The Effects of Market Network Heterogeneity on Innovation Diffusion: An Agent‐Based Modeling Approach

Innovations usually have an initial impact on very few people. The period of learning or early evaluation precedes the diffusion of the technology into the wider addressed population. More than a transfer, this is best characterized as communication of benefits, costs, and compatibility with earlier technologies and a relative assessment of the new state of the art. Innovation development by an organization or individual creates not just a device (i.e., process or tacit knowledge) but concomitantly a capacity on the part of other organizations or persons to use, adopt, replicate, enhance, or modify the technology, skills, or knowledge for their own purposes. How innovations actually diffuse is to understand the communication of progress, and this framing helps one to design innovations and also design the marketing and testing programs to ready innovations for market and launch them efficiently. Diffusion theory's main focus is on the flow of information within a social system, such as via mass media and word‐of‐mouth communications. This theory presents often in the form of mathematical models of innovation and imitation. Distinct from classical diffusion models, however, consumers are not all identical in how they connect to others within a market or how they respond to information. We examine the effects of various network structures and relational heterogeneity on innovation diffusion within market networks. Specifically, network topology (the structure of how individuals in the market are connected) and the strength of communication links between innovator and follower market segments (a form of relational heterogeneity) are studied. Several research questions concerning network heterogeneity are addressed with an agent‐based modeling approach. The present study's findings are based on simulation results that show important effects of network structure on the diffusion process. The ability to speed diffusion varies significantly according to within‐ and cross‐segment communications within a heterogeneous network structure. The implications of the present approach for new product diffusion are discussed, and future research directions are suggested that may add useful insights into the complex social networks inherent to diffusion. A simple summary is that discovery of significant prime communicator nodes in a network allows innovation development practices to be better calibrated to realistically multiple market segments.     

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新能源产业发展要处理好若干关系

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试论清代康熙时期河工防洪的经济责任追究

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比较优势、竞争优势与河南省制造业结构现状及其优化

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美国对华直接投资对中国技术进步和产业竞争力的影响

20世纪90年代以来美国对华投资发展迅速,投资规模不断扩大,在华子公司引进技术的水平也呈不断提高态势。从美国对华投资的特点来看,其主要集中在技术密集型和资本密集型产业。而且,美国对华投资以市场寻求型为主,研发当地化以适应国内市场的需求就成为其必然选择。本文将在简述美国对华投资企业技术特点的基础上,分析其对中国技术进步以及产业竞争力提升的影响,为中国在引资过程中趋利避害提供理论参考。     

武汉总部经济的发展与中部崛起

总部经济有明显的经济效应,研究武汉总部经济的发展对促进武汉经济竞争力的提升和中部崛起具有重大现实意义。本文从总部经济的成因和形成条件入手,重点分析了武汉发展总部经济的优势和瓶颈,提出了发展武汉总部经济的对策建议。