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Consumers' Motivations for Reading Electronic Word of Mouth (eWOM): A 4-IS Typology 消费者阅读电子口碑(eWOM)的动机:4-IS 类型学
Pub Date : 2023-11-01 DOI: 10.53106/160792642023112406011
Cheng-Wen Yao Cheng-Wen Yao, Dah-Kwei Liou Cheng-Wen Yao
EWOM initiates more consumers’ empathy and is also reliable information for a consumer. Consumers are increasingly relying on finding and reading eWOM to make purchasing decisions. Knowing why the consumers read these eWOM helps marketers provide proper information and marketing contents. This study uses the phenomenographic approach to explore consumers’ motivations for reading eWOM. After interviews with thirty participants, this study constructed a 4-IS typology of eWOM motivation based on two dimensions: consumer’s product familiarity and purchase intention. The study also adopts the concept of MOAB model to illustrate four categories. This study provides some useful insights for marketers to systematically analyze why consumers read eWOM. It not only helps us understand why a consumer reads eWOM also helps us figure out how the eWOM affects a consumer.
网络口碑能引起更多消费者的共鸣,也是消费者可靠的信息。消费者越来越依赖寻找和阅读网络口碑来做出购买决策。了解消费者阅读这些网络口碑的原因有助于营销人员提供适当的信息和营销内容。本研究采用现象学方法探讨消费者阅读网络口碑的动机。在对 30 位参与者进行访谈后,本研究从消费者的产品熟悉程度和购买意向两个维度构建了网络口碑阅读动机的 4-IS 类型。本研究还采用了 MOAB 模型的概念来说明四个类别。本研究为营销人员系统分析消费者阅读网络口碑的原因提供了一些有益的启示。它不仅能帮助我们理解消费者为什么阅读网络口碑,还能帮助我们弄清网络口碑是如何影响消费者的。
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引用次数: 0
Analyzing the Influence of Internet Usage Behavior on Spectator Sports Consumption Among College Students: An Empirical SEM Study Based on the SOR Model 分析大学生网络使用行为对体育观众消费的影响:基于 SOR 模型的 SEM 实证研究
Pub Date : 2023-11-01 DOI: 10.53106/160792642023112406020
Yujie Zhang Yujie Zhang, Yuyang Hou Yujie Zhang, Luning Cao Yuyang Hou, You Xiong Luning Cao, Qian Huang You Xiong
In light of China’s burgeoning sports competition and performance sector, the evident shift towards diverse sports consumption preferences underscores an urgent need to refine the current consumption structure. Notably, the underdeveloped ornamental sports consumption sphere impedes the evolution of this structure. This study, focusing on the pivotal demographic in the sports event consumption market—college students, deploys a questionnaire-based approach to explore patterns in ornamental sports consumption, internet usage behavior, perceived value associated with ornamental sports, and trust towards this mode of consumption. Leveraging the Stimulus-Organism-Response (SOR) model and integrating various theories, we constructed hypothetical models. Utilizing structural equation modeling, we probed the intricate relationships among these variables through path analysis. This empirical investigation specifically scrutinized the impact of college students’ internet behavior on their spectator sports consumption, extending to the intermediary roles played by the perceived value and trust related to ornamental sports. Key findings indicate: (1) A direct positive correlation exists between college students’ internet behaviors and their affinity for spectator sports. (2) The perceived value of ornamental sports acts as a mediator between students’ internet activities and their consumption behaviors. (3) Trust in ornamental sports consumption mediates the relationship between internet usage and consumption patterns.
随着中国体育竞赛与表演产业的蓬勃发展,体育消费偏好明显转向多元化,这凸显了完善现有消费结构的迫切性。值得注意的是,不发达的观赏性体育消费领域阻碍了这一结构的发展。本研究以体育赛事消费市场中的重要人群--大学生为研究对象,采用问卷调查的方法,探讨观赏性体育消费模式、互联网使用行为、观赏性体育相关价值感知以及对这种消费模式的信任度。我们利用 "刺激-组织-反应(SOR)"模型并结合各种理论,构建了假设模型。利用结构方程模型,我们通过路径分析探究了这些变量之间错综复杂的关系。本次实证调查专门研究了大学生网络行为对其观赏性体育消费的影响,并延伸到与观赏性体育相关的感知价值和信任所发挥的中介作用。主要研究结果表明:(1)大学生的网络行为与他们对观赏性体育的亲和力之间存在直接的正相关。(2)观赏性体育的感知价值是大学生网络活动与消费行为之间的中介。(3) 对观赏性体育消费的信任是互联网使用与消费模式之间关系的中介。
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引用次数: 0
Fast and On-demand Network-wide Telemetry via Cluster Based Path Planning 通过基于集群的路径规划进行快速、按需的全网遥测
Pub Date : 2023-11-01 DOI: 10.53106/160792642023112406016
Du Chen Du Chen, Deyun Gao Du Chen, Wei Quan Deyun Gao, Chuan Heng Foh Wei Quan, Hongke Zhang Chuan Heng Foh
In-band Network Telemetry (INT) has profoundly promoted the network visibility. However, the existing solutions either face Maximum Transmission Unit (MTU) limitation or latency issue due to continuous insertion of INT metadata along long forwarding paths. In addition, conducting telemetry using user packets is prone to result in duplicate telemetry and fall short to achieve network-wide telemetry. In this work, we propose NetworkSight to comprehensively resolve these problems through cluster based path planning and source routing based on-demand forwarding. Specifically, a cluster based path planning algorithm is designed to generate several balanced short forwarding paths that cover the entire network. As a consequence, the MTU limitation is overcome and the telemetry latency can be reduced. Instead of operating on user packets, NetworkSight sends crafted probes built on source routing to travel synchronously over the generated forwarding paths. With these improvements, network-wide telemetry is achieved. Besides, we define a suite of telemetry primitives and develop corresponding APIs for users to flexibly express their telemetry requirements. Extensive experimental results show that NetworkSight can generate more balanced forwarding paths. The results show that it outperforms state-of-the-art mechanisms, where it reduces the telemetry latency by tens of milliseconds.
带内网络遥测(INT)大大提高了网络的可视性。然而,现有的解决方案要么面临最大传输单元(MTU)限制,要么由于在较长的转发路径上持续插入 INT 元数据而面临延迟问题。此外,使用用户数据包进行遥测容易造成重复遥测,无法实现全网遥测。在这项工作中,我们提出了 NetworkSight,通过基于集群的路径规划和基于源路由的按需转发来全面解决这些问题。具体来说,我们设计了一种基于集群的路径规划算法,以生成多条覆盖整个网络的平衡短转发路径。因此,可以克服 MTU 限制,减少遥测延迟。NetworkSight 不对用户数据包进行操作,而是发送基于源路由的精心制作的探测器,在生成的转发路径上同步移动。通过这些改进,可以实现全网范围的遥测。此外,我们还定义了一套遥测原语,并开发了相应的应用程序接口,供用户灵活表达其遥测要求。广泛的实验结果表明,NetworkSight 可以生成更平衡的转发路径。结果表明,它的性能优于最先进的机制,可将遥测延迟降低数十毫秒。
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引用次数: 0
Can University Marks Measure Programming Skills for Novice Programmers? An Exploratory Study 大学分数能否衡量程序员新手的编程技能?一项探索性研究
Pub Date : 2023-11-01 DOI: 10.53106/160792642023112406002
Fanghui Zha Fanghui Zha, Yong Wang Fanghui Zha, Liqiang Mao Yong Wang, Jin Liu Liqiang Mao, Xue Wang Jin Liu
Programming skills are the key ability of programmers. For novice programmers who are new and have little experience in programming, it is important to measure and improve their programming skills. In practice, novice programmers learn programming knowledge and coding ability at university, and course learning is the main way for novice programmers to improve programming skills. However, can university marks be used to measure the programming skills of programming novices? To answer this question, in a controlled experiment, we compare university marks of novice programmers with their performance in programming tasks. The results showed that there were 7 courses with significant correlation among the 13 courses, among which the software engineering course had the most significant correlation.
编程技能是程序员的关键能力。对于初学编程、编程经验不足的程序员新手来说,衡量和提高他们的编程能力非常重要。在实践中,程序员新手在大学学习编程知识和编码能力,课程学习是程序员新手提高编程能力的主要途径。然而,大学分数能否用来衡量程序设计新手的编程能力呢?为了回答这个问题,我们在对照实验中比较了程序设计新手的大学分数和他们在编程任务中的表现。结果表明,在 13 门课程中,有 7 门课程存在显著相关性,其中软件工程课程的相关性最为显著。
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引用次数: 0
Identifying Valuable Knowledge Topics in Innovation Communities Using Innovation-LDA 利用创新-LDA 在创新社区中识别有价值的知识主题
Pub Date : 2023-11-01 DOI: 10.53106/160792642023112406012
Hongting Tang Hongting Tang, Yanlin Zhang Hongting Tang, Xianyun Lin Yanlin Zhang, Lanteng Wu Xianyun Lin
Researchers and practitioners have recognized that user-generated content in the innovation community plays an important role. However, it is challenging to automatically identify valuable knowledge from these unstructured texts. Thus, in this study, we propose an efficient model for extracting innovation-oriented topics and, simultaneously, for assigning discovered topics to each post in the online innovation community. Specifically, we introduce a variant of the latent Dirichlet allocation (LDA) topic model, called the Innovation-LDA model, which comprehensively considers users’ interests (reflected by pageviews and replies) and the structure of threads (e.g., header or body) to generate the valuable topics. We access the quality of discovered information through statistical fit as well as substantive fit. Based on our experimental results, we can conclude that our proposed method exhibits better performance than that of the contrasted method and can locate more meaningful innovation topics; that is, our innovation-LDA model is capable of not only identifying more rigorous topics for each thread by utilizing the text structure but is also capable of learning more semantic and coherent themes from user interests. This investigation expands topic identification research by providing both a new theoretical perspective and useful guidance for enterprises in product innovation.
研究人员和从业人员已经认识到,用户生成的内容在创新社区中发挥着重要作用。然而,从这些非结构化文本中自动识别有价值的知识是一项挑战。因此,在本研究中,我们提出了一种高效的模型,用于提取面向创新的主题,同时将发现的主题分配给在线创新社区中的每个帖子。具体来说,我们引入了潜在德里赫特分配(LDA)主题模型的一个变体,称为创新-LDA 模型,该模型综合考虑了用户的兴趣(通过页面浏览量和回复量反映)和主题的结构(如标题或正文)来生成有价值的主题。我们通过统计拟合和实质拟合来获取所发现信息的质量。根据实验结果,我们可以得出结论:与对比方法相比,我们提出的方法表现出更好的性能,并能找到更有意义的创新主题;也就是说,我们的创新-LDA 模型不仅能利用文本结构为每个主题识别出更严谨的主题,还能从用户兴趣中学习到更多语义连贯的主题。这项研究拓展了主题识别研究,为企业的产品创新提供了新的理论视角和有益指导。
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引用次数: 0
A Multi-Atlas Segmentation Algorithm with An Improved Sparse Representation on Brain MR Images 改进稀疏表示的脑磁共振图像多图集分割算法
Pub Date : 2023-11-01 DOI: 10.53106/160792642023112406019
Hong Shi Hong Shi, Leiyi Gao Hong Shi, Ruixin Zhang Leiyi Gao, Junzhu Wang Ruixin Zhang, Hongxia Deng Junzhu Wang
Macaque brains are very close to human brains, so it’s an effective way to deepen the understanding of human brain functions by studying macaque brain structures. In order to segment subcortical nuclei of macaque brains more accurately, a multi-atlas segmentation algorithm based on an improved sparse representation has been designed in this paper. Firstly, a type of labeling information for atlas brain images is introduced when sparse patch-based representation is constructed, and then mutual information is improved by changing the calculation method of the information entropy, and it is used to measure the similarity between the target image and the atlas images. These two make the weights of the atlas more reasonable during fusion. Secondly, in order to fuse the segmentation results from two methods, nonlocal-patch-weighted method and the sparse representation method, a new similarity index based on a combination of dice coefficient and cosine distance is proposed. Finally, the experimental results show that this algorithm proposed in this paper has improved the accuracy of segmentation of hippocampus, striatum, claustrum and other nuclei, and it has better robustness.
猕猴大脑非常接近人类大脑,因此通过研究猕猴大脑结构来加深对人类大脑功能的理解是一种有效的方法。为了更准确地分割猕猴大脑皮层下核,本文设计了一种基于改进稀疏表示的多图谱分割算法。首先,在构建基于稀疏斑块的表示时引入了一种脑图集图像的标记信息,然后通过改变信息熵的计算方法改进了互信息,并用它来衡量目标图像和图集图像之间的相似性。这两点使得融合过程中图集的权重更加合理。其次,为了融合非局部补丁加权法和稀疏表示法两种方法的分割结果,提出了一种基于骰子系数和余弦距离组合的新的相似性指标。最后,实验结果表明,本文提出的算法提高了海马、纹状体、视网膜和其他核团的分割精度,并具有更好的鲁棒性。
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引用次数: 0
A k-hop Constrained Reachability Based Proactive Connectivity Maintaining Mechanism of UAV Swarm Networks 一种基于 k 跳受限可达性的无人机蜂群网络主动连接维护机制
Pub Date : 2023-11-01 DOI: 10.53106/160792642023112406015
Huibin Wang Huibin Wang, Ming Chen Huibin Wang, Xianglin Wei Ming Chen
Harsh or hostile environments may lead to node failure and connectivity degradation of a UAV swarm system. In order to maintain or restore the connectivity of a network in case of node failure, this paper proposes a mechanism to adjust the network topology to resist the impact caused by node failure. Firstly, a network model of a UAV swarm network based on k-hop constrained reachability is proposed. Secondly, a k-hop constrained reachability based proactive connectivity maintaining mechanism of UAV swarm network is presented. In this mechanism, each node identifies the network abnormality distributed according to k-hop reachability, and reports the observed abnormality to the master node; then, a virtual edge-based topology reconstruction algorithm is put forward for the master node to derive a topology reconstruction solution in a centralized way; afterwards, the solution is delivered to the slave nodes to reconfigure the network topology in parallel. Thirdly, a quantitative method is introduced to optimize the total travel distance of nodes, and a spanning tree-based method is designed to maintain the connectivity during the topology transformation process. Both theoretical analysis and simulation results have shown that: on the one hand, the proposed mechanism are effective in maintaining a UAV swarm’s connectivity in case of node failure; on the other hand, the proposed mechanism outperforms existing mechanisms in terms of fault tolerance, connectivity, and total travel distance, and it’s less affected by the failure rate.
恶劣或敌对的环境可能会导致节点故障和无人机蜂群系统的连接性下降。为了在节点失效时保持或恢复网络的连通性,本文提出了一种调整网络拓扑结构的机制,以抵御节点失效造成的影响。首先,本文提出了基于 k 跳约束可达性的无人机蜂群网络模型。其次,提出了一种基于 k 跳约束可达性的无人机蜂群网络主动连接维护机制。在该机制中,各节点根据k-hop可达性识别网络异常分布,并将观察到的异常情况报告给主节点;然后,主节点提出一种基于虚拟边的拓扑重构算法,以集中方式得出拓扑重构方案;之后,将该方案传递给从节点,并行重构网络拓扑。第三,引入一种定量方法来优化节点的总行程距离,并设计一种基于生成树的方法来保持拓扑改造过程中的连通性。理论分析和仿真结果表明:一方面,所提出的机制能在节点失效时有效保持无人机群的连通性;另一方面,所提出的机制在容错性、连通性和总行程距离方面优于现有机制,且受故障率的影响较小。
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引用次数: 0
Efficiency Evaluation of Business in IoT Supply Chains by Network DEA 利用网络 DEA 评估物联网供应链中的业务效率
Pub Date : 2023-11-01 DOI: 10.53106/160792642023112406018
Han-Ying Kao Han-Ying Kao, Chien-Hao Lan Han-Ying Kao, Chia-Hsien Hsu Chien-Hao Lan
Recently Internet of things (IoT) and its applications are emerging as a momentous trend in industry. Numerous hardware and software providers have been entering the intense market competition in IoT related industries. Correspondingly, the attention on evaluation of IoT industry is growing. However, it is a main theme as how to consider the multiple dimensions and dependencies among the criteria in IoT supply chains simultaneously. By considering internal processes in DMUs as well as their interactions, this study designs the evaluation methods with network data envelopment analysis (NDEA) and multi-objective programming (MOP) techniques. This work intends to estimate the efficiency of IoT businesses from the perspectives of R&D, manufacturing, sales and finance, and the overall performance. The proposed models are implemented with empirical case studies in IoT supply chains in Taiwan. The results show the usefulness and validity of the proposed methods in evaluating IoT related business.
最近,物联网(IoT)及其应用正在成为工业领域的一个重要趋势。众多硬件和软件供应商纷纷进入物联网相关行业,展开激烈的市场竞争。相应地,对物联网产业评估的关注度也越来越高。然而,如何同时考虑物联网供应链的多个维度和标准之间的依赖关系是一个主要课题。通过考虑 DMU 的内部流程及其相互作用,本研究利用网络数据包络分析(NDEA)和多目标编程(MOP)技术设计了评估方法。这项工作旨在从研发、制造、销售和财务以及整体绩效的角度估算物联网企业的效率。通过对台湾物联网供应链的实证案例研究,实现了所提出的模型。结果表明,所提出的方法在评估物联网相关业务方面非常有用和有效。
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引用次数: 0
ACStalk: Design and Implementation of An Access/Entry Control System using an Internet of Things (IoT) Platform ACStalk:利用物联网 (IoT) 平台设计和实施出入口控制系统
Pub Date : 2023-11-01 DOI: 10.53106/160792642023112406017
Syuan-You Chen Syuan-You Chen, Shih-Wen Jiang Syuan-You Chen, Whai-En Chen Shih-Wen Jiang
An access/entry control system usually consists of many subsystems. These subsystems have different Application Programming Interfaces (APIs), but they need to be integrated and interacted well. Without a good integrated platform, the communications between subsystems will be very complicated. In addition, except user name and password, Radio Frequency Identification (RFID), and the human’s biometrics (e.g., fingerprint and face) are used to identify users. Wireless Local Area Network (WLAN), mobile communications (e.g. 4G/5G) and Bluetooth are adopted as the remote access technologies. In addition, with the COVID-19 pandemic, public health and personal safety are getting more concerns. People are required to wear personal protective equipment (PPE) in some special areas (e.g., barns and factories) to ensure the personal healthy and food’s safety. To identify the user and detect whether the PPE is correctly worn, this paper proposes an access/entry control system by using an Internet of Things (IoT) platform. Through the proposed IoT system architecture, different identification mechanisms and communication technologies can be adopted, and the messages can be exchanged between two mechanisms. This paper elaborates the architecture design of the IoT platform and discusses the implementation/deployment issues of the PPE detection by using machine learning mechanisms.
出入口控制系统通常由许多子系统组成。这些子系统有不同的应用编程接口(API),但它们需要很好地集成和交互。如果没有一个良好的集成平台,子系统之间的通信将非常复杂。此外,除用户名和密码外,射频识别(RFID)和人体生物特征(如指纹和面部)也可用于识别用户。远程访问技术采用无线局域网(WLAN)、移动通信(如 4G/5G)和蓝牙。此外,随着 COVID-19 的流行,公众健康和人身安全日益受到关注。在一些特殊区域(如谷仓和工厂),人们必须穿戴个人防护设备(PPE),以确保个人健康和食品安全。为了识别用户身份并检测个人防护设备是否正确佩戴,本文提出了一种利用物联网(IoT)平台的出入口控制系统。通过所提出的物联网系统架构,可以采用不同的识别机制和通信技术,并在两种机制之间交换信息。本文阐述了物联网平台的架构设计,并讨论了利用机器学习机制检测个人防护设备的实施/部署问题。
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引用次数: 0
A Web Service Clustering Method with Semantic Enhancement Based on RGPS and BTM 基于RGPS和BTM的语义增强Web服务聚类方法
Pub Date : 2023-07-01 DOI: 10.53106/160792642023072404012
Fang Xie Fang Xie, Jing-Liang Chen Fang Xie, Yi Zhu Jing-Liang Chen, Hong-Yan Zheng Yi Zhu
In order to overcome the data sparsity problem in service description text and to improve the web service clustering quality, we propose a web service clustering method with semantic enhancement based on RGPS (Role-Goal-Process-Service) Framework and Bi-term Topic Model (BTM). First, we extend service description text’s feature according to RGPS meta-model framework. Also, we generate the service latent feature by BTM. Then, we employ K-means on the generated features. The results of experiments on service registry PWeb show that this method can get better clustering performance in purity and entropy. It is proved that this method has great efficiency compared with the baseline methods K-means, Agglomerative and LDA (Latent Dirichlet Allocation). This paper enhances the service clustering performance and creates foundation work for service organization and recommendation.  
为了克服服务描述文本中的数据稀疏性问题,提高web服务聚类质量,提出了一种基于RGPS (Role-Goal-Process-Service)框架和双术语主题模型(BTM)的语义增强web服务聚类方法。首先,我们根据RGPS元模型框架扩展了服务描述文本的特征。并利用BTM生成服务潜在特征。然后,我们对生成的特征使用K-means。在服务注册表PWeb上的实验结果表明,该方法在纯度和熵方面都能获得较好的聚类性能。与K-means、Agglomerative和LDA (Latent Dirichlet Allocation)等基线方法相比,该方法具有很高的效率。提高了服务集群的性能,为服务组织和服务推荐奠定了基础。
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引用次数: 0
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網際網路技術學刊
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