Location
Online
Event Website
https://hicss.hawaii.edu/
Start Date
3-1-2023 12:00 AM
End Date
7-1-2023 12:00 AM
Description
Developing an effective business analytics function within a company has become a crucial component to an organization’s competitive advantage today. Predictive analytics enables an organization to make proactive, knowledge-driven decisions. While companies are increasing their investments in data and analytics technologies, little research effort has been devoted to understanding how to best convert analytics assets into positive business performance. This issue can be best studied from the socio-technical perspective in order to gain a holistic understanding of the key factors relevant to implementing predictive analytics. Based upon information from structured interviews with information technology and analytics executives of 11 organizations, this study identifies the socio-technical components that are key to organizations’ implementation of predictive analytics.
Recommended Citation
Chen, Leida; Nath, Ravi; Rocco, Nevina; and Lidster, Carolyn, "A Sociotechnical Perspective on Predictive Analytics Implementation" (2023). Hawaii International Conference on System Sciences 2023 (HICSS-56). 2.
https://aisel.aisnet.org/hicss-56/os/data_analytics/2
A Sociotechnical Perspective on Predictive Analytics Implementation
Online
Developing an effective business analytics function within a company has become a crucial component to an organization’s competitive advantage today. Predictive analytics enables an organization to make proactive, knowledge-driven decisions. While companies are increasing their investments in data and analytics technologies, little research effort has been devoted to understanding how to best convert analytics assets into positive business performance. This issue can be best studied from the socio-technical perspective in order to gain a holistic understanding of the key factors relevant to implementing predictive analytics. Based upon information from structured interviews with information technology and analytics executives of 11 organizations, this study identifies the socio-technical components that are key to organizations’ implementation of predictive analytics.
https://aisel.aisnet.org/hicss-56/os/data_analytics/2