bluuebunny/crossref_metadata_2025_split huggingface dataset:
An OWL-S based specification model of dynamic entity services for IoT
Authors: Achour Fatma , Bejaoui Chaima , Jedidi Anis 
Published: January 2025

Purpose
One of the open questions is how to define a complete semantic description of an Internet of Things (IoT) system and how to ensure the device’s identification in this type of system. To answer this question, the authors needed to propose a mechanism to describe an IoT system based on an IoT context ontology description. This mechanism is based on semantic web services creation to identify objects in IoT system. This paper aims to propose a model to describe the IoT system. The authors suggest an approach to describe each category of contextual information separately and ensure the adaptation in the IoT system.

Design/methodology/approach
One of the open questions is how to define a complete semantic description of an IoT system and how to ensure the device’s identification in this type of system. To answer this question, the authors needed to propose a mechanism to describe an IoT system based on an IoT context ontology description. This mechanism is based on semantic web services creation to identify objects in IoT system.

Findings
One of the open questions is how to define a complete semantic description of an IoT system and how to ensure the device’s identification in this type of system. To answer this question, the authors needed to propose a mechanism to describe an IoT system based on an IoT context ontology description. This mechanism is based on semantic web services creation to identify objects in IoT system. This paper aims to propose a model to describe the IoT system. The authors suggest an approach to describe each category of contextual information separately and ensure the adaptation in the IoT system.

Originality/value
One of the open questions is how to define a complete semantic description of an IoT system and how to ensure the device’s identification in this type of system. To answer this question, the authors needed to propose a mechanism to describe an IoT system based on an IoT context ontology description. This mechanism is based on semantic web services creation to identify objects in IoT system. This paper aims to propose a model to describe the IoT system. The authors suggest an approach to describe each category of contextual information separately and ensure the adaptation in the IoT system.
Inventory and pricing decisions of brand owners and streamers under demand uncertainty
Authors: Du Zhong , Li Xiang , Fan Zhi-Ping 
Published: January 2025

PurposeIn the practice of live streaming e-commerce, the consumer demand is usually uncertain, and the inventory and prices can be decided by brand owners or streamers. To this end, this study examines the inventory and pricing decisions of the brand owner and streamer in a live streaming e-commerce supply chain under demand uncertainty.Design/methodology/approachIn this study, four scenarios are considered, i.e. the brand owner determines the inventory and price (Scenario BB), the brand owner determines the inventory and the streamer determines the price (Scenario BS), the streamer determines the inventory and the brand owner determines the price (Scenario SB), and the streamer determines the inventory and price (Scenario SS).FindingsThe results show that the inventory and prices, as well as the profits of the brand owner and streamer increase with the consumer sensitivity to streamer’s sales effort level under the four scenarios. The inventory (price) is the highest under Scenario SS (SB), while that is the lowest under Scenario BB (BS). In addition, when the sensitivity is low, the brand owner’s profit is the highest under Scenario BB, otherwise, the profit is the highest under Scenario SS. Regardless of the sensitivity, the streamer’s profit is always the highest under Scenario SS.Originality/valueFew studies focused on the inventory and pricing decisions of brand owners and streamers in live streaming e-commerce supply chains under demand uncertainty, while this work bridges the research gap. This study can provide theoretical basis and decision support for brand owners and streamers.
Audit quality and earnings management: evidence from rural and community banks in an emerging economy
Authors: Donaldy Robert , Massoudi Dianne 
Published: January 2025

PurposeThis paper provides insights into the impact of audit quality on restraining earnings management of rural and community banks (RCBs) in an emerging economy.Design/methodology/approachA two-step generalised method of moments, absolute discretionary accruals using the modified Jones model, and multivariate regression are used to test 215 firm-year observations of 43 RCBs in Ghana.FindingsThe findings suggest a positive association between audit quality, proxied by audit firm ranking, in restraining earnings management. Specifically, the association is significant for B1-ranked audit firms and higher than B-ranked audit firms, whose observed discretionary accruals to total assets ratio is 36.6% higher than B1. Also, a negative statistically significant relationship is found between auditor specialization and earnings management, as RCBs that engage specialized auditors are found to have a lower ratio of discretionary accruals to total assets than RCBs that engage unspecialized auditors.Research limitations/implicationsRCB’s annual reports data for the research was from 2014 to 2018. The 2019 and beyond annual reports data could not be added because the study was conducted during 2019 first quarter, by which time the year had not ended, and that constrained the sample size.Practical implicationsEvidence from this study has policy implications for regulators and audit monitors in their efforts to improve AQ and minimise financial misreporting through the ranking of audit firms. As RCBs are encouraged by the findings to engage the services of higher-ranked audit firms, lower ranks will eventually be encouraged to improve quality performance in a bid to improve their ranking, which will consequently help in the minimisation of financial manipulations in RCBs financial reporting. The contemporary approach of ranking audit firms into A1, A, B1, B, C and D increases competition in the audit market space in improving quality audits more than the traditional approach of dividing audit firms into only big-4 and non-big-4. There is also a need for regulators to encourage RCBs to engage auditors who have specialized in the RCB sector so that their experience can be leveraged in minimizing EM.Originality/valueTo the best of the authors’ knowledge, there is no academic study that explores the impact of audit quality proxied by audit firm ranking and auditor specialisation, on earnings management using hand-collected data sets from non-listed rural banks in an emerging economy. The paper, therefore, fills a research gap in rural financial institution auditing literature.
How law amendments impact women’s economic status and contribute to economic growth
Authors: Zheng Dewei 
Published: January 2025

PurposeGender equality is a highly debated issue worldwide because of its relevance to sustainable economic development. We want to analyse how law amendments can help improve females' economic status and then develop the economy.Design/methodology/approachWe introduce a baseline model of household consumption decision-making and figure out the optimal decision which can maximize their utility.FindingsLaw amendments used to empower females in promotion rate, wage level and education have positive impacts on economic development. The ameliorative condition that the next generation possesses more physical capital and higher human capital accumulation makes it possible to produce and consume more than the predecessors.Originality/valueBuilding on the existing frameworks of the household decision model and the growth model with physical and human capital, we extend attention to the implications of four core factors which impact females’ economic status and the role in which law amendments may play to improve this situation.
Out of sight, out of mind? Investigating the impact of emotional intelligence on counterproductive work behavior in remote work
Authors: Audrin Bertrand , Audrin Catherine , Fernandez Sébastien , Terrier Lohyd 
Published: January 2025

PurposeThe purpose of this research is to investigate the relationship between emotional intelligence (EI) and counterproductive work behavior (CWB) in remote work (RW).Design/methodology/approachIn total, 489 currently employed people were surveyed in April 2022 – 2 years after the start of the pandemic and 1 year before “the great return” to the workplace.FindingsResults reveal that EI is negatively associated with CWB and that RW moderates this relationship. The more people work remotely, the more likely they are to adopt CWB. However, this tendency is lower for people with higher EI.Originality/valueThis research contributes to the literature on CWB by highlighting the role EI plays in the specific context of RW. In terms of practical implications, it sheds lights on the importance of carefully designing human resource management policies towards RW.
Destructive leader behavior: toward an increased understanding of how unethical leader behavior can harm subordinates
Authors: Shafqat Tehmeena , Mushtaq Rabia , Ahmed Anzar 
Published: January 2025

PurposeThis study investigates unethical leadership empirically and examines its linkage with counterproductive workplace behavior through workplace ostracism, moral outrage and moral disengagement. The moderating role of coworker support was also tested.Design/methodology/approachThe data collection comprised a structured survey having a sample of 489 full-time public sector employees, which were analyzed by employing process macros analysis techniques.FindingsThe findings reveal that unethical leadership develops the feelings of isolation at workplace, which leads to severe employee reactions at workplace. Results have revealed a significant positive impact of coworker support.Research limitations/implicationsThis paper concludes with theoretical and practical implications and the potential avenues for future research.Originality/valueThis study adds values to the existing literature on the dark side of leadership by investigating unethical leadership and its related consequences.
A scoping review of QuantCrit research: toward consistency and advancing the approaches
Authors: Young Jemimah , Edosomwan Kristian , Young Jamaal Rashad 
Published: January 2025

Purpose
This scoping review aims to investigate the current utilization of a QuantCrit approach within educational research.

Design/methodology/approach
The research follows the methodological framework proposed by Arksey and O’Malley (2005), employing comprehensive search criteria across various databases to select 24 relevant studies for analysis.

Findings
The analysis of the selected studies underscores the focus of QuantCrit in education, primarily addressing educational inequities related to race, gender and socioeconomic status across K-16 education levels. The methodologies used in the studies ranged from basic descriptive statistics to more advanced techniques like multilevel models and correlational analyses. The significant influence of Gillborn et al.’s (2018) tenets of QuantCrit is evident, although some studies incorporated these tenets without direct citation. Limitations identified include the hindrance in data disaggregation across racial groups due to limited sample sizes, the correlational nature of the studies and the complexity of variables.

Research limitations/implications
The findings highlight the need for more comprehensive investigations in the application of QuantCrit within educational research. Future research should address the limitations identified, focusing on increasing sample sizes, incorporating diverse methodologies and exploring variables more deeply.

Practical implications
The review suggests that future educational research should pay more attention to the intricate application of QuantCrit principles, particularly in addressing educational disparities related to race, gender and socioeconomic status across different education levels.

Originality/value
This scoping review provides valuable insights into the multifaceted application of the QuantCrit approach in educational research and points to the need for comprehensive and nuanced investigations in this domain. The value of the paper lies in its contribution to understanding the role of QuantCrit in addressing educational inequalities and providing a roadmap for future research in this area.
Funding sustainable entrepreneurship: a hybrid systematic literature review and bibliometric analysis
Authors: Derdabi Ayoub , Dvouletý Ondřej 
Published: January 2025

Purpovse
This literature review paper focuses on funding sustainable entrepreneurship. This paper aims to analyse the main trends in the intersection of these two fields, the current focus of the literature and synthesises the main findings.

Design/methodology/approach
The analysis consists of bibliometric literature research and relevant peer-reviewed literature content analysis based on a corpus of 74 papers. The analysis aims to understand how sustainable entrepreneurs can fund their ventures and the main funding sources that could be used. The study also presents the challenges and the strategies to fund sustainable ventures.

Findings
The findings show that the literature in the field is still nascent, even though scholars have shown a growing interest in it in the past five years. The focus of the literature is quite diverse between macro- and micro-level analysis and there are some rising topics such as alternative finance like crowdfunding.

Originality/value
Based on the content analysis, the paper synthesises the main trends of the literature and identifies some potential research gaps, such as post-funding empirical research and the efficiency of regulations supporting the emergence of sustainable entrepreneurship.
Does green innovation facilitate buyer firms’ attainment of trade credit from suppliers? A signalling theory perspective
Authors: Shao Jinan , Yin Li , Dai Jing , Shangguan Wuyue 
Published: January 2025

Purpose
As a crucial supply chain financing instrument, trade credit has become increasingly important for firms to enhance financial flows in supply chains. Yet, scant research has examined how firms’ green innovation affects the attainment of trade credit from their suppliers. To bridge this gap, this study aims to draw on signalling theory to investigate the impacts of incremental green innovation (IGI) and radical green innovation (RGI) on trade credit and the contingent roles of supplier concentration and industry dynamism.

Design/methodology/approach
Using a data set of 3,302 Chinese listed manufacturing companies from 2007 to 2021, our research adopts fixed-effect regression models to test the proposed hypotheses.

Findings
The authors find that both IGI and RGI exert a positive effect on trade credit. Interestingly, supplier concentration weakens the association between RGI and trade credit, whereas it does not significantly influence the association between IGI and trade credit. Moreover, industry dynamism attenuates the relationship between IGI and trade credit, whereas it does not significantly alter the relationship between RGI and trade credit.

Originality/value
The paper extends the supply chain finance literature by applying signalling theory to uncover the effects of IGI and RGI on trade credit and the distinct contingency roles of supplier concentration and industry dynamism. It also provides supply chain managers with important implications regarding how to tailor the strategies of implementing different types of green innovation to acquire more trade credit in different situations.
The clockwork of insect activity: Advancing ecological understanding through automation
Authors: Kirse Ameli , Wittenhorst Manus Arian , Scherber Christoph , Posanski Michel , Scherges Alice , Zizka Vera , Ott David , Noll Niklas W. , Wägele Wolfgang J. 
Published: January 2025

Abstract

Understanding insect behaviour and its underlying drivers is vital for interpreting changes in local biodiversity and predicting future trends. Conventional insect traps are typically limited to assess the composition of local insect communities over longer time periods and provide only limited insights into the effects of abiotic factors, such as light on species activity. Achieving finer temporal resolution is labour‐intensive or only possible under laboratory conditions.

Here, we demonstrate that time‐controlled insect sampling using an automated Malaise trap in combination with metabarcoding allows for the observation and documentation of taxon‐specific activity patterns. Furthermore, these recorded activity patterns can provide valuable insights into the underlying ecological processes.

Insect activity curves, derived from predicted detection numbers using generalised linear latent variable models, reveal distinct differences in activity patterns at higher and lower taxonomic level. While our findings align with existing literature, they also reveal that the activity patterns of some species are more complex than previously known. Additionally, a comparison of the assessed activity patterns across taxa suggest potential, previously undescribed parasitoid–host relationships. Within taxonomic groups, we observe variations in both the timing and duration of activity patterns, which can be linked to differences in mating strategies among closely related species.

By capturing circadian rhythms of insect activity through time‐controlled bulk sampling, we can expand our knowledge on species behaviour, ecology and temporal interactions. This contributes significantly to the advancement of chronoecology, allowing for further exploration of the roles of species and benefits in natural and anthropogenic ecosystems, alongside their potentially significant threat.
The transition from resistance to acceptance: Managing a marine invasive species in a changing world
Authors: Keller Abigail G. , Counihan Timothy D. , Grosholz Edwin D. , Boettiger Carl 
Published: January 2025

Abstract

Marine invasive species can transform coastal ecosystems, yet mitigating their effects can be difficult, and even impractical. Often, marine invasive species are managed at poorly matched spatial scales, and at the same time, rates of spread and establishment are increasing under climate change and can outpace resources available for population suppression. These circumstances challenge traditional conservation goals of maintaining a historic environmental state, especially for a species like the European green crab (Carcinus maenas), a formidable invader with few examples of successful long‐term removal programs.

A management paradigm where decision alternatives include resisting or accepting a new ecological trajectory may be needed. We apply mathematical concepts from decision theory to develop a quantitative framework for navigating management decisions in this new resist‐accept paradigm. We develop a model of European green crab growth, removal and colonization, and we find optimal levels of removal effort that minimize both ecological change and removal cost.

We establish a benchmark of colonization pressure at which green crab density becomes decoupled from a decision maker's actions, such that population control can no longer shape the invasion trajectory. For informing the decision boundary between resistance and acceptance, our results highlight that a decision maker's understanding of how removal cost scales with removal effort is more important than understanding the density‐impact relationship.

We show that assuming stationary system dynamics can result in sub‐optimal levels of species removal effort, highlighting the importance of developing anticipatory management strategies by accounting for non‐stationary dynamics.

Policy implications. For marine invasive species that can disperse across long distances and recolonize rapidly after removal, the focus of conservation policy should shift away from understanding how to resist change to understanding when to stop resisting change. Navigating this decision problem involves trade‐offs among competing objectives, highlighting the need for structured approaches to elicit objective weights that reflect the values of the decision maker. For natural resource managers facing possible ecosystem transformation, this decision framework can enable proactive and strategic decisions made under uncertainty in a changing world.
Metagenomic and Transcriptomic Analysis Reveals Crosstalk Between Intratumor Mycobiome and Hosts in Early‐Stage Nonsmoking Lung Adenocarcinoma Patients
Authors: Sun Yaohui , Gan Zhiming , Liu Shijiancong , Zhang Sheng , Zhong Wei , Liu Jian , Huang Xiuting , He Wei , Zhong Hongcheng , Cao Qingdong 
Published: January 2025

ABSTRACTBackgroundThe mycobiome in the tumor microenvironment of non‐smokers with early‐stage lung adenocarcinoma (ES‐LUAD) has been minimally investigated.MethodsIn this study, we conducted ultra‐deep metagenomic and transcriptomic sequencing on 128 samples collected from 46 nonsmoking ES‐LUAD patients and 41 healthy controls (HC), aiming to characterize the tumor‐resident mycobiome and its interactions with the host.ResultsThe results revealed that ES‐LUAD patients exhibited fungal dysbiosis characterized by reduced species diversity and significant imbalances in specific fungal abundances. Concurrently, microbial functional analysis revealed significant alterations associated with genes such as ribosomal proteins and histones. We observed correlations between Yarrowia lipolytica, Saccharomyces paradoxus, and tumor‐infiltrating immune cells (TIICs), and identified a strong association (|rho| > 0.7) between S. paradoxus and 14 transcription factors. A signature of three prognostic genes (GRIA1, CDO1, FHL1) closely associated with S. paradoxus was identified and they suggest that the interaction between the mycobiome and the host may contribute to prolonged overall survival (OS). Finally, a predictive model based on six fungi demonstrated decent classification performance in distinguishing ES‐LUAD cases from HCs (AUC = 0.724).ConclusionsOur study demonstrates that the interactions between the mycobiome and transcriptome within tumors may help elucidate the pathogenic mechanisms of ES‐LUAD. Fungi, as a potential predictive tool, can be used as an additional resource for accurately detecting and discriminating individuals with ES‐LUAD.