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Exploring the Impact of Data Quality on Decision-Making Processes in Information Intensive Organizations Khong, Isaac; Aprila Yusuf, Natasya; Nuriman, Arbi; Bayu Yadila, Ahmad
APTISI Transactions on Management (ATM) Vol 7 No 3 (2023): ATM (APTISI Transactions on Management: September)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/atm.v7i3.2138

Abstract

This study investigates the influence of data quality on decision-making processes within organizations that heavily rely on information for their operations. With the increasing digitalization and proliferation of data in today's business landscape, the quality of data has emerged as a critical factor in ensuring accurate and effective decision-making. Through a comprehensive review of existing literature and an empirical analysis, this research aims to shed light on the relationship between data quality and decision-making outcomes. The study employs a mixed-methods approach, utilizing both qualitative interviews and quantitative surveys to gather insights from professionals across various information-intensive sectors. The findings reveal that data quality significantly impacts the accuracy, reliability, and timeliness of decisions made within these organizations. Moreover, the study identifies key challenges that organizations face in maintaining data quality and suggests potential strategies to enhance decision-making processes. The results of this research contribute to a deeper understanding of the pivotal role data quality plays in the success of information-intensive organizations and provide practical implications for managers and decision-makers.
Application of SmartPLS in Analyzing Critical Success Factors for Implementing Knowledge Management in the Education Sector Jacqueline, Greisy; Putri Ayu Senjaya, Yulia; Firli, M.Zaki; Bayu Yadila, Ahmad
APTISI Transactions on Management (ATM) Vol 8 No 1 (2024): ATM (APTISI Transactions on Management: January)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/atm.v8i1.2201

Abstract

This research explores the critical success factors influencing the implementation of knowledge management in the education sector, employing Structural Equation Modeling (SEM) with SmartPLS as the analytical tool. The study addresses the intricate challenges inherent in knowledge management within educational environments, aiming to provide a nuanced understanding of the factors contributing to successful implementation The conceptual framework identifies key factors, including HRM-Driven Knowledge Sharing, IT Integration in Teaching Practices, Organizational Culture Alignment, Perceived Effectiveness of Teacher Training, and Perceived Top Management Support. The chosen methodology, utilizing SmartPLS, is justified for its suitability in handling challenges associated with small sample sizes and non-normal data distributions. The data analysis reveals the generally robust reliability of constructs but also underscores potential concerns related to discriminant validity among certain variables. The research contributes significantly to the understanding of critical success factors for knowledge management in education. However, the conclusion suggests the need for refinement in the conceptual model to enhance the validity and applicability of the findings. In conclusion, this research offers a comprehensive perspective on the complexities of implementing knowledge management in the education sector. The findings pave the way for potential enhancements to the conceptual model, aiming to elevate the effectiveness of knowledge management practices within educational contexts.