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Track21: Openness as an IS/IT Strategy - Open Data, Models, Platforms, and Sources

Track Chairs

Daniel Schlagwein, University of New South Wales, Australia, schlagwein@unsw.edu.au
Juho Lindman, Hanken School of Economics, Finland, juho.lindman@hanken.fi
Jan-Marco Leimeister, University of Kassel, Germany, leimeister@uni-kassel.de
Joseph Feller, University College Cork, Ireland, jfeller@afis.ucc.ie
Matti Rossi, Aalto University, Finland, matti.rossi@aalto.fi
Richard Vidgen, University of Hull, UK, r.vidgen@hull.ac.uk

Description

IS/IT-enabled "open" phenomena—e.g., open source software, open data, open content, open innovation, collective intelligence, or crowdsourcing—have emerged as major themes in IS/IT practice and research. For example, open strategies of businesses may encompass open innovation approaches that look across organizational boundaries for finding suitable combinations of ideas and capabilities for product development with the help of IS/IT. Others have extended IS/IT-enabled open strategies to other parts of the "value chain" of their business: Many businesses now rely on IS/IT-based open and social approaches for marketing their product and for providing costumer support. In addition, many governments and non-for-profit organizations use or investigate open strategies.

The recent trend of opening up government and private data in societies may transform both the supply and the demand of data. We can see new services and applications in many areas (e.g., traffic, news, general media) as the available amount of open data grows. Governmental units and other authorities open vast data resources concerning legal documents, catalogues, governmental statistics, geographical data, traffic data, health data, etc. Until recently, research on open data related "hackerism" and service development has been the domain of computer science, focusing on technical availability and data format standards. Yet, we are moving into an era of consuming open data that is creating novel opportunities and challenges for new services and businesses. This calls for research in information systems to better understand these opportunities and challenges.

A major proportion of Internet users participate in digital social networks and/or co-creation activities such as the creation of open content (e.g., Wikipedia), meta-content (e.g., social bookmarking), and open source software. Organizations increasingly adopt similar strategies to promote "internal openness" through using wikis, social software, and collaborative development environments within Intranets as well as promoting "external openness" through using co-creation and crowdsourcing platforms. The strong research interest regarding the open phenomena is evident in the large number of special issues on open source development and social media in the top tier journals of the IS field. However, many facets of IS/IT-driven open strategies remain underexplored, theoretical conceptualizations of openness need to be developed, and only few IS curricula have fully incorporated "open and social" components into IS/IT teaching.

The aim of this track is to provide a forum for the most recent research in this domain. We invite you to submit your best theoretical and empirical work that significantly contributes to our knowledge of IS/IT strategies based on open data, models, platforms, and sources. Authors should consider submitting papers to the track that focus on (a) the role of openness in organizational IS/IT development, acquisition, deployment, and management or (b) the role of IS/IT in supporting open strategies and approaches in businesses, organizations, and governments. We encourage papers with a strong IS/IT focus rather than papers on general business strategy. Furthermore, we encourage papers with a organizational or business perspective rather than papers on individual behavior in the social web. The track is open to different methodological and epistemological approaches.Topics of submissions may include, but are not limited to:

Topics of interest

  • Aggregation of open and proprietary data
  • Business models based on open strategies
  • Collaboration-based innovation
  • Collective intelligence, collective creativity, and idea competitions in businesses and organizations
  • Crowdsourcing and cloudwork
  • Enterprise 2.0 and enterprise social software
  • Open data
  • Open data as an organizational phenomenon
  • Open data in media
  • Open innovation intermediary platforms
  • Open location/sensor data based services
  • Open process innovation
  • Open service innovation
  • Open source software, open standards, and open APIs
  • Open strategies of businesses, governments and other organizations
  • Peer and community-driven production of data and related services
  • Political and societal dimensions of openness
  • Privacy issues related to open data and open data services

Associate Editors

Benjamin Müller, University of Mannheim, Germany
Björn Lundell, University of Skövde, Sweden 
George Kuk, Nottingham University, UK
Jeffrey Moretz, University of Ontario Institute of Technology, Canada
Jeremy Hayes, University College Cork, Ireland
Kai Fischbach, University of Bamberg, Germany
Lorraine Morgan, National University of Ireland, Ireland
Maija Töyry, Aalto University, Helsinki, Finland
Michael Cahalane, University of New South Wales, Australia
Patrick Finnegan, University of New South Wales, Australia
Pavel Andreev, University of Ottawa, Canada
Philip O'Reilly, University College Cork, Ireland 
Thanos Papadopoulos, University of Hull, UK
Timothy Olson, Georgia State University, USA
Tsiavos Prodromos, London School of Economics, UK
Ville Oksanen, University of Helsinki, Finland
Xiaofeng Wang, Free University of Bozen/Bolano, Italy


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