Smartphone preferences and brand loyalty: A discrete choice model reflecting the reference point and peer effect

Brand loyalty and interest have significant impacts on consumers' smartphone choices. What about brand loyalty and interest of smartphone in South Korea where Samsung originates from? This study investigates brand loyalty and interest and how they are affected by the satisfaction of innovative peers in South Korea. An asymmetric discrete choice model with reference-dependent preferences is applied for the analysis. The estimation results show that in South Korea the brand is the most important attribute of smartphone and Apple is the strongest in brand loyalty. Whether consumers who are currently owners of Apple smartphones continue to maintain the same brand in their next purchasing depends not only on their brand loyalty but also on the satisfaction of their highly innovative peers who currently own the Apple. On the other hand, Samsung's brand loyalty is lower than that of Apple, but the brand interest is the highest. Additionally, in all smartphone brands, satisfaction with smartphone brands owned by innovative peers has a significant impact on consumers' interest.     

Aircraft line maintenance scheduling and optimisation

With the advent of new technologies and more modern aircraft, many of the maintenance jobs traditionally scheduled for periodic block checks can now be performed in the ‘‘line maintenance” environment, i.e., during layovers between scheduled flights of an aircraft. This flexibility can be exploited to reduce maintenance costs and improve fleet utilisation of an airline. In this paper we introduce and study the Line Maintenance Scheduling Problem (LMSP). The LMSP assigns jobs to available maintenance opportunities, defined by aircraft routes, and sets the starting time for each job. Its objective is to minimise the deviation from this schedule with respect to given due dates for each task, without exceeding resource capacity at the airports at any moment. We formulate the LMSP as a mixed integer programming problem, and describe and compare two solution approaches for this problem: an integrated exact solution algorithm, which solves job assignment and timetabling simultaneously, and a sequential, heuristic approach. We tested our algorithms on a set of instances inspired on data provided by an industry partner. Our experiments show the applicability of both approaches on realistic settings: the exact approach was able to find the optimal solution for all instances, in less than 10 min on average. Our analysis also shows with an example that line maintenance can be more efficient when capacity is spatially spread, even if the total capacity is reduced.     

Modeling the mixed storage strategy for quay crane double cycling in container terminals

A mixed storage strategy was proposed to improve the efficiency of yard operations and horizontal transportation to corporate with quay crane double cycling. The effects of the mixed storage strategy on terminal operations, including truck travel distance, yard crane operations and the number of required trucks, were analyzed. An approach based on cycle-time models, the queuing theory was proposed to evaluate the performances from long-term run. Results show using the mixed storage strategy, the truck travel distance can be decreased and the number of required trucks and yard crane’s operation time can be reduced by 16% and 26% respectively.     

Planning and optimization of intermodal hub-and-spoke network under mixed uncertainty

This paper addresses the planning and optimization of intermodal hub-and-spoke (IH&S) network considering mixed uncertainties in both transportation cost and travel time. Different from previous studies, this paper develops a novel modeling framework for the IH&S network design problem to jointly minimize the expected value of total transportation costs and the maximum travel time requirement in term of critical value. A new hybrid methodology by combining fuzzy random simulation (FRS) technique and multi-start simulated annealing (MSA) algorithm is designed to solve the proposed model. Numerical experiments are implemented to verify the effectiveness of the proposed model and solution approach.     

Optimal pollution control with distributed delays

We present a model of optimal stock pollution control with general distributed delays in the stock accumulation dynamics. Using generic functional forms and a distribution structure covering a wide range of distributions, we solve analytically the complex dynamic system that arises from the introduction of these distributed delays. From a theoretical standpoint, our contribution extends the dynamic optimization literature that focused on single discrete delays and develops an original method to address control problems written as mixed type functional differential equations with general kernels. Our results show the qualitative impact of acknowledging these distributed delays on the optimal pollution paths dynamics. We study analytically the properties of the dynamics and we identify the conditions for the occurrence of limit cycles. This theoretical work contributes to the design of efficient environmental policies in the presence of complex delays.     

Export,Exchange Rate Risk and Hedging: The Duopoly Case

Abstract. This paper studies a Cournot duopoly in international trade with firms exposed to exchange rate risk. A hedging opportunity is introduced by a forward market on which one firm can trade the foreign currency. We investigate two settings: First, we assume that hedging and output decisions are taken simultaneously. It is shown that hedging is exclusively done for risk‐managing reasons as it is not possible to use hedging strategically. Second, the hedging decision is made before the output decisions. We show that hedging is not only used to manage the risk exposure but also as a strategic device.     

茶农生物农药属性偏好及支付意愿研究——基于选择实验的实证分析

利用选择实验方法实证分析了茶农生物农药属性偏好和支付意愿。结果表明:(1)茶农偏好"缩短安全间隔期""不提前使用"和"不产生抗药性"的农药属性,但在"缩短安全间隔期"和"针对防治"上存在偏好异质性;(2)茶农愿为优化3类属性多支付16.974、22.250和11.272元/亩/年;(3)种植面积小、受教育年限长、化学农药危害认知程度高的茶农倾向于选择生物农药;(4)生物农药实际支付高于各属性加总的意愿支付,应关注生物农药外部性。     

混合所有制企业竞争力与股权结构关系研究——基于制造业的分析

文章选择制造业行业进行研究,通过建立混合所有制企业的竞争力指标体系,用因子分析法对符合条件的388家样本企业在2010-2014年的竞争力进行测评,然后研究了混合所有制企业竞争力与股权结构之间的定量关系,发现混合所有制企业竞争力与股权集中度呈"U"形关系、与股权制衡度呈正相关关系、与高管持股比例不相关,最后结合样本企业当前的股权结构现状,提出了提升混合所有制企业竞争力的对策,包括:适当降低第一大股东持股比例、提高第二大股东至第五大股东的合计持股比例、有意识的打造第二大股东、加大高管持股力度等。     

国有企业混合所有制改革、金融化程度与全要素生产率

为推动混合所有制改革实现国有企业高质量发展,解决低效率和金融化的问题,文章选择国有制造业上市企业2008-2017年间的样本数据,考察了国有企业混合所有制改革与金融化程度对全要素生产率的交互影响机制。研究发现,引入非国有资本提高了国有企业全要素生产率,却加剧了企业金融化对全要素生产率的挤出效应,在规模较小、盈利能力较弱或市场化水平较低的国有企业中挤出效应更明显。在国有企业混合所有制改革过程中,非国有股东会基于套利目的,带动金融化程度的提升。基于上述研究结果,文章建议进一步完善混合所有制改革制度,改变企业资源配置方式,矫正资源误配格局,在帕累托改进的路径中推进改革,保证国有企业高质量发展。     

First mover advantage by product proliferation in multiproduct duopoly

This study aims to show that the product proliferation strategy in multi‐product duopoly is first‐mover advantage. We consider simultaneous and Stackelberg variety competitions. A firm producing more varieties charges a higher price, produces larger total quantities, and earns higher total revenue. When firms sequentially choose the masses of varieties and then simultaneously decide prices, the leader produces more varieties and enjoys first‐mover advantage. The masses of varieties can be regarded as strategic substitutes in the same way that quantities are. Finally, the market is likely to provide too few varieties relative to the social optimum.