How German Companies apply Roadmapping: Evidence from an Empirical Study

Schimpf, Sven; Abele, Thomas

doi:10.1016/j.jengtecman.2017.10.001

Cited by 26 publications

(11 citation statements)

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“…The needs may also vary by roadmapping context, such as long-term versus short-term planning, product versus service development, defining versus solving problems, and internal R&D versus collaboration strategies. According to [Schimpf, Abele, 2019], data sources useful for roadmapping include external roadmaps, associations, market analyses, suppliers, customers, users, research organizations and universities, competitors, consulting companies, legislation, journals, and media. Useful public and private data sources for context-specific roadmapping must be studied further.…”

Section: Areas For Future Researchmentioning

confidence: 99%

“…Nevertheless, few previous attempts have been made to address this issue; the few exceptions include the work , which mentions a hybrid method that combines a computer-based approach (considered a data-driven approach in this paper, emphasizing the importance of data) and an expert-based approach, and [Lee et al, 2007], which summarizes the data analysis techniques that can be used at each roadmapping stage. Indeed, the role of data in successful roadmapping has been highlighted in previous studies [Lee et al, 2011;Schimpf, Abele, 2019]. The quantity and quality of information provided to support roadmapping can affect its results.…”

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confidence: 99%

“…Various methods have been applied to support roadmapping, including technology radar, portfolios, creativity methods, strategy maps, balanced scorecards, scenario analyses, quality function development, technology maps, maturity models, regression, and Delphi studies[Schimpf, Abele, 2019].4 Among them are self-driving cars, robots, artificial intelligence, big data, the Internet of Things, mobile technology, virtual reality, blockchain, FinTech, drones, 3D printing, digital healthcare, bio-healthcare, and new materials and energies.…”

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Foresight and STI Governance

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is an international interdisciplinary peer-reviewed openaccess journal. It publishes original research articles, offering new theoretical insights and practice-oriented knowledge in important areas of strategic planning and the creation of science, technology, and innovation (STI) policy, and it examines possible and alternative futures in all human endeavors in order to make such insights available to the right person at the right time to ensure the right decision.The journal acts as a scientific forum, contributing to the interaction between researchers, policy makers, and other actors involved in innovation processes. It encompasses all facets of STI policy and the creation of technological, managerial, product, and social innovations. Foresight and STI Governance welcomes works from scholars based in all parts of the world. Topics covered include:• Foresight methodologies and best practices;• Long-term socioeconomic priorities for strategic planning and policy making;• Innovative strategies at the national, regional, sectoral, and corporate levels;• The development of National Innovation Systems;• The exploration of the innovation lifecycle from idea to market;• Technological trends, breakthroughs, and grand challenges;• Technological change and its implications for economy, policy-making, and society;• Corporate innovation management;• Human capital in STI; and many others.The target audience of the journal comprises research scholars, university professors, postgraduates, policy-makers, business people, the expert community, undergraduates, and others who are interested in S&T and innovation analyses, foresight studies, and policy issues.Foresight and STI Governance is published quarterly and distributed worldwide. It is an open-access electronic journal and is available online for free via: https://foresight-journal.hse.ru/en/ The journal is included into the 1st quartile (Q1) of the Scopus Cite Score Rank in the fields: Economics, Econometrics and Finance (miscellaneous) Decision Sciences (miscellaneous)

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Foresight and STI Governance

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“…Roadmapping has mainly been built upon practices that rely on visualization techniques and human collaboration (interaction and communication) to enhance performance and achieve more effective results for strategic and tactical planning (Phaal et al, 2004(Phaal et al, , 2010Kerr et al, 2012a). However, the digitalization of organizational processes has stimulated the introduction of digital technologies into roadmapping (Schimpf and Abele, 2017). Despite the discussion of the digitalisation concept in academia and industry, it is not simple to find a general definition due to its broad coverage; spanning from specific technologies to new business models (Hess et al, 2016;Lanzolla and Anderson, 2008;McAfee and Brynjolfsson, 2017).…”

Section: Introductionmentioning

confidence: 99%

The Concept of ‘Roadmapping Service’: Exploring Customer Perspectives of Roadmapping through the Service Lens

Oliveira

Routley

Phaal

et al. 2019

Proc. Int. Conf. Eng. Des.

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Roadmapping has been addressed as a management approach used to support strategic and innovation planning of organisations over recent decades. This paper introduces a new standpoint for addressing roadmapping through the application of service theories as a way for tackling the demand for the digitalisation of roadmapping. To this end, the concept of roadmapping as a service offer is developed and employed to analyse three customer perspectives of roadmapping: owners and sponsors, team members, and facilitators. Based on a literature review and interviews with roadmapping experts, customer jobs, pains, and gains are described for each of the perspectives. In the end, the paper provides insights for the understanding of the concept of roadmapping service and opens opportunities for further theoretical and empirical developments around this new path. These results are part of a broader research project exploring the digitalisation of roadmapping.

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“…Nevertheless, few previous attempts have been made to address this issue; the few exceptions include the work [Kostoff, Schaller, 2001], which mentions a hybrid method that combines a computer-based approach (considered a data-driven approach in this paper, emphasizing the importance of data) and an expert-based approach, and [Lee et al, 2007], which summarizes the data analysis techniques that can be used at each roadmapping stage. Indeed, the role of data in successful roadmapping has been highlighted in previous studies [Lee et al, 2011;Schimpf, Abele, 2019]. The quantity and quality of information provided to support roadmapping can affect its results.…”

mentioning

confidence: 99%

Roadmapping in the Era of Uncertainty: How to Integrate Data-Driven Methods with Expert Insights

Lee¹,

Jang²,

Lee³

et al. 2021

Foresight and STI Governance

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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.

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How German Companies apply Roadmapping: Evidence from an Empirical Study

Cited by 26 publications

References 8 publications

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The Concept of ‘Roadmapping Service’: Exploring Customer Perspectives of Roadmapping through the Service Lens

Roadmapping in the Era of Uncertainty: How to Integrate Data-Driven Methods with Expert Insights

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