Impact of Artificial Intelligence on Decision-Making and Leadership Performance (Thesis Proposal Sample)
choose a topic from leadership and management and write a thesis proposal, with 4000 words limit
the topic is
Assessing the Impact of Artificial Intelligence on Decision-Making and Leadership Performance in the Uk's Manufacturing Sector
citation style: Harvard, new times roman, and spacing of 2
Assessing the Impact of Artificial Intelligence on Decision Making and Leadership Performance in the UK's Manufacturing Sector
Table of Contents TOC \o "1-3" \h \z \u Research Rationale PAGEREF _Toc123870418 \h 3Research Aim and Objectives PAGEREF _Toc123870419 \h 4Aim PAGEREF _Toc123870420 \h 4Objectives PAGEREF _Toc123870421 \h 4Research Questions PAGEREF _Toc123870422 \h 4Literature Review PAGEREF _Toc123870423 \h 4Chapter Overview PAGEREF _Toc123870424 \h 4Theoretical Underpinning PAGEREF _Toc123870425 \h 4Artificial Intelligence in Organizations PAGEREF _Toc123870426 \h 5How Artificial Intelligence Enhances Leadership Decision Making PAGEREF _Toc123870427 \h 7Chapter 3 PAGEREF _Toc123870428 \h 8Chapter Overview PAGEREF _Toc123870429 \h 8Research Philosophy PAGEREF _Toc123870430 \h 8Research Approach PAGEREF _Toc123870431 \h 9Research Strategy PAGEREF _Toc123870432 \h 10Research Choice PAGEREF _Toc123870433 \h 10Time Horizon PAGEREF _Toc123870434 \h 11Techniques and Procedures PAGEREF _Toc123870435 \h 11Data Collection Methods PAGEREF _Toc123870436 \h 11Sampling PAGEREF _Toc123870437 \h 11Ethical Considerations PAGEREF _Toc123870438 \h 12Research Gantt Chart PAGEREF _Toc123870439 \h 13Chapter 4 PAGEREF _Toc123870440 \h 13Data Analysis Methods PAGEREF _Toc123870441 \h 13References PAGEREF _Toc123870442 \h 14
Artificial intelligence brings out the notion of making computers act like human beings by performing tasks performed by humans, which has become common in most sectors (Shneiderman, 2020; Wamba-Taguimdje et al., 2020). Human and artificial intelligence interaction needs to help managers and leaders make the right decisions and lead to the realization of a culture of the effective and standard management of organizations from its capacity to support solving of complicated decisions (Huang et al., 2021). AI is currently highly utilized in business and management fields, as varied organizations continue to be keen on employing AI as a result of its potential to change and enhance the way of living, learning, communicating, discovering and working (Alasmri & Basahel, 2022). Decision-making processes remain crucial to productivity and organizational performance, which has been demonstrated by various studies that have sought different approaches to enhance leadership performance and decision-making quality.
The actualization of artificial intelligence continues to be a global key trend in different sectors (Duan et al., 2019). There has been a wide range of success stories in the implementation of artificial intelligence, which has led to AI applications expansion (Madhav et al., 2022). Some highly recognized firms that have applied deep learning, a significant aspect of AI, include Facebook, Amazon, Microsoft, IBM, and Apple (Liang & Al-Walai, 2021). According to Elsafty and Elzeftawy (2021), artificial intelligence applications have been tailored to address different functions like finance, corporate programs management, human resource, finance, marketing, supply chain, sales, operations, manufacturing, and risk assessment, among other factors. Numerous studies have focused on these functions, where functions like marketing, research and development and operations (Verma et al., 2021; Vlačić et al., 2021; Lee et al., 2019), leaving a gap in the evaluation of the influence of artificial intelligence on leadership performance and decision making processes. This study, therefore, addresses this literature gap where the findings of this study will be beneficial to managers wishing to enhance individual and organizational leadership performance and decision-making capabilities. The research will also form a basis for future related studies.
Research Aim and Objectives
The research aims to assess artificial intelligence's impact on decision-making and leadership performance. For the researcher to effectively explore the research topic, the key objectives and questions given below will form the basis for this research.
* To examine how artificial intelligence contributes to decision-making and leadership.
* To assess the factors influencing leadership performance and the role played by technology in the manufacturing sector in the UK.
* To examine the role of artificial intelligence in improving leadership performance and decision-making at both personal and organizational levels in the UK's manufacturing sector.
* How does artificial intelligence contribute to decision-making and leadership?
* What factors influence leadership performance and technology's role in the UK's manufacturing sector?
* What is the role of artificial intelligence
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