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This study aims to focus on consumers’ preferences towards rosé wine and explore whether and how the consumption context may influence consumers’ choices.

Using social networks platform, the authors conducted a choice experiment, to evaluate Italian consumers’ preferences for a glass of rosé in two consumption contexts, restaurant and wine bar. Characteristics of the rosé wine also included price, origin and type of wine. The authors applied a latent class analysis to define rosé wine consumers’ segments and incorporated personality traits in the model.

The results define three rosé wine drinkers’ profiles: “Wine bar visitors”, “The unenthusiastic” and “Restaurant visitors”. Socio-demographic characteristics and personality traits significantly affect consumers’ membership to the different segments. Who prefers to drink a rosé glass at the wine bar is younger, more opened to new experiences and, therefore, more inclined towards more sophisticated choices. Consumers at the restaurants tend to be more extrovert and sensitive to price.

This study offers insight for practitioners of both wine and hospitality industries in the development of strategies for new products market placement and, at the same time, for academics who are interested in the understanding of behavioural reasoning of consumers’ wine purchase choices.

This research investigates the effect of consumption context on individuals’ preference formation for a less familiar wine, such as rosé in Italy. To the authors’ knowledge, no previous studies explored how personality traits may affect consumers’ wine consumption context choices.

This study proposes a literature review and, based on the findings, the authors develop a conceptual framework, attempting to explain how technology may influence visitor behavior and eventually trade show performance.

The present research explores the role of visitors in the trade show context. The analysis specifically focuses on the variables that influence visitors’ participation at business-to-business trade shows and how their satisfaction and perception can be related to exhibition performance. The authors also take into consideration technological trends that prior to COVID-19 pandemics were slowly emerging in the trade show industry.

The findings highlight a continuity between pre-, at and postexhibition phases. Visitors’ behavior represents a signal of how a trade show is perceived as postexhibition purchases and next visit emerge as signals of an exhibition evaluation in relation to visitors’ perception. Besides being urgent tools for the continuity of the sector due to the pandemics, emerging technological trends can be key elements in understanding visitors’ behavior and in boosting their interest and loyalty toward trade shows.

The paper proposes a conceptual model including top notch and innovative technological trends to improve the understandment of visitors’ behavior. Both practitioners in companies and academics might find the study useful, given the digital uplift generated by the pandemics.

The research presented in this paper aims at giving a forecasting scenario of the fresh tomato industry in Italy and in Germany, through the analysis of the different drivers which influence the trends of the fresh tomato market.

The Delphi method was applied in order to obtain judgments of different experts regarding the driving forces of the fresh tomato industry in Italy and in Germany. A total of 14 experts of the fresh vegetables market participated in a three‐rounds survey; a qualitative analysis of experts' judgments drew to a possible future of the fresh tomato industry.

From the results it is possible to conclude that the service in the offer of the products will mostly influence the trend of the fresh tomato industry; this includes marketing, communication, quality certifications, special packaging (as ready to eat products). Furthermore variety selection and typicality of the product will play, as well, a fundamental role in the market trend of the fresh tomato.

The research is based on a small sample of experts, using a qualitative approach. Therefore these findings may strongly depend on the choice of the subjects.

The results may offer useful suggestions to managers and practitioners on the most promising strategies for the future.

On the methodological side, this study represents a useful contribution to qualitative food research, since the Delphi method approach was rarely used in the past. In addition, it has not been previously used in forecasting a possible scenario in the fresh vegetables industry.

The technological revolution in the service sector is radically changing the ways in which and with whom consumers co-create value. This conceptual paper considers social robots in elderly care services and outlines ways in which their human-like affect and cognition influence users’ social perceptions and anticipations of robots’ value co-creation or co-destruction potential. A future research agenda offers relevant, conceptually robust directions for stimulating the advancement of knowledge and understanding in this nascent field.

Drawing from service, robotics and social cognition research, this paper develops a conceptual understanding of the value co-creation/destruction potential of social robots in services.

Three theoretical propositions construct an iterative framework of users’ evaluations of social robots in services. First, social robots offer users value propositions leveraging affective and cognitive resources. Second, users’ personal values become salient through interactions with social robots’ affective and cognitive resources. Third, users evaluate social robots’ value co-creation/destruction potential according to social cognition dimensions.

Social robots in services are an emerging topic in service research and hold promising implications for organizations and users. This relevant, conceptually robust framework advances scholarly understanding of their opportunities and pitfalls for realizing value. This study also identifies guidelines for service managers for designing and introducing social robots into complex service environments.