Pub Date : 2021-09-24DOI: 10.17323/2500-2597.2021.3.94.104
Rita de Cássia de Faria Pereira, I. Bianchi, V. M. Araujo
Many different information technology frameworks have been proposed to assist organizations implementing information technology. However, these frameworks are complex, difficult to implement, and overlap with one another making their simultaneous implementation even more difficult to accomplish by organizations. This study proposes to develop an overlapless maturity model that helps organizations deal with the aforementioned problems. The model was applied and evaluated by experts at five organizations. This approach was recognized as useful, complete, and helpful in a multi-framework implementation by problem management (PM) experts. This research provides contributions for academics since it distinguishes itself from the existing studies in the body of knowledge and is a baseline for further investigation.
{"title":"Multi-Framework Implementation of the Problem Management Process","authors":"Rita de Cássia de Faria Pereira, I. Bianchi, V. M. Araujo","doi":"10.17323/2500-2597.2021.3.94.104","DOIUrl":"https://doi.org/10.17323/2500-2597.2021.3.94.104","url":null,"abstract":"Many different information technology frameworks have been proposed to assist organizations implementing information technology. However, these frameworks are complex, difficult to implement, and overlap with one another making their simultaneous implementation even more difficult to accomplish by organizations. This study proposes to develop an overlapless maturity model that helps organizations deal with the aforementioned problems. The model was applied and evaluated by experts at five organizations. This approach was recognized as useful, complete, and helpful in a multi-framework implementation by problem management (PM) experts. This research provides contributions for academics since it distinguishes itself from the existing studies in the body of knowledge and is a baseline for further investigation.","PeriodicalId":45026,"journal":{"name":"Foresight and STI Governance","volume":" ","pages":""},"PeriodicalIF":1.2,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44945894","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}
Pub Date : 2021-09-24DOI: 10.17323/2500-2597.2021.3.66.80
Rikardo da Sil'va, P. C. Kaminski, Rafael Ortega Marin
The creation of effective innovation ecosystems (IES) at the national or sectoral level remains a difficult and not always feasible task. Basing on evidence from the Brazilian automotive industry, a case of unused opportunities for building a strong IES is considered. This is due to the insensitivity of such ecosystems to new complicated configurations and the formats of non-traditional interaction that they suggest - a “new ecology of competition”, etc. The internal context of companies in relation to the practice of open innovation has been studied. Despite joint projects with close value chain partners, carmakers are showing a closed attitude to external collaboration, unlike players in industries such as aerospace or information and communications technology that gained growth and major transformation by building a broader IES. Only a high demand from the government for creating a strong IES can change the situation.
{"title":"Innovation Ecosystems in the Automotive Industry between Opportunities and Limitations","authors":"Rikardo da Sil'va, P. C. Kaminski, Rafael Ortega Marin","doi":"10.17323/2500-2597.2021.3.66.80","DOIUrl":"https://doi.org/10.17323/2500-2597.2021.3.66.80","url":null,"abstract":"The creation of effective innovation ecosystems (IES) at the national or sectoral level remains a difficult and not always feasible task. Basing on evidence from the Brazilian automotive industry, a case of unused opportunities for building a strong IES is considered. This is due to the insensitivity of such ecosystems to new complicated configurations and the formats of non-traditional interaction that they suggest - a “new ecology of competition”, etc. The internal context of companies in relation to the practice of open innovation has been studied. Despite joint projects with close value chain partners, carmakers are showing a closed attitude to external collaboration, unlike players in industries such as aerospace or information and communications technology that gained growth and major transformation by building a broader IES. Only a high demand from the government for creating a strong IES can change the situation.","PeriodicalId":45026,"journal":{"name":"Foresight and STI Governance","volume":" ","pages":""},"PeriodicalIF":1.2,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48249015","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}
Pub Date : 2021-09-24DOI: 10.17323/2500-2597.2021.3.23.34
E. Balatsky
The subject of this study is the innovation market. To understand the laws of its functioning, this article introduces the concept of a technology frontier. This is understood as the relative productivity of labor (relative to the technological leader – the United States), the achievement of which makes it justified for developing economies to move from large-scale borrowing of foreign new technologies to their development within the country. The purpose of the article is to determine the specified frontier, for which a simple econometric model based on international statistics for 61 countries is proposed. To improve the accuracy of the calculations, countries were clustered into two groups: advanced, for which the technology frontier has been crossed and their own developments of new technologies prevail, and developing, for which the problem of the technology frontier remains important. The current value of the technology frontier is in the region of 70% of labor productivity in the United States. The comparison with previous estimates shows that this value tends to increase, which creates additional difficulties for the transition of catching-up countries from the mode of borrowing to the mode of creating new technologies. Taking into account the technological frontier allows avoiding both an undue delay in the development of proprietary technologies as well as a premature transition to the creation of innovations while ignoring the possibilities of borrowing.
{"title":"Identification of the Technology Frontier","authors":"E. Balatsky","doi":"10.17323/2500-2597.2021.3.23.34","DOIUrl":"https://doi.org/10.17323/2500-2597.2021.3.23.34","url":null,"abstract":"The subject of this study is the innovation market. To understand the laws of its functioning, this article introduces the concept of a technology frontier. This is understood as the relative productivity of labor (relative to the technological leader – the United States), the achievement of which makes it justified for developing economies to move from large-scale borrowing of foreign new technologies to their development within the country. The purpose of the article is to determine the specified frontier, for which a simple econometric model based on international statistics for 61 countries is proposed. To improve the accuracy of the calculations, countries were clustered into two groups: advanced, for which the technology frontier has been crossed and their own developments of new technologies prevail, and developing, for which the problem of the technology frontier remains important. The current value of the technology frontier is in the region of 70% of labor productivity in the United States. The comparison with previous estimates shows that this value tends to increase, which creates additional difficulties for the transition of catching-up countries from the mode of borrowing to the mode of creating new technologies. Taking into account the technological frontier allows avoiding both an undue delay in the development of proprietary technologies as well as a premature transition to the creation of innovations while ignoring the possibilities of borrowing.","PeriodicalId":45026,"journal":{"name":"Foresight and STI Governance","volume":" ","pages":""},"PeriodicalIF":1.2,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47004477","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}
Pub Date : 2021-09-24DOI: 10.17323/2500-2597.2021.3.52.65
D. Klimanov, O. Tretyak, Uri Goren, Timothy White
Creating and developing innovative business models (BM) is currently one of the key success factors for contemporary business. Rapid complex changes in the world reemphasize the need to better understand how BM can be successfully innovated in different markets. The digital component of BM innovation comes under a special spotlight, using the example of a company within the pharmaceutical industry. In particular, this study demonstrates how BM innovation can be developed and implemented in practice within the pharmaceutical market, which accelerates its digital transformation to increase the value it brings to the healthcare systems around the world while sustaining the ongoing crisis. In order to do that, the current paper offers a framework for BM innovation that defines BM elements, BM innovation aspects, and BM innovation logic. The study covers six markets that represent different value creation systems and mechanisms. This paper demonstrates how technological innovations can be activated using managerial tools and insights and also how they can be combined into the holistic system based on the needs of the key value chain actors.
{"title":"Transformation of Value in Innovative Business Models: The Case of Pharmaceutical Market","authors":"D. Klimanov, O. Tretyak, Uri Goren, Timothy White","doi":"10.17323/2500-2597.2021.3.52.65","DOIUrl":"https://doi.org/10.17323/2500-2597.2021.3.52.65","url":null,"abstract":"Creating and developing innovative business models (BM) is currently one of the key success factors for contemporary business. Rapid complex changes in the world reemphasize the need to better understand how BM can be successfully innovated in different markets. The digital component of BM innovation comes under a special spotlight, using the example of a company within the pharmaceutical industry. In particular, this study demonstrates how BM innovation can be developed and implemented in practice within the pharmaceutical market, which accelerates its digital transformation to increase the value it brings to the healthcare systems around the world while sustaining the ongoing crisis. In order to do that, the current paper offers a framework for BM innovation that defines BM elements, BM innovation aspects, and BM innovation logic. The study covers six markets that represent different value creation systems and mechanisms. This paper demonstrates how technological innovations can be activated using managerial tools and insights and also how they can be combined into the holistic system based on the needs of the key value chain actors.","PeriodicalId":45026,"journal":{"name":"Foresight and STI Governance","volume":"1 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41576231","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}
Pub Date : 2021-09-24DOI: 10.17323/2500-2597.2021.3.6.21
Y. Simachev, A. Fedyunina, M. Yurevich, M. Kuzyk, N. Gorodnyi
Advanced Manufacturing (AM) markets are a major factor of contemporary worldwide growth that to a large extent determines countries’ competitiveness. Strengthening and/or optimizing the positions on AM markets is among the major challenges for modern industrial policy. This article discusses the structure and dynamics of the development of advanced manufacturing markets, as well as the specifics of the policies of the countries strengthening their positions in these markets. Gaining entry into AM markets currently implies individual countries’ and industries’ adopting different models which combine a wide range of factors. Small nations are rapidly applying such approaches, gaining advantages and thus increasing their competitive edge, which creates certain challenges for leading high-tech countries too slow to adjust their industrial policies. So far the basis for Industry 4.0 markets is just emerging, and remains limited to a few nations including developing ones. Country cases are presented below to illustrate the development of AM markets. The authors conclude that in the current context, no universal approaches to shaping a successful industrial policy remain. The most productive strategy is to combine the unique advantages of a particular economy.
{"title":"New Strategic Approaches to Gaining from Emerging Advanced Manufacturing Markets","authors":"Y. Simachev, A. Fedyunina, M. Yurevich, M. Kuzyk, N. Gorodnyi","doi":"10.17323/2500-2597.2021.3.6.21","DOIUrl":"https://doi.org/10.17323/2500-2597.2021.3.6.21","url":null,"abstract":"Advanced Manufacturing (AM) markets are a major factor of contemporary worldwide growth that to a large extent determines countries’ competitiveness. Strengthening and/or optimizing the positions on AM markets is among the major challenges for modern industrial policy. This article discusses the structure and dynamics of the development of advanced manufacturing markets, as well as the specifics of the policies of the countries strengthening their positions in these markets. Gaining entry into AM markets currently implies individual countries’ and industries’ adopting different models which combine a wide range of factors. Small nations are rapidly applying such approaches, gaining advantages and thus increasing their competitive edge, which creates certain challenges for leading high-tech countries too slow to adjust their industrial policies. So far the basis for Industry 4.0 markets is just emerging, and remains limited to a few nations including developing ones. Country cases are presented below to illustrate the development of AM markets. The authors conclude that in the current context, no universal approaches to shaping a successful industrial policy remain. The most productive strategy is to combine the unique advantages of a particular economy.","PeriodicalId":45026,"journal":{"name":"Foresight and STI Governance","volume":" ","pages":""},"PeriodicalIF":1.2,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48041407","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}
Pub Date : 2021-09-24DOI: 10.17323/2500-2597.2021.3.35.51
Julia Turovets, L. Proskuryakova, Alena Starodubtseva, V. Bianco
The lasting global economic downturn caused by the COVID-19 pandemic allows decision-makers and societies to re-think the basis and drivers of economic growth, laying the foundation for sustainable development. The green economic recovery takes place with a leading role played by the energy industry. This paper focuses on the application and desired effects of green digital technologies in the electric power industry in ten countries — the largest electricity producers and consumers. The study is designed in the framework of the sectoral innovation systems concept. The research tasks were addressed, first, through horizon scanning (the analysis of research and analytical publications). Second, the green digitialization indicators for the electric power industry in the selected countries were identified with the use of statistical and other available reliable data and compared. Third, a comparative analysis of national strategic documents was performed, along with corporate tasks and indicators that reflect the digital transformation at micro level. As a result of the study, key trends and three models of green digitalization at the national level were identified, the prerequisites and potential social and economic effects of the application of these technologies in electric power industry were described.
{"title":"Green digitalization in the electric power industry","authors":"Julia Turovets, L. Proskuryakova, Alena Starodubtseva, V. Bianco","doi":"10.17323/2500-2597.2021.3.35.51","DOIUrl":"https://doi.org/10.17323/2500-2597.2021.3.35.51","url":null,"abstract":"The lasting global economic downturn caused by the COVID-19 pandemic allows decision-makers and societies to re-think the basis and drivers of economic growth, laying the foundation for sustainable development. The green economic recovery takes place with a leading role played by the energy industry. This paper focuses on the application and desired effects of green digital technologies in the electric power industry in ten countries — the largest electricity producers and consumers. The study is designed in the framework of the sectoral innovation systems concept. The research tasks were addressed, first, through horizon scanning (the analysis of research and analytical publications). Second, the green digitialization indicators for the electric power industry in the selected countries were identified with the use of statistical and other available reliable data and compared. Third, a comparative analysis of national strategic documents was performed, along with corporate tasks and indicators that reflect the digital transformation at micro level. As a result of the study, key trends and three models of green digitalization at the national level were identified, the prerequisites and potential social and economic effects of the application of these technologies in electric power industry were described.","PeriodicalId":45026,"journal":{"name":"Foresight and STI Governance","volume":" ","pages":""},"PeriodicalIF":1.2,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44635416","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}
Pub Date : 2021-06-25DOI: 10.17323/2500-2597.2021.2.12.24
T. Daim, Esraa Bukhari, Dana Bakry, J. VanHuis, Haydar Yalçın, Xiaoli Wang
Identifying technology trends can be a key success factor for companies to be competitive and take advantage of technological trends before they occur. The companies always work to plan for future products and services. For that, it is important to turn to methods that are used for technology forecasting. These tools help the companies to define potential markets for innovative new products and services. This paper uses text mining techniques along with expert judgment to detect and analyze the near-term technology evolution trends in a Software as a Service (SaaS) case study. The longer-term technology development trend in this case is forecasted by analyzing the gaps between science and technology. This paper contributes to the technology forecasting methodology and will be of interest to those in SaaS technology. Our findings reveal five trends in the technology: 1) virtual networking, 2) the hybrid cloud, 3) modeling methodologies, 4) mobile applications, and 5) web applications. Among the results achieved, we can summarize the interesting ones as follows: it is possible to say that traditional information systems are now evolving into online information systems. On the other hand, the use of a licensing model based on subscriptions triggers the change in perpetual licensing models. The product range that has evolved towards mobile technologies has put pressure on information storage technologies and has led to the search for new methods especially in the development of database systems.
{"title":"Forecasting Technology Trends through the Gap Between Science and Technology: The Case of Software as an E-Commerce Service","authors":"T. Daim, Esraa Bukhari, Dana Bakry, J. VanHuis, Haydar Yalçın, Xiaoli Wang","doi":"10.17323/2500-2597.2021.2.12.24","DOIUrl":"https://doi.org/10.17323/2500-2597.2021.2.12.24","url":null,"abstract":"Identifying technology trends can be a key success factor for companies to be competitive and take advantage of technological trends before they occur. The companies always work to plan for future products and services. For that, it is important to turn to methods that are used for technology forecasting. These tools help the companies to define potential markets for innovative new products and services. This paper uses text mining techniques along with expert judgment to detect and analyze the near-term technology evolution trends in a Software as a Service (SaaS) case study. The longer-term technology development trend in this case is forecasted by analyzing the gaps between science and technology. This paper contributes to the technology forecasting methodology and will be of interest to those in SaaS technology. Our findings reveal five trends in the technology: 1) virtual networking, 2) the hybrid cloud, 3) modeling methodologies, 4) mobile applications, and 5) web applications. Among the results achieved, we can summarize the interesting ones as follows: it is possible to say that traditional information systems are now evolving into online information systems. On the other hand, the use of a licensing model based on subscriptions triggers the change in perpetual licensing models. The product range that has evolved towards mobile technologies has put pressure on information storage technologies and has led to the search for new methods especially in the development of database systems.","PeriodicalId":45026,"journal":{"name":"Foresight and STI Governance","volume":" ","pages":""},"PeriodicalIF":1.2,"publicationDate":"2021-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43785286","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}
Pub Date : 2021-06-25DOI: 10.17323/2500-2597.2021.2.39.51
Sungjoon Lee, Kook Jin Jang, Myung Han Lee, Seong Ryong Shin
Roadmapping has long been regarded as a practical tool for supporting decision-making for science and technology innovation and it has received recent attention for its potential use in responses to uncertainty. Indeed, roadmapping enables forward-looking strategy making and thus helps to reduce uncertainty. Accordingly, numerous studies have been conducted to propose new approaches to roadmapping for a wide range of contexts, including the data-driven and expert-based approaches. Although these two main approaches have distinct advantages and disadvantages, few previous studies have focused on how to integrate them into roadmapping to better support decision-making related to science and technology innovation. To address this research gap, this study investigated how to integrate data-driven approaches with expert insights during roadmapping. For this purpose, a workshop-based roadmapping method was combined with data-driven methods to test this approach in the context of technology planning for the automobile industry. An ethnographic approach was used to collect data on when, where, and how data analysis must be conducted to support experts’ discussions. The research findings open a discussion regarding how to integrate data-driven methods with expert insights during roadmapping based on the trade-offs between the two types of data, that is, hard data for data-driven methods and soft data from expert insights, and suggest possible opportunities for future roadmapping developments.
{"title":"Roadmapping in the Era of Uncertainty: How to Integrate Data-Driven Methods with Expert Insights","authors":"Sungjoon Lee, Kook Jin Jang, Myung Han Lee, Seong Ryong Shin","doi":"10.17323/2500-2597.2021.2.39.51","DOIUrl":"https://doi.org/10.17323/2500-2597.2021.2.39.51","url":null,"abstract":"Roadmapping has long been regarded as a practical tool for supporting decision-making for science and technology innovation and it has received recent attention for its potential use in responses to uncertainty. Indeed, roadmapping enables forward-looking strategy making and thus helps to reduce uncertainty. Accordingly, numerous studies have been conducted to propose new approaches to roadmapping for a wide range of contexts, including the data-driven and expert-based approaches. Although these two main approaches have distinct advantages and disadvantages, few previous studies have focused on how to integrate them into roadmapping to better support decision-making related to science and technology innovation. To address this research gap, this study investigated how to integrate data-driven approaches with expert insights during roadmapping. For this purpose, a workshop-based roadmapping method was combined with data-driven methods to test this approach in the context of technology planning for the automobile industry. An ethnographic approach was used to collect data on when, where, and how data analysis must be conducted to support experts’ discussions. The research findings open a discussion regarding how to integrate data-driven methods with expert insights during roadmapping based on the trade-offs between the two types of data, that is, hard data for data-driven methods and soft data from expert insights, and suggest possible opportunities for future roadmapping developments.","PeriodicalId":45026,"journal":{"name":"Foresight and STI Governance","volume":" ","pages":""},"PeriodicalIF":1.2,"publicationDate":"2021-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43800409","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}
Pub Date : 2021-06-25DOI: 10.17323/2500-2597.2021.2.5.11
Y. Kishita
This guest editorial article introduces contextual and theoretical frameworks of foresight and futures studies’ methodology. Outstanding questions relating to methodological development are then addressed. This is followed by an introduction to five papers that make important methodological contributions. The article ends by a call for further research on the questions that have been identified, but remain unanswered.
{"title":"Foresight and Roadmapping Methodology: Trends and Outlook","authors":"Y. Kishita","doi":"10.17323/2500-2597.2021.2.5.11","DOIUrl":"https://doi.org/10.17323/2500-2597.2021.2.5.11","url":null,"abstract":"This guest editorial article introduces contextual and theoretical frameworks of foresight and futures studies’ methodology. Outstanding questions relating to methodological development are then addressed. This is followed by an introduction to five papers that make important methodological contributions. The article ends by a call for further research on the questions that have been identified, but remain unanswered.","PeriodicalId":45026,"journal":{"name":"Foresight and STI Governance","volume":" ","pages":""},"PeriodicalIF":1.2,"publicationDate":"2021-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45231169","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}
Pub Date : 2021-06-25DOI: 10.17323/2500-2597.2021.2.52.64
Hisashi Murata, Kotaro Nakamura, K. Shirahada
This paper proposes a knowledge co-creation roadmapping tool for knowledge creation in future-oriented discussions for members of competing firms with the aim of co-creatively envisioning the future of the industry. This approach adapts the roadmapping method to knowledge creation, thus building a communication infrastructure for discussing future plans beyond an organization (i.e., participants are from competing companies). Knowledge co-creation roadmapping could be commissioned to an open industry organization consisting of members sent by individual companies interested in overcoming obstacles to development. We put our method into practice with the subcommittee of the Engineering Advancement Association of Japan and set the subject as “The Future of Smart Social Infrastructure”, a theme involving multiple stakeholders. We were able to draw up a vision of smart technology on the basis of the insights gained through the roadmapping activities. These results demonstrate the effectiveness of our method in terms of acquiring knowledge that could not be obtained by our own company or a single industry organization alone.
{"title":"Knowledge Co-Creation Roadmapping for Future Industrial Visions: Case Study on Smart Infrastructure","authors":"Hisashi Murata, Kotaro Nakamura, K. Shirahada","doi":"10.17323/2500-2597.2021.2.52.64","DOIUrl":"https://doi.org/10.17323/2500-2597.2021.2.52.64","url":null,"abstract":"This paper proposes a knowledge co-creation roadmapping tool for knowledge creation in future-oriented discussions for members of competing firms with the aim of co-creatively envisioning the future of the industry. This approach adapts the roadmapping method to knowledge creation, thus building a communication infrastructure for discussing future plans beyond an organization (i.e., participants are from competing companies). Knowledge co-creation roadmapping could be commissioned to an open industry organization consisting of members sent by individual companies interested in overcoming obstacles to development. We put our method into practice with the subcommittee of the Engineering Advancement Association of Japan and set the subject as “The Future of Smart Social Infrastructure”, a theme involving multiple stakeholders. We were able to draw up a vision of smart technology on the basis of the insights gained through the roadmapping activities. These results demonstrate the effectiveness of our method in terms of acquiring knowledge that could not be obtained by our own company or a single industry organization alone.","PeriodicalId":45026,"journal":{"name":"Foresight and STI Governance","volume":" ","pages":""},"PeriodicalIF":1.2,"publicationDate":"2021-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44247765","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}
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