Value creation in emerging technologies through text mining: the case of blockchain

ABSTRACT

As technology progresses, organisations must understand where to direct their value-creating efforts to achieve or sustain competitive advantage. This is even more true in the case of emerging technologies, where innovative activities often focus on achieving a technology promise while overlooking a set of technological, operational, organisational and user-related problems that must be overcome before the technology can fulfil this promise. Through an innovative application of text-mining, this paper develops a practical methodology to identify a range of problems related to a technological field in an unsupervised manner, that may benefit firms, researchers and policymakers. We apply the methodology to the field of blockchain and compare it to traditional literature reviews.

KEYWORDS:

• Sentiment analysis
• value creation
• emerging technology
• blockchain

Disclosure statement

No potential conflict of interest was reported by the author(s).

Data availability statement

The data that support the findings of this study are openly available in figshare at https://figshare.com/articles/value_creation_blockchain_data/11398305, doi:10.6084/m9.figshare.11398305

Notes

1 The code is found on git-hub at https://github.com/FilippoChiarello/scientific-paper-analysis

2 https://dev.elsevier.com/.

Additional information

Notes on contributors

Filippo Chiarello

Filippo Chiarello is an Assistant professor at the School of Engineering, University of Pisa. His research focuses on the use of Natural Language Processing techniques for studying technological and HR-related phenomena.

Paola Belingheri

Paola Belingheri is an Assistant professor at the School of Engineering, University of Pisa. Her research focuses on markets for technology, and innovation ecosystems in the context of smart cities.

Andrea Bonaccorsi

Andrea Bonaccorsi is a Full Professor of Economics and Management at the School of Engineering of the University of Pisa. He has authored in the most important journals in Economics of Science and Technology, Innovation Policy, Research Metrics and Evaluation and is ranked among the top 2% world scientists according to PLoS ONE.

Gualtiero Fantoni

Gualtiero Fantoni is an Associate professor at the School of Engineering, University of Pisa. His research focuses on data science and its applications for management practice. He coordinates several European projects on skills mapping and evaluation. He is co-founder of several university spin-offs in the fields of technology foresight and IoT.

Antonella Martini

Antonella Martini, PhD is a Full Professor of Business Economics and Strategic Analysis at the School of Engineering, University of Pisa. She is also President of CIMEA for academic mobility and equivalence. Her research interests include organisational ambidexterity, competitive intelligence, and strategic foresight. She has published in, among others: California Management Review, Technological Forecasting and Social Change, Long Range Planning, Journal of Business Research and International Journal of Management Reviews.