Search results for "sampling"
showing 8 items of 788 documents
Circular economy and agritourism: a sustainable behavioral model for tourists and farmers in the post-COVID era.
2023
Introduction: In recent years, issues related to environmental and ecosystem protection have been given greater consideration than in the past. The goal of adopting sustainable development models is vigorously pursued in the European Union and is reflected concretely in the new Common Agricultural Policy 20232027. The circular economy can certainly be an emerging economic response that can eectively replace growth models centered on a linear view. Agriculture and tourism are two crucial sectors where the “green transition” should be encouraged to help achieve sustainability goals through economic circularity. Agritourism’s activity may be relevant in contributing to a behavioral change based…
Arm Space Decomposition as a Strategy for Tackling Large Scale Multi-armed Bandit Problems
2013
Recent multi-armed bandit based optimization schemes provide near-optimal balancing of arm exploration against arm exploitation, allowing the optimal arm to be identified with probability arbitrarily close to unity. However, the convergence speed drops dramatically as the number of bandit arms grows large, simply because singling out the optimal arm requires experimentation with all of the available arms. Furthermore, effective exploration and exploitation typically demands computational resources that grow linearly with the number of arms. Although the former problem can be remedied to some degree when prior knowledge about arm correlation is available, the latter problem persists. In this…
Measuring Distraction at the Levels of Tactical and Strategic Control: The Limits of Capacity-Based Measures for Revealing Unsafe Visual Sampling Mod…
2011
The control theory of driving suggests that driver distraction can be analyzed as a breakdown of control at three levels. Common approach for analyzing distraction experimentally is to utilize capacity-based measures to assess distraction at the level of operational control. Three driving simulation experiments with 61 participants were organized to evaluate which kind of measures could be used to analyze drivers' tactical visual sampling models and the related effects of distraction while searching textual information on in-car display. The effects of two different text types were evaluated. The utilized capacity-based measures seemed to be insufficient for revealing participants' tactical…
Sensitivity of bipartite network analyses to incomplete sampling and taxonomic uncertainty
2023
Bipartite network analysis is a powerful tool to study the processes structuring interactions in ecological communities. In applying the method, it is assumed that the sampled interactions provide an accurate representation of the actual community. However, acquiring a representative sample may be difficult as not all species are equally abundant or easily identifiable. Two potential sampling issues can compromise the conclusions of bipartite network analyses: failure to capture the full range of interactions (sampling completeness) and use of a taxonomic level higher than species to evaluate the network (taxonomic resolution). We asked how commonly used descriptors of bipartite antagonisti…
Identifying Critical Determinants of ‘Digital Customer Services’ Usage – An Exploratory Study
2019
Digital technology has reinvented retail business as well as commerce. This study aims to examine consumers’ perception and usage of digital customer services (DCS) and investigate three significant post-adoption and marketing consequences: simplicity, awareness, and usefulness. Using a purposeful sampling technique, 10 semi-structured, in-depth interviews were conducted with banking customers in Finland in January 2019. The research findings suggest that simplicity regarding DCS occupies a key position in their prolonged use, while awareness and usability are also important. This study offers some valuable theoretical and managerial implications and suggests an agenda for future research. …