Results 61 to 70 of about 17,450 (209)
Modelling Early User-Game Interactions for Joint Estimation of Survival Time and Churn Probability
, 2019 Data-driven approaches which aim to identify and predict player engagement are becoming increasingly popular in games industry contexts. This is due to the growing practice of tracking and storing large volumes of in-game telemetries coupled with a ...
Bonometti, Valerio +4 more
core +1 more source
A Non-Sequential Representation of Sequential Data for Churn Prediction [PDF]
, 2009 We investigate the length of event sequence giving best predictions when using a continuous HMM approach to churn prediction from sequential data. Motivated by observations that predictions based on only the few most recent events seem to be the most ...
A. Lemmens +8 more
core +1 more source
Bake Sales to Save Nature: Why Wall Street Conservation Survives
Development and Change, EarlyView.ABSTRACT Academics have spent decades analysing the harms and failures of market and finance‐led biodiversity policy. Yet, even though ‘selling nature to save it’ looks less like the promised green capitalism and more like a decades‐long bake sale in that its efforts are small, piecemeal and rely on copious amounts of cheap capital, the approach ...
Jessica Dempsey
wiley +1 more source
European Management Review, EarlyView.ABSTRACT Multi‐sided platform (MSP) models have become more relevant for incumbent companies, requiring them to develop MSP engagement strategies. This study sheds light on the complex process incumbents undergo in developing platform strategies. Adopting an inductive research design, we conducted interviews with 37 decision‐makers across 35 incumbent ...
Lukas Zechel, Vivek K. Velamuri
wiley +1 more source
Bagging and boosting classification trees to predict churn. [PDF]
In this paper, bagging and boosting techniques are proposed as performing tools for churn prediction. These methods consist of sequentially applying a classification algorithm to resampled or reweigthed versions of the data set. We apply these algorithms
Croux, Christophe, Lemmens, Aurélie
core +3 more sources
The Role of Peer Influence in Churn in Wireless Networks
, 2014 Subscriber churn remains a top challenge for wireless carriers. These carriers need to understand the determinants of churn to confidently apply effective retention strategies to ensure their profitability and growth. In this paper, we look at the effect
Ferreira, Pedro, Han, Qiwei
core +1 more source
Local Networks and New Business Formation
Journal of Economics &Management Strategy, EarlyView.ABSTRACT New business formation is a key driver of regional transformation and development. While we know that a region's attractiveness for new businesses depends on its resources, infrastructure, and human capital, we know little about the role of local business networks in promoting or impeding the birth of new firms.
Lena Füner +3 more
wiley +1 more source
Corporate ESG Profiles and Investor Horizons
The Journal of Finance, EarlyView.ABSTRACT We find that long‐term institutional investors tilt their portfolios toward firms with better Environmental, Social, and Governance (ESG) profiles, in the cross sections of both institutional investor portfolios and the ownership of firms. We test whether several theoretically motivated mechanisms can explain this relationship.
LAURA T. STARKS, PARTH VENKAT, QIFEI ZHU
wiley +1 more source
Application of machine learning techniques for churn prediction in the telecom business
Results in EngineeringThe telecom business generates a significant amount of data on a daily basis due to its massive client base. Acquiring a fresh client base is more expensive than retaining existing customers, whereas churn refers to customers transitioning from one ...
Raji Krishna +5 more
doaj +1 more source
Applied business analytics approach to IT projects – Methodological framework [PDF]
, 2017 The design and implementation of a big data project differs from a typical business intelligence project that might be presented concurrently within the same organization. A big data initiative typically triggers a large scale IT project that is expected
Ivanov, Penko, Zlatev, Vladimir
core