基于信息融合技术的备件库存控制决策模型研究

备件在保证企业正常生产发挥着巨大作用。本文通过对备件库存决策信息的特征进行分析的基础上,构建了基于多源信息融合技术的备件库存控制决策模型,并对采用何种信息融合方法与策略进行备件库存决策分析做了一定的研究。     

关于因子分析的几点看法

因子分析作为探索系统内运动规律的重要工具之一被广泛使用。因子分析属于描述性分析,它能够保证在数据信息损失最小的前提下,从大规模的原始数据群中,迅速将重要的信息提取出来。将高位的数据集合进行降级处理,迅速地揭示系统中的因子结构,使人们对该系统达到尽可能充分和全面的认识。     

Investment decision-making under economic policy uncertainty

It is widely established that economic policy uncertainty (EPU) affects investment decisions and performance, yet research in this area has overlooked the direct property investment market. This article seeks to rectify this and proposes a multistage multilevel analytical framework to offer new insights and a richness of findings. Using a news-based measure of EPU in the United Kingdom, and controlling for economic conditions, a national-level analysis reveals some evidence of Granger-Causality between EPU and total returns, indicating that pricing is responsive to uncertainty. These findings suggest that EPU is an important risk factor for direct property investments, with pricing implications. Differences in data and performance measure are important, however, with income returns unresponsive. A micro-level investigation begins to reveal some of the asset-pricing decisions underpinning the national results, indicating investors’ concerns for income streams are consistently high, regardless of varying EPU. Pricing can also cause changes in EPU, such as in the retail and industrial markets (increasingly linked through logistics) reflecting sector-specific stakeholder groups and newsworthy issues. This evidence highlights how important it is for policy-makers to understand the complex and bi-directional relationship, that indecision can undermine investment confidence and cause investment market volatility, in turn raising EPU.     

时空大数据支持的土地储备智能决策体系与应用研究

研究目的:设计土地储备智能决策体系,将土地储备决策环节进行科学化、定量化和模型化,为政府合理开展土地储备提供决策依据。研究方法:遵循科学性、实用性、先进性、开放性原则,以数据为驱动,人工智能为核心,通过基于Hadoop/Spark的大数据处理技术、多源异构数据融合技术、智能决策模型集对多源时空大数据挖掘分析。研究结果:提出了土地储备智能决策体系,研究了一套面向土地储备的决策方法集,实现对现状条件的精准刻画,对土地储备规模、结构、时序等内容的科学决策;在此基础上,研发了智能决策支持平台,将数据资源共享、现状条件评估、智能决策专题等功能集成,构建土地储备智能决策"一张图",并实现平台的自我学习和更新。研究结论:应用于宁波市实例验证,该体系有效地促进了土地储备科学智慧决策,对优化土地资源配置具有参考意义。     

The Effect of Information Communication Technology and Corporate Organizational Reforms on Productivity in Japan: Firm- level Evidence

Our main objective in this paper is to understand how Japanese firms can increase productivity by utilizing Information and Communication Technology (ICT). E-commerce, BPO (Business Process Outsourcing), and SCM (Supply Chain Management) are popular in Japan, so a new type of ICT might offer an opportunity for Japanese firms to change current business relations or to start up new ones. The novelty of this paper is in its empirical study of the combination of ICT promotion and a variety of business organizational changes needed to discover which type of business organizational change is suitable for raising productivity in Japan. For workplace organization within firms, we discuss the decentralization or centralization of decision-making power and the flattening of the corporate hierarchy. For business relational changes, we discuss the outsourcing of the business process and the start up of new business relations. Our main result is that in general, the promotion of ICT has better effects in reforms related to changes in business relations among business partners, rather than to reforms within a firm. Starting up new business relations that require planning and R&D show the best chances of raising productivity using ICT promotion.     

Prioritizing destination attributes for optimal resource allocation: a study of Chinese tourists visiting Britain

ABSTRACT

This study assesses the importance, performance, and the interrelationships of key destination attributes for marketing managers to prioritize resource allocation. A three-dimensional analysis of importance–performance–impact-analysis (IPIA) factors, based upon a survey sample of 275 Chinese tourists to Britain and an expert panel interview with 10 destination marketing managers is presented. Data analysis was based upon a mix of multi-criteria decision-making methodologies, the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method and the Analytic Network Process (ANP) method. The framework can be applied to prioritize resources allocation to improve customer satisfaction in other contexts, such as a sector or a specific business.     

Where to vacation? An agent-based approach to modelling tourist decision-making process

Agent-based models (ABMs) are becoming more relevant in social simulation due to the potential to model complex phenomena that emerge from individual interactions. In tourism research, complexity is a subject of growing interest and researchers start to analyse the tourism system as a complex phenomenon. However, there is little application of ABMs as a tool to explore and predict tourism patterns. The purpose of the paper is to develop an ABM that increases knowledge in tourism research by (i) considering the complexity of tourism phenomenon, (ii) providing tools to explore the complex relations between system components and (iii) giving insights on the functioning of the system and the tourist decision-making process. A theoretical ABM is developed to improve knowledge on tourist decision-making in the selection of a destination to vacation. Tourists’ behaviour, such as individual motivation, and social network influence in the vacation decision-making process are hereby discussed.     

The search for the best deal: How hotel cancellation policies affect the search and booking decisions of deal-seeking customers

This study examined cancellation policies and their role in shaping travelers’ deal-seeking behavior, exploring the impact of cancellation fees and deadlines on three, mutually exclusive, customers’ hotel booking behavior categories: “Book”, “Book and Search”, and “Search”. 291 subjects, who participated in a week long online “booking game”, attempted to book a room in a virtual hotel and get the best deal. The results were tested using small sample t-test for comparing proportions between two independent populations, non-parametric multiple pairwise comparisons, and multinomial logit regression models. The findings indicate that the cancellation deadline affected participants’ behavior while the size of the cancellation fee had no statistically significant impact. In addition, there was no significant difference between lenient cancellation deadline and no cancellation policy.     

国有企业员工参与公司治理问题研究

本文分析了国有企业员工参与公司治理的理论依据,比较评价了世界各国员工参与公司治理的方式和途径,在此基础上,构建了我国国有企业员工参与公司治理的模式,即职工持股下的员工共决制。     

资产减值政策实施效果的实证研究

从决策有用性的会计目标出发,利用我国上市公司2001年～2004年的数据,从投资者的角度对资产减值信息的价值相关性进行实证研究,藉以评价资产减值政策实施的有效性。研究结果表明,我国的资产减值信息具有增量的价值相关性,能够给投资者提供更多的决策有用性信息,因此有继续实施和进一步完善资产减值政策的必要。