Annotated Bibliography
2
Côrte-Real, N., Oliveira, T., & Ruivo, P. 2017. “Assessing business value of Big Data Analytics in European firms.” Journal of Business Research, 70, 379–390. Retrieved from https://doi.org/10.1016/j.jbusres.2016.08.011
In this study, researchers argue that research into IT business value now requires a more dynamic or complex perspective, specifically the Big Data Analytics (BDA) value chain. The researchers proposed a conceptual model, based on knowledge-based views and DC theories, based on European firms and their respective IT/business executives. In their study, the researchers found that “BDA can provide business value to several stages of the value chain. BDA can create organizational agility through knowledge management and its impact on the process and competitive advantage” (Côrte-Real et al., 2017). They also found that agility within an organization can mediate the effect between knowledge assets and performance to a certain degree, showing an approximate 78% variation in competitive advantage.
Dubey, R., Luo, Z., Gunasekaran, A., Akter, S., Hazen, B. T., & Douglas, M. A. 2018. “Big data and predictive analytics in humanitarian supply chains.” The International Journal of Logistics Management, 29(2), 485–512. Retrieved from https://doi.org/10.1108/ijlm-02-
2017-0039
In this study, researchers sought to understand the relationship between big data and predictive analytics (BDPA), in terms of organizational capability, and how it can improve both visibility and coordination within humanitarian supply chains. They found that BDPA had a significant influence on both visibility and coordination, while a swift trust does not amplify the effects on these relationships. The researchers proposed that managers could use such a framework to better understand how organization resources
