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Although there is growing critical awareness in ELT around the rise of English as a global language, studies on teachers’ investment in critical pedagogy remain limited in mainstream ELT curricula, and the impact of such investment on teachers’ identities is not clear. To address this gap, with the inclusive paradigm of Global Englishes (GE), the paper presents a case study of an English teacher’s investment in GE at a middle school in China.

This study employed a qualitative approach. Semi-structured interview was conducted with the participant – May, focusing on her reported practices and her understanding of her roles during the investment in GE. The interview process was guided by an interview protocol which was designed based on related literature on GE, the theoretical framework, and the research context. A content analysis method was utilized to generate descriptive categories concerning participant’s identities and investment in GE.

Analysis of interview data reveals that through investment in GE, May not only constructed her identity as an English teacher, but also explored identities as a student inspirer, and a peer mentor. These identities exploration and construction were primarily driven by her increased cultural and social capital, despite facing challenges such as high-stakes test policies, native-speakerism ideology, institutional requirements, and limited resources.

Future research incorporating triangulating data such as interviews, and classroom observations, would provide a more comprehensive understanding of English teachers’ identities, and investment in GE. Besides, the findings of this study are primarily from one teacher, they may not fully represent the broader population of English teachers in China.

The findings have several implications for English teaching and teacher education. First, elementary schools, the lower grades of middle schools (grades 7 and 8), or the after-school programs may have opportunities for teachers to integrate GE in teaching. Second, teacher education programs should be designed to provide more chances that enable student teachers to invest in their learning and teaching of GE. Third, proposals for incorporating GE practices in the classroom must adopt a critical perspective, so as to to expose, deconstruct, and reconstruct power dynamics that influence teachers’ investment in GE.

The originality of this study lies in its exploration of English teachers’ investment of GE in their teaching, and the impact of this investment on their identities as English teachers. By investigating these aspects, the study addresses the research gaps in English teachers’ practice of integration of GE in mainstream ELT curricula and provides insights on how to encourage English teachers to incorporate a GE-aware perspective in their teaching.

This study aims to investigate whether managerial short-termism affects the expected default probability for a sample of Chinese-listed firms.

To capture default, we utilize the expected default probability measure developed by Bharath and Shumway (2008). Textual analysis and machine learning techniques are used to construct the index of managerial myopia. We conduct ordinary least squares regression and employ a large sample of 33,164 firm-year observations from Chinese A-share listed firms spanning the years 2001–2021 to test our theoretical hypotheses. We further conduct mediation tests, moderating analysis, textual features analysis and analysis of actual default firms. In addition, we employ change regression, entropy-balanced/propensity score/closest assets matching analysis, two-stage least squares regression, two-stage residual intervention method and alternative estimation methods to address endogeneity concerns.

First, there is a positive and statistically significant relationship between managerial myopia and expected default probability. Second, the mediation tests indicate that managerial myopia increases the expected default probability through operational risk and opportunistic agency channels. Third, the cross-sectional tests reveal that the positive association is less pronounced for firms with effective internal control systems, higher audit quality and more financial analyst coverage.

Our study reveals the need for comprehensive early warning mechanisms in the corporate bond market in China, in particular, through enhanced transparency of managerial incentive schemes and more rigorous disclosure requirements regarding short-term managerial decision-making. Furthermore, the findings of our study suggest the necessity of taking an integrated approach in developing regulatory frameworks that enable market intermediaries – including rating agencies, financial analysts and external auditors – to execute their monitoring functions with greater effectiveness.

Prior research has examined the impact of managers’ demographic characteristics on a range of corporate organizational outcomes; however, there have been few studies investigating the influence of managerial myopia on corporate financial risks. This study advances the literature on the determinants of default probability. It contributes to the limited and emerging studies on the role of managerial myopia by being the first to examine the effect of managerial myopia on expected default probability.

This study uses the pleasure–arousal–dominance (PAD) theory to explore how users’ emotional engagement with ChatGPT drives their continued adoption of ChatGPT and word-of-mouth (WOM) behaviour in the context of travel-related service.

This study obtained reliable data from 428 Chinese respondents who used ChatGPT for travel-related purposes. Structural equation modelling was used to test a series of hypotheses based on the PAD framework.

This study identifies three key features of human–artificial intelligence (AI) interaction, namely, service ubiquity, entertainment and anthropomorphism, which significantly influence users’ emotional responses, including pleasure, arousal and dominance. Dominance and pleasure are found to enhance emotional experiences, driving continued adoption and positive WOM recommendations for ChatGPT, whereas arousal influences WOM but does not affect continued adoption. The results also confirm that users’ perceived pleasure from interacting with ChatGPT has the strongest effect. These findings advance theoretical understanding by clarifying the emotional mechanisms underlying human–AI interactions in the tourism context.

This study examines the emerging trend of tourists’ continuous adoption of ChatGPT for travel-related services. The results highlight how different emotions in human–AI interaction influence long-term use of AI-powered tool for travel-related services.

本研究基于愉悦-兴奋-支配（PAD）理论, 探讨在旅行相关服务中, 用户对 ChatGPT 的情感投入如何推动其持续使用该技术, 并激发口碑行为。

本研究基于428名使用过ChatGPT进行旅游相关服务的中国受访者所提供的可靠数据, 运用结构方程模型（SEM）, 结合PAD框架, 对一系列假设进行了验证。

本研究确定了用户与人工智能互动的三个关键特征：服务无处不在、娱乐性和拟人化, 这些特征对用户的情感反应（包括愉悦感、兴奋感和主导感）产生了显著影响。研究发现, 主导性和愉悦感增强了用户的情感体验, 推动了对ChatGPT的持续采用和积极的口碑推荐（WOM）, 而兴奋感仅影响口碑推荐, 但不影响持续采用。研究结果还证实, 用户在与ChatGPT互动中感知到的愉悦感具有最强的影响力。这些发现阐明了旅游业中人与人工智能互动的情感机制, 推动了相关理论的深入理解。

本研究探讨了游客持续采用ChatGPT进行旅游相关服务的这一新兴趋势。研究结果突显了在人机交互中, 不同情感如何影响游客对人工智能驱动工具在旅游服务中的长期使用。

Propósito: El estudio emplea la teoría del placer-despertar-dominio (PAD) para explorar cómo el compromiso emocional de los usuarios con ChatGPT impulsa su adopción continuada de ChatGPT y el comportamiento boca a boca en el contexto de un servicio relacionado con los viajes.

Este estudio recopiló datos fiables de 428 participantes chinos que utilizaron ChatGPT para fines relacionados con viajes. Se empleó el modelado de ecuaciones estructurales para evaluar una serie de hipótesis fundamentadas en el marco PAD.

Este estudio identifica tres características clave de la interacción entre humanos e IA: la ubicuidad del servicio, el entretenimiento y el antropomorfismo, que influyen significativamente en las respuestas emocionales de los usuarios, como el placer, la excitación y la dominación. La dominación y el placer mejoran las experiencias emocionales, impulsando la adopción continuada y las recomendaciones boca a boca positivas de ChatGPT, mientras que la excitación solo influye en las recomendaciones boca a boca, sin afectar la adopción continuada. Los resultados también confirman que el placer percibido por los usuarios al interactuar con ChatGPT es el factor con mayor impacto. Estos hallazgos contribuyen a la comprensión teórica al esclarecer los mecanismos emocionales que subyacen en las interacciones entre humanos e IA en el contexto del turismo.

Este estudio analiza la tendencia emergente de la adopción sostenida de ChatGPT por parte de los turistas en el ámbito de los servicios de viaje. Los resultados subrayan cómo las diversas emociones generadas en la interacción humano-IA inciden en el uso prolongado de herramientas basadas en IA para servicios turísticos.

This study aims to investigate the impact of firms’ digital orientation (FDO) on corporate green innovation (CGI) among Chinese firms, examining the effects of financial constraint as the mediator and exploring heterogeneous effects across different firm contexts.

Using a sample of 28,697 firm-year observations from Chinese A-share listed companies (2008–2021), we employ a novel multidimensional measure of FDO derived from textual analysis of corporate annual reports. CGI is quantified using patent-based metrics. We utilize fixed-effects panel data models as benchmark regression to quantify FDO’s impact on CGI. Later, we utilize two-stage least squares, alternate measure for core explanatory variable, alternate as well as lead measures for explained variable and propensity score matching to tackle concerns for potential endogeneity.

Our results unveil a substantial positive connection between FDO and CGI. This connection is facilitated through the alleviation of financial constraints. Furthermore, heterogeneity analysis shows that the impact of FDO on CGI is more pronounced for state-owned enterprises, firms in areas with lower financial technology development and politically connected firms.

Our findings suggest that managers should view FDO as a strategic posture that can drive sustainable innovation, not just as a technological imperative. Policymakers should consider the role of FDO when designing policies to promote CGI, particularly in less-developed regions.

This study extends current understanding by: (1) Employing a comprehensive multidimensional measure of FDO that goes beyond the existing technologically focused digital transformation matrices. (2) Identifying financial constraints as a key mediating mechanism in the FDO–CGI relationship. (3) Revealing heterogeneous effects across different firm contexts, providing nuanced insights into how institutional and environmental factors moderate this relationship.

This study aims to use corporate social responsibility (CSR) reporting focused on poverty alleviation in China as a case to demonstrate a unique interplay between the state and private enterprises. It illustrates how CSR reporting has influenced both the mechanisms and outcomes of their interactive relationship, contributing to the construction of symbolic power.

Drawing on Bourdieu’s theory of symbolic power, this study explores how symbolic power has been constructed and reinforced between the state and private enterprises. It highlights the unique role of CSR reporting in facilitating an alignment between private enterprises objectives and state goals, ultimately reinforcing symbolic and social order. The empirical materials examined are the CSR reports prepared by the top 20 private enterprises in China from 2017 to 2022.

Major private business enterprises in China actively engage with the state’s objectives on poverty alleviation as reflected through their CSR reporting practices. This engagement is evidenced by shifts in keywords, dominant language and reporting structure, which closely align with the state’s stance on the issue. As a result, these enterprises receive heightened public recognition, which in turn helps reinforce the symbolic power and its influence on corporate behaviour.

This paper contributes to the CSR accounting literature by revealing a strategic role of CSR reporting that extends beyond conventional compliance levels commonly observed in Western liberal democratic societies. It serves as a function that facilitates interaction between the state and private enterprises in a symbolic power relationship, where both parties mutually benefit from the alignment of interests in poverty alleviation and social positioning.

This paper aims to explore how psychological perceptions and family situations drive women into necessity- or opportunity-based female entrepreneurship (NBFE or OBFE) and the moderating role of gender equality.

This study adopts multilevel logistic regression analysis to examine relationships based on a sample of 6,843 women across eight developing countries drawn from the Global Entrepreneurship Monitor (GEM).

The findings suggest that capability and opportunity perceptions positively affect NBFE and OBFE. Family responsibility burden positively affects NBFE and has a U-shaped relationship with OBFE. Household income negatively affects NBFE but positively affects OBFE. Gender equality weakens the U-shaped relationship between family responsibility burden and OBFE but strengthens the positive relationship between capability perception and NBFE and between opportunity perception and NBFE.

The study highlights the need for targeted policies and support that consider the distinct antecedents and mechanisms of NBFE and OBFE, as well as the importance of promoting gender equality and entrepreneurial education to empower women in their entrepreneurial endeavors. A limitation of this study is the reliance on older data from the GEM, which may not fully capture the current dynamics of developing societies. While the study provides valuable insights, future research should incorporate more recent data to enhance the applicability of the results.

This study deepens the understanding of antecedents of NBFE and OBFE, breaking through the existing literature that neglects the heterogeneity of female entrepreneurship (FE).

Data transformation has prompted enterprises to rethink their strategic development. Scholars have frequently acknowledged the vast potential value of supply chain data and realised that simply owning data resources cannot guarantee excellent innovation performance (IP). Therefore, this study focussed on the mediating and moderating issues between data-driven supply chain orientation (DDSCO) and IP. More specifically, the purpose was to explore (1) whether DDSCO promotes enterprise innovation through dynamic and improvisational capabilities and (2) how information complexity (INC) plays a moderating role between capabilities and performance.

An empirical study was performed using the results of a questionnaire survey, and a literature review was used to build the premises of this study. A sample was conducted on 296 Chinese enterprises, and the data collected were used to test the hypothesis by successive regression.

This research has implications for the theoretical development of DDSCO, as well as the dynamic capabilities (DC) and improvisation capabilities (IC) in innovation strategic literature. The empirical results show that DDSCO has a direct, positive impact on both DC and IC, which thus positively impact IP. Meanwhile, IC has a negative moderating effect on the path joining DC and IP. Conversely, IC has a positive moderating effect on the path joining IC and IP.

Although this study has limitations, it also creates opportunities for future research. The survey comes from different industries, so the possibility of unique influences within industries cannot be ruled out. Second, the authors' survey is based on cross-sectional data, which allow for more comprehensive data verification in the future. Third, this study also provides opportunities for future research, because it proves that DC and IC, as partial mediators of DDSCO and IP, can mine other paths of the data-driven supply chain in IP. For example, the perspective of the relationship between supply chain members, knowledge perspective, etc.

The research findings offer a novel perspective for enterprise managers. First, enterprises can leverage supply chain data to gain competitive advantages in innovation. Second, it is imperative for enterprises to acknowledge the significance of developing dynamic and IC. This also requires enterprises to acknowledge innovations in DDSCO necessitate a focus on dynamic and IC. Third, it is recommended that managers take into account both sides of IC and encourage enterprises to prioritise the utilisation of IC.

Empirical research results revealed how DDSCO improves IP and is an extension of digital transformation in the supply chain field, providing new opportunities and challenges for enterprise innovation. It can also expand the enterprise's understanding of DDSCO. Second, based on resource-based theory, it is possible to develop and test theoretical arguments regarding the importance of dynamic and IC as intermediaries in the DDSCO-IP. Third, the authors conducted simulations of highly dynamic data environments to develop and test theoretical arguments about the importance of IC as a moderator of capabilities-performance relationships.

Dark triad (DT) personality traits, that is, Machiavellianism, narcissism and psychopathy, are socially unenthusiastic and predict a range of antisocial behaviors. Academic entitlement, similarly, demonstrates the students’ rising temptation of higher grades without putting corresponding efforts. Based on coercion theory, this research investigated power distance as mediator between DT and academic entitlement (externalized responsibility and entitled expectations). Further, this study examined DT model of personality as a predictor of academic entitlement in Chinese higher education institutions (HEIs).

Chinese HEIs were ascertained for data collection. Students (with bachelor’s, master’s and Ph.D. degrees) responded to 719 questionnaires for data analysis. Hypothesized relationships were examined through partial least squares structural equation model (PLS-SEM).

This study established positive and significant direct link between DT and academic entitlement. The indirect effect through power distance was found insignificant between the relationship of DT and academic entitlement.

Based on coercion theory, this study extends the prevailing literature through unexplored effects of DT on academic entitlement and role of power distance in Chinese HEIs. This study validated the effect of DT on academic entitlement; however, direct-only no-mediation of power distance between the relationships is novel in Chinese HEIs. Moreover, power distance as mediator is novel between the relationships. Hence, this study provides an understanding of mentioned associations and contributes to the literature.

Nano graphitic-carbon nitride (g-C₃N₄) is an emerging lubrication technology with excellent performance and significant potential for future applications. This study aims to investigate the effect of nano g-C₃N₄ as a lubricant additive on the wear performance of bearing steel disk.

Various mass fractions of g-C₃N₄ were introduced into the base oil. Combining tribological testing, rheological testing and surface analysis methods, the anti-wear properties and lubrication mechanisms were analyzed.

Transmission electron microscopy images revealed that the size of the nanoparticles of g-C₃N₄ ranges from 10 to 100 nm. Phase analysis of the g-C₃N₄ sample was conducted using X-ray diffraction. Further, 1.0% mass fraction of g-C₃N₄ in the base oil provides excellent anti-wear and friction-reducing performance. Compared to the base oil alone, it reduces the average friction coefficient by 63.8% and decreases the wear rate by 43.1%, significantly reducing the depth and width of the wear scar. Energy-dispersive X-ray spectroscopy and scanning electron microscope analysis revealed that the oil sample containing nano g-C₃N₄ can form a lubricating film on the sliding surface of bearing steel after wear, which enhances the lubricating properties of the base oil.

The synergistic effect of the base oil and nanoparticles reduces friction and wear and is expected to extend the service life of bearing steel. These findings suggest that incorporating nano g-C₃N₄ as a lubricant additive offers significant potential for improving the performance of mechanical components.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-12-2024-0456/

In 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.

In 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).

The 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.

Few 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.