组织模块化对研究型大学技术转移绩效的影响

技术转移是将社会科技资源转化为实体经济效益的重要途径。当前，我国研究型大学技术转移渠道不畅、技术转移绩效不高、大学科技成果成功产业化“最后一公里”问题凸显。基于现实需求和研究缺口，构建组织模块化对研究型大学技术转移绩效影响的理论模型。在此基础上，收集我国38所研究型大学样本数据，采用SPSS24.0和AMOS软件进行结构方程路径分析，论证和检验组织模块化对于研究型大学技术转移绩效的影响机制。结果表明：组织模块化对研究型大学技术转移绩效具有显著正向影响；技术创新能力在组织模块化与技术转移绩效之间起显著中介作用；知识共享的调节作用主要体现在组织模块化独立性、响应性与技术创新能力之间的关系上，其对组织模块分工性与技术创新能力关系的影响作用不显著。     

What is happening in Paris? Airbnb,hotels, and the Parisian market: A case study

Airbnb has been the subject of heated discussions among tourism and hospitality scholars. In order to understand the true impact of P2Psharing on the tourism and hospitality landscape, it is important to understand that market in detail first. Therefore, in this paper, we explore the development of the Airbnb market over the last seven years in Paris, the most popular destination for Airbnb guests with more than 40,000 accommodation rentals. This research note is a summary of our findings on the Paris market. Our study shows different growth and seasonality patterns for Airbnb and hotels and dissimilarities in the geographical location of the offers. The findings indicate that the two products are not in direct competition and that their relationship might be more complex than previously thought. We trust that exploring the nature of the competitive relationship would be a valuable avenue for further investigation.     

SUPPLY CHAIN INFORMATION SHARING IN A VENDOR MANAGED INVENTORY PARTNERSHIP

Vendor Managed Inventory (VMI) involves the vendor making the replenishment decision for products supplied to a customer based on various inventory and supply chain policies. Information sharing between supply chain members is required in VMI. Sometimes VMI decisions are delayed and/or the information shared is inaccurate. This research examines the effects of information delay and accuracy, and the sharing of sales and forecast information in a VMI environment facing stationary and nonstationary demand. The simulation experiments show the impact of information delay, information inaccuracy, and information sharing on a variety of performance measures, including inventory levels and fill rates.     

Heterogeneity and Share Contracting in Medical Group Practices

This paper offers an empirical analysis of the relationship between income sharing rules and physician heterogeneity in medical group practices.The economies to group formation associated with risk–sharing, mutual monitoring,and internal referral are served by sharing at least a portion of group income equally. Sharing group income equally is problematic, however, when group members differ in their contribution to group income. Member contributions to group income may differ because of differences in ability, effort, or the price of services across specialty fields. The analysis below is addressed to the question of how income sharing rules in physician groups are affected by variation in member contributions. The analysis finds evidence that heterogeneity in member contributions to group income limits the use of equal income sharing rules in multispecialty groups relative to single specialty groups, and large groups relative to small groups. Nevertheless, 65% of all groups in the survey share at least a pn of group income equally, which broadly suggests that the joint surplus enhancement from risk sharing, mutual monitoring, and internal referral are sufficient to overcome the incentive problems of such rules     

解读会计信息产权

会计信息外部性的存在带来会计信息供求的冲突,解决此冲突的规则就是会计信息产权。会计信息产权需要界定才能发挥其应有的效能,会计信息产权的界定取决于对企业所有权分享、管制和道德等因素,企业所有权分享下的会计信息产权界定是初始的界定,无法完成初始界定时可采用管制方式进行强权界定,道德是会计信息产权界定不可缺少的因素。国企改革所滋生的各种问题的根源在于会计信息产权畸形性,欲抑制其畸形,正确处理国企所有权的分享问题的同时,建立“共同治理”的机制和“相机治理”机制是必不可少的。     

我国财政收支划分的立法研究

财政收支划分是财政管理体制的重要组成部分.在市场经济体制下,财政收支划分立法有利于政府职能的履行和公共财政的运行,是完善分税制财政管理体制的丛然要求.完整的财政收支划分法律制度应当由财政级次划分、财政收支分类、财政支出划分和财政收入划分等制度构成.     

供应链金融利益主体的多阶段博弈研究

现代经济中,金融在资源配置方面发挥的作用明显不足,出现严重的资源浪费和供需错配现象,加剧了中小企业面临的融资难问题.本文从供应链金融的内涵切入,建立以利益相关者为主体的融资量化模型,利用多阶段博弈理论对企业不同模式下的成本收益进行检验,结果表明:供应链金融在实现上、下游各利益相关者个体的最优化的同时,也可有效促使供应链整体的利益最大化、实现高效运作和价值增值,全面实现链上企业间的资源共享、互利共赢.     

Social capital,user motivation,and collaborative consumption of online platform services

Collaborative consumption is broadly defined as sharing, obtaining, and giving access to products and services through peer networks online. As it is expected to resolve the societal and environmental problems, quite a few studies investigated consumers’ motivations that lead to positive attitudes and intention for collaborative consumption. This paper aims to study the determinants that motivate participants to perceive a positive attitude towards collaborative consumption focusing on three salient traits of social capital (shared goal, social interaction tie, and norms of reciprocity). The study found that social capital exerts a more substantial influence on intrinsic motivation (enjoyment and sustainability) than extrinsic motivation (economic benefit). The study also found that different social capital traits display different effects on motivation. In particular, the shared goal was a key determinant of both intrinsic and extrinsic motivation. And all three motivations positively affect collaborative consumption attitudes.     

知识操纵行为意向影响因素研究

知识（尤其是隐性知识）是员工生存和发展的关键资源，知识权利的不完全性决定了知识交换中不可避免地存在欺骗、偷盗、投机等失范行为。在协同创新过程中，知识型员工既相互合作又彼此竞争。除采取知识共享和知识隐藏两种策略外，员工通常会选择折中的、柔性知识操纵策略管理个体知识。由此，界定知识操纵内涵，剖析其自利性、欺骗性、不确定性和隐蔽性4个特点。在此基础上，选择扎根理论方法，通过对68名知识型员工访谈数据进行编码，构建由本体、主体、客体、载体、动机、环境、契合7个主范畴组成的知识操纵影响因素概念模型。最后，围绕知识操纵治理，提出优化创新任务属性、发挥知识操纵对象能动作用、选择高效知识管理载体、培养员工利他特质、营造协同创新环境、提高员工契合度等启示。     

The eruption of Airbnb in tourist cities: Comparing spatial patterns of hotels and peer-to-peer accommodation in Barcelona

In recent years, what has become known as collaborative consumption has undergone rapid expansion through peer-to-peer (P2P) platforms. In the field of tourism, a particularly notable example is that of Airbnb. This article analyses the spatial patterns of Airbnb in Barcelona and compares them with hotels and sightseeing spots. New sources of data, such as Airbnb listings and geolocated photographs are used. Analysis of bivariate spatial autocorrelation reveals a close spatial relationship between Airbnb and hotels, with a marked centre-periphery pattern, although Airbnb predominates around the city's main hotel axis and hotels predominate in some peripheral areas of the city. Another interesting finding is that Airbnb capitalises more on the advantages of proximity to the city's main tourist attractions than does the hotel sector. Multiple regression analysis shows that the factors explaining location are also different for hotels and Airbnb. Finally, it was possible to detect those parts of the city that have seen the greatest increase in pressure from tourism related to Airbnb's recent expansion.