Used methodologies and weighting of the sample studies
| Author(s) | Research topic | Objective(s) | Methodology/Approach | Weighting |
|---|---|---|---|---|
| Morra et al. (2018) | “Social vs traditional media communication: brand origin associations strike a chord.” | To develop an analytical comparison between the impact of social media communication (both UG and FC) and the effects of traditional media communication | A total of 192 questionnaires were gathered via a survey link on Italian beer brand pages. Applied structural equation modeling assessed the influence of social and traditional media communication on brand equity | Quantitative |
| Schivinski and Dabrowski (2015) | “The impact of brand communication on brand equity through Facebook.” | To fill the gap in the discussion of the ways in which FC and UG social media brand communication impacts consumer-based brand equity (CBBE) metrics through Facebook | Analyzed 302 data sets from a standardized online survey to explore the influence of FC and UG social media brand communication on brand awareness, perceived quality and brand loyalty using structural equation modeling, examined the impact of social media communication on consumers' perception of brand equity metrics | Quantitative |
| Bruhn et al. (2012) | “Are social media replacing traditional media in terms of brand equity creation?” | To investigate the relative impact of brand communication on brand equity through social media as compared to traditional media | 393 datasets were collected through a standardized online survey. The analysis, employing structural equation modeling, delved into the interaction between social media and traditional media, exploring both general patterns | Quantitative |
| Lee (2012) | “That’s not the way it is: how user-generated comments on the news affect perceived media bias.” | To investigated UG comments on Internet news sites affect readers' inferences about public opinion and, subsequently, their perceptions of media bias and how ego-involvement moderates such effects | A South Korean online survey company enlisted 240 participants for a web-based experiment. Applied regression analysis | Quantitative |
| Author(s) | Research topic | Objective(s) | Methodology/Approach | Weighting |
|---|---|---|---|---|
| “Social vs traditional media communication: brand origin associations strike a chord.” | To develop an analytical comparison between the impact of social media communication (both UG and FC) and the effects of traditional media communication | A total of 192 questionnaires were gathered via a survey link on Italian beer brand pages. Applied structural equation modeling assessed the influence of social and traditional media communication on brand equity | Quantitative | |
| “The impact of brand communication on brand equity through Facebook.” | To fill the gap in the discussion of the ways in which FC and UG social media brand communication impacts consumer-based brand equity (CBBE) metrics through Facebook | Analyzed 302 data sets from a standardized online survey to explore the influence of FC and UG social media brand communication on brand awareness, perceived quality and brand loyalty using structural equation modeling, examined the impact of social media communication on consumers' perception of brand equity metrics | Quantitative | |
| “Are social media replacing traditional media in terms of brand equity creation?” | To investigate the relative impact of brand communication on brand equity through social media as compared to traditional media | 393 datasets were collected through a standardized online survey. The analysis, employing structural equation modeling, delved into the interaction between social media and traditional media, exploring both general patterns | Quantitative | |
| “That’s not the way it is: how user-generated comments on the news affect perceived media bias.” | To investigated UG comments on Internet news sites affect readers' inferences about public opinion and, subsequently, their perceptions of media bias and how ego-involvement moderates such effects | A South Korean online survey company enlisted 240 participants for a web-based experiment. Applied regression analysis | Quantitative |
Source(s): Authors’ compilations
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