知识重叠、知识库特性与创新绩效

以往研究着重探讨重叠/非重叠知识在技术并购中的创新效应，然而在测度知识重叠时仅关注到数量属性而忽略了质量评估。因此，构建一个新的理论框架，利用国家知识产权局2008-2018年专利授权数据，分析217家中国机械制造企业352次国内技术并购案例，探索知识库中重叠、非重叠知识数量和质量属性对并购后创新绩效的影响。结果表明，高质量重叠知识对并购后的企业创新绩效具有正向影响，而高质量非重叠知识则有负向影响。同时，探讨知识数量对并购后创新绩效的影响。研究结果强调了知识重叠对企业获取外部知识的重要性，对企业技术并购实践具有借鉴作用。     

技术创业型企业孵化资本投入的风险管控——来自多案例对比

待孵化的技术创业型企业同时具有概念性技术向差异化产品转化的高风险与产品异质性被认同后溢价评估的高收益特点，导致其投资者多处于隔岸观火却欲罢不能的的孵化投资矛盾中。对孵化资本实施有效的风险管控，成为吸引外部资本投入的关键。基于此，选择在可创概念选育与技术创业孵化领域探索出高成功率路径的概念证明中心、YCombinator和创新工场为研究案例，分析其在创业项目筛选、孵化资金运营等关键环节的风险管控方式，以期完善我国孵化资本管控理论、助力我国商业孵化器提高资金风险管控能力、促进外部资本投入。     

The role of accelerators in firm survival: An fsQCA analysis of Italian startups

Accelerators are a recent yet rapidly growing phenomenon within entrepreneurial ecosystems. The distinctive characteristics exhibited by accelerators, relative to previous incubation models, imply that accelerators may play a different role and have a different impact on the survival rates of participating firms. In this study, we explore the relationship between participation in an accelerator program and firm survival using fuzzy-set qualitative comparative analysis (fsQCA) with key variables related to firm survival. We analyze 38 accelerated startups from five Italian accelerators and a control group of 38 non-accelerated Italian startups. Our findings support the business accelerator literature that regards accelerators as a new and distinct generation of business incubators. Our results suggest that participation in accelerator programs on its own does not influence firm survival. However, we found a relationship between firm survival and accelerated technology-based firms that do not export and between firm survival and accelerated firms in the service sector with a small team that do not export. We conclude that factors affecting the survival of accelerated firms are different from factors affecting the survival of incubated firms, providing further evidence of the characteristics that distinguish accelerators from incubators.     

锚企业与科技新城共生模式研究:以阿里巴巴和杭州未来科技城为例

以阿里巴巴和杭州未来科技城为例，采用Logistic模型探讨锚企业与科技新城共生模式，结果表明：总体而言，阿里巴巴和未来科技城属于互利共生模式，阿里巴巴成长会促进未来科技城发展，而未来科技城发展也会反哺阿里巴巴的成长。2013-2016年两者共生系数之间的差值不断缩小，表明阿里巴巴和杭州未来科技城的共生模式从偏利共生转向互利共生。     

An investigation of the moderating effects of current job position level and hotel work experience between technology readiness and technology acceptance

Rapid technology development has greatly changed the hotel structure in operation or customer relationship management. Most previous studies simply employed either the technology readiness index (TRI) or considered the technology acceptance model (TAM) to predict consumer behavior from the perceptions of consumers. Nonetheless, only limited studies, if ever any, integrated technology readiness (TR) into technology acceptance model in hospitality. Hence, to bridge the aforementioned research gap, the purpose of the present study is to advance and modify TAM by proposing a new research framework which integrates TR into TAM. Online questionnaire survey was conducted with hotel employees through a well-known survey company Qualtrics. Data were then analyzed by structural equation modelling. Findings indicate the direct relationship between technology readiness (TR) and technology acceptance (TA), and reveal the moderating effects of current job position level and hotel work experience on the proposed research framework. Implications are further discussed.     

Personalized goal-based investing via multi-stage stochastic goal programming

In this paper, we propose a goal-based investment model that is suitable for personalized wealth management. The model only requires a few intuitive inputs such as size of wealth, investment amount, and consumption goals from individual investors. In particular, a priority level can be assigned to each consumption goal and the model provides a holistic solution based on a sequential approach starting with the highest priority. This allows strict prioritization by maximizing the probability of achieving higher priority goals that are not affected by goals with lower priorities. Furthermore, the proposed model is formulated as a linear program that efficiently finds the optimal financial plan. With its simplicity, flexibility, and computational efficiency, the proposed goal-based investment model provides a new framework for automated investment management services.     

Technological adoption and use after mass market displacement: The case of the LP record

This paper investigates the reasons why some technologies, defying general expectations and the established models of technological change, may not disappear from the market after having been displaced from their once-dominant status. Our point of departure is that the established models of technological change are not suitable to explain this as they predominantly focus on technological dominance, giving attention to the technologies that display highest performance levels and gain greatest market share. And yet, technological landscapes are rife with technological designs that do not fulfil these conditions. Using the LP record as an empirical case, we propose that the central mechanism at play in the continuing market presence of once-dominant technologies is the recasting of their technological features from the functional-utilitarian to the aesthetic realm, with an additional element concerning communal interaction among users. The findings that emerge from our quantitative textual analysis of over 200,000 posts on a prominent online LP-related discussion forum (between 2002 and 2010) also suggest that the post-dominance technology adopters and users appear to share many key characteristics with the earliest adopters of new technologies, rather than with late-stage adopters which precede them.     

跨国公司研发投资技术外溢效应探究:浙江案例

近年来,浙江吸收的跨国投资在促进产业结构升级、推动经济增长方式转型方面具有独特的优势。本文综合运用相关理论,通过实证研究,对跨国公司研发投资的技术外溢效应进行了实证分析。本文创新点在于,外溢效应的大小,更多地取决于本土企业竞争力的强弱,只有不断增强本地企业的技术创新能力,才能吸收跨国企业的技术外溢效应。     

Economic convergence: Policy implications from a heterogeneous agent model

In this paper we study the effectiveness of different types of cohesion policies with respect to convergence of regions. A two-region agent-based macroeconomic model is used to analyze short-, medium- and long-term effects of policies improving human capital and fostering adoption of technologies in lagging regions. With fully integrated labor markets the human capital policy positively affects the economically stronger region but reduces production in the targeted weaker region. Subsidies for high technology investment in the weaker region have a positive local output effect and a negative effect on the neighboring region, thereby fostering convergence. When labor markets are not integrated both policies support convergence.     

Technology fusion: Identification and analysis of the drivers of technology convergence using patent data

The concepts of technology convergence or technology fusion describe the phenomenon of technology overlap. Despite evidence of the higher value associated to interdisciplinary research and cross-industry innovation, few studies have investigated the characteristics of technology fusion based on patent data. This study identifies new cases of convergence relying on the International Patent Classification (IPC) of patents filed at the European Patent Office between 1991 and 2007: the first occurrence of a patent incorporating a combination of IPC subclasses signals a new instance of fusion. Duration models are employed to investigate the impact of field level characteristics derived from patent bibliometrics on the likelihood of identifying a new fusion. The results show that merges are more frequent if the focal technology fields are closely related (based on a higher number of cross citations), are characterized by wide technological scope, and are the result of an inter-firm collaboration. In contrast to previous findings, the results show that the more complex the technologies involved, the less the likelihood of their convergence or fusion. The correlation between fusion likelihood and the characteristics of the merging fields could help managers and policymakers to predict the emergence of new technology areas.