Assignment: Facilitating organizational Learning
• Building business flexibility for current and future changes
• IT cost reduction • Increased IT infrastructure capability
Operational benefits The benefits obtained from the improvement of operational activities • Cost reduction • Cycle time reduction • Productivity improvement • Quality improvement • Customer service improvement
Managerial benefits The benefits obtained from business management activities which involve allocation and control of the firms’ resources, monitoring of operations and supporting of business strategic decisions
• Better resource management • Improved decision making and planning • Performance improvement
Strategic benefits The benefits obtained from strategic activities which involve long-range planning regarding high-level decisions
• Support for business growth • Support for business alliance • Building for business innovations • Building cost leadership • Generating product differentiation • Building external linkages
Organizational benefits The benefits arise when the use of an enterprise system benefits an organization in terms of focus, cohesion, learning, and execution of its chosen strategies.
• Changing work patterns • Facilitating organizational learning • Empowerment • Building common vision
7Y. Wang et al. / Technological Forecasting & Social Change 126 (2018) 3–13
describes the software they introduce and benefits obtaining from the implementation. We excluded reports from one particular vendor due to their connection to one of our experts whowere invited for the eval- uation. We were able to collect 26 big data cases specifically related to the healthcare industries. Of these cases, 14 (53.8%) were collected from the materials released by vendors or companies, 2 cases (7.7%) from journal databases, and 10 cases (38.4%) fromprint publications, in- cluding healthcare institute reports and case collections. Categorizing by region, 17 cases were collected from Northern America, 7 cases from Europe, and others from Asia-Pacific region. The cases we used are listed in Appendix A.
In order to in- crease the interrater reliability, the second author went through the same process independently. The two coders agreed on 84% of the categorization. Most discrepancies occurred between the two coders are on the categories of analytical capability. Disagreements were re- solved after discussions and reassessments of the case to eventually arrive at a consensus. After consolidating the coding results, the two coders named each generic category of big data analytics capabilities using content-characteristic words.
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