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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.

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.

Field-effect transistor (FET) has excellent electronic properties and inherent signal amplification, and with the development of nanomaterials technology, FET biosensors with nanomaterials as channels play an important role in the field of heavy metal ion detection. This paper aims to review the research progress of silicon nanowire, graphene and carbon nanotube field-effect tube biosensors for heavy metal ion detection, so as to provide technical support and practical experience for the application and promotion of FET.

The article introduces the structure and principle of three kinds of FET with three kinds of nanomaterials, namely, silicon nanowires, graphene and carbon nanotubes, as the channels, and lists examples of the detection of common heavy metal ions by the three kinds of FET sensors in recent years. The article focuses on the advantages and disadvantages of the three sensors, puts forward measures to improve the performance of the FET and looks forward to its future development direction.

Compared with conventional instrumental analytical methods, FETs prepared using nanomaterials as channels have the advantages of fast response speed, high sensitivity and good selectivity, among which the diversified processing methods of graphene, the multi-heavy metal ions detection of silicon nanowires and the very low detection limit and wider detection range of carbon nanotubes have made them one of the most promising detection tools in the field of heavy metal ions detection. Of course, through in-depth analysis, this type of sensor has certain limitations, such as high cost and strict process requirements, which are yet to be solved.

This paper elaborates on the detection principle and classification of field-effect tube, investigates and researches the application status of three kinds of FET biosensors in the detection of common heavy metal ions. By comparing the advantages and disadvantages of each of the three sensors in practical applications, the paper focuses on the feasibility of improvement measures, looks forward to the development trend in the field of heavy metal detection and ultimately promotes the application of field-effect tube development technology to continue to progress, so that its performance continues to improve and the application field is constantly expanding.

The purpose of this study is to investigate whether the corporate environmental, social and governance (ESG) performance of enterprise is influenced by the enterprise digital transformation. In addition, this study explains how enterprise digital transformation affects ESG performance.

The sample covers 4,646 nonfinancial companies listed on China’s A-share market from 2009 to 2021. The study adopts the fixed-effects multiple linear regression to perform the data analysis.

The study finds that enterprise digital transformation has a significant inverted U-shaped impact on ESG performance. Moderate digital transformation can improve enterprise ESG performance, whereas excessive digital transformation will bring new organizational conflicts and increase enterprise costs, which is detrimental to ESG performance. This inverted U-shaped effect is more pronounced in industrial cities, manufacturing industries and enterprises with less financing constraints and executives with financial backgrounds. Enterprise digital transformation mainly affects ESG performance by affecting the level of internal information communication and disclosure, the level of internal control and the principal-agent cost.

The government should take multiple measures to encourage enterprises to choose appropriate digital transformation based on their own production behaviors and development strategies, encourage them to innovate and upgrade their organizational management and development models in conjunction with digital transformation and guide them to use digital technology to improve ESG performance.

This study shows that irrational digital transformation cannot effectively improve the ESG performance of enterprises and promote the sustainable development of the country. Enterprises should carry out reasonable digital transformation according to their own development needs and finally improve the green and sustainable development ability of enterprises and promote the sustainable development of society.

This study examines the relationship between enterprise digital transformation and ESG performance. Different from the linear relationship between the two in previous major studies, this study proves the inverse U-shaped relationship between enterprise digital transformation and ESG performance through mathematical theoretical model derivation and empirical test. This study also explores in detail how corporate digital transformation affects ESG performance, as well as discusses heterogeneity at the city, industry and firm levels. It is proposed that enterprises should take into account their own characteristics and carry out reasonable digital transformation according to their development needs.

A W-band antennas-in-packages (AIP) module with a hybrid stacked glass-compound wafer level fan-out process was presented. Heterogeneous radio frequency (RF) chips were integrated into one single module with a microscale fan-out process. This paper aims to find a new strategy for 5G communication with 3D integration of multi-function chips.

The AIP module was composed of two stacked layers: the antenna layer and RF layer. After architecture design and performance simulation, the module was fabricated, The 8 × 8 antenna array was lithography patterned on the 12 inch glass wafer to reduce the parasitic parameters effect, and the signal feeding interface was fabricated on the backside of the glass substrate.

AIP module demonstrates a size of 180 mm × 180mm × 1mm, and its function covers the complete RF front-end chain from the antenna to signal to process and can be applied in 5 G communication and automotive components.

With three RF multi-function chips and two through silicon via (TSV) chips were embedded in the 12 inch compound wafer through the fan-out packaging process; two layers were interconnected with TSV and re-distributed layers.

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.

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.

As academic social Q&A networking websites become more popular, scholars are increasingly using them to meet their information needs by asking academic questions. However, compared with other types of social media, scholars are less active on these sites, resulting in a lower response quantity for some questions. This paper explores the factors that help explain how to ask questions that generate more responses and examines the impact of different disciplines on response quantity.

The study examines 1,968 questions in five disciplines on the academic social Q&A platform ResearchGate Q&A and explores how the linguistic characteristics of these questions affect the number of responses. It uses a range of methods to statistically analyze the relationship between these linguistic characteristics and the number of responses, and conducts comparisons between disciplines.

The findings indicate that some linguistic characteristics, such as sadness, positive emotion and second-person pronouns, have a positive effect on response quantity; conversely, a high level of function words and first-person pronouns has a negative effect. However, the impacts of these linguistic characteristics vary across disciplines.

This study provides support for academic social Q&A platforms to assist scholars in asking richer questions that are likely to generate more answers across disciplines, thereby promoting improved academic communication among scholars.

The purpose of this paper is to provide an overview of the evolution of service supply chain management from a behavioural operations perspective, pointing out future research directions for scholars.

This study searched five databases for relevant literature published between 2009 and 2018, selecting 64 papers for this review. The selected literature was categorised according to two dimensions: a service supply chain link perspective and a behavioural factor perspective. Comparative analysis was used to identify gaps in the literature, and five future research agendas were proposed.

In terms of the perspective of service supply chain link, extant literature primarily focuses on service supply and service co-ordination management, and less on service demand and integration management. In terms of the behavioural factor’s perspective, most focus on classic behaviour factors, with less attention paid to emerging behaviour factors. This paper thus proposes five research agendas: demand-oriented management and integrated supply chain-oriented behavioural research; broadening the understanding of the scope of behavioural operations; integrating the latest backgrounds and trends of service industry into the research; greater attention to behavioural operations in service sub-industries; and multimethod combination is encouraged to be used to dig into the interesting research problems.

This study constitutes the first systematic review of service supply chain research from a behavioural perspective. By categorising the literature into two dimensions, the state of existing research is evaluated with an eye towards future research avenues.