Search Results - subject:"Predictive analytics"

Enhancing supply chain agility and sustainability through machine learning : optimization techniques for logistics and inventory management

Pasupuleti, Vikram; Thuraka, Bharadwaj; Kodete, Chandra … - In: Logistics 8 (2024) 3, pp. 1-16

Background: In the current global market, supply chains are increasingly complex, necessitating agile and sustainable management strategies. Traditional analytical methods often fall short in addressing these challenges, creating a need for more advanced approaches. Methods: This study leverages...

Persistent link: https://www.econbiz.de/10015081054

Quantum computing for market research

Sáez-Ortuño, Laura; Huertas-Garcia, Ruben; Coll, … - In: Journal of innovation & knowledge : JIK 9 (2024) 3, pp. 1-21

The digital ecosystem continues to expand around the world and is revolutionising the way markets are researched. Indeed, consumer experiences are advertised and disseminated through so many channels and media that it has become a major challenge for researchers and marketing practitioners to...

Persistent link: https://www.econbiz.de/10015074475

A predictive analytics approach for forecasting bike rental demand

Karunanithi, Meerah; Chatasawapreeda, Parin; Khan, Talha Ali - In: Decision analytics journal 11 (2024), pp. 1-14

The demand for rental bikes in urban areas fluctuates, leading to localized surpluses and shortages. To address this challenge, effective bike relocation strategies are essential for ensuring equitable distribution and maximizing customer satisfaction. This study aims to employ advanced machine...

Persistent link: https://www.econbiz.de/10015107934

Unified spatial clustering of territory risk to uncover impact of COVID-19 pandemic on major coverages of auto insurance

Xie, Shengkun; Ho, Nathaniel - In: Risks : open access journal 12 (2024) 7, pp. 1-22

This research delves into the fusion of spatial clustering and predictive modeling within auto insurance data analytics. The primary focus of this research is on addressing challenges stemming from the dynamic nature of spatial patterns in multiple accident year claim data, by using spatially...

Persistent link: https://www.econbiz.de/10014637191

A hybrid machine learning with process analytics for predicting customer experience in online insurance services industry

Akhavan, Fatemeh; Hassannayebi, Erfan - In: Decision analytics journal 11 (2024), pp. 1-16

It is essential to innovate and improve service levels by predicting possible process outcomes due to the growth of online service providers. This study estimates the customer satisfaction level based on customer experience analysis. In doing so, we answer recent calls for research about a more...

Persistent link: https://www.econbiz.de/10015101686

Managing next generation BP-x initiatives

Schaschek, Myriam; Gwinner, Fabian; Neis, Nicolas; … - In: Information systems and e-business management : ISeB 22 (2024) 3, pp. 457-500

Persistent link: https://www.econbiz.de/10015337808

Covid-19 triage in the emergency department 2.0: how analytics and AI transform a human-made algorithm for the prediction of clinical pathways

Bartenschlager, Christina C.; Grieger, Milena; Erber, … - In: Health Care Management Science 26 (2023) 3, pp. 412-429

The Covid-19 pandemic has pushed many hospitals to their capacity limits. Therefore, a triage of patients has been discussed controversially primarily through an ethical perspective. The term triage contains many aspects such as urgency of treatment, severity of the disease and pre-existing...

Persistent link: https://www.econbiz.de/10015191374

Efficacies of artificial neural networks ushering improvement in the prediction of extant credit risk models

Aranha, Meera; Bolar, Kartikeya - In: Cogent Economics & Finance 11 (2023) 1, pp. 1-13

The study's objective is to check whether the predictive power of Machine Learning Techniques is better than Logistic Regression in predicting the bankruptcy of firms and that the same predictive power of ascertaining bankruptcy improves when a proxy for uncertainty is added to the model as a...

Persistent link: https://www.econbiz.de/10015074832

A theory of predictive sales analytics adoption

Habel, Johannes; Alavi, Sascha; Heinitz, Nicolas - In: AMS Review 13 (2023) 1, pp. 34-54

Given the pervasive ubiquity of data, sales practice is moving rapidly into an era of predictive analytics, using …, or churn probabilities. However, many sales organizations face difficulties when implementing predictive analytics … model, we integrate literature on predictive analytics and machine learning, technology adoption, and marketing capabilities …

Persistent link: https://www.econbiz.de/10015165724

Data science and big data analytics: a systematic review of methodologies used in the supply chain and logistics research

Jahani, Hamed; Jain, Richa; Ivanov, Dmitry - In: Annals of Operations Research (2023), pp. 1-58

Data science and big data analytics (DS &BDA) methodologies and tools are used extensively in supply chains and logistics (SC &L). However, the existing insights are scattered over different literature sources and there is a lack of a structured and unbiased review methodology to systematise DS...

Persistent link: https://www.econbiz.de/10015168529