Economics of Networks eJournal最新文献_第5页

Social Media Data Analytics – Using Big Data for Big Consumer Reach 社交媒体数据分析——利用大数据获取大消费者

Economics of Networks eJournal Pub Date : 2020-10-08 DOI: 10.2139/ssrn.3707859

Kayli Blackburn, Kyle Boris

{"title":"Social Media Data Analytics – Using Big Data for Big Consumer Reach","authors":"Kayli Blackburn, Kyle Boris","doi":"10.2139/ssrn.3707859","DOIUrl":"https://doi.org/10.2139/ssrn.3707859","url":null,"abstract":"Since the arrival of ‘Big Data’ and social media’s meteoric rise in popularity, businesses have been forced to review, reinvent, and reallocate their marketing strategies. Having a social media presence is a requirement for most any firm that has goods or services to sell to consumers. In today’s environment of highly charged verbal-volatility, companies are not only scrambling to adjust to the YouTube generation of advertising, but also monitoring and protecting their corporate image. While branding is outside the scope of the paper, we do touch on artificial intelligence and how machine learning is employed to monitor user sentiment on social media platforms. The monitored data segments evaluated in this research paper are frequency, education level, gender, age, geographic location, and personal interests. In addition to data monitoring, the paper also includes a brief discussion of the online marketing environment. The ethos of this document is to demonstrate how small and mid-size businesses can best allocate their advertising budgets to maximize exposure, and ultimately conversions on the most popular social media platforms. By tracking conversions and impressions, we present a scenario of social media marketing optimization that demonstrates how Excel’s Solver add-in can be used for advertising allocations with the goal of highest potential sales.","PeriodicalId":319022,"journal":{"name":"Economics of Networks eJournal","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128800421","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

Client Performance Predictions for Private Blockchain Networks 私有区块链网络的客户端性能预测

Economics of Networks eJournal Pub Date : 2020-09-30 DOI: 10.5121/ijcnc.2020.12507

László Viktor Jánoky, J. Levendovszky, P. Ekler

引用次数: 1

Endeavours: The Relationship in Social Network of Thai Student Labourers in Australia 泰国学生劳工在澳洲的社会网络关系研究

Economics of Networks eJournal Pub Date : 2020-09-30 DOI: 10.35609/gjbssr.2020.8.3(1)

T. Chamaratana

{"title":"Endeavours: The Relationship in Social Network of Thai Student Labourers in Australia","authors":"T. Chamaratana","doi":"10.35609/gjbssr.2020.8.3(1)","DOIUrl":"https://doi.org/10.35609/gjbssr.2020.8.3(1)","url":null,"abstract":"Objective - This article aims to examine the relationship in the social network of Thai student labourers or special migrants known as “Thai-Aus labourers”, who are studying and working in Sydney, Australia.\u0000Methodology/Technique – Data was collected via in-depth interviews with 18 key Thai-Aus labourers in Sydney, Australia. These key informants were selected using the snowball technique. Content analysis was performed with the data based on the ATLAS.ti programme, and the social networks were analysed using the Ucinet and Netdraw programme.\u0000Finding – The results conclude that the relationships within the social networks of the Thai-Aus labourers were complex, although they each shared the same goal. The relationships were principally based on benefit exchange even though personal relationships appeared on the surface.\u0000Novelty - The directional flow in the pattern of benefit-giving and receiving, and the duration, did not affect relationships, which depended more on personal cases.\u0000Type of Paper: Empirical.\u0000JEL Classification: J21, J29.\u0000\u0000Keywords: Brokers; Social Network; Migrant Labour Network; Working Abroad of Thai Labourers.\u0000\u0000Reference to this paper should be made as follows: Chamaratana, T. 2020. Endeavours: The Relationship in Social Network of Thai Student Labourers in Australia, Global J. Bus. Soc. Sci. Review 8(3): 144 – 152. https://doi.org/10.35609/gjbssr.2020.8.3(1)","PeriodicalId":319022,"journal":{"name":"Economics of Networks eJournal","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128737278","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

Distance in Reward based Crowdfunding 基于奖励的众筹中的距离

Economics of Networks eJournal Pub Date : 2020-09-24 DOI: 10.2139/ssrn.3698562

Ludovic Vigneron

引用次数: 1

Gains from Convenience and the Value of E-commerce 便利收益与电子商务的价值

Economics of Networks eJournal Pub Date : 2020-09-18 DOI: 10.2139/ssrn.3596460

Yufeng Huang, Bart J. Bronnenberg

{"title":"Gains from Convenience and the Value of E-commerce","authors":"Yufeng Huang, Bart J. Bronnenberg","doi":"10.2139/ssrn.3596460","DOIUrl":"https://doi.org/10.2139/ssrn.3596460","url":null,"abstract":"Why do consumers value shopping online? We decompose the value of e-commerce to individual consumers and highlight the role of convenience, i.e., the avoidance of transportation costs. We complement household purchase panel data with precise locations of consumers and stores, and show that travel distance is a strong driver of consumer store choice and the substitution to the online channel. Using a structural model of retailer and channel choice, we report that during 2016-2018 the total value from e-commerce to consumers is equivalent to a 23% discount on all prices. Of this value, a quarter comes from convenience in the form of lower transportation costs, a quarter from intensified price competition, and the remaining half from new online retailers and online channels of existing offline retailers. We further demonstrate that consumer gains are heterogeneous. Consumers far from offline stores or experienced in online shopping will benefit more from e-commerce, whereas consumers who likely do not shop online still benefit indirectly from price competition. Finally, our results show that, as consumers gain more online shopping experience, substantial additional gains from e-commerce are yet to materialize in the future.","PeriodicalId":319022,"journal":{"name":"Economics of Networks eJournal","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126659450","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: 5

Analysis and Interventions in Large Network Games 大型网络游戏的分析与干预

Economics of Networks eJournal Pub Date : 2020-09-14 DOI: 10.2139/ssrn.3692826

F. Parise, A. Ozdaglar

引用次数: 19

Socially Embedded Knowledge Networks and the Making of Opinion Leaders: Evidence from Twitter 社会嵌入知识网络与意见领袖的形成:来自Twitter的证据

Economics of Networks eJournal Pub Date : 2020-09-06 DOI: 10.2139/ssrn.3493065

Hao Bo

{"title":"Socially Embedded Knowledge Networks and the Making of Opinion Leaders: Evidence from Twitter","authors":"Hao Bo","doi":"10.2139/ssrn.3493065","DOIUrl":"https://doi.org/10.2139/ssrn.3493065","url":null,"abstract":"This paper focuses on knowledge markets exploring how network relationships between knowledge consumers impact the equilibrium number of opinion leaders. Both a theoretical model and empirical analysis show that there’ll be more opinion leaders in a knowledge market if the most active knowledge consumers occupy more central positions in a social network connecting consumers. The model formalizes the following story. Knowledge consumers are embedded in network relationships through which they influence each other on which opinion providers they pay attention to. If the most active (thus most capable to influence) knowledge consumers occupy more central network positions, consumer attention gravitates toward some opinion providers, and this turns more opinion providers into opinion leaders. The model inspires and is supported by empirical analysis using a Twitter network and associated tweets. First, unsupervised machine learning is used to define knowledge markets: topic modeling finds 45 topics in tweets, network community detection yields 4 nearly isolated Twitter sub-networks, and a knowledge market is then defined by a combination of one topic and one sub-network. Second, with each knowledge market being a unit of observation, we define variables and test our theoretical predictions. This is the first paper to formally define opinion leaders, knowledge markets, and consumer attention. While the existing literature emphasizes the role of opinion providers’ network positions on the making of opinion leaders, this work shows the network positions of active consumers matter because active consumers serve as a propagation machine.","PeriodicalId":319022,"journal":{"name":"Economics of Networks eJournal","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116429031","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

Marketing with Shallow and Prudent Influencers 利用肤浅和谨慎的影响者进行营销

Economics of Networks eJournal Pub Date : 2020-09-01 DOI: 10.2139/ssrn.3735478

引用次数: 5

Impact of Social Capital on the Intention of Job Seekers to Use Social Networking Websites (SNWs) for Searching Jobs 社会资本对求职者使用社交网站求职意向的影响

Economics of Networks eJournal Pub Date : 2020-08-29 DOI: 10.2139/ssrn.3683211

Eraj Shakeel, D. Siddiqui

{"title":"Impact of Social Capital on the Intention of Job Seekers to Use Social Networking Websites (SNWs) for Searching Jobs","authors":"Eraj Shakeel, D. Siddiqui","doi":"10.2139/ssrn.3683211","DOIUrl":"https://doi.org/10.2139/ssrn.3683211","url":null,"abstract":"This paper proposed a theoretical framework that will bridge a segment of the research-practice gap that exists in regard to the use of SNSs in recruitment. We modified Fang (2015) model to include the Professionalism and Credibility of SNW in a framework that explains how social capital affects the preference and Credibility of SNW. Cost factors (i.e., privacy concern) and benefit factors (i.e. perceived usefulness) are hypothesized to mediate the relationship between social capital factors (i.e., social information and social reference capital, and Professionalism) and preference and Credibility. To test our model, a survey of 200 valid questionnaires was conducted and 200 current profiles were collected from university students. Data were analyzed using confirmatory factor analysis and structured equation modeling. Results suggested, perceived usefulness has a positive influence on jobseekers’ use of job-seeking SNS, whereas social information capital, RJP and social reference capital positively affect users’ perceived usefulness and SNWs privacy moreover the social information capital of jobs has an insignificant impact on the user’s privacy concerns regarding SNWs Moreover, both cost and benefit factors seems to mediate the relationship positively and significantly. The study focuses on the need for individual users to enhance their professional and career success by using technologies such as social media.","PeriodicalId":319022,"journal":{"name":"Economics of Networks eJournal","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123800096","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 Platform Price Parity Clauses: Evidence from the EU Booking.com case 在线平台价格平价条款:来自欧盟Booking.com案例的证据

Economics of Networks eJournal Pub Date : 2020-08-28 DOI: 10.2139/ssrn.3381299

A. Mantovani, C. Piga, Carlo Reggiani

引用次数: 8