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Assessing the impact of big data analytics on decision-making processes, forecasting, and performance of a firm

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  • Chatterjee, Sheshadri
  • Chaudhuri, Ranjan
  • Gupta, Shivam
  • Sivarajah, Uthayasankar
  • Bag, Surajit

Abstract

There are various kinds of applications of BDA in the firms. Not many studies are there which deal with the impact of BDA towards issues like forecasting, decision-making, as well as performance of the firms simultaneously. So, there exists a gap in the research. In such a background, this study aims at examining the impacts of BDA on the process of decision-making, forecasting, as well as firm performance. Using resource-based view (RBV) as well as dynamic capability view (DCV) and related research studies, a research model was proposed conceptually. This conceptual model was validated taking help of PLS-SEM approach considering 366 respondents from Indian firms. This study has highlighted that smart decision making and accurate forecasting process can be achieved by using BDA. This research has demonstrated that there is a considerable influence of adoption of BDA on decision making process, forecasting process, as well as overall firm performance. However, the present study suffers from the fact that the study results depend on the cross-sectional data which could invite defects of causality and endogeneity bias. The present research work also found that there is no impact of different control variables on the firm's performance.

Suggested Citation

  • Chatterjee, Sheshadri & Chaudhuri, Ranjan & Gupta, Shivam & Sivarajah, Uthayasankar & Bag, Surajit, 2023. "Assessing the impact of big data analytics on decision-making processes, forecasting, and performance of a firm," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    • Handle: RePEc:eee:tefoso:v:196:y:2023:i:c:s0040162523005097
    DOI: 10.1016/j.techfore.2023.122824
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    1. Wang, Gang & Gunasekaran, Angappa & Ngai, Eric W.T. & Papadopoulos, Thanos, 2016. "Big data analytics in logistics and supply chain management: Certain investigations for research and applications," International Journal of Production Economics, Elsevier, vol. 176(C), pages 98-110.
    2. Kang, Yanfei & Spiliotis, Evangelos & Petropoulos, Fotios & Athiniotis, Nikolaos & Li, Feng & Assimakopoulos, Vassilios, 2021. "Déjà vu: A data-centric forecasting approach through time series cross-similarity," Journal of Business Research, Elsevier, vol. 132(C), pages 719-731.
    3. van der Voort, Haiko & van Bulderen, Sabine & Cunningham, Scott & Janssen, Marijn, 2021. "Data science as knowledge creation a framework for synergies between data analysts and domain professionals," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    4. Cheon-Pyo Lee & Jung P Shim, 2007. "An exploratory study of radio frequency identification (RFID) adoption in the healthcare industry," European Journal of Information Systems, Taylor & Francis Journals, vol. 16(6), pages 712-724, December.
    5. Bag, Surajit & Dhamija, Pavitra & Singh, Rajesh Kumar & Rahman, Muhammad Sabbir & Sreedharan, V. Raja, 2023. "Big data analytics and artificial intelligence technologies based collaborative platform empowering absorptive capacity in health care supply chain: An empirical study," Journal of Business Research, Elsevier, vol. 154(C).
    6. Mishra, Anubhav & Maheswarappa, Satish S. & Maity, Moutusy & Samu, Sridhar, 2018. "Adolescent's eWOM intentions: An investigation into the roles of peers, the Internet and gender," Journal of Business Research, Elsevier, vol. 86(C), pages 394-405.
    7. Konstantina Spanaki & Zeynep Gürgüç & Richard Adams & Catherine Mulligan, 2018. "Data supply chain (DSC): research synthesis and future directions," International Journal of Production Research, Taylor & Francis Journals, vol. 56(13), pages 4447-4466, July.
    8. Khalfaoui, Rabeh & Mefteh-Wali, Salma & Viviani, Jean-Laurent & Ben Jabeur, Sami & Abedin, Mohammad Zoynul & Lucey, Brian M., 2022. "How do climate risk and clean energy spillovers, and uncertainty affect U.S. stock markets?," Technological Forecasting and Social Change, Elsevier, vol. 185(C).
    9. Gunasekaran, Angappa & Papadopoulos, Thanos & Dubey, Rameshwar & Wamba, Samuel Fosso & Childe, Stephen J. & Hazen, Benjamin & Akter, Shahriar, 2017. "Big data and predictive analytics for supply chain and organizational performance," Journal of Business Research, Elsevier, vol. 70(C), pages 308-317.
    10. Prasanna Tambe, 2014. "Big Data Investment, Skills, and Firm Value," Management Science, INFORMS, vol. 60(6), pages 1452-1469, June.
    11. Sheshadri Chatterjee & Kalyan Kumar Bhattacharjee & Chia-Wen Tsai & Amit Kumar Agrawal, 2021. "Impact of peer influence and government support for successful adoption of technology for vocational education: A quantitative study using PLS-SEM technique," Quality & Quantity: International Journal of Methodology, Springer, vol. 55(6), pages 2041-2064, December.
    12. Armstrong, J. Scott & Overton, Terry S., 1977. "Estimating Nonresponse Bias in Mail Surveys," MPRA Paper 81694, University Library of Munich, Germany.
    13. Sharma, Mahak & Sehrawat, Rajat & Daim, Tugrul & Shaygan, Amir, 2021. "Technology assessment: Enabling Blockchain in hospitality and tourism sectors," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
    14. Valery S. Katkalo & Christos N. Pitelis & David J. Teece, 2010. "Introduction: On the nature and scope of dynamic capabilities," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 19(4), pages 1175-1186, August.
    15. Akhtar, Pervaiz & Khan, Zaheer & Tarba, Shlomo & Jayawickrama, Uchitha, 2018. "The Internet of Things, dynamic data and information processing capabilities, and operational agility," Technological Forecasting and Social Change, Elsevier, vol. 136(C), pages 307-316.
    16. Akter, Shahriar & Gunasekaran, Angappa & Wamba, Samuel Fosso & Babu, Mujahid Mohiuddin & Hani, Umme, 2020. "Reshaping competitive advantages with analytics capabilities in service systems," Technological Forecasting and Social Change, Elsevier, vol. 159(C).
    17. Shih-Chia Huang & Suzanne McIntosh & Stanislav Sobolevsky & Patrick C. K. Hung, 2017. "Big Data Analytics and Business Intelligence in Industry," Information Systems Frontiers, Springer, vol. 19(6), pages 1229-1232, December.
    18. Md Shajalal & Petr Hajek & Mohammad Zoynul Abedin, 2023. "Product backorder prediction using deep neural network on imbalanced data," International Journal of Production Research, Taylor & Francis Journals, vol. 61(1), pages 302-319, January.
    19. Dubey, Rameshwar & Gunasekaran, Angappa & Childe, Stephen J. & Bryde, David J. & Giannakis, Mihalis & Foropon, Cyril & Roubaud, David & Hazen, Benjamin T., 2020. "Big data analytics and artificial intelligence pathway to operational performance under the effects of entrepreneurial orientation and environmental dynamism: A study of manufacturing organisations," International Journal of Production Economics, Elsevier, vol. 226(C).
    20. Aydiner, Arafat Salih & Tatoglu, Ekrem & Bayraktar, Erkan & Zaim, Selim & Delen, Dursun, 2019. "Business analytics and firm performance: The mediating role of business process performance," Journal of Business Research, Elsevier, vol. 96(C), pages 228-237.
    21. Ravi Srinivasan & Morgan Swink, 2018. "An Investigation of Visibility and Flexibility as Complements to Supply Chain Analytics: An Organizational Information Processing Theory Perspective," Production and Operations Management, Production and Operations Management Society, vol. 27(10), pages 1849-1867, October.
    22. Dubey, Rameshwar & Gunasekaran, Angappa & Childe, Stephen J. & Papadopoulos, Thanos & Hazen, Benjamin & Giannakis, Mihalis & Roubaud, David, 2017. "Examining the effect of external pressures and organizational culture on shaping performance measurement systems (PMS) for sustainability benchmarking: Some empirical findings," International Journal of Production Economics, Elsevier, vol. 193(C), pages 63-76.
    23. David J. Teece, 2012. "Dynamic Capabilities: Routines versus Entrepreneurial Action," Journal of Management Studies, Wiley Blackwell, vol. 49(8), pages 1395-1401, December.
    24. Sidney G. Winter, 2003. "Understanding dynamic capabilities," Strategic Management Journal, Wiley Blackwell, vol. 24(10), pages 991-995, October.
    25. Pham, Thuy-Dzung T. & Lo, Fang-Yi, 2023. "How does top management team diversity influence firm performance? A causal complexity analysis," Technological Forecasting and Social Change, Elsevier, vol. 186(PB).
    26. Yuk, Hyeyeon & Garrett, Tony C., 2023. "Does customer participation moderate the effects of innovation on cost-based financial performance? An examination of different forms of customer participation," Journal of Business Research, Elsevier, vol. 156(C).
    27. Ritu Agarwal & Vasant Dhar, 2014. "Editorial —Big Data, Data Science, and Analytics: The Opportunity and Challenge for IS Research," Information Systems Research, INFORMS, vol. 25(3), pages 443-448, September.
    28. Sheshadri Chatterjee & Ranjan Chaudhuri, 2022. "Supply chain sustainability during turbulent environment: Examining the role of firm capabilities and government regulation," Operations Management Research, Springer, vol. 15(3), pages 1081-1095, December.
    29. Brewis, Claire & Dibb, Sally & Meadows, Maureen, 2023. "Leveraging big data for strategic marketing: A dynamic capabilities model for incumbent firms," Technological Forecasting and Social Change, Elsevier, vol. 190(C).
    30. Choi, Hyoung-Yong & Park, Junyoung, 2022. "Do data-driven CSR initiatives improve CSR performance? The importance of big data analytics capability," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    31. David J. Teece & Gary Pisano & Amy Shuen, 1997. "Dynamic capabilities and strategic management," Strategic Management Journal, Wiley Blackwell, vol. 18(7), pages 509-533, August.
    32. Neirotti, Paolo & Pesce, Danilo & Battaglia, Daniele, 2021. "Algorithms for operational decision-making: An absorptive capacity perspective on the process of converting data into relevant knowledge," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    33. Anindita Chakravarty & Rajdeep Grewal & V. Sambamurthy, 2013. "Information Technology Competencies, Organizational Agility, and Firm Performance: Enabling and Facilitating Roles," Information Systems Research, INFORMS, vol. 24(4), pages 976-997, December.
    34. Upadhyay, Parijat & Kumar, Anup, 2020. "The intermediating role of organizational culture and internal analytical knowledge between the capability of big data analytics and a firm’s performance," International Journal of Information Management, Elsevier, vol. 52(C).
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    Cited by:

    1. Huynh, Minh-Tay & Nippa, Michael & Aichner, Thomas, 2023. "Big data analytics capabilities: Patchwork or progress? A systematic review of the status quo and implications for future research," Technological Forecasting and Social Change, Elsevier, vol. 197(C).

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