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Enhancing Multimodal Tourism Review Sentiment Analysis Through Advanced Feature Association Techniques 通过高级特征关联技术加强多模态旅游评论情感分析
IF 0.6 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2024-07-17 DOI: 10.4018/ijisss.349564
Peng Chen, Lingmei Fu
The development of tourism services presents significant opportunities for extracting and analyzing customer sentiment. However, with the advent of multimodality, travel reviews have brought new challenges. Early methods for detecting such reviews merely combined text and image features, resulting in poor feature correlation. To address this issue, our study proposes a novel multimodal tourism review sentiment analysis method enhanced by relevant features. Initially, we employ a fusion model that combines BERT and Text-CNN for text feature extraction. This approach strengthens semantic relationships and filters noise effectively. Subsequently, we utilize ResNet-51 for image feature extraction, leveraging its ability to learn complex visual representations. Additionally, integrating an attention mechanism further enhances modality correlation, thereby improving fusion effectiveness. On the Multi-ZOL dataset, our method achieves an accuracy of 90.7% and an F1 score of 90.8%. Similarly, on the Ctrip dataset, it attains an accuracy of 83.6% and an F1 score of 84.1%.
旅游服务的发展为提取和分析客户情感提供了重要机遇。然而,随着多模态技术的出现,旅游评论也带来了新的挑战。早期用于检测此类评论的方法仅仅结合了文本和图像特征,导致特征相关性较差。为了解决这个问题,我们的研究提出了一种新颖的多模态旅游评论情感分析方法,并通过相关特征进行了增强。首先,我们采用了一种融合模型,结合 BERT 和 Text-CNN 进行文本特征提取。这种方法加强了语义关系并有效过滤了噪音。随后,我们利用 ResNet-51 进行图像特征提取,充分利用其学习复杂视觉表征的能力。此外,整合注意力机制进一步增强了模态相关性,从而提高了融合效果。在 Multi-ZOL 数据集上,我们的方法达到了 90.7% 的准确率和 90.8% 的 F1 分数。同样,在携程数据集上,我们的方法达到了 83.6% 的准确率和 84.1% 的 F1 分数。
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引用次数: 0
Long-Term-Oriented Cultural Value 长期导向的文化价值
IF 0.6 Q3 Decision Sciences Pub Date : 2022-04-01 DOI: 10.4018/ijisss.313380
Yuanyuan Guo
Based on the long-term-oriented cultural value in Hofstede's cultural model, this study established a model of influencing factors of citizens' continuous use of digital government services. Through the multi-group analysis of the structural equation model, this paper finds that the concept of long-term development affects the continuous use of digital government services by Korean citizens. The government must pay attention to citizens' continuous use of digital government, establish citizens' long-term development concept, and provide citizens with fair and sustainable digital government services so as to realize the sustainable development of digital government. In addition, the Korean government should also pay attention to the aging construction of digital government and the education of teenagers' network information literacy so as to lay a good foundation for the sustainable development of digital government.
基于霍夫斯泰德文化模型中长期导向的文化价值,本研究建立了公民持续使用数字政府服务的影响因素模型。通过对结构方程模型的多组分析,本文发现长期发展的概念影响着韩国公民对数字政府服务的持续使用。政府必须关注公民对数字政府的持续使用,树立公民的长远发展观,为公民提供公平、可持续的数字政府服务,以实现数字政府的可持续发展。此外,韩国政府还应重视数字政府的老龄化建设和青少年网络信息素养教育,为数字政府的可持续发展奠定良好基础。
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引用次数: 0
Factors Driving the Purchase of Mobile-Phone Top-Ups Services on Social Commerce Based on a Modified UTAUT Theory 基于改进UTAUT理论的社会商务中手机充值服务购买的驱动因素
IF 0.6 Q3 Decision Sciences Pub Date : 2022-01-01 DOI: 10.4018/ijisss.302884
This study explored the factors influencing the behavioral intention of Chinese citizens to purchase mobile-phone top-up services on social commerce from the perspective of WeChat users. The UTAUT was applied as the theoretical framework for the research. A questionnaire instrument was used to acquire the research data from 477 respondents. The data analysis was undertaken by the use of Smart PLS by employing the structural equation modeling (SEM) technique. The results indicate that performance expectancy had a direct significant impact on the purchase of mobile phone top-ups on social commerce. In addition, effort expectancy, electronic word of mouth (eWOM), peer influence, and trust in mobile phone top-up services were respectively positive predictors of both performance expectancy and purchase intentions of mobile phone top-up services on social commerce. Further, the results demonstrate that security was significant in moderating the impact of trust in mobile phone top-up services on the purchase of mobile phone top-up services on social commerce.
本研究从微信用户的角度探讨了影响中国公民在社交商务上购买手机充值服务行为意向的因素。UTAUT被用作研究的理论框架。使用问卷调查工具从477名受访者那里获得了研究数据。数据分析采用结构方程建模(SEM)技术,使用Smart PLS进行。结果表明,性能预期对社交商务上购买手机充值有直接的显著影响。此外,努力预期、电子口碑(eWOM)、同伴影响和对手机充值服务的信任分别是社交商务上手机充值服务绩效预期和购买意愿的正预测因素。此外,研究结果表明,安全性在调节对手机充值服务的信任对购买手机充值服务对社交商务的影响方面具有重要意义。
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引用次数: 4
The Risks Of Construction PPP Projects in Palestine 巴勒斯坦建设PPP项目的风险
IF 0.6 Q3 Decision Sciences Pub Date : 2022-01-01 DOI: 10.4018/ijisss.296276
Many developing nations, such as Palestine, implemented PPP (public-private partnership) to fulfill the increasing needs for public services and facilities. Nonetheless, PPP projects have numerous risks which influence each other and can cause project failures. Unfortunately, current studies related to the PPP risk association have not provided adequate details. This paper tries to fill the literature gap by proposing a practical approach in analyzing the relationship among PPP risks. First, the research identifies risk for PPP projects in the Palestinian construction industry by integrating the interviews and literature review. Next, this study reflects the associations among the risks and reveals the failure instruments of PPP projects using FISM (fuzzy interpretative structural modeling). Besides, this paper uses MICMAC (matrix impact cross-reference multiplication applied to a classification) and FISM method to discover and finalized the 19 crucial risk elements. The MICMAC-FISM approach reckons the fuzzy of the PPP risk association and enhances upon previously published works.
巴勒斯坦等许多发展中国家实施了PPP(公私伙伴关系),以满足日益增长的公共服务和设施需求。尽管如此,PPP项目存在许多相互影响的风险,可能导致项目失败。不幸的是,目前与购买力平价风险关联相关的研究没有提供足够的细节。本文试图通过提出一种分析PPP风险之间关系的实用方法来填补文献空白。首先,本研究通过整合访谈和文献综述,确定了巴勒斯坦建筑业PPP项目的风险。接下来,本研究使用FISM(模糊解释结构模型)来反映风险之间的关联,并揭示PPP项目的失败工具。此外,本文还使用MICMAC(应用于分类的矩阵影响交叉参考乘法)和FISM方法来发现并最终确定19个关键风险因素。MICMAC-FISM方法估计了PPP风险关联的模糊性,并在先前发表的工作基础上进行了改进。
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引用次数: 1
The Effects Of Governmental Factors On Sustainable Technology Implementation Among Small And Medium Enterprises In Tonga 政府因素对汤加中小企业可持续技术实施的影响
IF 0.6 Q3 Decision Sciences Pub Date : 2022-01-01 DOI: 10.4018/ijisss.302881
This study intends to examine the effects of governmental factors on sustainable technology implementation (STI) among SMEs in the Kingdom of Tonga. These factors are crucial to investigate because many private institutions working for emerging markets have limited resources that delay implementing technologies, particularly sustainability-based technologies integrated with enterprise management. On the other hand, governments have the resources and power to affect STI significantly. Hence, the research investigates the role of government as an influential determinant in attaining efficient and effective implementation. This study uses the SEM-PLS and fsQCA methods to analyze the data gathered from 251 SMEs in Tonga. The findings show that government subsidies and policies significantly and positively affect firms' morals and attitudes regarding STI in Tonga. Also, perceived benefit and perceived cost significantly affect STI in Tongan SMEs. The research is an initial effort to examine such effects in the SMEs of a Pacific Island country.
本研究旨在探讨政府因素对汤加王国中小企业可持续技术实施(STI)的影响。这些因素对于调查是至关重要的,因为许多为新兴市场工作的私营机构资源有限,推迟了技术的实施,特别是与企业管理相结合的基于可持续性的技术。另一方面,政府有资源和权力对STI产生重大影响。因此,本研究调查了政府在实现高效和有效实施方面作为一个有影响力的决定因素的作用。本研究采用SEM-PLS和fsQCA方法对汤加251家中小企业的数据进行分析。研究结果表明,政府补贴和政策显著和积极地影响了汤加企业在STI方面的道德和态度。感知效益和感知成本对汤加中小企业的科技创新也有显著影响。这项研究是检验这种影响在一个太平洋岛国中小企业中的初步努力。
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引用次数: 1
A Study on Factors Affecting the User Experience of Metaverse Service 影响虚拟服务用户体验的因素研究
IF 0.6 Q3 Decision Sciences Pub Date : 2022-01-01 DOI: 10.4018/ijisss.313379
Youngkeun Choi
This study focuses on how metabus engages users and encourages them to purchase. By proposing the concepts of immersion as different ways to provide deep and meaningful user engagement, this study develops a model that explores the motivation factors of immersion and its role in explaining a user to use metabus. This study surveys 352 users using metabus in Korea and analyzes the data using AMOS 24. First, enjoyment, facilitating conditions, and self-efficacy increase users' immersion. Second, users' immersion increases their continuous use intention. Third, facilitating conditions and self-efficacy among the motivation factors of immersion increase users' continuous use intention through their immersion. Finally, affect intensity moderates the relationship between motivation factors and immersion. The findings contribute to research on metabus by paying scholarly attention to meaningful engagement characterized by immersion.
本研究的重点是metabus如何吸引用户并鼓励他们购买。通过提出沉浸的概念作为提供深度和有意义的用户参与的不同方式,本研究开发了一个模型,探索沉浸的动机因素及其在解释用户使用转换中的作用。本次研究调查了国内352名使用metabus的用户,并使用AMOS 24对数据进行了分析。第一,享受、便利条件和自我效能感增加了用户的沉浸感。第二,用户的沉浸感增加了他们的持续使用意愿。第三,沉浸的动机因素中的便利条件和自我效能感通过沉浸增加了用户的持续使用意愿。最后,情感强度调节动机因素与沉浸感之间的关系。该研究结果通过关注以沉浸为特征的有意义的参与,为metabre研究做出了贡献。
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引用次数: 1
Topic Modeling and Sentiment Analysis of Yelp Restaurant Reviews Yelp餐厅评论的主题建模与情感分析
IF 0.6 Q3 Decision Sciences Pub Date : 2022-01-01 DOI: 10.4018/ijisss.295872
The use of online consumer reviews (OCRs) websites like Yelp or TripAdvisor has increasingly gained popularity over the years. However, many products or services now have a large number of online reviews, which makes it difficult for consumers to decide which reviews to pay attention to, or for businesses to identify which critical areas to improve on. The use of text mining and sentiment mining techniques is deemed important to automatically process the content of online reviews and help improve review usefulness. Applying a four-phase research model, our study demonstrated data extraction and cleaning, topic modeling using Latent Dirichlet allocation (LDA) to extract five topics (Price, Time, Food, Service, and Location), sentiment analysis using Python TextBlob to aggregate consumer sentiment per topic from a Yelp restaurant reviews dataset, and model performance evaluation. We proposed that the design of recommender systems for OCRs or business decision-making systems can be faster, simpler, and more useful by integrating automatic topics extraction and sentiment analysis.
多年来,Yelp或TripAdvisor等在线消费者评论网站的使用越来越受欢迎。然而,现在许多产品或服务都有大量的在线评论,这使得消费者很难决定关注哪些评论,或者企业很难确定哪些关键领域需要改进。文本挖掘和情感挖掘技术的使用被认为对于自动处理在线评论的内容并帮助提高评论的有用性很重要。应用四阶段研究模型,我们的研究展示了数据提取和清理,使用Latent Dirichlet分配(LDA)提取五个主题(价格、时间、食品、服务和位置)的主题建模,使用Python TextBlob从Yelp餐厅评论数据集中聚合每个主题的消费者情绪的情绪分析,以及模型性能评估。我们提出,通过集成自动主题提取和情感分析,OCR或商业决策系统的推荐系统的设计可以更快、更简单、更有用。
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引用次数: 3
A continuous dispatch decision model for sustainable IT service assignments 可持续IT服务分配的连续调度决策模型
IF 0.6 Q3 Decision Sciences Pub Date : 2022-01-01 DOI: 10.4018/ijisss.295870
Information technology (IT) services are indispensable in the enterprises' sustainability program nowadays. For the outsourcing of IT services, many companies use the contract service model and set up a project to implement timely IT requests which constantly arrive at different IT sites. The demand for outsourced IT services and related workforce coordination is a permanent decisional process, yet existing studies mainly focus on the one-time assignment or the centralized service model. Hence, this paper bases on the multi-period and multi-service allocation requirement to develop a sustainable assignment model. The model handles continuous service requests and decentralized worker assignments to optimize overall costs under the fixed-price contract type of IT service. A real industrial service case is reported to illustrate the model. A comparative review with related works is also provided to discuss the contributions of the model and to outline its future research and development.
信息技术(IT)服务是当今企业可持续发展计划中不可或缺的一部分。对于IT服务的外包,许多公司使用合同服务模式并建立一个项目来及时执行IT请求,这些请求不断到达不同的IT站点。外包IT服务和相关劳动力协调的需求是一个永久的决策过程,但现有的研究主要集中在一次性分配或集中服务模式上。因此,本文基于多时段、多服务的分配需求,建立了一个可持续的分配模型。该模型处理连续的服务请求和分散的员工分配,以优化固定价格合同类型的IT服务的总体成本。通过一个实际的工业服务案例来说明该模型。还提供了与相关工作的比较综述,以讨论该模型的贡献,并概述其未来的研究和发展。
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引用次数: 0
Evaluating Factors for Successful Technological Implementation in Indian Banking Industry using DEMATEL 使用DEMATEL评估印度银行业技术实施成功的因素
IF 0.6 Q3 Decision Sciences Pub Date : 2022-01-01 DOI: 10.4018/ijisss.302880
The banking system is a crucial constituent of the financial ecosystem. Over the last two decades, there is a continuous movement in the banking industry from physical banking towards digital banking. The banks have started recognising that adopting new technologies is essential to remain competitive. Yet, the process of digital transformation is slow. The paper aims to identify and analyse the factors for successful technological implementation in the Indian Banking Industry. Further, this research seeks to establish a cause-effect relationship among them using the DEMATEL approach. For the purpose of the study, twelve factors were identified that are contributing towards successful implementation of technology using literature reviews and opinion of an expert. The study highlighted the crucial component for the successful technological implementation in the Indian Banking Sector are: regulations, government support, bank size, top management support.
银行体系是金融生态系统的重要组成部分。在过去的二十年里,银行业不断从实体银行转向数字银行。银行已开始认识到,采用新技术对于保持竞争力至关重要。然而,数字化转型的进程是缓慢的。本文旨在识别和分析印度银行业成功实施技术的因素。此外,本研究试图利用DEMATEL方法建立两者之间的因果关系。为了研究的目的,确定了12个因素,这些因素有助于利用文献综述和专家的意见成功实施技术。该研究强调了在印度银行业成功实施技术的关键因素是:法规、政府支持、银行规模、高层管理支持。
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引用次数: 0
Travellers' Intentions to Use Facial Recognition Systems for Authentication in Hotels 旅客在酒店使用面部识别系统进行身份验证的意向
IF 0.6 Q3 Decision Sciences Pub Date : 2022-01-01 DOI: 10.4018/ijisss.2022010104
Hung-Fu Huang, Ching-Chang Lee
With the rapid development of this technology, facial recognition systems have become widely adopted in recent years. The application of the facial recognition systems by the hotel industry has resulted in a novel service model, as well as in high expectations. These systems can be used to improve conventional services and can also enhance hotel security. Based on theory, this paper employs a technology acceptance model to gain a deeper understanding of how travelers' intention to use facial recognition systems for authentication is formed. This paper employed the survey method and used data from 413 subjects to develop a model yielding results with both theoretical and management implications. These results highlight the advantages and potential commercial value of facial recognition systems, and can provide useful analysis and suggestions for the hotel industry.
近年来,随着人脸识别技术的飞速发展,人脸识别系统得到了广泛的应用。面部识别系统在酒店业的应用产生了一种新的服务模式,也带来了很高的期望。这些系统可以用来改善传统的服务,也可以提高酒店的安全性。本文在理论基础上,采用技术接受模型,更深入地了解出行者使用人脸识别系统进行身份验证的意愿是如何形成的。本文采用调查方法,并使用来自413名受试者的数据来开发一个模型,产生具有理论和管理意义的结果。这些结果突出了人脸识别系统的优势和潜在的商业价值,可以为酒店业提供有用的分析和建议。
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引用次数: 0
期刊
International Journal of Information Systems in the Service Sector
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