The objective of the current study is to assess research activities in green consumption behavior where the flow of information is helping consumers to mold their minds towards green consumption. Bibliometric analysis has been applied for the current study using 1447 research papers on green consumption behaviors from Scopus Indexed journals for the 2015 to 2020 period. The document with the maximum citation “Predicting green products consumption using the theory of planned behavior and reasoned action” is the article with the highest citation of 338. Further, the keywords co-occurrence analysis indicates that the maximum occurring keywords are “Green Consumption”, “Sustainability”, “Sustainable Development”, “Green Consumption Behavior”. This research adds to the current literature on the behavior of green consumption in the edge where information is floating in many ways. The current study will provide the first baseline data on this subject, which will be used for future comparisons and policymakers to develop green consumption plans.
{"title":"Consumer Green Consumption Behavior: A Myth or Reality in the Information Age? A Study Based on Bibliometric Analysis Approach","authors":"Anu Gupta, V. Jain, Vikas Arya, Hemraj Verma","doi":"10.4018/irmj.291690","DOIUrl":"https://doi.org/10.4018/irmj.291690","url":null,"abstract":"The objective of the current study is to assess research activities in green consumption behavior where the flow of information is helping consumers to mold their minds towards green consumption. Bibliometric analysis has been applied for the current study using 1447 research papers on green consumption behaviors from Scopus Indexed journals for the 2015 to 2020 period. The document with the maximum citation “Predicting green products consumption using the theory of planned behavior and reasoned action” is the article with the highest citation of 338. Further, the keywords co-occurrence analysis indicates that the maximum occurring keywords are “Green Consumption”, “Sustainability”, “Sustainable Development”, “Green Consumption Behavior”. This research adds to the current literature on the behavior of green consumption in the edge where information is floating in many ways. The current study will provide the first baseline data on this subject, which will be used for future comparisons and policymakers to develop green consumption plans.","PeriodicalId":13575,"journal":{"name":"Inf. Resour. Manag. J.","volume":"1 1","pages":"1-19"},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88674519","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}
In Vehicular Networks, vehicles share information to improve traffic efficiency and safety. However, false information incurs severe damage or injuries because of malicious nodes. Althogh many schemes have been implemented for detection of false information,, there are problems concerning inadequate data security, large processing delay, weaker precision in detecting malicious nodes. In this paper, we put forward a Blockchain-based incentive-compatible trust management system. It provides a succinct and effective incentive mechanism to stimulate vehicles to broadcast road-related emergency information and vicinity vehicles to evaluate its timeliness. We also propose a novel method to calculate the reputation score to reflect the history behavior better. The transactions on the reputation scores are recorded in a consortium Blockchain consisted by Road Side Unit (RSU). The system has been experimentally validated to have a lower time delay and higher accuracy, and more accuracy reputation scores in Vehicular Networks.
在车联网中，车辆共享信息以提高交通效率和安全性。但是，由于恶意节点的存在，虚假信息会造成严重的破坏或伤害。虽然已经实现了许多检测虚假信息的方案，但存在数据安全性不足、处理延迟大、检测恶意节点精度较低等问题。本文提出了一种基于区块链的激励兼容信任管理系统。它提供了一个简洁有效的激励机制，以激励车辆广播道路相关紧急信息和附近车辆评估其及时性。我们还提出了一种新的方法来计算声誉得分，以更好地反映历史行为。信誉评分的交易记录在由Road Side Unit (RSU)组成的联盟区块链中。经实验验证，该系统具有较低的时延和较高的精度，并且在车载网络中具有较高的精度信誉分数。
{"title":"Blockchain-Based Incentive-Compatible Reputation Management System in Vehicular Networks","authors":"Rui Men, Xiumei Fan, Xuguang Yang","doi":"10.4018/irmj.291695","DOIUrl":"https://doi.org/10.4018/irmj.291695","url":null,"abstract":"In Vehicular Networks, vehicles share information to improve traffic efficiency and safety. However, false information incurs severe damage or injuries because of malicious nodes. Althogh many schemes have been implemented for detection of false information,, there are problems concerning inadequate data security, large processing delay, weaker precision in detecting malicious nodes. In this paper, we put forward a Blockchain-based incentive-compatible trust management system. It provides a succinct and effective incentive mechanism to stimulate vehicles to broadcast road-related emergency information and vicinity vehicles to evaluate its timeliness. We also propose a novel method to calculate the reputation score to reflect the history behavior better. The transactions on the reputation scores are recorded in a consortium Blockchain consisted by Road Side Unit (RSU). The system has been experimentally validated to have a lower time delay and higher accuracy, and more accuracy reputation scores in Vehicular Networks.","PeriodicalId":13575,"journal":{"name":"Inf. Resour. Manag. J.","volume":"8 1","pages":"1-16"},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90286149","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}
Pub Date : 2022-04-01DOI: 10.1016/j.im.2022.103606
T. James, Eduardo D. Villacis Calderon, F. Bélanger, P. Lowry
{"title":"The mediating role of group dynamics in shaping received social support from active and passive use in online health communities","authors":"T. James, Eduardo D. Villacis Calderon, F. Bélanger, P. Lowry","doi":"10.1016/j.im.2022.103606","DOIUrl":"https://doi.org/10.1016/j.im.2022.103606","url":null,"abstract":"","PeriodicalId":13575,"journal":{"name":"Inf. Resour. Manag. J.","volume":"38 1","pages":"103606"},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76715212","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}
Yongming Yao, Weiyi Jiang, Yulin Wang, Peng Song, Bin Wang
There are more than 3 million mobile apps in the Android market. The development process of every mobile application is rigorous, and many types of research on application quality requirements are derived, which are highly related to the development of applications. Research shows that user reviews of mobile applications are an unused large database that can provide feedback on user needs. In this article, user comments are automatically classified into non-functional requirements (NFRs) and other types. This paper proposes a loop matching classification technique (Loop Matching Classification). The three classification techniques of LMC, BOW, and TF-IDF were used to classify user comments, and the accuracy, recall rate, and F-measure of the results of the three classification techniques were compared. It was found that the Precision value of the LMC classification technique was 74.2%, the Recall was 82.5% and the F-measure was 78.1%.
{"title":"Non-Functional Requirements Analysis Based on Application Reviews in the Android App Market","authors":"Yongming Yao, Weiyi Jiang, Yulin Wang, Peng Song, Bin Wang","doi":"10.4018/irmj.291694","DOIUrl":"https://doi.org/10.4018/irmj.291694","url":null,"abstract":"There are more than 3 million mobile apps in the Android market. The development process of every mobile application is rigorous, and many types of research on application quality requirements are derived, which are highly related to the development of applications. Research shows that user reviews of mobile applications are an unused large database that can provide feedback on user needs. In this article, user comments are automatically classified into non-functional requirements (NFRs) and other types. This paper proposes a loop matching classification technique (Loop Matching Classification). The three classification techniques of LMC, BOW, and TF-IDF were used to classify user comments, and the accuracy, recall rate, and F-measure of the results of the three classification techniques were compared. It was found that the Precision value of the LMC classification technique was 74.2%, the Recall was 82.5% and the F-measure was 78.1%.","PeriodicalId":13575,"journal":{"name":"Inf. Resour. Manag. J.","volume":"79 1","pages":"1-17"},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84103956","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}
Pub Date : 2022-03-01DOI: 10.1016/j.im.2022.103641
Zhenzhen Zhao, Poonam Oberoi
{"title":"Designing crowdsolving Ba: A closer look at the features of crowdsolving platforms to manage organizational knowledge","authors":"Zhenzhen Zhao, Poonam Oberoi","doi":"10.1016/j.im.2022.103641","DOIUrl":"https://doi.org/10.1016/j.im.2022.103641","url":null,"abstract":"","PeriodicalId":13575,"journal":{"name":"Inf. Resour. Manag. J.","volume":"59 1","pages":"103641"},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81822896","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}
Pub Date : 2022-03-01DOI: 10.1016/j.im.2022.103600
K. Koay, V. Lim, P. Soh, D. Ong, J. Ho, Pang Kiam Lim
{"title":"Abusive supervision and cyberloafing: A moderated moderation model of moral disengagement and negative reciprocity beliefs","authors":"K. Koay, V. Lim, P. Soh, D. Ong, J. Ho, Pang Kiam Lim","doi":"10.1016/j.im.2022.103600","DOIUrl":"https://doi.org/10.1016/j.im.2022.103600","url":null,"abstract":"","PeriodicalId":13575,"journal":{"name":"Inf. Resour. Manag. J.","volume":"94 1","pages":"103600"},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86490442","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}
Pub Date : 2022-03-01DOI: 10.1016/j.im.2022.103599
Dongyeon Kim, Kyuhong Park, Youngsok Bang
{"title":"The effect of TV drama piracy: An analysis of digital piracy users, internet buzz, and TV drama viewership","authors":"Dongyeon Kim, Kyuhong Park, Youngsok Bang","doi":"10.1016/j.im.2022.103599","DOIUrl":"https://doi.org/10.1016/j.im.2022.103599","url":null,"abstract":"","PeriodicalId":13575,"journal":{"name":"Inf. Resour. Manag. J.","volume":"30 1","pages":"103599"},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90599005","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}
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