分销渠道网络化变革及其作用机理研究

随着环境的变化,企业分销渠道正在变得更为灵活和能够更快地响应用户需求,而传统分销渠道的运作模式与特征显然很难满足分销渠道变革的新要求.现在的分销渠道日益演变成为一个跨越企业边界的网络组织,分销渠道网络化与分销网络的形成也逐渐成为分销渠道演化与变革的一个趋势,这种趋势是渠道系统内部与外部环境因素共同作用的结果.     

Fashion retail forecasting by evolutionary neural networks

Recent literature on nonlinear models has shown that neural networks are versatile tools for forecasting. However, the search for an ideal network structure is a complex task. Evolutionary computation is a promising global search approach for feature and model selection. In this paper, an evolutionary computation approach is proposed in searching for the ideal network structure for a forecasting system. Two years’ apparel sales data are used in the analysis. The optimized neural networks structure for the forecasting of apparel sales is developed. The performances of the models are compared with the basic fully connected neural networks and the traditional forecasting models. We find that the proposed algorithms are useful for fashion retail forecasting, and the performance of it is better than the traditional SARIMA model for products with features of low demand uncertainty and weak seasonal trends. It is applicable for fashion retailers to produce short-term retail forecasting for apparels, which share these features.     

旅游个性化推介服务的未来发展：时空一体化

文章在问题解决策略剖析基础上,指出了旅游个性化推介服务的未来发展方向：时空一体化,并认为旅游网站、LBS网站和ESNs3种平台的整合会成为发展的突破点。以携程网、人人网、切客网等20多个代表性旅游网站、ESNs和LBS网站统计数据为基础,分析了3类平台当前的发展状态,发现3种平台具有趋向融合的发展态势,阐明了旅游个性化推介服务向时空一体方向发展的信息化基础。设计了“信息检索、个性旅行计划辅助决策、动态结伴同游、商务推介、景区导航、导游实时到岗服务、会员口碑推介、旅游预警”等8项时空一体个性化服务内容,是对旅游电子商务、旅游信息化未来发展方向的前瞻性思考。     

基于时间序列的BP神经网络预测鄂尔多斯市的GDP

国内生产总值(GDP)是制定经济发展战略、规划、年度计划以及各种宏观经济政策的重要依据,研究GDP预测方法具有重要的现实意义。在对鄂尔多斯市GDP数据序列分析的基础上,考虑到BP神经网络可以通过简单非线性函数的复合能够实现对于复杂函数的映射,本文采用BP神经网络方法来预测鄂尔多斯市的GDP,取得了较好的预测效果。     

Fostering entrepreneurship in distressed urban neighbourhoods

During the last decade entrepreneurship research has focused increasingly on spatial aspects of entrepreneurship. Many systematic studies have been conducted on the national or regional scale, although other geographical scales—cities and their single districts and neighbourhoods—have drawn less attention. In this context, the paper aims, firstly, at identifying spatial success factors of entrepreneurial activities and their promotion at the local scale. Secondly, the paper aims at contributing to the development of a conceptual frame at the interface of entrepreneurship research, urban and economic geography, and regional economics. Empirically, the paper draws on results from explorative case studies in two distressed urban areas.     

The opportunity not taken: The occupational identity of entrepreneurs in contexts of poverty

Innovative entrepreneurship is an essential but often missing outcome of poverty alleviation efforts. This qualitative study set in rural Ghana explores the occupational identity of entrepreneurs, the institutions that shape it in isolated “island networks”, and how it influences entrepreneurs' practices and decisions. We find that the institutional forces of “collectivism” and “fatalism” feature prominently. Being an entrepreneur in such settings means being a mentor, market link, and community safety net, and the types of opportunities entrepreneurs pursue are largely seen as pre-destined and inherited rather than individually chosen. As a result, the pursuit of innovative opportunities may be significantly limited.     

基于BP神经网络的征地区片综合地价评估

文章提出了征地区片综合地价的BP神经网络系统的基本构造,并在充分考虑城市规划和生活水平对征地区片土地价格影响的基础上,对神经网络的评估系统进行了设计.给出了征地区片综合地价评估的指标体系及特征指标的量化计算公式.以雅安市雨城区最新的征地区片综合地价为基础,利用改进的BP神经网络模型对它们进行了训练和模拟,取得了良好的模拟结果,证明了ANN法用来测算征地区片综合地价的可行性和先进性.     

Informational Networks, Entrepreneurial Action and Performance

This paper develops a model that incorporates personal and business networks, firm action, and performance based on the existing literature. It explores the links between information and entrepreneurial-type action, and action and performance. Survey data was collected from a sample of 100 manufacturing firms in Thailand. Results show that entrepreneurs value the information they receive from their networks. However, there is little statistical support for tangible links between personal or business networks and entrepreneurial action and performance, or between action and performance.     

Beyond ‘know-what’ and ‘know-how’ to ‘know-who’: enhancing human capital with social capital in an Australian start-up accelerator

Abstract

This study investigates the enhancement of human capital with social capital in a start-up accelerator and how this integration affects the entrepreneurial learning experience. In particular, it examines the relative importance of the three components ‘know-what’, ‘know-how’ and ‘know-who’. The study involved thematic analysis of semi-structured interviews with participants in an Australian start-up accelerator that is delivered using ideas such as Design Thinking, the Business Model Canvas and Lean Start-up methodology. We find that although the programme emphasised ‘know-what’ and ‘know-how’, ‘know-who’ was most significant for participant learning. The results indicate that mentors and experts were especially helpful in shaping learning and in developing entrepreneurial networks. Moreover, our results show that the processes of ‘know-what’, ‘know-how’ and ‘know-who’ are interrelated – by knowing ‘who’, participants learnt ‘what’ and ‘how to’ through social learning. The research contributes to entrepreneurial learning theory and application particularly in the Asia Pacific context, by providing evidence that ‘know-who’ closes the learning loop for ‘know-what’ and ‘know-how’ as ‘know-who’ can actually provide entrepreneurs with the means to enhance their entrepreneurial self-efficacy.     

Do online hotel rating schemes influence booking behaviors?

Travelers’ hotel booking behaviors increasingly depend on peers' opinions and online ratings. This study investigates the effects of online hotel ratings on travelers' attitudes toward the hotel and booking intentions, using a 2 × 2 experimental research design. The results suggest that online rating lists are more useful and credible when published by well-known online travel communities (e.g., TripAdvisor). More favorable attitudes toward a hotel and higher booking intentions emerge when the hotel appears in best hotels lists. Finally, for the entries on best hotels lists, better attitudes and higher booking intentions result if the list is published on a well-known online travel community (Tripadvisor), whereas for entries on a worst hotel list, attitudes and booking intentions decrease even further if the list appears on TripAdvisor.