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Purpose: The purpose of this paper is to analyse the association between farm/farmer characteristics and unsubsidized farm insurance premium expenditure in Ireland. The distribution of farm insurance expenditures is wide, and it is important to understand the extent to which individual factors influence demand for different levels of insurance premium. Design/methodology/approach: The quantile regression approach and farm accountancy data from the Teagasc National Farm Survey are used to model the association between farm/farmer characteristics and farm insurance demand in Ireland. Findings: Asset values (livestock, buildings and machinery) are positively associated with total insurance expenditure. Both forestry area and crop area are significantly associated with farm insurance expenditure with a stronger influence on the middle and upper part of the distribution. The interaction between farm income and farmer age is positively associated with insurance expenditure pointing to the importance of farm income protection. Research limitations/implications: The research is mainly concerned with insuring against substantive risks, which are capable of threatening the asset base and continuation of the farm business. Future research can integrate questions in relation to farm safety and farmer health with research on the economic survival of the farm business. Practical implications: Farmers in Ireland adopt unsubsidized farm insurance as a risk management tool. This situation is relevant to other EU member states including Belgium, Denmark, Germany and Sweden. The findings can be used to inform stakeholders and policymakers about the relative impact of different factors on insurance expenditure. Originality/value: Previous research has typically focused on the linear relationship between farm/farmer characteristics and insurance demand without accounting for variability across the size distribution. This research is based on the quantile regression approach where the association between farm/farmer characteristics and farm insurance expenditure can be assessed at different points of the distribution. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this commentary is to reflect on the transformative changes organisations experience, in the form of increased use of emergent information and communication technologies (ICTs), as a significant factor in enabling the continuation of normal business practices during the COVID-19 pandemic, and subsequent key ethical considerations in the use of new technology by organisations. Design/methodology/approach: This commentary adopts a reflective approach and is based on a review of theories on diffusion of innovation, dynamic capabilities and data ethics and governance, as well as up-to-date business reports to reflect on the ethical implications of new technologies for organisations. Findings: Organisations from different industries and sectors around the world have experienced major disruptive changes because of the COVID-19 pandemic. Adoption and integration of new ICTs occurred at an accelerated pace in a collective effort to maintain "business as usual". The use of emergent technologies is not without risks. The commentary argues that, in times of crisis, it is vital that organisations address the growing concerns around privacy and security of personal data by designing effective data governance frameworks that go beyond a mere compliance with existing policies and prevailing data privacy and protection laws to ensure data security and protection for all stakeholders. Originality/value: This commentary is making the case for more considered approaches to data governance and data ethics in business following the unprecedented challenges posed by the recent COVID-19 pandemic and suggests possible ways of moving forward from an ethical perspective. [ABSTRACT FROM AUTHOR]