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All Journal Applied Quantitative Analysis (AQA)
Arman, Md
Unknown Affiliation
Decision Sciences, Operations Research & Management Mathematics Social Sciences

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Exploring the Implication of ChatGPT AI for Business: Efficiency and Challenges Arman, Md; Lamiyar, Umama Rashid
Applied Quantitative Analysis Vol. 3 No. 2 (2023): December 2023
Publisher : Research Synergy Foundation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31098/quant.1385

Abstract

This empirical study aims to examine the impact of ChatGPT AI on various business sectors, evaluating its benefits and challenges. Specifically, the study analyzes how ChatGPT AI is transforming business operations and enhancing customer experience in customer service, e-commerce, healthcare, finance, marketing, and developer business sectors. Using a comprehensive literature review approach, this study draws on relevant academic articles to identify and analyze the key applications of AI in the business sector, the benefits realized, and the challenges faced in adopting this technology. The study explores the implications of ChatGPT AI for businesses, including its potential to improve efficiency, reduce costs, and enhance competitiveness. Additionally, ethical and legal considerations surrounding the use of ChatGPT AI in business operations are evaluated, including issues related to data privacy, bias, and transparency. The study provides insights into future directions for the application of ChatGPT AI in business and the potential impact of this technology on various business sectors. The objective is to provide a comprehensive review of the impact of ChatGPT AI on businesses, its potential benefits, and challenges for businesses looking to adopt this technology. Overall, this study highlights the importance of considering both the benefits and limitations of AI adoption in businesses, as well as the ethical and legal implications of its use.
A Statistical Analysis of the GDP and PCI of Bangladesh for the Coming Years Arman, Md
Applied Quantitative Analysis Vol. 3 No. 1 (2023): June 2023
Publisher : Research Synergy Foundation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31098/quant.1600

Abstract

The objective of this paper is to anticipate Bangladesh's economic future and predict sustainability by looking at the GDP and per capita income (PCI) figures. Since the nation's independence, statistics spanning 51 years have been taken into account to track its development, and data spanning the last 11 years have been used to anticipate the years to come. In this study, annual statistics from 1971 to 2022 were studied to forecast the upcoming years. The result manifests a slow but sustainable development in the country's growth with some fluctuations. Analyzing the GDP and PCI insights into the continuous growth and development of Bangladesh. Sustainable development is not only economic development but also balancing the economic, social, and environmental factors to ensure that the development will sustain in the long run and benefits everyone. The results illustrate a surprising picture of the future. The information comes from the World Bank, OCED, and Asian Development Bank's National Account Data. The Least Square Method and the Trend Projection Method, a variant of the linear regression technique, are used in the current study to evaluate data and predict future trends. According to the IMF, the globe will experience a severe recession-like situation in 2023. In order to anticipate Bangladesh's economic status, the current study uses GDP and PCI. GDP has expanded since 1971 on average at a rate of 4.4%, whereas PCI has grown on average at a 1.8%.
Co-Authors Lamiyar, Umama Rashid