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Journal : TechComp Innovations: Journal of Computer Science and Technology

Strategic Synergy: Integrating Business Management with Computer Science for Competitive Advantage Ahmad Nur Ihsan Purwanto; Athaya Abdan Hanif
TechComp Innovations: Journal of Computer Science and Technology Vol. 1 No. 1 (2024): TechComp Innovations: Journal of Computer Science and Technology
Publisher : Pusat Riset dan Inovasi Nasional Mabadi Iqtishad Al Islami

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70063/techcompinnovations.v1i1.23

Abstract

In today's digital age, the integration of business management principles with computer science and technology has become increasingly vital for organizations seeking sustainable growth and competitive advantage. This study delves into the multifaceted relationship between business management and computer science, exploring integration strategies, challenges, and the resultant implications. The objective of this research is to comprehensively analyze the integration of business management and computer science, shedding light on effective strategies, potential challenges, and the overall impact on organizational performance and innovation. This study adopts a library research approach, encompassing a thorough review of existing literature, scholarly articles, case studies, and industry reports. Information is gathered from reputable databases such as PubMed, IEEE Xplore, ACM Digital Library, and Google Scholar. The collected data are analyzed qualitatively to identify patterns, trends, and insights into the integration of business management and computer science. The findings of this research highlight various integration strategies employed by organizations to leverage computer science and technology for enhancing business management practices. These strategies encompass the adoption of data analytics, artificial intelligence, machine learning, blockchain, and other emerging technologies to streamline operations, optimize decision-making processes, and gain competitive advantage. Moreover, the study identifies challenges associated with integration, including data security concerns, skills gap, resistance to change, and ethical implications. Despite these challenges, successful integration initiatives have demonstrated significant improvements in organizational efficiency, innovation capability, and market positioning
Ethical Implications and Challenges of AI Implementation in Business Operations Ahmad Nur Ihsan Purwanto; Muhammad Fauzan; Tiara Widya; Nabiel Syarof Azzaky
TechComp Innovations: Journal of Computer Science and Technology Vol. 1 No. 2 (2024): TechComp Innovations: Journal of Computer Science and Technology
Publisher : Pusat Riset dan Inovasi Nasional Mabadi Iqtishad Al Islami

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70063/techcompinnovations.v1i2.52

Abstract

This study explores the ethical implications and challenges associated with the implementation of artificial intelligence (AI) in business operations. The research aims to identify key ethical concerns, such as data privacy, algorithmic bias, and workforce displacement, while analyzing their impact on organizational practices and stakeholder trust. Utilizing a library research approach, the study synthesizes insights from academic literature, industry reports, and case studies to examine the intersection of AI ethics and business performance. The findings highlight the need for transparent governance frameworks, inclusive algorithm design, and ethical AI policies to address these challenges effectively. The research underscores the importance of balancing technological innovation with ethical considerations, offering practical implications for businesses seeking to integrate AI responsibly into their operations