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Beyond Lessons Learned: Opportunities and Challenges for Interplay Between Knowledge Management, Arts and Humanities in the Digital Age

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Part of the book series: Knowledge Management and Organizational Learning ((IAKM,volume 7))

Abstract

How do knowledge management, arts and humanities and big data dialogue in the digital era? What are the opportunities and challenges for arts and humanities in the age of big data? In the last years, we are seeing an increasing exploitation of big data and analytics in arts and humanities fields. Big data and digital technologies are inspiring new paths of development in the arts and humanities field, facilitating the creation and transfer of knowledge. The arts and humanities, in turn, are significantly contributing to the effective exploitation and extraction of meaning and knowledge from big data in several fields. It is evident that the innovative potential of a data-driven approach across the full range of arts and humanities disciplines is becoming more and more huge. However, more research and applications are still required to better understand both the value of creating and using such “strong data-driven ecosystems” in arts and humanities and their contribution to knowledge management processes. Accordingly, this chapter attempts to shed more light on the promising dialogue between arts and humanities and big data approaches in the digital age, by highlighting opportunities and challenges connected to knowledge management aspects.

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References

  • Ackoff, R. L. (1989). From data to wisdom. Journal of Applied Systems Analysis, 16(1), 3–9.

    Google Scholar 

  • Alavi, M., & Denford, J. (2011). Knowledge management: Process, practice and web 2.0. In M. Easterby-Smith & M. A. Lyles (Eds.), Handbook of organizational learning and knowledge management (pp. 105–124). Wiley.

    Google Scholar 

  • Arts and Humanities Research Council. (2014). The challenges of big data. Swindon, Wiltshire: Arts and Humanities Research Council.

    Google Scholar 

  • Berry, D. M. (2011). The computational turn: Thinking about the digital humanities. Culture Machine, 12, 1–22.

    Google Scholar 

  • Boyd, D., & Crawford, K. (2011). Six provocations for big data. A decade in internet time: Symposium on the dynamics of the internet and society, September 21, 2011. Accessed July, 2017, from http://ssrn.com/abstract=1926431; doi:https://doi.org/10.2139/ssrn.1926431

  • Carlucci, D., Schiuma, G., & Santarsiero, F. (2018). Toward a data-driven world: Challenges and opportunities in arts and humanities. In G. Schiuma & D. Carlucci (Eds.), Big data in the arts and humanities: Theory and practice (pp. 15–26). CRC Press.

    Google Scholar 

  • Chan, J., & Bennett Moses, L. (2016). Is big data challenging criminology? Theoretical Criminology, 20(1), 21–39.

    Article  Google Scholar 

  • Doorn, P. (2016). Big data in the humanities and social sciences. Accessed July, 2017, from https://sciencenode.org/feature/big-data-humanities-and-social-sciences.php

  • Edwards, J. S., & Taborda, E. R. (2016). Using knowledge management to give context to analytics and big data and reduce strategic risk. Procedia Computer Science, 99, 36–49.

    Article  Google Scholar 

  • Fredriksson, C. (2015). Knowledge management with big data creating new possibilities for organization. In XXIV Nordiska kommunforskarkonferensen, Gothenburg, 26–28 November.

    Google Scholar 

  • Fuchs, M., Höpken, W., & Lexhagen, M. (2014). Big data analytics for knowledge generation in tourism destinations–A case from Sweden. Journal of Destination Marketing and Management, 3(4), 198–209.

    Article  Google Scholar 

  • Gandomi, A., & Haider, M. (2014). Beyond the hype: Big data concepts, methods, and analytics. International Journal of Information Management, 35(2), 137–144.

    Article  Google Scholar 

  • Grugier, M. (2016). The digital age of data art. Accessed June, 2017, from https://techcrunch.com/2016/05/08/the-digital-age-of-data-art/

  • Judge, A., Stein, R., Walter, M., & Firth, M. (2017). Big data and analytics: What we’ve learned so far. Accessed May, 2017, from https://mw17.mwconf.org/proposal/big-data-and-analytics-what-weve-learned-so-far/

  • Kwon, O., Namyeo, L., & Bongsik, S. (2014). Data quality management, data usage experience and acquisition intention of big data analytics. International Journal of Information Management, 34(3), 387–394.

    Article  Google Scholar 

  • Levi, A. S. (2013). Humanities ‘big data’: Myths, challenges, and lessons. Big Data, 2013 IEEE International Conference on.

    Google Scholar 

  • Liang, Y., & Kelemen, A. (2016). Big data science and its applications in healthcare and medical research: Challenges and opportunities. Austin Biometrics and Biostatistics, 3(1), 1030.

    Google Scholar 

  • Liew, A. (2007). Understanding data, information, knowledge and their inter-relationships. Journal of Knowledge Management Practice, 8(2), 1–16.

    Google Scholar 

  • Lohr, S. (2013). The origins of ‘bigdata’: An etymological detective story. Bits Blog. Accessed June, 2017, from https://bits.blogs.nytimes.com/2013/02/01/the-origins-of-big-data-an-etymological-detective-story/

  • Marr, B. (2016). Big data in practice: How 45 successful companies used big data analytics to deliver extraordinary results. Wiley.

    Google Scholar 

  • Murphy, A. (2015). Cooper Hewitt Smithsonian Design Museum: Reinventing the pen. Accessed June, 2018, from https://advisor.museumsandheritage.com/features/cooper-hewitt-the-major-renovation-and-reinventing-the-pen/

  • O’Neil, C., & Schutt, R. (2013). Doing data science: Straight talk from the frontline. O’Reilly Media.

    Google Scholar 

  • Pauleen, D. J., & Wang, W. Y. (2017). Does big data mean big knowledge? KM perspectives on big data and analytics. Journal of Knowledge Management, 21(1), 1–6.

    Article  Google Scholar 

  • Sashi, C. M. (2012). Customer engagement, buyer-seller relationships, and social media. Management Decision, 50(2), 253–272.

    Article  Google Scholar 

  • Sukumar, S. R., & Ferrell, R. K. (2013). ‘Big data’ collaboration: Exploring, recording and sharing enterprise knowledge. Information Services and Use, 33(3–4), 257–270.

    Article  Google Scholar 

  • Triscott, N. (2012). Art in the age of “big data”. Accessed July, 2018, from https://nicolatriscott.org/2012/09/23/art-in-the-age-of-big-data

  • Tsimonis, G., & Dimitriadis, S. (2014). Brand strategies in social media. Marketing Intelligence and Planning, 32(3), 328–344.

    Article  Google Scholar 

  • Ularu, E. G., Puican, F. C., Apostu, A., & Velicanu, M. (2012). Perspectives on big data and big data analytics. Database Systems Journal, 3(4), 3–14.

    Google Scholar 

  • Walter, M. (2016). Data warehousing and building analytics at Cooper Hewitt, Smithsonian Design Museum. Accessed May, 2017, from https://www.gitbook.com/book/micahwalter/building-analytics-at-cooper-hewitt/details

  • Wikipedia. (2016). Accessed July, 2017, from https://en.wikipedia.org/wiki/Delpher

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Carlucci, D., Schiuma, G., Santarsiero, F. (2019). Beyond Lessons Learned: Opportunities and Challenges for Interplay Between Knowledge Management, Arts and Humanities in the Digital Age. In: Handzic, M., Carlucci, D. (eds) Knowledge Management, Arts, and Humanities. Knowledge Management and Organizational Learning, vol 7. Springer, Cham. https://doi.org/10.1007/978-3-030-10922-6_12

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