Open radar groups: The integration of online communities into open foresight processes

Zeng, Michael; Koller, Hans; Jahn, Reimo

doi:10.1016/j.techfore.2018.08.022

Cited by 14 publications

(12 citation statements)

References 58 publications

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“…Delving deeper into external search and the topic of open foresight, previous research into the subject has highlighted the potential in making use of social networks [2], analyzed specific platforms such as Twitter [21] and online communities ( [43], [44]), and integrated specific platforms with more traditional foresight methods [44]. We build upon these contributions by showing how a multiplatform approach can be applied for external search and open foresight based on which different platforms and their associated potential can be systematically assessed.…”

Section: Discussionmentioning

confidence: 99%

“…Contributions to open foresight have highlighted the potential of digital data drawn from online social networks for the purpose of generating foresight [2]. As a consequence, the field has come to utilize online platforms based on which future-oriented discussions have been captured and analyzed ( [18], [43], [44]).…”

Section: A Open Foresightmentioning

confidence: 99%

“…Golson and Bohn [18] examined how the specific platform of Twitter could be used for the purpose of open foresight. Among more recent contributions, Zeng [43] illustrated how online communities could be utilized to integrate community members in open foresight and Zeng et al [44] developed a pragmatic open foresight process in which both experts and online communities took part. Interestingly, this study [43] showed that online communities are as useful for foresight purposes as field experts.…”

Section: A Open Foresightmentioning

confidence: 99%

“…For more information, see https://creativecommons.org/licenses/by/4.0/ entries in social media, we describe and document how SMA can be employed. By doing so, this article contributes to the literature on external search and specifically research on open foresight (e.g., [2], [18], [43], [44]) in three ways. First, by presenting how SMA that is a multiplatform approach spanning across Twitter, Instagram, Facebook, blogs, and forums can be applied for open foresight.…”

Section: Introductionmentioning

confidence: 99%

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Social Media Analytics as an Enabler for External Search and Open Foresight—The Case of Tesla's Autopilot and Regulatory Scrutiny of Autonomous Driving

Laurell¹,

Sandström²

2022

IEEE Trans. Eng. Manage.

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External search for knowledge and foresight have become strategically important activities for firms in an increasingly uncertain and complex business environment. Novel methods to monitor development are therefore essential for both firms and scholars. This article illustrates how firms can apply one such novel method called Social Media Analytics, a multiplatform approach incorporating multiple external sources drawn from Web 2.0, that enable external search for knowledge but simultaneously avoid information overload. To illustrate the potential of the method, this article draws upon a dataset spanning 36 months from August 2016 to August 2019 and 100 283 publicly posted user-generated contents concerning Tesla to analyze their autopilot and the controversies surrounding autonomous driving. The results show that indications of the regulatory scrutiny Tesla's driverless technology faced in 2019 could be seen in the data across several platforms at an early point and that these signals became stronger over time, especially on blogs and Facebook which exhibited strong indications of future regulatory scrutiny in contrast to Twitter and Instagram. Our results underscore the potential of the Social Media Analytics for external search for knowledge and open foresight that enable firms to tune in to weak signals and scan the periphery.

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Section: Discussionmentioning

confidence: 99%

Section: A Open Foresightmentioning

confidence: 99%

Section: A Open Foresightmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Social Media Analytics as an Enabler for External Search and Open Foresight—The Case of Tesla's Autopilot and Regulatory Scrutiny of Autonomous Driving

Laurell¹,

Sandström²

2022

IEEE Trans. Eng. Manage.

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“…The two workshops were organised as face-to-face brainstorming sessions in small groups of experts (in world-cafe style) each of them focusing on a particular topic under the guidance of a moderator (Krueger and Casey 2015 ). The interaction among participants was organised to be open-minded, with undirected atmosphere to facilitate the generation of fast-result insights (Zeng et al 2019 ). Each workshop involved a sub-set of the experts according to the specific topics and aim of analysis.…”

Section: Methodsmentioning

confidence: 99%

Paths to Innovation in Supply Chains: The Landscape of Future Research

Fornasiero¹,

Marchiori²,

Pessot

et al. 2021

Lecture Notes in Management and Industrial Engineering

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This chapter presents a Strategic Research and Innovation Agenda for supply chain and it is the result of an intensive work jointly performed involving a wide network of stakeholders from discrete manufacturing, process industry and logistics sector to put forward a vision to strengthen European Supply Chains for the next decade. The work is based on matching visions from literature and from experts with several iterations between desk research and workshops, focus groups and interviews. The result is a detailed analysis of the supply chain strategies identified as most relevant for the next years and definition of the related research and innovation topics as future developments and steps for the full implementation of the strategies, thus proposing innovative and cutting-edge actions to be implemented based on technological development and organisational change.

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Unveiling the Challenges of Future Supply Chains: An Explorative Analysis

Gürbüz

Muerza

Marchiori

et al. 2021

Lecture Notes in Management and Industrial Engineering

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This chapter focuses on the identification of challenges that supply chains of the future will most likely face. The primary input in this process are the potential optimistic/pessimistic/intermediate future scenarios based on trends within political, economic, social, technological, legal, and environmental dimensions. Based on such input, we present a list of major challenges/opportunities in relation to the design and operations of Supply Chains (SCs) in the near future. The preliminary list is calibrated and validated based on the input from industry stakeholders (to account for the perspectives of different supply chain actors such as buyers, suppliers, policy makers, and supply chain facilitators) in order to make sure that these challenges are indeed of practical relevance and grounded in reality. The aforementioned challenges are aggregated into several clusters aiming at providing decision makers with a tool that would enable them to quickly and easily spot the relevant challenges and take proper actions to mitigate any potential risk.

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Open radar groups: The integration of online communities into open foresight processes

Cited by 14 publications

References 58 publications

Social Media Analytics as an Enabler for External Search and Open Foresight—The Case of Tesla's Autopilot and Regulatory Scrutiny of Autonomous Driving

Social Media Analytics as an Enabler for External Search and Open Foresight—The Case of Tesla's Autopilot and Regulatory Scrutiny of Autonomous Driving

Paths to Innovation in Supply Chains: The Landscape of Future Research

Unveiling the Challenges of Future Supply Chains: An Explorative Analysis

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