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Sausages from three major retail outlets producing their own label pork and reduced fat sausages were sampled over a period of four weeks. A branded product was also purchased from the stores. A trained sensory panel evaluated the sausages and found that, although the overall acceptability differed between retailers, one of the low fat products matched the equivalent standard product in terms of acceptability. The overall acceptability of the branded product was within the range of the own label standard products but below the most acceptable low fat product. It was concluded that, whilst the successful production of low fat sausages is possible, a wider range would be encouraged by the adoption of modified compositional standards.

Status constitutes a core research concept across the social sciences. However, its definition is still contested, and questions persist about its consequences. We begin with a flexible, provisional definition: status is a relational asset possessed by social actors insofar as they are highly regarded by highly regarded others. Using this definition as a backdrop, we develop a fourfold typology based on how status is used as an asset and from where it is derived. The typology allows us to explore the implications of considering status as either a quality signal or a good and of viewing status-conferring ties as either deference-based or dominance-based. We then consider the implications of our framework for the generation of novelty. Although status has been connected to many social and economic outcomes, because of competing predictions in the literature – the generation of novelty has been linked to all regions of the status distribution – we sketch intuitions for future research on the status–novelty linkage. We also work toward greater conceptual clarity by comparing and contrasting status with selected related concepts: quality, reputation, and legitimacy. We conclude with considerations for future research, including cautionary remarks regarding network-analytic measurement in light of the definition we propose.

The purpose of this paper is to investigate the process by which social media news use leads individuals to engage in attempted political persuasion, examining the mediating roles of cognitive elaboration, political knowledge, political efficacy and political interest.

The study relies on a nationally representative two-wave online survey collected before the 2016 US Presidential Election. Serial mediation is tested using the PROCESS macro.

The study finds significant indirect effects of social media news use on political persuasion via cognitive elaboration, political knowledge, political efficacy and political interest.

Causal inferences should be made with caution. While the measurement of cognitive elaboration is based on prior literature, it is a complex mental process that could be measured more directly in future research.

The findings imply that social media news use contributes to a potentially discursive environment in which cross-cutting views may drive argumentation. Thus, the study sheds light on how social media contribute to persuasive political conversation.

The study applies the O-S-R-O-R model to political persuasion and highlights the processes of reflection, understanding and elaboration that convert news use into attempted persuasion.

The authors contribute to the literature on leadership by investigating how characteristics of principal investigators (PIs) affect innovation performance, and how collaborative and non-collaborative projects moderate this relationship within the context of inter-organisational research projects.

The authors analysed panel data from the National Science and Technology Information Service on 171 research projects within a biomedical and regenerative medicines programme overseen by the Korea Health Industry Development Institute. The authors used a hierarchical regression model, based on the ordinary least squares method, to examine the relationship between PI characteristics and performance, considering both quantity and quality.

The results show that the characteristics of PIs have diverse effects on the quantity and quality of innovation performance. Gender diversity within PIs negatively affects the quality of innovation performance, while the capacity of PIs positively influences it. Moreover, the degree of PI’s engagement is positively associated with the quantity of innovation performance but does not have a significant relationship with the quality of performance. In terms of moderating effects, collaborative projects with multiple leaders seem less reliant on PI capacity than non-collaborative projects led by a single leader, in terms of innovation performance.

The results contribute significantly to the literature on innovation management by examining the role of leadership in collaborative environments to enhance innovation performance, addressing the need for empirical evidence in this area. Analyses of PI characteristics in government R&D management can lead to improved team performance, more efficient processes and effective resource allocation, ultimately fostering innovation.

Revolutionary changes are happening in retail, and the term “retail apocalypse” reflects these dramatic changes. As a growing number of traditional brick-and-motor retailers are closing, the aim of this study is to understand and test the dimensions of specific store and consumer factors that are driving this shift towards non-traditional retail marketplaces (e.g. pop-up stores, fashion trucks), factors that drive consumer loyalty (i.e. re-patronage intentions) and the mediating role of shopping enjoyment in this context.

This study used a consumer panel (n = 237) of previous shoppers of non-traditional retailers. Utilising exploratory factor analysis (EFA) and confirmatory factor analysis (CFA), this study identifies possible store and consumer factors that are associated with consumers' patronage of non-traditional retailers. Based on results, we propose a model for non-traditional retail shopping behaviour.

EFA revealed that quality of personal experience and consumer curiosity were dominant factors explaining variance. Key findings revealed that in-store factors (in-store ambiance, quality and value of products) and consumer factors (consumer curiosity, quality consciousness) influence consumers' re-patronage intentions. This highlights the importance of maintaining quality elements in shopping experiences. Shopping enjoyment was found to mediate relationships, indicating that while not all factors directly impact loyalty, it can be enhanced through pleasurable shopping experiences.

Our findings help retailers understand which factors are driving this dramatic change in consumer behaviour so they may develop better strategies to attract and retain customers. Retailers need to highlight product quality and in-store atmosphere and spark consumers' quality consciousness and curiosity to enhance consumer loyalty.

Despite the rise in popularity, this is the first study to investigate non-traditional retailers comprehensively.

We initiated a conversation between two prominent scholars in the field of employee mobility who come from different disciplinary backgrounds: Rajshree Agarwal (from the human capital research tradition) and Matthew Bidwell (from the human resource management research tradition). Their cumulative work leads to vastly different conclusions. In this chapter we had an opportunity to explore their differences and share the roots of their motivations, interests, and research philosophies. The discussion provides diverging, yet insightful, directions for future research.

This chapter reviews the methods available to hospitality and tourism researchers to perform moderation analysis with continuous variables in partial least squares structural equation modeling (PLS-SEM), with the objective of enhancing understanding and encouraging the use of these techniques in future papers. The product term method is presented first, followed by an empirical example/application in the context of hospitality and tourism. Two extensions, namely the two-stage approach that can help cope with formative and higher-order constructs, and the orthogonalizing approach that can help generate more accurate results and overcome multicollinearity among tourism variables in the presence of a continuous moderator variable, are then presented and discussed. The chapter concludes by presenting guidelines and recommendations for improving the use of interaction effects in analyses of tourism variables, as well as highlighting ongoing developments in both the product term method and PLS-SEM software.