bluuebunny/crossref_metadata_2025_split huggingface dataset:
Role of social media news consumption in cultivating opinion polarization
Authors: Kothur Labeeba , Pandey Vidushi 
Published: December 2023

PurposeThis paper aims to investigate the mechanisms through which social media news consumption across different platforms leads to opinion polarization in society. To this end, the authors draw from cultivation theory to examine whether social media news consumption imparts a mainstreaming or resonance effect. Media consumption imparts a mainstreaming effect if frequent users, regardless of their social identity, develop homogenous attitudes about issues, whereas resonance is at play if there is a differing cultivation effect on various social groups depending on their relatability of life experiences.Design/methodology/approachThe authors conduct the study in the developing context of India, using a population survey dataset from 2019. Regression-based mediation and moderation analyses were carried out to test the hypotheses.FindingsThe findings reveal that resonance is the most prominent mechanism through which social media news consumption cultivates opinion polarization, contrary to the mainstreaming effect imparted by television. Further, WhatsApp use was found to strengthen the polarizing effect of overall social media news consumption, while YouTube use weakened the cultivation of polarization.Research limitations/implicationsThe paper unearths how social media news consumption influences the opinion polarization of various social groups differently. The authors also find the differential effect of specific platform use. These findings have the potential to inform policymakers and developers about how to mitigate the detrimental effects of platform-based political persuasion.Originality/valueThis study offers significant contributions. First, the authors explain social media-induced polarization using the novel theoretical lens of cultivation. Second, the authors find that social media and television news consumption differ in their polarizing effects. Third, the authors find that while WhatsApp use amplifies the polarizing effect of social media news consumption, YouTube use weakens it.
Audit quality, firm value and audit fees: does audit tenure matter? Egyptian evidence
Authors: Saleh Aly Saleh Aly , Diab Ahmed , Abdelazim Samir Ibrahim 
Published: December 2023

Purpose
This study aims to investigate the impact of audit fees on audit quality, the impact of audit quality on firm value and whether these effects are conditional on audit tenure by bringing evidence from an emerging market.

Design/methodology/approach
Different regression techniques are used, such as logistic regression, probit regression, ordinary least squares regression and fixed effects regression. The authors used panel data of 80 nonfinancial Egyptian-listed firms over 2016–2020.

Findings
The authors found a significant positive relationship between audit fees and audit quality and a significant positive relationship between audit quality and firm value. Furthermore, the authors found that the positive relationship between audit fees and audit quality is less pronounced for higher audit tenure firms. Finally, the authors also found that the positive relationship between audit quality and firm value is stronger for lower audit tenure firms.

Originality/value
To the best of the authors’ knowledge, this is the first study to bring evidence from an emerging African market about the joint association between audit tenure, audit fees, audit quality and firm value. It provides beneficial insights to regulators regarding the possibility and the benefits of improving audit quality, which is critically needed in contexts with weak governance systems.
Exogenous shock: hierarchical effect of the industrial entrepreneur confidence in the mist of the COVID-19 pandemic
Authors: Conceição Elimar Veloso , Lima Fabiano Guasti 
Published: December 2023

PurposeIn the context of investment decisions, the intricate interplay between exogenous shocks and their influence on investor confidence significantly shapes their behaviors and, consequently, their outcomes. Investment decisions are influenced by uncertainties, exogenous shocks as well as the sentiments and confidence of investors, factors typically overlooked by decision-makers. This study will meticulously examine these multifaceted influences and discern their intricate hierarchical nuances in the sentiments of industrial entrepreneurs during the COVID-19 pandemic.Design/methodology/approachEmploying the robust framework of the generalized linear latent and mixed models (GLLAMM), this research will thoroughly investigate individual and group idiosyncrasies present in diverse data compilations. Additionally, it will delve deeply into the exogeneity of disturbances across different sectors and regions.FindingsRelevant insights gleaned from this research elucidate the adverse influence of exogenous forces, including pandemics and financial crises, on the confidence of industrial entrepreneurs. Furthermore, a significant discovery emerges in the regional analysis, revealing a notable homogeneity in the propagation patterns of industrial entrepreneurs' perceptions within the sectoral and regional context. This finding suggests a mitigation of regional effects in situations of global exogenous shocks.Originality/valueWithin the realm of academic inquiry, this study offers an innovative perspective in unveiling the intricate interaction between external shocks and their significant impacts on the sentiment of industrial entrepreneurs. Furthermore, the utilization of the robust GLLAMM captures the hierarchical dimension of this relationship, enhancing the precision of analyses. This approach provides a significant impetus for data-informed strategic directions.
Powder bed defect classification methods: deep learning vs traditional machine learning
Authors: Du Rand Francois , van der Merwe André Francois , van Tonder Malan 
Published: December 2023

Purpose
This paper aims to discuss the development of a defect classification system that can be used to detect and classify powder bed surface defects from captured layer images without the need for specialised computational hardware. The idea is to develop this system by making use of more traditional machine learning (ML) models instead of using computationally intensive deep learning (DL) models.

Design/methodology/approach
The approach that is used by this study is to use traditional image processing and classification techniques that can be applied to captured layer images to detect and classify defects without the need for DL algorithms.

Findings
The study proved that a defect classification algorithm could be developed by making use of traditional ML models with a high degree of accuracy and the images could be processed at higher speeds than typically reported in literature when making use of DL models.

Originality/value
This paper addresses a need that has been identified for a high-speed defect classification algorithm that can detect and classify defects without the need for specialised hardware that is typically used when making use of DL technologies. This is because when developing closed-loop feedback systems for these additive manufacturing machines, it is important to detect and classify defects without inducing additional delays to the control system.
Methods and techniques to increase employee motivation
Authors: Voloshchenko Julia , Nikolaeva Maria 
Published: December 2023

Purpose
The purpose of this article is to demonstrate the formation of the concept of “motivation,” as well as to share experiences and modern techniques of motivation for employees.

Design/methodology/approach
This article includes the results of a survey of HR professionals using the Qwoted platform.

Findings
Motivation plays a big role in the life of employees and the company. Motivated employees unknowingly become brand ambassadors and help increase the company’s brand awareness, thus helping the business to grow.

Originality/value
To the best of the authors’ knowledge, this article was first published in this journal.
Students learning following a single self-guided tour to a history museum
Authors: Eilam Billie , Yosfan Merav , Lanir Joel , Wecker Alan J. 
Published: December 2023

Purpose The authors conducted a study at a history museum with the objective of examining changes in the knowledge of students aged 12 to 14 concerning the use of primary sources.Design/methodology/approach Students utilized self-led guides while exploring two museum spaces presenting different historical events. These guides encouraged students to scrutinize the exhibits, become acquainted with the methods employed in their research, and develop an awareness of the information derived from them. Students' responses to pre- and postquestionnaires were compared and analyzed using mixed methods.Findings The results revealed that students became familiar with various types of primary sources, recognized that only specific sources endure through time and gained an understanding of the research methods employed to study them. Additionally, most students comprehended that the same sources could lead to diverse historical accounts and the potential reasons for such variations.Practical implications Recommendations for practice are discussed.Originality/value This study contributed to the limited knowledge regarding learning during a single, self-led tour in a history museum. The findings illuminate the potential for learning and advancing historical thinking concepts even within such museum-visit contexts.
Digital humanism in business models: Unveiling value creation mechanisms
Authors: Franco Stefano , Messeni Petruzzelli Antonio , Panniello Umberto 
Published: December 2023

Purpose
The purpose of this study is to explore how companies can adopt digital humanism (DH), defined as the integration of humanistic skills in the development process of digital technologies, to create value and consequently develop effective business models. Specifically, the aim is to answer the following research question: what are the main DH mechanisms through which companies create value?

Design/methodology/approach
Given the limited understanding of the phenomenon under investigation, a qualitative approach was adopted based on a multiple-case study to explore how companies are embracing DH. The study will focus on three exemplar cases in the use of DH, namely, IBM, Microsoft and SAP, well recognized as three of the market leaders in the IT industry. In addition, the selected companies are recognized as some of the most innovative in their specific industries, hence offering a rich set of information on how to specifically embrace DH.

Findings
This study unveils the main mechanisms through which companies can create value by implementing DH’s approaches into their business models.

Originality/value
The originality of this research lies in its focus on how companies integrate DH into their business models. Indeed, the study aims at uncovering the main mechanisms that companies use to integrate DH into their overall business practices. Overall, this research provides valuable insights into how companies can effectively integrate DH into their business models, which could have important implications for creating responsible, sustainable and inclusive solutions that prioritize human needs and values.
Evaluating ergonomics and financial distress in manufacturing organization behavior: resiliency framework from operations and strategic management
Authors: Kottala Sri Yogi , Sahu Atul Kumar 
Published: December 2023

Purpose
Ergonomics usually reciprocate the study about people fitness toward working environment. In addition, financial distress refers a condition of organizations incompetency in generating sufficient revenues or incomes, which thereby refrain them to pay their financial obligations. This study aims to evaluate two independent organizational fields named as ergonomics in first phase and financial distress in manufacturing organization behavior in the second phase. The study presented a resiliency framework for operations and strategic management in the third phase based on various facts received from the distress organizations.

Design/methodology/approach
A questionnaire survey based on plant-visit is presented. The study embedded two segments to explicate its novelty. In the first segment, the plant-visit case study is presented and in the second segment, an exploratory data related to financial distress is presented. The study tried to communicate observations related to multiple decision-making fields in single umbrella, where multiple concepts like ergonomics and financial distress of organizations as well as employees are presented. DEMATEL-ANP integrated approach is used to represent the critical financial distress dimensions of employees and their ranking.

Findings
The study provided insights toward connecting two independent fields named as ergonomics and financial distress in single umbrella. The study can benefit practitioners in designing policies and procedures in their planning model to effectively achieve organizational goals. The study presented 14 financial distress drivers of employees and advocated the aggregation of ergonomics and financial distress toward developing a holistic framework for attaining organization goals for sustainability.

Originality/value
The study presented a comprehensive understanding about multiple organization decision-making fields toward developing a holistic approach from different aspects for attaining organizational sustainability. The study can be fruitful in stimulating cross-pollination of ideas between researchers and provides a good understandability of ergonomics and financial distress in single roof.
Role of artificial intelligence (AI) in poverty alleviation: a bibliometric analysis
Authors: Raghavendra Ananya Hadadi , Majhi Siddharth Gaurav , Mukherjee Arindam , Bala Pradip Kumar 
Published: December 2023

Purpose
This study aims to examine the current state of academic research pertaining to the role played by artificial intelligence (AI) in the achievement of a critical sustainable development goal (SDG) – poverty alleviation and describe the field’s development by identifying themes, trends, roadblocks and promising areas for the future.

Design/methodology/approach
The authors analysed a corpus of 253 studies collected from the Scopus database to examine the current state of the academic literature using bibliometric methods.

Findings
This paper identifies and analyses key trends in the evolution of this domain. Further, the paper distils the extant literature to unpack the intermediary mechanisms through which AI and related technologies help tackle the critical global issue of poverty.

Research limitations/implications
The corpus of literature used for the analysis is limited to English language studies from the Scopus database. The paper contributes to the extant research on AI for social good, and more broadly to the research on the value of emerging technologies such as AI.

Practical implications
Policymakers and government agencies will get an understanding of how technological interventions such as AI can help achieve critical SDGs such as poverty alleviation (SDG-1).

Social implications
The primary focus of this paper is on the role of AI-related technological interventions to achieve a significant social objective – poverty alleviation.

Originality/value
To the best of the authors’ knowledge, this is the first study to conduct a comprehensive bibliometric analysis of a critical research domain such as AI and poverty alleviation.
Virtual idols vs online influencers vs traditional celebrities: how young consumers respond to their endorsement advertising
Authors: Fan Fei , Fu Lin , Jiang Qinghua 
Published: December 2023

Purpose
This study aims to examine how young consumers perceive the advertising effectiveness of endorsements by virtual idols and how endorsements by virtual idols differ from endorsements by real human celebrities such as traditional celebrities and online influencers.

Design/methodology/approach
An experimental study was conducted with 400 randomly selected young respondents in China in December 2022. A 3 × 2 factorial design was used to test how the type of celebrity endorser and level of product involvement influence the persuasiveness of advertising aimed at young adults. Among 400 respondents, the average age was 21.5 years. A total of 193 male and 207 female respondents participated in the experiment.

Findings
Young consumers find virtual idols, online influencers and traditional celebrities attractive. Although virtual idols are the least credible among the three types of celebrity endorsers, young consumers tend to be more convinced by their endorsements of products with low levels of consumer involvement than those with high levels of involvement. Among the three types of celebrity endorsements, young consumers find traditional celebrities the most effective. In addition, young consumers’ attitudes toward celebrity endorsers mediate the impact of celebrity endorsers’ attractiveness and credibility on their attitudes toward the advertisements. The perceived level of product involvement moderates the transfer of meaning from the attitude toward the celebrity endorsers to the attitude toward the advertisement.

Practical implications
First, when choosing celebrity endorsers to advertise products targeting young consumers, marketing communication practitioners should give priority to the endorsers’ perceived credibility, as young consumers have a variety of views about them that can significantly affect their attitudes toward the advertisement. Second, real human celebrity endorsers are more effective than virtual idols in celebrity endorsements. However, virtual idols may be suited for use in advertisements to promote products with low involvement levels, such as soft drinks.

Originality/value
To the best of the authors’ knowledge, this is the first experimental study to attempt to analyze the effectiveness of virtual idols in advertising aimed at young consumers. This is also the first comparative study to introduce virtual idols as celebrity endorsers in product advertising and to compare their effectiveness with that of the two other types of commonly discussed celebrity endorsers, traditional celebrities and online influencers.
‘Had it not been for her’: Gender, Care Labour and Disability in the British Caribbean, 1788–1834
Authors: Hunt‐Kennedy Stefanie 
Published: December 2023

AbstractThis article explores the intersections between gender, disability and care labour in the slaveholding societies of the British Caribbean from 1788 to 1834. Considered economic burdens by slaveholders, aged and disabled bondswomen were made productive through caring for their enslaved peers, many of whom were themselves temporarily unproductive due to pregnancy, illness, age or impairment. Although slaveowners devalued aged and disabled bondswomen, and assigned them inferior labour positions, in actuality, slaveowners concealed an economic logic: disabled and aged bondspeople were efficient but of a different kind, and their productivity was essential to the healthscape of the plantation. This article explores The History of Mary Prince as a first‐hand account of an enslaved woman who experienced episodic impairment and long‐term disability and who practiced self‐care and received care from multiple different women.
Is there an advantage? Considerations for researchers studying the effects of the type of Medicare coverage
Authors: Nicholas Lauren Hersch , Polsky Dan , Darden Michael , Xu Jianhui , Anderson Kelly , Meyers David J. 
Published: December 2023

AbstractObjectiveTo describe common methodological problems that arise in comparisons of Medicare Advantage (MA) and Traditional Medicare (TM) and within‐MA studies and provide suggestions of how researchers can address these issues.Study SettingPublished research evaluating Medicare coverage options in the United States.Study DesignWe considered key conceptual challenges and promising solutions that have been used thus far and suggest additional directions.Data CollectionNot available.Principal FindingsMany existing studies of MA versus TM include significant limitations, such as failing to account for unobserved confounders driving both beneficiary coverage choice and health outcomes once enrolled, not accounting for variation in benefit generosity, provider networks, or plan design across MA plans, and/or having been conducted at a time when MA enrollment was less than a third of all Medicare beneficiaries. We provide a review of methods that can help researchers to overcome these weaknesses and suggest additional methods and data sources that may aid future research.ConclusionsThe MA program is becoming an essential part of the US healthcare system. By accounting for non‐random movement into and out of MA and studying the heterogeneity of beneficiary experience across plan and market characteristics, researchers can provide the high‐quality evidence necessary for policymakers to design the program and reform TM in ways that maximize beneficiary outcomes.
Officer diversity may reduce Black Americans’ fear of the police
Authors: Pickett Justin T. , Graham Amanda , Nix Justin , Cullen Francis T. 
Published: December 2023

AbstractWould police racial and gender diversification reduce Black Americans’ fear of the police? The theory of representative bureaucracy indicates that it might. We tested the effects of officer diversity in two experiments embedded in a national survey that oversampled Black Americans, producing several findings. First, in early 2022, nearly 2 years after George Floyd's killing, most Black Americans remained afraid of police mistreatment. Second, in a conjoint experiment in which respondents were presented with 11,000 officer profiles, Black Americans were less afraid when the officers were non‐White (Black or Hispanic/Latino) instead of White and when they were female instead of male. Third, in a separate experiment with pictured police teams, Black Americans were less afraid of being mistreated by non‐White and female officers. Fourth, experimental evidence emerged that body‐worn cameras (BWCs) reduced fear among both Black and non‐Black respondents. These findings support calls to diversify police agencies and to require officers to wear and notify civilians of BWC.