Exploring the Impact of Artificial Intelligence on Business Decision-Making Processes

Beth F.

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Exploring the Impact of Artificial Intelligence on Business Decision-Making Processes

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Themes

Artificial intelligence, business, new technologies, ethics, data analysis, research, objectives, process

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Abstract

The role of artificial intelligence (AI) keeps advancing across a wide spectrum of activities. AI is steadily elevating the ways organizations function and make decisions. In the business world, AI technologies have become a part of it, as they ensure the automation of operations, data analysis, and more competent decision-making (Agrawal, Gans, and Goldfarb, 2019). Indeed, although the AI-driven automation of business operations may have numerous advantages, it also crowds the already existing challenges and implications of the issue and thus should be considered more thoroughly.

Introduction to a Researchable Topic Area
1. Background of Study
2. Rationale and Significance of the Study
3. Research Aims and Objectives
4. Research Questions
Literature Review
1. Integration of AI in Business Decision-Making
2. Impact on Decision Quality and Accuracy
3. Ethical and Societal Implications
Details of your research
1. Research Philosophy
2. Ontology and Epistemology
3. Approach, Methods, and Strategies
4. Selection and Justification of Research Methodology
5. Data Collection
6. Data Analysis
7. Research Ethics
Conclusions
Timetable for you research

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[...] To identify the key challenges and ethical considerations associated with the use of AI in business decision-making. 4. To provide recommendations for enhancing the strategic implementation and utilization of AI technologies in decision-making contexts. 1.4 Research Questions 1. How extensively are AI technologies integrated into business decision-making processes across different industries? 2. What are the perceived benefits and limitations of AI algorithms in enhancing decision quality, efficiency, and accuracy within organizations? 3. What are the primary challenges and ethical considerations associated with the use of AI in business decision-making? [...]

[...] Section Timetable for your research Week Activity Duration 1 Literature Review 5 days 2 Literature Review 5 days 3 Research Proposal Preparation 5 days 4 Research Proposal Submission 1 day 5 Data Collection Preparation 5 days 6 Data Collection 10 days 7 Data Collection 10 days 8 Data Analysis Preparation 5 days 9 Data Analysis 10 days 10 Data Analysis 10 days 11 Writing Dissertation 10 days 12 Writing Dissertation 10 days 13 Writing Dissertation 10 days 14 Proofreading and Revision 10 days 15 Final Submission Preparation 5 days 16 Final Submission 1 day References Agrawal, A., Gans, J.S. and Goldfarb, A. (2019). Exploring the impact of artificial Intelligence: Prediction versus judgment. [...]

[...] Section Literature Review 2.1 Integration of AI in Business Decision-Making The employment of artificial intelligence technologies in business decision-making processes has been a central topic of debate in business circles. Academic journals demonstrate the growing implementation of AI, where organizations replace routine tasks with automatic processing of Big Data and intelligent decision aid (Perifanis and Kitsios, 2023). Research published by Elahi et al. (2023) embodies the fact that AI improves decision-making processes in a timely manner through processing and forecasts. Meanwhile, the AI study by Al-Surmi, Bashiri, and Koliousis (2021) also supports the fact that AI has a positive impact on strategic decision-making, as it helps managers to come up with better logical and rational decision-making skills. [...]

[...] 3.5 Data Collection Participants should also be chosen purposefully in the context of those who are experts or are detached from the business decision-making activities in organizations. Participants will be reached through our professional networks, industry associations as well as organizations' communities (Islam and Aldaihani, 2021). Through proof of consent, all participants will be informed of the issues of true consent and confidentiality of responses to questions. Interviewing will be face-to-face, preferably, or virtual to suit participants' choices and logistical demands. [...]

[...] Justification for Adopting Qualitative Research Method, Research Approaches, Sampling Strategy, Sample Size, Interview Method, Saturation, and Data Analysis. Journal of International Business and Management, 5(1). Perifanis, N.-A. and Kitsios, F. (2023). Investigating the influence of artificial intelligence on business value in the digital era of strategy: A literature review. Information, [online] 14(2). Available at: https://www.mdpi.com/2078-2489/14/2/85. QIAN, Y., SIAU, K.L. and NAH, F.F. (2024). [...]

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