The Role of Big Data Analytics in Supply Chain “3Fs”: Financial Reporting, Financial Decision Making and Financial Performance “An Applied Study” | ||||
| الفکر المحاسبى | ||||
| Article 4, Volume 26, Issue 2, July 2022, Page 207-268 PDF (1.12 MB) | ||||
| Document Type: المقالة الأصلية | ||||
| DOI: 10.21608/atasu.2022.259858 | ||||
 View on SCiNiTO | ||||
| Author | ||||
| Nevine Sobhy Abdel Megeid | ||||
| College of Management and Technology Arab Academy for Science, Technology and Maritime Transport | ||||
| Abstract | ||||
| Big Data has a big impact on accounting as nowadays it makes new sorts of unstructured data and information accessible via social media, audio, video, photos, and textual information, which can improve financial accounting, reporting, and managerial accounting procedures. Big Data will improve the quality and relevance of accounting information in financial accounting, resulting in increased transparency and utility of information for auditors, management, and stakeholders in the decision-making process. The era of the internet and Big Data Analytics permits the collection of enterprise operations, consumer preferences, and market trends in structured and unstructured information. Big Data is heavily intertwined with financial reporting and financial management because Big Data is required for company management and operation, as well as making better real-time decisions and judgments. Big Data plays a crucial role in human resources, management, marketing, production and operation management, and finance, so it needs to integrate business analytics into a company's strategy. This research used a questionnaire for collecting data that was analyzed using the Statistical Package for the Social Sciences (SPSS). Questions about major SC decision procedures, their extent of application in the supply chain, and the influence of Big Data analytics on financial reporting, financial decision making, and financial performance were included in the questionnaire. In the quantitative investigation, a sampling questionnaire was utilized to collect data, with a questionnaire as the data collection technique. The original data, acquired from 75 respondents in Egypt who worked in 11 different businesses, has been analyzed. The (SPSS) package was used to evaluate the collected data. The study included a reliability test, descriptive analysis, and frequency analysis. With the advancement of Big Data technology, the question of whether and how to invest in Big Data business for supply chain members to gain a lasting competitive advantage has arisen. The goal of our study was to evaluate Big Data business investment and its long-term effects on the supply chain in terms of financial reporting, decision-making, and performance evaluation. This research seeks to fill the missing gap regarding how Big Data is applied in the supply chain management process. The results reveal that using Big Data enhances supply chain performance and that it can be measured as operational, market, and financial performance. The findings revealed that today's data environment differs from previous ones in terms of data availability and immediacy, as well as the capacity to access it. The use of Big Data Analytics (BDA) and the technologies that use it presents finance and management accounting professionals with both opportunities and challenges. Accounting and finance professionals must take advantage of opportunities to create value around Big Data in order to stay relevant. | ||||
| Keywords | ||||
| Big Data; Big Data Analytics; Supply Chain; Supply Chain Management; Financial Reporting; Financial Decision Making; Financial Performance; Egypt | ||||
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