Sustainability-related Communication Patterns on the Websites of European Top R&D Spenders

IF 1.6 Q3 MANAGEMENT Technology Innovation Management Review Pub Date : 2020-10-01 DOI:10.22215/TIMREVIEW/1395
Giacomo Liotta, S. Tanev, A. Gorra, Alicja Izabela Pospieszala
{"title":"Sustainability-related Communication Patterns on the Websites of European Top R&D Spenders","authors":"Giacomo Liotta, S. Tanev, A. Gorra, Alicja Izabela Pospieszala","doi":"10.22215/TIMREVIEW/1395","DOIUrl":null,"url":null,"abstract":"387 firms that were ranked as top R&D spenders in Europe for 2013. We processed the keyword occurrences in a simplified version of latent semantic analysis based on the application of principal component analysis to identify the specific combinations of words used by companies to communicate sustainability issues on their websites. The results show that “sustainable innovation” and “sustainable operations” based on partnerships and cooperation represent a dominant part of companies’ online communication strategies. One of the findings suggests a strong relationship between the communication of sustainable innovation aspects and sales, which offers a promising message to companies looking for evidence about the potential impact of their commitment to sustainable operations and innovation. Sustainability communications can bring your business many benefits, and help you stand out from your competitors.","PeriodicalId":51569,"journal":{"name":"Technology Innovation Management Review","volume":" ","pages":""},"PeriodicalIF":1.6000,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Technology Innovation Management Review","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.22215/TIMREVIEW/1395","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MANAGEMENT","Score":null,"Total":0}
引用次数: 1

Abstract

387 firms that were ranked as top R&D spenders in Europe for 2013. We processed the keyword occurrences in a simplified version of latent semantic analysis based on the application of principal component analysis to identify the specific combinations of words used by companies to communicate sustainability issues on their websites. The results show that “sustainable innovation” and “sustainable operations” based on partnerships and cooperation represent a dominant part of companies’ online communication strategies. One of the findings suggests a strong relationship between the communication of sustainable innovation aspects and sales, which offers a promising message to companies looking for evidence about the potential impact of their commitment to sustainable operations and innovation. Sustainability communications can bring your business many benefits, and help you stand out from your competitors.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
欧洲顶尖研发人员网站上与可持续发展相关的交流模式
387家公司被列为2013年欧洲研发支出最高的公司。我们在应用主成分分析的基础上,在简化版的潜在语义分析中处理了关键词的出现,以确定公司在其网站上传达可持续性问题时使用的特定单词组合。研究结果表明,基于伙伴关系和合作的“可持续创新”和“可持续运营”是公司在线沟通战略的主要组成部分。其中一项研究结果表明,可持续创新方面的沟通与销售之间存在着密切的关系,这为那些寻求证据证明其致力于可持续运营和创新的潜在影响的公司提供了一个有希望的信息。可持续发展沟通可以为您的企业带来许多好处,并帮助您从竞争对手中脱颖而出。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
5.90
自引率
0.00%
发文量
16
审稿时长
12 weeks
期刊最新文献
Employment of highly-skilled migrants during the pandemic: Focus on internal migration in Indonesia. Editorial: Blockchain and Digital Transformation Can Blockchain Improve Healthcare Management? Interview: Blockchain and Digital Transformation in Financial Services, Part I Coping with the Double-Edged Sword of Data-Sharing in Ecosystems
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1