ABSTRACT Sustainability labels can help support consumers select more socially and environmentally friendly options, thereby enhancing returns for conscientious producers and promoting the transition to a more sustainable food system. However, consumer confusion regarding labels' meaning undermines their effectiveness.
Monika Hartmann +4 more
wiley +1 more source
Mobile Apps and Websites With Breastfeeding-Related Content in Germany: Cross-Sectional and Evaluation Study. [PDF]
Ziebart M +3 more
europepmc +1 more source
Consumer Preferences for Craft Beer: The Interplay of Localness and Advertising Language
ABSTRACT This study explores the influence of the language of the label, origin of production, and origin of brewing ingredients on Croatian consumers' preferences and willingness to pay for organic craft beer. Employing an online survey and a choice experiment among 223 Croatian alcohol consumers, we find that while there's a willingness to pay a ...
Marija Cerjak +2 more
wiley +1 more source
Does a Specialized Niche Market Vegetable Processor Enjoy Bargaining Power?
ABSTRACT Agribusiness companies may achieve competitive advantage through specialization within niche markets. One such niche is the fresh‐cut fruit and vegetable market, which has been steadily growing in Germany. This study examines whether the specialization of a German fresh‐cut producer grants it with market power within this niche market.
Nikolas Bublik +3 more
wiley +1 more source
Transmission lowers US generation costs, but generator incentives are not aligned. [PDF]
Ham D, Kay O, Hausman C.
europepmc +1 more source
Insights into the gaps and requirements of long-term care in Iran: a qualitative content analysis approach. [PDF]
Ghasemyani S +4 more
europepmc +1 more source
Qualitative insights into career perception of female community pharmacists in Saudi Arabia. [PDF]
Aloola NA +15 more
europepmc +1 more source
Preparing autistic workers in work adjustment: Employer and employee perspective analysis. [PDF]
Elfina ML.
europepmc +1 more source
Machine learning-inspired similarity measure to forecast M&A from patent data. [PDF]
Albora G, Straccamore M, Zaccaria A.
europepmc +1 more source

