Digital social signal processing - theorectical underpinning and research agenda

Malsbender, Andrea, Voigt, Matthias, Beverungen, Daniel, & Rosemann, Michael (2013) Digital social signal processing - theorectical underpinning and research agenda. In Lee, Jae-Nam, Mao, Ji-Ye, & Thong, James (Eds.) PACIS 2013 Proceedings, AIS Electronic Library (AISel), Jeju Island, Korea.

View at publisher


Organizations make increasingly use of social media in order to compete for customer awareness and improve the quality of their goods and services. Multiple techniques of social media analysis are already in use. Nevertheless, theoretical underpinnings and a sound research agenda are still unavailable in this field at the present time. In order to contribute to setting up such an agenda, we introduce digital social signal processing (DSSP) as a new research stream in IS that requires multi-facetted investigations. Our DSSP concept is founded upon a set of four sequential activities: sensing digital social signals that are emitted by individuals on social media; decoding online data of social media in order to reconstruct digital social signals; matching the signals with consumers’ life events; and configuring individualized goods and service offerings tailored to the individual needs of customers. We further contribute to tying loose ends of different research areas together, in order to frame DSSP as a field for further investigation. We conclude with developing a research agenda.

Impact and interest:

Citation counts are sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

ID Code: 61621
Item Type: Conference Paper
Refereed: Yes
Additional Information: Published paper available at
Additional URLs:
Keywords: Social media, Social media analysis and engagement, Social signal
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > INFORMATION SYSTEMS (080600)
Divisions: Current > Schools > School of Information Systems
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Deposited On: 01 Aug 2013 04:19
Last Modified: 01 Aug 2013 23:42

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page