Proceedings of the 8th Multidisciplinary International Social Networks Conference最新文献

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Determinants of Purchase Intention in Online Purchasing During the COVID-19 Pandemic in Japan 新冠肺炎疫情期间日本在线购买意愿的决定因素
T. Okamoto
{"title":"Determinants of Purchase Intention in Online Purchasing During the COVID-19 Pandemic in Japan","authors":"T. Okamoto","doi":"10.1145/3504006.3504012","DOIUrl":"https://doi.org/10.1145/3504006.3504012","url":null,"abstract":"The COVID-19 pandemic restricts consumer behavior for purchasing at physical stores and pushes to online purchasing. Despite the fact that many consumers have increased to purchase various goods at online malls and online stores, the factors that influence consumers’ purchase intention (PI) under COVID-19 pandemic are not clear. This study examines Japanese consumers’ perceptions toward online purchasing under COVID-19 pandemic and compares both determinant structure before and under the pandemic. This research examines Japanese consumers’ perceptions of online malls and online stores using structural equation modeling (SEM) and the model is based on the extended technology acceptance model (TAM). Our research demonstrates that the frequency of online purchasing has increased under COVID-19 pandemic. This study also reveals that PI on online malls and online stores is determined by perceived usefulness (PU), website quality (WQ), and trust (TR). Although PU and TR have strong effects on PI and WQ has a weak effect before the pandemic, the effect of PU on PI has become weak and WQ has stronger effect on PI than PU during the pandemic. In addition, TR has significant but negative effect on PU. However, the negative effect of TR on PU became weaker during the pandemic. This study provides online stores managers and related stakeholders with significant managerial implications.","PeriodicalId":296534,"journal":{"name":"Proceedings of the 8th Multidisciplinary International Social Networks Conference","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128938312","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
RPA as A Tool for Social Media Marketing: The good, The Bad and The Ugly RPA作为社交媒体营销的工具:好,坏和丑陋
I. Ting, Chia-Sung Yen, Shuang Yang
{"title":"RPA as A Tool for Social Media Marketing: The good, The Bad and The Ugly","authors":"I. Ting, Chia-Sung Yen, Shuang Yang","doi":"10.1145/3504006.3504015","DOIUrl":"https://doi.org/10.1145/3504006.3504015","url":null,"abstract":"Abstract RPA as known as Robotic Process Automatic, which is applying computer ability to integrate manual process to automatic process. So far, it is commonly used in industry or company process automation. With the rapid growth of World Wide Web and Social Media, social marketing and social commerce has becoming the main stream of e-commerce. However, the process of social media marketing is complicate and require a lot of manual works and human resource. Therefore, RPA is now a hot topic for social media marketing to reduce human resource and speed up the process. In this paper, we adopt deep interview research method to interview stakeholders of social media marketing about the good, the bad and the ugly of social media marketing. Conclusion and recommendation also been included in this paper. Social and professional topics→Professional topics→Computing and business→Automation","PeriodicalId":296534,"journal":{"name":"Proceedings of the 8th Multidisciplinary International Social Networks Conference","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131714492","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
A crowdfunding prediction model: a data-driven approach 众筹预测模型:数据驱动的方法
S. Kao
{"title":"A crowdfunding prediction model: a data-driven approach","authors":"S. Kao","doi":"10.1145/3504006.3504018","DOIUrl":"https://doi.org/10.1145/3504006.3504018","url":null,"abstract":"The crowdfunding platform has been regarded as an important driver of creativities in that it can help innovators easily get financial support from the public to turn their ideas into reality. As crowdfunding environment develop dynamic, the outcome of a crowdfunding project become unreliable and is significantly affected by multiple factors. Due to the uncertainty of the outcome of fundraising cases, the development of crowdfunding prediction become an important issue and increasingly attracts much attention from innovators. In the prior research, some centered on the exploration of critically successful determinants of a crowdfunding project, whereas some focus on the development of a prediction model for a crowdfunding project by improving prediction accuracy. Although the result obtained by the prior research is remarkable, limited valuable information or suggestions contributing to project design can be derived from the research result. Accordingly, the research is motivated to propose a crowdfunding prediction model, named CPMCDM. By employing the techniques of text mining and classification algorithm, the model is proposed to extract knowledge beneficial for successfully predicting the crowdfunding outcome from a dataset containing 28,159 crowdfunding projects on Kickstarter. By applying 30-70% strategy, 261 classification rules were generated from the training dataset (70% of the collected dataset). The remaining 30% of the collected dataset was used for model testing and prediction accuracy was 87.19%. For ensuring the feasibility and applicability of the proposed model, CPMCDM was verified by specialists with crowdfunding relevant experiences based on the criteria including reasonableness of the generated rules and usefulness of the model. The proposed model is expected not only to contribute to the prediction of crowdfunding outcome, but also to assist in better campaign design for crowdfunding projects in the future.","PeriodicalId":296534,"journal":{"name":"Proceedings of the 8th Multidisciplinary International Social Networks Conference","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122457396","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
The Impact of Perceived Success on Consumer Forgiveness: The Mediating Role of Power Distance 成功感知对消费者宽恕的影响:权力距离的中介作用
Ting-Hsuan Wey, Chien-Po Liao
{"title":"The Impact of Perceived Success on Consumer Forgiveness: The Mediating Role of Power Distance","authors":"Ting-Hsuan Wey, Chien-Po Liao","doi":"10.1145/3504006.3504017","DOIUrl":"https://doi.org/10.1145/3504006.3504017","url":null,"abstract":"The purpose of this study is to examine the impact of perceived team success on consumer forgiveness and the mediating role of power distance. It also investigates whether the type of apologizer (individual vs. team) has an impact on the benefits of team success. Study 1 used one-factor (success contribution: individual or team) between-subjects design to investigate whether the different power distance of the apologizers will affect the consumer forgiveness. Participants in study 1 were set to see the apology on social media. Study2 used 2 (success contribution: individual or team) × 2 (apologizer: individual or team) between-subjects design to investigate whether success contribution and number of apologizer have an impact on consumer forgiveness. The study also found that the power distance between consumption and successful individuals or groups may be the underlying mechanism. Participants in study 2 were set to see the apology on social media app and in an email apology letter. The results of this study suggest that when companies are perceived by consumers to owe their success to the team, they receive less power distance than companies that are perceived to owe their success to individuals, which in turn leads to higher levels of forgiveness from consumers when service failures occur. In addition, when crisis communications require an apology letter to be sent, it is more effective to send it in the name of the successful team rather than the successful individual.","PeriodicalId":296534,"journal":{"name":"Proceedings of the 8th Multidisciplinary International Social Networks Conference","volume":"2009 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127324778","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Online Review Comments affecting Purchase Intention: A Pilot Study. 在线评论评论影响购买意愿:一项试点研究。
Chih-Chin Liang, Yi-Mei Chang
{"title":"Online Review Comments affecting Purchase Intention: A Pilot Study.","authors":"Chih-Chin Liang, Yi-Mei Chang","doi":"10.1145/3504006.3504020","DOIUrl":"https://doi.org/10.1145/3504006.3504020","url":null,"abstract":"The outbreak of COVID-19 since the end of 2019 has led many people to work for home, reducing economic activity in many countries except online shopping, which is thriving during the pandemic. However, shopping is not take-and-go activity,as it needs references to help make the decision. Buying goods online is not as convenient as buying at physical stores where the customers can check the actual state of goods, obtain recommendations from the clerks or compare it with other similar goods. All these physical activities are persuasions. However, the main references for buying online are online third-party comments and brand image. People noticed the comments online, whether positive or negative about the product. Consumers write comments on the Internet according to their different impressions on the brands. Therefore, how the brand image and online comments affect persuasion is worthy of study. This pilot study thus takes the purchase of mobile phones as an example to explore the factors of people's evaluation of comments and brand image. The analytical results of exploratory factor analysis show that the questionnaire design is suitable. The formal study can take these research results as a reference.","PeriodicalId":296534,"journal":{"name":"Proceedings of the 8th Multidisciplinary International Social Networks Conference","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123015562","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
The effects of the time intervals and promotional sources on the inaction inertia of online shopping 时间间隔和促销来源对网络购物不作为惯性的影响
Ying-Feng Kuo, Tso-Hao Shen, Wen-Chen Lin
{"title":"The effects of the time intervals and promotional sources on the inaction inertia of online shopping","authors":"Ying-Feng Kuo, Tso-Hao Shen, Wen-Chen Lin","doi":"10.1145/3504006.3504007","DOIUrl":"https://doi.org/10.1145/3504006.3504007","url":null,"abstract":"This study investigates the effects of the time intervals and promotional sources between a missed better promotion and a current less attractive promotion on the inaction inertia in online shopping through an online experiment. The results show that the shorter the time intervals and coming from the same promotional source between two promotions in online shopping, the greater the inaction inertia. In theoretical implications, this study extends to validate the inaction inertia effect in online shopping and reconfirm that the time intervals and promotional sources between promotions affect the inaction inertia effect. In practice, online store managers can refer to the results of this study as a reference for planning future promotional activities.","PeriodicalId":296534,"journal":{"name":"Proceedings of the 8th Multidisciplinary International Social Networks Conference","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123212096","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Automatic Recognition of Traditional Analog Gauge and Intelligent Management by IOT Method 基于物联网的传统模拟仪表自动识别与智能管理
Chuan-Chun Wu, Hsien-Leing Tsai, ChienHsing Wu, Po-Jen Wang
{"title":"Automatic Recognition of Traditional Analog Gauge and Intelligent Management by IOT Method","authors":"Chuan-Chun Wu, Hsien-Leing Tsai, ChienHsing Wu, Po-Jen Wang","doi":"10.1145/3504006.3504011","DOIUrl":"https://doi.org/10.1145/3504006.3504011","url":null,"abstract":"The purpose of this research is using the technology of the Internet of Things to improve current medical or traditional industries in meter recording system. This research develops an IoT automatic meter reading system that is practical, precise, and highly feasible. The main device includes Arduino, two-axis slide rail, stepping motor and driver, Raspberry PI4, camera and server PC. Two-axis stepping motor is driven by the Arduino through the motor drive board, so that the camera on the slide rail accurately aligns with the center of the meter surface to improve the deviation cause by reader's viewing angle. After the Arduino positioning is completed, it notifies the Raspberry PI4, and then PI4 issues a screen capture command to the camera. We use OpenCV image recognition software to correctly identify and calculate the best value to achieve a goal that is more accurate than human reading. Finally, the original image and the recognized value are sent back and save on the PC server database (My SQL) through the TCP/IP Socket which is running on the Raspberry PI4. And then, Big Data analysis is applied, and its result is presented via Web-Service Page. This saves manpower trip or avoid the risk of entering a dangerous area and realize unmanned gauge recording. And when the system equipment is upgraded, there is no need to replace the original equipment components to achieve seamless system conversion.","PeriodicalId":296534,"journal":{"name":"Proceedings of the 8th Multidisciplinary International Social Networks Conference","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127096250","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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