欧美日企业文化差异及其对地方企业网络发展的影响——以汽车产业为例

首先对比分析欧美与日本的企业文化差异,然后以汽车产业为例,探讨其企业文化差异对上海、广东汽车企业网络的影响,结果表明:欧美企业文化强调个人主义、理性主义和平等观念,而日本则强调集体主义、感性主义和等级观念;因企业文化差异,欧美跨国汽车企业与日本跨国汽车企业相比,中国本土企业进入前者组建的企业网络难度与稳定性要弱于后者,而竞争激烈程度要大于后者,且后者在海外组建地方企业网络相对前者更为迅速;尽管后者比前者对地方企业网络的创新作用要强,技术扩散更为频繁,但这仅限其“封闭的供应商网络”范围内,对中国本土企业的技术封锁更加极端.最后提出其存在的问题及相应对策.     

Technological innovation and complexity theory

Complexity theory has become influential in recent models in social science. In the context of innovations and new technologies, most applications have focused on technology adoption and technology diffusion, whereas the topic of the innovation process has received less attention. This paper discusses three families of complexity models of technological innovation: fitness landscape models, network models and percolation models. The models are capable of analysing complex interaction structures (between components of technologies, between agents engaged in collective invention) while avoiding ‘over-parameterisation’. The paper ends with discussing the methodological challenges and critiques regarding the application of complexity theory that remain.     

Innovation,embeddedness and policy: evidence from life sciences in three UK regions

This paper draws upon a survey of the life science and biotechnology regions of Oxford, Central Scotland and South West England to examine the innovation and embeddedness traits of the regions. The insights into the compositional weaknesses and strengths of the regions suggest opportunities and threats for the future development of the UK's life sciences and biotechnology. The discussion moves forward debates on biotechnology, regional innovation, regional economic development and policy by posing research questions relating to the gap of knowledge of two under-researched regions, the need for a differentiated view of regions and a public policy approach tailored towards them, as well as the prospects of ‘engineering’ high-tech regions. Some of the highlighted policy challenges are common to the three regions, while others are region-specific and reflect the variations of regional make-up and stage of development.     

Institutionalism and Econometrics: Toward a Meaningful Synthesis

For the last twenty years, the world economy has evolved at a great speed. Every good, capital asset, and knowledge is mobile and induces more competition. Innovation in commodities is a complex process that requires more cooperation. To innovate in the knowledge economy, firms nowadays must establish “win-win situations” for individuals in creating networks. These networks are useful for firms in order to come up with innovative strategies. The building of networks enables the interactions between agents, the environment, and institutions. The interdependence of agents and institutions is not new to evolutionary theory (Commons 1931 Commons, John R. “Institutional Economics.” American Economic Review 21, 4 (1931): 648–657. [Google Scholar]; Veblen 1898 Veblen, Thorstein. “Why Is Economics Not an Evolutionary Sciences?” Quarterly Journal of Economics 12, 2 (1898): 373–397.[Crossref] , [Google Scholar]). However, I argue that institutions must be more flexible than ever before in order to help agents adapt to the modern knowledge economy. On the basis of the role of meso-networks, I propose new long-run specialization and short-run competitiveness that will promote greater efficiency and equality around the world in relation to firms and countries exporting industrial goods into world markets. Within the innovative networks, I analyze the role of two different actors: (i) the “economic leader” who has a long-run strategy and (ii) the “go-between leader” who knows how to diffuse “useful information” to actors to help them innovate in new products, services, or processes.     

An agency model to explain trade credit policy and empirical evidence

This article explains trade credit policy based on the agency theory. According to this theory, we have developed an agency model based on the adverse selection and moral hazard phenomena arising from the relation between sellers and buyers. This model has been estimated by using panel data methodology applied to UK companies. Our findings strongly support the model proposed. We find that smaller firms, those with a smaller proportion of fixed assets, and those that are less profitable extend more trade credit, whereas firms with a high proportion of variable costs and high percentage of bad debts extend less.     

＂A Raft in the Stormy Sea＂： New Roles,New ＂Dresses＂ Operating in ＆ for Business Networks

This paper aims to discuss the development and functioning conditions of business networks. After recalling the main characteristics of post-fordistic environment and comparing it to a ＂stormy sea＂ （section one） of the paper focuses on the idea of networks described as ＂rafts＂ useful to firms to build their own competitive advantages. In fact, while theoretical knowledge is not so valuable because everybody can have it, practical and contextual knowledge is specific and therefore it can be defended. The development of a contextual knowledge is feasible if the firm chooses among all the possible alternatives. Subsequently in section two, it shows how fordistic principles eliminate space, reduce time, and increase the speed of communication among individuals and as entering a network has become a necessity as it allows a firm to obtain competitive advantages. The greatest benefit is the chance to share the task of creating new knowledge among different members. In section three it is discussed if navigation in the post-fordistic stormy sea could take advantage from the existence of a more certain regulation. It is necessary to underline that positive law is not a post-fordistic tool. There is no satisfactory detailed law regarding ideas, knowledge, and know-how, by now. Therefore, it is not possible to rely on a specific regulation framework to protect knowledge found on the network. In conclusion in section four, the work discusses how single organizations need to reach the ＂raft＂--which is the network--through the idea of sharing learning and distinguishing elements necessary to survive in the stormy sea post-Fordism environment. Lastly, section five would be analyzed a public institution--Milan Chamber of Commerce--which has ＂changed its dress＂ to more effectively perform its support role to firms.     

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。     

The problem of employees' network centrality and supervisors' error in performance appraisal: A multilevel theory

This article reveals an unexplored paradox for HR managers: the centrality of an employee in the social network benefits performance but hampers performance appraisal because it affects supervisors' rating errors. Central employees can be erroneously rated high on performance even when they are not high performers because supervisors tend to overappraise their performance. A distinction is made between rating precision, which depends on supervisors' uncertainty regarding employees' performance, and rating accuracy, which depends on supervisors' bias in favor of employees. Employee centrality is posited to be beneficial to precision but deleterious to accuracy because it regulates the diffusion of positive information, status, and power, all of which distort supervisors' capacity and motivation to accurately appraise performance. It is then argued that rating errors caused by network centrality affect aggregate perceptions of justice in organizations. When employees are highly connected to each other in a dense network, organizations have a strong and positive justice climate. Yet when some employees are more central than others in a centralized network, organizations have a negative and weak justice climate. The article contributes to the literature because it identifies an unexplored dark side of network centrality and offers recommendations for HR managers to cope with its deleterious consequences and for scholars to study them.     

跨境电商对华商网络贸易的效应分析

在就跨境电商对华商网络贸易所具有的替代效应与互补效应进行理论分析的基础上,利用古诺模型分析市场均衡的结果及贸易效应,采用面板数据实证检验跨境电商对华商网络贸易的影响,结果表明跨境电商对华商网络贸易的互补效应大于替代效应：一方面,由于华商网络对出口贸易的影响尤为显著,而跨境电商平台又以出口贸易为主,从而跨境电商对华商网络出口贸易的影响较大;另一方面,跨境电商平台偏向于差异化产品贸易,因而跨境电商对差异化产品的华商网络贸易有着较大影响。也就是说,跨境电商对华商网络贸易的互补效应在出口贸易与差异化产品贸易上表现得尤为显著。     

The Economics and Bioeconomics of Folk and Scientific Classification

Synopsis This paper is the product of a collaboration between a biologist (Ghiselin 1997) who works on the philosophy of classification and an economist (Landa 1981, 1994) who works on the ‘Economics of Identity’: how and why people classify people based on identity in the context of a theory of ethnic trading networks. In developing the ‘bioeconomics’ (the synthesis of economics with biology) of classification, we crossed a number of disciplinary boundaries—anthropology, economics, sociology, biology, and cognitive psychology including evolutionary psychology’s ‘fast and frugal’ heuristics. Using a bioeconomics approach, we argue that folk classifications—the classifications used by ordinary persons—have much in common with scientific classifications: underlying both is the need for economy of information processing in the brain, for the efficient organization of knowledge, and for efficiency of information acquisition and transmission of information to others. Both evolve as a result of trial and error, but in science there is relatively more foresight, understanding, and planning.