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This chapter provides a deep dive into knowledge networks. The authors provide an inclusive definition of a knowledge network. A knowledge network includes nodes as sources and targets of knowledge, relationships as knowledge links, and messages as knowledge transactions and flows. The authors note how knowledge networks differ from other types of networks, specifically their dynamic and chaotic state and continuous transactions. These peculiarities reflect the economic properties and behaviors of knowledge. The elements of networks described in Chapter 2 are elaborated for knowledge networks. The chapter calls out knowledge network domains, geographies, typologies, nodes, messages, and relationships.

The purpose of this study is to explore the knowledge network-based intellectual capital of corporate universities and its co-evolution process with knowledge management activities.

An exploratory and multiple case study was conducted, investigating three Chinese corporate universities. Grounded theory was used for data analysis.

This paper finds that the intellectual capital of corporate universities comprises teacher network capital, knowledge process capital and knowledge ba. The steering wheel model is established through the synergistic interaction and promotion among these three types of intellectual capital. The interaction between intellectual capital and the knowledge network within corporate universities constructs the intellectual capital network, which plays the roles of coordinator, knowledge gatekeeper and innovation bridge. The intellectual capital of corporate universities is characterized by sequential inertia. Moreover, the intellectual capital and intellectual capital network are aligned with knowledge management activities at each stage of corporate university development, interacting and following the principles of ladder evolution.

A significant contribution of this paper lies in applying the concept of intellectual capital within the fourth-stage ecosystem to a broader range of knowledge networks. By exploring the dynamics and network of intellectual capital in corporate universities, especially the role of intellectual capital networks and the synergy between intellectual capital and knowledge management activities, this study enriches the existing research on knowledge management and intellectual capital of corporate universities. Furthermore, it advances the development of knowledge management promotion in corporate universities from a new perspective of intellectual capital.

The purpose of this paper is to propose a theoretical framework to distinguish different forms of network resource that govern knowledge‐based alliances and facilitate innovation.

The paper seeks to build theory through a critical analysis of the relevant literature.

The paper draws on the notion of network resources to better understand those assets firms have at their disposal to facilitate knowledge‐based interactions and relationships that catalyze innovation. It seeks to integrate the concept of social capital, which the paper argues largely concerns resources related to the social relations and networks held by those individuals within a particular firm. As a means of describing and identifying network resources that are more strategically held by the firm as a whole, the paper introduces the concept of network capital. Network capital is defined as consisting of investments in calculative relations by firms through which they gain access to knowledge to enhance expected economic returns. Therefore, the paper argues that it is possible to make a distinction between the two types of network resource: network capital and social capital.

Making a distinction between network capital and social capital is relevant to both scholars and decision‐makers as it provides a framework for analyzing the underlying complexity of inter‐firm networks and variability across a range of dimensions, conditions and contingencies. It also provides a framework for evaluating which networks a firm can or cannot manage and invest in to meet its requirements.

The paper develops a new and more refined framework for analyzing and evaluating knowledge‐based alliances and innovation‐driven networks between firms and other actors.

This study aims to examine an empirical evidence of the relationship between relational capital, network competence and market entry capabilities on marketing performance in small- and medium-sized enterprises’ (SMEs’) furniture export orientation in Central Java, Indonesia.

This study uses a quantitative research approach to investigate the relationship between relational capital, network competence, market entry capabilities and marketing performance. To achieve the research objectives, data were collected from managers or owners of furniture export orientation in Central Java, Indonesia. Using structural equation modeling, and after a series of exploratory and confirmatory factor analyzed, the authors tested an integrated model of the relationship between relational capital, network competence, market entry capabilities and marketing performance.

The result of this study indicates that relational capital has a positive significant effect on marketing performance. Relational capital has an insignificant effect on market entry capabilities. Network competence has a positive effect on market entry capabilities. Market entry capabilities have a positive effect on marketing performance. Other results also show that market entry capabilities can mediate the influence of network competence and marketing performance.

The limitation of this research indicates that respondents in this research are very varied, if it is seen from their background into furniture business development, whereas many respondents do not have enough understanding of the questionnaire distributed. This research is only developed at the SMEs’ furniture area, so it cannot be generalized at the other organizational area. The influencing of relational capital result in market entry capability has not suitable with theory built. It is because inaccurate dimension market entry capability has been applied in this research. For future research, it is suggested to look for alternative dimension of market entry capability.

Based on the analysis results and discussion, it can be formulated that managerial implication explains the following steps: first, a company should focus on long-period relationship development. Focus on long-period relationship development will increase customer loyalty and company performance. Moreover, the customer has long-term relationship with organization, although instability condition because of the belief in long-period relationship and strong commitment to each other. The evidence from this study suggests that’s the organization needs to develop the long-term relationship with customer. Second, networking competency is important in market entry capability. Relationship can change anytime; therefore, the company has to have a strong competency of network developing. This competency helps company to enhance strong relationship. The strong network relationship helps company face easier ways in market entry capability.

The results of this research indicate that the role played by relational capital to increase market entry capability is not as good as the role played by network capability on market entry capability. In the international market context, the role of resource-based view is better than that of transaction cost economy in influencing market entry capability. Other results also show that market entry capabilities can mediate the influence of network competence and marketing performance.

The purpose of this paper is to review the study of social capital focused on the level at which it is embodied, cross-comparing two prominent camps that have emerged in the social capital literature: a communal level and an individual level.

This paper reviews the intersections and departures between communal level and individual level conceptualizations of social capital according to the social dynamics of action within social exchanges that they stimulate, the processes by which social capital is activated/mobilized and the rewards they yield, and their linkages to inequality through network diversity.

This paper articulates new directions for future research in social capital: more analytical precision for studying returns to social capital; more efforts to transcend the individual-communal divide; the depreciation of social capital or tie decay; and recognizing the importance of ties whose value does not come from the ability to provide instrumental gain, but just from their very existence.

Social capital has informed many influential agendas in the social sciences, but the sheer volume of which has largely gone unscoped. This paper reviews this literature to provide an accessible introduction to social capital, organized by social processes foundational to sociology and a novel contribution to the literature by articulating new directions for future research in the area.

From a social capital perspective, this study aims to shed light on the link between social capital and career adaptability by focusing on how social connections and interactions shape and nurture career adaptability. Drawing on socioemotional selectivity theory, the authors further examined the critical moderating role of age on the above relationship.

Survey responses from 208 HRD professionals were analyzed via a moderated mediation analysis.

The results showed that there is a positive relationship between social capital (network size and intimate network) and career adaptability; frequent interaction increases intimacy, in turn enhancing career adaptability; and the indirect effect of social capital on career adaptability (via intimate network) is stronger when the employee is younger.

The most novel theoretical contribution of this study is that the authors lend empirical support to the connection between social capital and career adaptability moderated by age. The study also contributes to understanding how core aspects of social capital are inter-related each other and have directional relationships.

In this chapter, the authors highlight the emerging discipline of network sciences and the evolution and adaptation of human networks. The change is considered in the context of a shifting economic landscape and the importance of knowledge in the twenty-first-century knowledge economy. The chapter offers a fundamental definition of networks and explores the shifting geography of networks. Specifically, the authors explore door-to-door, place-to-place, and person-to-person network geographies. The authors model economic systems as networks and explain the role of human, structural, and relational capital as nodes, messages, and links in networks.

Intellectual capital creation (ICC) in networks has been considered as central to the processes for responding to wicked problems. However, knowledge on the factors that explain ICC in networks is limited. We take a step toward filling this research gap by drawing on an extended view of social capital to identify specific network features that should explain ICC heterogeneity in engineered intergovernmental networks.

A sample of 655 local authorities participating in 8 networks was used to test the framework proposed. Data analysis followed a three-step approach. Firstly, confirmatory factor analysis was applied to assess the convergent and discriminant validity of the measures. Secondly, a non-parametric median test was conducted to determine whether the variables under study were statistically different for the eight networks. Lastly, the structural model underlying the conceptual framework was tested.

The authors found that the eight intergovernmental networks studied differed significantly in their levels of social interaction and ICC. At a structural level, three variables usually considered representative of social capital (social interaction, trust and shared vision) and two supplementary variables (shared resources and shared decisions) were proven to have significant direct and/or indirect effects on ICC.

No previous cross-sectional research has studied the link between the creation of social capital and intellectual capital in engineered intergovernmental networks. As this research focuses on networks and climate change, it contributes to the fourth and fifth stages of intellectual capital research.

Drawing on social network and social capital literature, this study aims to explore how digital entrepreneurs utilize social networks to build their entrepreneurial capability, creating and developing business ventures in a digitally networked society.

The study takes a qualitative approach, interviewing 35 digital entrepreneurs with businesses operating across multiple industry sectors in Western Australia.

The findings suggest that structural social capital provides a key resource with groups of relational contacts who facilitate in building entrepreneur capability, the venture and customer markets. Relational social capital provides a foundation of trust between entrepreneurs and social network members that is strategically important for digital entrepreneurship (DE). Cognitive social capital provides mechanisms to form relationships based on shared values across social networks.

The study produces early evidence that in a multiplexed networking world, social capital accrual and use online is different from that of off-line. More empirical studies are needed to understand the complexity of the changing nature of online and off-line social networks, the consequential social capital and their interdependence in DE.

This is an exploratory qualitative study using a limited sample of 35 Australian digital entrepreneurs to explore the impact of social network interaction on digital entrepreneurs and their ventures, with the purpose of stimulating a social network approach when studying DE. This study confirms the critical importance of entrepreneurial social networks in the digital age and provides empirical evidence that online networks foster business development, while off-line networks feed self-development.

The study contributes to current research on DE as a dedicated new research stream of entrepreneurship. Specifically, the study contributes to a greater understanding of how digital entrepreneurs leverage social networks in today's digitally connected society.