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Jens Kopp analyzes the potential of car sharing as a new mobility solution in light of progressive urbanization and researches factors influencing the use of car sharing to assess the growth outlook of car sharing services. He performs a regression analysis to identify statistically significant factors influencing the use and evaluation of car sharing services based on an empirical field research conducted in Germany (n=175). Key findings include that cost saving is the only researched factor relevant to influence the use of car sharing services as well as the evaluation of car sharing and the assessment of its future. The existing research shows that car sharing is a viable lever to address substantial ecological and economic mobility issues and the conducted research provides new insights into the factors influencing the use and evaluation of car sharing services. Contents The Transformation in the Automobile Industry State of the Automobile Industry: Porter’s Five Forces Research Design: Empirical Field Research on Potential Car Sharing Users Target Groups Researchers and students in the fields of strategic corporate management, marketing, and economics Market research specialists, strategy managers, marketing and sales experts in the automobile industry The Author Jens Kopp holds a Master’s Degree in Business Administration from the FOM in Essen with a focus on Strategic Corporate Management. .
Car sharing. --- Auto sharing (Car sharing) --- Automobile sharing --- Carsharing --- Automobile leasing and renting --- Marketing. --- Globalization. --- Management. --- Administration --- Industrial relations --- Organization --- Global cities --- Globalisation --- Internationalization --- International relations --- Anti-globalization movement --- Consumer goods --- Domestic marketing --- Retail marketing --- Retail trade --- Industrial management --- Aftermarkets --- Selling --- Marketing
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This book reports on an operational management approach to improving bike-sharing systems by compensating for fluctuating demand patterns. The aim is to redistribute bikes within the system, allowing it to be “actively” balanced. The book describes a mathematical model, as well as data-driven and simulation-based approaches. Further, it shows how these elements can be combined in a decision-making support system for service providers. In closing, the book uses real-world data to evaluate the method developed and demonstrates that it can successfully anticipate changes in demand, thus supporting efficient scheduling of transport vehicles to manually relocate bikes between stations.
Transportation engineering. --- Traffic engineering. --- Control engineering. --- Operations research. --- Decision making. --- Transportation Technology and Traffic Engineering. --- Control and Systems Theory. --- Operations Research/Decision Theory. --- Bicycle sharing programs. --- Bikeshare programs --- Community bicycle programs --- Free bicycle programs --- Public bicycle programs --- Bicycle leasing and renting --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management --- Management decisions --- Choice (Psychology) --- Problem solving --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory --- Control engineering --- Control equipment --- Control theory --- Engineering instruments --- Automation --- Programmable controllers --- Engineering, Traffic --- Road traffic --- Street traffic --- Traffic, City --- Traffic control --- Traffic regulation --- Urban traffic --- Highway engineering --- Transportation engineering --- Civil engineering --- Engineering --- Decision making
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