房地产市场垄断、供给失灵及其治理

本文在考察我国房地产市场供求特征及其经济后果的基础上,构造了一个具有正反馈效应的概念模型。认为由房地产市场的垄断特性带来的供给失灵使得房地产潜在使用需求受到抑制,投资需求得到强化,而这两者又放大和强化了房地产供给失灵,从而解释了我国目前房地产市场房价高、房屋空置率高的矛盾现象,指出房地产问题的根源在于市场垄断下的供给失灵,并提出通过增加房屋供给和制度建设两个方面来治理供给失灵、改善房地产市场运行的政策建议。     

Analysis on supply chain risks in Indian apparel retail chains and proposal of risk prioritization model using Interpretive structural modeling

Indian apparel retail industry is on a complete transformation journey and trying to evolve as an organized industry. It is very common to find the disruption factors in every business and the ways to mitigate and manage them is of current research interest. The paper discusses the selective risks associated with the apparel retail supply chains in India by structural analysis of the controllable risks that are identified. The work also reveals the use of Interpretative Structural Modeling (ISM) to establish the interdependencies between these risks spread across various supply chain functions of retail industry. The relationships are established based on expert opinions using Delphi technique followed by ISM modeling technique and Fuzzy MICMAC analysis. It also classifies the risk factors based on their driving and dependence power. ISM is proved to be a useful tool to help understand the impact of risks at stages of retail supply chain. Globalization, labor issues and security and safety of resources turns out to be the strong drivers of other supply chain uncertainties. The domino effect of these risks leads to financial crises for the organization.The paper also proposes a new model for the Risk Priority Number (RPN) calculation using ISM and Fuzzy MICMAC methodology for the applications in retail and various other domain risk studies. The sample size of experts is small and to remove the biasness of opinion, the model can be further validated using Structural Equation Modeling (SEM) in the future. The outcome would help practicing managers to analyze and to take actions for managing the factors by improving the bottom line of the organization by proper utilization of resources.     

Fulfillment source allocation,inventory transshipment,and customer order transfer in e-tailing

We consider an inventory fulfillment-allocation and transshipment problem in an e-tailing environment. For a typical e-tailer, each customer demand is fulfilled from the closest fulfillment center if there are enough inventories. Otherwise, the e-tailer would transship stock from a nearby facility or transfer the customer order so it is fulfilled from another facility, depending on the economics of transportation. We develop a mixed-integer programming model to help e-tailers optimally fulfill customer orders while minimizing logistics costs. We propose a Benders decomposition-based approach to efficiently find optimal solutions. Our computational results demonstrate the importance of considering inventory transshipments in online deliveries.     

A multi-echelon supply chain model for reworkable items in multiple-markets with supply disruption

The objective of this paper is to develop a multi-echelon supply chain model for multiple-markets with different selling seasons. Here, two suppliers are involved to supply the raw materials to the manufacturer where the main supplier may face supply disruption after a random time and the secondary supplier is perfectly reliable but more expensive than the main supplier. In this article, the manufacturer produces a random proportion of defective items which are reworked after regular production and are sold in a lot to another market just after completion of rework. The retailer sells the finished products in different markets according to seasons. Finally, an integrated expected cost per unit product of the chain is minimized analytically by considering the lot-size ordered as a decision variable. An appropriate numerical example is also provided to justify the proposed model.     

东三省现代化经济体系创新要素结构优化策略研究

在经济新常态背景下,构建东三省现代化经济体系创新要素结构测度体系,并以长三角地区创新要素结构为参照系,对东三省现代化经济体系创新要素结构现状进行比较分析。在此基础上,从基础条件、市场条件及环境条件3个方面,对东三省现代化经济体系创新要素结构影响因素进行系统性分析。基于创新要素结构影响因素的分析,从要素间结构与要素内结构两方面研究东三省现代化经济体系创新要素结构优化策略。     

科技政策组合的技术创新协同效应研究 ——供给侧—需求侧视角

利用2013-2016年中关村园区企业数据,将创新划分为创新倾向、技术绩效和经济绩效,以政策供给侧的政府补贴、税收优惠及需求侧的政府采购为研究对象,基于倾向得分匹配方法分析供需两侧科技政策组合的技术创新协同效应。结果表明：政策支持对技术创新存在激励效应,供给侧政策对创新倾向的激励效应最强,而需求侧政策对创新绩效的激励效应更显著;不同的科技政策组合形式均对技术创新具有激励作用,并且科技政策组合对技术创新存在协同效应。     

旅游服务供应链中若干环节的协调

自20世纪90年代以来,有些学者已经认识到供应链思想应用于旅游业的重要作用,从不同角度对旅游业的发展应加强供应链建设进行了探讨,而目前我国对旅游服务供应链的研究尚处于初始阶段.对于旅游业而言,旅游产品综合性的特点决定了单个旅游企业不可能提供完全的产品,此种属性同时也决定了旅游服务供应链的存在和形成.旅游服务供应链一旦形成,就需要我们考虑各个企业之间的衔接和协调问题.本文先叙述了旅游服务供应链的概念,然后应用博弈模型、经典报童模型就旅游服务供应链中若干环节的协调进行讨论并给出对策.     

基于Meta分析的供应链网络嵌入性与协同创新绩效关系研究

供应链企业在合作中相互产生嵌入行为对高效整合链上资源以提高协同创新绩效至关重要,然而,两者之间的关系至今尚未形成一致性研究结论。本文利用Meta分析方法,以60篇相关文献、118个效应值、17911个独立样本作为研究对象,探究了网络嵌入性及各维度与协同创新绩效的整体效应,并运用亚组分析明晰了调节变量在两者关系中的调节作用。研究表明：网络嵌入性及其子维与协同创新绩效具有显著的正相关关系。另外,行业类型、区位因素、绩效类型及实证研究方法的不同均会导致研究结果不一致。本研究结论在一定程度上为网络嵌入性与协同创新绩效的关系研究提供了理论依据,同时也为供应链企业通过网络嵌入性提高创新能力提供了可资借鉴的参考思路。     

The effects of bargaining power on trade credit in a supply network

We develop a multi-tier supply network model, rooted in social network theory, to evaluate the effect of bargaining power on trade credit and to track the effect of buyers' trade credit on suppliers' trade credit. We apply social network analysis to measure companies' bargaining power in the supply network of Hennes & Mauritz AB (H&M, the Swedish clothing retailer). The results show that the buyer's bargaining power significantly affects the choice of trade credit, and that the supplier's “upstreamness” is significantly associated with its trade credit. We find limited evidence to support the notion of a financial bullwhip effect, a result that merits further research, since this study is limited to the network of one company up to its fourth tier of suppliers in one financial year. Our results can be applied by companies seeking to control their cash flow and, therefore, the financial pressure within their supply network. This study contributes to the literature by bringing social network measures into the buyer–supplier financial flow, as well as offering one of the first empirical examinations of the propagation of financial pressure in a multi-tier supply network.     

Supply chain decisions and coordination in the presence of an imperfect spot market

This study considers a supply chain consisting of a commodity supplier and a final product manufacturer with uncertain demand. In addition to purchasing from the supplier through a forward contract, the manufacturer can adjust their inventory by trading the commodity in an online spot market after observing the actual demand. However, the spot market is imperfect in that transactions cannot be certainly realized and come with additional transaction costs. Furthermore, the spot price is volatile such that overly relying on the spot market is unwise. To investigate how the spot market affects the decisions and coordination in a supply chain, we develop a game-theoretical model incorporating spot trading. We derive the optimal ordering decision in a centralized supply chain, as well as the supplier's and manufacturer's equilibrium pricing and ordering decisions in a decentralized supply chain. The impact of the imperfect spot market on the optimal decisions and profits is analyzed. This study also demonstrates how the supply chain can be coordinated in the presence of an imperfect spot market. Finally, a numerical analysis is performed to examine the analytical results. Our results indicate that the spot market can generally improve the performance of the centralized supply chain and benefit the manufacturer in the decentralized one. However, it can be detrimental to the supplier. The supply chain can be coordinated by a revenue-sharing contract, and both parties' profits can be improved. Our findings suggest that the manufacturer could take advantage of the spot market, and the supplier should attempt to integrate or coordinate the supply chain to share the benefits of spot trading.