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.     

心理资本、团队信任氛围对地方性本科院校青年教师科研团队隐性知识共享影响的实证研究

摘要：本文从积极心理学的视角引入,以河南省地方性本科院校的150名青年教师科研团队成员为研究对象来研究心理资本、团队信任氛围对地方性本科院校青年教师科研爵队隐性知识共事的影响。通过实证分析表明,心理资本对高校青年教师科研圆队隐性知识共事具有显著的正向影响。目队信任氛围在心理资本与隐性知识共事之间起到调节作用。     

政府信息资源共享的障碍因素分析与对策研究

政府信息资源共享是电子政务建设的关键环节。文章首先介绍了我国政府信息资源共享的重要意义,探讨目前我国政府信息资源共享过程中存在的主要障碍因素,有针对性地提出政府信息资源共享的对策。     

Modeling Airbnb demand to New York City while employing spatial panel data at the listing level

Using spatial panel data comprising a cross section of 1,461 continuously active Airbnb listings obtained from AirDNA, as well as time series data from NYC and Company and the OECD covering the time period September 2014 to June 2016, the present study quantifies own price, cross price, and income elasticities of Airbnb demand to New York City within an empirical tourism demand framework. The particular goal of the study is to establish whether the relationship between Airbnb and the traditional accommodation industry is of a substitutional or of a complementary nature. Employing a one-way fixed-effects spatial Durbin model, it can be concluded that demand is price-inelastic for Airbnb accommodation in New York City, which is a luxury good, and that the city's traditional accommodation industry as well as neighboring Airbnb listings are substitutes for the investigated Airbnb listings. The estimation results are robust against several alternative specifications of the regression equation.     

What caused the rise of Airbnb? An examination of key macroeconomic factors

The social and economic implications of the Airbnb phenomenon have been the subject of much research. Yet, the academic literature on Airbnb is nascent. Specifically, the issue of whether major macroeconomic conditions affect the supply of Airbnb has not been investigated. To address this gap, we propose a conceptual model that explains the determinants of Airbnb supply and examine the extent to which major macroeconomic factors affect the supply of Airbnb. Specifically, we analyze the effects of hotel room rates (ADR), hotel demand, tourism demand, house prices, gross domestic product (GDP), wages and unemployment on the supply of Airbnb in 50 U.S. states. Results show that increases in hotel ADR, house prices, and GDP have contributed to an increase in the supply of Airbnb, whereas increases in unemployment rates and wages have adverse effects on Airbnb supply. Theoretical and policy implications are discussed within realms of macroeconomic theory.     

Does peer monitoring influence choices between cash and food? Findings from a field experiment

To explore whether choices for transfers are influenced by peer monitoring, we examine private versus public choices among monetarily equivalent values of cash and food in northern Kenya. Many northern Kenyan communities face high-levels of chronic food insecurity and are tightly-knit, often sharing food aid transfers. Yet, humanitarian cash transfers are relatively new to the area. Whether cash will be subject to the same sharing norms is not well understood. Utilizing a randomized block experiment, we find that assigning a respondent to choose in front of peers decreases the likelihood of choosing a cash transfer relative to at least some food. We argue that peer monitoring decreases the value of cash relative to food in two inter-related ways. Choosing food in public, first, provides an opportunity for respondents to publicly demonstrate a commitment to local food aid sharing norms. Second, choosing cash in public may be riskier since cash does not yet have established sharing norms. A critical implication is that transfer choices and retargeting of resources within the community can be influenced by use of public or private discussions when eliciting community views, especially in communities where sharing is a salient social norm.     

人际关系视角下组织内知识共享敌意的知识治理研究

个体间持续的知识共享是提升组织竞争力、运营能力和创新能力的关键,但组织内包括知识囤积和知识排斥在内的知识共享敌意行为普遍存在,倾向于组织激励和引导的知识治理可有效减少员工知识共享敌意,并进一步促进组织知识共享。基于255名企业员工调研数据,从个体感知视角,实证研究了知识治理对知识共享敌意产生原因的影响,进而对个体知识共享行为作用机理,以及人际关系在知识治理与知识共享敌意产生原因之间的中介作用进行了检验。结果表明,包括知识囤积和知识排斥在内的知识共享敌意产生原因显著阻碍个体知识共享行为的发生;正式知识治理对非正式知识治理具有显著正向影响,且正式知识治理和非正式知识治理又能显著减少知识共享敌意产生原因;人际关系在知识治理与知识共享敌意成因之间具有中介效应。     

跨文化环境下的知识共享策略

以往的知识共享研究都集中于共同文化背景下的知识共享;而当前企业越来越多地面临着跨文化环境下的知识共享问题。本文分析了跨文化环境的含义、来源与特征以及对知识共享的影响,并提出了跨文化环境下的知识共享策略。     

科技人力资源共享绩效提升机制研究——基于社会资本视角

随着科学技术的迅速发展,科技人力资源的重要性日益凸显.由于科技人力资源的稀缺性和培养的长期性,企业开始转向外部寻求科技人力资源共享.科技人力资源共享绩效是潜在绩效、行为绩效和结果绩效的统一体,具有受益主体多元性和高风险性,其必须经由受益主体多方密切合作和高效的管理驱动才能实现,而科技人力资源社会资本有助于提高共享绩效实现过程中的合作与管理效能.本文将科技人力资源社会资本拆解为结构、认知和关系三大维度,并详细论述了各维度与科技人力资源共享绩效的关系,建立了社会资本与科技人力资源共享绩效关系模型,并以此为基础构建了包括沟通机制、信任机制和激励机制的科技人力资源共享机制,以有助于科技人力资源共享绩效的实现.     

知识产权密集型产业专利联盟运营模式创新研究

基于商务模式创新视角,提出了知识产权密集型产业专利联盟的6种专利运营模式,包括专利谈判模式、专利许可模式、产业合作模式、知识产权与产业发展论坛模式、专利联盟与专利运营中心协同模式以及品牌共享与合作模式。围绕传统型企业与知识产权密集型企业之间的商标诉讼案,剖析了其负面影响,提出了权利冲突的解决方案。最后,从食品产业专利联盟运营层面,提出设立淮安捆蹄地理标志品牌保护推广平台和缘文化传播公共平台。