Effects of hiring former employees of multinationals in the absorptive capacity of local firms

The attraction of foreign direct investment seeks, among other things, to increase the productivity of local companies through knowledge spillovers. However, the empirical evidence in this regard is contradictory. One influential factor is the absorptive capacity of the local companies. This article analyzes the effect of the presence of former employees of multinational corporations as employees of local companies, on the absorptive capacity of said companies. The study was done in Costa Rica, a country known for its successful strategy in the subject matter. The data come from a survey applied to 1167 companies by the Observatorio Costarricense de las Pymes in 2011. It was found that the hiring of former employees of multinational corporations by local companies has a positive effect on the index of absorptive capacity of companies in all productive sectors. Specifically, this hiring of former employees increases the index of absorptive capacity by nine percentage points, with differences by sector and the size of the company.     

DIY: How internationalization shifts the locus of indigenous innovation for Chinese firms

We elaborate theories of indigenous innovation by explaining how internationalization choices help emerging market firms transition from dependence on external knowledge to self-reliance on internal knowledge. Using a 1998–2007 census dataset of Chinese manufacturing firms, we theorize and test the moderation effect of foreign equity and export orientation on the relationship between knowledge and indigenous innovation. We show that foreign equity dis-incentivizes, while export orientation incentivizes, investments in internal knowledge. We contribute by showing that internationalization choices may radically change indigenous innovation outcomes by shifting the locus of problem solving outside or inside the firm. Our study corroborates the negative direct and indirect effects of external knowledge on indigenous innovation at the firm level previously suggested by China-centric scholars but also shows how two types of internationalization choices may gradually relieve firm-level dependence on imported technology. We bridge the gap between Western research and Chinese thought and practice by introducing a do-it-yourself (DIY) explanation of how firms may implement China’s indigenous innovation (zizhu chuangxin) policy.     

Redefining rural prosperity through social learning in the cooperative sector: 25 years of experience from organic agriculture in Spain

In the political system and in public perception, the well-functioning of economy is frequently equalled to the output of the national economic system. However, during the last decades, this narrow conception of economic prosperity started to erode. This paper is based on a rural prosperity conceptual framework that takes into account the systemic nature and dynamics of interactions and impacts within rural systems through the analysis of an organic agriculture cooperative called Camposeven in the south east of Spain. The focus is on rural prosperity, differences in understanding, related parameters and strategies used by the cooperativés farming partners to success without following the traditional conventions of economic growth and farm-efficiency. Experience lessons in this paper demonstrate that the “technical-economic” approach of rural prosperity is not sufficient and results emphasize the important role of individuals’ behaviour as well as the contexts in which they are involved. The findings point to the increasing relevance of expanding both the theory and practice of rural prosperity approaches in sustainable rural development. This is important in order to enrich the connections between rural prosperity and other concepts such as social capital, innovation, social learning and resilience.     

Subsidiary managers’ knowledge mobilizations: Unpacking emergent knowledge flows

Knowledge flows are a key source of advantage for multinational corporations (MNCs); however the nuances of knowledge flow practices and their micro-foundations require further theoretical development. Using qualitative data on 40 cases of subsidiary managers’ knowledge mobilizations, this paper unravels micro-level practices of knowledge flows in MNCs. We find that subsidiary managers’ knowledge mobilizations initiate a complex pattern of subsidiary knowledge inflows, pinpointing the significance of lateral and bottom up exchanges (locally as well as internationally). We use these insights to distinguish between two types of subsidiary knowledge flows: deliberate and emergent, and discuss how their differences have profound implications for the investigation of MNC knowledge flows and their micro-foundations.     

Strategic location choice under dynamic oligopolistic competition and spillovers

This paper investigates firms׳ optimal location choices explicitly accounting for the role of inwards and outwards knowledge spillovers in a dynamic Cournot oligopoly with firms that are heterogeneous in their ability to carry out cost-reducing R&D. Firms can either locate in an industrial cluster or in isolation. Technological spillovers are exchanged between the firms located in the cluster. It is shown that a technological leader has an incentive to locate in isolation only if her advantage exceeds a certain threshold, which is increasing in firms׳ discount rate, in industry dispersion, and in the intensity of knowledge spillovers. Scenarios are identified where although it is optimal for the technological leader to locate in isolation, from a welfare perspective it would be desirable that she locates in the cluster.     

Classification of micro,small and medium enterprises (M-SME) based on their available levels of knowledge

This paper proposes a novel and practical method of classifying micro, small and medium enterprises (M-SME) based on their available levels of knowledge. This classification considers that the specific problems that dominate a company’s operations are related to the level of knowledge available. Therefore, identifying the dominant problem groups facing the company can enable an estimate of the level of knowledge available in the enterprise.Data from 2698 Mexican M-SMEs are used to identify operational problems. The main problem groups are obtained through a cluster analysis. The proposed classification consists of three levels of knowledge based on the interpretation of the dominant problem groups in each enterprise. Each of the 2698 Mexican M-SME are classified by a discriminant analysis.Nearly half of the M-SME are classified as having a lower level of available knowledge, and only 10% are classified with the highest level. No difference is observed between the size of the company and the level of available knowledge. This means that growth in the number of employees and sales of M-SMEs is not necessarily accompanied by an accumulation of knowledge that companies can use to improve their operations.     

Firm heterogeneity, productivity and spatially bounded knowledge externalities

In this paper, we argue that conceptually disentangling the ‘context versus composition’ aspects of regional growth is a multilevel issue. By applying multilevel models (also called random-effects models), we show (1) the importance of considering firm-specific characteristics simultaneously with region-specific characteristics, as we find that a large part of what is traditionally assigned to the impact of the region should be assigned to firm-specific characteristics and (2) that existing single-level methodologies can be problematic, as they are vulnerable to the charge of estimating significance levels that are too liberally assigned and promote exaggerations. This is illustrated empirically by showing that single-level approaches would lead to the conclusion that innovation spillovers are highly significant in a setting of Dutch urban growth differentials, while multilevel analyses shows less liberally assigned significance levels. We conclude that multilevel-effect models better fit research questions that combine firm and spatial characteristics simultaneously, especially because they allow firm-specific characteristics to be differently linked to their regional contexts.     

DM技术及其在数据处理中的应用

简要介绍了DM(数据挖掘 )及其工作过程 ,并指出了数据挖掘过程中应注意的问题 ,最后给出了一个具体的数据挖掘的例子     

知识流通与创新绩效关系研究--以在孵科技型小微企业为例

为探讨知识流通对科技型小微企业创新绩效的影响以及组织学习能力对其影响的调节效果,文章首先对知识流通和学习能力的相关研究文献进行了综述,设计了知识流量、创新绩效、知识专精度、组织学习能力等变量的量表,在此基础上,对科技企业孵化器中的237家在孵科技型小微企业进行了实证研究。研究结果显示,在孵科技型小微企业所能获得的知识流量越大,且知识专精度越高,越能提升企业的创新绩效;组织学习能力对于企业知识流通与创新绩效中的组织绩效和战略绩效具有正向的调节作用;建议科技企业孵化器应充分利用所掌握的资源与知识,以提升两者之间的知识流通。     

知识系统跨越式升级中政府的作用研究--基于产业集群知识系统的分析

引领科技发展的新创知识虽然是未来经济社会发展的动力源泉,但由于缺乏市场的长期检验,这类新创知识早期应用成本和风险均较高,导致集群企业很难主动接受。文章在相关文献综述的基础上,阐释了集群知识系统运行的基本假设,构建了一个基于传染病模型的政府参与的集群知识扩散模型,通过数理推导发现,无论产业集群内现存知识的传播再生数多大,政府宏观调控和激励政策在集群内新创知识推广和应用过程中的作用显著,能够加快集群内知识系统的跨越式升级,最后文章提出了促进集群内新创知识应用的政策建议。