality.Social implicationsJordan’s corporate governance improvements expected organised corporate governance practices generally in place amongst its boards, and though invoking considerable modification to audit committees, eventually included slight modification to earnings quality. However, both improved earnings quality.Originality/valueThis particular research appears to be the first to consider both Audit Committee and Board of Directors characteristics in one model; indeed, in this vein, this research is also the first to explore the corporate governance enhancements that initially stemmed from there being zero code or guideline regarding its use, despite it becoming required recently. Hence, the authors can say this study has high originality.
The impact of embedded location options on price discovery of agricultural futures contracts – the evidence from the Chana contract
Authors: Mansabdar Sanjay , Yaganti Hussain C. , Basu Sankarshan 
Published: January 2022

Purpose
Embedded options can create asymmetries in information impounded by cash and futures markets, causing errors in price discovery estimation. This paper aims to investigate the impact of embedded location options on measures of price discovery.

Design/methodology/approach
Various price discovery metrics are computed using observed futures prices that contain embedded location options and cash prices for Chana. Prices of a futures contract that contains no options using observed futures prices and estimates of location option value are synthesized. The price discovery measures are recomputed using synthetic option-adjusted futures contract prices and cash prices, and changes in these measures are attributed to the impact of the embedded location option.

Findings
If the presence of the location option is ignored, futures appear to dominate price discovery. Once the location option is adjusted for, cash markets are found to dominate price discovery.

Research limitations/implications
The lack of complete time-series data from the exchange for multiple commodities allows only limited empirical evidence for generalizing conclusions.

Practical implications
This paper highlights that regulators, exchanges and policymakers in India need to revisit delivery specifications of agricultural commodity futures contracts to enhance their utility from a price discovery perspective.

Originality/value
This work shows that ignoring the presence of embedded options can cause significant errors in price discovery assessment of agricultural futures contracts, particularly in heterogenous cash markets.
The impact of the changes to United Kingdom psychiatry training recruitment in 2021
Authors: Challinor Alexander , Whyler Jonathon 
Published: January 2022

Purpose
The purpose of this paper is to review and critically evaluate UK psychiatry national recruitment process for 2021, which was re-structured following the COVID-19 pandemic. Additionally, this paper aims to review the empirical evidence of the selection methodologies in psychiatry recruitment.

Design/methodology/approach
The UK national psychiatry recruitment process is discussed, with a focus on the changes made to recruitment in 2021. The advantages and disadvantages of different selection methodologies are explored, with an emphasis on evaluating the validity, acceptability and reliability of different recruitment selection methodologies. The potential impact of the changes to psychiatry recruitment are explored.

Findings
The decision of the National Recruitment Office to remove certain selection methods for recruitment in 2021 may have limited their ability to choose the best candidate for the training place and be fair to the applicant. Overall, there is a lack of research into the validity of the selection methods used in psychiatry recruitment. A framework for outcome criteria relevant to psychiatry recruitment should be developed, which would allow research into selection methods and guide the NRO to examine the evidence base effectively.

Originality/value
This paper examined the recruitment methods used to choose doctors for psychiatry training in the UK, demonstrating that the empirical evidence base for psychiatry recruitment is limited. This paper can contribute to our understanding of selection methodologies used in psychiatry recruitment and highlights the value of different recruitment approaches for choosing the best psychiatrists of the future.
Place branding in a bottle: management strategies for unplanned messages
Authors: Briana Maria 
Published: January 2022

PurposeThis paper explores an important yet overlooked concept in place branding literature, unplanned messages. Focusing on unplanned messages, this study aims to contribute to a better understanding of the concept of spontaneous order in place branding and how to manage the unplanned communication process so as to ensure a high reputational status for a place.Design/methodology/approachThis paper builds on past research on place brand communication and proposes a conceptual framework for unplanned messages.FindingsClassification schemes for places and place brands are proposed, contributing to place brand management in three aspects: reviewing of decisions and strategies undertaken, assessing current situation and planning way forward when it comes to priorities for place management and development.Originality/valueTo the best of the authors’ knowledge, this is the first paper that introduces the emergent image and presents a classification scheme for places that contributes to a strategic management program of unplanned messages in place branding.
Quantifying the hedge and safe-haven properties of bond markets for cryptocurrency indices
Authors: Karim Sitara , Naeem Muhammad Abubakr , Mirza Nawazish , Paule-Vianez Jessica 
Published: January 2022

PurposeThis study quantified the hedge and safe haven features of bond markets for multiple cryptocurrency indices from June 2014 to April 2021 to highlight whether bond markets offer hedging facilities to uncertainty indices of cryptocurrencies.Design/methodology/approachThe authors employed the methodology of Baur and McDermott (2010) and AGDCC-GARCH model to measure the hedge and safe-haven characteristics of three bond markets (BBGT, SPGB and SKUK) for three uncertainty indexes of cryptocurrencies (UCRPR, UCRPO and ICEA).FindingsThe authors find that bond markets are neither hedge nor safe havens except for SKUK which is a safe haven investment for cryptocurrency indices and offers substantial diversification during the periods of economic fragility. In addition, the hedge effectiveness of SPGB outperforms other bonds during crisis periods and provides sufficient diversification potential for cryptocurrency indices.Practical implicationsThe findings are important for policymakers, regulatory bodies, financial firms and investors in assessing hedge and safe haven characteristics of bond markets against cryptocurrency indices.Originality/valueEmploying the novel methodology of AGDCC-GARCH with three different bond markets and three uncertainty indices of cryptocurrencies, the current study adds to the existing strand of literature in terms of quantifying hedge and safe-haven attributes of bond markets for cryptocurrency uncertainty indexes.