Search results for " Sampling"
showing 5 items of 375 documents
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. …