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Full-Text Articles in Management Information Systems
Applying Input-Output Model To Investigate The Inter-Industrial Linkage Of Transportation Industry In Taiwan, Rong-Her Chiu, Yu-Chang Lin
Applying Input-Output Model To Investigate The Inter-Industrial Linkage Of Transportation Industry In Taiwan, Rong-Her Chiu, Yu-Chang Lin
Journal of Marine Science and Technology
This paper aims to investigate the role and influence of the transportation sector on the national economy of Taiwan by using input-output analysis. Data from the period 1991-2006 is used to analyze the inter-industrial linkage effects in 33 sectors. The results show that the transportation industry in Taiwan has more strength in absorbing the products of related industries rather than being used as an input by other industries; it has a relatively strong capacity for pulling in other industries. Road transportation also has comparatively more strength in supporting other industries domestically. Taking the transportation industry as exogenous, this study further …
Modeling Pricing And Scheduling Strategies For Air Cargo Carriers As Non-Cooperative Games, Oliver Feng-Yeu Shyr, Yuan-Lu Lee
Modeling Pricing And Scheduling Strategies For Air Cargo Carriers As Non-Cooperative Games, Oliver Feng-Yeu Shyr, Yuan-Lu Lee
Journal of Marine Science and Technology
To develop efficient pricing and service strategies for air cargo carriers, we formulated air cargo demand as a Multinomial Logit model to reveal forwarders’ preferences toward freightage, flight frequency and service reliability. By applying non-cooperative game approach, we solve the market equilibrium to produce optimal freightage of priority and ordinary cargo for forwarders with various shipping volumes as well as the optimal flight schedules of air cargo carriers. In the case study, we found that the leader of air carriers would have not only the largest share, but also the highest freightage for both ordinary and priority cargo. And, with …
A Comparative Study On The Forecast Of Fresh Food Sales Using Logistic Regression, Moving Average And Bpnn Methods, Wan-I Lee, Cheng-Wu Chen, Kung-Hsing Chen, Tsung-Hao Chen, Chia-Chi Liu
A Comparative Study On The Forecast Of Fresh Food Sales Using Logistic Regression, Moving Average And Bpnn Methods, Wan-I Lee, Cheng-Wu Chen, Kung-Hsing Chen, Tsung-Hao Chen, Chia-Chi Liu
Journal of Marine Science and Technology
Different prediction methods give different performance predictions when used for daily fresh food sales forecasting. Logistic Regression (LR) is a good choice for binary data, the Moving Average (MA) method is good for simple prediction, while the Back-Propagation Neural Network (BPNN) method is good for long term data. In this study we develop and compare the performance of three sales forecasting models, based on the above three prediction methods, for the forecasting of fresh food sales in a point of sales (POS) database for convenience stores. Fresh food is characterized by two factors: its short shelf-life and its importance as …