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Big Data Analysis as a Source of Companies’ Competitive Advantage: A Review



Objective: The main aim of the article is two-fold: firstly, to indicate the benefits to companies. which stem from the usage of Big Data Analysis (BDA), and secondly to conceptualise main general sources of competitive advantage that BDA affords.

Research Design & Methods: The method used in the article is a comprehensive literature review including theories of competitive advantage and relations existing on the Consumer-to-Business market including BDA.

Findings: The conducted research indicates the particular benefits as a result of using BDA, but also conceptualises and proposes three main general sources of competitive advantage that BDA affords. These include product quality, risk reduction, and a customer relationships advantage.

Implications & Recommendations: The results have practical implications as they identify the importance and a possible application of BDA for companies from different industries. If one wants to achieve a competitive advantage, then BDA constitutes an important potential solution. However, a certain level of managerial awareness is required first in order to implement such a solution. The awareness of particular benefits which have already been achieved by competitors in the same industry by applying BDA may be an important trigger for a company to consider implementing their own BDA.

Contribution & Value Added: The originality of the article stems from the comprehensive analysis of benefits of BDA resulting in the conceptualisation of Big Data-driven competitive advantage.


Big Data Analysis, Consumer-to-Business, competitive advantage



  1. Aguila Obra, A.R., Bruque Cámara, S., & Padilla Meléndez, A. (2002). Internet usage and competi-tive advantage: the impact of the Internet on an old economy industry in Spain. Internet Re-search, 12(5), 391-401.
  2. Ahsan, K., & Rahman, S. (2016). An investigation into critical service determinants of customer to business (C2B) type product returns in retail firms. International Journal of Physical Distribu-tion & Logistics Management, 46(6/7), 606-633.
  3. Arend, R.J. (2003). Revisiting the logical and research considerations of competitive advantage. Strategic Management Journal, 24(3), 279-284.
  4. Autio, E., Sapienza, H.J., & Almeida, J. (2000). Effects of Age at Entry, Knowledge Intensity, and Imitability on International Growth. Academy of Management Journal, 43, 909-924.
  5. Barney, J. (2011). Gaining and Sustaining Competitive Advantage. 4th edition. London: Pearson.
  6. Barney, J.B. (1991). Firm Resources and Sustained Competitive Advantage. Journal of Manage-ment, 17(1), 99-120.
  7. Bhat, W.A., & Quadri, S.M.K. (2015). Big Data promises value: is hardware technology
  8. taken onboard?. Industrial Management & Data Systems, 115(9), 1577-1595.
  9. Berner, M., Graupner, E., & Maedche, A. (2014). The information panopticon in the Big Data era. Journal of Organisation Design, 3(1), 14-19.
  10. Big Data przynosi istotne korzyści biznesowe. Retrieved from on Sep-tember 10, 2015.
  11. Braganza, A., Brooks, L., Nepelski, D., Ali, M., & Moro, R. (2017). Resource management in big data initiatives: processes and dynamic capabilities. Journal of Business Research, 70, 328-337.
  12. Bumblauskas, D., Nold, H., Bumblauskas, P., & Igou, A. (2017). Big data analytics: transforming
  13. data to action. Business Process Management Journal, 23(3), 703-720.
  14. Chandler, J., & Chen, S. (2015). Prosumer motivations in service experiences. Journal of Service Theory and Practice, 25(2), 220-239.
  15. Cheng, S., Zhang, Q., & Qin, Q. (2016). Big data analytics with swarm intelligence. Industrial Man-agement & Data Systems, 116(4), 646-666.
  16. Constantinou, I.D., & Kallinikos, J. (2015). New games, new rules: big data and the changing context of strategy. Journal of Information Technology, 30(1), 44-57.
  17. Covin, J.G., & Slevin, D.P. (1990). New venture strategic posture, structure, and performance:
  18. An industry life cycle analysis. Journal of Business Venturing, 5, 123-135.
  19. Craig, C.S, & Douglas, S.P. (2005). International Marketing Research. Hoboken: Wiley Publ.
  20. Curry, E. (2016). The Big Data Value Chain: Definitions, Concepts, and Theoretical Approaches. In J.M. Cavanillas, E. Curry & W. Wahlster (Eds.), New Horizons for a Data-Driven Economy (pp. 29-37). Springer International Publishing.
  21. Davenport, T.H. (2014). How strategists use “big data” to support internal business decisions, discovery and production. Strategy & Leadership, 42(4), 45-50.
  22. Del Vecchio, P., Mele, G., Ndou, V., & Secundo, G. (2018). Creating value from Social Big Data: Implications for Smart Tourism Destinations. Information Processing & Management, 54(5), 847-860.
  23. Deszczyński, B. (2016). The Maturity of Corporate Relationship Management. Gospodarka Naro-dowa, 3(283), 73-104.
  24. Doyle, E., & Perez-Alaniz, M. (2017). From the Concept to the Measurement of Sustainable Competitiveness: Social and Environmental Aspects. Entrepreneurial Business and Economics Review, 5(4), 35-59.
  25. Erickson, S., & Rothberg H. (2014). Big Data and Knowledge Management: Establishing a Concep-tual Foundation. The Electronic Journal of Knowledge Management, 12(2), 108-116.
  26. Fonfara, K. (Ed.). (2012). The Development of Business Networks in the Company Internationalisa-tion Process. Poznań University of Economics Press.
  27. Fosso Wamba, S., Akter, S., Edwards, A., Chopin, G., & Gnanzou, D. (2015). How ‘Big Data’ can make big impact: findings from a systematic review and a longitudinal case study. International Journal of Production Economics, 165, 234-246.
  28. Gartner (2015). Gartner says 6.4 billion connected ‘things’ will be in use in 2016, up 30 percent from 2015. Retrieved from on September 20, 2018.
  29. Groves, P., Kayyali, B., Knott, D., & Van Kuiken, S. (2013). The ‘big data’ revolution in healthcare: Accelerating value and innovation. McKinsey & Company.
  30. Hagedoorn, J., & Cloodt, M. (2003). Measuring innovative performance: is there an
  31. advantage in using multiple indicators?. Research Policy, 32(8), 1365-1379.
  32. Hajli, N. (2015). Social commerce constructs and consumer’s intention to buy. International Journal of Information Management, 35(2), 183-191.
  33. Havens, P.-A., & Senneseth, K. (2001). A Panel Study of Firm Growth among SMEs in Networks. Small Business Economics, 16, 293-302.
  34. He, W., Wang, F-K., & Akula, V. (2017). Managing extracted knowledge from big social media data for business decision making. Journal of Knowledge Management, 21(2), 275-294.
  35. Hilmersson, M., Johanson, M., Lundberg, H., Papaioannou, S., & Thyr, A. (2015). Business networks, firm strategy, opportunity development and strategic outcomes: a conceptualization of the initial phase of firm internationalization. In J. Larimo, N. Nummela, & T. Mainela (Eds.), Handbook on International Alliance and Network Research (pp. 171-194). Cheltenham: Edward Elgar.
  36. Hofacker, Ch.F., Malthouse, E.C., & Sultan, F. (2016). Big Data and consumer behavior: imminent opportunities. Journal of Consumer Marketing, 33(2), 89-97.
  37. Hüther, M. (2016). Digitalisation: An engine for structural change – A challenge for economic policy. IW Policy Paper, Institut der deutschen Wirtschaft Köln,•15. Retrieved from ttps:// on September 20, 2018.
  38. IBM (2014). The Four V’s of Big Data, IBM. Retrieved from on September 16, 2018.
  39. Intezari, A., & Gressel, S. (2017). Information and reformation in KM systems: big data
  40. and strategic decision-making. Journal of Knowledge Management, 21(1), 71-91.
  41. Jacobs, A. (2009). The pathologies of big data. Communications of the ACM, 52, 36-44.
  42. Jagadish, H.V. (2015). Big Data and Science: Myths and Reality. Big Data Research, 2(2), 49-52.
  43. Javalgi, R.G., Radulovich, L.P., Pendleton, G., & Scherer, R.F. (2005). Sustainable competitive advantage of internet firms: A strategic framework and implications for global marketers. International Marketing Review, 22(6), 658-672.
  44. Jin, X., Wah, B.W., Cheng, X., & Wang, Y. (2015). Significance and Challenges of Big Data Research. Big Data Research, 2(2), 59-64.
  45. Kaplan, A.M. (2016). O Brave New World that has such creatures in: how digital media shape corporations, organizations and society at large. In G. Mazurek & J. Tkaczyk (Eds.) The Impact of the Digital World on Management and Marketing (pp. 17-22). Warsaw: Kozminski University Publ.
  46. Kim, Y-S., & Cooke, L. (2017). Big data analysis of public library operations and services by using the Chernoff face method. Journal of Documentation, 73(3), 466-480.
  47. Knoben, J. (2008). Firm Mobility and Organizational Networks. Innovation, Embeddedness and Economic Geography. Cheltenham: Edward Elgar.
  48. Laney, D. (2001). 3D data management: Controlling data volume, velocity, and variety. Technical report, META Group.
  49. Manjur, R. (2014). Case Study: How Tesco brought loyalty back to its stores. Retrieved from on September 20, 2014.
  50. Manyika, J., Chui, M., Brown, B., Bughin, J., Dobbs, R., Roxburgh, C., & Byers, A.H. (2011). Big data: The next frontier for innovation, competition, and productivity. McKinsey Global Institute.
  51. Maury, B. (2018). Sustainable competitive advantage and profitability persistence: Sources versus outcomes for assessing advantage. Journal of Business Research, 84, 100-113.
  52. Mikalef, P., Framnes, V.A., Danielsen, F., Krogstie, J., & Olsen, D. (2017). Big Data Analytics Capability: Antecedents and Business Value. PACIS 2017 Proceedings. 136.
  53. Mikalef, P., Pappas, O.I., Giannakos, N.M., Krogstie, J., & Lekakos, G. (2016). Big Data and Strategy: a Research Framework. Conference: Tenth Mediterranean Conference on Infor-mation Systems (MCIS), Cyprus.
  54. Normandeau, K. (2013). Beyond Volume, Variety and Velocity is the Issue of Big Data Veracity. Retrieved from September 12, 2013.
  55. O'Shannassy, T. (2008). Sustainable competitive advantage or temporary competitive advantage: improving understanding of an important strategy construct. Journal of Strategy and Man-agement, 1(2), 168-180.
  56. Pearson, T., & Wegener, R. (2013). Big data: the organizational challenge. Retrieved from on October 22, 2018.
  57. Pauleen, D.J., & Wang, W.Y.C. (2017). Does big data mean big knowledge? KM perspectives
  58. on big data and analytics. Journal of Knowledge Management, 21(1), 1-6.
  59. Popławski, K. (2017). 5 branż, które wydadzą najwięcej na Big Data, CRN. Retrieved from on March 21, 2017.
  60. Porter, M.E. (1980). Competitive Strategy. New York: Free Press.
  61. Porter, M.E. (1985). Competitive Advantage. Glenwood: Free Press.
  62. Powell, T.C. (2001). Competitive advantage: Logical and philosophical considerations. Strategic Management Journal, 22(9), 875-888.
  63. Power, D. (2002). Decision Support Systems: Concepts and Resources for Manager. Cedar Falls, IA.
  64. Prahalad, C.K., & Hamel, G. (1990). The Core Competence of the Corporation. Harvard Business
  65. Review, 79-91. Retrieved from scho-lar?hl=en&btnG=Search&q=intitle:Copyright+©2001.+All+Rights+Reserved.#0on September 20, 2018.
  66. Ratajczak-Mrozek, M. (2017). Network Embeddedness. Examining the Effect on Business Performance and Internationalization. Cham: Palgrave Macmillan.
  67. Rising, C.J., Kristensen, M., & Tjerrild-Hansen, S. (2014, Summer). Is Big Data too Big for SMEs? Leading Trends in Information Technology. Stanford University.
  68. Saxena, S., & Al-Tamimi, T.A.S.M. (2017). Big data and Internet of Things (IoT) technologies in Omani banks: a case study. Foresight, 19(4), 409-420.
  69. Shanmuganathan, S. (2014). From data mining and knowledge discovery to big data analytics and knowledge extraction for applications in science. Journal of Computer Science, 10, 12, 2658-2665.
  70. Sigalas, Ch. (2015). Competitive advantage: the known unknown concept. Management Decision, 53(9), 2004-2016.
  71. Srivastava, U., & Gopalkrishnan, S. (2015). Impact of big data analytics on banking sector: Learning for Indian banks. Procedia Computer Science, 50, 643-652.
  72. Sukumar, S.R., Natarajan, R., & Ferrell, R.K. (2015). Quality of Big Data in health care. International Journal of Health Care Quality Assurance, 28(6), 621-634.
  73. Schwarzl, S., Grabowska, M., (2015). Online marketing strategies: the future is here. Journal of International Studies, 8(2),187-196.
  74. Taylor, A.R. (2014). Postmodernist and consumerist influences on information consumption. Ky-bernetes, 43(6), 924-934.
  75. Veliyath, R., & Fitzgerald, E. (2000). Firm capabilities, business strategies, customer preferences, and hypercompetitive arenas: the sustainability of competitive advantages with implications for firm competitiveness. Competitiveness Review: An International Business Journal, 10(1), 56-82.
  76. Verma, S., Bhattacharyya, S.S., & Kumar, S. (2018). An extension of the technology acceptance model in the big data analytics system implementation environment. Information Processing & Management, 54(5), 791-806.
  77. Wacker, J.G. (1998). A definition of theory: research guidelines for different theory-building re-search methods in operations management. Journal of Operations Management, 16, 361-385.
  78. Wątróbski, J., Jankowski, J., & Ziemba, P. (2016). Multistage Performance Modelling in Digital Marketing Management. Economics and Sociology, 9(2), 101-125.
  79. Watson, H.J., & Marjanovic, O. (2013). Big data: the fourth data management generation. Business Intelligence Journal, 18(3), 4-8.
  80. Wu, X., Zhu, X., Wu, G.Q., & Ding, W. (2014). Data mining with big data. IEEE Transactions on Knowledge and Data Engineering, 26(1), 97-107.
  81. Zahra, S.A., Ireland, R.D., & Hitt, M.A. (2000). International Expansion by New Venture Firms: International Diversity, Mode of Market Entry, Technological Learning, and Performance. The Academy of Management Journal, 43, 925-950.
  82. Zhao, X., Yeung, K., Huang, Q., & Song, X. (2015). Improving the predictability of business failure of supply chain finance clients by using external big dataset. Industrial Management & Data Sys-tems, 115(9), 1683-1703.
  83. Zikopoulos, P., Parasuraman, K., Deutsch, T., Giles, J., & Corrigan, D. (2012). Harness the Power of Big Data The IBM Big Data Platform. NY: McGraw Hill Professional.


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