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The information value of logistics platforms in a freight matching market
Institution:1. School of Management, Fudan University, Shanghai, 200433, China;2. School of Finance, Nanjing Audit University, Nanjing, 211815, China;1. Newcastle Business School, Northumbria University, Newcastle upon Tyne, UK;2. School of Engineering, Newcastle University, Newcastle upon Tyne NE1 7RU, UK;3. Management School, University of Liverpool, Liverpool L69 3BX, UK;4. Business School, Newcastle University, Newcastle upon Tyne NE1 4SE, UK;5. Department of Operations and Information Systems, University of Graz, Graz, Austria;1. IMB UMR CNRS 5251, Inria Bordeaux Sud-Ouest, Université de Bordeaux, 200 Avenue de la Vieille Tour, Talence, 33405, France;2. Dipartimento di Ingegneria dell’Energia Elettrica e dell’Informazione “Guglielmo Marconi”, Universit di Bologna, Viale del Risorgimento, 2, Bologna, 40136, Italy;1. Università degli Studi di Brescia, Department of Economics and Management, Via S. Faustino 74/b, BS 25122, Italy;2. Technische Universität Dresden, Faculty of Mathematics, Zellescher Weg 12-14, Dresden 01069, Germany;3. Friedrich-Alexander-Universität Erlangen-Nürnberg, Industrial Organization and Energy Markets, Lange Gasse 20, Nürnberg 90403, Germany;4. Energie Campus Nürnberg, Fürther Str. 250, Nürnberg 90429, Germany;1. Facultad de Economía y Negocios, Universidad de Talca, Avenida Lircay s/n, 3461334 Talca, Chile;2. School of Engineering and Information Technology, Bern University of Applied Sciences, Quellgasse 21, CH-2501 Biel, Switzerland;1. EM Normandie Business School, Métis Lab, Clichy 92110, France;2. Tilburg School of Economics and Managemnt, Tilburg University, LE Tilburg 5000, Netherlands
Abstract:The information asymmetry in the freight matching of the long-haul trucking industry usually pushes shippers to join a logistics platform that has better knowledge of truckers’ cost information. A logistics platform that is plugged into a freight transportation system helps shippers overcome their information disadvantage but produces the double marginalization effect. We investigate the equilibrium characteristics of a shipper and logistics platform in the freight matching market and find that the shipper prefers to cooperate with the logistics platform in a small-scale sales market but searches for truckers by himself in a large-scale sales market. We show that the information value of a logistics platform for the freight system consists of two aspects: (i) employ low-cost truckers for the shipper and avoid the shipper’s inefficient expansion of the selling quantity in a moderate-scale sales market with greatly heterogeneous truckers, and (ii) improve both the total profit and social welfare of the freight system in a small-scale sales market. We further find that the shipper’s private information may hurt the logistics platform and the logistics platform can mitigate her double marginalization disadvantage by improving value-added services or lowering the logistics price in a large-scale market. Our findings provide guidelines for the shipper and logistics platform on how to choose the appropriate transportation strategy and employment strategy in different logistics markets.
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