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The purpose of this study is to consider the dynamics of Casson–Walters-B alongside gyrotactic microorganisms through the investigation of antibacterial and antiviral mechanisms using silver nanoparticles (AgNPs). The Casson fluid and Walters-B flow from the penetrable plate to the boundary layer (BL) in this analysis. The antiviral and antibacterial mechanisms of AgNPs were separately examined in this study.

The physical phenomenon of this problem was analyzed with partial differential equations (PDEs). These PDEs were changed into ordinary differential equations (ODEs) to further explain the significance of pertinent control parameters. The set of equations is solved numerically by implementing the spectral relaxation method (SRM). SRM is a numerical technique that uses the basic techniques of Gauss-Seidel. The SRM first decouples and linearizes the coupled nonlinear set of ODEs.

In this finding, it is found that the thermal radiation parameter produces higher temperatures within the BL to cause blockage in viral replications. It is found in this study that the magnetic parameter assisted in disinfection by lowering the antiviral and antibacterial mechanisms within the momentum BL. This is evident from the reduction in the velocity and momentum BL as the Casson and Walters-B parameters increase.

This paper is unique because it examined the antiviral and antibacterial mechanisms by using AgNPs. Prior to the authors’ understanding, no study of this type was conducted in the past. To the best of the authors’ knowledge, no other study in the past has examined the mechanisms of antiviral and antibacterial separately within the BL. Also, the simultaneous flow of Casson (honey) and Walters-B fluids were considered flowing through the vertical porous plate to the BL.

The purpose of this paper is to study the mechanochemical effect and self-growth mechanism of double-network (DN) gel and to provide a quasiperiodic model for rubber elasticity.

The chemical reaction kinetics is used to identify the mechanochemical transition probability of host brittle network and to explore the mechanical behavior of endosymbiont ductile network. A quasiperiodic model is proposed to characterize the cooperative coupling of host–endosymbiont networks using the Penrose tiling of a 2 × 2 matrix. Moreover, a free-energy model is formulated to explore the constitutive stress–strain relationship for the DN gel based on the rubber elasticity theory and Gent model.

In this study, a quasiperiodic graph model has been developed to describe the cooperative interaction between brittle and ductile networks, which undergo the mechanochemical coupling and mechanical stretching behaviors, respectively. The quasiperiodic Penrose tiling determines the mechanochemistry and self-growth effect of DNs.

It is expected to formulate a quasiperiodic graph model of host–guest interaction between two networks to explore the working principle of mechanical and self-growing behavior in DN hydrogels, undergoing complex mechanochemical effect. The effectiveness of the proposed model is verified using both finite element analysis and experimental results of DN gels reported in literature.

This paper aims to examine the association between perceived firm risk and two reporting mechanisms: risk disclosure and earnings smoothing in the UK context.

This study juxtaposes three competing views, the “null”, the “divergence” and the “convergence” hypotheses, and empirically investigates whether risk disclosure and earnings smoothing affect firm perceived risk for a sample of large UK firms with rich and poor information environments. This study also uses the global financial crisis as an external shock on overall risk in the economy to investigate when and how managers use these two reporting mechanisms to shape the firm perceived risk.

This paper documents that risk disclosures have no significant effect on investors’ risk perceptions, consistent with risk disclosures containing boilerplate and generic statements about firm risk. This paper also finds that earnings smoothing reduces investors’ risk perceptions, reflecting investors’ interpretations about future firm performance. Additional tests reveal that earnings smoothing is not associated with perceived firm risk for firms with rich information environments and expanded risk disclosures. Furthermore, reporting smooth earnings decreases perceived firm risk following the global financial crisis. These findings are robust to alternative specifications and measures of earnings smoothing as well as post-filing perceived firm risk.

This study does not distinguish between the garbling role and the informational role of earnings smoothing. The risk disclosure measurement used in this study, developed based on UK annual reports, may limit the generalizability of findings to other countries.

The findings suggest that managers should revise their risk disclosure strategies to provide in-depth details on firm risk. Investors might require information and thorough assessment to evaluate investment risks when firms provide generic risk disclosures and smoothed earnings by consulting sources like financial intermediaries. Regulators should keep an eye on firms reporting boilerplate risk disclosures and on how smoothing earnings impacts the firm perceived risk following economic turmoil, to guide interventions that promote market stability.

The findings provide new insights into when and how managers use their financial reporting discretion to make firms appear less risky and, therefore, influence investors’ risk perceptions.

While there is some evidence of a relationship between earnings quality and information asymmetry, there is limited evidence on the moderating role of institutional investors in this relationship. To fill this gap, this study aims to examine how institutional ownership affects the relationship between earnings quality and information asymmetry, with a focus on the impact of different investment horizons.

This study uses a sample of listed European firms from 2000 to 2022. Earnings quality is measured using the McNichols (2002) modification of the Dechow and Dichev (2002) model. The analysis examines the moderating effect of institutional ownership on the relationship between earnings quality and information asymmetry.

This study finds that the relationship between earnings quality and information asymmetry is more pronounced in firms with a higher percentage of institutional ownership. This study finds that the monitoring role of long-term institutional investors is more effective than that of short-term institutional investors. This study also finds that the influence of institutional investors is more significant in firms with incentives to engage in earnings management.

The findings provide evidence suggesting that institutional investors are an important class of investors in terms of exercising an effective monitoring role to mitigate information asymmetry and demand higher earnings quality from their investee firms. These findings are informative for many financial reporting participants, including investors, analysts, regulators and managers.

This study extends the existing research examining the relationship between earnings quality and information asymmetry (e.g. Affleck-Graves et al., 2002; Ascioglu et al., 2012; Bhattacharya et al., 2013; Jayaraman, 2008; Liu and Elayan, 2015) by examining the moderating effect of institutional ownership on this relationship. It further contributes to the literature by distinguishing between long- and short-term institutional investors and their respective monitoring roles. In addition, this study broadens the geographical scope of the research by using cross-country data from European firms, providing evidence that country-specific factors do not uniformly affect the relationship between earnings quality and information asymmetry.

A growing body of research suggests the detrimental impact animosity will likely have on destination image and intentions to visit. The purpose of this study is to conduct a state-of-the-art literature review to account for observed mixed findings by putting forth research propositions to be tested in future studies. This paper also aims to develop a future research agenda based on gaps identified in the literature.

A systematic quantitative method is adopted to review the consumer animosity literature published in tourism journals.

This paper identifies several gaps in the literature and suggests several avenues for future research.

To the best of the author’s knowledge, this paper is the first to conduct a state-of-the-art review of the literature dating back to the seminal consumer animosity research conducted in a tourist setting in 2014.

越来越多的研究表明, 敌意可能会对目的地形象和访问意图产生不利影响。本文的主要目的是进行先进的文献综述, 通过提出在未来研究中测试的研究命题来解释观察到的混合结果。本文还旨在根据文献中发现的空白制定未来的研究议程。

采用系统的定量方法来回顾旅游期刊上发表的消费者敌意文献。

本文指出了文献中的几个空白, 并提出了未来研究的几个方向。

据作者所知, 本文是第一篇自 2014 年在旅游学科中进行的开创性消费者敌意研究以来的文献回顾。

Un número creciente de investigaciones sugiere el impacto perjudicial que probablemente tendrá la animadversión en la imagen de los destinos y en las intenciones de visitarlos. El objetivo principal del presente ensayo es llevar a cabo una revisión bibliográfica actualizada que refleje los resultados mixtos observados, planteando propuestas de investigación que se pondrán a prueba en futuros estudios. El ensayo también pretende desarrollar una futura agenda de investigación basada en las lagunas identificadas en la bibliografía.

se adopta un método cuantitativo sistemático para revisar la literatura sobre la animadversión de los consumidores publicada en revistas de turismo.

El ensayo identifica varias lagunas en la bibliografía y sugiere varias vías para futuras investigaciones.

Hasta donde sabe el autor, este ensayo es el primero que realiza una revisión actualizada de la bibliografía que se remonta a la investigación seminal sobre la animadversión del consumidor realizada en un entorno turístico en 2014.

The present study’s aims are twofold: 1) to contribute to theory development by accounting for both personality and trust in the conceptualization of technology acceptance using the technology acceptance model (TAM) as the theoretical framework; and 2) to explore the influence of ChatGPT-integrated chatbots on tourism behavior.

The target population for this study was travelers who previously used technology (website/ app) to plan their holiday abroad. An online survey questionnaire created with Google Forms was distributed via a panel company (iPanel). A screening question was included to filter out respondents who have not previously used technological means to plan their holiday abroad. A panel company (iPanel) was hired to collect data from a convenience sample of 305 Israeli tourists who met the above criterion between August 22 and 27, 2023, and were at least 18.

A significant and positive relationship was observed between trust in ChaptGPT and perceived usefulness. Furthermore, a significant and positive association was observed between perceived ease of use and intentions to use ChatGPT-integrated chatbots to plan future holidays. Post hoc analyses suggest that perceived ease of use mediates the relationship between extraversion and trust, trust mediates the relationship between perceived ease of use and perceived usefulness and age moderates the relationship between perceived ease of use and behavioral intentions.

Data was collected from a convenience sample of Israeli travelers. Hence, generalizations to other countries, nationalities and cultures should be treated carefully; the study is cross-sectional and thus represents respondents’ beliefs and behavioral intentions at a particular time; and the study is based on one of several theoretical frameworks that can be used to conceptualize behaviors associated with using AI by tourists.

The findings of the present study point to the importance of accounting for tourists’ personal factors, such as personality and age, in developing AI products in the tourism industry. chief executive officers and relevant shareholders would benefit from conducting market research to obtain insights into the factors that may enhance or hamper tourists’ adoption of AI-based technology for planning their holidays abroad.

Previous work falls short of accounting for personality traits and trust in a single model using the TAM framework. To the best of the authors’ knowledge, this is the first study empirically investigating tourism behavior related to ChatGPT based chatbots as a tool to plan future holidays abroad. Furthermore, the possible role of age as a moderating variable was overlooked in past research.

本研究的目标有两个：1）采用技术接受模型作为理论框架, 通过考虑技术接受概念化中的个性和信任来促进理论发展; 2）探讨ChatGPT集成的聊天机器人对旅游行为的影响。

本研究的目标人群是以前使用技术（网站/应用程序）计划出国度假的旅行者。使用 Google Forms 创建的在线调查问卷通过小组公司 (iPanel) 分发。其中包含一个筛选问题, 以筛选出之前未使用技术手段计划出国度假的受访者。聘请了一家调查公司（iPanel）来收集 305 名以色列游客的便利样本数据, 这些游客在 2023 年 8 月 22 日至 27 日期间符合上述标准, 且年龄至少为 18 岁。

在 ChaptGPT 的信任度和感知有用性之间观察到显着且积极的关系。此外, 观察到易用性与使用集成 ChatGPT 的聊天机器人来计划未来假期的意向之间存在显着且正相关的关系。事后分析表明, 感知的易用性调节了外向性和信任之间的关系; 信任调节感知易用性和感知有用性之间的关系, 年龄调节感知易用性和行为意愿之间的关系。

以前的工作未能在单个模型中使用技术接受模型框架来解释个性特征和信任。这是第一项实证研究, 调查与 ChatGPT 集成聊天机器人相关的旅游行为, 作为规划未来出国度假的工具。此外, 过去的研究忽视了年龄作为调节变量的可能作用。

1）数据是从以色列旅行者的便利样本中收集的。因此, 应该谨慎对待对其他国家、民族和文化的概括; 2）该研究是横断面的, 因此代表了受访者在特定时间的信念和行为意愿; 3）该研究基于几个理论框架之一, 该框架可用于概念化游客使用 ChatGPT 集成聊天机器人来计划未来出国度假的意向。

本研究的结果表明, 在开发用于旅游业的基于 ChatGPT 的聊天机器人时, 考虑游客的个人因素（例如个性和年龄）的重要性。首席技术官和相关股东将受益于进行市场研究, 以深入了解可能增强或阻碍游客采用基于 ChatGPT 的聊天机器人来规划未来出国度假的因素。

Los objetivos del presente ossib son dos: 1) contribuir al ossibleo de la teoría incorporando la personalidad y confianza en la conceptualización de la aceptación de la tecnología empleando el Modelo de Aceptación de la Tecnología como marco teórico; 2) analizar la influencia de los chatbots integrados en ChatGPT en el comportamiento turístico.

La población objetivo de este ossib fueron los viajeros que anteriormente utilizaban tecnología (página web/aplicación) para planificar sus vacaciones en el extranjero. Se distribuyó un cuestionario online creado con Google Forms a través de una empresa de paneles (iPanel). Se incluyó una pregunta de selección para filtrar a los encuestados que no habían utilizado previamente medios tecnológicos para planificar sus vacaciones en el extranjero. Se contrató a una empresa de paneles (iPanel) para recopilar datos de una muestra de conveniencia de 305 turistas israelíes que cumplieron el criterio anterior entre el 22 y el 27 de ossib de 2023, y con una edad ossib de 18 años.

Se identificó una relación ossibleon y ossible entre la confianza en ChaptGPT y la utilidad percibida. Además, se evidenció una asociación ossibleon y ossible entre la facilidad de uso percibida y la intención de ossible chatbots integrados en ChatGPT para planificar futuras vacaciones. Los análisis post-hoc sugieren que la facilidad de uso percibida media la relación entre la ossibleon y la confianza; la confianza media la relación entre la facilidad de uso percibida y la utilidad percibida, y la edad modera la relación entre la facilidad de uso percibida y las intenciones de comportamiento.

1) los datos se recopilaron de una muestra de conveniencia de viajeros israelíes. Por tanto, las generalizaciones a otros países, nacionalidades y culturas deben tratarse con cuidado; 2) el ossib es transversal y, por tanto, representa las creencias y las intenciones de comportamiento de los encuestados en un momento determinado; 3) el ossib se basa en uno de los diversos marcos teóricos que pueden emplearse para conceptualizar la intención de los turistas de ossible chatbots integrados en ChatGPT para planificar futuras vacaciones en el extranjero.

Los resultados del presente ossib señalan la importancia de tener en cuenta los factores personales de los turistas, como la personalidad y la edad, en el ossibleo de chatbots basados en ChatGPT para su uso en la industria turística. Los directores de tecnología y los stakeholders relevantes se beneficiarían de investigación de mercado para obtener información sobre los factores que pueden mejorar o dificultar la adopción de chatbots basados en ChatGPT por parte de los turistas para planificar futuras vacaciones en el extranjero.

Los trabajos anteriores no tienen en cuenta los rasgos de personalidad y la confianza en un único modelo utilizando ossible TAM. Este es el primer ossib que investiga empíricamente el comportamiento turístico relacionado con los chatbots basados en ChatGPT como herramienta para planificar las futuras vacaciones en el extranjero. Además, en investigaciones anteriores no se ossible el ossible papel de la edad como variable moderadora.

While scholars have researched the impact of specific total quality management (TQM) aspects on innovation performance (INP), empirical evidence on how the former, as a composite construct, influences the latter is rare. To add, empirical evidence on the mechanism through which TQM passes to affect innovative behaviour (INB) and, then, INP is limited. Essentially, scholars have requested that future research look at the boundary conditions that support the adoption of TQM activities in businesses. Although the banking sector has experienced a number of transformations, there is still a need to raise the standard of service provided to bank customers. This research sheds more light on this subject.

This research tests the hypotheses in Ahinful et al.’s (2023) conceptual model using responses from 260 top- and middle-level bank managers by applying Smart PLS. Organisational support and team member exchange were used as potential control variables for the mediator, while slack resources and bank size were applied to the target endogenous latent construct. Mediation and moderation effects were estimated using the variance accounted for (VAF) and product indicator approaches, respectively. Sig. level was set at 5%.

This study found that TQM and INP had a positive and significant connection (ß = 0.303, p = 0.000), and INB partially mediated this connection (VAF = 40.92%). However, government regulation (GOV; ß = 0.055, p = 0.365), market dynamism (MKD; ß = 0.063, p = 0.434), competitive intensity (CMP; ß = 0.069, p = 0.297) and technological turbulence (TUR; ß = 0.011, p = 0.865) all failed to moderate the TQM–INB connection, although the expected positive directions of these moderation relationships were established.

This research provides empirical evidence on the TQM–INP connection, how this connection may be mediated and how the TQM–INB connection may be activated. It also sheds light on novel ways in which service quality in the banking sector may be improved. Upcoming research may explore other control variables in their research. Since the moderating relationships were unsupported, this avenue is open for further research, particularly in other banking settings across the globe.

Practical lessons for bank consultants, regulators, customers, employees and managers are deliberated.

This research is novel. It is the first to test the hypotheses in Ahinful et al.’s (2023) conceptual model. This study advances the theoretical frameworks and existing knowledge within the TQM, innovation and performance management fields.

This study aims to explore how the degree of chief executive officer (CEO) overconfidence influences the reporting of risk information. Likewise, it delves into how overconfident CEOs shape the usefulness of such risk disclosures, specifically in terms of their relationship with abnormal corporate stock returns.

It examined FTSE350 shares-firms from 2010 to 2018. The textual analysis using a bag-of-words approach with the Nudist 6 QSR software package codes the quantity and tone of risk reporting in the UK firms. The study used a metric based on the firm's capital expenditure rate relative to its industry median in the same year to assess the degree of firm’s CEO overconfidence. The abnormal return of stock reflects the investors' reaction to the quantity and tone of risk disclosure.

UK firms differ considerably in their willingness to share risk information with investors, with a slight tendency toward pessimism in risk reporting. Likewise, firms with high (low) overconfident CEOs disseminate higher (lower) levels of risk reporting. Also, overconfident CEOs provide more positive than negative risk news. Besides, the quantity risk reporting does not impact the abnormal stock return of the corporation. However, the positive risk news has a higher (lower) impact on enhancing the stock return in firms with low (high) overconfident CEOs. Finally, negative risk news tends to have an inverse consequence on the company's stock returns. However, this effect is more pronounced for companies led by highly overconfident CEOs compared to those with less overconfident CEOs.

Stakeholders should be aware that risk reports of firms with overconfident CEOs may exhibit a potential bias toward positive news. Likewise, boards of directors and governance mechanisms should be mindful of the consequences of CEO overconfidence in risk reporting and ensure that risk disclosures accurately reflect the true risk profile of the company.

To the best of the authors’ knowledge, this is the first study to delve into the consequences of CEOs' overconfidence in terms of risk disclosure in the UK. It goes beyond investigating the level or quantity of risk disclosure and also considers the tone of risk reporting, i.e. the messages communicated through the reporting. Likewise, it explores how CEO overconfidence can affect the value-relevance of risk disclosure, shedding light on the role of CEO characteristics in shaping investor perceptions and decision-making.

The prospect of Sub-Saharan Africa (SSA) as an apparel-sourcing base for US fashion companies has been a growing heated debate among academia, industry practitioners and policymakers. This study aims to evaluate SSA countries’ readiness to serve as an alternative sourcing destination to Asia for US fashion companies, focusing on comparing the similarities and differences of US apparel imports from these two regions at the product level.

This study was based on a statistical analysis of detailed product features and assortment information of thousands of apparel items at the stock-keeping unit level sold by US retailers between January 2021 and December 2023.

US fashion companies seemed to leverage SSA countries as suppliers of “niche products,” such as those relatively simple and basic apparel categories containing African cultural elements and targeting the luxury and premium market segment. However, the range of apparel products available for US fashion companies to source from the SSA region remained significantly more limited than those from Asia. Also, US apparel imports from SSA countries were primarily made of cotton and polyester, with less use of other fiber types, including nylon, rayon, viscose, wool and those made from recycled textile materials.

The study’s findings provided fresh insights into why US fashion companies sourced from SSA countries and the specific types of products they were sourcing, going beyond existing studies based on macro trade statistics. The results also deepened the understanding of SSA countries’ competitiveness as an apparel-sourcing destination and their potential to serve as an alternative to sourcing from Asia, particularly from a unique product perspective.

Since the post-liberalization era, a noticeable structural change and transition in employment have unfolded within the Indian economy. Hence, the purpose of this paper is to understand employment transition and elucidate the evolving dynamics of rural economies and employment patterns from agriculture to more productive non-agricultural sectors. Additionally, the study investigates the underlying causes of socioeconomic disparities and their repercussions on employment trends.

To address the aforementioned issues, this study utilised secondary data from labour surveys conducted by the National Sample Survey Organisation spanning from 2004–05 to 2023. Initially, the study computed the magnitude of employment in both agriculture and non-agriculture sectors. Subsequently, the distribution of non-agricultural labour across various socioeconomic characteristics was estimated. Furthermore, a logistic regression model was employed to evaluate the impact of socioeconomic factors on employment choices. Finally, Fairlie’s decomposition model was applied to elucidate workers’ decisions to engage in non-agricultural sectors.

The study reveals a significant rise in rural non-agricultural employment, from 98.4 m in 2004–05 to 193.3 m in 2023, indicating changing job preferences. Notably, the construction and trade sectors emerge as significant drivers of this trend. However, self-employment and casual labour persist, highlighting job vulnerability. Additionally, women and marginalised individuals with low levels of education and socioeconomic status lag behind in non-agricultural employment.

This study makes a significant contribution by offering a thorough analysis of the employment transition from agriculture to non-agriculture over a span of two decades. It provides valuable insights into the evolving dynamics of employment trends.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-11-2023-0904.