{"title":"设计驱动的前瞻性通过体验式学习支持战略阐述的潜力","authors":"Luca Simeone , Beatrice D'Ippolito","doi":"10.1016/j.lrp.2021.102181","DOIUrl":null,"url":null,"abstract":"<div><p>The turn of the 21st century has seen the burst of research on how design can support strategy formation and execution; however, little attention has been placed on the emerging field of design-driven foresight, that is the combined adoption of design and foresight methods to generate more immersive, experiential, and engaging representations of the future and inform strategy-making. This paper further unpacks this domain by examining the mechanisms that connect design-driven foresight with strategy articulation through relying on experiential learning. By drawing on a three-year research and innovation project, we illustrate how the relevant stakeholders make use of design-driven foresight processes while co-creating some interactive technologies needed to support crowdsourced curatorial processes in cultural heritage. The empirical evidence suggests how design-driven foresight, through co-creation workshops, can support experiential learning in the form of three distinct processes: favouring knowledge translation mechanisms, creating a safe space for learning-by-doing, and facilitating a multi-stakeholder conversation anchored to material and tangible work embedded in design artefacts. In turn, experiential learning can support processes of strategy articulation that emerge while stakeholders tinker with multiple exploitation pathways and progress through alternating phases of convergent and divergent thinking. Finally, it is argued that the plasticity and openness of design artefacts adopted in the context of foresight support forms of learning that will eventually foster processes of strategy articulation.</p></div>","PeriodicalId":18141,"journal":{"name":"Long Range Planning","volume":"55 6","pages":"Article 102181"},"PeriodicalIF":7.4000,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"The potential of design-driven foresight to support strategy articulation through experiential learning\",\"authors\":\"Luca Simeone , Beatrice D'Ippolito\",\"doi\":\"10.1016/j.lrp.2021.102181\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>The turn of the 21st century has seen the burst of research on how design can support strategy formation and execution; however, little attention has been placed on the emerging field of design-driven foresight, that is the combined adoption of design and foresight methods to generate more immersive, experiential, and engaging representations of the future and inform strategy-making. This paper further unpacks this domain by examining the mechanisms that connect design-driven foresight with strategy articulation through relying on experiential learning. By drawing on a three-year research and innovation project, we illustrate how the relevant stakeholders make use of design-driven foresight processes while co-creating some interactive technologies needed to support crowdsourced curatorial processes in cultural heritage. The empirical evidence suggests how design-driven foresight, through co-creation workshops, can support experiential learning in the form of three distinct processes: favouring knowledge translation mechanisms, creating a safe space for learning-by-doing, and facilitating a multi-stakeholder conversation anchored to material and tangible work embedded in design artefacts. In turn, experiential learning can support processes of strategy articulation that emerge while stakeholders tinker with multiple exploitation pathways and progress through alternating phases of convergent and divergent thinking. Finally, it is argued that the plasticity and openness of design artefacts adopted in the context of foresight support forms of learning that will eventually foster processes of strategy articulation.</p></div>\",\"PeriodicalId\":18141,\"journal\":{\"name\":\"Long Range Planning\",\"volume\":\"55 6\",\"pages\":\"Article 102181\"},\"PeriodicalIF\":7.4000,\"publicationDate\":\"2022-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Long Range Planning\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0024630121001126\",\"RegionNum\":2,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"BUSINESS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Long Range Planning","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0024630121001126","RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS","Score":null,"Total":0}
The potential of design-driven foresight to support strategy articulation through experiential learning
The turn of the 21st century has seen the burst of research on how design can support strategy formation and execution; however, little attention has been placed on the emerging field of design-driven foresight, that is the combined adoption of design and foresight methods to generate more immersive, experiential, and engaging representations of the future and inform strategy-making. This paper further unpacks this domain by examining the mechanisms that connect design-driven foresight with strategy articulation through relying on experiential learning. By drawing on a three-year research and innovation project, we illustrate how the relevant stakeholders make use of design-driven foresight processes while co-creating some interactive technologies needed to support crowdsourced curatorial processes in cultural heritage. The empirical evidence suggests how design-driven foresight, through co-creation workshops, can support experiential learning in the form of three distinct processes: favouring knowledge translation mechanisms, creating a safe space for learning-by-doing, and facilitating a multi-stakeholder conversation anchored to material and tangible work embedded in design artefacts. In turn, experiential learning can support processes of strategy articulation that emerge while stakeholders tinker with multiple exploitation pathways and progress through alternating phases of convergent and divergent thinking. Finally, it is argued that the plasticity and openness of design artefacts adopted in the context of foresight support forms of learning that will eventually foster processes of strategy articulation.
期刊介绍:
Long Range Planning (LRP) is an internationally renowned journal specializing in the field of strategic management. Since its establishment in 1968, the journal has consistently published original research, garnering a strong reputation among academics. LRP actively encourages the submission of articles that involve empirical research and theoretical perspectives, including studies that provide critical assessments and analysis of the current state of knowledge in crucial strategic areas. The primary user base of LRP primarily comprises individuals from academic backgrounds, with the journal playing a dual role within this community. Firstly, it serves as a platform for the dissemination of research findings among academic researchers. Secondly, it serves as a channel for the transmission of ideas that can be effectively utilized in educational settings. The articles published in LRP cater to a diverse audience, including practicing managers and students in professional programs. While some articles may focus on practical applications, others may primarily target academic researchers. LRP adopts an inclusive approach to empirical research, accepting studies that draw on various methodologies such as primary survey data, archival data, case studies, and recognized approaches to data collection.