Results 41 to 50 of about 1,523,124 (234)
Business Strategy and the Environment, EarlyView.ABSTRACT The transition to a circular economy requires firms to mobilize organizational capabilities that redesign how value is created, delivered, and captured. Although Circular Business Model Innovation (CBMI) has emerged as the central operational mechanism for circular transformation, the capability stack that triggers CBMI and the ...
Haowen Li +4 more
wiley +1 more source
Environmental, Social, and Governance Information Disclosure: Who Discloses Wins?
Business Strategy and the Environment, EarlyView.ABSTRACT As Environmental, Social, and Governance (ESG) Information Disclosure (ESG‐ID) transitions from voluntary to mandatory disclosure, its drivers and impacts have become focal points of discussion. Existing research, however, lacks integration, which, in turn, has led to fragmented theoretical and practical insights.
Siqi Wang +3 more
wiley +1 more source
Mitigating Chatbot Service Failures: The Roles of Anthropomorphism, Acknowledgment, and Apology
Journal of Consumer Behaviour, EarlyView.ABSTRACT This study examines how chatbot anthropomorphism shapes consumer responses to service failure by distinguishing between process failure and outcome failure and by testing alternative recovery responses. Across three pretests (N = 30, 120 and 240) and two scenario‐based experiments (Study 1: N = 346; Study 2: N = 778), consumers evaluated ...
Juyon Lee, Wujin Chu, Rajat Roy
wiley +1 more source
Customer churn prediction for web browsers [PDF]
, 2022 In the competitive web browser market, identifying potential churners is critical to decreasing the loss of existing customers. Churn prediction based on customer behaviors plays a vital role in customer retention strategies.
González-Crespo, Rubén +11 more
core +1 more source
Clinical Pharmacology &Therapeutics, EarlyView.Real‐world evidence (RWE) derived from real‐world data (RWD) can complement randomized controlled trials (RCTs), yet the validity of RWD relative to RCT data remains insufficiently characterized. We obtained post hoc consent and linked individual participant data from the US‐based INVESTED trial (2016–2019) with Medicare fee‐for‐service claims (2012 ...
Hanseul Cho +12 more
wiley +1 more source
Jurnal Informatika, 2008 The purpose of this research is to design a customer churn prediction system using data mining approach. This system is able to perform data integration, data cleaning, data transformation, sampling and data splitting, prediction model building ...
Rajesri Govindaraju +2 more
doaj
Explaining customer churn prediction in telecom industry using tabular machine learning models
Machine Learning with ApplicationsThe study addresses customer churn, a major issue in service-oriented sectors like telecommunications, where it refers to the discontinuation of subscriptions.
Sumana Sharma Poudel +2 more
doaj +1 more source
Discrete Dynamics in Nature and Society, 2021 Customer churn will cause the value flowing from customers to enterprises to decrease. If customer churn continues to occur, the enterprise will gradually lose its competitive advantage.
Ming Zhao +4 more
doaj +1 more source
Psychology &Marketing, EarlyView.ABSTRACT Digital marketplaces sell connection, yet loneliness persists among their users. Marketing scholarship has largely examined loneliness as a consumer‐level deficit, studying how individuals compensate through consumption. How digital environments themselves structure the conditions under which loneliness is experienced has received less ...
Tianhao Yang +2 more
wiley +1 more source
, 2023 Customer churn has become a big problem for telecommunication companies. Preventive efforts are needed by predicting the value of churn in the future. This study uses data mining techniques with decision tree algorithms to predict customer churn in one
Muid, Abdul +3 more
core +1 more source