- Title
- Leveraging the potential of NeuroIS for business analytics
- Creator
- Hariharan, Anuja; Kunze, Johannes; Adam, Marc T. P.
- Relation
- GDN 2015: International Conference on Group Decision & Negotiation. Proceedings of the 15th International Conference on Group Decision & Negotiation (Warsaw, Poland 22-26 June, 2015) p. 375-380
- Publisher
- Warsaw School of Economics Press
- Resource Type
- conference paper
- Date
- 2015
- Description
- Recent technologies have helped transform data to meet customer expectations in unparalleled ways and to optimize business operations as well. Companies leverage business analytics for individualization of products and services, targeting customers, optimizing operational processes, and supporting financial and HR planning. Very often, data about customers and employees is involved. While data on employee and customer behavior can be obtained using techniques such as clickstream analysis, assessing specific metrics of the cognitive and affective state of the customer or employee, such as emotions or workload poses a challenge. Furthermore, business analytics software could benefit from live feedback of user-data in order to adapt to the user's current state, e.g. adapt the level of information. NeuroIS methodologies are indispensable in this context: to assess specific metrics of users, such as emotions, or workload levels while making a particular decision, while using a product or service, or while using business analytics software. In this paper we propose a framework to blend the potential of NeuroIS methodologies for enhancing existing Business Analytics methods.
- Subject
- business analytics; business intelligence; NeuroIS; customer expectations
- Identifier
- http://hdl.handle.net/1959.13/1336262
- Identifier
- uon:27581
- Identifier
- ISBN:9788373789852
- Language
- eng
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