Big Data sources and methods for social and economic analyses-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Big Data sources and methods for social and economic analyses

Published:2018-05 Issue: Volume:130 Page:99-113
ISSN:0040-1625
Container-title:Technological Forecasting and Social Change
language:en
Short-container-title:Technological Forecasting and Social Change

Author:

Blazquez Desamparados,Domenech Josep^ORCID

Funder

Spanish Ministry of Economy and Competitiveness

Spanish Ministry of Education

Publisher

Elsevier BV

Subject

Management of Technology and Innovation,Applied Psychology,Business and International Management

Reference120 articles.

1. Estimating tourism statistics with Wikipedia page views;Alis,2015

2. Electronic word-of-mouth communities from the perspective of social network analysis;Arenas-Márquez;Tech. Anal. Strat. Manag.,2014

3. NLP-based faceted search: experience in the development of a science and technology search engine;Armentano;Expert Syst. Appl.,2014

4. Using the Wayback Machine to mine websites in the social sciences: a methodological resource;Arora;J. Assoc. Inf. Sci. Technol.,2016

5. Entry strategies in an emerging technology: a pilot web-based study of graphene firms;Arora;Scientometrics,2013

Cited by 202 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An evolutionary game model for indirect data sharing in manufacturing big data consortium;Expert Systems with Applications;2024-12

2. Scraping innovativeness from corporate websites: Empirical evidence on Italian manufacturing SMEs;Technological Forecasting and Social Change;2024-10

3. Measuring digitalization at scale using web scraped data;Technological Forecasting and Social Change;2024-10

4. Leveraging artificial intelligence and machine learning analytics for development effectiveness: a comprehensive approach to extract insights from project data;Journal of Development Effectiveness;2024-08-23

5. Measuring corporate digital divide through websites: insights from Italian firms;EPJ Data Science;2024-07-30

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3