Metodología para la definición de tendencias de aplicación en tecnologías emergentesBlockchain como caso de estudio

  1. García-Pastor, Imanol
  2. Sánchez-Fuente, Francisco
  3. Otegi-Olaso, Jose-Ramón
Revista:
Revista española de documentación científica

ISSN: 0210-0614,  1988-4621

Año de publicación: 2021

Volumen: 44

Número: 4

Tipo: Artículo

DOI: 10.3989/REDC.2021.4.1771 DIALNET GOOGLE SCHOLAR lock_openAcceso abierto editor

Otras publicaciones en: Revista española de documentación científica

Resumen

The rate at which new emerging technologies are appearing has been increasing in recent times. This is an opportunity for those organizations that detect them and adapt early, but a threat in the case where they are overlooked due to unawareness of their appearance. The first indicators of the emergence of a new technology are derived from academic production, however, the methods for detecting these indicators are based on retrospective bibliographic analysis that does not allow the direct identification of new areas of application. This work develops a methodology for establishing trends in the potential applications of a new technology based on the results of bibliometric analysis. Such methodology has been contrasted in the concept of blockchain as an emerging technology with a high capacity for disruption.

Referencias bibliográficas

  • Aguillo, I. F. (2012). Is Google Scholar useful for bibliometrics? A webometric analysis. Scientometrics, 91(2), 343-351. https://doi.org/10.1007/s11192-011-0582-8
  • Ahram, T., Sargolzaei, A., Sargolzaei, S., Daniels, J., Amaba, B. (2017). Blockchain technology innovations. 2017 IEEE Technology & Engineering Management Conference (TEMSCON), 137-141. https://doi.org/10.1109/TEMSCON.2017.7998367
  • Alves, A. D., Yanasse, H. H., Soma, N. Y. (2016). An analysis of bibliometric indicators to JCR according to Benford's law. Scientometrics, 107(3), 1489-1499. https://doi.org/10.1007/s11192-016-1908-3
  • PMid:27239080 PMCid:PMC4865528
  • Ammar, M., Russello, G., Crispo, B. (2018). Internet of Things: A survey on the security of IoT frameworks. Journal of Information Security and Applications, 38, 8-27. https://doi.org/10.1016/j.jisa.2017.11.002
  • Bartoletti, M., Pompianu, L. (2017). An Empirical Analysis of Smart Contracts: Platforms, Applications, and Design Patterns. En M. Brenner, K. Rohloff, J. Bonneau, A. Miller, P. Y. A. Ryan, V. Teague, A. Bracciali, M. Sala, F. Pintore, y M. Jakobsson (Eds.), Financial Cryptography and Data Security 10323, 494-509). Springer International Publishing. https://doi.org/10.1007/978-3-319-70278-0_31
  • Berka, P., Rauch, J. (2014). Machine Learning and Association Rules. 31.
  • Bollinger, A. S., Smith, R. D. (2001). Managing organizational knowledge as a strategic asset. Journal of Knowledge Management, 5(1), 8-18. https://doi.org/10.1108/13673270110384365
  • Bontis, N., Nikitopoulos, D. (2001). Thought leadership on intellectual capital. Journal of Intellectual Capital, 2(3), 183-191. https://doi.org/10.1108/14691930110400182
  • Boucher, P., Nascimento, S., Kritikos, M. (2017). How blockchain technology could change our lives (PE 581.948). EPRS European Parlamientary Research Service.
  • Casino, F., Dasaklis, T. K., Patsakis, C. (2019). A systematic literature review of blockchain-based applications: Current status, classification and open issues. Telematics and Informatics, 36, 55-81. https://doi.org/10.1016/j.tele.2018.11.006
  • Chapman, P., Clinton, J., Kerber, R., Khabaza, T., Reinartz, T., Shearer, C., Wirth, R. (2000). Step-by-step data mining guide. 76.
  • Chartered Accountants. (2016). The Future of Blockchain: Aplications and implications of distributed ledger technology. Deloitte. http://charteredaccountantsanz.com/futureinc
  • Conoscenti, M., Vetro, A., De Martin, J. C. (2016). Blockchain for the Internet of Things: A systematic literature review. 2016 IEEE/ACS 13th International Conference of Computer Systems and Applications (AICCSA), 1-6. https://doi.org/10.1109/AICCSA.2016.7945805
  • Conte de Leon, D., Stalick, A. Q., Jillepalli, A. A., Haney, M. A., Sheldon, F. T. (2017). Blockchain: Properties and misconceptions. Asia Pacific Journal of Innovation and Entrepreneurship, 11(3), 286-300. https://doi.org/10.1108/APJIE-12-2017-034
  • Dorri, A., Kanhere, S. S., Jurdak, R. (2016). Blockchain in Internet of Things: Challenges and Solutions. 13.
  • Dr Garrick Hileman, Michel Rauchs. (2017). Global Blockchain Benchmarking Study. Cambridge Centre for Alternative Finance, University of Cambridge. https://doi.org/10.2139/ssrn.3040224
  • Edvinsson, L. (2013). IC 21: Reflections from 21 years of IC practice and theory. Journal of Intellectual Capital, 14(1), 163-172. https://doi.org/10.1108/14691931311289075
  • Fayyad, U. Piatetsky-Shapiro, G.; Smyth, P. (1996). From Data Mining to Knowledge Discovery in Databases. American Association for Artificial Intelligence, 18. https://doi.org/10.1007/3-540-61286-6_131
  • Gutiérrez-Nieto, B.; Serrano-Cinca, C. (2019). 20 years of research in microfinance: An information management approach. International Journal of Information Management, 47, 183-197. https://doi.org/10.1016/j.ijinfomgt.2019.01.001
  • Harzing, A.-W.; Alakangas, S. (2016). Google Scholar, Scopus and the Web of Science: A longitudinal and cross-disciplinary comparison. Scientometrics, 106(2), 787-804. https://doi.org/10.1007/s11192-015-1798-9
  • Kogabayev, T.; Maziliauskas, A. (2017). The definition and classification of innovation. HOLISTICA - Journal of Business and Public Administration, 8(1), 59-72. https://doi.org/10.1515/hjbpa-2017-0005
  • López-Robles, J. R.;, Otegi-Olaso, J. R., Porto Gómez, I.; Cobo, M. J. (2019). 30 years of intelligence models in management and business: A bibliometric review. International Journal of Information Management, 48, 22-38. https://doi.org/10.1016/j.ijinfomgt.2019.01.013
  • Michalisin, M. D., Smith, R. D.; Kline, D. M. (1997). In search of strategic assets. The International Journal of Organizational Analysis, 5(4), 360-387. https://doi.org/10.1108/eb028874
  • Müller, C.; Hasic, D. (2016). Blockchain: Technology and Applications.
  • North, K.; Kumta, G. (2018). Knowledge Management. Springer International Publishing. https://doi.org/10.1007/978-3-319-59978-6
  • Opsahl, T., Agneessens, F.; Skvoretz, J. (2010). Node centrality in weighted networks: Generalizing degree and shortest paths. Social Networks, 32(3), 245-251. https://doi.org/10.1016/j.socnet.2010.03.006
  • Sveiby, K. E. (1997). The new organizational wealth: Managing & measuring knowledge-based assets (1st ed). Berrett-Koehler Publishers.
  • Xi, S. M.; Cho, Y. I. (2012). Comparison of Application Effect of Natural Language Processing Techniques for Information Retrieval. Journal of Institute of Control, Robotics and Systems, 18(11), 1059-1064. https://doi.org/10.5302/J.ICROS.2012.18.11.1059
  • Zinoviev, D. (2018). Complex Network Analysis in Python. The Pragmatic Programmers, LLC.
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