ISSN: 2222-6990
Open access
The purpose of this paper is to contribute to the literature on the impact of Big Data Analytics Capabilities (BDAC) on the Organizational Innovation Performance (OIP) with the transformational role of Management Accountant. By carrying out a literature review, this paper provides information for researchers and scholars to explore the emerging trends and implications of the above-mentioned relationship. A literature review highlights the emerging issues from the research conducted on Organizational Innovative Performance, Big Data and the role of Management Accountant in this relationship by focusing on: role of OIP, the importance of Big Data from the technological to the managerial paradigm as well as the role a Management Accountant can play in the era of Big Data. It is expected that identifying these contributions will help establish future research directions. The paper provides a number of avenues for potential research in this emerging area of investigation. The main aim of the key research questions posed is to further the contribution of Big Data towards research on Organizational Innovative Performance. The paper outlines how the organizations which are developing their approaches for big data analytics capabilities can focus on the factors and variables which are relevant for them to develop their big data analytics capabilities so as to develop their sustainable competitive advantages. This paper investigates the effects and implications which organizations can have by using Big Data to achieve innovative performance. At the same time, it provides an original understanding of the contextual importance of investing in the big data analytics capabilities development. It also considers the role played by management accountant as a bridge between the data scientists and the business requirements in a big data environment. As a result, the current study aims to show the impact which Big Data Analytics (BDA) Capabilities have on the organizational innovation performance with organizational culture and role of management accountant as moderators. The study will use data from surveys of CFOs, CEOs or CIOs of the pharmaceutical companies of Pakistan and will test a proposed model, using bootstrapped moderated analysis. This research considers the resource-based view of the firm as well as the socio-materiality theory. Practical implications for top executives are also discussed. There is a need to convert big data into meaningful information for strategic decision making. Management accountant plays vital role with the help of new skills set to develop newer expertise and make a bridge between data analysts and business executives as a moderator. To this end, this research focuses on identifying the gaps in the existing literature as well as proposing the course of action which can be undertaken for empirical study.
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), I.
Ahmed, E. S. A., & Saeed, R. A. (2014). A survey of big data cloud computing security. International Journal of Computer Science and Software Engineering (IJCSSE), 3(1), 78-85.
Alam, M. M. (2011). Error corrected location determination in an outdoor wireless environment by using estimation, filtering, prediction and fusion techniques: A wifi application by using terrain based knowledge.
Anand, A., Wamba, F. S., & Sharma, R. (2013). The effects of firm IT capabilities on firm performance: the mediating effects of process improvement.
Baldvinsdottir, G., Burns, J., Nørreklit, H., & Scapens, R. W. (2009). The management accountant's role: conclusions. Financial management, 33-34.
Bean, R., & Kiron, D. (2013). Organizational alignment is key to big data success. MIT sloan management review, 54(3), 1-6.
Bechor, T., Neumann, S., Zviran, M., & Glezer, C. (2010). A contingency model for estimating success of strategic information systems planning. Information & Management, 47(1), 17-29.
Bharadwaj, A., El Sawy, O. A., Pavlou, P. A., & Venkatraman, N. (2013). Digital business strategy: toward a next generation of insights. MIS quarterly, 471-482.
Bharadwaj, A. S. (2000). A resource-based perspective on information technology capability and firm performance: an empirical investigation. MIS quarterly, 169-196.
Bonn, I., & Fisher, J. (2011). Sustainability: the missing ingredient in strategy. Journal of business strategy.
Bromwich, M. (1996). Strategic management accounting in management accounting handbook. The Chartered Institute of Management Accountants, 203-227.
Brynjolfsson, E., & Hitt, L. M. (2000). Beyond computation: Information technology, organizational transformation and business performance. Journal of Economic perspectives, 14(4), 23-48.
Brynjolfsson, E., & Yang, S. (1996). Information technology and productivity: a review of the literature. In Advances in computers (Vol. 43, pp. 179-214): Elsevier.
Burns, J., & Baldvinsdottir, G. (2007). The changing role of management accountants. Issues in management accounting, 3, 117-132.
Chen, C. P., & Zhang, C.-Y. (2014). Data-intensive applications, challenges, techniques and technologies: A survey on Big Data. Information sciences, 275, 314-347.
Chen, H., Chiang, R. H., & Storey, V. C. (2012). Business intelligence and analytics: From big data to big impact. MIS quarterly, 36(4).
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.
Cooper, R. (1996). The changing practice of management accounting. MANAGEMENT ACCOUNTING-LONDON-, 74, 26-35.
Devaraj, S., & Kohli, R. (2003). Performance impacts of information technology: Is actual usage the missing link? Management science, 49(3), 273-289.
Douglas, K. (2012). Infographic: big data brings marketing big numbers. In.
Duval-Couetil, N., Shartrand, A., & Reed, T. (2016). The Role of Entrepreneurship Program Models and Experiential Activities on Engineering Student Outcomes. Advances in Engineering Education, 5(1), n1.
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, 26(3), 191-209.
Gupta. (2016). Toward the development of a big data analytics capability. Information & Management, 53(8), 1049-1064.
Hagstrom, M. (2012). High-performance analytics fuels innovation and inclusive growth: use big data, hyperconnectivity and speed to intelligence to get true value in the digital economy. Journal of Advanced Analytics, 2, 3-4.
Hilbert, M., & López, P. (2011). The world’s technological capacity to store, communicate, and compute information. science, 332(6025), 60-65.
Holzinger, A., Stocker, C., Ofner, B., Prohaska, G., Brabenetz, A., & Hofmann-Wellenhof, R. (2013). Combining HCI, natural language processing, and knowledge discovery-potential of IBM content analytics as an assistive technology in the biomedical field. Paper presented at the International Workshop on Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data.
Index, C. V. N. (2016). The Zettabyte Era—Trends and Analysis, Cisco. Cisco company, June.
Kaisler, S., Armour, F., Espinosa, J. A., & Money, W. (2013). Big data: Issues and challenges moving forward. Paper presented at the 2013 46th Hawaii International Conference on System Sciences.
Kaplan, R. S. (1998). Innovation action research: creating new management theory and practice. Journal of management accounting research, 10, 89.
Khan, N., Yaqoob, I., Hashem, I. A. T., Inayat, Z., Ali, M., Kamaleldin, W., . . . Gani, A. (2014). Big data: survey, technologies, opportunities, and challenges. The Scientific World Journal, 2014.
Kiron, D. (2017). Lessons from becoming a data-driven organization. MIT sloan management review, 58(2).
Lavie, D. (2006). Capability reconfiguration: An analysis of incumbent responses to technological change. Academy of Management Review, 31(1), 153-174.
Malmi, T., Seppala, T., & Rantanen, M. (2001). The practice of management accounting in Finland-a change? Liiketaloudellinen aikakauskirja, 480-501.
Manyika, J. (2011). Big data: The next frontier for innovation, competition, and productivity. http://www. mckinsey.
com/Insights/MGI/Research/Technology_and_Innovation/Big_data_The_next_frontier_for_innovation.
Marr, B. (2015). Big Data: Using SMART big data, analytics and metrics to make better decisions and improve performance: John Wiley & Sons.
Mikalef, P., Framnes, V. A., Danielsen, F., Krogstie, J., & Olsen, D. (2017). Big Data Analytics Capability: Antecedents and Business Value. Paper presented at the PACIS.
Mikalef, P., Pappas, I. O., Krogstie, J., & Giannakos, M. (2018). Big data analytics capabilities: a systematic literature review and research agenda. Information Systems and e-Business Management, 16(3), 547-578.
Mikalef, P., & Pateli, A. (2017). Information technology-enabled dynamic capabilities and their indirect effect on competitive performance: Findings from PLS-SEM and fsQCA. Journal of Business Research, 70, 1-16.
Mishra, D., & Kanti, S. (2011). Management Accountant: Role & future challenges. Management Accountant: Role & Future Challenges (March 16, 2011).
Mukherjee, S., & Shaw, R. (2016). Big data–concepts, applications, challenges and future scope. International Journal of Advanced Research in Computer and Communication Engineering, 5(2), 66-74.
Petter, S., DeLone, W., & McLean, E. R. (2013). Information systems success: The quest for the independent variables. Journal of management information systems, 29(4), 7-62.
Popovi?, A., Hackney, R., Tassabehji, R., & Castelli, M. (2018). The impact of big data analytics on firms’ high value business performance. Information Systems Frontiers, 20(2), 209-222.
Radicati, S., & Hoang, Q. (2012). Email statistics report, 2012-2016. The Radicati Group. Inc., London.
Raghupathi, W., & Raghupathi, V. (2014). Big data analytics in healthcare: promise and potential. Health information science and systems, 2(1), 3.
Ransbotham, S., & Kiron, D. (2017). Analytics as a source of business innovation. MIT sloan management review, 58(3).
Report, A. (2014). Retrieved from Big data analytic is just not a passing trend. http://www.analysysmason.com/Research/Content/Reports/Big-dataanalytics-
Jul2014/ (last visited: September 16th, 2016)
Riaz, F., Alam, M., & Ali, A. (2017). Filtering the big data based on volume, variety and velocity by using Kalman filter recursive approach. Paper presented at the 2017 IEEE 3rd International Conference on Engineering Technologies and Social Sciences (ICETSS).
Roach, S. S. (1987). America's technology dilemma: A profile of the information economy: Morgan Stanley.
Ross, J. W., Beath, C. M., & Quaadgras, A. (2013). You may not need big data after all. Harvard Business Review, 91(12), 90-+.
Russom, P. (2011). Big data analytics. TDWI best practices report, fourth quarter, 19(4), 1-34.
Sagiroglu, S., & Sinanc, D. (2013). Big data: A review. Paper presented at the 2013 International Conference on Collaboration Technologies and Systems (CTS).
Sharma, R., Mithas, S., & Kankanhalli, A. (2014). Transforming decision-making processes: a research agenda for understanding the impact of business analytics on organisations. In: Taylor & Francis.
Smart, B. D. (2005). Topgrading: How leading companies win by hiring, coaching, and keeping the best people: Penguin.
Solow, R. M. (1987). We'd better watch out. New York Times Book Review, 36.
Srinivasan, R., & Swink, M. (2018). An investigation of visibility and flexibility as complements to supply chain analytics: An organizational information processing theory perspective. Production and Operations Management, 27(10), 1849-1867.
Statistics, T. U. (2016). Internetlivestats. com http://www. internetlivestats. com/twitter-statistics. In: Accessed.
Strassmann, P. A. (1990). The business value of computers: an executive's guide: Information Economics Press.
Strawn, G. O. (2012). Scientific Research: How Many Paradigms? Educause Review, 47(3), 26.
Talia, D. (2013). Clouds for scalable big data analytics. Computer(5), 98-101.
Tarigan, J., & Kunto, Y. S. (2008). Application of Accounting Concepts in the Workplace: A Research of Management Accountant in Surabaya, Indonesia. Journal of International Business Research, 7, 89.
Teece, D. J. (2007). Explicating dynamic capabilities: the nature and microfoundations of (sustainable) enterprise performance. Strategic management journal, 28(13), 1319-1350.
Van Den Dam, R. (2013). Big data a sure thing for telecommunications: Telecom's future in big data. Paper presented at the 2013 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery.
Vidgen, R., Shaw, S., & Grant, D. B. (2017). Management challenges in creating value from business analytics. European Journal of Operational Research, 261(2), 626-639.
Waller, M. A., & Fawcett, S. E. (2013). Data science, predictive analytics, and big data: a revolution that will transform supply chain design and management. Journal of Business logistics, 34(2), 77-84.
Wamba, S. F., 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.
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.
Wang, G., Gunasekaran, A., Ngai, E. W., & Papadopoulos, T. (2016). Big data analytics in logistics and supply chain management: Certain investigations for research and applications. International Journal of Production Economics, 176, 98-110.
Yin, S., & Kaynak, O. (2015). Big data for modern industry: challenges and trends [point of view]. Proceedings of the IEEE, 103(2), 143-146.
Yiu, C. (2012). The big data opportunity. Policy exchange, 8, 813.
Zollo, M., & Winter, S. G. (2002). Deliberate learning and the evolution of dynamic capabilities. Organization Science, 13(3), 339-351.
In-Text Citation: (Munir et al., 2021)
To Cite this Article: Munir, S., Rasid, S. Z. A., Aamir, M., Jamil, F., & Ahmed, I. (2021). Big Data Analytics and Innovation Performance with the Transformational Role of Management Accountant. International Journal of Academic Research in Business and Social Sciences, 11(11), 1180 – 1197.
Copyright: © 2021 The Author(s)
Published by HRMARS (www.hrmars.com)
This article is published under the Creative Commons Attribution (CC BY 4.0) license. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this license may be seen at: http://creativecommons.org/licences/by/4.0/legalcode