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Transformative business strategies and new patterns for value creation. Sinergie-Sima 2018 conference extended abstracts. Proceedings
No full textContent Marketing e Brand Journalism: un'analisi esplorativa sull'uso dei contenuti editoriali per sviluppare la corporate reputation
No full textThe social value of the sharing economy: a classification of innovative models in the food industry
No full textObjectives. The current global scenario is characterized by a huge paradox: from one side there is the scourge of poverty, on the other side, 1.3 billion of food is globally wasted every year. To face these problems, innovative social business models are emerging, especially in the food retail industry such as food banks, social supermarket and recently food sharing models. The main contribution of this paper is to classify the sharing models designed to pursue a social mission in the food industry.
Methodology. A hierarchical cluster analysis based on a sample of 52 food sharing models was carried.
Findings. Three typologies of models have emerged. The sharing for money which is primary a B2B for profit model to reduce waste and at the same time generate revenue, the sharing for charity model where collected food is given to non profit organizations, and the sharing for the community that is a P2P model where food is shared among consumer with the main purpose of reduce waste.
Research limits. The selected sample examined a wide but not exhaustive set of models. Also, the analysis techniques employed require a certain discretion on the part of the researcher.
Practical implications. The identified clusters provide an overall frame of reference for understanding food sharing models and offer a clarification and an overview that facilitates the identification and understanding of each model.
Originality of the study. It is one of the first study that provides a systematization of emerging sharing models in the food industry
The Complexity of Food Waste at Consumption Level: Definitions, Data, Causes and Impacts
No full textGoing Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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