bluuebunny/crossref_metadata_2025_split huggingface dataset:
Beyond the classroom: the evolving spectrum of ESD research in Japan
Authors: Ohira Yuko 
Published: September 2024

PurposeEducation for Sustainable Development (ESD) has been robustly endorsed through policy mechanisms, prompting numerous context-specific voluntary initiatives in Japanese schools and communities. However, this field remains in its infancy. This study aimed to investigate the literature on ESD in Japan to reveal research trends, identify research gaps and propose areas for future research, from early childhood to higher and non-formal education.Design/methodology/approachThis study employed a qualitative design with a Systematic Literature Review (SLR) approach to analyze 88 peer-reviewed empirical studies on ESD in Japan from 2005 to 2023.FindingsThis study has revealed an observable increase in the number of ESD-related publications, especially after 2015. Most studies emphasize formal education, particularly from elementary school to universities. These articles were categorized into seven thematic foci, with “Pedagogical Approaches and Material Development in ESD” being the most prevalent. There has been an evident shift in Japan from traditional lecture-style methods toward learner-centered ESD pedagogies. However, the country lags behind the global education community in terms of research on and the implementation of Teacher Education for Sustainable Development and the Whole-School Approach.Research limitations/implicationsThe study is confined to peer-reviewed, empirical publications in Japanese or English, potentially overlooking significant non-empirical works and studies in other languages. This limitation could mean missing out on broader insights and perspectives. Furthermore, as a qualitative analysis, there's an inherent risk of bias in interpreting data and categorizing themes. These constraints suggest caution in generalizing the findings and indicate areas for further research, such as expanding the linguistic and methodological scope and enhancing objectivity in analysis.Practical implicationsThe findings suggest a pressing need for Japan to refine its approach to ESD, particularly in teacher training and school management, aligning more closely with global practices. For practical application, this involves adopting more holistic teacher education programs and school management strategies that integrate ESD principles comprehensively. Recognizing the unique challenges of Japan's educational culture is crucial for developing tailored strategies that not only follow global best practices but also resonate locally. These insights aim to guide meaningful interventions, promoting an education system adept at addressing sustainability challenges.Originality/valueCategorizing the literature into formal and non-formal settings and subsequently into seven themes offers a clear depiction of the research trends. A comparison of Japan's specific advancements and challenges in ESD with global trends, particularly in pedagogy, teacher education and institutional management, highlights the areas needing further exploration.
Local government debt and firm’s outward foreign direct investment
Authors: Wang Zifeng , Ning Zhiyuan , Wu Fei 
Published: September 2024

PurposeThe purpose of this study is to provide evidence that government financing behavior has an impact on the outward foreign direct investment (OFDI) of enterprises.Design/methodology/approachThis paper uses debt data from local government financing vehicles to measure the local government debt in China. Based on the data of listed manufacturing firms in China from 2010 to 2018, this paper uses the Tobit model to verify the impact of local government debt and firms' OFDI.FindingsThe results indicate that local government debt impedes firms' OFDI, with a more pronounced impact on state-owned enterprises (SOEs) and those with higher political connections. Furthermore, our study suggests that the dampening effect of local governments on firms' OFDI is mitigated in regions following the implementation of the Local Government Debt Management Act.Originality/valueThis study verifies the negative impact of local government debt activity on firms' overseas investments. This is not due to debt crowding out, but rather to the fact that local governments prefer to keep resources locally to stimulate the economy. This paper offers novel insights into the theoretical mechanisms by which local government behavior influences firms' investment activities in emerging markets.
Effect of macro- and micro-morphology on fluid film properties based on plasto-elastohydrodynamic lubrication
Authors: Wang Tianci , Lu Yan , Zhang Hao , Liu Jianxi , Zheng Yunfei , Tu Fuquan 
Published: September 2024

Purpose
The developed plasto-elastohydrodynamic lubrication (PEHL) model is used to demonstrate the permanent change of macro morphology by critical high local stress at micro asperities in contact, which may further affect the fluid-film characteristics.

Design/methodology/approach
Geometric morphology is integrated into the PEHL model to elucidate the fluid-film properties governed by both macro- and micromorphologies.

Findings
Results show the model, accounting for combination of elastic and plastic deformations, realistically reveals fluid film distribution affected by the significant pressure highly concentrated within surface micro roughness interaction. The designed macroscopic textured surface mitigates the fluid film rupture phenomenon and prevents accumulated wear degradation from plastic deformation.

Originality/value
The PEHL model takes into account both elastic and plastic deformations and realistically reveals the fluid film distribution affected by large pressures that are highly concentrated in surface micro-roughness interactions. The macro-textured surfaces are designed to mitigate fluid film rupture phenomena and prevent cumulative wear caused by plastic deformation.

Peer review
The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-05-2024-0170/
The roles of key suppliers in network formation when reshoring
Authors: Baraldi Enrico , Ciabuschi Francesco , Fratocchi Luciano , Pedroletti Daniel , Picciotti Antonio 
Published: September 2024

Purpose
Reshoring implies the reconfiguration of supply networks. Focusing on the specific case of a born-offshored firm that engaged in reshoring of outsourced activities, this study aims to analyse how initial key suppliers in the home country can help the reshoring firm to organize a new supply network.

Design/methodology/approach
The research is qualitative and based on a single exploratory case study. The data was collected from multiple primary and secondary sources, and using different techniques, such as in-depth interviews, direct observation and network pictures.

Findings
The study provides insights on how an initial key supplier can enable its customers’ reshoring in the home country. Specifically, the authors identify 10 roles played by a key supplier. The results also identify supply network formation as an essential component of the reshoring process.

Originality/value
This paper provides unique contributions. Firstly, it presents the specific and under-explored case of a born-offshored firm engaged in outsourced reshoring; secondly, it sheds light on the roles that key suppliers may play for the reshoring process; thirdly, it explores the formation of business relationships in the context of reshoring. In essence, the paper contributes to the reshoring literature, by stressing the importance of supply network formation in the reshoring process and by identifying the multiplicity of roles that key suppliers can play when implementing reshoring, and to the industrial marketing and purchasing (IMP) literature, by showing how relationships and networks develop during reshoring, a phenomenon so far understudied by IMP scholars.
Analyzing the impact of investor sentiment on S&P 500 prices using deep learning models
Authors: Khalife Danielle , Yammine Jad , El Bazi Tatiana , Zaki Chamseddine , Jabbour Al Maalouf Nada 
Published: September 2024

Purpose
This study aims to investigate to what extent the predictability of the standard and poor’s 500 (S&P 500) price levels is enhanced by investors’ sentiments extracted from social media content, specifically platform X.

Design/methodology/approach
Two recurrent neural network (RNN) models are developed. The first RNN model is merely based on historical records and technical indicators. In addition to the variables included in the first RNN model, the second RNN model comprises the outputs of the sentiment analysis, performed using the TextBlob library. The study was conducted between December 28, 2011, and December 30, 2021, over 10 years, to obtain better results by feeding the RNN models with a significant quantity of data by extending the period and capturing an extensive timespan.

Findings
Comparing the performance of both models reveals that the second model, with sentiment analysis inputs, yields superior outcomes. The mean absolute error (MAE) of the second model registered 72.44, approximately 50% lower than the MAE of the technical model, its percentage value, the mean absolute percentage error, recorded 2.16%, and finally, the median absolute percentage error reached a value of 1.30%. This underscores the significant influence of digital platforms in influencing the behavior of certain assets like the S&P 500, emphasizing the relevance of sentiment analysis from social media in financial forecasting.

Originality/value
This study contributes to the growing body of literature by highlighting the enhanced predictive power of deep learning models that incorporate investor sentiment from social media, thereby advancing the application of behavioral finance in financial forecasting.
Exploring the influence of online restaurant promotions on consumer behavioral intentions
Authors: Wareebor Sukanya , Suttikun Chompoonut , Mahasuweerachai Patcharaporn 
Published: September 2024

PurposeConsumer behavior is evolving rapidly due to the increasing role of technology in daily life. Online food ordering has emerged as a key channel in this changing landscape. This paper investigates the relationships between online promotions, consumer skepticism, information sharing on social media and the intention to purchase food and beverages through online delivery services.Design/methodology/approachMeasures were developed based on a review of existing literature. Data from 402 participants were analyzed using Structural Equation Modeling (SEM).FindingsThe study reveals that online promotions significantly impact consumers' sharing of restaurant posts. Additionally, consumer skepticism about online food sales affects both their sharing behavior and their intention to purchase online. Engagement in sharing restaurant posts online is a strong predictor of online food purchasing intentions.Practical implicationsThe findings offer valuable insights for restaurant operators, policymakers and technology developers in the competitive online food delivery sector. They emphasize the importance of implementing innovative promotions and crafting appealing food presentations. These strategies can accelerate customer decision-making, attract new customers and contribute to market expansion and customer base sustainability.Originality/valueThis research provides significant insights for restaurant owners and contributes to the limited literature on online promotions, consumer skepticism and information sharing in the restaurant industry. It also lays the groundwork for future studies aimed at deepening understanding in this field.
Lifetime deals: the role of software service offering in convincing consumers
Authors: Sorkun Metehan Feridun , İdin Noyan Alperen 
Published: September 2024

Purpose
This study aims to reveal consumer purchase intentions for Software-as-a-Service (SaaS) lifetime deals and the role of service offerings in shaping these intentions.

Design/methodology/approach
Lifetime deals − an aggressive market penetration strategy − have the potential to allow startups to gain market share, user base and the cash necessary for growth. However, startups need to mitigate consumer concerns for which service offering design plays a key role. Drawing on expectancy-value and signaling theories, this study developed a research model and then conducted empirical research on 2,173 consumers via choice-based conjoint analysis to reveal the critical service offering attributes for consumer utility in lifetime deals in the SaaS presentation tool market context. After using the hierarchical Bayes model to derive each respondent’s part-worth utilities for service offering attributes, the hypotheses were tested via the factor score regression method.

Findings
The results show that the service offering attributes of low price, refund option, human support and feature updates enhance consumer utility in SaaS lifetime deals. Three of these four attributes, namely, low price, refund option and feature updates, enhance consumers' purchase intentions by reducing their concerns about the service’s performance, seller and lifespan, respectively.

Originality/value
This study elucidates consumer purchase intentions for SaaS services in digital marketplaces. By investigating a widespread market entry strategy − lifetime deals − it shows consumer preferences and behavior for these deals in the fast-growing online tools market. This study also shows how startups can use lifetime deals through a well-designed service offering to mitigate various consumer concerns.
Digital health startups: growth financing and valuation drivers that signal strength for investors
Authors: Burton Kristin , Heath Michele , Luse William 
Published: September 2024

PurposeThe study investigates the impact of various factors on the number of active investors in digital health startups. Through nine hypotheses, we examine the influence of metrics such as patents, online presence, financial aspects and company valuation on investor interest. The results reveal positive associations between these metrics and investor numbers, highlighting their role in signaling strength and attracting investment. This research enhances the understanding of investor valuation in digital health startups, emphasizing the importance of credible signals for building trust and securing funding. However, we acknowledge limitations in data analysis methods and suggest future research to explore industry signals, longitudinal trends and failed startups for comprehensive insights.Design/methodology/approachThis study delves into the design methodology and approach, aiming to fill gaps in understanding investor roles in valuing digital health ventures. We focus on deciphering factors driving valuations for these startups to secure growth financing. Using signaling theory, we investigate how entrepreneurs communicate their latent strengths to bridge information gaps, aiding investment decisions. We analyze a sample of 482 healthcare startups from the Pitchbook database using Poisson regression in SPSS.FindingsThis research sheds light on the factors driving investor interest in digital health startups. Despite the critical role of entrepreneurs in patient care innovations, the relationship between investor characteristics and funding for digital health technologies still needs exploration. We examine factors influencing investor valuation in healthcare startups and identify patents, social followers and financial disclosures as pivotal elements shaping investor interest. The findings show that all factors for active investors are significant for all variables except similar unique visitors.Originality/valueThese results significantly enhance our understanding of investor decision-making in digital health startups. They confirm the importance of various signals, like patent activity, online presence and financial performance, in attracting investor attention. We utilize unique data sources, offering insights into investors' behavior across different funding stages. In conclusion, these findings underscore investors' crucial role in the growth and funding of healthcare tech startups, emphasizing the need for robust signals to attract investment.
Are library data and metadata dying or nearly dead? A discussion for everyone
Authors: Frederick Donna Ellen 
Published: September 2024

Purpose
This paper aims to inform noncataloguers about the current and historical significance of both machine readable cataloguing (MARC) records and traditional cataloguing as well as introduce them to current struggles to modernize.

Design/methodology/approach
The approach of this column is to break-down what may appear to be a crisis in the modernization of library cataloguing and metadata by placing the issues in their historical context and considering existing technologies in a user-friendly manner.

Findings
MARC-based cataloguing is well-established, robust and widely used in many library applications. It is not easily replaced and attempts to do so have had very slow progress. Although change is expected in the future, it may lay with solutions based on Artificial Intelligence (AI) technologies.

Originality/value
Although there are many papers discussing the merits of traditional cataloguing and the need for new methods and standards, few are written from a nontechnical point of view and for noncataloguers or those not working in systems departments. This column's intended audience is all library workers with an emphasis on those who are not familiar with MARC.
A test of moderated serial mediation model of compulsive buying among Gen Z fandoms moderated by trash talking
Authors: Suprawan Lokweetpun , Oentoro Wanny , Suttharattanagul Sarinya L. 
Published: September 2024

Purpose
The study aims to identify the factors that influence young consumers’ compulsive buying, particularly Gen Z consumers who exhibit fandom qualities such as sharing the same interests and being willing to collaborate with others. This study investigates the direct and indirect impact of brand love and brand addiction on the relationship between social media addiction and compulsive buying.

Design/methodology/approach
The study collected data from 338 Gen Z fandoms. The snowball sampling approach is used to determine and collect data from the sample. To test for hypotheses, the study used the PROCESS macro with bootstrapping techniques to explore the direct and indirect relationships, as well as the moderated serial mediation model in this study.

Findings
The study found that social media addiction influences compulsive buying via the hierarchical linkages between brand love and brand addiction. Trash talking functions as a stimulant, amplifying the effect of brand addiction on compulsive buying.

Research limitations/implications
The data were collected from young Thai consumers; thus, the generalizability aspect of the research is limited and needs to be tested in different countries and cultures.

Originality/value
This research provides several key contributions to the understanding of compulsive buying behavior among Gen Z, particularly within the context of a developing country. By integrating the stimulus-organism-response framework and psychological theories, this study offers a nuanced understanding of how social media addiction influences emotional and behavioral outcomes. Previous studies have primarily focused on these variables in isolation. The study fills this gap by demonstrating the sequential pathway through which social media addiction translates into compulsive buying behavior via brand love and brand addiction.
Tree species richness suppresses red imported fire ant invasion in a subtropical plantation forest
Authors: Wang Pengyang , Wu Donghao , Wang Yongjia , Shen Zhiqiang , Li Buhang , Shu Zufei , Chu Chengjin 
Published: September 2024

Abstract

The ecological resistance to the invasion of alien species has been extensively researched at the within‐trophic level; however, the effect of cross‐trophic interactions remains largely unknown. The red imported fire ant (RIFA, Solenopsis invicta) is a globally invasive species, and a cross‐trophic interaction study between RIFAs and plants may provide a more comprehensive understanding and management of its invasion.

We hypothesized that the diversity of trees, which are the primary producers supporting terrestrial ecosystems, could suppress the invasion of omnivorous RIFAs by regulating food resources (e.g. plants and arthropods) and the microenvironment (e.g. soil microclimate) as well as enhancing competition with other carnivorous ants. To test this hypothesis, we investigated RIFA abundance and mound numbers across tree species richness gradients in a subtropical plantation forest.

Using structural equation models, we discovered that tree species richness had contrasting effects on RIFA abundance and mound numbers. RIFA abundance directly decreased with higher tree species richness because of the dilution effect (i.e. lower abundance of preferred tree species). In contrast, RIFA mound numbers indirectly increased with tree species richness via an increase in arthropod abundance (excluding ants) (i.e. more ample food resources for RIFA). Moreover, warmer soil temperatures decreased RIFA abundance, whereas other carnivorous ant species richness and abundance negatively affected RIFA abundance and mound numbers.

Synthesis and applications: Our findings demonstrate that the ecological resistance to RIFA invasion is influenced by tree species richness in a complex manner; specifically, the relative strengths of the effects of tree species characteristics, native competitors and environmental conditions are likely to impact the power of ecological resistance. This highlights the importance of cross‐trophic interactions underlying the resistance of complex ecosystems to alien species invasion; therefore, maintaining diverse tree communities in controlled systems (e.g. suburban and urban green spaces) should be viewed as a potential strategy for controlling RIFA invasion.