سلیمان ایران زاده

Purpose: This study extends the current understanding of customer engagement by examining the impact of relationship bonding and relationship quality on customer engagement in value creation for online taxis.Method: A quantitative research design was used to validate the hypotheses proposed in this research. Customer engagement has become an important metric for measuring the quality of relationships between brands and their customers. Despite this, there has been limited research into how relationship bonds affect the effectiveness of building such a relationship in online taxi services. A survey was conducted using the convenience method among 600 users of online transportation services in the city of Urmia, Iran to test the theoretical model. Structural equation modelling in software Amos 23 were used in this study to test the research hypotheses. Findings: Findings showed that relationship bonding (financial, social, and structural) positively affects the quality of online relationships. Moreover, it was found that the quality of online relationships had a positive impact on all four aspects of customer engagement value (lifetime value, influence value, customer knowledge value, and customer referral value).Conclusion: In order to demonstrate the promotion of customer engagement through relationship bonds and online relationship quality, the study adds new data to the literature on online taxis services. Online taxi services are able to offer open innovation structures to help them   increase customer engagement, gather innovative ideas and integrate them into their operations. In this regard, in order to enrich ideas, customers who have successfully come up with new ideas should be rewarded.

The present research has been done with a view to designing content marketing model at social media for boosting green marketing. As regards purpose, it is an applied research,and in terms of approach an exploratory survey, and typically, it can be subsumed under a qualitative research. The analysis approach of this research is meta-synthesis. The statistical community consists of academic and scholarly articles published between 2016-2021/1395-1401 on the pertinent area of this study at Iran`s and foreign trustworthy databases. According to our findings, 1740 articles were retrieved, 324 abstracts were sieved and 186 abstracts were investigated. It was established that the titles of 1416 articles were irrelevant, and consequently they were omitted. 138 articles were deleted once their abstracts had been reviewed and found irrelevant and 95 articles were left out after a survey of their contents. The criteria used were size of the statistical sample, theoretical sufficiency (theoretical saturation), and finally 56 articles were accepted. The outcome of this process was 49 codes, 23 concepts and 10 categories. The Kappa index was used to guarantee the quality of our research. The amount of the index was calculated using the SPSS software at the significant level of 0/000 number 0/806. According to the evaluation and the extracted concepts and categories in the present research, the content marketing model of social media (Instagram) for boosting green marketing was designed based on three groups of factors: causal, mediating and consequential. The results of the findings show that in the process of content marketing of social media for boosting green marketing, a set of variables play a causal role, and can act as stimulants or propelling agents, and if the causal and mediating factors come properly about, this can culminate in the boosting of the service or product`s brand and an appropriate competitive advantage regarding green marketing in the organizations will also emerge.