BIG DATA AND COMPETITIVE ADVANTAGE: SOME DIRECTIONS AND USES
Resumo
The competitive in global market requires a continuous transformation in information technology contents, mainly by the insertion of new tools and techniques that rapidly evolve and are absorbed by members of the organizations. This advanced of new technologies in organizations scenario brought challenges addressed to need to collect, store, process and transform their data into relevant information to create competitive advantage. In highly dynamic business environments, the possibility of generating information pushes companies to use efficiently a huge volume of data, in both resources and capacities approaches. This paper aimed to analyze the relation between Big Data and competitive advantage using the resource-based view and the dynamic capabilities. Three international databases were used and analyzed 29 articles. Results indicated that both the resource-based view and the dynamic capabilities approach are used to analyze Big Data as competitive advantage creator. Two aspects were evidenced: the combined approaches can result in more consistent analyses; and the lack of a robust theoretical framework for Big Data analysis is evidenced by the predominance of descriptive articles and practical reports.
Referências
Agrawal, D., Bernstein, P., Bertino, E., Davidson, S., Dayal, U., Franklin, M., ... & Jagadish, H. V. (2011). Challenges and Opportunities with big data 2011-1. Retrieved from: https://docs.lib.purdue.edu/cctech/1/. Access: April/2018.
Almarri, K. & Gardiner, P. (2014). Application of resource-based view to project management research: supporters and opponents. Procedia-Social and Behavioral Sciences, 119, 437- 445. https://doi.org/10.1016/j.sbspro.2014.03.049
Alharthi, A., Krotov, V. & Bowman, M. (2017). Addressing barriers to big data. Business Horizons, 60(3), 285-292. https://doi.org/10.1016/j.bushor.2017.01.002
Barney, J. B. (1991). Firm resources and sustained competitive advantage. Journal of management, 17(1), 99-120. https://doi.org/10.1177%2F014920639101700108
Barney, J. B. (2001a). Resource-based theories of competitive advantage: A ten-year retrospective on the resource-based view. Journal of management, 27(6), 643-650. https://doi.org/10.1016/S0149-2063(01)00115-5
Barney, J. B. (2001b). Is the resource-based “view” a useful perspective for strategic management research? Yes. Academy of management review, 26(1), 41-56. https://doi.org/10.5465/AMR.2001.4011938
Barth, M. & Rieckmann, M. (2016). State of the art in research on higher education for sustainable development. Matthias Barth, Gerd Michelsen, Marco Rieckmann und Ian Thomas (Eds.): Routledge Handbook of Higher Education for Sustainable Development. London: Routledge, 100-113.
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
Cattell, R. (2011). Scalable SQL and NoSQL data stores. Acm Sigmod Record, 39(4), 12-27. doi>10.1145/1978915.1978919
Chaudhuri, S., Dayal, U., & Narasayya, V. (2011). An overview of business intelligence technology. Communications of the ACM, 54(8), 88-98. doi> 10.1145/1978542.1978562.
Chaurasia, S.S. & Frieda Rosin, A. (2017). From Big Data to Big Impact: analytics for teaching and learning in higher education. Industrial and Commercial Training, Vol. 49 No. 7/8, pp. 321-328. https://doi.org/10.1108/ICT-10-2016-0069.
Chibba, M., & Cavoukian, A. (2015, December). Privacy, consumer trust and big data: Privacy by design and the 3 C'S. In ITU Kaleidoscope: Trust in the Information Society (K-2015), 2015 (pp. 1-5). IEEE. doi> 10.1109/Kaleidoscope.2015.7383624.
Chen, M., Mao, S. & Liu, Y. (2014). Big data: A survey. Mobile Networks and Applications, 19(2), 171-209. https://doi.org/10.1007/s11036-013-0489-0
Combs, J. G. & Ketchen Jr, D. J. (1999). Explaining interfirm cooperation and performance: toward a reconciliation of predictions from the resource-based view and organizational economics. Strategic management journal, 867-888. https://doi.org/10.1002/(SICI)1097-0266(199909)20:9<867::AID-SMJ55>3.0.CO;2-6
Côrte-Real, N., Oliveira, T. & Ruivo, P. (2017). Assessing business value of Big Data Analytics in European firms. Journal of Business Research, 70, 379-390. https://doi.org/10.1016/j.jbusres.2016.08.011
Coutinho, E. S., Vilhena Lana-Peixoto, F. de, Ribeiro Filho, P. Z., & Amaral, H. F. (2005). De Smith a Porter. REGE. Revista de Gestão, 12(4), 101. https://doi.org/10.5700/issn.2177-8736.rege.2005.36536
Eisenhardt, K. M. & Schoonhoven, C. B. (1996). Resource-based view of strategic alliance formation: Strategic and social effects in entrepreneurial firms. Organization Science, 7(2), 136-150. https://doi.org/10.1287/orsc.7.2.136
Eisenhardt, K. M. & Martin, J. A. (2000). Dynamic capabilities: what are they? Strategic management journal, 1105-1121. https://doi.org/10.1002/1097-0266(200010/11)21:10 /11<1105::AID-SMJ133>3.0.CO;2-E
Fawcett, S. E. & Waller, M. A. (2014). Supply chain game changers-mega, nano, and virtual trends—and forces that impede supply chain design (ie, building a winning team). Journal of Business Logistics, 35(3), 157-164. https://doi.org/10.1111/jbl.12058
Fink, A. (2013). Conducting research literature reviews: From the Internet to paper. Sage Publications.
Galunic, D. C. & Rodan, S. (1998). Resource recombinations in the firm: Knowledge structures and the potential for Schumpeterian innovation. Strategic management journal, 1193-1201. https://doi.org/10.1002/(SICI)1097-0266(1998120)19:12%3C11 93::AID-SMJ5%3E3.0.CO;2-F
Gantz, J., & Reinsel, D. (2011). Extracting value from chaos. IDC iview, 1142(2011), 1-12. Retrieved from: http://www.emc.com.az/collateral/analyst-reports/idc-extracting-value-from-chaos-ar.pdf. Access: April/2018.
Grover, P., & Kar, A. K. (2017). Big data analytics: A review on theoretical contributions and tools used in literature. Global Journal of Flexible Systems Management, 18(3), 203-229. https://doi.org/10.1007/s40171-017-0159-3
Gupta, M. & George, J. F. (2016). Toward the development of a big data analytics capability. Information & Management, 53(8), 1049-1064. https://doi.org/10.1016/j.im.2016.07.004
Habbershon, T. G. & Williams, M. L. (1999). A resource‐based framework for assessing the strategic advantages of family firms. Family business review, 12(1), 1-25. https://doi.org/10.1111/j.1741-6248.1999.00001.x
Hashem, I. A. T., Yaqoob, I., Anuar, N. B., Mokhtar, S., Gani, A., & Khan, S. U. (2015). The rise of “big data” on cloud computing: Review and open research issues. Information Systems, 47, 98-115. http://dx.doi.org/10.1016/j.is.2014.07.006
He, W., Wu, H., Yan, G., Akula, V. & Shen, J. (2015). A novel social media competitive analytics framework with sentiment benchmarks. Information & Management, 52(7), 801-812. https://doi.org/10.1016/j.im.2015.04.006
Helfat, C. E. & Peteraf, M. A. (2003). The dynamic resource‐based view: Capability lifecycles. Strategic management journal, 24(10), 997-1010. https://doi.org/10.1002/smj.332
Henard, D. H. & McFadyen, M. (2012). Resource Dedication and New Product Performance: A Resource‐Based View. Journal of Product Innovation Management, 29(2), 193-204. https://doi.org/10.1111/j.1540-5885.2011.00889.x
Howard, J. H., Kazar, M. L., Menees, S. G., Nichols, D. A., Satyanarayanan, M., Sidebotham, R. N., & West, M. J. (1988). Scale and performance in a distributed file system. ACM Transactions on Computer Systems (TOCS), 6(1), 51-81. https://doi.org/10.1145/35037.35059
Jang, S. H. (2013). The offensive framework of resource based view (RBV): inhibiting others from pursuing their own values. Journal of Management and Strategy, 4(1), 62. https://doi.org/10.5430/jms.v4n1p62
Kabir, N. & Carayannis, E. (2013). Big Data, Tacit Knowledge and Organizational Competitiveness. Journal of Intelligence Studies in Business, 3, 54-62.
Khan, Z. & Vorley, T. (2017). Big data text analytics: an enabler of knowledge management. Journal of Knowledge Management, 21(1), 18-34. https://doi.org/10.1108/JKM-06-2015-0238
Labrinidis, A., & Jagadish, H. V. (2012). Challenges and opportunities with big data. Proceedings of the VLDB Endowment, 5(12), 2032-2033. doi>10.14778/2367502.2367572
Laurindo, F. J. B., Shimizu, T., Carvalho, M. D. & Rabechini Jr, R. (2001). O papel da tecnologia da informação na estratégia das organizações. Gestão & Produção, 8(2), 160-179.
Matthias, O., Fouweather, I., Gregory, I. & Vernon, A. (2017). Making sense of Big Data – can it transform operations management? International Journal of Operations & Production Management, 37(1), 37-55. https://doi.org/10.1108/IJOPM-02-2015-0084
Meirelles, D. S. & Camargo, Á. A. B. (2014). Capacidades Dinâmicas: o que são e como identificá-las? RAC-Revista de Administração Contemporânea, 18(spe), 41-64. http://dx.doi.org/10.1590/1982-7849rac20141289
Melo, C. (2016). O que é Agtech e por que o Brasil pode liderar essa nova onda tecnológica. StartAgro. Retrieved from: http://www.startagro.agr.br/o-que-e-agtech-e-por-que-o-brasil-pode-liderar-essa-nova-onda-tecnologica/. Access: April/2017.
Nudurupati, S. S., Tebboune, S. & Hardman, J. (2016). Contemporary performance measurement and management (PMM) in digital economies. Production Planning & Control, 27(3), 226-235. https://doi.org/10.1080/09537287.2015.1092611
Opresnik, D. & Taisch, M. (2015). The value of Big Data in servitization. International Journal of Production Economics, 165, 174-184. https://doi.org/10.1016/j.ijpe.2014.12.036
Osagie, E. R., Wesselink, R., Blok, V., Lans, T. & Mulder, M. (2016). Individual competencies for corporate social responsibility: A literature and practice perspective. Journal of Business Ethics, 135 (2), 233-252. https://doi.org/10.1007/s1055
Prescott, M. E. (2016). Big Data: Innovation and Competitive Advantage in an Information Media Analytics Company. Journal of Innovation Management, 4(1), 92-113.
Porter, M. E. (1986). Estratégia competitiva: técnicas para análise de indústrias e da concorrência. Campus.
Ribarsky, W., Wang, D. X. & Dou, W. (2013). Social media analytics for competitive advantage. Computers & Graphics, 38, 328-331. https://doi.org/10.1016/j.cag.2013.11.003
Silverman, B. S. (1999). Technological resources and the direction of corporate diversification: Toward an integration of the resource-based view and transaction cost economics. Management Science, 45(8), 1109-1124. https://doi.org/10.1287/mnsc.45.8.1109
Sonka, S. (2014). Big data and the ag sector: More than lots of numbers. International Food and Agribusiness Management Review, 17(1), 1-20.
Srivastava, R. K., Fahey, L. & Christensen, H. K. (2001). The resource-based view and marketing: The role of market-based assets in gaining competitive advantage. Journal of management, 27(6), 777-802. https://doi.org/10.1016/S0149-2063 (01)00123-4
Suess-Reyes, J. & Fuetsch, E. (2016). The future of family farming: a literature review on innovative, sustainable and succession-oriented strategies. Journal of Rural Studies, 47, 117-140. https://doi.org/10.1016/j.jrurstud.2016.07.008
Tan, K. H., Zhan, Y., Ji, G., Ye, F. & Chang, C. (2015). Harvesting big data to enhance supply chain innovation capabilities: An analytic infrastructure based on deduction graph. International Journal of Production Economics, 165, 223-233. https://doi.org/10.1016/j.ijpe.2014.12.034
Teece, D. & Pisano, G. (1994). The dynamic capabilities of firms: an introduction. Industrial and corporate change, 3(3), 537-556. https://doi.org/10.1093/icc/3.3.537-a
Teece, D. J., Pisano, G. & Shuen, A. (1997). Dynamic capabilities and strategic management. Strategic management journal, 509-533. https://doi.org/10.1002/(SICI)1097-0266(1997 08)18:7<509::AID-SMJ882>3.0.CO;2-Z
Thonemann, N. & Schumann, M. (2018). Environmental impacts of wood-based products under consideration of cascade utilization: A systematic literature review. Journal of Cleaner Production, 172, 4181-4188. https://doi.org/10.1016/j.jclepro.2016.12.069
Trevisan, E. F. & Brito, T. B. (2015). Big Data em logística. Revista Mundo Logística. 3(3), maio e junho, 24-30.
Vasconcelos, F. C. & Cyrino, Á. B. (2000). Vantagem competitiva: os modelos teóricos atuais e a convergência entre estratégia e teoria organizacional. Revista de administração de empresas, 40(4), 20-37. http://dx.doi.org/10.1590/S0034-75902000000400003
Verona, G. (1999). A resource-based view of product development. Academy of management review, 24(1), 132-142. https://doi.org/10.5465/amr.1999.1580445
Viana, F. L. E., Neto, J. D. P. B. & Añez, M. E. M. (2014). Gestão da cadeia de suprimento e vantagem competitiva: um modelo de análise a partir da teoria baseada em recursos. Revista Ciências Administrativas, 20(1)http://dx.doi.org/10.5020/2318-0722.20.1.%25p
Wamba, S. F., Gunasekaran, A., Akter, S., Ren, S. J. F., Dubey, R. & Childe, S. J. (2017). Big data analytics and firm performance: Effects of dynamic capabilities. Journal of Business Research, 70, 356-365. https://doi.org/10.1016/j.jbusres.2016.08.009
Wang, Y., & Byrd, T. A. (2017). Business analytics-enabled decision-making effectiveness through knowledge absorptive capacity in health care. Journal of Knowledge Management. https://doi.org/10.1108/JKM-08-2015-0301
Wassmer, U. & Dussauge, P. (2012). Network resource stocks and flows: how do alliance portfolios affect the value of new alliance formations? Strategic Management Journal, 33(7), 871-883. https://doi.org/10.1002/smj.973
Westhead, P., Wright, M. & Ucbasaran, D. (2001). The internationalization of new and small firms: A resource-based view. Journal of business venturing, 16(4), 333-358. https://doi.org/10.1016/S0883-9026(99)00063-4
Winter, S. G. (2003). Understanding dynamic capabilities. Strategic management journal, 24(10), 991-995. https://doi.org/10.1002/smj.318
Zahra, S. A., Hayton, J. C. & Salvato, C. (2004). Entrepreneurship in family vs. Non‐Family firms: A Resource‐Based analysis of the effect of organizational culture. Entrepreneurship theory and Practice 28(4), 363-381. https://doi.org/10.1111/j.1540-6520.2004.00051.x
Zhang, Y., Ren, S., Liu, Y. & Si, S. (2017a). A big data analytics architecture for cleaner manufacturing and maintenance processes of complex products. Journal of Cleaner Production, 142, 626-641. https://doi.org/10.1016/j.jclepro.2016.07.123
Zhang, Y., Ren, S., Liu, Y., Sakao, T. & Huisingh, D. (2017b). A framework for Big Data driven product lifecycle management. Journal of Cleaner Production, 159, 229-240. https://doi.org/10.1016/j.jclepro.2017.04.172
DOI: http://dx.doi.org/10.12819/2021.18.1.1
Apontamentos
- Não há apontamentos.
Este obra está licenciado com uma Licença Creative Commons Atribuição-NãoComercial-SemDerivações 4.0 Internacional.
Atribuição (BY): Os licenciados têm o direito de copiar, distribuir, exibir e executar a obra e fazer trabalhos derivados dela, conquanto que deem créditos devidos ao autor ou licenciador, na maneira especificada por estes.
Não Comercial (NC): Os licenciados podem copiar, distribuir, exibir e executar a obra e fazer trabalhos derivados dela, desde que sejam para fins não-comerciais
Sem Derivações (ND): Os licenciados podem copiar, distribuir, exibir e executar apenas cópias exatas da obra, não podendo criar derivações da mesma.
ISSN 1806-6356 (Impresso) e 2317-2983 (Eletrônico)