Please use this identifier to cite or link to this item: http://hdl.handle.net/11718/25914
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dc.contributor.authorDhar, Suparna
dc.contributor.authorTarafdar, Pratik
dc.contributor.authorBose, Indranil
dc.date.accessioned2022-12-07T06:33:54Z
dc.date.available2022-12-07T06:33:54Z
dc.date.issued2022-12
dc.identifier.citationDhar, S., Tarafdar, P., & Bose, I. (2022). Understanding the evolution of an emerging technological paradigm and its impact: The case of Digital Twin. Technological Forecasting and Social Change, 185, 122098. https://doi.org/10.1016/J.TECHFORE.2022.122098en_US
dc.identifier.issn0040-1625
dc.identifier.urihttp://hdl.handle.net/11718/25914
dc.description.abstractThe interest of the academic and practitioner communities on the topic of Digital Twin has grown substantially in recent years. Bibliometric analysis can serve as a useful tool to explore the roadmap of the Digital Twin across various emergent themes over time. In this paper, we compare and analyze 1270 news articles and 4036 research publications to assess the evolution of the Digital Twin paradigm according to these sources from 2016 to 2021. We apply topic modeling and sentiment analysis on the textual corpora. Our analysis shows that certain topics related to applications, simulation, and enabling technologies for Digital Twin find greater coverage and generate higher positivity over time. We ascertain the coevolution and divergence in the number and sentiment of topics through curve matching metrics and determine whether they can rouse consumer interest, captured through online search trends. Our regression analysis shows that news on applications of Digital Twin and research on process evaluation through real-time simulation significantly impact the search frequency of consumers. Our research helps the digital product and service providers to understand the academia-industry gap in their effort to investigate Digital Twin and guides them on steps to take and themes to pursue for generating consumer interest.en_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofTechnological Forecasting and Social Changeen_US
dc.subjectBibliometric analysisen_US
dc.subjectCurve matchingen_US
dc.subjectDigital Twinen_US
dc.subjectSearch trendsen_US
dc.subjectSentiment analysisen_US
dc.subjectTopic modelingen_US
dc.titleUnderstanding the evolution of an emerging technological paradigm and its impact: The case of Digital Twinen_US
dc.typeArticleen_US
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