Smart knowledge management driving green transformation: A comparative case study

IF 5.4 Q2 ENERGY & FUELS Smart Energy Pub Date : 2022-08-01 DOI:10.1016/j.segy.2022.100085
József Magyari , Máté Zavarkó , Zoltán Csedő
{"title":"Smart knowledge management driving green transformation: A comparative case study","authors":"József Magyari ,&nbsp;Máté Zavarkó ,&nbsp;Zoltán Csedő","doi":"10.1016/j.segy.2022.100085","DOIUrl":null,"url":null,"abstract":"<div><p>Large energy companies and energy startups are increasingly focusing their resources to build new businesses concerning smart energy systems (SES). The development and integration of related innovative technologies for green transformation with traditional business models are often hampered, however, by the challenge of parallel management of exploitation of current business areas, and the exploration of new business areas with breakthrough innovation. While knowledge management could be key in this balancing strategy and shifting the organization to a more sustainable future, little is known about the challenges in the context of the energy sector. Applying a comparative case study method at a large energy company and a small energy startup, path dependency is reflected in KMS design in both cases, which could result in a slower shift to new technologies in case of the incumbent, and slower exploitation of the technological innovation in case of the startup. If a partnership is not an option for simulating structural ambidexterity, energy companies could speed up green transformation individually with smart knowledge management systems (SKMS) that support the development of contextual ambidexterity and SES.</p></div>","PeriodicalId":34738,"journal":{"name":"Smart Energy","volume":"7 ","pages":"Article 100085"},"PeriodicalIF":5.4000,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666955222000235/pdfft?md5=9ea8809ac6ba560e894675d0c91059ac&pid=1-s2.0-S2666955222000235-main.pdf","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Smart Energy","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666955222000235","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 7

Abstract

Large energy companies and energy startups are increasingly focusing their resources to build new businesses concerning smart energy systems (SES). The development and integration of related innovative technologies for green transformation with traditional business models are often hampered, however, by the challenge of parallel management of exploitation of current business areas, and the exploration of new business areas with breakthrough innovation. While knowledge management could be key in this balancing strategy and shifting the organization to a more sustainable future, little is known about the challenges in the context of the energy sector. Applying a comparative case study method at a large energy company and a small energy startup, path dependency is reflected in KMS design in both cases, which could result in a slower shift to new technologies in case of the incumbent, and slower exploitation of the technological innovation in case of the startup. If a partnership is not an option for simulating structural ambidexterity, energy companies could speed up green transformation individually with smart knowledge management systems (SKMS) that support the development of contextual ambidexterity and SES.

Abstract Image

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
智能知识管理推动绿色转型:比较案例研究
大型能源公司和能源创业公司越来越多地将资源集中在智能能源系统(SES)相关的新业务上。然而,绿色转型的相关创新技术与传统商业模式的开发和融合往往受到现有业务领域开发的并行管理和突破性创新的新业务领域探索的挑战。虽然知识管理可能是这种平衡战略的关键,并将组织转变为更可持续的未来,但人们对能源部门面临的挑战知之甚少。通过对一家大型能源公司和一家小型能源初创公司的比较案例研究,两种情况下,路径依赖都反映在KMS设计中,这可能导致既有企业向新技术的转变速度较慢,而初创企业对技术创新的利用速度较慢。如果合作伙伴关系不是模拟结构双灵巧性的一个选择,能源公司可以通过智能知识管理系统(SKMS)单独加速绿色转型,支持上下文双灵巧性和SES的发展。
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
Smart Energy
Smart Energy Engineering-Mechanical Engineering
CiteScore
9.20
自引率
0.00%
发文量
29
审稿时长
73 days
期刊最新文献
Optimization of baseload electricity and hydrogen services by renewables for a nuclear-sized district in South Italy Optimizing solar energy integration in Tallinn's district heating and cooling systems Predictive building energy management with user feedback in the loop Optimal energy management in smart energy systems: A deep reinforcement learning approach and a digital twin case-study Economic viability of decentralised battery storage systems for single-family buildings up to cross-building utilisation
×
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