Social influence research in consumer behavior: What we learned and what we need to learn?–A hybrid systematic literature review
Social influence plays a significant role in sha** consumer behavior, and research in this
area comprises a substantial portion of the literature. Despite the vast number of studies …
area comprises a substantial portion of the literature. Despite the vast number of studies …
[HTML][HTML] The effect of social networks structure on innovation performance: A review and directions for research
Research on growth of innovations introduced to the market has gradually shifted its focus
from aggregate-level diffusion to exploring how growth is influenced by a given social …
from aggregate-level diffusion to exploring how growth is influenced by a given social …
A causal test of the strength of weak ties
The authors analyzed data from multiple large-scale randomized experiments on LinkedIn's
People You May Know algorithm, which recommends new connections to LinkedIn …
People You May Know algorithm, which recommends new connections to LinkedIn …
Finding goldilocks influencers: How follower count drives social media engagement
Influencers' follower count, or indegree, is a key criterion that advertisers use when devising
influencer marketing campaigns. However, whether influencers with lower or higher follower …
influencer marketing campaigns. However, whether influencers with lower or higher follower …
Social media marketing strategy: definition, conceptualization, taxonomy, validation, and future agenda
Although social media use is gaining increasing importance as a component of firms'
portfolio of strategies, scant research has systematically consolidated and extended …
portfolio of strategies, scant research has systematically consolidated and extended …
Revenue generation through influencer marketing
Direct-to-consumer firms increasingly believe that influencer marketing is an effective option
for seeding. However, the current managerially relevant question for direct-to-consumer …
for seeding. However, the current managerially relevant question for direct-to-consumer …
Big data analytics in operations management
Big data analytics is critical in modern operations management (OM). In this study, we first
explore the existing big data‐related analytics techniques, and identify their strengths …
explore the existing big data‐related analytics techniques, and identify their strengths …
The effects of visual congruence on increasing consumers' brand engagement: An empirical investigation of influencer marketing on Instagram using deep-learning …
Influencers are non-celebrity individuals who gain popularity on social media by posting
visually attractive content (eg, photos and videos) and by interacting with other users (ie …
visually attractive content (eg, photos and videos) and by interacting with other users (ie …
The platformization of brands
JRK Wichmann, N Wiegand… - Journal of …, 2022 - journals.sagepub.com
Digital platforms that aggregate products and services, such as Google Shop** or
Amazon, have emerged as powerful intermediaries to brand offerings, challenging …
Amazon, have emerged as powerful intermediaries to brand offerings, challenging …
[KNJIGA][B] Targeted learning in data science
MJ Van der Laan, S Rose - 2018 - Springer
This book builds on and is a sequel to our book Targeted Learning: Causal Inference for
Observational and Experimental Studies (2011). Since the publication of this first book on …
Observational and Experimental Studies (2011). Since the publication of this first book on …