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The Business Alignment of Social Media Analytics

Title data

Kleindienst, Dominikus ; Pfleger, Regina ; Schoch, Manfred:
The Business Alignment of Social Media Analytics.
2015
Event: 23rd European Conference on Information Systems (ECIS) , 26.-29.05.2015 , Münster, Germany.
(Conference item: Conference , Paper )

Official URL: Volltext

Abstract in another language

Many companies have realized the immense potential of Social Media (SM) insights and have started to use concepts of Social Media Analytics (SMA) to reveal them. However, despite the importance of SMA, executives frequently hand off the topic to IT departments, instead of being actively involved in the business alignment of SMA. While existing SMA literature frequently identifies this need, it only addresses individual steps of the business alignment rather than suggesting comprehensive approaches. In order to contribute to the scientific discussion, we adapt a framework from the requirements engineering field to structure the field of action and enable decision-makers to define the SM insights beneficial to their individual goals. To help practitioners with the application of our work, we show a practical example of how to use the framework, and present possible SMA concepts based on current literature that can be used to collect the required SM insights.

Further data

Item Type: Conference item (Paper)
Refereed: Yes
Keywords: Social Media; Social Media Analytics; Requirements Engineering; Business Alignment
Institutions of the University: Faculties > Faculty of Law, Business and Economics > Department of Business Administration
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Professorship Business Information Systems and Value Oriented Process Management
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Professorship Business Information Systems and Value Oriented Process Management > Professorship Business Information Systems and Value Oriented Process Management - Univ.-Prof. Dr. Maximilian Röglinger
Research Institutions
Research Institutions > Affiliated Institutes
Research Institutions > Affiliated Institutes > Fraunhofer Project Group Business and Information Systems Engineering
Research Institutions > Affiliated Institutes > FIM Research Center Finance & Information Management
Result of work at the UBT: No
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
300 Social sciences > 330 Economics
Date Deposited: 13 Mar 2019 11:26
Last Modified: 13 Mar 2019 11:26
URI: https://eref.uni-bayreuth.de/id/eprint/47970