ファン　タン　ロン   PHAM Tam Long    所属   立命館アジア太平洋大学  国際経営学部    職種   助教
言語種別	英語
発行・発表の年月	2022/04/28
形態種別	会議プロシーディングズ
査読	査読あり
標題	The progressive role of machine learning in enhancing the effectiveness of digital marketing in emerging economies
執筆形態	分担
掲載誌名	2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE)
掲載区分	国外
出版社・発行元	IEEE
巻・号・頁	pp.1640-1645
国際共著	国際共著
著者・共著者	S Jayashree, Neeru Sidana, Long Tam Pham, Litty Mariyam Kunju, B Ratnavalli, Durgaprasad Gangodkar
概要	The study investigates businesses have begun by developing new business models, processes, and technology. Most others are already seeing the potential of digital revolution through bold innovation efforts. Directors play an important role in strategy formulation to enhance business outcomes and control the narrative for the future. Artificial intelligence has received little attention. Deep learning machines may propel digital advertising to new heights, with Artificial Intelligence providing all the difference. This study seeks to determine the consequences of Indian customers' responses across different demographics to algorithms and their ability to sell, which may be the digitization marketing. We discovered that software developers' architecture is collaboration with marketing professionals who employ machines utilizing deep learning by taking consumer attitude, behavior, and choices into account. This will provide enormous benefits to businesses since correct information regarding customers will be readily available to marketers in the future. The performance of the machines under diverse settings is described using just a causal model and regression models. Furthermore, it provides practical, workable, and feasible research-driven answers to nearly every business-related challenge.
DOI	10.1109/ICACITE53722.2022.9823438