[HTML][HTML] Using data sciences in digital marketing: Framework, methods, and performance metrics

JR Saura - Journal of Innovation & Knowledge, 2021 - Elsevier
In the last decade, the use of Data Sciences, which facilitate decision-making and extraction
of actionable insights and knowledge from large datasets in the digital marketing …

The role of influencers in the consumer decision-making process

S Zak, M Hasprova - SHS web of conferences, 2020 - shs-conferences.org
In the contemporary globalised markets opinion leaders play a vital role in the process of the
purchasing decision-making of consumers. Thanks to their individual skills, specific …

Customer review or influencer endorsement: which one influences purchase intention more?

D Dwidienawati, D Tjahjana, SB Abdinagoro… - Heliyon, 2020 - cell.com
E-commerce has grown steadily since internet access became more available in the mid-
1990s. Informativeness plays a key role in online shopping decisions. Potential customers …

Discordant storytelling,'honest fakery', identity peddling: How uncanny CGI characters are jamming public relations and influencer practices

E Block, R Lovegrove - Public Relations Inquiry, 2021 - journals.sagepub.com
This article critically explores whether and how computer-generated imagery (CGI)
characters are jamming public relations and influencer practices. We use Miquela, a virtual …

Influence maximization: Seeding based on community structure

J Guo, W Wu - ACM Transactions on Knowledge Discovery from Data …, 2020 - dl.acm.org
Influence maximization problem attempts to find a small subset of nodes in a social network
that makes the expected influence maximized, which has been researched intensively …

Benefits of artificial intelligence and machine learning in marketing

V Mitić - Sinteza 2019-International scientific …, 2019 - portal.sinteza.singidunum.ac.rs
Artificial intelligence (AI) impacts numerous aspects of life in the form of smart devices and
smart applications, designed to understand consumer behaviour, needs, and preferences in …

Influencer marketing research: a systematic literature review to identify influencer marketing threats

SM Alipour, M Ghaffari, H Zare - Management Review Quarterly, 2024 - Springer
This study aims to identify and classify the influencer marketing threats mentioned overtly or
implicitly in previous studies on brand use and future research. In this study, a systematic …

Multi-task learning for influence estimation and maximization

G Panagopoulos, FD Malliaros… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
We address the problem of influence maximization when the social network is accompanied
by diffusion cascades. In the literature, such information is used to compute influence …

[Retracted] Research on the Effect of Online Marketing Based on Multimodel Fusion and Artificial Intelligence in the Context of Big Data

H Zhao, F Lyu, Y Luo - Security and Communication Networks, 2022 - Wiley Online Library
Traditional online marketing methods use a single model to predict the advertising
conversion rate, but the prediction results are not accurate, and users are not satisfied with …

Causal influences over social learning networks

M Kayaalp, AH Sayed - arXiv preprint arXiv:2307.09575, 2023 - arxiv.org
This paper investigates causal influences between agents linked by a social graph and
interacting over time. In particular, the work examines the dynamics of social learning …