The Role of Business Intelligence Tools in the Decision Making Process and Performance

Maaitah, Tamara

doi:10.37380/jisib.v13i1.990

Cited by 8 publications

(4 citation statements)

References 18 publications

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“…The initial hypothesis suggested the positive impact of business intelligence tools on strategic decision-making accuracy, which is evidenced by different research publications. For example, Maaitah (2023) showed how business intelligence application tools not only improve the quality of decisions but also increase organizational performance. Similarly, Katebi et al (2022) focused on business intelligence as a defining factor in fulfilling strategic decisions, which has illustrated its ability to provide businesses with commercial advantage.…”

Section: Discussionmentioning

confidence: 99%

Enhancing strategic decision-making: The role of business intelligence tools and organizational ambidexterity

Khaddam

2024

Problems and Perspectives in Management

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The study aims to investigate the influence of business intelligence on decision-making quality, considering organizational ambidexterity as a moderating factor. The sample included a broad group of professionals from the high-technology segment, surveying 450 respondents; 254 valid responses were obtained from senior executives, supervisors, and analysts. These respondents were selected as they had a clear ability for a deeper dive into strategic goals and international expansion strategies, effectiveness in capacities, and daily financial management improvement. The results showed that with the use of business intelligence tools, organizations were in a better position to provide a higher quality of strategic decision-making (p &lt; 0.01) as it helped in the functioning of new opportunities to identify and capitalize, while keeping an eye on the current capabilities. The study underscores that organizational ambidexterity is one of the most dominant causes (p &lt; 0.01) for the effective realization of the benefits of business intelligence. Thus, for effective decision-making, it is crucial for organizations to synergize business intelligence tools with their ambidextrous capabilities. This underscores the significant role of organizational ambidexterity as a moderator and further demonstrates its importance in optimizing the use of business intelligence to improve strategic decision-making processes.

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Section: Discussionmentioning

confidence: 99%

Enhancing strategic decision-making: The role of business intelligence tools and organizational ambidexterity

Khaddam

2024

Problems and Perspectives in Management

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“…For instance, studies by Ahmad et al (2024) and Whig et al (2024) support the positive impact of perceived usefulness on both client satisfaction and broader organizational effectiveness. However, Maaitah (2023a) found that the influence of perceived usefulness on personal satisfaction is minimal, suggesting variability in its effects across different contexts. This discrepancy indicates the need for further investigation into how perceived usefulness translates into actual benefits in various organizational settings.…”

Section: Cooperationmentioning

confidence: 97%

“…Additionally, to better suit the specific needs of BIS within organizational contexts, further expansions of the model are suggested. These expansions include additional success criteria specific to the BIS domain (Maaitah, 2023a).…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Strategies for success: A theoretical model for implementing business intelligence systems to enhance organizational performance

Al-Maaitah,

Khalid,

Al-Junaidi

et al. 2024

Int. j. adv. appl. sci.

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The use of Business Intelligence Systems (BIS) has seen a significant rise worldwide in recent years, aiming to support organizations in navigating the competitive business environment. Despite this, many organizations struggle to fully benefit from BIS due to challenges in its implementation. A key reason identified for these challenges is the lack of effective measurement strategies. This paper seeks to provide a clear overview of business intelligence and the key factors that influence its successful implementation in organizations. Through a review of existing literature, the study identifies the most critical components necessary for the effective use of a business intelligence system. It proposes a theoretical model for evaluating BIS performance at the organizational level inspired by the Information System Performance Model. This model suggests that system quality, information quality, service quality, relationship quality, and process quality all play a vital role in enhancing perceived usefulness and user satisfaction, thereby leading to organizational benefits. By integrating insights from relevant literature, this paper offers a detailed understanding of how to assess the success of BIS within an organization. The findings highlight the positive impact of business intelligence systems on organizational performance and decision-making processes, aiding organizations in making informed decisions. This research is unique in that it presents a theoretical model for evaluating the success of BIS in organizations based on an extensive review of the literature. Additionally, it extends the application of the Information System Success Model to the domain of BIS for analyzing performance at the management level.

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“…The second layer of BI involves analytical processing. With selected and structured data, the next stage is analysis-a process that transforms data into meaningful information, providing a comprehensive view of the organization's historical, current, and future (predictive) business condition (Djerdjouri, 2020;Maaitah, 2023).…”

Section: Business Intelligence Contest and Implementation Phasesmentioning

confidence: 99%

Strategic Insights: Navigating Business Intelligence Implementation - Phases, Tasks, and Risks: A Case Study on an International Manufacturing Company

Hillebrandt-Szymanska,

Piotrowska,

Blaszczyk

et al. 2023

ERSJ

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Purpose: This article aims to present a comprehensive case study of implementing a business intelligence system in the manufacturing company. Therefore, a comprehensive understanding of key implementation aspects and associated risks is vital for meticulous planning before investing in information systems. Design/Methodology/Approach: Through qualitative research, the study will identify the main implementation phases, assign key tasks, and highlight the potential risks encountered during the process. By examining the case study, readers can gain insights into the effective implementation of a business intelligence system in manufacturing company, enabling them to better navigate similar ventures a significant input for researchers to create an implementation model. Findings: Having accurate and timely information is a crucial asset for businesses, influencing their competitive advantage. Information is essential for decision-making, enabling organizations to identify opportunities, threats, strengths, weaknesses, and changes. Business Intelligence (BI) solutions cater to these needs by automatically transforming data into actionable information. However, due to the wide array of tools available in the market, the implementation process of BI can be complex. Practical Implications: The findings from this article's case study can serve as a foundation for proposing an implementation model for business intelligence systems. Originality/Value: By analyzing the challenges, key phases, and risks identified in the case study, future research can develop a structured framework or model that outlines the necessary steps, considerations, and best practices for implementing BI systems specifically tailored to manufacturing industries.

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The Role of Business Intelligence Tools in the Decision Making Process and Performance

Cited by 8 publications

References 18 publications

Enhancing strategic decision-making: The role of business intelligence tools and organizational ambidexterity

Enhancing strategic decision-making: The role of business intelligence tools and organizational ambidexterity

Strategies for success: A theoretical model for implementing business intelligence systems to enhance organizational performance

Strategic Insights: Navigating Business Intelligence Implementation - Phases, Tasks, and Risks: A Case Study on an International Manufacturing Company

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