-------- Weitergeleitete Nachricht -------- Betreff: [WI] CfP 1st International Workshop on Intelligent Data Analysis in Integrated Social CRM (iCRM 2016) Datum: Thu, 21 Apr 2016 16:11:18 +0200 Von: Rainer Alt rainer.alt@uni-leipzig.de Antwort an: Rainer Alt rainer.alt@uni-leipzig.de An: wi@lists.uni-karlsruhe.de
******************* C A L L F O R P A P E R S ******************* WORKSHOP co-located with
19th International Conference on Business Information Systems - BIS 2016 ********************************************************* Leipzig University, Germany July 6 - 8, 2016 bis2016.org
********************************************************************** 1st International Workshop on Intelligent Data Analysis in Integrated Social CRM (iCRM 2016) **********************************************************************
Submission deadline: May, 22, 2016
Integrated Social Customer Relationship Management (Social CRM) is an emerging concept that includes strategies, processes and technologies that bring together Social Media on the Web and CRM processes. However, transforming the large mass of data available on social media into value adding opportunities for companies remains challenging. Today, a variety of software applications based on Web and Text Mining techniques is used for this task. These are helpful for identifying relevant Social Media postings and for extracting basic information (e.g. number of "likes", occurrence of key words in postings, identification of simple sentiments), but they are insufficient for identifying more complex patterns, for example, semantic relationships between actors, profiles and postings from large, dispersed and unstructured databases. For instance, advanced techniques such as Semantic Business Intelligence (SBI) (e.g., semantic enrichment and disambiguation of social media data, data warehouses based on the semantic Web, semantic interoperability) or Computational Intelligence (CI) (e.g. artificial neural networks, Bayesian models, fuzzy systems and evolutionary computing) promise a great potential to improve the capabilities in knowledge discovery and may also enable new usage scenarios in Social CRM (e.g. impact simulation, network analysis, topic development, trend prediction) in various domains (e.g. tourism, banking, energy, public sector, publishing, health, logistics, education). The workshop aims to shed light on current research efforts targeting the development of innovative tools and methods for intelligent data analysis in Social CRM, resulting in new (integrated) processes and capabilities. The setup is interdisciplinary and invites researchers as well as professionals to contribute research papers, case studies or to present prototypes on relevant topics, both completed and ongoing. The workshop will take place in conjunction with the Annual Meeting of the German-Brazilian Partnerships for Social CRM and a tutorial on Data Analysis in Social CRM hosted by the Social CRM Research Center.
Topics of interest ************* * Innovative Social CRM tools * Social CRM in business * Novel data analysis algorithms * Data integration and fusion in Social CRM * Innovative and data-driven Social CRM processes * Data enabled Social CRM scenarios * Big data approaches in Social CRM * CRM process support on the Social Web * Requirement and current short comings of Social Analytics * Value of data analysis in Social CRM * Theory development * Case studies representing the current and new scenarios in Social CRM * Crowdsourcing in data analysis * Privacy-preserving analysis * Privacy Management and data analysis in Social CRM * Data quality in Social CRM Analytics
Submission guidelines ***************** * Full research papers: max. 12 pages * Research in progress: max. 7 pages * Case studies and teaching cases: max. 5 pages * Prototypes, including an extended abstract: max. 5 pages
Submitted papers must be original, unpublished, and not submitted to another conference or journal for consideration. Authors must follow the LNBIP formatting guidelines. Papers approved for presentation will be published in the BIS 2016 workshop post-conference proceedings, as a volume in Lecture Notes in Business Information Processing series by Springer after a second review round. Submissions need to be anonymized and will receive at least three reviews. Submissions have to follow the defined page limits (including figures, tables, appendices and references). Registration for the BIS 2016 conference entitles to participate in the conference, as well as in all workshops and tutorials held in conjunction with it. At least one author of each paper needs to register for the conference for the paper to be included in proceedings. All submissions must be submitted via the Easychair conference system (https://easychair.org/account/signin.cgi?key=36700373.kr6BxuvzyUAORccf).
Important dates ************* * Deadline extension: May 22, 2016 * Notification of acceptance/rejection: Jun 5, 2016 * Submission of final papers: Jun 26, 2016 * Workshop: Jul 6-8, 2016 * Tutorial: Jul 6, 2016
Organizers and Chairs ***************** Leipzig University/Social CRM Research Center, Germany * Rainer Alt * Olaf Reinhold
Program Committee **************** * Emílio Arruda, FUMEC University and University of Amazon, Brazil * Sören Auer, University of Bonn, Germany * Nino Carvalho, Fundacao Getulio Vargas and Universidade do Porto, Brazily * Marco Cristo, Federal University of Amazonas, Brazil * Harry Cruz, Social CRM Research Center, Germany * Renato Fileto, Federal University of Santa Catarina, Brazil * Marcia Fontes, University of Amazon and Federal University of Pará, Brazil * Antonio Fernando Lavareda Jacob Jr., University of Amazon and Federal University of Pará, Brazil * Fábio Lobato, Federal University of Pará and Federal University of Western Pará, Brazil * Axel Ngonga, Leipzig University, Germany * Ádamo Santana, Federal University of Pará, Brazil * Sandra Turchi, Digitalents and Escola Superior de Propaganda e Marketing, Brazil * Matthias Wittwer, Leipzig University, Germany * Hans-Dieter Zimmermann, FHS St. Gallen University of Applied Sciences, Switzerland
*** Rainer Alt, Prof. Dr. Leipzig University Information Systems Institute http://www.iwi.uni-leipzig.de/as facebook.com/IWIASLEIPZIG
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