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The purpose of this paper is to explore the influential mechanism of consumer behaviour and identity towards Neo-Chinese fashion from the perspectives of cultural identity and emotional self-regulation mechanism.

Through empirical methods such as questionnaire surveys and regression analysis, nine hypotheses were proposed and tested based on 253 valid samples.

The results indicate that perceived value has a significant positive impact on pride emotion, anxiety emotion and cultural identity, respectively. Cultural pride (anxiety) emotion also has a significant positive (negative) impact on identity. The study also finds that anxiety emotion plays a significant mediating effect in the relationship between perceived value and cultural identity, which of country-of-origin plays a significant negative moderating role.

This paper reveals the psychological mechanisms and implementation paths through which fashion consumption and Neo-Chinese design drive cultural identity. It provides a theoretical basis for optimizing and innovating strategies to guide the evolution of Neo-Chinese cultural identity in the new context.

In recent decades, advancements in biosensors technology have made fluorescent biosensor pivotal for biomolecular recognition. This paper aims to provide an in-depth analysis of polymerase chain reaction (PCR) fluorescent biosensor detection technology for identifying Escherichia coli (E. coli), setting the stage for future developments in the field.

The review of literature on PCR fluorescent biosensor detection technology for E. coli over the past decades includes discussions on traditional biological fluorescent detection, quantitative PCR fluorescent detection and digital fluorescent detection technology.

Advancements in fluorescent biosensor technology enable precise measurement of fluorescent signals, and when integrated with microfluidic technology, produce compact, reagent-efficient digital sensor devices.

This paper provides a comprehensive review of recent fluorescent detection technology for pathogenic E. coli, assessing method efficiencies and offering insights to advance the field.

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 aims to realize the vertical interconnection in 3D radio frequency (RF) circuit by coaxial transitions with broad working bandwidth and small signal loss.

An advanced packaging method, 12-inch wafer-level through-mold-via (TMV) additive manufacturing, is used to fabricate a 3D resin-based coaxial transition with a continuous ground wall (named resin-coaxial transition). Designation and simulation are implemented to ensure the application universality and fabrication feasibility. The outer radius R of coaxial transition is optimized by designing and fabricating three samples.

The fabricated coaxial transition possesses an inner radius of 40 µm and a length of 200 µm. The optimized sample with an outer radius R of 155 µm exhibits S11 < –10 dB and S21 > –1.3 dB at 10–110 GHz and the smallest insertion loss (S21 = 0.83 dB at 77 GHz) among the samples. Moreover, the S21 of the samples increases at 58.4–90.1 GHz, indicating a broad and suitable working bandwidth.

The wafer-level TMV additive manufacturing method is applied to fabricate coaxial transitions for the first time. The fabricated resin-coaxial transitions show good performance up to the W-band. It may provide new strategies for novel designing and fabricating methods of RF transitions.

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.

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.

Research on corporate social responsibility (CSR) within the real estate sector is limited, and the precise workings of its impact are still unclear. Under the premise that real estate enterprises face environmental uncertainty in China, this study explored the impact of CSR on real estate enterprise value.

To investigate the impact of CSR on enterprise value, we studied 111 real estate enterprises with A-shares listed on Shanghai and Shenzhen stock exchanges from 2010 to 2020, and performed empirical tests to determine the moderating effect of environmental uncertainty on this relationship.

(1) The fulfillment of corporate social responsibility (CSR) significantly influences the value of real estate enterprises. A sub-dimensional analysis reveals that fulfilling stakeholder and social welfare responsibilities within CSR positively impacts enterprise value, whereas environmental responsibility does not exert a notable effect. (2) The uncertainty associated with environmental changes profoundly affects the relationship between CSR and the value of real estate enterprises. More precisely, as environmental uncertainty increases, it amplifies the beneficial impact of CSR on enterprise value.

These findings are valuable for real estate enterprises as they navigate the transition towards sustainable development, and they also provide insight for the government in formulating policies aimed at regulating the real estate sector.

This study complements the existing discussion and research on corporate social responsibility (CSR) and enterprise value in the real estate industry, while elucidating the underlying mechanism of how environmental uncertainty mediates the relationship between the two.

This paper aims to present a novel robotic system for airport pavement inspection tasks.

The cloud-edge-terminal-based distributed architecture is designed for the proposed robotic system. Then, the following three major parts are designed and deployed, respectively: Terminal: the wheeled-robot-based data collection system. Edge: remote monitoring and data analysis system. Cloud: shared database center of the inspection data and knowledge.

Validation and application results show that the proposed system satisfies the demands of automated airport pavement inspection tasks and saves the cost of manpower and time.

The proposed system provides a novel solution for the full process of airport pavement inspection. Compared with the traditional manual method, the robotic system can guarantee complete coverage and provide high-precision pavement inspection results with less time and labor costs.

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.