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The growth of brands’ activity and investment in cyberspace has provided a good opportunity to increase customer participation. Achieving this partnership requires a codified and indigenous model, and the present study was conducted to provide a model of customer participation in the brand’s virtual communities. This study is considered as basic research in terms of purpose and has been done with a cross-sectional survey approach. Since quantitative and qualitative methods are used, it is considered as mixed research. The statistical population included theoretical experts (marketing professors) and experimental experts (Mellat Bank managers). Purposeful sampling was used for sampling and it continued until theoretical saturation was achieved. Finally, the views of eleven experts were used. MaxQDA theme analysis software and software were used to identify the underlying categories of customer participation. Structural-interpretive method and MicMac software were used to present the template. Findings showed that the correct understanding of virtual brand communities and customer characteristics are the basic components that affect the strategic planning of branding and management of information and communication technology. These factors, in turn, affect sensory branding and the provision of banking website services and leading to customer engagement and their satisfaction and trust. Finally, in the shadow of customer trust and satisfaction, customer participatory behavior can be achieved. [ABSTRACT FROM AUTHOR]

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To be more valuable to customers than competitors, a company must develop competitive business strategies through marketing and operations. The present study aimed to develop a model for evaluating the impact of innovation dimensions, marketing strategy and market orientation on the company performance with the moderating role of environmental dynamism. This research is descriptive-correlative and applied in nature. A questionnaire was used for data gathering. Two hundred ninety-one top managers from nineteen cement factories in Iran were selected as the sample. Structural equation modelling (SEM), specifically SMART PLS, has been employed to assess the causal model and verify the validity and reliability of the measurement model. The findings showed that innovation dimensions, market orientation, and marketing strategies had significant effects on the company's performance. Environmental dynamics modifies the relationship between process, product innovation, and performance, but process innovation is negative and significant. Finally, managerial implications and suggestions are provided. These findings provide valuable guidance for managers in the manufacturing sector to achieve the desired quality with the right strategies and create appropriate innovations in the manufacturing sector. [ABSTRACT FROM AUTHOR]

Business environment is full of ups and down and this makes companies to develop different ways of using resources. By expanding life cycle of products, these ways can be cost effective and not harmful for environment. As Reverse Logistics (RL) uses a product after end of its life, it reduces pollution, therefore it has been considered as a part of sustainable development. The core goal of current research is developing a framework by which it evaluates Third Party RL Provider (3rdPRLP) using Multi-Criteria Decision-Making (MCDM) based on Fuzzy Additive Ratio ASsessment (FARAS). Thirty-seven criteria were identified, which are classified into seven main criteria. The main criteria were ranked as follows: product lifecycle position C1, RL process function C2, organizational performance C3, organizational role of RL C4, IT system and communication C5, general company consideration C6, geographical location C7. Market coverage, destination, financial considerations, integrated system, reclaim, efficiency and quality, and growth are each group's dominant sub-criteria. In addition, the current research helps the logistics managers to better understand the key attributes' complex relationships in the environment of decision-making. [ABSTRACT FROM AUTHOR]

This research aims to investigate the impact of customer satisfaction, experience, and loyalty on brand power in the Hotel industry. This study used a descriptive-survey research design based on the correlation method. The selected populations were Pars Hotels’ customers. Sample size was 384, based on Krejcie and Morgan’s sampling table. The structural equation modeling was used to evaluate the causal simulation and to examine the reliability and validity of the measuring model. The research results showed that customer expectation has the most impact on customer satisfaction with path coefficient of 0.74. On the other hand, customer loyalty, with path coefficient of 0.65, is known as an influential factor. This study helps to understand that customer satisfaction and customer expectations are positive drivers of customer loyalty. Customer loyalty also is a strong predictor of brand power in hoteling and tourism industry. By strengthening that part, which you have better resources, you can have a better supply and thus, there would be more opportunities in establishing reputation and increasing visibility. [ABSTRACT FROM AUTHOR]

Copyright of Transformations in Business & Economics is the property of Vilnius University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Transformations in Business & Economics is the property of Vilnius University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)