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This article concerns the way bee products are perceived by customers. It is mainly focused on honey, which is considered the main output product of beekeeping. Beekeeping is a very popular activity in the Czech Republic. Based on current data there are over 48 thousand people engaged in beekeeping in the Czech Republic. Hand in hand with the increasing number of beekeepers the popularity of bee products - especially honey - among Czech consumers is also growing. Recently, the consumption of honey in the Czech Republic has been slightly increasing. A big problem today is that honey sold in Czech supermarkets is frequently falsified. At the same time, it is increasingly popular to buy honey directly from beekeepers. The aim of this research was to describe the situation about the honey market in the Czech Republic, and also to examine the relationship between consumers on the one hand, and honey/beekeepers on the other. We have also considered customer's trust in organic honey and honey sold in supermarket chains. Results show that consumers view bee products as generally healthy and prefer to buy bee products from a beekeeper because of greater convenience as locally sourced honey is perceived to be of higher quality. The majority of consumers agree with paying a higher price for a product of higher quality. The article confirmed the hypothesis that most people think that bee products sold by a beekeeper are healthier than those bought at ordinary shops.
EN
Aim/purpose - This pilot study explores the main obstacles hindering the effective implementation of Artificial Intelligence (AI) in small and medium-sized companies (SMEs). By thoroughly understanding these barriers, organizations can develop customized strategies and interventions to overcome them, facilitating smoother and more successful AI adoption. The paper's primary goal is to help organizations understand the barriers to AI adoption to develop tailored strategies and interventions to overcome these challenges, leading to a more efficient and successful integration of AI. Through a rigorous examination of real-world experiences and perceptions, this paper seeks to elucidate the multifaceted challenges that impede the effective deployment of AI solutions. Design/methodology/approach - The study identifies four main impediments to AI implementation based on data from 22 interviews with industry experts in the Czech Republic and Austria. Findings - First, a notable lack of trust emerges as a significant barrier, with stakeholders harboring apprehensions regarding AI's reliability, ethical implications, or potential consequences. Second, the knowledge gap hampers progress, indicating a need for better understanding and expertise in AI technologies and applications. Third, infrastructure limitations, including inadequate computing resources, outdated systems, or insufficient technical support, pose a challenge. Lastly, a shortage of skilled professionals proficient in AI further complicates implementation efforts, highlighting the importance of nurturing talent and expertise. Research implications/limitations - The findings regarding AI implementation strategies are significant for small and medium-sized enterprises. Although the research focuses on Czech and Austrian companies, the findings may apply to other countries. Additionally, it is worth noting that this is qualitative research with a smaller sample size. Originality/value/contribution - By addressing these barriers proactively, organizations can navigate the complexities of AI adoption more effectively and unlock its transformative potential.
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