International Journal of Transformations in Business Management

(By Aryavart International University, India)

International Peer Reviewed (Refereed), Open Access Research Journal

E-ISSN : 2231-6868 | P-ISSN : 2454-468X

SJIF 2020: 6.336 |SJIF 2021 : 6.109 | ICV 2020=66.47

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Abstract

Vol: 11, Issue: 2 2021

Page: 83-93

Employability of Big Data Tools and Techniques for Efficacious Approaches to Analytics of Real World Business Scenarios

Ruchika Chakravarti

Received Date: 2021-05-24

Accepted Date: 2021-06-08

Published Date: 2021-06-24

Information is turning into an essential asset in the current science and development. Sadly, much is available what's more, set aside data that isn't used today. This data is known as dull data. Huge information is said to offer exceptional levels of business information concerning the penchants for purchasers and adversaries, broadcasting an upset in how organizations are composed and run. Associations endeavour to accomplish an upper hand through enormous information and business examination apparatuses. This paper discusses how dull information is utilized in associations and the advancements developed in the plan of action. We have investigated familiarity with dull information and how we can carry them out in the business model.

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References

  • Abbasi, A., Sarker, S., & Chiang, R. H. (2016). Big Data Research in Information Systems: Toward an Inclusive Research Agenda. Journal of the association for information systems, 17(2).
  • Agrawal, D., Das, S., & El Abbadi, A. (2011). Big data and cloud computing: current state and future opportunities. Paper presented at the Proceedings of the 14th International Conference on Extending Database Technology.
  • Akter, S., & Wamba, S. F. (2016). Big data analytics in E-commerce: a systematic review and agenda for future research. Electronic Markets, 26(2), 173-194.
  • Ashrafi, A., Ravasan, A. Z., Trkman, P., & Afshari, S. (2019). The role of business analytics capabilities in bolstering firms’ agility and performance. International Journal of Information Management, 47, 1-15.
  • Atzori, L., Iera, A., & Morabito, G. (2010). The internet of things: A survey. Computer Networks, 54(15), 2787-2805.
  • Brown, B., Chui, M., & Manyika, J. (2011). Are you ready for the era of ‘big data’? McKinsey Quarterly, 4(1), 24-35.
  • Chen, D. Q., Preston, D. S., & Swink, M. (2015). How the use of big data analytics affects value creation in supply chain management. Journal of Management Information Systems, 32(4), 4-39.
  • Chen, H., Chiang, R. H., & Storey, V. C. (2012a). Business intelligence and analytics: From big data to big impact. MIS quarterly, 36(4), 1165-1188.
  • Chen, H., Chiang, R. H., & Storey, V. C. (2012b). Business intelligence and analytics: From big data to big impact. MIS quarterly, 36(4).
  • Chiang, R. H., Grover, V., Liang, T.-P., & Zhang, D. (2018). Strategic value of big data and business analytics. In: Taylor & Francis.
  • Chung, W., & Zeng, D. (2018). Dissecting emotion and user influence in social media communities: An interaction modeling approach. Information & Management.
  • Conboy, K., Dennehy, D., & O'Connor, M. (2018). ‘Big time’: An examination of temporal complexity and business value in analytics. Information & Management.
  • Conboy, K., Mikalef, P., Dennehy, D., & Krogstie, J. (2019). Using business analytics to enhance dynamic capabilities in operations research: A case analysis and research agenda. European Journal of Operational Research.
  • Constantiou, 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.
  • Côrte-Real, N., Ruivo, P., & Oliveira, T. (2019). Leveraging Internet of Things and Big Data Analytics Initiatives in European and American Firms: Is data quality a way to extract business value? Information & Management.
  • Demoulin, N. T., & Coussement, K. (2018). Acceptance of text-mining systems: The signaling role of information quality. Information & Management.
  • Dong, J. Q., & Yang, C.-H. (2018). Business value of big data analytics: A systems-theoretic approach and empirical test. Information & Management, 103124.
  • Dremel, C., Herterich, M. M., Wulf, J., & Vom Brocke, J. (2018). Actualizing big data analytics affordances: A revelatory case study. Information & Management.
  • Dubey, R., Gunasekaran, A., Childe, S. J., Blome, C., & Papadopoulos, T. (2019). Big Data and Predictive Analytics and Manufacturing Performance: Integrating Institutional Theory, Resource?Based View and Big Data Culture. British Journal of Management, 30(2), 341-361.
  • George, G., Haas, M. R., & Pentland, A. (2014). Big data and management. In: Academy of Management Briarcliff Manor, NY.
  • Günther, W. A., Mehrizi, M. H. R., Huysman, M., & Feldberg, F. (2017). Debating big data: A literature review on realizing value from big data. The Journal of Strategic Information Systems.
  • Gupta, M., & George, J. F. (2016). Toward the development of a big data analytics capability. Information & Management, 53(8), 1049-1064.
  • Herschel, R., & Miori, V. M. (2017). Ethics & big data. Technology in Society, 49, 31-36.
  • Hindle, G., Kunc, M., Mortensen, M., Oztekin, A., & Vidgen, R. (2019). Business Analytics: Defining the field and identifying a research agenda. In: Elsevier.
  • Hindle, G. A., & Vidgen, R. (2018). Developing a business analytics methodology: A case study in the foodbank sector. European Journal of Operational Research, 268(3), 836-851.
  • Hodgkinson, G. P., & Healey, M. P. (2011). Psychological foundations of dynamic capabilities: reflexion and reflection in strategic management. Strategic management journal, 32(13), 1500-1516.
  • Janssen, M., van der Voort, H., & Wahyudi, A. (2017). Factors influencing big data decisionmaking quality. Journal of Business Research, 70, 338-345.
  • Ji, C., Li, Y., Qiu, W., Awada, U., & Li, K. (2012). Big data processing in cloud computing environments. Paper presented at the 2012 12th international symposium on pervasive systems, algorithms and networks.
  • Kim, H. (2015, August 13-15). Big data: The structure and value of big data analytics. Paper presented at the Proceedings of the Twenty-First Americas Conference on Information Systems, Puerto Rico.
  • LaValle, S., Lesser, E., Shockley, R., Hopkins, M. S., & Kruschwitz, N. (2011). Big data, analytics and the path from insights to value. MIT slogan management review, 52(2), 21.

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