Results 81 to 90 of about 22,947 (200)

Speaking up, falling silent: Voice, silence and the emergence of toxic organizational culture in a technology company

Journal of Occupational and Organizational Psychology, Volume 99, Issue 1, March 2026.
Abstract Research shows that employee voice and silence are critical to organizational functioning. However, their role in the emergence and persistence of toxic organizational cultures remains under‐theorized, particularly where gender and occupational roles intersect. Drawing on a 6‐year qualitative study of a newly established technology company, we
Katja Einola, Riitta Hekkala, Emma Nordbäck   +2 more
wiley   +1 more source

Prediction of Customer Behavior Changing via a Hybrid Approach

IEEE Open Journal of the Computer Society
This study proposes a hybrid approach to predict customer churn by combining statistic approaches and machine learning models. Unlike traditional methods, where churn is defined by a fixed period of time, the proposed algorithm uses the probability of ...
Nien-Ting Lee, Hau-Chen Lee, Joseph Hsin, Shih-Hau Fang   +3 more
doaj   +1 more source

Location‐Based Accessibility and Innovation Performance

Journal of Regional Science, Volume 66, Issue 2, Page 376-398, March 2026.
ABSTRACT While the importance of local characteristics for innovation activities has been studied extensively, it remains largely unknown to which extent better transport‐based accessibilities facilitate innovation. This study builds on data from a Germany‐wide agent‐based transport model to derive local accessibilities for different modes of transport
Linda Bandelow, Hanna Hottenrott
wiley   +1 more source

A Comprehensive Evaluation of Machine Learning and Deep Learning Models for Churn Prediction

Information
Churn prediction has become one of the core concepts in customer relationship management within the insurances, telecom, and internet service provider industries, which is essential in customer retention.
Nabil M. AbdelAziz, Mostafa Bekheet, Ahmad Salah, Nissreen El-Saber, Wafaa T. AbdelMoneim   +4 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  

Data-driven approaches to predicting customer churn in a non-contractual car-sharing company

Transportation Research Interdisciplinary Perspectives
Customer churn is a commonly found problem in most businesses. Yet, it is not well studied in sharing economy businesses, due largely to difficulty in observing customer attrition across different customer segments.
Pawaris Wachwanakijkul, Supawit Junsiritrakhoon, Nantachai Kantanantha, Gopalakrishnan Narayanamurthy, Pisit Jarumaneeroj   +4 more
doaj   +1 more source

A Data Mining Process Framework for Churn Management in Mobile Telecommunication Industry [PDF]

, 2009
Churning which is a sudden defection of a subscriber to competitors is a disturbing problem in the global telecommunication industry. However, the effectiveness of existing churn control strategies can be improved if an integrated approach that ...
Daramola, Olawande, Musa, G. A., Oladipupo, O. O.   +2 more
core  

ChurnKB: A Generative AI-Enriched Knowledge Base for Customer Churn Feature Engineering

Algorithms
Customers are the cornerstone of business success across industries. Companies invest significant resources in acquiring new customers and, more importantly, retaining existing ones.
Maryam Shahabikargar, Amin Beheshti, Wathiq Mansoor, Xuyun Zhang, Eu Jin Foo, Alireza Jolfaei, Ambreen Hanif, Nasrin Shabani   +7 more
doaj   +1 more source

Customers Suffer From Employee Churn: High Turnover Makes It Harder to Provide Top Service [PDF]

, 2009
Key Findings: • As rates of voluntary turnover climb within key business units, customers are more likely to report bad customer service. • When new workers arrive, established workers have to take time away from customer service to train the
Center for Advanced Human Resource Studies, ILR School, Cornell University.
core   +1 more source

DEPAS: A Decentralized Probabilistic Algorithm for Auto-Scaling

, 2012
The dynamic provisioning of virtualized resources offered by cloud computing infrastructures allows applications deployed in a cloud environment to automatically increase and decrease the amount of used resources.
Calcavecchia, Nicolo M., Caprarescu, Bogdan Alexandru, Di Nitto, Elisabetta, Dubois, Daniel J., Petcu, Dana   +4 more
core   +1 more source