Pub Date : 2023-09-03DOI: 10.1080/08956308.2023.2235945
Tammy McCausland
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Pub Date : 2023-09-03DOI: 10.1080/08956308.2023.2234758
Sen Fang, Antonio Moreno Brenes, Stefano Brusoni
This study discusses the readiness of established companies in mature industries to revamp and reorganize their technology intelligence processes as they adapt to digitalization. Technology intelligence is a crucial activity for firms that are trying to keep abreast of rapid technological change. Yet technology intelligence is hardly integrated into companies’ strategic decision-making processes—particularly in manufacturing companies. We explore how the case study firms’ existing processes compare to those of the ICT industry. We discuss the challenges manufacturing companies face regarding their technology intelligence activities, especially in adopting digital technologies and leveraging the potential advantages of digitalization. We provide suggestions to practitioners on how to address these challenges—notably more organized and systematized technology intelligence processes than those we observed in our sample of firms.
{"title":"Technology Intelligence and Digitalization in the Manufacturing Industry","authors":"Sen Fang, Antonio Moreno Brenes, Stefano Brusoni","doi":"10.1080/08956308.2023.2234758","DOIUrl":"https://doi.org/10.1080/08956308.2023.2234758","url":null,"abstract":"This study discusses the readiness of established companies in mature industries to revamp and reorganize their technology intelligence processes as they adapt to digitalization. Technology intelligence is a crucial activity for firms that are trying to keep abreast of rapid technological change. Yet technology intelligence is hardly integrated into companies’ strategic decision-making processes—particularly in manufacturing companies. We explore how the case study firms’ existing processes compare to those of the ICT industry. We discuss the challenges manufacturing companies face regarding their technology intelligence activities, especially in adopting digital technologies and leveraging the potential advantages of digitalization. We provide suggestions to practitioners on how to address these challenges—notably more organized and systematized technology intelligence processes than those we observed in our sample of firms.","PeriodicalId":54489,"journal":{"name":"Research-Technology Management","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134948438","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-03DOI: 10.1080/08956308.2023.2235729
Jim Euchner
"Overdriving Your Headlights." Research-Technology Management, 66(5), pp. 10–11 Additional informationNotes on contributorsJim EuchnerJim Euchner is editor-in-chief of Research-Technology Management. He previously held senior management positions in the leadership of innovation at Goodyear Tire & Rubber Company, Pitney Bowes Corporation, and Bell Atlantic. He holds BS and MS degrees in mechanical and aerospace engineering from Cornell and Princeton Universities, respectively, and an MBA from Southern Methodist University. Jim is the author of Lean Startup in Large Organizations: Overcoming Organizational Resistance (Productivity Press 2022). jeuchner@nam.org
{"title":"Overdriving Your Headlights","authors":"Jim Euchner","doi":"10.1080/08956308.2023.2235729","DOIUrl":"https://doi.org/10.1080/08956308.2023.2235729","url":null,"abstract":"\"Overdriving Your Headlights.\" Research-Technology Management, 66(5), pp. 10–11 Additional informationNotes on contributorsJim EuchnerJim Euchner is editor-in-chief of Research-Technology Management. He previously held senior management positions in the leadership of innovation at Goodyear Tire & Rubber Company, Pitney Bowes Corporation, and Bell Atlantic. He holds BS and MS degrees in mechanical and aerospace engineering from Cornell and Princeton Universities, respectively, and an MBA from Southern Methodist University. Jim is the author of Lean Startup in Large Organizations: Overcoming Organizational Resistance (Productivity Press 2022). jeuchner@nam.org","PeriodicalId":54489,"journal":{"name":"Research-Technology Management","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134948440","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-03DOI: 10.1080/08956308.2023.2235535
Alexander Schmidt, Tom J. M. Mom, Henk W. Volberda
Environmental concerns like climate change are prompting traditional companies such as those in the energy industry to adopt new technologies. Rapid technology adoption is important, especially if companies want to be responsive and at the same time maintain their competitive and strategic advantage. This article explores technology adoption in a traditional multinational energy company. Using a single case study approach, we explore how adoption of technology takes place at manager and employee levels and the implications therein. We identify three important factors—constructive tensions, open innovation, and knowledge standardization—which positively influence the pace of technology adoption. We offer important implications for practitioners involved in technology adoption.
{"title":"Factors Influencing Technology Adoption in a Traditional Multinational Energy Company","authors":"Alexander Schmidt, Tom J. M. Mom, Henk W. Volberda","doi":"10.1080/08956308.2023.2235535","DOIUrl":"https://doi.org/10.1080/08956308.2023.2235535","url":null,"abstract":"Environmental concerns like climate change are prompting traditional companies such as those in the energy industry to adopt new technologies. Rapid technology adoption is important, especially if companies want to be responsive and at the same time maintain their competitive and strategic advantage. This article explores technology adoption in a traditional multinational energy company. Using a single case study approach, we explore how adoption of technology takes place at manager and employee levels and the implications therein. We identify three important factors—constructive tensions, open innovation, and knowledge standardization—which positively influence the pace of technology adoption. We offer important implications for practitioners involved in technology adoption.","PeriodicalId":54489,"journal":{"name":"Research-Technology Management","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134948439","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-03DOI: 10.1080/08956308.2023.2230817
Roger Smith
Click to increase image sizeClick to decrease image size Additional informationNotes on contributorsRoger SmithRoger Smith has served as an executive CTO for AdventHealth Hospital, US Army Simulation, and Titan Corp. A member of RTM’s Board of Editors, Smith has led technology innovation for healthcare, defense, and government projects. He has a PhD in computer science and a doctorate in business administration. rdsmith@modelbenders.com
{"title":"You Need AI on Your Side","authors":"Roger Smith","doi":"10.1080/08956308.2023.2230817","DOIUrl":"https://doi.org/10.1080/08956308.2023.2230817","url":null,"abstract":"Click to increase image sizeClick to decrease image size Additional informationNotes on contributorsRoger SmithRoger Smith has served as an executive CTO for AdventHealth Hospital, US Army Simulation, and Titan Corp. A member of RTM’s Board of Editors, Smith has led technology innovation for healthcare, defense, and government projects. He has a PhD in computer science and a doctorate in business administration. rdsmith@modelbenders.com","PeriodicalId":54489,"journal":{"name":"Research-Technology Management","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134948441","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-03DOI: 10.1080/08956308.2023.2236475
Petra A. Nylund, Xavier Ferràs-Hernández, Alexander Brem
Overview:The extent of knowledge available to society may no longer be limited by human cognition or by refining algorithms. Instead, the interaction of the two may limit knowledge transfer and creation. We examine two behavioral paradoxes: Polanyi’s paradox, which has existed since 1966, and the Trust paradox, which we propose. We study four technology innovations—printing, digitalization, the Internet, and artificial intelligence (AI)—and assess how these paradoxes limit the use of knowledge created by each innovation. We found that while technology has largely overcome Polanyi’s paradox of limiting the transfer of tacit knowledge, the Trust paradox may limit the application of AI-generated knowledge. We identify five relevant drivers of trust—reliability, transparency, association, reciprocity, and accountability—and outline how each impacts and creates challenges for the application of AI.Keywords:: Artificial intelligenceMachine learningTacit knowledgeTrustInnovation Additional informationNotes on contributorsPetra A. NylundPetra A. Nylund is a researcher of strategy and innovation at the Institute of Entrepreneurship and Innovation Science at University of Stuttgart, Germany. She holds a PhD in management from IESE, Barcelona, and an MSc in engineering and business management from KTH, Stockholm. She has created strategies in telecom industries in Africa, Latin America, and Europe. Her recent work centers on ecosystem dynamics in the context of artificial intelligence and its standardization. She also studies the emergence of ecosystems based on other enabling technologies. petra.nylund@eni.uni-stuttgart.deXavier Ferràs-HernándezXavier Ferràs-Hernández is an associate professor of operations management, innovation, and data sciences at ESADE Business School, Spain. He holds a PhD in business management from the University of Barcelona, an MBA from ESADE, and a telecommunications engineering degree from the Polytechnical University of Catalonia. From 2013 to 2018, he was dean of the Faculty of Business and Communication at the University of Vic. Until 2012, he was director of the Centre for Business Innovation at ACCIO (Catalan Agency for Competitiveness) and was responsible for technology transfer policies, R&D, and development of clusters in Catalonia. xavier.ferras@esade.eduAlexander BremAlexander Brem is an endowed chaired professor and institute head with the University of Stuttgart, Stuttgart, Germany. In addition, he is an honorary professor with the University of Southern Denmark, Sønderborg, Denmark. He is an international research associate at DeMontfort University (UK) and an academic committee member of the Center of Technological Innovation, Tsinghua University, Beijing, China. alexander.brem@eni.uni-stuttgart.de
概述:社会可获得的知识范围可能不再受人类认知或精炼算法的限制。相反，两者的相互作用可能会限制知识的转移和创造。我们研究了两种行为悖论:波兰尼悖论，自1966年以来一直存在，以及我们提出的信任悖论。我们研究了四项技术创新——印刷、数字化、互联网和人工智能(AI)——并评估了这些悖论如何限制了每项创新所创造的知识的使用。我们发现，虽然技术在很大程度上克服了波兰尼限制隐性知识转移的悖论，但信任悖论可能会限制人工智能生成知识的应用。我们确定了五个相关的驱动因素——可靠性、透明度、关联、互惠和问责制——并概述了它们如何影响人工智能的应用并为其带来挑战。关键词:人工智能机器学习隐性知识信任创新补充信息作者说明佩特拉·a·尼伦德佩特拉·a·尼伦德是德国斯图加特大学创业与创新科学研究所战略与创新研究员。她拥有巴塞罗那IESE大学的管理学博士学位，以及斯德哥尔摩KTH大学的工程和商业管理硕士学位。她在非洲、拉丁美洲和欧洲的电信行业制定了战略。她最近的工作集中在人工智能及其标准化背景下的生态系统动力学。她还研究了基于其他赋能技术的生态系统的出现。petra.nylund@eni.uni-stuttgart.deXavier Ferràs-HernándezXavier Ferràs-Hernández，西班牙ESADE商学院运营管理、创新和数据科学副教授。他持有the University of Barcelona的工商管理博士学位、ESADE的工商管理硕士学位和the Polytechnical University of Catalonia的电信工程学位。2013年至2018年，他担任维克大学商业与传播学院院长。2012年之前，他一直担任ACCIO(加泰罗尼亚竞争力局)商业创新中心主任，负责加泰罗尼亚的技术转移政策、研发和集群发展。xavier.ferras@esade.eduAlexander亚历山大·布莱姆是德国斯图加特大学的特聘教授和研究所所长。此外，他还是丹麦南德堡大学的名誉教授。他是英国德蒙特福特大学(DeMontfort University)的国际研究员，也是中国北京清华大学技术创新中心学术委员会成员。alexander.brem@eni.uni-stuttgart.de
{"title":"A Trust Paradox May Limit the Application of Al-Generated Knowledge","authors":"Petra A. Nylund, Xavier Ferràs-Hernández, Alexander Brem","doi":"10.1080/08956308.2023.2236475","DOIUrl":"https://doi.org/10.1080/08956308.2023.2236475","url":null,"abstract":"Overview:The extent of knowledge available to society may no longer be limited by human cognition or by refining algorithms. Instead, the interaction of the two may limit knowledge transfer and creation. We examine two behavioral paradoxes: Polanyi’s paradox, which has existed since 1966, and the Trust paradox, which we propose. We study four technology innovations—printing, digitalization, the Internet, and artificial intelligence (AI)—and assess how these paradoxes limit the use of knowledge created by each innovation. We found that while technology has largely overcome Polanyi’s paradox of limiting the transfer of tacit knowledge, the Trust paradox may limit the application of AI-generated knowledge. We identify five relevant drivers of trust—reliability, transparency, association, reciprocity, and accountability—and outline how each impacts and creates challenges for the application of AI.Keywords:: Artificial intelligenceMachine learningTacit knowledgeTrustInnovation Additional informationNotes on contributorsPetra A. NylundPetra A. Nylund is a researcher of strategy and innovation at the Institute of Entrepreneurship and Innovation Science at University of Stuttgart, Germany. She holds a PhD in management from IESE, Barcelona, and an MSc in engineering and business management from KTH, Stockholm. She has created strategies in telecom industries in Africa, Latin America, and Europe. Her recent work centers on ecosystem dynamics in the context of artificial intelligence and its standardization. She also studies the emergence of ecosystems based on other enabling technologies. petra.nylund@eni.uni-stuttgart.deXavier Ferràs-HernándezXavier Ferràs-Hernández is an associate professor of operations management, innovation, and data sciences at ESADE Business School, Spain. He holds a PhD in business management from the University of Barcelona, an MBA from ESADE, and a telecommunications engineering degree from the Polytechnical University of Catalonia. From 2013 to 2018, he was dean of the Faculty of Business and Communication at the University of Vic. Until 2012, he was director of the Centre for Business Innovation at ACCIO (Catalan Agency for Competitiveness) and was responsible for technology transfer policies, R&D, and development of clusters in Catalonia. xavier.ferras@esade.eduAlexander BremAlexander Brem is an endowed chaired professor and institute head with the University of Stuttgart, Stuttgart, Germany. In addition, he is an honorary professor with the University of Southern Denmark, Sønderborg, Denmark. He is an international research associate at DeMontfort University (UK) and an academic committee member of the Center of Technological Innovation, Tsinghua University, Beijing, China. alexander.brem@eni.uni-stuttgart.de","PeriodicalId":54489,"journal":{"name":"Research-Technology Management","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134948616","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-03DOI: 10.1080/08956308.2023.2235554
Tammy McCausland
Click to increase image sizeClick to decrease image size Additional informationNotes on contributorsTammy McCauslandIn this space, we offer a series of summaries on key topics, with pointers to important resources, to keep you informed of new developments and help you expand your repertoire of tools and ideas. We welcome your contributions, in the form of suggestions for topics and of column submissions.
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Pub Date : 2023-09-03DOI: 10.1080/08956308.2023.2230802
Uri Levine, Jim Euchner
Click to increase image sizeClick to decrease image size Additional informationNotes on contributorsUri LevineUri Levine is a passionate entrepreneur, a twice–“unicorn” builder (duocorn), and the author of Fall in Love with the Problem, Not the Solution: A Handbook for Entrepreneurs. He is cofounder of Waze, the world’s largest community-based driving traffic and navigation app, which Google acquired for $1.1 billion in 2013. He’s also a former investor and board member in Moovit, which Intel acquired for $1 billion in 2020. His vision is building startups that are doing good and doing well, focusing on solving problems, and changing the world for the better. He has been in the high-tech business for the last 40 years, more than half of the time in the startup scene. He has served as co-founder, chair, or board member of Pontera (formerly FeeX), FairFly, SeeTree, Fibo, Dynamo, and Kahun.Jim EuchnerJim Euchner is editor-in-chief of Research-Technology Management and Honorary Professor at Aston University (UK). He previously held senior management positions in innovation leadership at Goodyear Tire and Rubber Company, Pitney Bowes, and Bell Atlantic. He holds BS and MS degrees in mechanical and aerospace engineering from Cornell and Princeton Universities, respectively, and an MBA from Southern Methodist University. He is the author of Lean Startup in Large Organizations. jeuchner@nam.org
点击放大图片大小点击缩小图片大小附加信息关于贡献者的说明uri Levine uri Levine是一个充满激情的企业家，两次“独角兽”的建设者(双角兽)，以及《爱上问题，而不是解决方案:企业家手册》的作者。他是Waze的联合创始人，Waze是世界上最大的以社区为基础的驾驶交通和导航应用程序，b谷歌于2013年以11亿美元的价格收购了Waze。他也是Moovit的前投资者和董事会成员，该公司于2020年被英特尔以10亿美元收购。他的愿景是建立做得好的创业公司，专注于解决问题，让世界变得更美好。在过去的40年里，他一直从事高科技行业，一半以上的时间都在创业领域。他曾担任Pontera(前FeeX)、FairFly、SeeTree、Fibo、Dynamo和Kahun的联合创始人、主席或董事会成员。Jim Euchner，英国阿斯顿大学(Aston University)名誉教授，《研究技术管理》杂志主编。他曾在Goodyear Tire and Rubber Company、Pitney Bowes和Bell Atlantic担任创新领导高级管理职务。他分别拥有康奈尔大学和普林斯顿大学的机械和航空航天工程学士学位和硕士学位，以及南卫理公会大学的MBA学位。他是《大型组织中的精益创业》一书的作者。jeuchner@nam.org
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Pub Date : 2023-06-26DOI: 10.1080/08956308.2023.2210125
{"title":"Elizabeth J. Altman: The Intersection of Industry and Academia","authors":"","doi":"10.1080/08956308.2023.2210125","DOIUrl":"https://doi.org/10.1080/08956308.2023.2210125","url":null,"abstract":"","PeriodicalId":54489,"journal":{"name":"Research-Technology Management","volume":"12 1","pages":"56 - 56"},"PeriodicalIF":2.2,"publicationDate":"2023-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86472522","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-26DOI: 10.1080/08956308.2023.2211898
Tammy McCausland
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