Investigating the Role of Accounting Information Systems in Improving Decision-Making | Blazingprojects Postgraduate Thesis
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Investigating the Role of Accounting Information Systems in Improving Decision-Making

 

Table Of Contents


  • 1.Introduction  
  • 1.1Background and Significance  
  • 1.2Research Objectives  
  • 1.3Research Questions  
  • 1.4Methodology Overview
  • 2.Literature Review  
  • 2.1Definition and Components of Accounting Information Systems  
  • 2.2Theoretical Framework: Linking AIS to Decision-Making Effectiveness  
  • 2.3Previous Studies on the Role of AIS in Decision-Making  
  • 2.4Key Factors Influencing the Impact of AIS on Decision-Making  
  • 2.5Gaps in the Existing Literature
  • 3.Research Methodology  
  • 3.1Research Design  
  • 3.2Data Collection Methods  
  • 3.3Sample Selection  
  • 3.4Quantitative Analysis: Examination of the Relationship between AIS Usage and Decision-Making Outcomes  
  • 3.5Qualitative Analysis: Interviews with Decision-Makers and AIS Professionals
  • 4.Findings and Analysis  
  • 4.1Quantitative Analysis Results: Impact of AIS Usage on Decision Quality, Timeliness, and Relevance  
  • 4.2Qualitative Analysis Findings: Perceptions and Experiences of Decision-Makers and AIS Professionals  
  • 4.3Integration of Quantitative and Qualitative Findings  
  • 4.4Discussion of Findings
  • 5.Implications and Recommendations  
  • 5.1Implications for Organizational Decision-Making Practices  
  • 5.2Recommendations for Optimizing AIS Usage in Decision-Making  
  • 5.3Addressing Challenges and Limitations  
  • 5.4Future Directions for Research

Thesis Abstract

Accounting information systems (AIS) play a crucial role in providing timely, accurate, and relevant financial information to support decision-making within organizations. This research aims to investigate the role of AIS in improving decision-making processes and outcomes. By examining the impact of AIS on decision quality, decision timeliness, and decision relevance, this study seeks to provide insights into how organizations can effectively leverage AIS to enhance decision-making effectiveness.
The research will employ a mixed-methods approach, combining quantitative analysis of financial data and decision-making outcomes with qualitative interviews of decision-makers and AIS professionals. The quantitative analysis will involve statistical techniques, such as regression analysis, to examine the relationship between AIS usage and decision-making outcomes. Additionally, the study will explore the perceptions and experiences of decision-makers and AIS professionals through the qualitative interviews to gain a deeper understanding of the mechanisms through which AIS influence decision-making.
The findings of this research will contribute to the existing literature on AIS and decision-making by providing empirical evidence on the role of AIS in improving decision quality, timeliness, and relevance. The results will assist organizations in understanding the importance of AIS in decision-making processes and guide them in optimizing the design, implementation, and usage of AIS to enhance decision-making effectiveness.

Thesis Overview

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