• DocumentCode
    1782765
  • Title

    Clustering based techniques for business classification based on the binomial-tactical strategy to manage their online reputation model

  • Author

    Lopez-Lopez, David ; Bauza, Guillem Bou ; Rivera, Olga

  • Author_Institution
    La Salle, Ramon Llull Univ., Barcelona, Spain
  • fYear
    2014
  • fDate
    18-21 June 2014
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    Most of today´s emerging professions come from digital business sectors. In these various sectors of activity research shows that managers of organizations understand the impact of online reputation crisis, but show a remarkable lack of strategic vision and resources to anticipate them. Shortcomings were also detected to react to them via digital tools such as social networks, ICT dissemination tools, etc... In this article, that is based on a study of 336 managers (CEOs or Managing Directors, Directors, Middle Management and Technical) in the province of Barcelona (Spain), are detected, using statistical techniques of crossing clusters, aspects of behavior related to strategy and tactics. The result is a classification of strategic behavior of firms that indicates different levels of development as far as corporate reputation online is concerned.
  • Keywords
    business data processing; pattern classification; pattern clustering; statistical analysis; ICT dissemination tools; binomial-tactical strategy; business classification; clustering based techniques; crossing clusters; digital business sectors; digital tools; firm strategic behavior classification; online corporate reputation model; social networks; statistical techniques; Electronic mail; Innovation management; Internet; Media; Silicon; Web sites; Entrepreneurship; Estrategia; Internet; Marketing Online; Reputación; Social Media; Start-up;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Systems and Technologies (CISTI), 2014 9th Iberian Conference on
  • Conference_Location
    Barcelona
  • Type

    conf

  • DOI
    10.1109/CISTI.2014.6876990
  • Filename
    6876990