加速发展我国第三方物流的必要和可能

积极发展第三方物流，是加速建设我国现代化物流体系的重要方面，从我国国情出发，依托现有的物流资源，利用我国中、小企业急迫要求提供社会化物流服务的市场需求，策化构建我国的第三方物流产业。     

论我国现行缺陷产品召回制度

我国有关缺陷产品召回制度的法律规范或者原则性较强缺乏可操作性、或者位阶较低不具有广泛性、或者针对特定产品适用面较窄。所以,我们应借鉴发达国家的先进经验制定有关缺陷产品召回制度的基本法律和针对特定行业的特别法律,同时建立明确的缺陷产品召回管理体系,以形成保护消费者、维护市场安全与稳定的健全的法律制度和运行机制。     

旅游业与资源型产业之间的和谐发展——兼论山西省煤炭和旅游和谐发展

旅游业是一个和谐的产业,和谐旅游是推动和谐社会建设的重要力量,而和谐旅游的实施难点在于很好地处理旅游业与资源型产业之间的摩擦.文章以山西省为案例研究了旅游与煤炭的和谐发展,总结了煤旅关系的五个本质特点和煤旅矛盾的五种表现方式,找到了煤旅和谐发展的亮点,提出了煤旅和谐发展的四种思路,认为大力发展煤炭工业和大力发展旅游产业都是山西经济发展的重中之重,发展煤炭工业可以实现社会经济的跨跃式发展,发展旅游产业可以实现经济增长方式的转变,推进社会和谐发展和可持续发展.     

深圳应更好发挥产业集群的增长引擎作用

近几年，我国各地区掀起了一股发展产业集群的热潮，这股热潮的背后也隐藏着诸多问题。本文以深圳市为例，分析了目前产业集群发展中存在的各产业集群间联系效应不强、地区间集群同构等问题，并为产业集群的进一步健康、可持续发展提出了发展链条型产业集群、互补型产业集群等相应的建议。     

国民经济优先发展行业排序方法

为优化经济发展途径 ,筛选出经济中的优势行业给予重点支持 ,是宏观经济学的重要任务。本文首先应用统计学中的主成分分析法 ,针对湖北省情况 ,对国民经济 4 0个 1级行业进行排序 ,取得符合实际的结果 ,筛选出消费优势部门及生产优势部门。     

Measuring new product success: an empirical investigation of Australian SMEs

New product development (NPD) has long been recognised as one of the corporate core functions. However, measuring new product success has remained elusive. This paper attempts to examine several conceptual issues underlining the measurement of new product success and the measurement practice adopted in Australian small and medium enterprises (SMEs). The sample included 276 SMEs from two most innovative industries: chemical and machinery industries. Results have indicated that four factors underline the commonly used success measurement: financial performance, objective market acceptance, subjective market acceptance, and product-level measures. These four factors are related to each other and can be used to well predict the overall measurement. The most frequently used specific measures in Australian SMEs are customer acceptance, customer satisfaction, product performance, and quality.     

新形势下高校房产管理改革的探讨

通过对高校后勤改革中存在的不足及工作偏差进行研究，分析了房产改革在高校后勤工作中的重要性和迫切性，指出了其中的纰漏和弊端，以及没有充分完善的地方。针对现有的弊端，提出了相应的一些解决办法和措施。高校房产管理改革重在提高房屋的使用效率及经济效益。     

Effects of Label on Consumer Preferences: Focus on Hawaiian Avocado Industry

This study examines market challenges facing a local agriculture industry in a small island setting. Examination of the Hawai‘i local avocado industry indicates labeling can address the product information gap between consumers and producers, improve market share, and increase import substitution by local products. Currently, local avocados occupy only 33% of market share, compared with 67% captured by imports. Consumer preferences among local labeled, local unlabeled, and imported avocados were analyzed using multinomial logistic regression. Statistical results showed that labels influence consumers’ decisions to buy local or imported avocados, and their preferences were also influenced by sociodemographic variables, avocado characteristics, and purchasing behavior. Key market segments to target and policy implications are also discussed.     

Determinants of Consumer Preferences for Honey in the Democratic Republic of Congo

Honey is one of the important non-timber forest products consumed in the Democratic Republic of Congo (DRC) and, as such, an important source of income for many households. However, poor knowledge of buyers’ preferences in the marketing of honey presents a major challenge to the profitability of the honey enterprises. The research presented in this article identifies key consumer characteristics that influence the preferences of honey consumers in the DRC. The primary data source used in this analysis is drawn from a survey of 214 consumers. Results show that consumers who are married and have reached at least the level of secondary education have a strong preference for local forest and savannah honey. Those between the ages of 30 and 50 do not prefer honey from beekeeping, but would rather have it imported. We conclude that segmentation of the honey market and increasing consumer awareness must go in tandem in order to develop a good marketing strategy.     

Forecasting technology diffusion: a new generalisation of the logistic model

The present research proposes a new generalisation of the logistic model aiming at technology diffusion forecasting. Regarding criticisms and failures reported in the literature to apply logistic function for long-term forecasting, in our work we focused on short-term accuracy of forecast. To formulate the model, based on mathematical approximation, at first the differential equation governing the diffusion process is found and then by solving the derived differential equation, the forecast function is obtained. In all steps, mathematical tools from numerical analysis are used. We compared the New Generalized Logistic Model with eight of the most renowned models in the literature. The model led to more accurate fits and forecasts than those obtained from other models we applied for comparison.