The Effect of Big Data Analysis Capabilities on Organizational Energy: An Empirical Study in the Directorate of Civil Affairs, Residence, and Passports in Nineveh Governorate – IRAQ
The Effect of Big Data Analysis Capabilities on Organizational Energy: An Empirical Study in the Directorate of Civil Affairs, Residence, and Passports in Nineveh Governorate – IRAQ

Summary/Abstract: Purpose: The purpose of this study is to investigate the impact of Big Data Analysis Capabilities (BDAC) on Organizational Energy (OE) within public service organizations, using the Directorate of Civil Affairs, Residence, and Passports in Nineveh Governorate, Iraq, as a case study. In an increasingly complex and data-driven environment, the ability to process, analyze, and utilize large datasets is becoming a critical factor in enhancing organizational effectiveness, efficiency, and adaptability. Design/Method/Approach: The research employs a descriptive-analytical methodology, combining theoretical examination with empirical analysis. A structured questionnaire was used as the primary data collection tool, targeting employees at different organizational levels. Field data were processed and analyzed using AMOS V25 for structural equation modeling and SPSS V25 for statistical testing, enabling both confirmatory factor analysis and hypothesis testing. Findings: The empirical findings reveal that BDAC, across its three dimensions – technical, human, and organizational capabilities – has a statistically significant and positive impact on all dimensions of organizational energy (cognitive, emotional, and behavioral). Among these, human capabilities demonstrated the strongest influence, underscoring the central role of employee skills, knowledge, and motivation in leveraging big data for improved organizational performance. Theoretical Implications: The study advances the theoretical understanding of the BDAC–OE relationship by introducing a conceptual model that integrates big data capabilities into the organizational energy framework. This contributes to bridging the gap between information technology capabilities and organizational behavior literature. Practical Implications: The results highlight the need for public sector organizations to invest in modern technological infrastructure, employee training, and organizational structures that support data-driven decision-making. Implementing such measures can enhance efficiency, innovation, and service delivery, ultimately strengthening the organization’s competitive advantage and long-term sustainability. Originality/Value: This research offers a novel contextual perspective by examining BDAC–OE integration in a governmental service organization in Iraq, a setting that has received limited scholarly attention. It provides a replicable framework for similar institutions in developing countries. Research Limitations/Future Research: Further studies are encouraged to validate the proposed model across various sectors and geographic contexts, with a focus on longitudinal designs to capture the evolving nature of big data technologies and organizational energy. Paper Type: Empirical

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