Special Issue Co-creation enabled by social web @ Information Systems Management

CFP Special Issue "Co-creation enabled by social web: Opinion mining solutions to information overload"

Information Systems Management

(JCR, IMPACT FACTOR 2010: 1.029)

Internet is now a vehicle to express opinions and share information to a
global community. The Web 2.0 phenomenon made the Web social, initiating an
explosion in the number of users of the Web and in the information
available. In this new scenario, collaboration and co-creation with
customers has emerged through habitual use of Web 2.0, by both companies and
clients alike (Vargo & Lusch, 2004). As a consequence of the endless
opportunities of social web, customers today have powerful tools to express
their opinions and influence in business systems. Armed with new tools and
dissatisfied with available choices, consumers want to interact with firms
and thereby ?co-create?
value (Prahalad & Ramaswamy, 2004)

Co-creation concept was introduced by Prahalad and Ramaswamy in their 2000
Harvard Business Review article, ?Co-Opting Customer Competence?.
These authors later pointed out that co-creation is an extension of the idea
developed by researchers interested in user-driven product innovation.
Co-creation is about joint creation of value by the company and the
customer. Corporation must create an experience environment in which
consumers can have active dialogue and co-construct personalized
experiences. Social web appears to adopt a key role in such environment.

But in spite of the importance of the concept and its endless applications
in business, co-creation enabled by social web faces a major challenge:
information overload. With the Social Web, the number of online reviews in
which people freely express their opinions on a whole variety of topics is
constantly increasingly. Opinion mining refers to a new subarea of
information retrieval and computational linguistics which identify and
extract the opinion and sentiments that a text expresses. It determines
critics? opinions about a given product, book review, etc. which are
expressed in online forums, blogs or comments. Opinions are very important
when someone wants to hear the other?s opinions before making a decision.
Opinion Mining has recently been applied in a wide variety of applications
in Politics, Government and Marketing applications.

The purpose of this special issue is to collect innovative and high-quality
research contributions regarding the role played by Opinion Mining and
Sentiment Analysis technologies in the industry.
This special issue aims to explore the application these technologies in the
product/service development cycle by soliciting original scientific
contributions in the form of theoretical and experimental research and case
studies.

Specifically, we seek original contributions on the following topics:
? Sentiment analysis and opinion mining
? Feature based opinion mining
? Application of Semantic Web technologies to opinion mining
? Opinion mining in product or service reviews
? Applications and case-studies


References
Vargo, S. L., & Lusch, R. F. (2004). Evolving to a new dominant logic for marketing. Journal of Marketing, 68(1), 1-17.
Prahalad, C.K., & Ramaswamy, V. (2004). The Future of Competition: Co-Creating Unique Value with Customers. Boston: Harvard Business School Press.
Prahalad, C.K., & Ramaswamy, V. (2000). Co-opting Customer Competence. Harvard Business Review, Jan/Feb2000, Vol. 78 Issue 1, p79-87.

Submission procedure
Papers submitted must have not been published previously or under
consideration for publication, though they may represent significant
extensions of prior work. Manuscripts should not normally exceed 7500 words
and should be submitted online at http://mc.manuscriptcentral.com/uism.
Authors will have to select Special Issue Submission as the manuscript type.
Author guidelines are available at ?Information for Authors? at
http://www.tandf.co.uk/journals/journal.asp?issn=1058-0530&linktype=44.
All submissions will be peer-reviewed following the double-blind review
process. The objective is to apply very high standards of acceptance while
ensuring fair, timely and efficient review cycles.

Working schedule
? Submission deadline: September 15th, 2012
? Completion of first round reviews: November 1st, 2012
? Revised papers: December 1st, 2013
? Target of the second (last) round of reviews: February , 28th, 2013
? Target for sending the accepted manuscripts to the publisher: April 1st, 2013
? Publication (tentative): Last quarter of 2013

Special Issue Editors
Rafael Valencia-García, Universidad de Murcia, Spain
http://webs.um.es/valencia/miwiki/doku.php?id=inicio
email: valencia@um.es

Ricardo Colomo-Palacios, Universidad Carlos III de Madrid, Spain
http://www.uc3m.es/portal/page/portal/grupos_investigacion/softlab/RicardoColomoPalacios
email: ricardo.colomo@uc3m.es