bluuebunny/crossref_metadata_2025_split huggingface dataset:
Frontal mechanisms underlying primate calls recognition by humans
Authors: Ceravolo Leonardo , Debracque Coralie , Pool Eva , Gruber Thibaud , Grandjean Didier 
Published: February 2023

AbstractThe ability to process verbal language seems unique to humans and relies not only on semantics but on other forms of communication such as affective vocalisations, that we share with other primate species—particularly great apes (Hominidae). To better understand these processes at the behavioural and brain level, we asked human participants to categorize vocalizations of four primate species including human, great apes (chimpanzee and bonobo), and monkey (rhesus macaque) during MRI acquisition. Classification was above chance level for all species but bonobo vocalizations. Imaging analyses were computed using a participant-specific, trial-by-trial fitted probability categorization value in a model-based style of data analysis. Model-based analyses revealed the implication of the bilateral orbitofrontal cortex and inferior frontal gyruspars triangularis(IFGtri) respectively correlating and anti-correlating with the fitted probability of accurate species classification. Further conjunction analyses revealed enhanced activity in a sub-area of the left IFGtrispecifically for the accurate classification of chimpanzee calls compared to human voices. Our data therefore reveal distinct frontal mechanisms that shed light on how the human brain evolved to process non-verbal language.Author contributionsCD and LC were involved in every steps of the study including experimental design, programming, data acquisition, data analysis and redaction of the first draft of the manuscript and subsequent editing. EP helped design the model-based MRI analyses and interpret the results. TG and DG were involved in the experimental design and study planification. All authors wrote and edited the manuscript.
The effects of mandatory non-financial reporting on financial performance. A multidimensional investigation on global agri-food companies
Authors: Vitale Gianluca , Cupertino Sebastiano , Riccaboni Angelo 
Published: February 2023

PurposeFocusing on the Agri-Food and Beverage sector, the paper investigates the direct effect of worldwide mandatory non-financial disclosure on several financial dimensions as well as its moderating effects on the relationship between sustainability and financial performance.Design/methodology/approachThe authors performed fixed-effect regressions on a sample of 180 global listed companies, considering a period of eight years. The authors also tested the moderating effects of non-financial disclosure regulation on the relationship between sustainability and financial performance.Findings The authors found a positive direct impact of mandatory non-financial disclosure on Operating Return on Asset, Return on Equity and Return on Sales. The analysis also highlighted the negative moderating effects of non-financial reporting regulation on the relationship between sustainability issues and financial performance. As for the Cost of Debt, the authors found mixed results.Research limitations/implicationsThis study considers a short-term perspective focusing on a limited sample composed of companies playing a key role in the global agri-food system.Practical implicationsThe paper identifies which financial performance dimensions are positively or negatively affected by mandatory non-financial disclosure. Accordingly, managers can rearrange corporate activities to deal with further reporting normative requirements concurrently preserving financial performances and fostering corporate sustainability.Social implicationsThis study recommends fostering mandatory non-financial disclosure to increase corporate transparency fostering the sustainability transition of the Agri-Food and Beverage industry.Originality/valueThe paper highlights global mandatory non-financial disclosure effects on financial performance considering a sector that is cross-cutting impactful on plural sustainability issues.
Norwegian stakeholder's attitudes towards EU taxonomy
Authors: Norang Hilde , Støre-Valen Marit , Kvale Nina , Temeljotov-Salaj Alenka 
Published: February 2023

Purpose
The European Union (EU) aims to become climate-neutral by 2050. Achieving this requires targeted measures and strategies. One of the instruments of the EU is the EU taxonomy, a classification system with the purpose of creating a common definition of what economic activities are deemed sustainable. The paper aims to examine how the EU taxonomy can affect the Norwegian construction industry, property owners and facilities management (FM) providers.

Design/methodology/approach
The research is based on a document analysis and interviews with main stakeholders within the financial sector, construction and real estate (RE) sector, authorities, environmental organisations and businesses related to FM and RE.

Findings
The findings show that different stakeholders share largely similar attitudes towards the taxonomy, although some differ in their opinions. This paper finds that there are high levels of uncertainty and confusion associated with the taxonomy, which can be said to be a major obstacle for successful implementation. Several stakeholders show concerns related to the fact that Norway lacks definitions and regulations on which the taxonomy is based. The requirements for new buildings and existing buildings are considered stricter than the current practice in the Norwegian construction and RE industry, while the requirements for renovation are considered more achievable. The uptake of the EU taxonomy will impact the FM and the urban FM practices and standards for the procurement of services, and the integration of environmental, social and governance (ESG) policies must be developed.

Research limitations/implications
The research presented in this paper was conducted at a time when the EU taxonomy was a relatively unknown concept in the Norwegian construction and RE industry. FM providers were not interviewed in this study.

Practical implications
This research is one of the first studies to be conducted on this topic in Norway and represents the first meeting between the EU taxonomy and the industry. The discussion underpins the relevance of adjusting and updating FM standards to today’s knowledge about ESG principles.

Originality/value
The paper shows the viewpoint of the Norwegian stakeholders involved in the construction and RE industry. This gives valuable information about the challenges that the industry needs to overcome.
Workplace loneliness and job performance: moderating role of person-environment fit
Authors: Jha Sumi 
Published: February 2023

Purpose
The purpose of this paper was to study the effect of workplace loneliness on job performance. This paper also examined the mediating role of employee well-being and psychological safety and the moderating role of person–environment fit (PE fit).

Design/methodology/approach
A multi-rated research design was used to collect data. Data were collected from 382 employees and their 97 supervisors of various Indian organizations. The data of job performance was collected from the supervisor of every team. The questionnaire for data collection was distributed at two different time intervals to reduce common method bias.

Findings
The findings of this paper supported the role of PE fit in minimizing the negative effect of workplace loneliness–well-being relationship and workplace loneliness and psychological safety relationship. The model also tested the association between workplace loneliness and job performance when the relationship is moderated by PE fit and mediated by well-being and psychological safety.

Originality/value
This paper examines the workplace loneliness from the lens of PE fit theory.
Dynamic common correlated effects of financial inclusion on economic growth: empirical evidence from Organization of Islamic Cooperation (OIC) countries
Authors: Chaudhry Imran Sharif , Yusop Zulkornain , Habibullah Muzafar Shah 
Published: February 2023

PurposeFinancial inclusion is a critical component of financial development, which disseminates accessible financial services to benefit all parts of society and consequently promotes economic growth. The study explores the dynamic common correlated effects of financial inclusion on economic growth in Organization of Islamic Cooperation (OIC) countries.Design/methodology/approachThe conventional econometric techniques overlook heterogeneity and cross-sectional dependence and provide false results. Hence, a unique methodology, ‘Dynamic Common Correlated Effects (DCCE)’, is used, which can efficiently tackle the above-mentioned issues.FindingsThe DCCE estimation indicates a positive and significant impact of financial inclusion on economic growth in overall and higher-income OIC economies. Moreover, in the lower-income OIC group, financial inclusion is inversely correlated with economic growth, which converts into a positive linkage by including an interaction term of financial inclusion and institutional quality.Practical implicationsBased on the research outcomes, it is recommended that policymakers and governments of OIC economies seek to increase financial inclusion to achieve sustainable, optimal and inclusive economic growth.Originality/valueThe DCCE technique in this study considers heterogeneity and cross-sectional dependence among countries and thus provides robust findings.
Unravelling the potential of social media data analysis to improve the warranty service operation
Authors: Sarmast Zahra , Shokouhyar Sajjad , Ghanadpour Seyed Hamed , Shokoohyar Sina 
Published: February 2023

PurposeWarranty service plays a critical role in sustainability and service continuity and influences customer satisfaction. Considering the role of social networks in customer feedback channels, one of the essential sources to examine the reflection of a product/service is social media mining. This paper aims to identify the frequent product failures through social network mining. Focusing on social media data as a comprehensive and online source to detect warranty issues reveals opportunities for improvement, such as user problems and necessities. This model will detect the causes of defects and prioritize improving components in a product-service system based on FMEA results.Design/methodology/approachOntology-based methods, text mining and sentiment analysis with machine learning methods are performed on social media data to investigate product defects, symptoms and the relationship between warranty plans and customer behaviour. Also, the authors have incorporated multi-source data collection to cover all the possibilities. Then the authors promote a decision support system to help the decision-makers using the FMEA process have a more comprehensive insight through customer feedback. Finally, to validate the accuracy and reliability of the results, the authors used the operational data of a LENOVO laptop from a warranty service centre and classifier performance metrics to compare the authors’ results.FindingsThis study confirms the validity of social media data in detecting customer sentiments and discovering the most defective components and failures of the products/services. In other words, the informative threads are derived through a data preparation process and then are based on analyzing the different features of a failure (issues, symptoms, causes, components, solutions). Using social media data helps gain more accurate online information due to the limitation of warranty periods. In other words, using social media data broadens the scope of data gathering and lets in all feedback from different sources to recognize improvement opportunities.Originality/valueThis work contributes a DSS model using multi-channel social media mining through supervised machine learning for warranty-service improvement based on defect-related discovery to unravel the potential aspects of social networks analysis to predict the most vulnerable components of a product and the main causes of failures that lead to the inputs for the FMEA process and then, a cost optimization. The authors have used social media channels like Twitter, Facebook, Reddit, LENOVO Forums, GitHub, Quora and XDA-Developers to gather data about the LENOVO laptop failures as a case study.
Examining the motivations of sharing political deepfake videos: the role of political brand hate and moral consciousness
Authors: Sharma Isha , Jain Kokil , Behl Abhishek , Baabdullah Abdullah , Giannakis Mihalis , Dwivedi Yogesh 
Published: February 2023

PurposeDeepfakes are fabricated content created by replacing an original image or video with someone else. Deepfakes have recently become commonplace in politics, posing serious challenges to democratic integrity. The advancement of AI-enabled technology and machine learning has made creating synthetic videos relatively easy. This study explores the role of political brand hate and individual moral consciousness in influencing electorates' intention to share political deepfake content.Design/methodology/approachThe study creates and uses a fictional deepfake video to test the proposed model. Data are collected from N = 310 respondents in India and tested using partial least square–structural equation modelling (PLS-SEM) with SmartPLS v3.FindingsThe findings support that ideological incompatibility with the political party leads to political brand hate, positively affecting the electorates' intention to share political deepfake videos. This effect is partially mediated by users' reduced intention to verify political deepfake videos. In addition, it is observed that individual moral consciousness positively moderates the effect of political brand hate on the intention to share political deepfake videos. Intention to share political deepfake videos thus becomes a motive to seek revenge on the hated party, an expression of an individual's ideological hate and a means to preserve one's moral self-concept and strengthen their ideologies and moral beliefs.Originality/valueThe study expands the growing discussion about disseminating political deepfake videos using the theoretical lens of the negative consumer-brand relationship. It validates the effect of political brand hate on irrational behavior that is intended to cause harm to the hated party. Further, it provides a novel perspective that individual moral consciousness may fuel the haters' desire to engage in anti-branding behavior. Political ideological incompatibility reflects ethical reasons for brand hate. Therefore, hate among individuals with high moral consciousness serves to preserve their moral self.
Difference-in-difference estimation in combined feedback on writing skill: a quasi-experimental study
Authors: Huachizaca Viviana , Yambay-Armijos Karen 
Published: February 2023

PurposeThis quasi-experimental study examined the effectiveness of audio-visual and written feedback (AVF + WF) on undergraduate students versus only receiving WF in the context of an English as a Foreign Language (EFL) online classroom during the coronavirus disease 2019 (COVID-19) lockdown.Design/methodology/approachThe study used the estimator Difference in Difference (DID) to compare a treated and control group in a pre-and post-test under the application of six treatment sessions, plus a student's perception survey at the end of the treatment. The treated group that received the multimodal feedback showed higher improvement rates in the paragraph content between the first and final drafts than students in the control group.FindingsResults indicated that receiving a combination of AVF + WF had a statistically significant effect on mechanics (p < 0.001) and the use of transition words (p = 0.003).Practical implicationsThese findings will benefit educational agents, professors and stakeholders for social and economic development.Originality/valueWhile previous studies have only used student perceptions of the feedback, this study contributes with empirical data through quasi-experimental analysis and measures the effectiveness of feedback in online learning environments.
The materiality of organizational identity: a case of Codorníu wineries
Authors: Sunyer Albert , Hinojosa Recasens Josep Domingo , Gibb Jenny 
Published: February 2023

PurposeThe purpose of this research is to deepen understanding of the materiality in organizational identity (OI) by describing how physical objects support, instantiate and communicate OI over time.Design/methodology/approachThe research design uses an in-depth case study of Codorníu wineries taking a symbolic interactionism methodological lens. The study examines a set of physical objects preserved from the company's foundation in 1551 to the present day and their associated identity meanings.FindingsThis study uncovered how the company used multiple objects to symbolically represent its identity. Some of these objects were primal artifacts used to legitimize organizational identity since the firm's foundation; others were interpreted as identity markers that worked to instantiate identity and to provide it with greater persistence, while others were created ad hoc to communicate organizational identity to external audiences. Some physical objects were used to differentiate the organization and its products from competitors, while others were used to maintain a temporary and spatial link with the organization's founding origins.Practical implicationsThis study describes practical implications on the use of identity materiality to build legitimacy, employee identification, differentiation from competitors and reputation.Originality/valueThe analysis of the meanings associated with material objects shows that identity tangibility has not hindered organizational adaptation and change. Some identity objects gained relevance, while others were reinterpreted or abandoned according to their symbolic value in order to embody organizational identity at a given time. Four trajectories were identified that describe the evolution of physical objects in representing an organization's identity over time.
Do consumer values and perceived readiness impact secondhand luxury consumption? A goal-framing theory approach
Authors: Jain Sheetal , Rathi Rubal 
Published: February 2023

Purpose
Drawing on goal framing theory, this study aims to investigate consumer values and perceived readiness to engage in secondhand luxury consumption, a form of pro-environmental behavior.

Design/methodology/approach
An integrative conceptual model is proposed based on goal- framing theory to gauge the role of various goals driving Gen Z’s secondhand luxury purchase. Cross-sectional data were collected from 246 Indian secondhand luxury shoppers and analyzed using structural equation modeling and PROCESS Macro.

Findings
Results demonstrated that both egoistic and altruistic value frames drive secondhand luxury purchase intention through attitude and subjective norms (SNs), respectively. Interestingly, attitude significantly leads to consumer perceived readiness, but readiness does not directly affect purchase intention. Further, risk perceptions moderate the effect of readiness and SNs.

Originality/value
Academic literature lacks empirical evidence on secondhand luxury as a form of pro-environmental behavior and Gen Z argued to be the most influential generation driving this market has not been investigated so far. Through an emerging economy context, this study contributes important implications for luxury brands entering the secondhand market, secondhand retailers and scholars about what motivates young consumers and drives purchase decisions while engaging with an otherwise stigmatized market.
Influence of extended surface area of heatsink on heat transfer: design and analysis
Authors: Subramani Shanmugan , Devarajan Mutharasu 
Published: February 2023

Purpose
Light emitting diode (LED) has been the best resource for commercial and industrial lighting applications. However, thermal management in high power LEDs is a major challenge in which the thermal resistance (Rth) and rise in junction temperature (TJ) are critical parameters. The purpose of this work is to evaluate the Rth and Tj of the LED attached with the modified heat transfer area of the heatsink to improve thermal management.

Design/methodology/approach
This paper deals with the design of metal substrate for heatsink applications where the surface area of the heatsink is modified. Numerical simulation on heat distribution proved the influence of the design aspects and surface area of heatsink.

Findings
TJ was low for outward step design when compared to flat heatsink design (ΔT ∼ 38°C) because of increase in surface area from 1,550 mm2 (flat) to 3,076 mm2 (outward step). On comparison with inward step geometry, the TJ value was low for outward step configuration (ΔTJ ∼ 6.6°C), which is because of efficient heat transfer mechanism with outward step design. The observed results showed that outward step design performs well for LED testing by reducing both Rth and TJ for different driving currents.

Originality/value
This work is authors’ own design and also has the originality for the targeted application. To the best of the authors’ knowledge, the proposed design has not been tried before in the electronic or LED applications.
Mathematical modeling and multiresponse optimization to reduce surface roughness and adhesion in Al 5083 H116 alloys used in ammunition propulsion actuators
Authors: Gökçe Hüseyin , Biberci Mehmet Ali 
Published: February 2023

PurposeThis study aims to obtain the lowest surface roughness (Ra) and drill bit adhesion values (AV) depending on the change in control factors (cutting speed-Vc, feed rate-f and drill bit-D) during drilling of the Al 5083 H116 alloy. Low roughness values increase the fatigue strength of the final part and affect tribological properties such as lubrication and friction. In the machining of ductile materials, the AV increases the Ra value and negatively affects the tool life.Design/methodology/approachDrilling tests were conducted using Taguchi L16 orthogonal array. The experimental measurement findings for Ra and AV were adjusted utilizing the Grey Relational Analysis (GRA), the Response Surface Method (RSM) and Artificial Neural Networks (ANN) to generate prediction values. SEM detected drill-tip adhesions and chip morphology and they were analyzed by EDX.FindingsRa and AV increased as the f increased. Vc affects AV; 86.04% f on Ra and 54.71% Vc on AV were the most effective control parameters. After optimizing Ra and AV using GRA, the f is the most effective control factor. Vc: 120 m/min, f: 0.025 mm/rev and D2 were optimal. ANN predicted with Ra 99.6% and AV 99.8% accurately. Mathematical models are obtained with RSM. The increase in f increased AV, which had a negative effect on Ra, whereas the increase in Vc decreased the adhesion tendency. With the D1 drill bit with the highest flute length, a relatively lower Ra was measured, as it facilitates chip evacuation. In addition, the high correlations of the mathematical models obtained indicate that the models can be used safely.Originality/valueThe novelty of this study is to determine the optimum drilling parameters with GRA and ANN for drilling the necessary holes for the assembly of ammunition wing propulsion systems, especially those produced with Al 5083 H116 alloy, with rivets and bolts.