后危机时代浙江省自主创新能力的培育

从统计数据上看,①浙江省的自主创新能力在长三角地区处于偏弱地位.由此造成的不利影响是,浙江经济的抗风险能力弱并且与邻居江苏省的经济差距持续扩大.浙江省自主创新能力弱的根源在于,当外部产业环境表现为高进入壁垒时,以民营化和市场化为特点的发展模式把浙江经济的发展锁定在一条低水平的路径之上.因而,破解这一难题的出路在于理清市场和政府两种机制下的自主创新规律,以创新型产业集群建设为目标,通过市场和政府两种手段的相互配合来推动自主创新能力的提高和加快经济增长方式的转变.     

我国农村金融体制运行中存在的主要问题

积极发展现代农业,离不开金融这一关键要素的支持与保障.文章依据统计资料,揭示出我国现行农村金融体制运行中存在着农村资金系统性流失巨大、商业性金融逐步淡出、合作性金融规模小实力弱、政策性金融业务面狭窄、民间金融活跃但缺乏规范和保护、财政支农力度不强、"三农"风险保障机制缺失、农村金融担保体系几乎空白等八大问题.提出了以"三农"金融需求为依据、财政资金为扶持、政策性金融为引导、合作性金融为主体、商业性金融为后盾、大金融为视角的改革和创新我国农村金融体制的政策建议.     

在应对“用工荒”中推动企业转型升级

总结用工荒的基本特征,分析其产生的原因,并提出企业和政府联手应对用工荒的对策。认为企业要通过机械化和自动化降低用工依赖、提高效率和向低成本地区转移来化解用工高成本,变革企业管理减少员工流失。政府要通过加快区域产业布局调整、加强农民工职业技能培训、加快农业现代化建设提高用工供给、推动农民工与市民在住房保障等方面平权、优化农民工就业服务和劳动力市场建设、构建少取多予的财税扶持等措施,帮助企业应对用工荒,实现转型升级。     

生态哲学--产品生态设计的哲学基础和理论指导

生态哲学研究人与自然相互作用的基本问题.生态哲学为人与自然、人与社会的综合优化发展提供了一般的方法论,也为工业设计的实践与发展提供了思路和原则.产品生态设计是生态学与工业设计相结合的产物,而马克思主义的生态哲学思想则为此提供了重要的理论指导.     

Fostering Risk Taking in Research and Development: The Importance of a Project's Terminal Value

Large firms face a conflict in managing a portfolio of high-risk projects. When an ongoing project is thought to have a low likelihood of success, project team members take risks to improve its chances of success. However, upper-level managers who allocate resources tend to withhold resources from a project with a low likelihood of success in favor of others in the portfolio that look more promising. Because this paucity of resources influences project team members to avoid risk, the total effect of success likelihood on risk taking is conflicted. The influence on risk taking of a project's terminal value—defined as the value that remains in the firm in the event of project failure—is unequivocally positive, because both senior management resource allocation and project team risk-taking propensity are encouraged by terminal value. Thus, firms can override the ambivalent effect of likelihood of success on project decision making by focusing attention on a project's terminal value.     

Team‐Level Antecedents of Individuals' Knowledge Networks*

Individuals' knowledge networks are widely considered to contribute substantially to the effectiveness and efficiency of organizations. While the positive effects of knowledge networks as a primary driver of social capital have recently received considerable research attention, potential determinants of individuals' network building have not yet been adequately addressed. In this study, we investigate how certain team‐level properties affect team members' development of knowledge networks through the course of a team project. Using data from 430 team leaders and team members pertaining to 145 software development projects, we test cross‐level hypotheses using hierarchical linear modeling (HLM). The results indicate that the team's perception of the organizational knowledge‐sharing climate, the team's networking preference, and the team's perceived importance of networking for project success positively affect individuals' network building. Furthermore, a team's perception of the adequacy of its technical competency and a team's perception of the adequacy of its material resources inhibit team members' individual network development. Theoretical and managerial implications are discussed.     

Recurrence relations for moments of progressively censored order statistics from logistic distribution with applications to inference

In this paper, we establish several recurrence relations for the single and product moments of progressively Type-II right censored order statistics from a logistic distribution. The use of these relations in a systematic manner allows us to compute all the means, variances and covariances of progressively Type-II right censored order statistics from the logistic distribution for all sample sizes n, effective sample sizes m, and all progressive censoring schemes (R₁,…,R_m). The results established here generalize the corresponding results for the usual order statistics due to [Shah, 1966] and [Shah, 1970]. These moments are then utilized to derive best linear unbiased estimators of the location and scale parameters of the logistic distribution. A comparison of these estimators with the maximum likelihood estimations is then made. The best linear unbiased predictors of censored failure times are briefly discussed. Finally, an illustrative example is presented.     

A Framework for Examining the Interface between Operations and Information Systems: Implications for Research in the New Millennium*

Even though much research has been published in operations and information systems, both functional areas find their roots in other disciplines. While operations management evolved from operations research in the 1960s, the field of information systems is of more recent vintage and traces its original roots to computer science. Both disciplines now naturally have come closer together as information and process-technology-based changes force manufacturing firms to become more efficient and customer focused. Market and technology-driven e-commerce initiatives that are likely to dominate business strategies in the future cannot be successfully achieved without a successful integration of operations and information systems. In this paper, we present a unifying framework that can be used to better understand the management of the functional interface between operations and information systems. We also categorize and highlight the contributions of the articles that appear in this special research focus issue. Finally, research directions that emerge from our understanding of this interface are outlined in an effort to stimulate further thinking and research that can advance our knowledge of this interface area.     

A Sensitivity Analysis Approach for Some Deterministic Multi-Criteria Decision-Making Methods*

Often, data in multi-criteria decision making (MCDM) problems are imprecise and changeable. Therefore, an important step in many applications of MCDM is to perform a sensitivity analysis on the input data. This paper presents a methodology for performing a sensitivity analysis on the weights on the decision criteria and the performance values of the alternatives expressed in terms of the decision criteria. The proposed methodology is demonstrated on three widely used decision methods. These methods are the weighted sum model (WSM), the weighted product model (WPM), and the analytic hierarchy process (AHP). This paper formalizes a number of important issues on sensitivity analysis and derives some critical theoretical results. Also, a number of illustrative examples and computational experiments further illustrate the application of the proposed methodology.     

The Role of Innovation Characteristics and Perceived Voluntariness in the Acceptance of Information Technologies

The often paradoxical relationship between investment in information technology and gains in productivity has recently been attributed to a lack of user acceptance of information technology innovations. Diverse streams of research have attempted to explain and predict user acceptance of new information technologies. A common theme underlying these various research streams is the inclusion of the perceived characteristics of an innovation as key independent variables. Furthermore, prior research has utilized different outcomes to represent user acceptance behavior. In this paper we focus on individual's perceptions about the characteristics of the target technology as explanatory and predictive variables for acceptance behavior, and present an empirical study examining the effects of these perceptions on two frequently used outcomes in the context of the innovation represented by the World Wide Web. The two outcomes examined are initial use of an innovation and intentions to continue such use in the future, that is, to routinize technology use. Two research questions motivated and guided the study. First, are the perceptions that predict initial use the same as those that predict future use intentions? Our results confirm, as hypothesized by prior research, that innovation characteristics do explain acceptance behavior. The results further reveal that the specific characteristics that are relevant for each acceptance outcome are different. The second research question asks if perceived voluntariness plays a role in technology acceptance. Results show that external pressure has an impact on adopters' acceptance behavior. Theoretical and practical implications that follow are presented.