bluuebunny/crossref_metadata_2025_split huggingface dataset:
The importance of belonging: reflections on a participatory action research project in Jacksonville, Florida
Authors: Mehdipour Haleh , Prokosch Marjorie , Williams Darien , Thomas Abdul-Hai , Seymour Brian , Conley Jacqueline , von Meding Jason 
Published: August 2024

PurposeThe paper explores the implementation and process of a Participatory Action Research (PAR) project in Jacksonville, Florida. Using PAR principles, we sought to disrupt traditional dynamics in research, co-generating knowledge with the community. We aimed to elevate disenfranchised voices and foster effective solutions for neighborhood revitalization and resilience, which are designed and led by the community. In this paper we explore researcher positionality, examining how engagement with the community context profoundly influences researchers' perspectives and roles, thereby shaping the study trajectory.Design/methodology/approachWe use reflexive and thematic approaches to analyze researcher positionalities and dynamics with the community. Researchers' reflections were scrutinized with a focus on their backgrounds, adaptability to community pace of work, lessons learned and evolving perspectives on community-centered research. We present a comprehensive discussion of emerging themes and emphasize the transformative nature of PAR and the significance of the researcher pursuing a relationship of belonging within the community.FindingsThe study uncovered key themes clarifying the transformations experienced by researchers engaged in PAR. We underwent a significant shift from a predetermined, structured PAR model to a more organic, community-driven model. This shift is illustrated under key themes in the paper: being vulnerable, valuing relationships, transforming the sense of self and solidarity, focusing on the process and recognizing and valuing community-derived knowledge. We write about the metamorphosis of researchers' roles from passive observers to active and empathic participants and about the implications for our methodological approach. As a result of this adaptation, the research process was enhanced and a symbiotic learning environment was created between the researchers and the community.Originality/valueThis paper distinguishes itself through its community-centric approach, diverging from traditional research paradigms. It explores how PAR-based community engagement can have a positive impact on those who are involved in PAR themselves, contributing to a better understanding of reciprocal dynamics in community-based research. We hope that our process of reflection can help other disaster researchers to ask better questions of themselves when engaging with communities and be open to following the lead and the pace of the community.
Financial market uncertainty and the macro economy: the role of governance and institutional quality
Authors: Abaidoo Rexford , Agyapong Elvis Kwame 
Published: August 2024

PurposeThe study examines the impact of macroeconomic risk and volatility associated with key macroeconomic indicators on financial market uncertainty; and the extent to which governance and institutional structures moderate such relationships.Design/methodology/approachThe study employs data from 33 countries in Sub-Saharan Africa (SSA) for the period between 1996 and 2019. Variable derivation techniques such as the generalized autoregressive conditional heteroskedasticity (GARCH) for deriving volatility data, and the principal component analysis (PCA) for index construction were employed. The data is examined using the two-step system generalized method of moments (TS-SGMM) technique.FindingsEmpirical results suggest that macroeconomic risk and exchange rate volatility heighten financial market uncertainty among economies in the sub-region. Further empirical estimates show that institutional quality and government effectiveness have a negative moderating effect on the nexus between macroeconomic risk, inflation uncertainty, GDP growth, exchange rate, and financial market uncertainty.Practical implicationsThe key macroeconomic conditions with the propensity to foment financial market uncertainty are worth monitoring with adequate buffers to mitigate their impacts on the financial market.Originality/valueCompared to related studies, this study focuses on uncertainty associated with financial markets among emerging economies in sub-Saharan Africa (SSA) instead of the performance of the financial markets or specific financial market indicators such as the stock market; and the extent to which a host of macroeconomic conditions influence such uncertainty. For instance, Abaidoo and Agyapong (2023) focused on the impact of macroeconomic indicators or conditions on the performance of the financial market and the efficiency of financial institutions respectively instead of the uncertainty or risk associated with the financial market as pursued in the current study. This differing approach is pursued with the goal of proffering appropriate strategies for policy makers towards assuaging the financial market risk (uncertainty) due to macroeconomic dynamics. We further examine how the various fundamental relationships may be moderated by effective governance and institutional quality.
Slow and steady or fast and furious: how movement speed in the digital medium impacts consumers’ risk judgments
Authors: Taylor Nükhet , Hingston Sean T. 
Published: August 2024

Purpose
Fueled by the soaring popularity of the digital medium, consumers are increasingly relying on dynamic images to inform their decisions. However, little is known about how changes in the presentation of movement impacts these decisions. The purpose of this paper is to document whether and how movement speed–a fundamental characteristic of dynamic images in the digital medium–influences consumers' risk judgments and subsequent decisions.

Design/methodology/approach
Three experimental studies investigate the impact of movement speed displayed in the digital medium, focusing on different risk-laden domains including health (pilot study), gambling (Study 1) and stock market decisions (Study 2).

Findings
The authors find that faster movement speed displayed in the digital medium elevates consumers’ feelings of risk and elicits cautionary actions in response. The authors reveal a mechanism for this effect, showing that faster movement reduces feelings of control over outcomes, which predicts greater feelings of risk.

Research limitations/implications
Future work could expand upon these findings by systematically examining whether certain individuals are more susceptible to movement speed effects in the digital medium. Research could also investigate whether different ways of experiencing movement speed (e.g. physical movement) similarly influence risk judgments and whether movement speed can have positive connotations outside of risky domains.

Practical implications
The authors offer important insights to marketing practitioners and public policymakers seeking to guide consumers’ judgments and decisions in risk-laden contexts through the digital medium.

Originality/value
By showing how movement speed alters judgments in risk-laden contexts, the authors contribute to literature on risk perception and the growing body of literature examining how moving images shape consumers’ behaviors.
Bridging the information asymmetry in e-commerce: an intercultural perspective on sustainable clothing
Authors: Robichaud Zachary , Brand Benedikt M. , Yu Hong 
Published: August 2024

PurposeThis study addresses the information asymmetry issue in e-commerce, particularly prevalent in the clothing industry, leading to high product returns and environmental harm. The research aims to fill gaps in the existing literature by holistically examining multiple information cues and considering intercultural differences, utilizing signaling theory.Design/methodology/approachAn Adaptive Choice-Based Conjoint experiment involving German (n = 332) and Chinese (n = 331) respondents from Generation Y is conducted. This cross-cultural comparison explores consumer preferences for sustainable clothing and analyses factors influencing their choices, including price, shipping costs, sustainability labels and online customer reviews.FindingsGerman online shoppers exhibit a stronger preference for sustainable clothing compared to their Chinese counterparts, with notable differences in the emphasis placed on various factors. Chinese respondents prioritize monetary aspects (e.g. price and shipping costs), while Germans attach greater importance to sustainability labels and online customer reviews.Originality/valueThis research contributes to the existing literature by providing a comprehensive analysis of information cues in e-commerce, considering cultural variations. The findings shed light on the distinct preferences of German and Chinese respondents from Generation Y, offering valuable insights for businesses aiming to address information asymmetry and enhance environmental sustainability in online clothing retail.
Digital entrepreneurship and the emergence of coopetitive affordance
Authors: Abubakre Mumin , Mkansi Marcia 
Published: August 2024

PurposeBy focusing on the contextual conditions of South African digital entrepreneurs and the affordances of digital technologies, we understand how connective affordances of digital technologies enable a collective approach to digital entrepreneurship.Design/methodology/approachWe do so through an interpretive field study of South African digital entrepreneurs operating in resource-constrained settings.FindingsThe findings highlight how entrepreneurs appropriate digital technologies in collectives to achieve connective actions and cooperate and compete simultaneously, giving rise to what we call coopetitive affordance, reflecting a fresh perspective on coopetition in increasingly digital and resource-constrained realities.Originality/valueThis paper extends the connective affordance perspective by illustrating how the concept of coopetitive affordance brings to light how contextual conditions create a humanitarian bond between entrepreneurs and a digital bond created by their appropriation of digital technologies in collectives.
Inhumane diplomacy: a systematic review on the effects of international sanctions on poverty
Authors: Koehler Anna Franziska 
Published: August 2024

PurposeThis paper addresses the under-explored collateral damage of economic sanctions, shedding light on the disproportionate harm endured by the most vulnerable segments of societies, which at the same time lack political influence to effect the ruling government into change. The primary objective is to review the literature on humanitarian repercussions associated with sanctions, concluding if they really are a comparably human way of international interference.Design/methodology/approachEmploying a systematic literature review, adhering to the PRISMA approach, and incorporating key term definitions and clear selection criteria, this review analyses 52 studies sourced from Scopus and EconBiz.FindingsThe surveyed literature reveals profound adverse impacts of sanctions on health, economic well-being, inequality, and education. Critical gaps in the literature such as disproportional focus on extreme cases like Iran and Iraq, scarce literature on effects on education and inequality, and predominantly inadequate control groups are identified, limiting the generalizability of existing findings.Originality/valueThis paper is the first systematic and replicable review of the literature on the effects of sanctions using a capabilistic approach to define poverty. Highlighting gaps in the current research landscape underscores the limited generalizability of reviewed results. Providing a well-structured summary of existing literature, this work serves as a foundation for future research.
“Keep your friends close, but your enemies closer:” ChatGPT in tourism and hospitality
Authors: Altinay Zehra , Altinay Fahriye , Tlili Ahmed , Vatankhah Sanaz 
Published: August 2024

Purpose
ChatGPT has been receiving mounting research attention recently. However, its application and challenges to adopt for tourism and hospitality businesses remain relatively unexplored. To address this research gap, this study aims to systematically assess the application of ChatGPT and its challenges within the domain of tourism and hospitality.

Design/methodology/approach
This study conducts bibliometric and content analyses of papers retrieved from Web of Science and Scopus. Particularly, it systematically reviewed the tourism and hospitality research to identify critical applications of ChatGPT in the context of tourism and hospitality. In addition, this study identified challenges associated with the application of ChatGPT in this context.

Findings
It has been revealed that the use of generative artificial intelligence (AI), such as ChatGPT, in tourism and hospitality research is ascending, with an opportunity to advance the existing knowledge in customer service research. In addition, the results suggest an ongoing interest in assessing the role of AI and language modeling for tourism education and human resource management.

Research limitations/implications
The results are constrained by the used search keywords and electronic databases. Additionally, this study covered only papers published in English. However, the findings shed light on existing knowledge concerning ChatGPT’s transformative potential, identify areas for further exploration and offer guidelines for practice in the tourism and hospitality industry. The findings also revealed various challenges that various stakeholders should keep a closer eye on to ensure the effective and safe use of ChatGPT accordingly.

Originality/value
This study initiates a discussion on ChatGPT’s role in tourism and hospitality and underscores the importance of comprehensive AI integration within the sector.
Productivity improvement opportunities for metal powder bed fusion technologies: a systematic literature review
Authors: McConnell Sean , Tanner David , Kourousis Kyriakos I. 
Published: August 2024

Purpose
Productivity is often cited as a key barrier to the adoption of metal laser-based powder bed fusion (ML-PBF) technology for mass production. Newer generations of this technology work to overcome this by introducing more lasers or dramatically different processing techniques. Current generation ML-PBF machines are typically not capable of taking on additional hardware to maximise productivity due to inherent design limitations. Thus, any increases to be found in this generation of machines need to be implemented through design or adjusting how the machine currently processes the material. The purpose of this paper is to identify the most beneficial existing methodologies for the optimisation of productivity in existing ML-PBF equipment so that current users have a framework upon which they can improve their processes.

Design/methodology/approach
The review method used here is the preferred reporting items for systematic review and meta-analysis (PRISMA). This is complemented by using an artificial intelligence-assisted literature review tool known as Elicit. Scopus, WEEE, Web of Science and Semantic Scholar databases were searched for articles using specific keywords and Boolean operators.

Findings
The PRIMSA and Elicit processes resulted in 51 papers that met the criteria. Of these, 24 indicated that by using a design of experiment approach, processing parameters could be created that would increase productivity. The other themes identified include scan strategy (11), surface alteration (11), changing of layer heights (17), artificial neural networks (3) and altering of the material (5). Due to the nature of the studies, quantifying the effect of these themes on productivity was not always possible. However, studies citing altering layer heights and processing parameters indicated the greatest quantifiable increase in productivity with values between 10% and 252% cited. The literature, though not always explicit, depicts several avenues for the improvement of productivity for current-generation ML-PBF machines.

Originality/value
This systematic literature review provides trends and themes that aim to influence and support future research directions for maximising the productivity of the ML-PBF machines.
Hybrid governance and intersectional discrimination: An examination of women's experiences in South Africa
Authors: van Dijk Gerda , Mangai Mary S. 
Published: August 2024

AbstractThis research investigates the lived experiences of women in South Africa, focusing on the concept of hybrid governance and intersectional discrimination. Hybrid governance denotes a blend of modern and traditional governance structures that coexist in many post‐colonial societies, including South Africa. Intersectional discrimination recognises that individuals face layers of discrimination simultaneously influenced by intersecting identities like race, gender, class, and ethnicity. This study utilised quantitative analysis and desktop research methods. The researchers employed theoretical and operational parameters to conduct a logistic regression analysis using data from the 2018/2019 Governance, Public Safety and Justice Survey (GPSJS) conducted by Statistics South Africa. The analysis aims to investigate how hybrid governance structures impact women's lives and the interconnectedness among forms of discrimination they encounter. The results shed light on the power dynamics, representation challenges, and discriminatory practices within the realm of hybrid governance. Women's experiences showcase how patriarchal norms, racial disparities, and socio‐economic factors intersect to heighten discrimination levels and constrain women's autonomy. Additionally, the study emphasises the significance of recognising and addressing intersectionality as a framework for comprehending and responding to the multi‐faceted challenges faced by women in South Africa.Points for practitioners
Practitioners should appreciate the cultural diversity in South Africa and respect the varying customs and practices that come with hybrid governance. They should understand that traditional governance structures can coexist with modern ones, but also ensure that these structures do not perpetuate discriminatory practices.
Practitioners should understand that individuals may face multiple, intersecting forms of discrimination. They should therefore approach work with an intersectional lens, taking into account the ways in which factors like race, gender, and tribal affiliation can compound discrimination.
Practitioners should encourage dialogue about discrimination within the communities in which they work. They should raise awareness about what constitutes discrimination and how individuals can report it.
Practitioners should utilise available data to inform their work. They should regularly review and analyse data on discrimination to identify trends and patterns, and to inform strategies and interventions.
Global burden of vaccine‐associated rheumatic diseases and their related vaccines, 1967–2023: A comprehensive analysis of the international pharmacovigilance database
Authors: Oh Jiyeon , Jo Hyesu , Park Jaeyu , Lee Hayeon , Kim Hyeon Jin , Lee Hyeri , Kang Jiseung , Hwang Jiyoung , Woo Selin , Son Yejun , Kim Soeun , Smith Lee , Rahmati Masoud , Jacob Louis , Lee Jinseok , Lee Jun Hyuk , López Sánchez Guillermo F. , Dragioti Elena , Udeh Raphael , Veronese Nicola , Soysal Pinar , Woo Ho Geol , Yon Dong Keon 
Published: August 2024

AbstractVaccine‐associated rheumatic diseases are rare but one of the most feared adverse drug reactions (ADRs). However, this topic has been investigated less with large‐scale data in the literature. With the rapid progress in the development and approval of vaccines during the pandemic, public concerns regarding their safety have been raised. To assess the global and regional burden, long‐term trends, and potential risk factors of vaccines‐associated six types of rheumatic diseases (ankylosing spondylitis [AS], polymyalgia rheumatica [PMR], rheumatoid arthritis [RA], Sjögren's syndrome, Systemic lupus erythematosus [SLE], Systemic scleroderma), this study conducted disproportionality analysis based on the reports from the World Health Organization International Pharmacovigilance Database documented between 1967 and 2023 (n for total reports = 131 255 418) across 156 countries and territories. We estimated the reporting odds ratio (ROR) and information component (IC) to determine the disproportionality signal for rheumatic diseases. Of 198 046 reports of all‐cause rheumatic diseases, 14 703 reports of vaccine‐associated rheumatic diseases were identified. While the reporting counts have gradually increased over time globally, we observed a dramatic increase in reporting counts after 2020, potentially due to a large portion of reports of COVID‐19 mRNA vaccine‐associated rheumatic diseases. The disproportionality signal for rheumatic diseases was most pronounced in HBV vaccines (ROR, 4.11; IC025, 1.90), followed by COVID‐19 mRNA (ROR, 2.79; IC025, 1.25), anthrax (ROR, 2.52; IC025, 0.76), papillomavirus (ROR, 2.16; IC025, 0.95), encephalitis (ROR, 2.01; IC025, 0.58), typhoid (ROR, 1.91; IC025, 0.44), influenza (ROR, 1.49; IC025, 0.46), and HAV vaccines (ROR, 1.41; IC025, 0.20). From age‐ and sex‐specific perspective, young females and old males are likely to have vaccine‐associated rheumatic disease reports. Furthermore, overall vaccines showed a disproportionality signal for PMR (IC025, 3.13) and Sjögren's syndrome (IC025, 0.70), systemic scleroderma (IC025, 0.64), specifically while the COVID‐19 mRNA vaccines are associated with all six types of diseases. Although multiple vaccines are associated with rheumatic disease reports, healthcare providers should be aware of the potential of autoimmune manifestations following vaccination, particularly the COVID‐19 mRNA and HBV vaccines, and take into account for risk factors associated with these ADRs. Most ADRs exhibited an average time to onset of 11 days, underscoring the significance of monitoring and timely management by clinicians.