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Hail risk management is essential for successful farm management in German fruit production, particularly because hail events and associated losses have increased in recent years. The purpose of this paper is to conduct a detailed risk analysis comparing different strategies to manage hail risk, taking into account farmers’ risk aversion and farm-specific conditions.

Within an expected utility framework, two different strategies for managing hail risk are compared: one belonging to the group of financial instruments (hail insurance) and the other to the group of technical instruments (anti-hail net). A unique data set comprising a ten-year time series of orchard-specific hail damage and hail insurance data is used.

For orchards with low local hail risk and low yield potential, not using hail risk mitigation is most efficient. For orchards with high local hail risk and high yield potential, anti-hail nets provide the highest certainty equivalents. For orchards with high local risk, but low yield potential, hail insurance is most efficient. For orchards, with low local risk, but high yield potential, the certainty equivalents are higher for anti-hail net, when the farmer is risk neutral or slightly risk-averse. With increasing risk aversion, hail insurance is most efficient, which can be explained by the greater degree of the instrument’s flexibility.

The novelty of the study lies in the direct comparison of the risk effects of anti-hail nets and hail insurance in fruit production.

The purpose of this study is to present an attempt to evaluate Italian olive oil brand competition thought the analysis of consumers’ visual perspective.

Through the implementation of a new information technology system called “Visual Marketing REL”, which furnishes eye-tracking measures, the authors were able to produce important information relative to the layout organization of to the Italian olive oil shelf, a strategic product of the agro-food chain. The research uses the “in situ” testing of the software developed.

The research, following up the thesis of sensorial marketing affecting choices, intends to identify an IT tool to facilitate the design of the shelf by increasing the efficiency of the retail mix. Results highlight that specific positioning could impact the differentiation effect and orientate consumers’ choices, thus increasing the efficiency of the retail mix.

To generalize the results would require many repetitions of different product categories. In this case, it would be possible to quantify the levels of correlation between visual information and sales.

This work opens important considerations in terms of strategic management of modern distribution, leaders and minor brands competitive relationship, as well as opportunities for producers of high-quality products, which could address their strategies to differentiation and niche market in cooperation with retailers.

The research aims to encourage the process of consumer choice and reduce information asymmetries.

The most important result is the connection among choices, visualization, differentiation strategy and positioning/ordering on the shelf. The layout management, in fact, could be used as a joint strategy of retailers as well as producers to emphasize quality and price differentiation, thereby increasing sales. Moreover, the study provides for the first time the outcomes of a brand new software “Visual Marketing REL”, highlighting its limits and positive elements.

Medical research requires biological material and data collected through biobanks in reliable processes with quality assurance. Medical studies based on data with unknown or questionable quality are useless or even dangerous, as evidenced by recent examples of withdrawn studies. Medical data sets consist of highly sensitive personal data, which has to be protected carefully and is available for research only after the approval of ethics committees. The purpose of this research is to propose an architecture to support researchers to efficiently and effectively identify relevant collections of material and data with documented quality for their research projects while observing strict privacy rules.

Following a design science approach, this paper develops a conceptual model for capturing and relating metadata of medical data in biobanks to support medical research.

This study describes the landscape of biobanks as federated medical data lakes such as the collections of samples and their annotations in the European federation of biobanks (Biobanking and Biomolecular Resources Research Infrastructure – European Research Infrastructure Consortium, BBMRI-ERIC) and develops a conceptual model capturing schema information with quality annotation. This paper discusses the quality dimensions for data sets for medical research in-depth and proposes representations of both the metadata and data quality documentation with the aim to support researchers to effectively and efficiently identify suitable data sets for medical studies.

This novel conceptual model for metadata for medical data lakes has a unique focus on the high privacy requirements of the data sets contained in medical data lakes and also stands out in the detailed representation of data quality and metadata quality of medical data sets.