Investigating the Effects of Network-Based Behaviors in International Industrial Markets

Document Type : Original Article

Authors

1 PhD. candidate in Business Administration, Tabriz branch, Islamic Azad university, Tabriz, Iran.

2 Associated Professor , Hadi shahr branch, Islamic Azad University, Hadi shahr, Iran.

3 Department of Management, Tabriz Branch, Islamic Azad University, Tabriz, Iran

4 Professor in Department of Management, Tabriz Branch, Islamic Azad University, Tabriz, Iran

Abstract

The purpose of this study was to investigate the effects of network-driven behaviors in international industrial markets. Based on theoretical and empirical background, the conceptual model of research has been developed in the form of five main hypotheses and five sub-hypotheses. The statistical population includes all manufacturing and industrial companies of East Azarbaijan province, which have licenses to build and operate the industry, mining and trade organization of the province and have export performance. The sample size selected is 354 units based on Morgan's table. The data gathering tool was a questionnaire and its design with Likert range of five options was performed using valid sources and its content validity was confirmed by using CVI and CVR methods. Also, its reliability was assessed using Cronbach's alpha coefficient and Confirmed. Data were analyzed using SPSS and AMOS software. The results of the research showed that network-driven behaviors are not affected by market-oriented behaviors (competing-driven behaviors and customer-centric behaviors). Market-oriented behaviors have a positive impact on the company's export performance. The impact of network-driven behaviors varies on the effectiveness of the portfolio with its close proximity to end-users. The impact of network-driven behaviors varies on the effectiveness of the portfolio due to technological turmoil. Network-driven behaviors have a positive impact on the effectiveness of the company's communications portfolio. The overall results showed that the model is in good agreement with the data. Therefore, the original model of research has been approved with appropriate fittings.

Keywords


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