Purpose Restaurants with limited promotion budgets depend mainly on word of mouth (WOM) among customers. WOM seems particularly important to the marketing of services. This is because services are experiential in nature and difficult to assess before purchase. In the restaurants context there is little research on WOM. The purpose of this paper is to examine the factors that may influence tourists’ WOM about restaurants implying on the critical role of relationship quality. Design/methodology/approach A comprehensive literature review is conducted to identify the major factors influencing WOM in the context of restaurant industry. The study utilizes self-administered questionnaire survey and the target population are the customers who have referred to the restaurants of Tehran, Iran. A convenience sampling approach was utilized to collect a sample of 326 customers. A structural equation modeling procedure is applied to the examination of the antecedents of WOM. Findings The paper found that food quality, personal interaction quality, physical environment quality, and perceived value influence WOM behavior of customer in an indirect way through relationship quality. Practical implications This research conjectured that an understanding of factors that influence the tourist to talk each other about a given restaurant are worthy of additional research. Consequently, the study helps to understand how these factors can provide alternative sources of marketing to attract the long-term economic sustainability of restaurant industry in Iran. Originality/value To the authors’ knowledge, this research will be the first attempt to explore influential factors on WOM in restaurant industry focusing on the critical role of relationship quality. It is expected that researchers will find this research a contribution to the WOM literature, particularly in restaurant industry.
Coordination and harmony between different departments of a company can be an important factor in achieving competitive advantage if the company corrects alignment between strategies of different departments. This paper presents an integrated decision model based on recent advances of geometric programming technique. The demand of a product considers as a power function of factors such as product's price, marketing expenditures, and consumer service expenditures. Furthermore, production cost considers as a cubic power function of outputs. The model will be solved by recent advances in convex optimization tools. Finally, the solution procedure is illustrated by numerical example.
Technology assessment provides the requirements for decision-making with regard to development of technological capabilities. This paper presents a model for assessment of technological capability level of firms. This model was tested on 10 manufacturers of automotive parts in Iran. We choose some technology capability assessment models as the basis of our assessment model. Then, using field study by questionnaire and site visit, these firms' capability level was assessed. Results indicate that in most cases there are lack of appropriate soft aspects of technological capability like managerial, human and knowledge aspects, smooth and balanced technological capability, and appropriate tacit knowledge.
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