Machine learning-based multimedia services for business model evaluation. (January 2022)

• Record Type: Journal Article
• Authors: Zhong, Xiaoying; Tian, Xuejiao; Thilak, K. Deepa; M, Anbarasan
• Is Part Of: Computers & electrical engineering. Volume 97(2022)
• Publication Date: 2022-01
• Subjects: Decision support system -- Machine learning -- Multimedia -- Business model evaluation; Computer engineering -- Periodicals; Electrical engineering -- Periodicals; Electrical engineering -- Data processing -- Periodicals; Ordinateurs -- Conception et construction -- Périodiques; Électrotechnique -- Périodiques; Électrotechnique -- Informatique -- Périodiques; Computer engineering; Electrical engineering; Electrical engineering -- Data processing; Periodicals; Electronic journals; 621.302854
• DOI: 10.1016/j.compeleceng.2021.107605
• Languages: English
• ISSNs: 0045-7906

Abstract

Abstract: A business model evaluation refers to how a company uses its capital to provide value to consumers while optimizing income and growth. Entrepreneurs are facing important challenges in executing their market development based on resource-centered business models. Hence, the Multimedia-assisted Business Evaluation Model (MBEM) based on machine learning has been proposed to improve business efficiency. Multimedia has the right to prohibit third persons from infringing a commercial model that involves the selling and distributing sound files for digital content by sending patents for the online distribution of music and video. It can be useful to produce a broad range of design proposals and find the newest innovations to create modern solutions to challenging structures and become more competitive markets. A Decision Support System (DSSs) based on machine learning for information systems supports organizational and business decision-making. The experimental results show that the proposed MBEM model enhances business evaluation, decision making, performance, and profitability compared to other popular methods.