Influence of the North Atlantic Oscillation on Grass Pollen Counts in Europe

Relationships between temporal variations in the North Atlantic Oscillation (NAO) and grass pollen counts at 13 sites in Europe, ranging from Córdoba in the South-West and Turku in the North-East, were studied in order to determine spatial differences in the amount of influence exerted by the NAO on the timing and magnitude of grass pollen seasons. There were a number of significant (p<0.05) relationships between the NAO and start dates of the grass pollen season at the 13 pollen-monitoring sites. The strongest associations were generally recorded near to the Atlantic coast. Several significant correlations also existed between winter averages of the NAO and grass pollen season severity. Traditional methods for predicting the start or magnitude of grass pollen seasons have centred on the use of local meteorological observations, but this study has shown the importance of considering large-scale patterns of climate variability like the NAO.

Receptivity to Self-Service Technology (SST): A Research Overview and the Way Forward

In a digital era characterised by the need for efficiency and value, self-service technology rises as a delivery interface offered by public and private sector service providers. With the assumption of a win-win situation for both the provider and customers who can ‘do it themselves’ online/offsite and offline/onsite, stereotypes arise concerning antecedents for positive receptivity and impediments in adopting SSTs. The present paper offers a literature-based discussion of some of the existing and emerging perspectives in this domain; it delivers a contextual review of studies conducted, highlights controversial viewpoints that need to be reconsidered, and suggests future research themes that can make use of the emergent digital sources in data collection and analysis. The purpose is to spark future research on the extent to which SST is a champion for different service types, and to systematically study the customer profile to be targeted for its optimal use in value co-creation.