A QUALITATIVE ANALYSIS OF THE INFLUENCE OF MANAGEMENT INFORMATION SYSTEMS ON ORGANIZATIONAL DECISION-MAKING PROCESSES

Mubashshir Bin Mahbub () and Taskin Ahmed Mushfiq Nabil
Additional contact information
Mubashshir Bin Mahbub: American International University-Bangladesh
Taskin Ahmed Mushfiq Nabil: American International University-Bangladesh

Acta Informatica Malaysia (AIM), 2024, vol. 8, issue 2, 87-93

Abstract: This qualitative research examines the profound influence of Management Information Systems (MIS) on organizational decision-making processes, focusing on how these systems serve as critical tools for enhancing strategic choices in a rapidly evolving business landscape. Through a series of in-depth semi-structured interviews with key decision-makers across diverse sectors—such as technology, healthcare, retail, construction, and consulting—this study captures the nuanced perceptions and experiences of professionals who rely on MIS to navigate complex decision-making environments. The investigation reveals six central themes that illustrate the multifaceted role of MIS: enhancing decision quality, accelerating decision-making processes, improving collaboration and communication, challenges in MIS implementation, the influence of organizational culture, and future perspectives on MIS. The analysis indicates that MIS significantly elevates decision quality by delivering real-time, accurate data and advanced analytical tools, which empower decision-makers to make informed and strategic choices. Participants articulated how access to relevant and timely information has enhanced their forecasting accuracy and overall strategic agility, enabling organizations to swiftly adapt to changing market conditions and capitalize on emerging opportunities. Moreover, the study highlights how the automation of routine data aggregation and reporting tasks facilitated by MIS contributes to the acceleration of decision-making processes. Participants emphasized that the ability to generate comprehensive reports in a fraction of the time previously required has enabled their organizations to respond more effectively to business challenges and seize competitive advantages. Despite these benefits, the research also uncovers several challenges organizations encounter in implementing and utilizing MIS effectively. A common concern expressed by participants relates to the complexity of MIS platforms and the associated learning curve that can impede initial adoption and integration. Additionally, the integrity and reliability of data generated by these systems emerged as significant challenges, with participants stressing that inaccurate or incomplete data can lead to flawed decision-making. These findings underscore the necessity for robust data governance and management practices within organizations to mitigate these risks. The analysis further underscores the critical influence of organizational culture on the success of MIS adoption. Organizations that actively promote a culture of data-driven decision-making tend to derive greater value from their MIS investments. In contrast, organizations with more traditional decision- making approaches often face resistance to embracing data analytics and may struggle to fully integrate MIS into their decision-making processes. This cultural alignment is essential for maximizing the benefits of MIS and fostering an environment conducive to innovative decision-making. Looking toward the future, participants expressed optimism about the potential of advanced technologies, such as artificial intelligence and machine learning, to enhance the capabilities of MIS and further refine decision-making processes. This forward-looking perspective highlights the growing awareness of the importance of continuous innovation and investment in technology to maintain a competitive edge in an increasingly data-driven marketplace.

Keywords: Management Information Systems; Decision-Making Processes; Organizational Culture; Data-Driven DecisionMaking; Technology Adoption. (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
https://actainformaticamalaysia.com/archives/AIM/2aim2024/2aim2024-87-93.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:zib:zbnaim:v:8:y:2024:i:2:p:87-93

DOI: 10.26480/aim.02.2024.87.93

Access Statistics for this article

Acta Informatica Malaysia (AIM) is currently edited by Associate Professor Dr. Shahreen Kasim

More articles in Acta Informatica Malaysia (AIM) from Zibeline International Publishing
Bibliographic data for series maintained by Zibeline International Publishing ( this e-mail address is bad, please contact ).