Start Date

26-8-2021 12:00 AM

End Date

27-8-2021 12:00 AM

Description

Enterprise Resource Planning (ERP) implementation continues to hold attraction from information systems enthusiasts. Perhaps due to the rising budget dedicated to the implementation in many an organization in recent times. However, understanding the critical role that ERP implementation plays in Big Data Analytics Capabilities and firm performance is lacking sufficient treatment in the literature. By applying quantitative research techniques in a case study research orientation through the use of resource-based view theoretical insights, the study takes on three key hypotheses: That ERP implementation has a positive relationship with organizational big data analytics capabilities; Big data analytics capability has a positive effect on firm performance and ERP implementation is positively related to organizational performance. Using Partial Least Squared Structural Equation Model (PLS-SEM)data analysis techniques the study established a direct link between big data analytics capabilities and firm performance, and that ERP has a direct positive and significant effect on big data analytics capabilities. Lastly, it is the claim of this study that big data analytics capabilities have a direct positive and significant effect on firm performance. Part of the implications of the study highlights the need for a qualitative or even mixed method research undertakings to broaden the frontiers of our understanding in terms of ERP implementation and big data analytics capabilities in similar organizational contexts.

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Aug 26th, 12:00 AM Aug 27th, 12:00 AM

Examining the Relationship Between Enterprise Resource Planning (ERP) Implementation: The Role ofBig Data Analytics Capabilities and Firm Performance

Enterprise Resource Planning (ERP) implementation continues to hold attraction from information systems enthusiasts. Perhaps due to the rising budget dedicated to the implementation in many an organization in recent times. However, understanding the critical role that ERP implementation plays in Big Data Analytics Capabilities and firm performance is lacking sufficient treatment in the literature. By applying quantitative research techniques in a case study research orientation through the use of resource-based view theoretical insights, the study takes on three key hypotheses: That ERP implementation has a positive relationship with organizational big data analytics capabilities; Big data analytics capability has a positive effect on firm performance and ERP implementation is positively related to organizational performance. Using Partial Least Squared Structural Equation Model (PLS-SEM)data analysis techniques the study established a direct link between big data analytics capabilities and firm performance, and that ERP has a direct positive and significant effect on big data analytics capabilities. Lastly, it is the claim of this study that big data analytics capabilities have a direct positive and significant effect on firm performance. Part of the implications of the study highlights the need for a qualitative or even mixed method research undertakings to broaden the frontiers of our understanding in terms of ERP implementation and big data analytics capabilities in similar organizational contexts.