International gatekeepers: How to integrate domestic networks and international relations

This research evaluates how firms develop an intermediary role, connecting their international experience with knowledge provided by the domestic network. These firms act as international gatekeepers, providing valuable knowledge about distant markets to their partners in the domestic network. By adopting a network perspective, we mapped from whom the firms obtain knowledge or the kind of relationship that each firm establishes with other members of the network, disentangling how the gatekeeper can, in fact, integrate international and domestic networks. Empirical evidence indicates that gatekeepers develop a domestic network based on closed relationships with domestic partners that have central positions but are not a real threat for them.     

基于BP神经网络的工程造价估测方法

本文把信息扩散原理和神经网络相结合,提出一种工程造价的估测方法,并给出计算实例。     

Conformism and diversity under social learning

Summary. When there are competing technologies or products with unknown payoffs an important question is which technology will prevail and whether technologies with different payoffs can coexist in the long run. In this paper, we use a social learning model with local interactions to study this question. We show that the adoption of technologies as well as the prospects of conformism/diversity depend crucially on the nature of interaction between individuals and the heterogeneity of preferences in a society. Received: May 10, 1999; revised version: February 4, 2000     

Social capital in the growth of science-and-technology-based SMEs

There is increasing evidence of the positive role social capital plays in accessing resources and capabilities from and with other actors, and in establishing and maintaining business relationships. Yet, surprisingly little is known about how an organization's social capital and its utilization evolve over time. Focusing on this gap, this paper explores the role of social capital and its structural, relational and cognitive dimensions in the growth of science-and-technology-based SMEs. On the basis of our studies on social capital, entrepreneurial networks and SME growth, we develop a conceptual framework to describe their development through four overlapping phases, each of which involves different managerial tasks: innovation assessment, offering development, commercialization and rapid growth. The results of our longitudinal multiple case studies show that; (i) different types of networks and relationships are important in the transitional periods between the growth phases; and (ii) the role of social capital and its different dimensions varies in developing, maintaining and utilizing these partnerships and network relationships. These findings offer several managerial implications.     

Internet peering as a network of relations

This paper applies results from recent theoretical work on networks of relations to analyze optimal peering strategies for asymmetric Internet Service Providers (ISPs). From a network of relations perspective, ISPs’ asymmetry in bilateral peering agreements need not be a problem, since when these form a closed network, asymmetries are pooled and information transmission is faster. Both these effects reduce the incentives for opportunism in general, and interconnection quality degradation in particular. The paper also explains why bilateral monetary transfers between asymmetric ISPs (Bilateral Paid Peering), though potentially good for bilateral peering, may have negative effects on the sustainability of the overall peering network.     

Institutions and entrepreneurship development in Russia: A comparative perspective

In this paper we use a comparative perspective to explore the ways in which institutions and networks have influenced entrepreneurial development in Russia. We utilize Global Entrepreneurship Monitor (GEM) data to study the effects of the weak institutional environment in Russia on entrepreneurship, comparing it first with all available GEM country samples and second, in more detail, with Brazil and Poland. Our results suggest that Russia's institutional environment is important in explaining its relatively low levels of entrepreneurship development, where the latter is measured in terms of both number of start-ups and of existing business owners. In addition, Russia's business environment and its consequences for the role of business networks contribute to the relative advantage of entrepreneurial insiders (those already in business) to entrepreneurial outsiders (newcomers) in terms of new business start-ups.     

The influence of firm,industry and network on the corporate social performance of Japanese firms

We develop and test the thesis that corporate social performance (CSP) constitutes a socially constructed and shared strategic asset, which is not only influenced by factors specific to a firm, but also by the social performance of firms in its industry and inter-corporate network. Using variance decomposition, we analyze data from 130 large Japanese firms and find that both firm-specific and industry-level factors account for significant variance in CSP, but network-level factors do not.

Understanding the impact of host facial characteristics on Airbnb pricing: Integrating facial image analytics into tourism research

People rapidly and subconsciously process information from facial images. On sharing economy platforms, facial cues can provide a useful supplement to other information provided by reputation systems. Previous small-scale, rater-informed studies examining trust and attractiveness based on facial features on Airbnb found mixed support for impacts on pricing. We re-examine their impact using deep learning to classify host faces for an extensive data set of Airbnb accommodation in 10 US cities (n = 78,215). Together, trust and attractiveness contribute to almost a 5% increase in prices for Airbnb accommodation. We also test Gray's theory of motivation via the examination of pricing for different types of accommodation, finding that trust is more important in situations of smaller accommodation shared with strangers. The paper concludes with limitations and implications for research and practice.     

An analysis model of tourism academic networks: a Swedish case study triangulated with an EU research project

The purpose of this research is to investigate and develop an analysis model of a tourism department network using an explorative approach. Strategic stakeholders have been identified for the tourism department and organised into partner groups. An analysis model has been developed based on four network types: formal organisation, informal organisation, formal individual and informal individual. For every type, the following six network content dimensions were found relevant to analyse: stakeholders, reciprocal relations, relation exchange, network driving forces, network management and network purpose. The investigations have shown some focused network strengths such as network permanency, with corresponding weaknesses such as rigid relations. Some typical implications of the strengths and weaknesses for the department have been identified, and some network techniques to handle the implications have been proposed. An annual network development process for a tourism department is suggested. The resulting network is summarised as the Professional Tourism Academic Network (PTAN).     

Development of crash frequency models for safety promotion of urban collector streets

The merits for development and application of crash frequency prediction models for safety promotion on any road type, with a focus on urban collector streets, are presented in this article. The city of Yazd, a medium-sized city in the middle of Iran, was selected as a case study and the data required for modelling crash frequencies along five collector streets comprising 31 street sections were collected. Six models including Poisson and negative binomial models and their deviations along with a hybrid artificial neural networks (ANN) model were developed to predict crash frequency along each street section. The overfitting problem was addressed using appropriate sensitivity analysis methods which were also used to identify the input variables with significant impact on the model performance. The results indicated that the developed hybrid ANN model provided the best performance in terms of accuracy and the number of input variables. The application of hybrid ANN model to evaluate the safety impacts of four different strategies, each resembled by one of the input variables of this model, indicated that these models can successfully be used for this purpose.