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Narratives from Commercial, Business-Focused, Industrial Reports and Articles on Quantum Technology

Type
conference paper
Date Issued
2024
Author(s)
Charles Ma  
;
Miriam Meckel  
;
Léa Steinacker
;
Gina-Maria Pöhlmann  
Abstract
Quantum technology is a rapidly developing field with potential impacts on several industries. While the discourse on the business and commercial aspects of quantum technology can profoundly affect its development, this domain remains insufficiently examined. Our study uses BERTopic, a new topic modeling method based on transformers that captures word relationships and contexts, to extract and analyze topics from a large corpus of industry reports and papers written in English on the business and commercial aspects of quantum technology. We supplement topic modeling with sentiment and emotion analysis also using transformerbased models for greater insights on the discourse. The analysis shows narratives dominated by a sense of urgency and competition, with terms like "quantum advantage" and "quantum supremacy" being frequently used, and a generally neutral or optimistic tone in sentiment and emotion analysis. While we observe a current lack of effective metaphors and critical perspectives on quantum technology, there are some emerging topics, such as "Quantum Ethics" and "Sustainability Climate Change", that reflect the evolution of the discourse. Our work demonstrates the potential of transformer-based models for content analysis and can inform managers and stakeholders of relevant narratives to make informed, responsible decisions about quantum technology.
Language
English (United States)
Keywords
Quantum Technology
BERTopic
Narratives
Sentiment Analysis
Business Commercial Sector
Event Title
Academy of Management
Event Location
Chicago
Event Date
August 2024
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/120220
Subject(s)

social sciences

Division(s)

MCM -Institute for Me...

File(s)
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Thumbnail Image

open.access

Name

AoM 2024 10189.pdf

Size

2.72 MB

Format

Adobe PDF

Checksum (MD5)

5cb6bdca001801d44d6272ccbe7a720f

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