市域协同创新水平动态评价及可视化分析

相较于省域协同创新水平评价,市域层面动态评价结果更能展现区域发展特征,可视化分析能更好地反映出地区差异。基于协同创新基础、协同创新合作和协同创新产出3个维度,构建市域协同创新水平动态评价及可视化分析模型,从静态和动态角度进行整体及分项评价分析。结果表明,江苏省市域协同创新水平差异显著,存在“南高北低,两极分化”现象;南京得益于其丰富的政治、经济、教育资源,协同创新水平最高;苏州居苏南最高,经济环境和沪宁辐射推动其协同创新发展;徐州赶超部分苏南城市,与其区位优势和教育资源密不可分。将时间因素纳入动态评价方法,并采取多种可视化方式呈现结果,提高差异辨析速度和效率。     

知识密集型服务业协同创新系统模型及运行机制研究

在知识、智慧等诸多协同因素引发服务业提升与创新的时代,协同创新正日益成为知识密集型服务业生存与发展的不竭源泉和动力。在对现有研究进行分析的基础上,首先总结出KIBS创新活动的内外部影响要素,其中内部影响要素包括技术、组织、文化和人力资源,外部影响要素包括客户、供应商、竞争者、大学和科研机构,然后构建了KIBS协同创新系统模型并分析其运行机制。     

国家创新体系结构比较：理论与实践双维视角

系统、直观的创新体系结构是研究国家创新体系的基础,体系中各创新要素功能定位、互动关系是分析国家创新体系运行机制的关键。通过理论分析和国际实践,提炼国家创新体系结构类型,提出“三元串联协同”和“三元并联互动”两种不同的结构框架,并进行对比研究。结果发现：两种结构不分优劣,不同结构中创新主体相同且宏观创新逻辑一致,但是创新链条数量及功能不同,对创新辅体的倚重度也不同;美国、德国等更接近“三元并联互动”体系;瑞典、中国等更接近“三元串联协同”体系;提升创新体系效能,解决“卡脖子”难题,需要优化当前创新体系结构或促进创新体系结构转型。     

基于协同创新机制的校企合作研究

为了能够行之有效地培养企业急需的技术技能型、复合技能型人才,本文以案例形式探讨了基于协同创新机制下的校企深度合作的有效模式,以满足新形势下人才培养、竞争环境和就业市场需求等方面的变化,从而支持校企互惠互利、良性发展。     

军民融合协同创新驱动产业园区高质量发展研究

军民融合产业园区高质量发展对于推进军民深度融合、在全国形成可复制可推广经验具有重要意义。军民融合协同创新通过促进新知识涌现、推进新产业集聚发展,最终汇聚经济发展新动能,驱动园区高质量发展。在提出军民融合协同创新驱动园区高质量发展的机理与组织框架基础上,将发展模式归纳为以分享经济为背景的资源共享模式、以新型研发机构为核心的第三方模式、以产业联盟为核心的产业链拓展模式和以交易平台为核心的“PPP”模式,最后提出相关对策建议。     

新医药产业协同创新结构考察

协同创新的本质是创新系统的结构构建,各创新要素之间的联结和相互作用机制决定了协同创新系统的效率。本文以江苏新医药产业为例,从创新网络的节点和创新资源两个方面分析了新医药产业协同创新的结构,并从创新网络的结构特征归纳了新医药产业协同创新的类型,最后提出应如何通过构建产业协同创新的结构来优化创新系统的效率。     

Personalized multi-period tour recommendations

During a trip planning, tourists gather information from different sources, select and rank the places to visit according to their personal interests, and try to devise daily tours among them. This paper addresses the complex selection and touring problem and proposes a “filter-first, tour-second” framework for generating personalized tour recommendations for tourists based on information from social media and other online data sources. Collaborative filtering is applied to identify a subset of optional points of interest that maximize the potential satisfaction, while there are some preselected mandatory points that the tourists must visit. Next, the underlying orienteering problem is solved via an Iterated Tabu Search algorithm. The goal is to generate tours that contain all mandatory points and maximize the total score collected from the optional points visited daily, taking into account different day availabilities and opening hours, limitations on the tour lengths, budgets and other restrictions. Computational experiments on benchmark datasets indicate that the proposed touring algorithm is very competitive. Furthermore, the proposed framework has been evaluated on data collected from Foursquare. The results show the practical utility and the temporal efficacy of the recommended tours.     

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.     

Lifestyling entrepreneurs’ sociological expressionism

This study explores the tourism host-home relationship investigated through documentary analysis of photographs choreographed through mutual negotiation between hosts and researcher (collaborative auto-driving) and participants’ spoken narratives (photo-elicitation interviews); we identify the significance for tourism product construction. Major findings concern the sociological expressionism of the tourism lifestyle entrepreneur who creates a certain personal brand identity or ‘lifestyling’ through their commercial home presentation; ‘private’, ‘inclusive’ and ‘temporal’ classification categories of hosts’ favourite spaces in the home are identified, based upon the individual spatial management strategies employed. Depictions of favourite spaces emphasised emotional and sensorial dimensions rather than material things present, and were described as spaces of contentment and tranquillity essential for energising hosts in the ongoing production of the commercial home.     

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.