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The purpose of this paper is to, built upon Johanson and Vahlne’s (2009) Business Network Internationalization Process Model, explore the role of personal networks and business networks and their impact on foreign market knowledge and performance among small and medium-sized enterprises (SMEs) after international market entry.

With a total mailing list of 2,250 US firms, data were collected via a mail survey in accordance with the methods of Dillman et al. (2008).

An empirical analysis of 105 SME cases revealed that business networks increased foreign market knowledge, which in turn also heightened the international performance of the SMEs. This confirmed the mediating role of market knowledge between business networks and international performance. Personal networks, however, provided little support in helping SMEs achieve foreign market knowledge and international performance.

This study contributes unique empirical evidence demonstrating that business network internationalization models can be applicable to the context of SMEs; that is, having access to such a network (i.e. a business network) is found to be a critical factor of international performance.

This article aims to introduce the personal knowledge network (PKN) model as an alternative model to knowledge management (KM) and to discuss whether personal knowledge management (PKM) is better adapted to the demands of the new knowledge environments. The PKN model views knowledge as a personal network and represents a knowledge ecological approach to KM.

KM and PKM have attracted attention over the past two decades and are considered as important means to increase organizational and individual performance. In this article, the author reviews previous models of KM and PKM and explores their failure to address the problem of knowledge worker performance and to cope with the constant change and critical challenges of the new knowledge era. The author further highlights the crucial need for new KM models that have the potential to overcome the shortcomings of previous models. In light of these shortcomings, the article introduces and discusses the PKN model as an alternative model to KM and PKM that is better adapted to the demands of the new knowledge environments.

Unlike traditional KM/PKM models which view knowledge as a thing or process, the PKN model views knowledge as a personal network and represents a knowledge ecological approach to KM.

The article focuses on personal knowledge and the links to networks and knowledge ecologies in an innovative way for consideration within KM.

The purpose of this paper is to test the transfer of good practices under the effect of various aspects of personal networks. Whereas, the majority of former work considers a direct effect of networks on knowledge transfer, the authors examined two intermediate mechanisms: the access to strategic resources and the individual's absorptive capacity.

A quantitative study was used to collect data, via a face‐to‐face questionnaire with key individuals in small and medium entreprises members of consortia in Tunisia. Data were analysed with a structural equations approach, based on partial least squared‐path modelling techniques.

Results emphasize the impact of network size, strength of ties and absorptive capacity on the strategic resource access and the impact of indirect ties, strength and range of ties on the absorptive capacity. Moreover, while absorptive capacity positively impacts good practice transfer, no support was found to the effect of resource access.

The main limitation of this study concerns the measuring of good practice transfer, since in literature there are often imprecise proxies. Also, while the authors have investigated the global impact of strategic resources, future research needs to treat them separately. Finally, a longitudinal study allows better capture of the evolution of the phenomenon studied.

Top management and directors at a consortium level need to pay careful attention to the social context within which knowledge transfer efforts occur. Resources exchanged and the absorptive capacity developed through social interactions must be designed to increase knowledge flows between firms.

The paper links two bodies of research often studied separately in inter‐organizational research: literature on social networks and that on inter‐organizational learning. It is hoped that the paper contributes to a cross‐fertilization of the two fields.

Personal knowledge management (KM) lends new emphasis to ways through which individual knowledge workers engage with knowledge in organizational contexts. This paper aims to go beyond an organizational approach to KM to examine key personal KM and knowledge building (KB) practices among adult professionals.

This paper presents a summary of the findings from interviews with 58 consultants from 17 managing consulting firms. Participants were selected based on their knowledge-intensive roles and their willingness to share information about their knowledge practices. Data analysis was inductive and revealed multiple personal KM activities common among research participants, and the way these are supported by informal ties and various technologies.

This work highlights ways in which “shadow information technology” undergirds personal knowledge infrastructures and supports KM and KB practices in the context of management consulting firms. The results uncover how personal knowledge infrastructures emerge from personal KM and KB practices, and the role of informal social networks as well as social media in supporting personal KM and KB.

This study contributes an overall conceptual model of factors that help knowledge workers build a personal knowledge infrastructure. By affording an understanding of socially embedded personal KM activities, this work helps organizations create a balance between KM strategies at the organizational level and personal knowledge goals of individual workers.

Much of the previous research on KM adopts organizational approaches to KM, accentuating how organizations can effectively capture, organize and distribute organizational knowledge (primarily through KM systems).

This paper examines how personal networks influence the internationalization process of Russian multinational corporations.

We identify and review 78 articles published in five International Business journals that address the role of networking and relationships in firm internationalization. We then use the network perspective to examine how Russian multinationals internationalize.

Combining the key conclusions of the reviewed studies with insights from the network perspective, and adding insights that we have gained both through first-hand experience and by following the Russian business media, we develop a model that links personal networking and Russian multinationals’ internationalization. We outline four functions that personal networking plays – access to information and knowledge, resource commitment, development of marketing and sales capabilities, and further network expansion.

This paper challenges established views of how firm internationalization occurs. It combines two previously unrelated streams of literature, the network model of internationalization and the role of personal networking within the Russian business environment, and argues that personal networking plays a much larger role in how Russian MNCs internationalize than has the International Business literature has acknowledged.

The purpose of this paper is to address the strategies adopted by science-based start-ups to gain access to knowledge resources at diverse spatial levels. It investigates the presence and relative importance of ties endowed with different types of proximity in firms’ knowledge networks, and the role played by non-geographical proximity in gaining access to knowledge sources, both nearby and distant.

An analytical framework is proposed that distinguishes between two dimensions of proximity – geographical and relational – leading to different forms of proximity, which are further linked with modes of knowledge interaction (formal or informal). A methodology for network reconstruction is developed and applied to Portuguese molecular biology firms, permitting to identify the origin, location and nature of the ties and to position them along forms of proximity.

The results show that the incidence and mix of the different forms of proximity vary in firms’ individual networks, being possible to identify several patterns. They also uncover the relevance of relational proximity, whether or not coexisting with geographical proximity and often compensating for its absence.

This approach needs to be complemented with further research that refines the operationalization of relational proximity, by attempting to disentangle the influence of different types of non-geographical proximity. Further research will also explore in greater detail the factors that may explain variety in the proximity mix of firms’ networks.

The paper offers insights into the knowledge sourcing strategies adopted by science-based firms located outside the main concentrations of knowledge in their field.

The paper contributes to the literature on the role of proximity in knowledge access, by developing and empirically testing a taxonomy of forms of proximity, considering the characteristics of science-based firms. It uncovers the mechanisms through which relational proximity can contribute to span spatial boundaries, highlighting the role played by entrepreneurs’ personal networks.

Vocational training by those involved in small land‐based businesses can lead to innovation as transferred knowledge may be applied to make marginal changes to enterprises or, in some cases, a major reorganisation of resources within a business. The purpose of this paper is to explore how knowledge is disseminated in personal business networks and how this is used in a very traditional industry.

A synthesis of three interrelated concepts, those of knowledge, social network structure and trust in relationships, provides the basis for a tripartite model of knowledge transfer. Through conducting in‐depth interviews, data are collected on each aspect of the model to map the structure of personal business networks, to provide qualitative data on the type of relationships that exist within these and to whom knowledge has been transferred.

The emphasis on innovation through loose ties or the role of the outsider may not be an appropriate model for small land‐based business. With the pre‐dominance of strong ties and low flows of information, these businesses are unlikely to change either quickly or easily. Radical changes to business structure imply a more costly and focused intervention than the current emphasis on project and programme based support for rural businesses.

Creating a snapshot of knowledge transfer occurring in small land‐based businesses provides valuable insights into the flows of information within a business and how training is deployed. However, a longitudinal study would deepen understanding of how cumulative knowledge transfer is practically implemented.

Applying social network analysis to small businesses to examine knowledge transfer is in itself innovative, particularly as the research draws upon a peer‐group of businesses enabling some comparisons to be made.

The purpose of this paper is to deepen the understanding of how and to whom knowledge is transferred from training to practice.

Through recognising the interrelationship between knowledge, social network structure, and relational trust, social network methodology is applied to examine the importance of farmers' social networks in the process of knowledge transfer after engaging in learning through vocational training. The paper shows a synthesis of knowledge, social network structure and trust in relationships provides the basis for a tripartite model of knowledge transfer for which data was collected by conducting in‐depth interviews. Using social network analysis this data maps the personal business networks of individuals that have participated in training explicitly detailing to whom knowledge has been transferred.

The paper finds that farmers combine training with their tacit knowledge and through discussions with their family, and in some cases with professional contacts, new knowledge initiates various degrees of change within businesses. The familial, social and emotion attributes of business relations may determine the extent that knowledge is transferred in to practice.

Creating a snapshot of knowledge transfer provides valuable insights into the flows of information within a business and how training is deployed. Furthermore, it provides pointers that to improve the injections of knowledge into small land‐based businesses requires more focussed intervention than is currently emphasised on programme based support schemes.

The paper shows that applying social network analysis to small agricultural businesses to examine knowledge transfer is in itself innovative, particularly as the research draws upon a peer‐group of businesses enabling some comparisons to be made.

The purpose of this paper is to investigate the sets of relationships, both physical and virtual, on which school technology coordinators (STCs) rely in exchanging problem‐solving knowledge. Using prestige as an indicator of knowledge exchange across school boundaries, a model of relational variables was constructed from social networks to explain the characteristics of personal knowledge exchange in STC communities.

The analytical model designed for this research was based on social network theory. Egocentric interviews were conducted to collect relational data on knowledge exchange among STCs. Path analysis was applied to examine associations among relational variables.

Prestigious STCs engage more in contributing knowledge to online communities of related competency than to STCs at other schools. They do not expend as much effort helping other STCs and only reciprocate within a smaller group from whom they have received advice. Online knowledge contributions have mediation effects for STCs with limited personal networks in becoming prestigious.

Few studies have evaluated the sets of relationships on which teachers rely, to solve problems, and few empirical studies have focused on the features of personal knowledge exchange in a loosely coupled community of practice. This study uses prestige rather than job evaluations as an indicator for knowledge‐intensive workers to examine the knowledge‐exchange characteristics and demonstrate applicability to studies of communities of practice. The results also reveal deficiencies of knowledge dissemination in STC communities. These findings are relevant for studies of the information and communication technology practices of other professionals.

Adopting a personal knowledge management (PKM) scope, this paper aims to report the resulting experience of a four‐year qualitative research project on the dynamics of social skills development strategies in knowledge‐intensive, e‐learning workplace environments.

By adopting a grounded encased study approach, the research explored how practitioners develop strategies for adapting to emerging e‐learning spaces while developing networking skills. The encased study stemmed from research completed at the University of Manchester. The study aimed to gain perspectives and make sense of social skills development (communication, networking and collaboration skills) in the particular setting of knowledge facilitation within virtual environments in three universities of the Manchester city region.

The personal lifelong learning journey that educational and academic staff undertake in order to become skilled knowledge facilitators online is perceived and represented as a full learning cycle of multiple dimensions. Also, by identifying specific roles of knowledge facilitators according to context, the existing institutional social systems and city networks of learning were made evident in the practitioners' learning scope within their own institutions and beyond.

The paper uses a multiple‐layer, third‐generation knowledge management framework to explore the different emerging roles of knowledge workers in knowledge‐intensive communities online, and how they facilitate multiple tacit knowledge conversion into explicit scholarly knowledge.