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The paper attempts to analyze the network structure of value activity in manufacturing clusters, propose the model of value creation of cluster's value activity network, and explore the inner mechanism and optimization strategies of value creation in manufacturing clusters from the perspective of cluster's value activity network.

This paper applies a genetic algorithm to optimally search in the target space, and repeatedly exerts genetic operation (select, cross, variation) on the population to explore the optimal configuration strategy between value creation activity and resource utilization. It also analyzes the relation between object function of value creation and relative parameters.

The total value created by value activity network was impacted by the degree of effective configuration between all kinds of resources and value activities; the total value created by value activity network is positively related to activity units' elasticity coefficient of value creation of human resource, material resources and relations resource, and is negatively correlated to cost coefficient of human resource, material resources and relations resource; when the cooperative relations between activity units create positive relationship profit, the total value created by value activity network increases with the increase of cooperative relations between activity units.

Enterprises in clusters should reasonably configure and incorporate the resource among value activities through adding, deleting or reconfiguring activities, which makes the value activities network create maximum value; enterprises can transform the type of activity units to increase elasticity coefficient of value creation of human resources, such as transforming production activities into the high value‐added activities; enterprises can optimally incorporate the technical, material resources and human resources among activities to increase value creation elastic coefficient of material resources; enterprises can decrease cost coefficient by maintaining the stability of long‐term cooperation with the suppliers and strengthening the cultivation of talents; enterprises can increase profits from relation resource or reduce cost coefficient of relationship by updating activities, building trust mechanism and communication mechanisms and establishing long‐term cooperation relationship to improve value creation activities.

This paper proposes the model of value creation from the perspective of cluster's value activity network, and applies a genetic algorithm to explore the optimal configuration strategies between value creation activity and resource utilization.

The study this chapter reports focuses on how network theory contributes to the understanding of the internationalization process of SMEs and measures the effect of network capability on performance in international trade and has three research objectives.

The first objective of the study relates to providing new insights into the international market development activities through the application of a network perspective. The chapter reviews the international business literature to ascertain the development of thought, the research gaps, and the shortcomings. This review shows that the network perspective is a useful and popular theoretical domain that researchers can use to understand international activities, particularly of small, high technology, resource-constrained firms.

The second research objective is to gain a deeper understanding of network capability. This chapter presents a model for the impact of network capability on international performance by building on the emerging literature on the dynamic capabilities view of the firm. The model conceptualizes network capability in terms of network characteristics, network operation, and network resources. Network characteristics comprise strong and weak ties (operationalized as foreign-market entry modes), relational capability, and the level of trust between partners. Network operation focuses on network initiation, network coordination, and network learning capabilities. Network resources comprise network human-capital resources, synergy-sensitive resources (resource combinations within the network), and information sharing within the network.

The third research objective is to determine the impact of networking capability on the international performance of SMEs. The study analyzes 11 hypotheses through structural equations modeling using LISREL. The hypotheses relate to strong and weak ties, the relative strength of strong ties over weak ties, and each of the eight remaining constructs of networking capability in the study. The research conducts a cross-sectional study by using a sample of SMEs drawn from the telecommunications industry in Ireland.

The study supports the hypothesis that strong ties are more influential on international performance than weak ties. Similarly, network coordination and human-capital resources have a positive and significant association with international performance. Strong ties, weak ties, trust, network initiation, synergy-sensitive resources, relational capability, network learning, and information sharing do not have a significant association with international performance. The results of this study are strong (R2=0.63 for performance as the outcome) and provide a number of interesting insights into the relations between collaboration or networking capability and performance.

This study provides managers and policy makers with an improved understanding of the contingent effects of networks to highlight situations where networks might have limited, zero, or even negative effects on business outcomes. The study cautions against the tendency to interpret networks as universally beneficial to business development and performance outcomes.

Social information is crucial to credit ratings and can improve the accuracy of the traditional credit assessment model. Drawing on the resource-based view (RBV) and social capital theory (SCT), this research explores the relationships between corporate social activities, network centrality and corporate credit behavior.

The authors used social network analysis (SNA) and regression analysis to analyze the data collected from 14,544 enterprises on the Alibaba platform.

The results indicate that among the four types of social activities, the number of corporate questions and posts shows a positive relationship with credit behavior; while the number of corporate comments has negative relationship with credit behavior. Further, degree and betweenness centralities mediate the relationship between the number of corporate questions, posts and comments with credit behavior.

This study contributes to the literature on non-financial factors (soft information) by exploring the social behavioral factors related to corporate credit. In addition, this study offers a new theoretical lens and reasonable explanations for investigating the relationship between corporate social activities, network centrality and credit behavior from the perspective of the resource-based view, while most studies are predictive and methodological. Moreover, this study provides new insights for platforms to evaluate enterprise credit and for managers to improve credit behavior.

This study aims to model tourist activities in a network and explore the properties of the network. Such network enables the author to explain and quantify how tourist activities are connected in determining tourist consumption as well as the organization of destination supply.

The author developed a network formation mechanism to create edges between nodes based on the joint probability of a pair of activities undertaken by tourists at a destination. By adjusting network sparsity, the author created an ensemble of four topologically similar networks for empirical testing. The author used tourist activity data of Hong Kong inbound tourists to test the network model.

The author found a robust hub–periphery topological structure of the tourist activity network. In addition, the network is featured by high clustering, short diameter and positive correlations between four node centralities, namely, degree, closeness, betweenness and eigenvector centralities. The author also generated the k-cores of the networks to further unravel the structure of hub nodes. The author found that the k-cores are dominated by tourist activities related to shopping or sightseeing, suggesting the high complementarity of these activities.

This study provides a different lens through which tourist consumption can be understood from a macroscopic angle by examining network topology and from a microscopic angle by examining node centralities.

To the best of the author’s knowledge, this is the first study attempting to model tourist activity and consumption in a network and explore the properties of the network. Not only has this study provided a new real-world network for network research, but it has also suggested an innovative modeling approach for tourist behavior research.

This paper aims to investigate business network activity patterns and how they change when actors experience tensions.

Four tensions, developed from previous literature, are considered in relation to how they influence activity patterns. A longitudinal case study focusing on the modernization of an international airport illustrates how tensions experienced by actors influence changes in activity patterns.

Results highlight that when tensions in relation to network position are experienced activity patterns are more likely to break and form new patterns. When multiple tensions are experienced within the same period, an old activity pattern is more likely to be broken and the new activity pattern develop.

Contributions in relation to interdependencies between activities heighten the impact of changes leading to the breaking of existing patterns, particularly the importance of coordination activities. These findings are context specific because activity patterns vary according to the industry.

Practical implications indicate that understanding network interdependences within the change process is important, particularly for co-ordination activities. The study informs practitioners about possible outcomes while tensions are experienced. This study found that when actors are experiencing multiple tensions, breaking of activity patterns is more likely to occur while experience less tensions extending existing activity patterns becoming more likely.

Contributions are made in relation to gaps in investigating the business network activity layer and their changes in relation to tensions.

Regret is an undesirable yet very common outcome of social networking site (SNS) use. To date, the literature has examined SNS regret at an aggregate level. The purpose of this paper is to decompose the dimensions and constituents of SNS regret into networking regret and brand page regret, to better understand it, and examine how the two facets of regret are created by SNS use intensity and gratification. The authors also decomposed SNS activities into networking activities and brand page activities and positioned them as predictors of networking regret and brand page regret, respectively.

The authors drew on uses and gratifications theory and positioned interpersonal connectivity and exhibitionism as the antecedents of networking activities as well as informational value and exhibitionism as the antecedents of brand page activities. The authors collected data from 246 Facebook users from France and analyzed the data using the partial least squares approach.

The results show that use intensity has a marginal effect on both brand page and networking regret. However, exhibitionism was found to reinforce the effect of use intensity on both brand page and networking regret. It also had a positive effect on both networking and brand page activities. The other two gratifications, interpersonal connectivity and informational value, had a positive effect on networking and brand page activities, respectively.

To date, empirical attempts at investigating decomposed SNS regret have been rare. The paper fills this theoretical and empirical gap and contributes to the literature on regret in an SNS use context.

A corporate university is a knowledge management institution established within an enterprise. The purpose of this paper is to investigate the evolution of knowledge activities of corporate university and their relationship, particularly the role of networking in the knowledge management.

Haier, which had the earliest Chinese corporate university in the science and technology manufacturing industry, was employed as a case study. Data were collected by interviews and through consulting the documents of Haier’s corporate university. Grounded theory was used for data analysis.

The paper finds that corporate universities are engaged in three kinds of activities, namely, enterprise operational knowledge transfer, networking activities and scientific and technological activities. There is a dynamic circular relationship among these three kinds of activities, which form a “figure of eight” cycle model. Networking activities are the hub between enterprise operational knowledge transfer and scientific and technological activities. There is a two-way integration of enterprise operational knowledge transfer and science and technological activities via networking activities. Networking activities, thus, play a key role in the development of corporate universities into knowledge management centers. The scope of the key activities of corporate universities is dynamic and expanding. The double circulation effect among key activities in corporate universities has strengthened over time.

By investigating the dynamic nature of the activities of corporate universities, particularly the role of networking in knowledge management, this research enriches the study of the knowledge management of corporate universities.

The purpose of this paper is to review the findings from a study of teacher professional learning networks in Kenya. Specific areas of focus included network participation, network activities, network leadership, and professional impact on network members and their schools.

The research was grounded in the literature on education networks and teacher learning. The research employed a qualitative design and was implemented from September 2015–March 2017, including three two-week field trips to Kenya. Data included network records, 83 personal interviews, 4 focus group interviews, 19 observations of network meetings, and classroom observation of network and non-network teachers in 12 schools.

Network participation had positive effects on teachers’ sense of professionalism and commitment to teaching and on their attitudes toward ongoing professional learning and improvement in student learning. Teachers also highlighted network benefits for learning to use new teaching strategies and materials, responding to student misbehavior and misunderstanding, and lesson preparation.

Research constraints did not permit longitudinal investigation of network activities and outcomes.

The paper identifies challenges and potential focuses for strengthening the learning potential of network activities, network leadership, and the links between network activity and school improvement.

Prior research has investigated education networks mostly in North American and similar high income settings. This paper highlights the benefits and challenges for networks as a strategy for continuous teacher development in a low income low resource capacity context.

The purpose of the study is to identify and develop a framework to clarify facilitating orchestrator hub-team roles; their interactions, linked capabilities and activities; and the hub-team concept. This framework is illustrated by a case study of an orchestrator hub-team facilitating cross-country and network co-creation in Northern Sweden, Norway and Finland.

The following two approaches are used: a conceptual approach that combines various source materials and concepts related to the “bricolage approach”; and an empirical approach that illustrates the conceptual framework using a longitudinal, qualitative, single-case study and the action research method.

By combining research related to three differing yet somewhat overlapping research perspectives, three facilitating orchestrator hub-team roles are identified, linked to orchestrator capabilities and activities relevant to innovative value creation in extensive networks including both private and public actors highlighting the role of people in networks. An orchestrator hub-team framework and five related activity categories are developed and introduced.

This study contributes to research on the orchestration of innovative co-creation in extensive networks and network management by clarifying the facilitating orchestrator hub-team roles and their related capabilities and activities, and thereby describing the role of a centrally positioned hub-team.

The hub-team framework may bring structure and understanding to hub-teams, thus easing and enabling orchestration and value co-creation.

This study offers a further developed, integrated framework for intermediating the facilitating roles of a hub-team orchestrating extensive network and public/private co-creation.

This paper aims to contribute to the knowledge base on leading and facilitating the growth of school improvement networks by describing the activities and challenges faced by network leaders.

A total of 19 co‐leaders from 12 networks were interviewed using a semi‐structured schedule about the growth of their network, key leadership processes, “tipping points”, structural design and knowledge flow and transfer. Annual review documents were also analysed.

Five leadership activities focused on facilitating networks were identified. These were: “courting” potential partners and developing proposals for networked activity; working for partner alignment and buy‐in into network goals and plans; creating structured opportunities for teachers to work together; embedding networked activity through formalisation and harvesting the knowledge generated by practitioners; and refocusing network efforts. These activities present tensions around negotiating purpose, securing ownership of network activity, time, trust and the balance between quick wins and long term activities.

Internationally, networks are emerging as an increasingly common organisational form as well as a method for professional development, school improvement and to better serve pupil need. This paper adds to the limited research on network leadership and addresses increased calls for the intentional development of these organisational structures.