Zsolt Illyefalvi‐Vitéz, Alfons Vervaet, André Van Calster, Nihal Sinnadurai, Marko Hrovat, Paul Svasta, Endre Tóth, Darko Belavic, Radu Mihai Ionescu and William Dennehy
The opportunity for mutual benefit across Europe to develop low‐cost MCM technologies arose from recognition of the scientific skills and design and prototyping capabilities in…
Abstract
The opportunity for mutual benefit across Europe to develop low‐cost MCM technologies arose from recognition of the scientific skills and design and prototyping capabilities in organic and inorganic circuits in countries of Central Europe. As a result, the leading research institutions and small/medium‐size enterprises of Hungary, Romania and Slovenia together with relevant institutions of the UK and Belgium proposed and received approval for a European Union INCO‐Copernicus project “Cheap multichip models” to establish fast prototyping low cost multichip module (MCM) technology facilities. The project commenced in May 1997.
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Attila Endre Simay, Yuling Wei, Tamás Gyulavári, Jhanghiz Syahrivar, Piotr Gaczek and Ágnes Hofmeister-Tóth
The recent advancements in smartphone technology and social media platforms have increased the popularity of artificial intelligence (AI) color cosmetics. Meanwhile, China is a…
Abstract
Purpose
The recent advancements in smartphone technology and social media platforms have increased the popularity of artificial intelligence (AI) color cosmetics. Meanwhile, China is a lucrative market for various foreign beauty products and technological innovations. This research aims to investigate the adoption of AI color cosmetics applications and their electronic word-of-mouth (e-WOM) intention among Chinese social media influencers. Several key concepts have been proposed in this research, namely body esteem, price sensitivity, social media addiction and actual purchase.
Design/methodology/approach
An online questionnaire design was used in this research. A combination of purposive sampling and snowball sampling of AI color cosmetics users who are also social media influencers in China yields 221 respondents. To analyze the data, this research employs Structural Equation Modelling (SEM) method via SPSS and AMOS software. A 2-step approach, Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA), is implemented to prove the hypotheses and generate the results.
Findings
1) Social media addiction is a positive predictor of AI color cosmetics usage, (2) AI color cosmetics usage is a positive predictor of actual purchase, (3) actual purchase is a positive predictor of e-WOM intention and lastly, (4) there is a full mediation effect of actual purchase.
Originality/value
This research draws on the uses and gratification (U&G) theory to investigate how specific user characteristics affect Chinese social media influencers' adoption of AI color cosmetics, as well as how this may affect their decision to purchase branded color cosmetics and their e-WOM.
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Reviews literature related to several aspects of interlending and document supply. Examines the impact of World Wide Web delivery and the ever‐increasing number of periodicals…
Abstract
Reviews literature related to several aspects of interlending and document supply. Examines the impact of World Wide Web delivery and the ever‐increasing number of periodicals being published electronically. Interlinked with these two factors is the creation of digital libraries. Discusses some of the projects undertaken by higher education institutions to deliver electronic material to researchers and students. Includes articles on various resource sharing activities highlighting the usual access versus ownership issues.