Intelligent competitive network and business performance mediated by marketing capabilities and competitive advantage in knowledge-based companies

Document Type : definition

Author

Payam Noor masters of West Tehran unit

10.22034/bs.2023.1974210.2677

Abstract

Abstract
Since different business organizations are affected by competitive advantage and struggle for survival, privatization and parts of information technology and digital economy, there are many factors involved in decision-making, so decision-making in business organizations should be based on the competitive intelligence network methodology. There are a large number of tools and a large number of factors. The purpose of this research is to understand the role of the competitive intelligent network on business performance with the mediating role of marketing capabilities and competitive advantage of knowledge-based companies located in the Science and Technology Park of Tehran University.This research is practical in terms of its purpose, and in terms of data collection, it is descriptive-survey. Its statistical population was 500 people related to the subject, based on Morgan's table, 217 people were selected as a statistical sample. The measuring instrument of this research is a questionnaire that was examined in terms of validity and reliability. After collecting the questionnaires, the data were analyzed using the structural equation modeling method with the partial least squares approach with the help of SPSS21 and Smart PLS2 statistical software.
In this way, it is suggested to use advanced and up-to-date systems, timely services, provide innovation in order to identify customer needs and discover creative opportunities in the importance market and obtain new information from customers and suppliers in the market and evaluate its effect on the performance of companies. be placed
Keywords: competitive intelligence network, business performance, competitive advantage

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Main Subjects



Articles in Press, Accepted Manuscript
Available Online from 12 June 2023
  • Receive Date: 23 November 2022
  • Revise Date: 24 January 2023
  • Accept Date: 19 February 2023