Results 131 to 140 of about 24,487 (307)

Pengaruh Influencer Media Sosial Instagram terhadap Niat Beli Konsumen Produk Scarlett yang Dimediasi oleh Kredibilitas [PDF]

open access: yes
This study aims to explore the influence of Instagram social media influencers on consumer purchase intentions of Scarlett products, with influencer credibility as a mediating variable. A quantitative approach with descriptive and causal methods was used
Sabella, Ressa Yolanda   +1 more
core   +2 more sources

Influence of the Influencer: Decoding the Credibility of Influencers Among College Students.

open access: yesInternational Journal of Undergraduate Research and Creative Activities
As the first “digitally native” cohort, Gen Z's upbringing amidst rapid technological advancements has shaped their attitudes, preferences, and decision-making processes in unprecedented ways. In 2023, e-commerce sales accounted for 20 percent of total sales in financial markets.
openaire   +2 more sources

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

The Influence of YouTube and Instagram Influencers on Consumers’ Purchase Intention of Eiger Products

open access: yesIndonesian Interdisciplinary Journal of Sharia Economics
Influencers are an important element in digital marketing because they are able to introduce products while shaping perceptions that influence purchasing decisions.
Muhamad Fatan Achsin Syanana   +1 more
doaj  

I'll Buy What You Post! : The Impact of Social Media Influencer on Consumer Purchase Intention

open access: yesAlmana: Jurnal Manajemen dan Bisnis
This study explores the influence of social media influencers on consumer purchase intention, with a particular emphasis on Erigo Fashion Company.
Giaza Ananda Barokah, Lizar Alfansi
doaj   +1 more source

opXRD: Open Experimental Powder X‐Ray Diffraction Database

open access: yesAdvanced Intelligent Discovery, EarlyView.
We introduce the Open Experimental Powder X‐ray Diffraction Database, the largest openly accessible collection of experimental powder diffractograms, comprising over 92,000 patterns collected across diverse material classes and experimental setups. Our ongoing effort aims to guide machine learning research toward fully automated analysis of pXRD data ...
Daniel Hollarek   +23 more
wiley   +1 more source

Does Follower Size Matter? Diversity of Sources and Credibility Assessment Among Social Media Influencers

open access: yesInformation
This study investigates how follower size influences social media influencers’ sourcing behavior and credibility assessment rigor when producing content for their audiences.
Halima Lul Ali   +2 more
doaj   +1 more source

Artificial Intelligence for Bone: Theory, Methods, and Applications

open access: yesAdvanced Intelligent Discovery, EarlyView.
Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan   +3 more
wiley   +1 more source

The Effects Of Social Media Influencer Attributes On Collaborating Brand Credibility And Advocacy [PDF]

open access: yes, 2019
This thesis investigates different characteristics and dimensions related to social media influencers that might affect some brand outcomes after being endorsed by /collaborating with the influencer in brand communications.
Al-Qatami, Masa Mustafa J M
core  

A Machine Learning Model for Interpretable PECVD Deposition Rate Prediction

open access: yesAdvanced Intelligent Discovery, EarlyView.
This study develops six machine learning models (k‐nearest neighbors, support vector regression, decision tree, random forest, CatBoost, and backpropagation neural network) to predict SiNx deposition rates in plasma‐enhanced chemical vapor deposition using hybrid production and simulation data.
Yuxuan Zhai   +8 more
wiley   +1 more source

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