Integrating Big Data Analytics With the Balanced Scorecard to Enhance Enterprise Performance

Yanbing Liang and Jianguo Zhang
Additional contact information
Yanbing Liang: Guangzhou Institute of Technology, China
Jianguo Zhang: Xi'an Thermal Power Research Institute Co., Ltd., China

International Journal of Information Systems and Supply Chain Management (IJISSCM), 2025, vol. 18, issue 1, 1-14

Abstract: This study explores the strategic integration of big data analytics and the Balanced Scorecard (BSC) framework to optimize enterprise performance across financial and non-financial dimensions. By combining the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method and the Analytic Network Process (ANP), the research identifies causal relationships among key big data initiatives and prioritizes their impact on organizational performance. Empirical analysis, based on expert judgments from nine valid questionnaires collected in Guangdong, China, reveals that non-financial dimensions (learning and growth, internal processes) act as causal drivers for financial outcomes. Among the nine evaluated big data strategies, appointing data-savvy leaders and implementing customer-centric analytics (e.g., personalized recommendations, customer behavior insights) are identified as the most critical enablers of performance improvement.

Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://services.igi-global.com/resolvedoi/resolve ... .4018/IJISSCM.389981 (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:igg:jisscm:v:18:y:2025:i:1:p:1-14

Access Statistics for this article

International Journal of Information Systems and Supply Chain Management (IJISSCM) is currently edited by John Wang

More articles in International Journal of Information Systems and Supply Chain Management (IJISSCM) from IGI Global Scientific Publishing
Bibliographic data for series maintained by Journal Editor ().