Presenting an interactive marketing model based on causal, contextual and intervening variables in the steel industry
الموضوعات :
Hossein Vahidi Iry Sofla
1
,
Mahmoud Ahmadi Sharif
2
,
Mohammad Nasrolahnia
3
,
peyman Ghafari Ashtiani
4
1 - PhD Student, Business Management, Kish International Branch, Islamic Azad University, Kish, Iran.
2 - Assistant Professor, Department of Business Management, Shahr-e- Qods Branch, Islamic Azad University, Tehran, Iran.
3 - Assistant Professor, Department of Business Management, South Tehran Branch, Islamic Azad University, Tehran, Iran.
4 - Assistant Professor, Department of Business Management, Arak Branch, Islamic Azad University, Arak, Iran.
الکلمات المفتاحية: content-oriented interactive marketing, causal variables, contextual variables, intervening variables, consequences of the model, steel industry.,
ملخص المقالة :
The purpose of this research is Presenting an interactive marketing model based on causal, contextual and intervening variables in the steel industry based on the foundational data theory method. In this research, based on interview tools from experts and senior managers of the steel industry, many factors related to content-based marketing, and research variables have been identified and structures related to each variable have been presented using open, central and selective coding methods. In the next step, based on the analysis of the data obtained from the questionnaire, by confirmatory factor analysis method with PLS technique, the factor load and combined reliability for the research variables were calculated above 0.4 and 0.7, respectively, and as a result, the validity of each construct related to the factors And the implications of the research model were confirmed. Then, by the method of structural equations and estimation of the final model, causal factors, contextual factors, and intervening factors have been confirmed in the first to fourth positions of influence on content-based interactive marketing in the final model of the research. Finally, while presenting the research model with optimal overall goodness of fit, paying attention to the effects and consequences of the model including: internal and corporate consequences, competitive advantage, brand experience management, customer and market consequences are suggested.
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