Instructions

Consider your research topic along with the topics / subject matter we are studying in this module. Find four research sources, with 1 or 2 from peer-reviewed journals and 1 or 2 from trade journals. You may include one popular source if it is relevant to your exploration of the topic and appropriately current and from a good quality source. Note that your sources should be current (within past 5 years). If possible, try to findsomearticles that connect your research topic with any ofthe module topics.Writee an annotated bibliography entry for each of thefour sources, and compile them into a document to submit.

Eachannotated bibliography entryshould have the following organization:

• Formal citation (use MLA, APA, or another recognized format)
• Annotation:
  • Summary of source ? a few sentences providing an overview of the source, focusing on the main idea or argument.
  • Evaluation of source ? a sentence or two discussing the goal of the source and how effectively it achieves that goal.
  • Usefulness of the source for your purposes ? a couple of sentences discussing how the source is useful in your work on your research topic.

References:

Laudon, Kenneth, C. and Jane P. Laudon. Management Information Systems. Available from: MBS Direct, (16th Edition). Pearson Education (US), 2019.

Please see the attached picture for refrences.Also, I have included the list of Journals and references.

Initial List of Journals:

2. Journal of Management Information Systems

Type: Scholarly

Citation: Zhang, Y., & Zhang, H. (2021). The impact of artificial intelligence on managerial decision-making processes. Journal of Management Information Systems, 38(3), 758-788. doi:10.1080/07421222.2021.1926795

2. MIS Quarterly

Type: Scholarly

Citation: Chen, L., & Liu, S. (2022). Machine learning and decision-making in management information systems: A systematic review. MIS Quarterly, 46(2), 535-558. doi:10.25300/MISQ/2022/04602

3. Information Systems Research

Type: Scholarly

Citation: Kumar, V., & Gupta, A. (2023). AI-driven analytics and decision support in management information systems. Information Systems Research, 34(4), 1079-1097. doi:10.1287/isre.2023.1118

4. Journal of Strategic Information Systems

Type: Scholarly

Citation: Singh, R., & Sharma, N. (2022). The role of artificial intelligence in transforming decision-making in information systems. Journal of Strategic Information Systems, 31(1), 45-62. doi:10.1016/j.jsis.2021.101637

Reference:

Zhang, Y., & Zhang, H. (2021). The impact of artificial intelligence on managerial decision-making processes. Journal of Management Information Systems, 38(3), 758-788. doi:10.1080/07421222.2021.1926795

Chen, L., & Liu, S. (2022). Machine learning and decision-making in management information systems: A systematic review. MIS Quarterly, 46(2), 535-558. doi:10.25300/MISQ/2022/04602

Kumar, V., & Gupta, A. (2023). AI-driven analytics and decision support in management information systems. Information Systems Research, 34(4), 1079-1097. doi:10.1287/isre.2023.1118

Research Topic: The Impact of Artificial Intelligence on Decision-Making Processes in Management Information Systems. Topic Statement and Question: The integration of Artificial Intelligence (AI) into Management Information Systems (MIS) represents a huge shift in how corporations approach preference-making. The valuable research query 1s: How does the mixing of Al enhance choice-making approaches within Management Information Systems? This query aims to explore the methods wherein Al technologies, which includes system gaining knowledge of, natural language processing, and predictive analytics, affect the performance, accuracy, and overall effectiveness of decision-making in MIS. This research will explore how course of action that arises from Artificial Intelligence technology and other technologies including machine learning, natural language processing and predictive analytics in Management Information Systems. It will examine how decision methodology can be improved by Al, how selection processes can be done more rapidly by Al, and the things which cannot be accomplished earlier by MIS. The studies will also address capacity demanding situations, consisting of records' privateness issues and the need for human supervision, and will use case research from distinct industries to note the functional applications and consequences of Al on MIS. Initial List of Journals: 1. Journal of Management Information Systems Type: Scholarly Citation: Zhang, Y., & Zhang, H. (2021). The impact of artificial intelligence on managerial decision-making processes. Journal of Management Information Systems, 38(3), 758-788. doi:10.1080/07421222.2021.1926795 2. MIS Quarterly Type: Scholarly Citation: Chen, L., & Liu, S. (2022). Machine learning and decision-making in management information systems: A systematic review. MIS Quarterly, 46(2), 535-558. doi:10.25300/MISQ/2022/04602 3. Information Systems Research Type: Scholarly Citation: Kumar, V., & Gupta, A. (2023). AI-driven analytics and decision support in management information systems. Information Systems Research, 34(4), 1079-1097. doi:10.1287/isre.2023.1118 4. Journal of Strategic Information Systems Type: Scholarly Citation: Singh, R., & Sharma, N. (2022). The role of artificial intelligence in transforming decision-making in information systems. Journal of Strategic Information Systems, 31(1), 45-62. doi:10.1016/j.jsis.2021.101637Reference: Zhang, Y., & Zhang, H. (2021). The impact of artificial intelligence on managerial decision- making processes. Journal of Management Information Systems, 38(3), 758-788. doi:10.1080/07421222.2021.1926795 Chen, L., & Liu, S. (2022). Machine learning and decision-making in management information systems: A systematic review. MIS Quarterly, 46(2), 535-558. doi:10.25300/MISQ/2022/04602 Kumar, V., & Gupta, A. (2023). AI-driven analytics and decision support in management information systems. Information Systems Research, 34(4), 1079-1097. doi:10.1287/isre.2023.1118