Search results

This study aims to explore consumers’ perspectives on how packaging plays a role in their consumption experience and how it contributes to the formation of brand images. By adopting a consumer’s perspective, the authors identify the criteria that consumers apply to evaluate packaging and reveal how packaging relates to consumers’ overall brand associations.

Through a sequential exploratory mixed methods design, the authors explore brand packaging of chocolate bars as emotionally laden, well-known fast-moving consumer goods. First, the authors conduct a qualitative focus group study to explore how consumers perceive package design, and how it relates to their brand impressions. Second, the authors test the constructs and attributes with an independent sample through a quantitative survey.

The qualitative findings reveal the different roles of packaging and highlight how packaging provides value for consumer experiences not only at the point-of-sale but also during later consumption. More specifically, the authors identify 12 main criteria that consumers use to evaluate packaging. The authors unwrap how packaging is embedded in consumers’ brand image networks by mapping out its connections to other brand associations pertaining to product attributes, the brand itself and personality impressions. The quantitative findings confirm the importance of practical and symbolic packaging criteria and the brand image comparisons.

Taking a consumer’s perspective, this study contributes to a more holistic understanding of how packaging supports brand building as we reveal the various ways in which packaging relates to consumers’ overall brand image associations. This study further directs attention to the roles that consumers themselves assign to packaging and how they evaluate packaging based on its practical, symbolic and social value.

The purpose of this paper is to investigate to what extend an automated, algorithm-based analysis of online conversations of stakeholders in social media and other Internet media can be used for reputation management.

Examination of the reputation of the 5,000 companies with the largest number of employees in Germany based on communication with these companies in 350m online sources on the German-speaking Internet within one year. The method is grounded on an adapted reputation model based on Fombrun.

The central result of the study is the identification of the ideal balance between the different dimensions leading to the best overall reputation. The resulting correlation matrix with the respective correlation coefficients (according to Pearson) thus forms the basis for the optimal reputation architecture.

The discovered “optimal reputation architecture” refers to a German context. Future studies should investigate in how far the adapted model and the “optimal reputation architecture” also work for other cultures. It can be assumed that there may be differences as different dimensions, for example, sustainability, may have a different importance in other cultural contexts. Apart from the question if the “optimal reputation architecture” is also valid for other cultural contexts, the concept has to be validated for German companies as well as it is just based on the two described studies.

The method used shows that social listening can deliver valuable results for research in the field of reputation management as it expands the possibilities to investigate reputation on a large scale. The approach shows in how far scientific research can be expanded beyond classic content analysis as the number of items which can be analysed exceeds that of classic analytical approaches by far. Explicit and implicit experiences, which are the drivers of reputation, can be systematically recorded and analysed using social listening, thus delivering valuable insights in how stakeholders perceive the performance of a company in different dimensions.

Measuring the reputation on the basis of social listening is very important for practical applications in companies, because the data is available digitally and can deliver up-to-date reputation values almost in real time – so that the communication can be aligned very quickly with current events. This makes it easier to implement and control the interaction between companies and their environment in the digital space.

The classic approach in reputation management is traditional market research. It is relatively expensive and takes a relatively long time to produce results. Reputation management based on social listening digitises reputation measurement, lowers costs and delivers results in a very timely manner. It might be the future of reputation measurement. This is relevant not only for practical purposes but also for scientific approaches.

This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies.

This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.

This briefing considers how big data can be used to monitor and improve the reputation of organizations, but crucially, whether big data should ever be used.

The briefing saves busy executives, strategists and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.