ANALYSIS OF DATA PROCESSING IN MANAGEMENT INFORMATION SYSTEMS
DOI:
https://doi.org/10.61722/jiem.v2i11.3017Keywords:
Keywords: Management Information Systems, Data Processing, Big Data, Artificial Intelligence, Decision-Making, System Integration, Data Security, Predictive Analysis.Abstract
In the digital era, data plays a crucial role in the success of business management processes. The integration of Management Information Systems (MIS) enables organizations to efficiently collect, process, and analyze data for better decision-making. This study aims to analyze data processing in MIS, highlighting challenges, such as security issues and system integration, while also exploring solutions involving advanced technologies like Big Data and Artificial Intelligence (AI). The findings demonstrate that effective data processing significantly enhances operational efficiency and decision accuracy. Furthermore, the use of AI in MIS allows for predictive analysis, which optimizes decision-making in dynamic business environments. The study concludes that organizations must strategically implement advanced technologies to fully realize the potential of MIS and maintain competitive advantages.
References
Davenport, T. H., & Harris, J. G. (2007). Competing on Analytics: The New Science of Winning. Harvard Business Review Press.
High, P. A. (2013). Implementing World Class IT Strategy: How IT Can Drive Organizational Innovation. Wiley.
Johnson, B., Smith, R., & Brown, T. (2020). Ethical Considerations in Data Analytics. Journal of Business Ethics, 155(4), 977-992.
Laudon, K. C., & Laudon, J. P. (2018). Management Information Systems: Managing the Digital Firm (16th ed.). Pearson.
Li, S., & Wang, Y. (2021). Organizational Culture and Data-Driven Decision Making. Journal of Management, 47(2), 321-346.
McAfee, A., & Brynjolfsson, E. (2012). Big Data: The Management Revolution. Harvard Business Review, 90(10), 60-68.
McKeen, J. D., & Smith, H. A. (2007). Making Sense of Data Analytics: Stories from the Field. Communications of the ACM, 50(9), 73-78.
Park, J., & Cho, J. (2019). Cultural Barriers to Data Analytics Adoption in Organizations. Journal of Business Research, 98, 35-45.
Robertson, A., & Robertson, J. (2019). Ethical Data Handling in Decision-Making Processes. Ethics and Information Technology, 21(2), 145-157.
Chen, H., Chiang, R. H. L., & Storey, V. C. (2012). Business Intelligence and Analytics: From Big Data to Big Impact. MIS Quarterly, 36(4), 1165-1188.
Han, J., Kamber, M., & Pei, J. (2011). Data Mining: Concepts and Techniques (3rd ed.). Morgan Kaufmann.
Laudon, K. C., & Laudon, J. P. (2018). Management Information Systems: Managing the Digital Firm (16th ed.). Pearson.
Bertalanffy, L. von. (1968). General System Theory: Foundations, Development, Applications. George Braziller.
Laudon, K. C., & Laudon, J. P. (2020). Management Information Systems: Managing the Digital Firm (16th ed.). Pearson.
O’Brien, J. A., & Marakas, G. M. (2011). Management Information Systems (10th ed.). McGraw-Hill.
What is data processing? Definition, steps & methods, https://www.fullstory.com/blog/what-is-data-processing/
What Is Data Processing: Cycle, Types, Methods, Steps and Examples, https://www.simplilearn.com/what-is-data-processing-article.
Downloads
Published
Issue
Section
License
Copyright (c) 2024 JURNAL ILMIAH EKONOMI DAN MANAJEMEN
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
