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Article
Publication date: 10 April 2024

Ji Shi, Minwoo Lee, V.G. Girish, Guangyu Xiao and Choong-Ki Lee

This study aims to investigate tourists attitudes and intentions regarding the usage of Chat Generative Pre-trained Transformer (ChatGPT) for accessing tourism information…

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Abstract

Purpose

This study aims to investigate tourists attitudes and intentions regarding the usage of Chat Generative Pre-trained Transformer (ChatGPT) for accessing tourism information. Furthermore, by integrating the perceived risks associated with ChatGPT and the theory of planned behavior (TPB), this research examines the impact of three types of perceived risks, such as privacy risk, accuracy risk and overreliance risk, on tourists behavioral intention.

Design/methodology/approach

Data were gathered for this study by using two online survey platforms, thus resulting in a sample of 536 respondents. The online survey questionnaire assessed tourists perceived risks, attitude, subjective norm, perceived behavioral control, behavioral intention and demographic information related to their usage of ChatGPT.

Findings

The structural equation modeling analysis revealed that tourists express concerns about the associated risks of using ChatGPT to search for tourism information, specifically privacy risk, accuracy risk and overreliance risk. It was found that perceived risks significantly influence tourists attitude and intention toward the usage of ChatGPT, which is consistent with the hypotheses proposed in previous literature regarding tourists perceived risks of ChatGPT.

Research limitations/implications

This work is a preliminary empirical study that assesses tourists behavioral intention toward the use of ChatGPT in the field of tourism. Previous research has remained at the hypothetical level, speculating about the impact of ChatGPT on the tourism industry. This study investigates the behavioral intention of tourists who have used ChatGPT to search for travel information. Furthermore, this study provides evidence based on the outcome of this research and offers theoretical foundations for the sustainable development of generative AI in the tourism domain. This study has limitations in that it primarily focused on exploring the risks associated with ChatGPT and did not extensively investigate its range of benefits.

Practical implications

First, to address privacy concerns that pose significant challenges for chatbots various measures, such as data encryption, secure storage and obtaining user consent, are crucial. Second, despite concerns and uncertainties, the introduction of ChatGPT holds promising prospects for the tourism industry. By offering personalized recommendations and enhancing operational efficiency, ChatGPT has the potential to revolutionize travel experiences. Finally, recognizing the potential of ChatGPT in enhancing customer service and operational efficiency is crucial for tourism enterprises.

Social implications

Recognizing the potential of ChatGPT in enhancing customer service and operational efficiency is crucial for tourism enterprises. As their interest in adopting ChatGPT grows, increased investments and resources will be dedicated to developing and implementing ChatGPT solutions. This enhancement may involve creating customized ChatGPT solutions and actively engaging in training and development programs to empower employees in effectively using ChatGPTs capabilities. Such initiatives can contribute to improved customer service and overall operations within the tourism industry.

Originality/value

This study integrates TPB with perceived risks in ChatGPT, thus providing empirical evidence. It highlights the importance of considering perceived risks in tourists intentions and contributes to the sustainable development of generative AI in tourism. As such, it provides valuable insights for practitioners and policymakers.

研究目的

本研究旨在调查游客对使用ChatGPT获取旅游信息的态度和意向。此外, 通过将与ChatGPT相关的感知风险与计划行为理论(TPB)相结合, 本研究探讨了三种感知风险(隐私风险、准确性风险和过度依赖风险)对游客行为意向的影响。

研究方法

本研究通过两个在线调查平台收集了536名受访者的数据。在线调查问卷评估了游客对ChatGPT使用的感知风险、态度、主观规范、感知行为控制、行为意向以及与其使用ChatGPT相关的人口统计信息。

研究发现

结构方程建模分析显示, 游客对使用ChatGPT搜索旅游信息的相关风险表示关切, 特别是隐私风险、准确性风险和过度依赖风险。发现感知风险显著影响游客对使用ChatGPT的态度和意向, 与先前有关游客对ChatGPT感知风险的文献中提出的假设一致。

研究创新

本研究将TPB与ChatGPT中的感知风险相结合, 提供了实证证据。它强调了在考虑游客意向时考虑感知风险的重要性, 并为旅游中生成AI的可持续发展提供了贡献。因此, 它为从业者和政策制定者提供了宝贵的见解。

Details

Journal of Hospitality and Tourism Technology, vol. 15 no. 3
Type: Research Article
ISSN: 1757-9880

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Article
Publication date: 13 April 2022

Zheng Joseph Yan, Jin Luo and Ziran Chen

This study aims to examine an important mechanism in the policy-led institutional transitions in China, namely, Te Shi Te Ban (Special Treatments for Special Matters) – an…

181

Abstract

Purpose

This study aims to examine an important mechanism in the policy-led institutional transitions in China, namely, Te Shi Te Ban (Special Treatments for Special Matters) – an institutional device that facilitates policy implementation. The discussions are contextualized based on the latest chapter of China’s institutional transition, known as the reform initiative of Fang Guan Fu (i.e. the FGF reform: delegate power, streamline administration and optimize government services), which is a policy regime introduced in 2018 to improve the state-market relationship for better socioeconomic development.

Design/methodology/approach

Based on the theoretical lens of proto-institutions and institutional work and using real-life examples from mass media, this perspective paper examines the effects of the Special Treatments in the institutional transition under the FGF Reform.

Findings

The Special Treatments are the proto-institutions purposively adopted by the regulators in China to innovate, supervise and renovate the rules and norms during policy implementation. They produce both incremental and radical institutional effects which allow for a more efficient and effective policy-led institutional transition.

Originality/value

This study contributes to institutional theory in the Chinese management context. Foremost, this study introduces the concept of proto-institutional work and shows how proto-institutions can serve as a mechanism to support and manage the process of institutional transition. In addition, to the best of the authors’ knowledge, this paper is the first to study the FGF Reform – the latest reform initiative in China and theorize an under-researched but important mechanism in its institutional environment – the Special Treatments for Special Matters.

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Chinese Management Studies, vol. 17 no. 2
Type: Research Article
ISSN: 1750-614X

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Article
Publication date: 21 March 2016

Xiao-Hua He, Hui-Ji Shi and Mark Norfolk

The purpose of this paper is to investigate the influence of key parameters on the bond strength and failure modes of laminated structures made of different aluminum alloys (i.e…

271

Abstract

Purpose

The purpose of this paper is to investigate the influence of key parameters on the bond strength and failure modes of laminated structures made of different aluminum alloys (i.e. Al 2024 and Al 7075) via the ultrasonic consolidation (UC) process.

Design/methodology/approach

The UC is used to fabricate laminated structures with various parameters. The push-pin tests were performed on the specimens of different materials and parameters, and the force and displacement were recorded during the tests. The peak punch force was used to represent the bond quality of the laminated structure, and the curves of force versus displacement were used to study the failure modes of the structures.

Findings

It is found that the lower normal force, the larger vibration amplitude and the lower travel speed can result in stronger bonding. Three different failure modes are observed in the tests, due to the different relations between the toughness of interface and raw materials. The process parameters have influence on the interface toughness of a laminated structure, which further leads to different failure modes.

Originality/value

The overall mechanical properties of a laminated structure highly depend on the bond quality between laminated layers. The push-pin test can easily and effectively evaluate the bond quality of the laminated structure. This paper not only focuses on the bond strength evaluation, but also analyzes the different failure modes of laminated structures made of different aluminum alloys, which can give an opportunity to optimize the parameters for different materials.

Details

Rapid Prototyping Journal, vol. 22 no. 2
Type: Research Article
ISSN: 1355-2546

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Book part
Publication date: 6 December 2023

Komal Akram Khan

Industrial Revolution 4.0 (IR 4.0) has caused revolutionary changes in various industries of South Asia, including financial services. Financial inclusion has been recognized as…

Abstract

Industrial Revolution 4.0 (IR 4.0) has caused revolutionary changes in various industries of South Asia, including financial services. Financial inclusion has been recognized as an important driver of economic growth. The combination of financial inclusion and the industrial revolution offers exceptional opportunities for business. The present chapter delves into the significance of financial inclusion within the framework of IR 4.0 in Asia and its potential to stimulate growth, innovation, and societal influence. It includes the discourse regarding challenges and opportunities for business in a new era of financial inclusion and the industrial revolution. Based on a thorough discussion, we give practical insights and best practices for businesses aiming to maximize the opportunities offered by financial inclusion in the era of IR 4.0. This chapter provides an in-depth understanding of Asia’s expanding financial inclusion landscape and empowers companies with the information and tools needed to prosper in this dynamic market.

Details

Financial Inclusion Across Asia: Bringing Opportunities for Businesses
Type: Book
ISBN: 978-1-83753-305-3

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Article
Publication date: 1 December 2011

Jia Beisi and Jiang Yingying

Although an important facet of modernist architecture in which function plays a prominent role, building flexibility is not entirely a new concept. Its relevance transcends…

65

Abstract

Although an important facet of modernist architecture in which function plays a prominent role, building flexibility is not entirely a new concept. Its relevance transcends generations, allowing space and structure to evolve through time. This paper investigates the relationship among main building structures, infill elements, and space by studying examples in ancient Chinese architecture. It reveals the role of building owners, users, and craftsmen from a survey of historical documentation. In studying these examples, it is concluded that craftsmen in ancient China were involved not only during the construction phase but throughout the period of use as well. Thus, in select cases, the relationship between craftsmen and owners or users had been preserved for generations. Finally, this paper suggests potential strategies for the building industry and technology in the move towards sustainable development.

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Open House International, vol. 36 no. 4
Type: Research Article
ISSN: 0168-2601

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Article
Publication date: 4 November 2024

Jiaqi Fang, Kun Ma, Yanfang Qiu, Ke Ji, Zhenxiang Chen and Bo Yang

The discrepancy between the content of an article and its title is a key characteristic of fake news. Current methods for detecting fake news often ignore the significant…

19

Abstract

Purpose

The discrepancy between the content of an article and its title is a key characteristic of fake news. Current methods for detecting fake news often ignore the significant difference in length between the content and its title. In addition, relying solely on textual discrepancies between the title and content to distinguish between real and fake news has proven ineffective. The purpose of this paper is to develop a new approach called semantic enhancement network with content–title discrepancy (SEN–CTD), which enhances the accuracy of fake news detection.

Design/methodology/approach

The SEN–CTD framework is composed of two primary modules: the SEN and the content–title comparison network (CTCN). The SEN is designed to enrich the representation of news titles by integrating external information and position information to capture the context. Meanwhile, the CTCN focuses on assessing the consistency between the content of news articles and their corresponding titles examining both emotional tones and semantic attributes.

Findings

The SEN–CTD model performs well on the GossipCop, PolitiFact and RealNews data sets, achieving accuracies of 80.28%, 86.88% and 84.96%, respectively. These results highlight its effectiveness in accurately detecting fake news across different types of content.

Originality/value

The SEN is specifically designed to improve the representation of extremely short texts, enhancing the depth and accuracy of analyses for brief content. The CTCN is tailored to examine the consistency between news titles and their corresponding content, ensuring a thorough comparative evaluation of both emotional and semantic discrepancies.

Details

International Journal of Web Information Systems, vol. 20 no. 6
Type: Research Article
ISSN: 1744-0084

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Article
Publication date: 30 April 2024

Jinsong Zhang, Xinlong Wang, Chen Yang, Mingkang Sun and Zhenwei Huang

This study aims to investigate the noise-inducing characteristics during the start-up process of a mixed-flow pump and the impact of different start-up schemes on pump noise.

77

Abstract

Purpose

This study aims to investigate the noise-inducing characteristics during the start-up process of a mixed-flow pump and the impact of different start-up schemes on pump noise.

Design/methodology/approach

This study conducted numerical simulations on the mixed-flow pump under different start-up schemes and investigated the flow characteristics and noise distribution under these schemes.

Findings

The results reveal that the dipole noise is mainly caused by pressure fluctuations, while the quadrupole noise is mainly generated by the generation, development and breakdown of vortices. Additionally, the noise evolution characteristics during the start-up process of the mixed-flow pump can be divided into the initial stage, stable growth stage, impulse stage and stable operation stage.

Originality/value

The findings of this study can provide a theoretical basis for the selection of start-up schemes for mixed-flow pumps, reducing flow noise and improving the operational stability of mixed-flow pumps.

Details

Engineering Computations, vol. 41 no. 3
Type: Research Article
ISSN: 0264-4401

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Book part
Publication date: 16 September 2014

Mian Wang and Yajing Feng

Special education in China has lagged behind regular education for many years, however, the past few decades, the government has made considerable efforts to develop and improve…

Abstract

Special education in China has lagged behind regular education for many years, however, the past few decades, the government has made considerable efforts to develop and improve the special education system. While the citizens of China have had a generic moral interest in disability since ancient times, the development of special education schools did not occur until American and European missionaries started schools for the visually and hearing impaired in the 19th century. The next major influence in the development of the special education system occurred with China’s Cultural Revolution in 1978. Interestingly, there is not any exclusive legislation on special education but in the 1980s, the government started Learning in Regular Classrooms (LRC), which is China’s version of inclusion. LRC has progressed rapidly the past two decades; however, the quality of instruction is low due to a lack of specialists, a shortage of personnel, inadequate funding, and limited technology as well as other barriers that are delineated in the chapter. The chapter emphasizes the government’s recent efforts in in-service teacher training, the preparation of preservice teachers, working with families, developing community rehabilitation training programs, and implementing evidence-based practices. Special education in China today is at a good place but it has quite a way from the ideal situation.

Details

Special Education International Perspectives: Practices Across the Globe
Type: Book
ISBN: 978-1-78441-096-4

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Article
Publication date: 3 April 2018

Wei Li, Yang Zhang, Weidong Shi, Leilei Ji, Yongfei Yang and Yuanfeng Ping

This paper aims to study the transient flow characteristics in a mixed-flow pump during the start-up period.

291

Abstract

Purpose

This paper aims to study the transient flow characteristics in a mixed-flow pump during the start-up period.

Design/methodology/approach

In this study, numerical calculation of the internal flow field in a mixed-flow pump using the sliding mesh method was carried out. The regulation of the pressure, streamline and the relative speed during the start-up period was analyzed.

Findings

The trend of the simulated head is consistent with the experimental results, and the calculated head is around 0.3 m higher than the experimental head when the rotation speed reached the stable stage, indicating that the numerical method for the start-up process simulation of the mixed-flow pump has a high accuracy. At the beginning, the velocity inside the impeller changes little along the radius direction and the flow rate increases slowly during the start-up process. As the rotation speed reached the stable stage, the flow inside the impeller became steady, the vortex reduced and transient effects disappeared gradually.

Originality/value

The study results have significant value for revealing the internal unsteady flow characteristics of the mixed-flow pump and providing the reference for the design optimization of the mixed-flow pump.

Details

International Journal of Numerical Methods for Heat & Fluid Flow, vol. 28 no. 4
Type: Research Article
ISSN: 0961-5539

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Article
Publication date: 20 September 2023

Hei-Chia Wang, Army Justitia and Ching-Wen Wang

The explosion of data due to the sophistication of information and communication technology makes it simple for prospective tourists to learn about previous hotel guests'…

150

Abstract

Purpose

The explosion of data due to the sophistication of information and communication technology makes it simple for prospective tourists to learn about previous hotel guests' experiences. They prioritize the rating score when selecting a hotel. However, rating scores are less reliable for suggesting a personalized preference for each aspect, especially when they are in a limited number. This study aims to recommend ratings and personalized preference hotels using cross-domain and aspect-based features.

Design/methodology/approach

We propose an aspect-based cross-domain personalized recommendation (AsCDPR), a novel framework for rating prediction and personalized customer preference recommendations. We incorporate a cross-domain personalized approach and aspect-based features of items from the review text. We extracted aspect-based feature vectors from two domains using bidirectional long short-term memory and then mapped them by a multilayer perceptron (MLP). The cross-domain recommendation module trains MLP to analyze sentiment and predict item ratings and the polarities of the aspect based on user preferences.

Findings

Expanded by its synonyms, aspect-based features significantly improve the performance of sentiment analysis on accuracy and the F1-score matrix. With relatively low mean absolute error and root mean square error values, AsCDPR outperforms matrix factorization, collaborative matrix factorization, EMCDPR and Personalized transfer of user preferences for cross-domain recommendation. These values are 1.3657 and 1.6682, respectively.

Research limitation/implications

This study assists users in recommending hotels based on their priority preferences. Users do not need to read other people's reviews to capture the key aspects of items. This model could enhance system reliability in the hospitality industry by providing personalized recommendations.

Originality/value

This study introduces a new approach that embeds aspect-based features of items in a cross-domain personalized recommendation. AsCDPR predicts ratings and provides recommendations based on priority aspects of each user's preferences.

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