Collaborative apparel consumption in the digital sharing economy: An agenda for academic inquiry

While apparel businesses leveraging the sharing economy have begun to emerge in recent years, academic research on “sharing” consumption for apparel is extremely limited. To fill this research gap, the researchers analyze current literature to present a conceptual framework that offers a durable theoretical foundation about the concept of collaborative consumption for apparel. Using a metatheory approach, the researchers develop a framework that explores how two major Internet‐supported collaborative consumption modes (utility‐based nonownership and redistributed ownership) manifest in an apparel context. Next, the researchers explore the implications of each consumption mode to understand the consumer's relationship with the product, peers, and businesses involved in these sharing schemes. A series of research propositions are also developed to stimulate discussion and future research about collaborative apparel consumption.     

Online Purchase Paths and Conversion Dynamics across Multiple Websites

Low transportation costs online allow shoppers to visit multiple e-commerce sites for a purchase decision. This research investigates online shoppers’ visit and purchase behaviors across competing websites. To consider that shoppers’ longitudinal cross-site visit data may consist of several unobserved shopping episodes, we propose a modeling approach to probabilistically clustering and relating online visits to latent shopping episodes, based on the temporal patterns of the visit events. The inferences are then used to examine shoppers’ visit-to-purchase behavior across websites. Using Internet clickstream data on individual-level browsing and transaction records at major air travel sites, we find that online shoppers’ cross-site visit patterns tend to be clustered and the purchase propensity is significantly higher at later visits within a visit cluster, compared to earlier visits. As our results suggest the possibility that visit clusters can serve as a reasonable proxy for shopping episodes, we look further into shoppers’ website choice and purchase behaviors within a cluster. We discuss how the cluster-based analysis can help managers tailor online marketing and advertising strategies based on shoppers’ cross-site visit and purchase patterns.     

电子商务调查系统中的模糊综合评价应用

电子商务调查系统是基于Web界面的跨平台应用系统,能向Internet用户提供交互式、个性化的问卷调查服务。本文采用模糊综合评价方法进行在线调查评价,是企业营销、推广产品化服务、了解客户需求方面的重要手段,也是网络互动的功能之一。对于企业的发展具有重要的参考价值。     

电子商务税收问题及其相关对策

电子商务是知识经济时代未来贸易的发展方向,它在改变传统贸易方式,给企业提供更多商机的同时,也因其本身具有的交易虚拟化、跨时空、高流动性的特点对地方税制及税收征管等造成了很大的冲击,产生了许多新的问题。因此,应在电子商务税收政策方面及税收征管方面采取相关措施,使其进一步完善。     

国际联盟中的知识获取：中国企业联盟经验和合作技能的作用

国际战略联盟已成为中国企业获取国外先进知识的理想途径。但是实践中利用国际联盟获取知识的努力却很难达到预期效果。文章探讨联盟经验和合作技能对知识获取的影响。文章结论是：企业的一般联盟经验有利于其合作技能提高和获取知识;而企业的联盟伙伴专有经验影响较为复杂,随着联盟伙伴专有经验的丰富,其对合作技能和知识获取的影响呈现先边际递减趋势。只有当联盟经验转变为企业的合作技能时,才能更好地获取知识。     

产业链整合对建筑工业化协同创新绩效的影响研究

市场竞争日趋激烈，创新过程日益复杂，协同创新成为主流的创新范式。而我国建筑工业化正处于创新驱动发展不足的初级阶段，如何通过产业链整合实现建筑工业化的协同创新，进而提高创新绩效是值得研究的问题。本文从产业链整合着手，探讨建筑工业化的技术链整合、产品链整合、创新协同性、创新绩效之间的相互影响关系。首先根据理论分析提出假设，然后运用26家代表性企业的278份问卷作为样本数据进行验证。实证分析表明：产业链整合对创新协同性、创新绩效均有正向显著作用；技术链整合在产品链与创新协同性之间、创新协同性在产业链整合与创新绩效之间起完全中介作用；政策在产品链整合与创新协同性之间起正向调节作用，而在技术链整合与创新协同性之间的调节作用却不显著。研究结论对于建筑工业化政策制定、产业链完善、企业管理等方面具有重要意义，同时展望了需要进一步关注的方向。     

基于多元结构的旅游供应链协调机制研究

根据组织协作观点与步骤选取了合适的协作者、协作要素；摒弃了旧有的供应链的唯一机制，运用包含服务、资料、金钱、知识的多样化机制合理地调整了旅游供应链；鉴于旅行社与政府在调整供应链上存在的不足，给出了微观与宏观相融合的协调机制；在分析当前旅游供应链中常见的折扣价格合约制度后，建立了全新的收入分配体系，目的在于鼓励提供旅游产品的供应者；在分析旅游供应链利得产品驱动模型后，给出了产品的推拉协调一致的模型。     

协同创新组织模式与运行机制的国内外研究综述

在创新驱动背景下，产业升级和经济发展需要实行有效的协同创新。但受限于不适合的合作形式，不完善的运行机制等，现有协同创新效果不明显，协同创新组织模式和运行机制成为学术界研究的重点。本文通过国内外文献回顾，对协同创新的概念界定、协同创新组织模式、协同创新运行机制进行梳理和评述，厘清该领域已取得的研究进展、研究的局限和未来研究的方向，以期为未来研究提供参考。     

电子商务专业教育教学创新模式探索

对目前我国高校电子商务专业教学中存在的问题进行了研究探讨,结合用工单位的现实需求,有针对性地提出加强师资队伍建设、深化教学课程改革、创新课程教学方法、加强实习基地建设、加大校企合作力度等提升电子商务教育教学效果的对策建议。     

Differential Impact of Web and Mobile Interactivity on E-Retailers' Performance

This study investigates the differential impact of machine and person interactivity on both Web and mobile interfaces on e-retailers' operational and financial performance. Based on data from 463 large e-retailers in the United States and Canada, interesting findings are obtained indicating that Web machine interactivity and mobile person interactivity have significantly positive impacts on e-retailers' operational performance, whereas Web person interactivity and mobile machine interactivity do not. Furthermore, machine interactivity on a Web interface (i.e., Web machine interactivity) has a stronger impact than machine interactivity on mobile interfaces (i.e., mobile machine interactivity), and person interactivity is more influential on mobile interfaces (i.e., mobile person interactivity) than on Web interfaces (i.e., Web person interactivity). E-retailers' operational performance is found to have a significantly positive impact on e-retailers' financial performance. Overall, this study provides in-depth insights into the differential roles of machine and person interactivity on Web and mobile interfaces in affecting e-retailers' performance. Implications for research and practice as well as suggestions for future research are discussed.