The Experts below are selected from a list of 219 Experts worldwide ranked by ideXlab platform

Li Wen-jua - One of the best experts on this subject based on the ideXlab platform.

  • Competitive Intelligence Function of Patent Citation Based On DPCI--Taking Carbon Nanotube as an Example
    Information Sciences, 2015
    Co-Authors: Li Wen-jua
    Abstract:

    The competitive Intelligence Function of patent citation was studied based on the patent citationinformation on DPCI of DII. The core patents, the potential core patents, the main competitor andpotential partner institutions of carbon nanotube was mined by patent citation, through patents patents andpatent references cited scientific literature dig out potential competitors,the carbon nanotube field oftechnical research hot spot maps was drawn by patent citations and the valuable competitive Intelligenceof single- piece patent was mined by patent citation analysis,the competitive Intelligence Function ofpatent citation information was verified.

Ebrahim Teimoury - One of the best experts on this subject based on the ideXlab platform.

  • an integrated artificial neural network and system dynamics approach in support of the viable system model to enhance industrial Intelligence the case of a large broiler industry
    Systems Research and Behavioral Science, 2014
    Co-Authors: A Azadeh, Kosar Darivandi Shoushtari, Mortezza Saberi, Ebrahim Teimoury
    Abstract:

    Organizational cybernetics is one of the powerful systems approaches that benefits from the viable system model (VSM). The model is very general and is usually in need of complementary methods. In this article, one of artificial Intelligence methods, artificial neural networks (ANNs), and system dynamics simulation have been used in support of the VSM. Iran broiler industry is conceived as a complex economic system and has been modelled using VSM. Operational elements, coordination, control, development, policy Functions and environment of the industry are identified. ANN has been utilized in service of the controller (system 3) and the Intelligence Function (system 4) of the industry. ANN helps system 3 to anticipate market deviation from defined targets and reduce action delays for feeding the system back. A model in which ANN and system dynamics simulation are combined helps systems 4 and 5 manage external relationships by facilitation of defining imports tariff for maize and soybean, which are detected as critical environmental elements in identifying the industry environment. Maize and soybean cost contribute to more than 60% of chicken meat cost in Iran. Chicken meat is a high-consumed product all over the world and one of the main sources of protein. Suitable price of chicken meat is an important factor for the industry managers in Iran. As illustrated in the paper, artificial Intelligence can improve VSM subsystems Functioning and enhance the industry Intelligence and regulation against internal and external oscillations. Copyright © 2013 John Wiley & Sons, Ltd.

Nayni Zerzan - One of the best experts on this subject based on the ideXlab platform.

A Azadeh - One of the best experts on this subject based on the ideXlab platform.

  • an integrated artificial neural network and system dynamics approach in support of the viable system model to enhance industrial Intelligence the case of a large broiler industry
    Systems Research and Behavioral Science, 2014
    Co-Authors: A Azadeh, Kosar Darivandi Shoushtari, Mortezza Saberi, Ebrahim Teimoury
    Abstract:

    Organizational cybernetics is one of the powerful systems approaches that benefits from the viable system model (VSM). The model is very general and is usually in need of complementary methods. In this article, one of artificial Intelligence methods, artificial neural networks (ANNs), and system dynamics simulation have been used in support of the VSM. Iran broiler industry is conceived as a complex economic system and has been modelled using VSM. Operational elements, coordination, control, development, policy Functions and environment of the industry are identified. ANN has been utilized in service of the controller (system 3) and the Intelligence Function (system 4) of the industry. ANN helps system 3 to anticipate market deviation from defined targets and reduce action delays for feeding the system back. A model in which ANN and system dynamics simulation are combined helps systems 4 and 5 manage external relationships by facilitation of defining imports tariff for maize and soybean, which are detected as critical environmental elements in identifying the industry environment. Maize and soybean cost contribute to more than 60% of chicken meat cost in Iran. Chicken meat is a high-consumed product all over the world and one of the main sources of protein. Suitable price of chicken meat is an important factor for the industry managers in Iran. As illustrated in the paper, artificial Intelligence can improve VSM subsystems Functioning and enhance the industry Intelligence and regulation against internal and external oscillations. Copyright © 2013 John Wiley & Sons, Ltd.

E. Sona - One of the best experts on this subject based on the ideXlab platform.

  • The internet and competitive Intelligence: A survey of current practice
    International Journal of Information Management, 1994
    Co-Authors: Blaise Cronin, K. Overfelt, K. Fouchereaux, T. Manzvanzvike, M. Cha, E. Sona
    Abstract:

    The Internet has the potential to become a major strategic information tool for commercial enterprises. Many companies, large and small, are already using the Internet to gain an edge in an increasingly competitive business environment, both domestically and internationally. It may well be that the Internet is the next major phase in the evolution of the competitive Intelligence Function in advanced organizations, especially as commercialization of the network intensifies. This article describes an exploratory study of business use of the Internet for competitive Intelligence purposes.