An integrated big data analytics-enabled transformation model: Application to health care
| Autor: | LeeAnn Kung, William Yu Chung Wang, Casey G. Cegielski, Yichuan Wang |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Engineering
Information Systems and Management Knowledge management business.industry 05 social sciences Big data Business value Data science Management Information Systems Business analytics Content analysis Analytics 0502 economics and business Business intelligence Health care 050211 marketing business Cultural analytics 050203 business & management Information Systems |
| Zdroj: | Information & Management. 55:64-79 |
| ISSN: | 0378-7206 |
| DOI: | 10.1016/j.im.2017.04.001 |
| Popis: | A big data analytics-enabled transformation model based on practice-based view is developed, which reveals the causal relationships among big data analytics capabilities, IT-enabled transformation practices, benefit dimensions, and business values. This model was then tested in healthcare setting. By analyzing big data implementation cases, we sought to understand how big data analytics capabilities transform organizational practices, thereby generating potential benefits. In addition to conceptually defining four big data analytics capabilities, the model offers a strategic view of big data analytics. Three significant path-to-value chains were identified for healthcare organizations by applying the model, which provides practical insights for managers. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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