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Applying the Technology Acceptance Model (TAM) in Information Technology System to Evaluate the Adoption of Decision Support System
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作者 Md Azhad Hossain Anamika Tiwari +3 位作者 Sanchita Saha ashok ghimire Md Ahsan Ullah Imran Rabeya Khatoon 《Journal of Computer and Communications》 2024年第8期242-256,共15页
With the beginning of the information systems’ spreading, people started thinking about using them for making business decisions. Computer technology solutions, such as the Decision Support System, make the decision-... With the beginning of the information systems’ spreading, people started thinking about using them for making business decisions. Computer technology solutions, such as the Decision Support System, make the decision-making process less complex and simpler for problem-solving. In order to make a high-quality business decision, managers need to have a great deal of appropriate information. Nonetheless, this complicates the process of making appropriate decisions. In a situation like that, the possibility of using DSS is quite logical. The aim of this paper is to find out the intended use of DSS for medium and large business organizations in USA by applying the Technology Acceptance Model (TAM). Different models were developed in order to understand and predict the use of information systems, but the information systems community mostly used TAM to ensure this issue. The purpose of the research model is to determine the elements of analysis that contribute to these results. The sample for the research consisted of the target group that was supposed to have completed an online questionnaire about the manager’s use of DSS in medium and large American companies. The information obtained from the questionnaires was analyzed through the SPSS statistical software. The research has indicated that, this is primarily used due to a significant level of Perceived usefulness and For the Perceived ease of use. 展开更多
关键词 Information Technology Decision Support System Business Organization in USA Technology Acceptance Model
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Exploring the Latest Trends in AI Technologies: A Study on Current State, Application and Individual Impacts
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作者 Md Ahsan Ullah Imran Mustakim Bin Aziz +2 位作者 Anamika Tiwari Sanchita Saha ashok ghimire 《Journal of Computer and Communications》 2024年第8期21-36,共16页
Artificial Intelligence (AI) offers immediate insights to penetrate the overwhelming volume of everyday security warnings. The current body of research mostly examines the use of AI in the field of cyber security, but... Artificial Intelligence (AI) offers immediate insights to penetrate the overwhelming volume of everyday security warnings. The current body of research mostly examines the use of AI in the field of cyber security, but it does not adequately address the visual inspection of AI applications. The advent of AI has led to noticeable structural changes in the field of cyber security. This study facilitates the advancement of theory about artificial intelligence (AI) across several fields. It assists researchers in determining research paths and serves as a resource for corporations and governments to strategize the use of AI in areas such as cyber security, education, healthcare, and work-life balance. Numerous nations, organizations, and writers are intricately linked via cooperation and citation networks. Artificial intelligence is an academic discipline focused on the research and advancement of computer systems, robots, and other creations that possess human-like intelligence, which is defined by cognitive powers, learning capabilities, and adaptability. This research aimed to evaluate the present trajectory and influence of Artificial Intelligence (AI) on education, healthcare, cybersecurity, and work-life balance. Based on an initial examination, this research focused on evaluating the use and impact of AI in many domains, using a specific narrative and framework. The findings of this study will enable researchers to comprehend the prevailing pattern and the influence of people on the integration of AI into daily life. 展开更多
关键词 Artificial Intelligence Cybersecurity Healthcare AI on Education Work-Life Balance
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