sh.sePublications
Change search
Link to record
Permanent link

Direct link
BETA
Degerstedt, Lars
Publications (10 of 20) Show all publications
Degerstedt, L. & Snickars, P. (2017). More Media, More People: On Social & Multimodal Media Intelligence. Human IT, 13(3), 54-84
Open this publication in new window or tab >>More Media, More People: On Social & Multimodal Media Intelligence
2017 (English)In: Human IT, ISSN 1402-1501, E-ISSN 1402-151X, Vol. 13, no 3, p. 54-84Article in journal (Refereed) Published
Abstract [en]

The purpose of this article is to address some challenges facing media intelligence in general, and competitive intelligence in particular within an altered information landscape. To understand this new situation, the notion of social and multimodal media intelligence are introduced. With cases taken primarily from the Swedish media intelligence sector, we argue that data driven media intelligence today needs to pay increasing attention to new forms of (A.) crowd-oriented and (B.) multimedia-saturated information. As a subcategory of media intelligence, competitive intelligence refers to the gathering of publicly available information about an organisation or a company’s competitors—using it to gain business advantages. Traditionally such intelligence has implied a set of techniques and tools that transforms numerical or textual data into useful information for business analysis. Today, however, we argue that such techniques need to consider media alterations in both a social and multimodal direction. Our analysis hence offers a conceptual understanding of a rapidly evolving field, were methods used within media intelligence need to change as well. By presenting some findings from the so called CIBAS-project, we describe how Swedish organisations and companies rely on social networking structures and individual decision making as a means to increase rapid response and agile creativity. If competitive intelligence was traditionally based on insights gleaned from statistical methods, contemporary media analytics are currently faced with audiovisual data streams (sound, video, image)—often with a slant of sociality. Yet, machine learning of other media modalities than text poses a number of technical hurdles. In this article we use fashion analytics as a final case in point, taken from a commercial sector where visual big data is presently in vogue.

Keywords
media intelligence; competitive intelligence; social and multimodal media intelligence; CIBAS-project; media and fashion analytics
National Category
Computer and Information Sciences
Research subject
Other research area
Identifiers
urn:nbn:se:sh:diva-33124 (URN)2-s2.0-85027562340 (Scopus ID)
Funder
Knowledge Foundation
Available from: 2017-08-17 Created: 2017-08-17 Last updated: 2018-01-13Bibliographically approved
Degerstedt, L. & Hermansson, C. (2016). CoCI: Collaborative support of social competitive intelligence. Huddinge: Södertörns högskola
Open this publication in new window or tab >>CoCI: Collaborative support of social competitive intelligence
2016 (English)Report (Other academic)
Abstract [en]

The aim of the presented work has been to investigate how the existing concept of social CI can be used to support collaborative CI networks. A novel socio-technical solution CoCI consisting of a work method and tool have been designed for a scenario with an internal network of collaborative competitive intelligence (CI). The CoCI work method suggests using agile, freeform collaboration through an informal organizational network. A distinction is made between the roles of network coordinators, contributors, clients and receivers. The work style follows regular temporal iterative loops, or sprints, each one ending in some form of intelligence outcome. The CoCI tool supports collaborative daily work with reading, commenting and classifying incoming material, where the actions of the network members are visible to each other. Furthermore, the CoCI tool supports having meetings using the tool where incoming material from the sprint is reviewed and a report is created. In the evaluation of the tool, the dimensions engagement, collaboration and community had high scores. In contrast, the dimension simplicity was less satisfactory. Four design patterns for social CI could be extracted based on the strong points of the evaluation: social selection, individual/collective box, real-time engagement and collaborative enhancement. The low score on simplicity will be investigated further, but indicates how crucial it is for social features to be intuitive in order to avoid making the overall solution too complex.

Place, publisher, year, edition, pages
Huddinge: Södertörns högskola, 2016. p. 21
Series
Working Paper, ISSN 1404-1480 ; 2016:2
Keywords
competitive intelligence, social competitive intelligence, social networking, organizational networks, collaborative work, enterprise social media, social software, enterprise 2.0, wikinomics, information systems, case studies, work systems, socio-technical systems, knowledge management.
National Category
Media Engineering
Identifiers
urn:nbn:se:sh:diva-29686 (URN)
Available from: 2016-03-07 Created: 2016-03-07 Last updated: 2017-03-03Bibliographically approved
Degerstedt, L. (2016). Making competitive intelligence “social”: Current practices in four organizations. Huddinge: Södertörns högskola
Open this publication in new window or tab >>Making competitive intelligence “social”: Current practices in four organizations
2016 (English)Report (Other academic)
Abstract [en]

The presented research has investigated empirically the current practices of how organizations are using CI today, and in particular what role collaboration and networking plays in such CI work processes. In particular, the investigation has examined what forms of collaborations and organizational networks are currently used in the CI work process. Four organizations have been examined as exploratory case studies. From this, a base model for social CI has been generated by extracting overall CI process characteristics from the investigated cases that relate to collaborative behavior and organizational networking. The study relies on the existing conceptual framework called the social CI framework intended for analysis and design of CI for the (socially) networking organization.

Place, publisher, year, edition, pages
Huddinge: Södertörns högskola, 2016. p. 28
Series
Working Paper, ISSN 1404-1480 ; 2016:1
Keywords
competitive intelligence, social networking, organizational networks, collaborative work, enterprise social media, social software, enterprise 2.0, wikinomics, information systems, case studies, work systems, socio-technical systems, knowledge management, computer-supported collaborative work, social competitive intelligence
National Category
Media Engineering
Identifiers
urn:nbn:se:sh:diva-29685 (URN)
Available from: 2016-03-07 Created: 2016-03-07 Last updated: 2017-09-22Bibliographically approved
Degerstedt, L. (2015). Social Competitive Intelligence: Socio-technical themes and values for the networking organization. Huddinge: Södertörns högskola
Open this publication in new window or tab >>Social Competitive Intelligence: Socio-technical themes and values for the networking organization
2015 (English)Report (Other academic)
Abstract [en]

This article introduces the notion of social competitive intelligence, meaning competitive intelligence (CI) for the networking organization. A novel socio-technical framework called the Social CI Framework (SCIF) is presented, intended for analysis and design of social CI processes, methods and tools. By using a socio-technical perspective, both social and technical aspects are considered together in SCIF. The framework is founded on theory related to enterprise 2.0 and wikinomics, and is intended to be used to study social CI using principles such as openness, participation, sharing and co-creation. The presented results are based on a literature review and an exploratory study with interviews of CI experts from Swedish organizations. SCIF explicitly distinguishes between task-oriented models and collaboration models, and models of different socio-technical perspectives. Moreover, SCIF uses the mechanisms of socio-technical themes and a socio-technical value map that relate the theoretical and empirical characteristics with the SCIF modeling method.

Place, publisher, year, edition, pages
Huddinge: Södertörns högskola, 2015. p. 55
Series
Working Paper, ISSN 1404-1480 ; 2015:3
Keywords
Competitive intelligence, networking organization, social computing, knowledge management, enterprise 2.0, social organization, sociotechnical systems, wikinomics, social networking, social learning, strategic management, competitive advantage, information systems, social media, computer-supported collaborative work
National Category
Media and Communication Technology
Identifiers
urn:nbn:se:sh:diva-28229 (URN)
Available from: 2015-09-10 Created: 2015-09-10 Last updated: 2018-01-11Bibliographically approved
Degerstedt, L. (2015). Social Competitive Intelligence: Socio-technical themes and values for the networking organization. Journal of Intelligence Studies in Business, 5(3), 5-34
Open this publication in new window or tab >>Social Competitive Intelligence: Socio-technical themes and values for the networking organization
2015 (English)In: Journal of Intelligence Studies in Business, ISSN 2001-015X, E-ISSN 2001-015X, Vol. 5, no 3, p. 5-34Article in journal (Refereed) Published
Abstract [en]

 This article introduces the notion of social competitive intelligence, meaning competitive intelligence (CI) for the networking organization. A novel socio-technical framework called the Social CI Framework (SCIF) is presented, intended for analysis and design of social CI processes, methods and tools. By using a socio-technical perspective, both social and technical aspects are considered together in SCIF. The framework is founded on a theory related to enterprise 2.0 and wikinomics, and is intended to be used to study social CI using principles such as openness, participation, sharing and co-creation. The presented results are based on a literature review and an exploratory study with interviews of CI experts from Swedish organizations. SCIF explicitly distinguishes between task-oriented models and collaboration models, and models of different socio-technical perspectives. Moreover, SCIF uses the mechanisms of socio-technical themes and a socio-technical value map that relate the theoretical and empirical characteristics with the SCIF modeling method.

Keywords
community, competitive advantage, competitive intelligence, computer- supported collaborative work, enterprise 2.0, information systems, knowledge management, networking organization, social computing, social learning, social media, social networking, social organization, socio-technical systems, strategic management, wikinomics
National Category
Information Systems Media and Communication Technology
Research subject
Other research area
Identifiers
urn:nbn:se:sh:diva-31255 (URN)000215637500002 ()2-s2.0-84957106017 (Scopus ID)
Funder
Knowledge Foundation
Available from: 2016-11-30 Created: 2016-11-30 Last updated: 2018-11-13Bibliographically approved
Wärnestål, P., Degerstedt, L. & Jönsson, A. (2007). Emergent Conversational Recommendations: A Dialogue Behavior Approach. In: Proceedings of the 8th SIGdial Workshop on Discourse and Dialogue. Paper presented at 8th SIGdial, Antwerpen, September 1-2, 2007. (pp. 63-66). Association for Computational Linguistics
Open this publication in new window or tab >>Emergent Conversational Recommendations: A Dialogue Behavior Approach
2007 (English)In: Proceedings of the 8th SIGdial Workshop on Discourse and Dialogue, Association for Computational Linguistics , 2007, p. 63-66Conference paper, Published paper (Other academic)
Place, publisher, year, edition, pages
Association for Computational Linguistics, 2007
National Category
Media and Communication Technology
Identifiers
urn:nbn:se:sh:diva-12553 (URN)
Conference
8th SIGdial, Antwerpen, September 1-2, 2007.
Available from: 2011-10-25 Created: 2011-10-25 Last updated: 2018-01-12Bibliographically approved
Wärnestål, P., Degerstedt, L. & Jönsson, A. (2007). Interview and Delivery: Dialogue Strategies for Conversational Recommender Systems. In: Joakim Nivre, Heiki-Jaan Kaalep, Kadri Muischnek, Mare Koit (Ed.), Proceedings of the 16th Nordic Conference of Computational Linguistics NODALIDA-2007 (pp. 199-204). Tartu: University of Tartu
Open this publication in new window or tab >>Interview and Delivery: Dialogue Strategies for Conversational Recommender Systems
2007 (English)In: Proceedings of the 16th Nordic Conference of Computational Linguistics NODALIDA-2007 / [ed] Joakim Nivre, Heiki-Jaan Kaalep, Kadri Muischnek, Mare Koit, Tartu: University of Tartu , 2007, p. 199-204Conference paper, Published paper (Other academic)
Place, publisher, year, edition, pages
Tartu: University of Tartu, 2007
National Category
General Language Studies and Linguistics Media and Communication Technology
Identifiers
urn:nbn:se:sh:diva-12349 (URN)978-9985-4-0513-0 (ISBN)978-9985-4-0514-7 (ISBN)
Available from: 2011-10-19 Created: 2011-10-19 Last updated: 2018-01-12Bibliographically approved
Wärnestål, P., Degerstedt, L. & Jönsson, A. (2007). PCQL: A Formalism for Human-Like Preference Dialogues. In: 5th IJCAIWorkshop onKnowledge and Reasoningin Practical Dialogue Systems: Workshop Proceedings. Paper presented at IJCAI (pp. 46-54).
Open this publication in new window or tab >>PCQL: A Formalism for Human-Like Preference Dialogues
2007 (English)In: 5th IJCAIWorkshop onKnowledge and Reasoningin Practical Dialogue Systems: Workshop Proceedings, 2007, p. 46-54Conference paper, Published paper (Refereed)
National Category
Computer Sciences
Identifiers
urn:nbn:se:sh:diva-12693 (URN)
Conference
IJCAI
Available from: 2011-10-27 Created: 2011-10-28 Last updated: 2018-01-12Bibliographically approved
Degerstedt, L. & Jönsson, A. (2006). LinTest, A development tool for testing dialogue systems. In: INTERSPEECH 2006 and 9th International Conference on Spoken Language Processing (pp. 489-492). Pittsburgh (PA), USA: ICSLP
Open this publication in new window or tab >>LinTest, A development tool for testing dialogue systems
2006 (English)In: INTERSPEECH 2006 and 9th International Conference on Spoken Language Processing, Pittsburgh (PA), USA: ICSLP , 2006, p. 489-492Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
Pittsburgh (PA), USA: ICSLP, 2006
National Category
Computer Sciences
Identifiers
urn:nbn:se:sh:diva-12581 (URN)28171 (Local ID)9781604234497 (ISBN)28171 (Archive number)28171 (OAI)
Available from: 2009-10-10 Created: 2011-10-26 Last updated: 2018-01-12Bibliographically approved
Jönsson, A., Andén, F., Degerstedt, L., Flycht-Eriksson, A., Merkel, M. & Norberg, S. (2004). Experiences from combining dialogue system development with information extraction techniques. In: Mark T. Maybury (Ed.), New Directions in Question Answering (pp. 153-164). Menlo Park, Calif.: AAAI Press
Open this publication in new window or tab >>Experiences from combining dialogue system development with information extraction techniques
Show others...
2004 (English)In: New Directions in Question Answering / [ed] Mark T. Maybury, Menlo Park, Calif.: AAAI Press , 2004, p. 153-164Chapter in book (Refereed)
Place, publisher, year, edition, pages
Menlo Park, Calif.: AAAI Press, 2004
National Category
Computer Sciences
Identifiers
urn:nbn:se:sh:diva-12695 (URN)0-262-63304-3 (ISBN)
Available from: 2011-10-27 Created: 2011-10-28 Last updated: 2018-01-12Bibliographically approved
Organisations

Search in DiVA

Show all publications