[AISWorld] CFP - Special Issue Co-creation enabled by social web

[RAFAEL VALENCIA GARCIA]

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 at 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 at uc3m.es