scispace - formally typeset
J

Jae-Hyeon Ahn

Researcher at KAIST

Publications -  65
Citations -  2231

Jae-Hyeon Ahn is an academic researcher from KAIST. The author has contributed to research in topics: Knowledge value chain & Telecommunications service. The author has an hindex of 21, co-authored 63 publications receiving 1916 citations. Previous affiliations of Jae-Hyeon Ahn include Bell Labs & Saint Petersburg State University.

Papers
More filters
Journal ArticleDOI

Customer churn analysis: Churn determinants and mediation effects of partial defection in the Korean mobile telecommunications service industry

TL;DR: Using customer transaction and billing data, the authors investigates determinants of customer churn in the Korean mobile telecommunications service market, and finds that call quality-related factors influence customer churn; however, customers participating in membership card programs are also more likely to churn.
Journal ArticleDOI

Attention to Banner Ads and Their Effectiveness: An Eye-Tracking Approach

TL;DR: The results suggest that animation in banner ads does not necessarily increase user attention, but that even if a user does not consciously notice a banner ad, the user's attitude toward the brand is influenced.
Journal ArticleDOI

Assessing the contribution of knowledge to business performance: the KP 3 methodology

TL;DR: The KP3 methodology developed in this paper assesses the contribution of knowledge to business performance by employing product and process as intermediaries between the two.
Journal ArticleDOI

Reward systems for intra-organizational knowledge sharing

TL;DR: A formal model and analyze reward systems for intra-organizational knowledge sharing is developed and it is shown that several organizational factors can complement reward systems in increasing the performance of KM and can mitigate the productivity problem.
Journal ArticleDOI

Willingness to provide personal information: Perspective of privacy calculus in IoT services

TL;DR: Examination of factors affecting the willingness to provide privacy information based on the privacy calculus theory in several IoT services; healthcare, smart home and smart transportation indicates that people do not pay much attention to perceived privacy risk when providing privacy information for a better personalized service.