THE ROLE OF INFORMATION TECHNOLOGY IN IMPROVING BUSINESS PROCESS EFFICIENCY IN THE ERA OF ARTIFICIAL INTELLIGENCE
DOI:
https://doi.org/10.52188/jeas.v5i2.1309Keywords:
Information Technology, Artificial Intelligence, Efficiency, Business Process, Automation, Digital TransformationAbstract
The advancement of Information Technology (IT) and its integration with Artificial Intelligence (AI) has brought about a major transformation in the modern business world. This study aims to comprehensively examine the role of IT and AI in improving business process efficiency, using a literature study approach and global case analysis. The results of the study show that the implementation of AI-based IT systems can automate routine processes, accelerate decision-making, and improve service accuracy. Case studies from companies such as Amazon, Siemens, and JP Morgan Chase show significant operational time savings, cost reductions, and increased customer satisfaction. The discussion also covers implementation challenges such as infrastructure readiness, data quality, and HR competency. This study recommends a gradual strategy in technology adoption, strengthening digital literacy, and an ethical approach in utilizing AI to ensure sustainable efficiency. These findings can be a strategic reference for organizations that want to accelerate digital transformation and increase competitiveness in the industrial era 4.0.
References
Brynjolfsson, E., & McAfee, A. (2017). Machine, Platform, Crowd: Harnessing Our Digital Future. W. W. Norton & Company.
Schwab, K. (2016). The Fourth Industrial Revolution. World Economic Forum.
Laudon, K. C., & Laudon, J. P. (2020). Management Information Systems: Managing the Digital Firm (16th ed.). Pearson Education.
Porter, M. E., & Heppelmann, J. E. (2015). How Smart, Connected Products Are Transforming Companies. Harvard Business Review, 93(10), 96–114.
Deloitte Insights. (2023). State of AI in the Enterprise: 5th Edition. Deloitte Development LLC. Retrieved from https://www2.deloitte.com
Gartner. (2022). Top Strategic Technology Trends for 2022. Gartner Inc.
IDC. (2021). FutureScape: Worldwide Digital Transformation 2021 Predictions. International Data Corporation.
McKinsey & Company. (2023). The State of AI in 2023: Generative AI’s Breakout Year. Retrieved from https://www.mckinsey.com
IBM. (2022). Watson AI for Business: Success Stories and Impact. IBM White Paper.
PwC. (2022). AI Predictions 2022: Executive Survey. PricewaterhouseCoopers. Retrieved from https://www.pwc.com
MIT Sloan Management Review. (2021). How AI is Changing Decision Making in Business. Retrieved from https://sloanreview.mit.edu
World Economic Forum. (2020). The Future of Jobs Report 2020. Geneva: WEF.
LinkedIn. (2022). Global Talent Trends Report. LinkedIn Corporation. Retrieved from https://economicgraph.linkedin.com
Amazon. (2022). Annual Report and AI Strategy Overview. Amazon Inc.
JP Morgan Chase. (2021). AI and NLP in Banking Operations. JP Morgan Tech Division.
Siemens AG. (2021). Predictive Maintenance Powered by AI. White Paper. Retrieved from https://www.siemens.com
Unilever. (2020). Digital Recruitment Transformation with AI. Internal Case Study.
Tapscott, D., & Tapscott, A. (2016). Blockchain Revolution: How the Technology Behind Bitcoin Is Changing Money, Business, and the World. Penguin.
