Big Data to Improve Strategic Network Planning in Airlines [electronic resource] /
Schosser, Maximilian.author.
Big data has become an important success driver in airline network planning. Maximilian Schosser explores the status quo of network planning across a case study group consisting of nine airlines representing different business models. The author describes 23 big data opportunities for airline network planning and evaluates them based on their specific value contribution for airline network planning. Subsequently, he develops a financial evaluation methodology for big data opportunities based on key performance indicators for airline network planning departments. Contents Introduction, Methodology, and Theoretical Foundations of Strategic Network Planning in Airlines Status Quo of Strategic Network Planning in Airlines Big Data Opportunities for Airline Network Planning Financial Impact of Big Data for Airline Network Planning Target Groups Researchers and students in the fields of logistics, business information systems, and business administration Practitioners in the fields of logistics, network planning, and airlines The Author Maximilian Schosser completed his doctoral dissertation under the supervision of Prof. Dr. Iris Hausladen at the Heinz-Nixdorf Chair for IT-based Logistics at HHL Leipzig Graduate School of Management, Germany. He works as a management consultant and focuses on digitization and analytical topics in the transportation and logistics sector. His core field of expertise is the deployment of big data analytics in commercial and operational processes. .
Introduction, Methodology, and Theoretical Foundations of Strategic Network Planning in Airlines -- Status Quo of Strategic Network Planning in Airlines -- Big Data Opportunities for Airline Network Planning -- Financial Impact of Big Data for Airline Network Planning.
Big data has become an important success driver in airline network planning. Maximilian Schosser explores the status quo of network planning across a case study group consisting of nine airlines representing different business models. The author describes 23 big data opportunities for airline network planning and evaluates them based on their specific value contribution for airline network planning. Subsequently, he develops a financial evaluation methodology for big data opportunities based on key performance indicators for airline network planning departments. Contents Introduction, Methodology, and Theoretical Foundations of Strategic Network Planning in Airlines Status Quo of Strategic Network Planning in Airlines Big Data Opportunities for Airline Network Planning Financial Impact of Big Data for Airline Network Planning Target Groups Researchers and students in the fields of logistics, business information systems, and business administration Practitioners in the fields of logistics, network planning, and airlines The Author Maximilian Schosser completed his doctoral dissertation under the supervision of Prof. Dr. Iris Hausladen at the Heinz-Nixdorf Chair for IT-based Logistics at HHL Leipzig Graduate School of Management, Germany. He works as a management consultant and focuses on digitization and analytical topics in the transportation and logistics sector. His core field of expertise is the deployment of big data analytics in commercial and operational processes. .
Business logistics.
Management information systems.
Logistics.
Business Information Systems.