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The Nature of Relationships between Intelligent Enterprise Stakeholders within a Competitive Pole: A New Perspective

Author

Listed:
  • Matei Ramona-Mihaela

    () (Bucharest University of Economic Studies, Romania)

  • Radu Ioan

    () (Bucharest University of Economic Studies, Romania)

Abstract

As a key agent in a competitive pole, intelligent enterprise includes, as well as other organizations that provide goods and services, the various categories of stakeholders. Due to the large number of stakeholders, relationship management of them at intelligent enterprise level presents a high degree of complexity. This involves precisely identifying of relevant stakeholder groups and how relationships with them can be effective managed in the business model. This paper aims to provide a new perspective of the complex system of relationships that exist between the main stakeholders of an intelligent enterprise within a competitive pole structures and also intends to propose a framework that can support managers of such organization in assessing and estimating the models reactions and actions required to manage dynamic relationships with its stakeholders.

Suggested Citation

  • Matei Ramona-Mihaela & Radu Ioan, 2012. "The Nature of Relationships between Intelligent Enterprise Stakeholders within a Competitive Pole: A New Perspective," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(2), pages 795-800, Decembre.
  • Handle: RePEc:ovi:oviste:v:xii:y:2012:i:2:p:795-800
    as

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    File URL: http://stec.univ-ovidius.ro/html/anale/ENG/cuprins%20rezumate/volum2012p2v2.pdf
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    References listed on IDEAS

    as
    1. Kim, Moon-Koo & Park, Myeong-Cheol & Jeong, Dong-Heon, 2004. "The effects of customer satisfaction and switching barrier on customer loyalty in Korean mobile telecommunication services," Telecommunications Policy, Elsevier, vol. 28(2), pages 145-159, March.
    2. Panait, Iulian, 2011. "Stock market diagnosis," MPRA Paper 44247, University Library of Munich, Germany.
    3. K. Coussement & D. Van Den Poel, 2006. "Churn Prediction in Subscription Services: an Application of Support Vector Machines While Comparing Two Parameter-Selection Techniques," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 06/412, Ghent University, Faculty of Economics and Business Administration.
    4. B. Larivière & D. Van Den Poel, 2004. "Investigating the role of product features in preventing customer churn, by using survival analysis and choice modeling: The case of financial services," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 04/223, Ghent University, Faculty of Economics and Business Administration.
    5. K. Coussement & D. Van den Poel, 2008. "Churn prediction in subscription services: an application of support vector machines while comparing two parameter-selection techniques," Post-Print hal-00788096, HAL.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    intelligence; intelligent enterprise; stakeholder relationship; competitive pole; stakeholder relationship management;

    JEL classification:

    • D80 - Microeconomics - - Information, Knowledge, and Uncertainty - - - General
    • L50 - Industrial Organization - - Regulation and Industrial Policy - - - General
    • M10 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - General
    • O10 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - General
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • P40 - Economic Systems - - Other Economic Systems - - - General

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