bluuebunny/crossref_metadata_2025_split huggingface dataset:
Defining brand heritage experience in luxury brand museums
Authors: De Boissieu Elodie , Chaney Damien 
Published: July 2024

Purpose
The purpose of this paper is to explore the specific characteristics of consumers’ lived experience in a brand museum within a luxury context. While previous research has investigated this experience through the lens of brand heritage, the unique attributes and prestigiousness of the luxury field have not yet been examined. The authors argue that these distinctive features may alter the brand heritage experience in significant ways.

Design/methodology/approach
To understand the dimensions of a brand heritage experience in a luxury context, the authors applied a qualitative method using reflexive introspection. Specifically, the authors used 89 reflective introspections of 29 visitors of nine different luxury brand museums.

Findings
The findings indicate that a brand heritage experience in luxury is based on four dimensions: aesthetic, authentic, scientific and mythic. The data also reveal the heterogeneous aspect of the experience, which varies according to the level of consumers’ brand familiarity as well as whether the museum visit is led by a guide or not.

Originality/value
The authors contribute to the literature by emphasizing a new dimension of a brand heritage experience in luxury: a mythic dimension. This study also unveils the impact of contextual factors on the brand heritage experience.
Assessing the carbon footprint of the agriculture, forestry, and fishing industry of Australia
Authors: Kazemian Soheil , Zaman Rashid , Iranmanesh Mohammad , Mohd Sanusi Zuraidah 
Published: July 2024

PurposeThis study examines the carbon emissions of Australia’s agriculture, forestry and fishing sectors from a consumption perspective to develop effective policy frameworks. The objective is to identify key supply chains, industries and products contributing to these emissions and provide recommendations for sustainable development.Design/methodology/approachA multiregional input-output lifecycle assessment was conducted using the Australian Industrial Ecology Virtual Laboratory (IELab) platform to disaggregate sectors and enable benchmarking against other economic sectors.FindingsIn 2018, the “agriculture, forestry, and fishing” sector was responsible for 12.15% of Australia’s carbon footprint. Major contributors included the “electricity, gas, water, and waste” category (26.1%) and the sector’s activities (24.3%). The “transport, postal, and warehousing” sector also contributed 18.4%. Within the industry, the agriculture subsector had the highest impact (71.3%), followed by forestry and logging (15%) and fishing, hunting and trapping (7.6%). Aquaculture and supporting services contributed 6.1%.Research limitations/implicationsThe principal constraint encountered by the present study pertained to the availability of up-to-date data. The latest accessible data for quantifying the carbon footprint within Australia’s agriculture, forestry and fishing sector, utilizing the Input-Output analysis methodology through the Australian Industrial Ecology Virtual Laboratory (IELab) platform, about 2018.Practical implicationsThe findings of this study provide policymakers with detailed insights into the carbon footprints of key sectors, highlighting the contributions from each subsector. This information can be directly used to develop effective emission-reduction policies, with a focus on reducing emissions in utility services, transport and warehousing.Social implicationsThe study, by raising public awareness of the significant role of industrial agricultural methods in Australia’s carbon footprint and emphasizing the importance of renewable energy and sustainable fuels for electricity generation and road transport, underscores the urgent need for action to mitigate climate change.Originality/valueThis study stands out by not only identifying the most impactful industries but also by providing specific strategies to reduce their emissions. It offers a comprehensive breakdown of specific agricultural activities and outlines mitigation strategies for utility services, agricultural operations and transport, thereby adding a unique perspective to the existing knowledge.
Corporate social responsibility on worker turnover rate and worker turnover cost: the role of symbolic image dimensions and the unemployment rate
Authors: Nguyen Hien Ngoc , Vu Hoang Ngan , Hoang Huy Viet , Tran Huy Phuong 
Published: July 2024

Purpose
This study aims to examine the relationship between corporate social responsibility (CSR) and worker turnover rate (WTR) and worker turnover cost (WTC) in Vietnamese garment companies, using the mediating role of symbolic image dimensions (SID) of employer image and the moderating role of unemployment rate.

Design/methodology/approach
This study uses Signaling Theory and Job Embeddedness Theory as theoretical frameworks to examine the mediating role of SID and the moderating role of the unemployment rate on the link between CSR and WTR, as well as the associated cost. Data from 119 Vietnamese garment companies are analyzed using structural equation modeling – AMOS software.

Findings
The findings suggest that CSR has a direct adverse effect on the WTR and an indirect effect on WTC through WTR. The results also indicate a direct relationship between the level of CSR adopted by companies and workers’ perception of the symbolic attributes of their company’s employer image as sincere, innovative, competent and prestigious. This, in turn, leads to a reduced rate of worker turnover. In addition, this study discovers the moderating influence of the region’s unemployment rate on the correlation between companies’ CSR and WTR.

Practical implications
The results indicate that companies should view CSR as a strategic tool to obtain better performance by achieving a win-win state of affairs with their workers. It also implies the influence of external economic factors on the relationship between CSR and worker turnover.

Originality/value
This study contributes to the literature by highlighting the economic benefits of CSR and the SID.
Do green banking practices improve the sustainability performance of banking institutions? The mediating role of green finance
Authors: Kumar Jitender , Rani Garima , Rani Manju , Rani Vinki 
Published: July 2024

Purpose
This study aims to examine the mediating role of green finance in the relationship between green banking practices and the sustainability performance of banking institutions in developing economies.

Design/methodology/approach
The authors performed an empirical investigation by applying the “partial least squares structural equation modeling (PLS-SEM)” based on a representative sample of 414 bank employees working in the National Capital Region, India.

Findings
The study’s outcome confirms that employee, top-management, operation and policy related practices substantially influence green finance and banks’ sustainability performance. On the contrary, customer related practices insignificantly influence banks’ sustainability performance. Further, green finance substantially influences the sustainability performance of banking institutions.

Practical implications
This study shed light on green banking practices that can assist in achieving the vision of the “Clean India Mission” of the Indian government. In addition, it encourages policymakers and bank managers to fulfill their social responsibility by engaging employees and customers in cleaner operations to promote banks’ sustainability performance.

Originality/value
This is ground-breaking research that enriches the understanding of green banking practices and green finance by providing a novel theoretical framework concerning the sustainability performance of banking institutions. Theoretically, this paper also broadens the scope of corporate social responsibility literature by applying the resource-based view theory in finance and banking.
The mediating effect of financial reporting quality on the relationship between corporate social responsibility and corporate green innovation
Authors: Wang Lujian , Hussin Nazimah 
Published: July 2024

Purpose
This study aimed to examine the mediating role of corporate financial reporting quality in the impact of corporate social responsibility (CSR) on corporate green innovation, based on the integration of stakeholder theory, opportunity cost theory, innovation diffusion theory and signaling theory.

Design/methodology/approach
A deductive quantitative approach was used as the research methodology. Following a survey design, questionnaire responses were collected from a purposively chosen sample of 308 employees in China. The data was analyzed using partial least squares structural equation modeling, performed with SmartPLS4.0 software.

Findings
The findings show that CSR promotes green innovation, and that financial reporting quality mediates this relationship. It was further revealed that compared to employees’ CSR perception, consumers’ perception of firms’ CSR performance has a stronger positive effect on firms’ corporate financial reporting quality and green innovation. These findings provide insights into the impact of both internal and external CSR performance on corporate green innovation.

Research limitations/implications
This study only sampled Chinese employees, meaning that the findings may not be representative of other regions. Also, as this study employed only the questionnaire instrument, future research may collect data through multiple sources, including financial reports, surveys and interviews, to better understand and estimate variations in the positive impact of CSR on green innovation.

Originality/value
This study establishes the mediating role of corporate financial reporting quality in linking CSR to corporate green innovation. It further examines green innovation in multiple dimensions (i.e. product, process, organizational), while also measuring CSR in dual perspectives, namely internal (employee awareness) and external (consumer awareness). The results of this study offer guidance to firms in improving their green innovation in various aspects, thus promoting sustainability and environmental friendliness in corporate development.
The voice of the little giants: Arcellinida testate amoebae in environmental DNA‐based bioindication, from taxonomy free to haplotypic level
Authors: González‐Miguéns Rubén , Cano Emilio , García‐Gallo Pinto Mónica , Peña Pablo G. , Rincón‐Barrado Mario , Iglesias Guillermo , Blanco‐Rotea Andrés , Carrasco‐Braganza María Isabel , de Salvador‐Velasco David , Guillén‐Oterino Antonio , Tenorio‐Rodríguez Daniel , Siemensma Ferry , Velázquez David , Lara Enrique 
Published: July 2024

AbstractBioindication, evaluating biological responses to environmental disturbances, is crucial for assessing the ecological status of an ecosystem. While historical bioindication relied on macroscopic organisms, the introduction of environmental DNA (eDNA) techniques allows the application of protists without the necessity of morphological identification. In this study, we propose a novel bioindication methodology utilizing Arcellinida, a group of top predators among protists, as bioindicators of freshwater ecosystems. For that purpose, we first characterized the Arcellinida diversity over 1 year at three different points of Lake Sanabria, an ancient glacier lake known to be subjected to anthropogenic disturbances. We compared this diversity with an undisturbed control site. Second, we characterized the Arcellinida diversity in other ecosystems to generate the ecological background to test the connectivity between them. Results indicate limited connectivity between the different ecosystems and an edge effect between terrestrial and aquatic ecosystems. Disturbed freshwater ecosystems exhibited reduced Arcellinida diversity at both specific and infraspecific levels, providing valuable insight into recent disturbances. Arcellinida‐based bioindication provides a sensitive, accurate and easy‐to‐interpret protocol for monitoring disturbances in freshwater ecosystems. It represents a valuable tool for environmental assessments and conservation strategies.
Identifying important species in meta‐communities
Authors: Rollin Guillaume , Kortsch Susanne , Lages José , Gauzens Benoit 
Published: July 2024

Abstract

With the ongoing biodiversity crisis, identifying which species are of particular importance to prevent the extinction of other species has become a pressing issue. However, most approaches to detect these important species are made at a local (i.e, community) level, without considering the potential effect of species dispersion in a landscape. As habitat fragmentation has important effects on biodiversity, we need methods to better assess how local and spatial processes interact to determine important species and therefore better inform conservation efforts.

We present a modified PageRank algorithm to determine the importance of species in meta‐communities. Species importance is defined as the ability of species in the meta‐community to spread nutrients within two sets of networks: food webs that depict local trophic interactions and landscape networks representing the movement of species across different habitat patches.

We show that dispersal and trophic links jointly determine the importance of the different species, both at the local scale (within habitat patches) and at larger scales (landscape). More precisely, we observed that (i) what is considered an important species changes between isolated communities and meta‐communities and (ii) the importance of a species in a meta‐community depends on the position of its habitat patch in the landscape network.

The importance of a species is influenced by both intrinsic factors (dispersal capacity, trophic position) and extrinsic factors (position of the patch in the landscape network). Our results stress the need for a larger‐scale consideration of space in the identification of important species.
Factors associated with disposable electronic cigarette use among US youth: A national repeated cross‐sectional study, 2021–22
Authors: Mattingly Delvon T. , Agbonlahor Osayande , Richardson Maggie , Rayens Mary Kay , Rose Shyanika W. , Hart Joy L. 
Published: July 2024

AbstractBackground and aimsDisposable electronic cigarette (e‐cigarette) use is becoming more popular among US youth, given the shifting landscape in product marketing, availability and regulation. This study aimed to estimate the prevalence of and test factors associated with the most used e‐cigarette product (disposable versus other) among US youth aged 9–18 years who currently use e‐cigarettes.Design, setting and participantsThis was an observational study using cross‐sectional data from the US‐based 2021 and 2022 National Youth Tobacco Surveys (n = 48 704). We restricted our analytical sample to youth who currently use e‐cigarettes (n = 4137). The sample ranged from 9 to 18 years old and was 53.0% female.MeasurementsWe dichotomized e‐cigarette device type to disposable versus all other types (e.g. refillable pods/cartridges). We conducted logistic regression to estimate whether age, sex, race/ethnicity, sexual orientation, frequency of e‐cigarette use, nicotine vaping, flavored e‐cigarette use and current combustible/non‐combustible tobacco use were associated with disposable e‐cigarette use, compared with other e‐cigarette use.FindingsAmong youth who currently use e‐cigarettes, 54.5% used disposable e‐cigarettes. Older age (17–18 years), relative to younger age (9–14 years) [odds ratio (OR) = 1.43, 95% confidence interval (CI) = 1.07–1.91], non‐Hispanic Black (versus non‐Hispanic White) race/ethnicity (OR = 1.47, 95% CI = 1.01–2.15), any nicotine (versus non‐nicotine) vaping (OR = 2.51, 95% CI = 1.96–3.23) and flavored (versus non‐flavored) e‐cigarette use (OR = 1.93, 95% CI = 1.46–2.56) were associated with increased odds of mainly using disposable e‐cigarettes, compared with using other e‐cigarette products, whereas current combustible tobacco use (versus non‐current) (OR = 0.65, 95% CI = 0.53–0.80) and current non‐combustible tobacco use (versus non‐current) (OR = 0.58, 95% CI = 0.43–0.78) were associated with lower odds.ConclusionDisposable e‐cigarettes appear to be the most used type of e‐cigarette product among US youth. Older age, non‐Hispanic Black race/ethnicity, nicotine vaping and flavored e‐cigarette use are associated with mainly using disposable e‐cigarettes, relative to other e‐cigarette products.
Does Digital Transformation Alleviate Stock Price Delays: Evidence from China*
Authors: Feng Panpan , Pang Jiangwu , Jeon Seongil 
Published: July 2024

AbstractThis study uses data from Chinese A‐share listed firms from 2009 to 2021 to explore how enterprise digital transformation affects stock price delays. We find that implementing enterprise digital transformation significantly alleviates stock price delays. The mechanism analysis shows that enterprise digital transformation significantly alleviates stock price delays in enterprises with high information transparency and robust internal control. Heterogeneity analysis indicates that digital transformation's alleviating effect on stock price delays is stronger for non‐SOEs and enterprises with high industry competition. This study provides valuable insights into alleviating stock price delays, thus enhancing capital market pricing efficiency.
Towards a home‐grown rural health workforce: Evidence from Tasmania, Australia
Authors: Jessup B. , Tran N. , Stevens T. , Allen P. , Barnett T. 
Published: July 2024

AbstractObjectiveTo examine the association between place of origin and principal place of practice (PPP) of domestic Tasmanian health graduates who received end‐to‐end training with the University of Tasmania (UTAS).MethodsThe 2022 PPP for all UTAS domestic Tasmanian graduates from medicine, nursing, pharmacy, psychology, medical radiation science and paramedicine between 2011 and 2020 was identified using the online Australian Health Practitioner Regulation Agency (Ahpra) registration database. The graduate's place of origin (home address at the time of course application), together with their 2022 PPP, was described using the Modified Monash Model (MM) classification system of remoteness. Data were analysed using STATA.ResultsOver the 10‐year period, 4079 domestic Tasmanians graduated from health courses at UTAS, of which 3850 (94.4%) were matched to an Australian PPP. In all, 78.3% of graduates were working in Tasmania, while the remainder (21.7%) were employed interstate. Of those with a Tasmanian PPP, 81.4% were working in a regional setting (MM2), while 77.6% of interstate employed graduates recorded a metropolitan (MM1) PPP. Rural place of origin (MM3‐7) was associated with rural employment (MM3‐7) in both Tasmania (OR, 37.08; 95% CI 29.01–47.39, p < 0.001), and on the Australian mainland (OR, 21.4; 95% CI 17.4–26.3, p < 0.001).ConclusionsMost domestic Tasmanian origin UTAS health graduates contribute to the state's health workforce after qualifying. Further research is needed to explore PPP over time and to understand why some graduates are motivated to seek employment on the Australian mainland and in particular, metropolitan cities.
Can environmental tax promote green M&A in emerging market firms? Evidence from China's heavy polluters
Authors: Wang Deli , Wang Yan , Zhou Minxian 
Published: July 2024

AbstractBased on a sample of heavily polluting firms listed in China, we examine the impact of environmental taxes on the green M&A behavior of these firms. Our findings underscore that environmental taxes have significantly increased the likelihood of heavily polluting firms engaging in green M&A endeavors. This impact is particularly pronounced in areas with high media attention, low financing constraints, and high environmental investment. However, our examination of the economic consequences shows that green M&A does not improve the green innovation performance and ESG performance of firms. The analysis of M&A motivations shows that the majority of heavy polluters' green M&A targets are located in regions with weak environmental regulation, confirming that green M&A under the environmental tax burden is a tool used by firms to engage in pollution transfer. In addition, green M&A under the environmental tax burden is characterized by financial investment, connected M&A, and nonsignificant M&A, confirming that green M&A under the environmental tax burden may be a tool used by companies seeking only the appearance of “greenwashing.” Therefore, green M&A under the environmental tax burden tends to be underpinned by opportunistic motives of pollution transfer and “greenwashing,” rather than substantive green transformation and upgrading. We provide evidence from emerging markets on the impact of environmental taxes on green M&A, which adds to the literature in this area and has policy implications for government regulation of corporate environmental governance practices.
Average treatment effects on binary outcomes with stochastic covariates
Authors: Kiefer Christoph , Woud Marcella L. , Blackwell Simon E. , Mayer Axel 
Published: July 2024

AbstractWhen evaluating the effect of psychological treatments on a dichotomous outcome variable in a randomized controlled trial (RCT), covariate adjustment using logistic regression models is often applied. In the presence of covariates, average marginal effects (AMEs) are often preferred over odds ratios, as AMEs yield a clearer substantive and causal interpretation. However, standard error computation of AMEs neglects sampling‐based uncertainty (i.e., covariate values are assumed to be fixed over repeated sampling), which leads to underestimation of AME standard errors in other generalized linear models (e.g., Poisson regression). In this paper, we present and compare approaches allowing for stochastic (i.e., randomly sampled) covariates in models for binary outcomes. In a simulation study, we investigated the quality of the AME and stochastic‐covariate approaches focusing on statistical inference in finite samples. Our results indicate that the fixed‐covariate approach provides reliable results only if there is no heterogeneity in interindividual treatment effects (i.e., presence of treatment–covariate interactions), while the stochastic‐covariate approaches are preferable in all other simulated conditions. We provide an illustrative example from clinical psychology investigating the effect of a cognitive bias modification training on post‐traumatic stress disorder while accounting for patients' anxiety using an RCT.