The Role of Big Data in Business Strategy: A Critical Review

Ejuma Martha Adaga,; Gold Nmesoma Okorie,; Zainab Efe Egieya,; Uneku Ikwue,; Chioma Ann Udeh,; Donald Obinna DaraOjimba,; Osato Itohan Oriekhoe,

doi:10.51594/csitrj.v4i3.686

Cited by 5 publications

References 39 publications

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The impact of big data on university libraries in Bangladesh

Rahman,

Ghazali,

Sawal

2024

IFLA Journal

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This study investigates the impact of big data on university libraries in Bangladesh, focusing on areas such as resource accessibility, decision-making, user experiences, academic research and information management. By conducting interviews with 21 library professionals and employing thematic analysis, the study reveals critical insights. Big data significantly enhances resource accessibility by enabling customized collections and supports user-centric decision-making in library operations. It also improves user experiences through personalized recommendations and seamless navigation. Moreover, big data's analysis of citation patterns and collaborative networks bolsters academic research while addressing information overload and optimizing information retrieval processes. This research provides a thorough examination of big data's practical implications in university libraries, offering valuable insights for professionals, researchers and policymakers. It emphasizes the necessity of a proactive approach to leveraging big data's transformative potential in knowledge management, thereby shaping the future of academic libraries.

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The impact of big data on university libraries in Bangladesh

Rahman,

Ghazali,

Sawal

2024

IFLA Journal

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Impact of additional IT investments on firm-level competitiveness

Fejes,

Stocker

2024

Veztud

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Competitiveness and digitalization are important topics for businesses, as in the rapidly changing environment, they determine the ability to survive and thrive. This study examines the impact of information technology (IT) investments on firms’ competitiveness. The study adopts the dynamic capability approach to examine how IT investments enable firms to adapt to digital transformation and generate value. This study employs causal econometrics methods to test the hypothesis that supplementary IT investments enhance the growth, efficiency, and capital accumulation of firms, which are key indicators of ex-ante competitiveness. The hypotheses are tested on a dataset of 65536 Hungarian firms from 1999 to 2014. Empirical evidence was found to support these hypotheses and confirm the positive relationship between IT investments and firm-level growth, efficiency, and capital accumulation. The findings indicate that a small IT investment does not improve efficiency, while an excessive investment is likely to include irrational investments as well.

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The Impact of Big Data Analytics on The Detection of Errors And Fraud in Accounting Processes

Shalhoob,

Halawani,

Alharbi

et al. 2024

RGSA

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Purpose: This study aims to discuss and investigate the role of big data analytics (BDA) in promoting error detection and preventing fraud in accounting operations. Methodology: It uses a secondary method of data collection (desk study) to explore the potential impact of BDA in enhancing error and fraud prevention on six key considerations including data quality and integrity; data privacy and security; real-time monitoring and alerts; integration with internal controls; ethical implications; and human experience. Finding: The analysis shows that the BDA enhances fraud detection by integrating data from multiple sources, using sophisticated algorithms to identify anomalies. Reduces false positives and improves accuracy. However, human expertise is essential for ethical standards and transparency. Implications: It has significant implications for the accounting profession, as it provides an addition in both theoretical knowledge and practical applications, theoretical implications include developing accounting knowledge, developing data-driven models, establishing ethical frameworks, and promoting interdisciplinary insights. On a practical level, it provides guidance for improving financial accuracy, fraud prevention, regulatory compliance, data-driven decision-making, and professional development for accountants. Contribution: It contributes to bridging the research gap in the aspect related to the analysis of big data and its impact on the quality of accountants' work, as this topic is of high importance to researchers, governments, policymakers, industries, companies, investors, and regulators, bridging the gap between accounting and data analytics. This interdisciplinary approach is critical in understanding the evolving landscape of the impact of big data analytics on financial transparency and accuracy of financial reporting. Article Type: Research Paper.

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The Role of Big Data in Business Strategy: A Critical Review

Cited by 5 publications

References 39 publications

The impact of big data on university libraries in Bangladesh

The impact of big data on university libraries in Bangladesh

Impact of additional IT investments on firm-level competitiveness

The Impact of Big Data Analytics on The Detection of Errors And Fraud in Accounting Processes

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