2014•American Journal of Business and ManagementOpen access

Investigating the Role of Selected Marketing-Mix Variables in Formatting Corporate Image in Egyptian Market

Ahmed Yehia Ebeid

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Abstract

The current study aims at investigating the relationship between selected marketing-mix variables (i.e., price, advertising, monetary promotion, distribution intensity) and corporate image, in the consumer markets, unlike research that concerned business market, or/and different group of marketing-mix variables, in terms of addressing their expected relationships with corporate image. The questionnaire response rate is approximately 83%. Structural equation modeling was used to investigate the proposed relationships, and the model`s fit as well. Significance of all relationships were verified, and the proposed model fits the data. Implications, limitations, and further research are provided.

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The current study aims at investigating the relationship between selected marketing-mix variables (i.e., price, advertising, monetary promotion, distribution intensity) and corporate image, in the consumer markets, unlike research that concerned business market, or/and different group of marketing-mix variables, in terms of addressing their expected relationships with corporate image. The questionnaire response rate is approximately 83%. Structural equation modeling was used to investigate the proposed relationships, and the model`s fit as well. Significance of all relationships were verified, and the proposed model fits the data. Implications, limitations, and further research are provided.

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Available abstract

The current study aims at investigating the relationship between selected marketing-mix variables (i.e., price, advertising, monetary promotion, distribution intensity) and corporate image, in the consumer markets, unlike research that concerned business market, or/and different group of marketing-mix variables, in terms of addressing their expected relationships with corporate image. The questionnaire response rate is approximately 83%. Structural equation modeling was used to investigate the proposed relationships, and the model`s fit as well. Significance of all relationships were verified, and the proposed model fits the data. Implications, limitations, and further research are provided.

Key concepts: Marketing mix, Structural equation modeling, Marketing, Marketing mix modeling, Promotion (chess), Disk formatting, Variables, Business

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