Enhancing ERP Responsiveness Through Big Data Technologies: An Empirical Investigation

Area of Science:

• Information Systems
• Data Science
• Business Management

Background:

• Organizations increasingly integrate big data technologies with Enterprise Resource Planning (ERP) systems to boost ERP responsiveness.
• Challenges exist in managing the integration, hindering the ability of ERP systems to effectively process large data volumes.

Purpose of the Study:

• To examine the factors influencing ERP responsiveness when integrating big data technologies.
• To provide a framework for understanding and improving the synergy between ERP and big data.

Main Methods:

• A systematic literature review was conducted to develop a conceptual model.
• Structural Equation Modeling (SEM) was used to test the model with survey data from 110 industry experts.

Main Results:

• Twelve significant factors impacting ERP responsiveness were identified.
• Key factors include big data management and data contextualization, highlighting their importance in the integration process.

Conclusions:

• The findings offer valuable insights into the critical factors for enhancing ERP responsiveness through big data integration.
• Practical implications are provided for organizations aiming to optimize their ERP and big data management practices.