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Web 3.0 Adoption Behavior: PLS-SEM and Sentiment Analysis Web 3.0采用行为:PLS-SEM和情感分析

Doctoral Consortium/Forum@DB&IS Pub Date : 2022-09-11 DOI: 10.48550/arXiv.2209.04900

S. M. Hizam, Waqas Ahmed, H. Akter, I. Sentosa, N. Mohamad, Masrek

{"title":"Web 3.0 Adoption Behavior: PLS-SEM and Sentiment Analysis","authors":"S. M. Hizam, Waqas Ahmed, H. Akter, I. Sentosa, N. Mohamad, Masrek","doi":"10.48550/arXiv.2209.04900","DOIUrl":"https://doi.org/10.48550/arXiv.2209.04900","url":null,"abstract":"Web 3.0 is considered as future of Internet where decentralization, user personalization and privacy protection would be the main aspects of Internet. Aim of this research work is to elucidate the adoption behavior of Web 3.0through a multi-analytical approach based on Partial Least Squares Structural Equation Modelling (PLS-SEM) and Twitter sentiment analysis. A theoretical framework centered on Performance Expectancy (PE), Electronic Word-of-Mouth (eWOM) and Digital Dexterity (DD), was hypothesized towards Behavioral Intention (INT) of the Web 3.0 adoption. Surveyed data were collected through online questionnaires and 167 responses were analyzed through PLS-SEM. While 3,989 tweets of Web3 were analyzed by VADER sentiment analysis tool in RapidMiner. PLS-SEM results showed that DD and eWOM had significant impact while PE had no effect on INT. Moreover, these results were also validated by PLS-Predict method. While sentiment analysis explored that 56% tweets on Web 3.0 were positive in sense and 7% depicted negative sentiment while remaining were neutral. Such inferences are novel in nature and an innovative addition to web informatics and could support the stakeholders towards web technology integration","PeriodicalId":404016,"journal":{"name":"Doctoral Consortium/Forum@DB&IS","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126285745","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

An Empirical Assessment of Customer Lifetime Value Models within Data Mining 数据挖掘中客户生命周期价值模型的实证评估

Doctoral Consortium/Forum@DB&IS Pub Date : 1900-01-01 DOI: 10.22364/BJMC.2018.6.4.08

Abdulkadir Hiziroglu, Merve Şişci, H. Cebeci, O. Seymen

{"title":"An Empirical Assessment of Customer Lifetime Value Models within Data Mining","authors":"Abdulkadir Hiziroglu, Merve Şişci, H. Cebeci, O. Seymen","doi":"10.22364/BJMC.2018.6.4.08","DOIUrl":"https://doi.org/10.22364/BJMC.2018.6.4.08","url":null,"abstract":"Customer lifetime value has been of significant importance to marketing researchers and practitioners in specifying the importance level of each customer. By means of segmentation which could be carried out using value-based characteristics it is indeed possible to develop tailored strategies for customers. In fact, approaches like data mining can facilitate extraction of critical customer knowledge for enhanced decision making. Although the literature has several analytical lifetime value models, comparative assessment of the existing models especially within the context of data mining seems a missing component. The aim of this paper is to compare two different customer lifetime value models within data mining. The evaluation was carried out within the context of customer segmentation using a database of a company operating in retail sector. The results indicated that two models yield the same segmentation structure and no statistical differences detected on the select control variables. However, the remaining model produced rather different segmentation results than their peers and it was possible to identify the most lucrative model according to the statistical analyses that were carried out on the select control variables.","PeriodicalId":404016,"journal":{"name":"Doctoral Consortium/Forum@DB&IS","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134108101","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