The impact of technology, organization, environment towards organizational performance for big data adoption in Malaysia digital status companies

• Auteur principal: Nur Khairiah, Muhammad
• Format: Thèse
• Langue: anglais; anglais
• Publié: 2025
• Sujets: HD58.9 Organizational Effectiveness.; T Technology (General)
• Accès en ligne: https://etd.uum.edu.my/11675/1/permission%20to%20deposit-grant%20the%20permission-s901261.pdf; https://etd.uum.edu.my/11675/2/s901261_01.pdf; https://etd.uum.edu.my/11675/

The rapid advancement of technology, driven by digitalization and Industry 4.0, has significantly transformed the global business landscape. This transformation has created both opportunities and challenges in managing the exponential growth of data, often referred to as Big Data. Despite various initiatives launched since 2014, the adoption of Big Data technologies in Malaysia remains low, with a significant gap in data expertise. This study explores the moderating role of training in the relationship between data quality management, data security, ease of use, and top management support, particularly within Malaysia's Global Business Services (GBS) sector. Data were collected from companies with Malaysia Digital Status within the GBS cluster, utilizing the Technology-Organization-Environment (TOE) framework and the Resource-Based View (RBV) as the theoretical foundation. An online questionnaire distributed to companies in the GBS cluster resulted in 272 responses through simple random sampling. Due to a low response rate, convenience sampling was subsequently employed to ensure a sufficient sample size. Hypothesis testing was conducted using Smart PLS 4.1.0.0. The findings indicate that data quality management, ease of use, and top management support significantly influence organizational performance, while data security did not show a significant impact. Furthermore, training was found to significantly moderate the relationship between ease of use and organizational performance, although it did not significantly moderate the relationships between other variables and organizational performance. Failure to adopt Big Data can result in inaccurate decisions, reduced customer satisfaction, and the loss of competitive advantage. This study contributes to both theoretical and practical understanding by addressing a critical gap in Big Data adoption, emphasizing training as a key factor in improving ease of use and enhancing adoption outcomes, particularly in the Malaysian GBS sector. It also offers actionable insights for organizations aiming to leverage Big Data to enhance performance and competitiveness.