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Traditional companies used to design products, evaluate marketing messages, and control product distribution channels with a low level of customer contribution. Nonetheless, with the advancements in communication and information technologies, the interaction between customers and company is much higher compared to the past, and it is no longer solely controlled by the companies; thus, users can now impact companies by simultaneously playing two roles as value creators and as consumers. The present study develops a conceptual framework for value co-creation in small- and medium-sized tourism agencies. The sample consisted of 23 purposefully selected employees and managers of small- and medium-sized tourism agencies. Data were extracted from semi-structured interviews and analyzed with open and axial coding. For validity, an eight-person panel of experts was asked to review the framework and to apply corrective comments. The reliability was tested using a re-test method, which confirmed the reliability of the coding with a re-test reliability of 79%. Based on the findings, the proposed framework contains eight components including value inception, value conception, value risk, resource planning, platform, actors, co-creation process, co-created value, and learning process, whose components were identified and encoded.

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Through public health studies, specifically on child obesity modeling, research scholars have been attempting to identify the factors affecting obesity using suitable statistical techniques. In recent years, regression, structural equation modeling (SEM) and partial least squares (PLS) regression have been the most widely employed statistical modeling techniques in public health studies. The main objective of this study to apply the Taguchi method to introduce a new pattern rather than a model for analyzing the body mass index (BMI) of children as a representative of childhood obesity levels mainly related to social media use. The data analysis includes two main parts. The first part entails selecting significant indicators for the proposed framework by applying SEM for primary and high school students separately. The second part introduces the Taguchi method as a realistic and reliable approach to exploring which combination of significant variables leads to high obesity levels in children. AMOS software (IBM, Armonk, NY, USA) was applied in the first part of data analysis and MINITAB software (Minitab Inc., State College, PA, USA) was utilized for the Taguchi experimental analysis (second data analysis part). This study will help research scholars view the data and a pattern rather than a model, as a combination of different factor levels for target factor optimization.