نوع مقاله : مقاله علمی-پژوهشی
موضوعات
عنوان مقاله English
نویسندگان English
Artificial Intelligence (AI) plays a crucial role in business analytics; however, a lack of transparency in its application can lead to negative consequences. This study examines these consequences and identifies three key factors contributing to the lack of transparency in AI-based analytics (AI-BA): governance deficiencies, poor data quality, and inadequate employee training. Governance deficiencies refer to the absence of clear legal and managerial frameworks for AI utilization, which can result in ineffective data management and suboptimal decision-making. Poor data quality directly impacts analytical outcomes, as incomplete or inaccurate data can lead to erroneous decisions and reduced organizational efficiency. Additionally, insufficient employee training hinders the proper use of AI technologies, reducing both productivity and motivation. Furthermore, a lack of transparency in AI-BA increases security and technological risks. The conceptual model presented in this study demonstrates that improper adoption of AI-BA solutions can lead to operational inefficiencies and a decline in an organization’s competitive advantage. The model encompasses three main factors: flawed technology strategy, risks associated with improper AI implementation, and poor corporate performance. The findings indicate that these factors contribute to market share reduction and employee dissatisfaction. This research is applied in terms of its objective and descriptive in terms of its methodology. Data were collected through both library and field studies, with the statistical population comprising technology-driven and knowledge-based companies located in science and technology parks. The data were analyzed using SPSS and LISREL software. Ultimately, this study highlights the necessity of strengthening governance, improving data quality, and providing effective training programs to enhance transparency and optimize organizational performance.
کلیدواژهها English
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