Efecto del ecosistema de big data en la gestión del conocimiento y el diseño organizativo: caso de estudio exploratorio en el sector de los biocombustibles

10.21158/01208160.n95.2023.3839
Published 2023-02-13
Scientific articles

Abstract

This paper aims to investigate the factors that are crucial for organizations to acquire the necessary resources and capabilities to extract value from big data. The study explores the impact of implementing big data ecosystems on knowledge management processes, coordination, and control mechanisms, and organizational design variables through a selected case study. For the research, a qualitative approach was adopted, employing a case study design, which is considered the more suitable approach given the exploratory nature of the research, according to the literature. Data collection involved in-depth interviews and corporate information, with analysis conducted using an inductive approach and axial coding. The findings reveal a reciprocal relationship between the implementation of big data ecosystems, knowledge management processes, and coordination and control mechanisms. Additionally, the case study identifies mediating and moderating variables influencing this relationship. This research contributes to the existing body of knowledge by addressing a gap in the literature. While previous studies have focused on the relationship between big data ecosystems and knowledge management processes, this paper highlights the organizational changes necessary for implementing such ecosystems that have been overlooked. It emphasizes the importance of understanding how this implementation affects organizational design and sheds light on the skills and capabilities required to adopt these technologies. This exploratory case study serves as a valuable contribution to the understanding of the broader implications of big data ecosystem implementation in organizations.

Keywords

Similar Articles

1-10 of 1024

Authors

References

Alavi, M. & Leidner, D. (2001). Knowledge management and knowledge management systems: Conceptual foundations and research issues. MIS Quarterly, 25(1), 107-136. https://doi.org/10.2307/3250961

Argote, L., McEvily, B. & Reagans, R. (2003). Managing knowledge in organizations: An integrative framework and review of emerging themes. Management Science, 49(4), 571-582. http://www.jstor.org/stable/4133958

Balbastre Benavent, F. (2001). La autoevaluación según los modelos de gestión de calidad total y el aprendizaje en la organización: una investigación de carácter exploratorio. [Tesis doctoral]. Universidad de Valencia. https://www.tdx.cat/handle/10803/9660#page=1

Becerra-Fernández, I. & Sabherwal, R. (2014). Knowledge management: Systems and processes (second edition). Routledge.

Bluhm, D. J., Harman, W., Lee, T. W. & Mitchell, T. R. (2011). Qualitative research in management: A decade of progress. Journal of Management Studies, 48(8), 1866-1891. https://doi.org/10.1111/j.1467-6486.2010.00972.x

Boeije, H. (2009). Analysis in qualitative research (first edition). Sage Publications.

Bryman, A. (1988). Quantity and quality in social research. Unwin Hyman Ltd.

Bumblauskas, D., Nold, H., Bumblauskas, P. & Igou, A. (2017). Big data analytics: Transforming data to action. Business Process Management Journal, 23(3), 703-720. https://doi.org/10.1108/BPMJ-03-2016-0056

Burton, R. M., Obel, B. & Håkonsson, D. D. (2015). Organizational design: A step-by-step approach (third edition). Cambridge University Press.

Carayannis, E. G., Grigoroudis, E., Del Giudice, M., Della Peruta, M. R. & Sindakis, S. (2017). An exploration of contemporary organizational artifacts and routines in a sustainable excellence context. Journal of Knowledge Management, 21(1), 35-56. https://doi.org/10.1108/JKM-10-2015-0366

Child, J. (1973). Predicting and understanding organization structure. Administrative Science Quarterly, 18(2), 168-185. https://doi.org/10.2307/2392061

Child, J. (2015). Organization: Contemporary principles and practice (second edition). John Wiley and Sons.

Dewett, T. & Jones, G. R. (2001). The role of information technology in the organization: A review, model, and assessment. Journal of Management, 27(3), 313-346. https://doi.org/10.1016/S0149-2063(01)00094-0

Diebold, F. X. (2012). A personal perspective on the origin(s) and development of “big data”: The phenomenon, the term, and the discipline, second version. Social Science Research Network. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2202843

Dul, J. & Hak, T. (2007). Case study methodology in business research (first edition). Routledge. https://doi.org/10.4324/9780080552194

Fjeldstad, Ø. D. & Snow, C. C. (2018). Business models and organization design. Long Range Planning, 51(1), 32-39. https://doi.org/10.1016/j.lrp.2017.07.008

Flick, U. (2018). An introduction to qualitative research. Sage Publications.

Frizzo-Barker, J., Chow-White, P. A., Mozafari, M. & Ha, D. (2016). An empirical study of the rise of big data in business scholarship. International Journal of Information Management, 36(3), 403-413. https://doi.org/10.1016/j.ijinfomgt.2016.01.006

Galbraith, J. R. (1995). Designing Organizations: An executive briefing on strategy, structure, and process (first edition). Jossey-Bass Inc.

Galbraith, J. R. (2014). Designing organizations: Strategy, structure, and process at the business unit and enterprise levels (third edition). Jossey-Bass Inc.

Galbraith, J. R., Downey, D. & Kates, A. (2001). Designing Dynamic Organizations: A Hands-On Guide for Leaders at All Levels (first edition). American Management Association.

Gandomi, A. & Haider, M. (2015). Beyond the hype: Big data concepts, methods, and analytics. International Journal of Information Management, 35(2), 137-144. https://doi.org/10.1016/j.ijinfomgt.2014.10.007

Gold, A. H., Malhotra, A. & Segars, A. H. (2001). Knowledge management: An organizational capabilities perspective. Journal of Management Information Systems, 18(1), 185-214. https://doi.org/10.1080/07421222.2001.11045669

Good, M., Knockaert, M., Soppe, B. & Wright, M. (2019). The technology transfer ecosystem in academia. An organizational design perspective. Technovation, 82-83, 35-50. https://doi.org/10.1016/j.technovation.2018.06.009

Grant, R. M. (1996). Toward a knowledge-based theory of the firm. Strategic Management Journal, 17(S2), 109-122. https://doi.org/10.1002/smj.4250171110

Günther, W. A., Rezazade Mehrizi, M. H., Huysman, M. & Feldberg, F. (2017). Debating big data: A literature review on realizing value from big data. The Journal of Strategic Information Systems, 26(3), 191-209. https://doi.org/10.1016/j.jsis.2017.07.003

Gupta, A. K. & Govindarajan, V. (2000). Knowledge flows within multinational corporations. Strategic Management Journal, 21(4), 473-496. https://doi.org/10.1002/(SICI)1097-0266(200004)21:4<473::AID-SMJ84>3.0.CO;2-I

Gurteen, D. (1998). Knowledge, creativity and innovation. Journal of Knowledge Management, 2(1), 5-13. https://doi.org/10.1108/13673279810800744

Hevner, A. R., March, S. T., Park, J. & Ram, S. (2004). Design science in information systems research. MIS Quarterly, 28(1), 75-105. https://dl.acm.org/doi/10.5555/2017212.2017217

Hilton, R. W. (1981). The determinants of information value: Synthesizing some general results. Management Science, 27(1), 1-114. https://doi.org/10.1287/mnsc.27.1.57

Huber, G. P. (1991). Organizational learning: the contributing processes and the literatures. Organization Science, 2(1), 1-147. https://doi.org/10.1287/orsc.2.1.88

Inkpen, A. C. & Tsang, E. W. (2005). Social capital, networks, and knowledge transfer. The Academy of Management Review, 30(1), 146-165. https://www.jstor.org/stable/20159100

Intezari, A. & Gressel, S. (2017). Information and reformation in KM systems: big data and strategic decision-making. Journal of Knowledge Management, 21(1), 71-91. https://doi.org/10.1108/JKM-07-2015-0293

Jashapara, A. (2004). Knowledge management: An integrated approach. Pearson Education.

Jonker, C. M., Popova, V., Sharpanskykh, A., Treur, J. & Yolum, P. (2012). Formal framework to support organizational design. Knowledge-Based Systems, 31, 89-105. https://doi.org/10.1016/j.knosys.2012.02.011

Katal, A., Wazid, M. & Goudar, R. H. (2013). Big data: Issues, challenges, tools and good practices. 6th International Conference on Contemporary Computing – (IC3). Noida, India,404-409. https://doi.org/10.1109/IC3.2013.6612229

Khachlouf, N. & Quélin, B. V. (2018). Interfirm ties and knowledge transfer: The moderating role of absorptive capacity of managers. Knowledge and Process Management, 25(2), 97-107. https://doi.org/10.1002/kpm.1564

Lake, P. & Drake, R. (2014). Information systems management in the big data era (first edition). Springer International Publishing.

Laney, D. (2001). 3D data management: controlling data volume, velocity and variety. Meta Group. https://studylib.net/doc/8647594/3d-data-management--controlling-data-volume--velocity--an

Lee, I. (2017). Big data: Dimensions, evolution, impacts, and challenges. Business Horizons, 60(3), 293-303. https://doi.org/10.1016/j.bushor.2017.01.004

Leech, N. L. & Onwuegbuzie, A. J. (2009). A typology of mixed methods research designs. Quality & Quantity, 43, 265-275. https://doi.org/10.1007/s11135-007-9105-3

Lugmayr, A., Stockleben, B., Scheib, C. & Mailaparampil, M. A. (2017). Cognitive big data: Survey and review on big data research and its implications. What is really “new” in big data? Journal of Knowledge Management, 21(1), 197-212. https://doi.org/10.1108/JKM-07-2016-0307

Maldonado Ascanio, E. & Balbastre-Benavent, F. (2018, September 12-14). Big data implementation levels in organizations: a theoretical proposal. 11th Annual Conference of the Euromed Academy of Business: Research Advancements in National and Global Business Theory and Practice at: Valleta, Malta, 877-889. https://emrbi.org/wp-content/uploads/2020/09/EuroMed-11-2018.pdf

McLeod, A. J., Bliemel, M. & Jones, N. (2017). Examining the adoption of big data and analytics curriculum. Business Process Management Journal, 23(3), 506-517. https://doi.org/10.1108/BPMJ-12-2015-0174

Miles, M. B., Huberman, M. A. & Saldaña, J. (2015). Qualitative data analysis: A methods sourcebook (third edition). Sage Publications.

Mintzberg, H. (1979). The structuring of organizations (first edition). Prentice-Hall Inc.

Mintzberg, H. (1992). Structure in fives: Designing effective organizations (first edition). Prentice-Hall Inc.

Miterev, M., Turner, J. R. & Mancini, M. (2017). The organization design perspective on the project-based organization: A structured review. International Journal of Managing Projects in Business, 10(3), 527-549. https://doi.org/10.1108/IJMPB-06-2016-0048

Murawski, M. & Bick, M. (2017). Digital competences of the workforce - a research topic? Business Process Management Journal, 23(3), 721-734. https://doi.org/10.1108/BPMJ-06-2016-0126

Nonaka, I. (1994). A dynamic theory of organizational knowledge creation. Organization Science, 5(1), 1-118. https://doi.org/10.1287/orsc.5.1.14

Nonaka, I. & Peltokorpi, V. (2006). Objectivity and subjectivity in knowledge management: A review of 20 top articles. Knowledge and Process Management, 13(2), 73-82. https://doi.org/10.1002/kpm.251

Okhuysen, G. A. & Bechky, B. A. (2009). 10 coordination in organizations: An integrative perspective. Academy of Management Annals, 3(1), 463-502. https://doi.org/10.5465/19416520903047533

Orlikowski, W. J. & Barley, S. R. (2001). Technology and institutions: What can research on information technology and research on organizations learn from each other? MIS Quarterly, 25(2), 145-165. https://doi.org/10.2307/3250927

Rothberg, H. N. & Erickson, G. S. (2017). Big data systems: Knowledge transfer or intelligence insights? Journal of Knowledge Management, 21(1), 92-112. https://doi.org/10.1108/JKM-07-2015-0300

Russom, P. (2011). Big data analytics. TDWI Best Practices Report.

Santoro, G., Vrontis, D., Thrassou, A. & Dezi, L. (2018). The internet of things: Building a knowledge management system for open innovation and knowledge management capacity. Technological Forecasting and Social Change, 136, 347-354. https://doi.org/10.1016/j.techfore.2017.02.034

Saunders, M., Lewis, P. & Thornhill, A. (2015). Research methods for business students (seventh edition). Pearson Education.

Statistics

Abstract
0
PDF accesses
0

Dimensions

PlumX

Downloads

Download data is not yet available.