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Robots are widely used in industrial manufacturing and service industries around the world. However, most of the previous studies on industrial robots use data at the national or industry level in the context of developed countries. This study examines the impact of imported industrial robots on firm innovation at the firm level in China.

Drawing on a large dataset of more than three million records in China, including non-publicly traded small and medium firms, the authors adopt a difference-in-differences method to investigate the impact and channels of industrial robots on firm innovation.

The authors find that the application of industrial robots increases firm innovation. Two possible channels are identified through which robots promote innovation: alleviation of financial constraints and the improvement of human capital. Further analysis shows that the effect of robots on innovation is more pronounced for firms that are highly dependent on external financing, belong to high-tech industries, import high-end robots, have insufficient supply of skilled labor and private firms (non-SOEs). The authors also find that industrial robots increase the firms' innovation quality and the marginal contribution of innovation to firms' total factor productivity.

This study provides big data evidence of the unintended positive consequences of industrial robots on firm innovation. The results are helpful to clarify the controversy of industrial robots. It also has important implications for government industrial policy making, firm innovation and human resource management.

The objective of this study is to estimate the gender wage gap in Vietnam and its rural and urban areas, especially with the presence of foreign firms.

The authors use cross-sectional data from three rounds of the Vietnam Household Living Standards Survey (VHLSS 2008, 2012, and 2016) to investigate this issue. The unconditional quantile regression and Oaxaca–Blinder (OB) decomposition are used in this article.

The article finds the gender wage gap favouring men, especially in higher quantiles of the wage distribution. The gap in urban Vietnam was higher than in rural areas. The OB decomposition indicates that gender wage gap is mainly driven by gender discrimination. The differences in return to participation in foreign companies only contributed significantly and positively to such a gap in some models. It suggests that the gap in those models is affected by gender discrimination in employment opportunities in foreign companies. Regarding the endowment effect, some models provide the significantly negative impacts of foreign firms on gender wage inequality.

The study suggests that policies to reduce the gender wage gap should pay more attention to foreign firms, especially at higher wage classes.

The purpose of this study is to prepare ZnFe₂O₄ nanospheres, sheet MoS₂ and three ZnFe₂O₄@MoS₂ core-shell composites with various shell thicknesses, and add them to the base oil for friction and wear tests to simulate the wear conditions of hybrid bearings.

Through the characterization and analysis of the morphology of wear scars and the elemental composition of friction films, the tribological behavior and wear mechanism of sample materials as lubricant additives were investigated and the effects of shell thickness and sample concentration on the tribological properties of core–shell composite lubricant additives were discussed.

The findings demonstrate that each of the five sample materials can, to varying degrees, enhance the lubricating qualities of the base oil and that the core–shell nanocomposite sample lubricant additive has superior lubricating properties to those of ZnFe₂O₄ and MoS₂ alone, among them ZnFe₂O₄@MoS₂-2 core–shell composites with moderate shell thickness performed most ideally. In addition, the optimal concentration of the ZnFe₂O₄@MoS₂ lubricant additive was 0.5 Wt.%, and a concentration that was too high led to particle deposition and affected the friction effect.

In this work, ZnFe₂O₄@MoS₂ core–shell composites were synthesized for the first time using ZnFe₂O₄ as the carrier and the lubrication mechanism of core–shell composites and single materials were compared and studied, which illustrated the advantages of core–shell composite lubricant additives. At the same time, the influence of different shell thicknesses on the lubricant additives of core–shell composites was studied.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-12-2022-0367/

This paper applies a volume-price probability wave differential equation to propose a conceptual theory and has innovative behavioral interpretations of intraday dynamic market equilibrium price, in which traders' momentum, reversal and interactive behaviors play roles.

The authors select intraday cumulative trading volume distribution over price as revealed preferences. An equilibrium price is a price at which the corresponding cumulative trading volume achieves the maximum value. Based on the existence of the equilibrium in social finance, the authors propose a testable interacting traders' preference hypothesis without imposing the invariance criterion of rational choices. Interactively coherent preferences signify the choices subject to interactive invariance over price.

The authors find that interactive trading choices generate a constant frequency over price and intraday dynamic market equilibrium in a tug-of-war between momentum and reversal traders. The authors explain the market equilibrium through interactive, momentum and reversal traders. The intelligent interactive trading preferences are coherent and account for local dynamic market equilibrium, holistic dynamic market disequilibrium and the nonlinear and non-monotone V-shaped probability of selling over profit (BH curves).

The authors will understand investors' behaviors and dynamic markets through more empirical execution in the future, suggesting a unified theory available in social finance.

The authors can apply the subjects' intelligent behaviors to artificial intelligence (AI), deep learning and financial technology.

Understanding the behavior of interacting individuals or units will help social risk management beyond the frontiers of the financial market, such as governance in an organization, social violence in a country and COVID-19 pandemics worldwide.

It uncovers subjects' intelligent interactively trading behaviors.

This study aims to investigate the perception of smart tourism technologies (STTs) in creating museum tourism experiences and assess visitors’ intentions to test the impact, the extent and role that STTs play in museum service.

The investigation was conducted through an online and on-site survey; data were collected in four different museums with 365 museum tourists in four countries. SmartPLS (version 3.3.3) was used to access the measurement and structural model based on path modelling and bootstrapping.

STTs have a positive impact on creating a memorable tourism experience for museum visitors and are beneficial to revisit intention and positive recommendations. The impact is stronger than traditional services such as museum setting and staff service. STTs can be considered an independent new service to museums rather than complementing existing services. STTs negatively affect tourism’s experience at the communication stage.

Previous studies have noted the growing attention to the museum visitor experience, but the combined impact of new elements, such as STTs, remains an unexplored area. This study addressed the research gap through an empirical investigation and offers guidelines to test museum visitors’ acceptance and fitness for the services provided by STTs. In addition, this study presents a new point of view on the roles that STTs take in museum service, which can be useful for further investigations.

本研究旨在调查智慧旅游技术 (STT) 在创造博物馆旅游体验和评估游客意图方面的感知。测试智能旅游技术在博物馆服务中的影响、程度和作用。

研究调查是通过在线和现场问卷调查进行的; 数据是在四个国家的四个不同博物馆中收集的, 共收集了 365 名博物馆游客的数据。 SmartPLS（版本 3.3.3）用于访问基于路径建模和引导的测量模型和结构模型。

智慧旅游技术对为博物馆参观者创造难忘的旅游体验具有积极影响, 并有利于重访意向和积极推荐。这种影响比博物馆的环境设置和员工服务等传统服务更强。智慧旅游技术可以被视为对博物馆的一项独立的新服务, 而不是对现有服务的补充。智慧旅游技术对博物馆游客在传播阶段的体验产生负面影响。

以前的研究已经注意到学界对博物馆参观体验的关注日益增加, 但 STT 等新元素的综合影响仍然是一个未探索的领域。 本研究通过实证调查补充了研究缺口, 并提供了测试博物馆参观者对 STT 提供的服务的接受度和适应性的指南。此外, 本研究提出了 STT 在博物馆服务中的作用的新观点, 这对进一步的研究很有帮助。

Resumen

El objetivo de este estudio es investigar la percepción de las Tecnologías Turísticas Inteligentes (TTIs) en la creación de experiencias turísticas en los museos y evaluar las intenciones de los visitantes para probar el impacto, el alcance y el papel que desempeñan las TTIs en el servicio de los museos.

La investigación se llevó a cabo a través de una encuesta online y presencial; los datos se recogieron de 365 turistas en cuatro museos diferentes de cuatro países. Se utilizó SmartPLS (versión 3.3.3) para evaluar el modelo de medida y el modelo estructural basado en la modelización de trayectorias y el bootstrapping.

Las TTIs tienen un impacto positivo en la creación de una experiencia turística memorable para los visitantes de los museos y son beneficiosas para la intención de volver a visitarlos y las recomendaciones positivas. El impacto es mayor que el de los servicios tradicionales, como la ambientación del museo y el servicio del personal. Las TTIs pueden considerarse un nuevo servicio independiente para los museos, más que un complemento de los servicios existentes. Las TTIs afectan negativamente a la experiencia del turismo en la fase de comunicación.

En estudios previos se ha observado la creciente atención que se presta a la experiencia de los visitantes de los museos, pero el impacto combinado de nuevos elementos, como las TTIs, sigue siendo un área inexplorada. Este estudio aborda esta laguna de la investigación mediante una investigación empírica y ofrece directrices para comprobar la aceptación y la adecuación de los visitantes de los museos a los servicios prestados por las TTIs. Además, este estudio presenta un nuevo punto de vista sobre las funciones que asumen las TTIs en el servicio de los museos, que puede ser útil para futuras investigaciones.

This paper aims to find out the factors that influence the choice of dual innovation strategies in the process of knowledge pricing and transaction between first-mover and late-mover companies in an open innovation environment and also to find the key factors that affect the company's strategic choice in factors such as heterogeneous market environment, demand elasticity, exploration risk intellectual property prices and transaction cost.

This study uses the Cournot equilibrium and Stackelberg two-stage master-slave game model to describe the evolutionary process of knowledge pricing in an open innovation environment of first-mover and late-mover companies.

Research shows that in an open innovation environment, the formation of a dual innovation strategy in the pricing process of corporate intellectual property transactions is a complex process. Changes in one-time transaction costs and changes in the inverse demand coefficient of the innovation market play the decisive role in the choice of dual innovation strategies. When the demand of the innovation market is moderate, the inverse demand coefficient of the innovation market and the one-time transaction cost has an inverted U-shaped influence relationship. As the innovation market's inverse demand coefficient and the one-time transaction cost increase at the same time, the degree of differentiation of the enterprise's dual innovation strategy choice gradually reduces; when the one-time transaction cost is the largest, the degree of strategy differentiation is minimized.

Based on the above relationship, suggestions are made to guide enterprises in the knowledge pricing and transaction process in an open innovation environment, promote enterprises to form a dislocation development and complementary advantages in the knowledge innovation ecological chain and improve the overall innovation efficiency of the industry.

The purpose of this article is to prepare graphene/polyimide composite materials for use as bearing cage materials, improving the friction and wear performance of bearing cages.

The oil absorption and discharge tests were conducted to evaluate the oil content properties of the materials, while the mechanical properties were analyzed through cross-sectional morphology examination. Investigation into the tribological behavior and wear mechanisms encompassed characterization and analysis of wear trace morphology in PPI-based materials. Consequently, the influence of varied graphene nanoplatelets (GN) concentrations on the oil content, mechanical and tribological properties of PPI-based materials was elucidated.

The composites exhibit excellent oil-containing properties due to the increased porosity of PPI-GN composites. The robust formation of covalent bonds between GN and PPI amplifies the adhesive potency of the PPI-GN composites, thereby inducing a substantial enhancement in impact strength. Notably, the PPI-GN composites showed enhanced lubrication properties compared to PPI, which was particularly evident at a GN content of 0.5 Wt.%, as evidenced by the minimization of the average coefficient of friction and the width of the abrasion marks.

This paper includes implications for elucidating the wear mechanism of the polyimide composites under frictional wear conditions and then to guide the optimization of oil content and tribological properties of polyimide bearing cage materials.

In this paper, homogeneously dispersed PPI-GN composites were effectively synthesized by introducing GN into a polyimide matrix through in situ polymerization, and the lubrication mechanism of the PPI composites was compared with that of the PPI-GN composites to illustrate the composites’ superiority.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-12-2023-0415

Fear of missing out (FOMO) has become a common phenomenon on social media. This study aims to examine how FOMO influences consumer preferences for posting about identity-relevant products on social media.

In this research, three studies were conducted to explore the effects of FOMO in different real-life situations. Study 1 was conducted in a laboratory setting in China. Study 2 includes two experiments, one that was conducted in China and one in the USA. Study 3 was conducted in a workplace setting in China.

The results of Study 1 indicate that when consumers experience FOMO, they prefer to post about identity-relevant (vs functional) products to a greater extent than usual. Study 2 examines the role of self-esteem and identifies self-presentation and the avoidance of social attention as underlying mechanisms. Thus, consumers with high (or low) self-esteem tend to be more motivated to present themselves positively (or to avoid social attention) when experiencing FOMO. Furthermore, Study 3 reveals the moderating role of supportive interactions; that is, the interaction between FOMO and consumer self-esteem is most likely to exert an effect when consumers receive many supportive interactions.

This research demonstrates that posting identity-relevant content on social media is a coping strategy that individuals may adopt when experiencing FOMO. Moreover, self-esteem can predict how individuals cope with FOMO by identifying self-presentation and avoidance of social attention as the mechanisms underlying effects. Although this research attempts to avoid interference from other factors between in the relationship FOMO and the control conditions, it seems possible that more socially relevant information may be presented in the FOMO condition.

Because FOMO can be manipulated and posting types can be predicted, this research provides important implications for brands on how to create or post content to better engage consumers.

This research supports the role of FOMO as a driver of on consumer posting preferences on social media.

The COVID-19 pandemic has forced many instructors to rapidly shift to online/distance teaching. With a narrow preparation window, many instructors are at a loss of strategies that are both effective in responding to the crisis and compatible with their professional practices. One urgent need in classrooms at all levels is to support social reading of course materials. To fulfill this need, this paper aims to present a systematic literature review on using Web annotation in K-12 and higher education to provide practical and evidence-based recommendations for educators to incorporate social annotation in online teaching.

This paper presents a systematic literature review of the use of Web annotation in formal education. The authors reviewed 39 articles that met the inclusion criteria and extracted the following information from each article: level of education, subject area, learning theory, learning activity design, Web annotation technology, research methods and learning outcomes. Studies were further analyzed and synthesized by the genre of learning activity design.

The authors identified five types of social annotation activity design: processing domain-specific knowledge, supporting argumentation and inquiry, improving literacy skills, supporting instructor and peer assessment and connecting online learning spaces. In addition, the authors developed practical recommendations on setting pedagogical goals, selecting annotation tools, deciding instructor involvement and developing evaluation strategies.

This study provides a timely response to online/distance teaching under the COVID-19 pandemic. It is a hope that these identified application areas, in combination with four practical recommendations, would provide pragmatic and evidence-based support for educators to engage learners in reading, learning and connecting.

The primary purpose of this study is to examine the effects of destination familiarity on consumers’ evaluations (cognitive image) and feelings (affective image) about the destination, leading to their intention to visit.

The data for this study were collected through a Web-based survey. Based on a sample of 460 respondents, structural equation modeling was used to test the proposed hypotheses.

The results showed that familiarity with a destination not only influences consumers’ cognitive evaluations of the destination but also affects their feelings about it, which translates into their intentions in travelling to the destination. The findings indicate that destination familiarity can enhance consumers’ knowledge about the destination, but more importantly, their affective perceptions can lead to a higher likelihood of visiting a destination.

The findings provide useful guidance for efficient marketing programs to attract more visitors to a certain tourist destination. Destination marketers must assess the level of familiarity of potential travelers in the development, design and promotion of a destination. This understanding will enable the marketers to more effectively communicate with their target markets and allow them to tailor advertising to different segments of their customers based on their familiarity.

The majority of previous studies regarding destination familiarity tend to measure the overall familiarity or experiential familiarity (e.g. a comparison between visitors vs non-visitors) without considering consumers’ indirect familiarity with a destination. This study attempts to conceptualize and empirically test the role of destination familiarity on consumers’ cognitive and affective images and intentions.

本研究的主要目的是探讨消费者的目的地熟悉度对其对目的地的评价（认知形象）和感受（情感形象）的影响, 从而得出消费者的旅游意向。

本研究通过网络调查收集数据, 并以460名受访者为样本, 采用结构方程模型对所提假设进行检验。

结果表明, 消费者对目的地的熟悉程度不仅会影响消费者对目的地的认知评价, 还会影响他们对目的地的感受, 进而影响他们前往目的地的意愿。研究还发现, 目的地熟悉度可以增强消费者对目的地的认知；更重要的是, 他们的情感感知会使他们前往目的地的可能性有所提高。

研究结果可为开展高效的营销计划提供有益指导, 以吸引更多的游客到特定的旅游目的地。目的地营销人员必须评估潜在游客对目的地的开发、设计和推广方面的熟悉程度；在了解了这些之后, 营销人员方可更有效地与目标市场进行沟通, 并根据各个客户群体不同的熟悉程度对其投放定制化广告。

以往大多数关于目的地熟悉度的研究倾向于测量总体熟悉度或经验熟悉度(例如比较游客与非游客之间的差别), 而不考虑消费者对目的地的间接熟悉程度。本研究试图将目的地熟悉度对消费者认知、情感意象和旅游意向的影响概念化, 并加以实证检验。

El objetivo principal de este estudio es examinar los efectos de la familiaridad en las evaluaciones de los consumidores (imagen cognitiva) y sentimiento (imagen afectiva) sobre los destinos, y como influye en su intención para visitarlo.

Los datos de este estudio fueron obtenidos a través de una encuesta web. Apoyado en una muestra de 460 respuestas, se utilizo la modelización de ecuaciones estructurales para testear las hipótesis propuestas.

Los resultados muestran que la familiaridad con el destino no sólo influye en las evaluaciones cognitivas de los consumidores, sino también afecta a los sentimientos de estos, lo que se traslada a sus intenciones de viajar al destino turístico en cuestión. Los resultados indican que la familiaridad con el destino puede mejorar el conocimieto de los consumidores sobre éste, pero lo más importante, es la percepción afectiva, la cual puede liderar una mayor confianza para visitarlo.

Los resultados proveen una guía útil en la eficiencia de los programas de marketing para atraer más visitantes a un determinado destino. Los gestores de destinos deben evaluar el nivel de familiaridad de los potenciales viajeros en el desarrollo, diseño, y promoción de un destino. Entender estás cuestiones, hará a los gestores de destino más efectivos en su comunicación con sus mercados objetivos y les permitirá adaptar la publicidad a diferentes segmentos de clientes, en función de su familiaridad.

La mayoría de estudios previos, respecto a la familiaridad en los destinos, tienden a medir la familiaridad de forma global o experimental (por ejemplo, una comparación entre visitantes y no visitantes) sin considerar el efecto indirecto de la familiaridad con un destino. Este estudio sirve para conceptualizar y empíricamente testar, el papel de la familiaridad del destino en la imágenes e intenciones cognitivas y afectivas de los consumidores.