Search Results - subject:"Predictive analytics"

A decision support system for improved resource planning and truck routing at logistic nodes

Hill, Alessandro; Böse, Jürgen W. - In: Information technology and management 18 (2017) 3, pp. 241-251

Persistent link: https://www.econbiz.de/10011756311

Conceptual and Statistical Issues Regarding the Probability of Default and Modeling Default Risk

Emilia ?I?AN; TUDOR, Adela Ioana - In: Database Systems Journal 2 (2011) 1, pp. 13-22

In today’s rapidly evolving financial markets, risk management offers different techniques in order to implement an efficient system against market risk. Probability of default (PD) is an essential part of business intelligence and customer relation management systems in the financial...

Persistent link: https://www.econbiz.de/10010587744

Improving Online Course Performance Through Customization: An Empirical Study Using Business Analytics

Sankaran, Siva; Sankaran, Kris - In: International Journal of Business Analytics (IJBAN) 3 (2016) 4, pp. 1-20

The number of educational courses offered online is growing, with students often having no choice for alternative formats. However, personal characteristics may affect online academic performance. In this study, the authors apply two business analytics methods - multiple linear/polynomial...

Persistent link: https://www.econbiz.de/10012043172

Applicative Personalized Learning: How Gamification is Driving Learning

Zhuhadar, Leyla; Coleman, Phillip; Marklin, Scarlett - In: International Journal of Knowledge Society Research (IJKSR) 7 (2016) 4, pp. 24-37

As technology has advanced, educational establishments are faced with this question: Are we investing enough funds and resources to provide college students with effective learning tools that could help them succeed not only by alerting them when they are at risk, but also providing them with...

Persistent link: https://www.econbiz.de/10012046303

How successful firms guide innovation: insights and strategies of leading CEOs

Berman, Saul J.; Davidson, Steven; Ikeda, Kazuaki; … - In: Strategy & Leadership 44 (2016) 5, pp. 21-28

Purpose This report by the IBM Institute for Business Value, part of long-term study of C-suite executives, probes the perspectives of the 818 CEOs to find out what they think the future will bring and how they’re positioning their organizations to prosper in the “age of disruption.”...

Persistent link: https://www.econbiz.de/10015017632

Predicitve Analytics in der IT-basierten Entscheidungsunterstützung : methodische, architektonische und organisatorische Konsequenzen

Baars, Henning - In: Controlling : Zeitschrift für erfolgsorientierte … 28 (2016) 3, pp. 174-180

Persistent link: https://www.econbiz.de/10011665029

Banken-Controlling im digitalen Zeitalter

Schindera, Frank; Jux, Michael; Glustin, Oliver - In: Controlling : Zeitschrift für erfolgsorientierte … 28 (2016) 6, pp. 343-349

Persistent link: https://www.econbiz.de/10011665664

Predictive Analytics zur kurzfristigen Umsatzprognose : Entwicklung eines Prognosemodells auf Basis von Auftragseingängen bei der Infineon Technologies AG

Möller, Klaus; Federmann, Frank; Pieper, Svenja; … - In: Controlling : Zeitschrift für erfolgsorientierte … 28 (2016) 8/9, pp. 509-519

Persistent link: https://www.econbiz.de/10011666471

Predictive Analytics im Human Capital Management : Status Quo und Potentiale

Christ, Oliver; Ebert, Nico - In: HMD : Praxis der Wirtschaftsinformatik 53 (2016) 309, pp. 298-309

Datenmengen nahezu automatisiert auszuwerten und Aussagen über zukünftige Entwicklungen zu treffen. Predictive Analytics befinden …-Packard nutzen Predictive Analytics bereits, um Personalbeschaffung und -erhaltung zu verbessern. Obwohl jedoch die Personalbereiche … Potentiale von Predictive Analytics im Human Capital Management vor, untersuchen die Verbreitung sowie die Einsatzmöglichkeiten …

Persistent link: https://www.econbiz.de/10011668818

Early detection of vessel delays using combined historical and real-time information

Kim, Sungil; Kim, Heeyoung; Park, Yongro - In: Journal of the Operational Research Society : OR 68 (2017) 2, pp. 182-191

Persistent link: https://www.econbiz.de/10011625892