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Most studies on tie strength have focused on its definition, calculation and applications, but have not paid much attention to how tie strength can help analyse online social networks. Because ties play different roles in a network depending on their strength, the purpose of this paper is to explore the relationship between tie strength and network behaviours.

The authors propose a simple metric for tie strength measurement and then apply it to an online social network extracted from a blog network. These networks are massive in size and have technology for efficient data collection, thereby presenting the possibility of measuring tie strength objectively. From the results several key social network properties are studied to see how tie strength may be used as a metric to explain certain characteristics in social networks.

The online networks exhibit all the structural properties of an actual social network, not only in following the power law but also with regard to the distribution of tie strength. The authors noted a strong association between tie strength and reciprocity, and tie strength and transitivity in online social networks.

This paper highlights the importance of analysing online social networks from a tie strength perspective. The results have important implications for the development of efficient search mechanisms and appropriate group leaders in virtual communities.

The authors describe a hypothetical course that educators can use as a resource and model to (1) inform students about the transformations currently occurring as societies grounded in practices of the 20th century Industrial Age experiment with the emergent systems and structures of the 21st century Innovation Age, (2) identify experiential learning strategies that actively engage students in practicing the collaboration skills they will need to be successful, and (3) expose students to the field of positive psychology to understand their psychological strengths and to learn how to use them strategically to enjoy more success across multiple social networks. These multiple social networks present a complexity to learners that require students to develop a navigational compass. Psychological strengths refer to personality traits and competencies that enable people to do things well. In this three module course, students learn how moments of positive emotion can contribute to the high levels of engagement that occur when operating from strengths. Awareness and use of strengths energize the drive for achievement, sustain resilience, and improve performance. Students systematically identify their strengths and learn to spot strengths in others. In portfolios, they document engaged experiences to understand what truly energizes them and improves productivity. They reflect on how strengths and moments of positive emotion affect their self-esteem and self-efficacy. In class activities, students explore how to deploy strengths effectively in different settings. In the last module, they set goals and work with teams to discover why collaboration and communication are essential to maximizing the value of strengths-based learning in social networks.

This study aims to investigate the relationships between the different strengths of ties (strong ties and weak ties), types of trust and project performance in megaprojects.

A questionnaire survey was conducted with various experts and professionals involved in megaprojects, and 350 valid responses were received. Data was analyzed by means of structural equation modeling.

The results show that both strong ties and weak ties have positive impacts on trust in megaprojects, but weak ties have a more significant positive effect than do strong ties. Unexpectedly, the introduction of interorganizational trust significantly weakens the effect of the strength of ties on project performance. The indirect influence of the strength of ties on performance has different paths. Weak ties have an indirect effect via calculative trust and relational trust. However, in a strong ties network, inferior stakeholders lack the information necessary to complete a megaproject, and they believe that calculative trust will not promote project performance until the megaproject is successfully delivered. Thus, the effect of calculative trust on project performance is not significant.

These findings provide evidence in regard to strength of ties governance being a part of the effective strategy in improving megaprojects’ performance. It also demonstrates the mediating function of trust and advances the current understandings of the underlying mechanism of the strength of ties on project performance, thus providing implications for researchers and practitioners. However, this study has some limitations. For example, the strength of ties and trust between organizations are a dynamic process in megaprojects. This study does not conduct in-depth analysis of the evolution mechanism and investigate the different levels of trust at different stages of the megaproject. Future research can be guided by these directions.

The main contribution of this study is fourfold. First, this study enriches the literature on strength of ties by accentuating the roles of trust in megaproject context. Second, this study contributes to the theoretical development of a conceptual model for explaining the interrelationships among strength of ties, types of trust and project performance. Third, this study responds to the call “which dimension (i.e. strong ties or weak ties) is more influential” by exploring the direct and indirect effects of strength of ties on project performance. Finally, this study breaks through the limitation of traditional cognition that megaproject management can be met by relying on rigid contracts. In other words, trust can supplement the weakness of rigid contract by forming contract flexibility with different strength of ties. Meanwhile, the specific strategies to establish and maintain trust are given, such as building information model (BIM) collaboration platform and reputation management mechanism.

Although social networks play an important role in individual ambidexterity, few studies have examined the impact of salespeople's social networks on sales-service ambidexterity. The purpose of this paper is to explore how salespeople's internal and external social networks affect sales-service ambidexterity.

The unique data of 331 salespeople from 39 units in retail banking industry and insurance industry were collected, and the hierarchical linear model was adopted to test the hypotheses. Finally, the alternative measure of the dependent variable and the alternative estimation method were adopted for robustness test.

The results show that the strength of salespeople's internal social networks and the extensiveness of salespeople's external social networks could facilitate sales-service ambidexterity of salespeople separately and synergistically. Salespeople's role breadth self-efficacy partially mediates the influences of internal and external social networks on sales-service ambidexterity, while empowerment climate and transformational leadership positively moderate the aforementioned mediational process by strengthening the relationship between salespeople's role breadth self-efficacy and sales-service ambidexterity.

Practical guidelines are provided for managers to shape ambidextrous salespeople by facilitating salespeople's internal and external social networks, promoting transformational leadership and creating empowerment climate within the unit.

To the best of the author's knowledge, this paper is the first to systematically examine the impact of salespeople's social network on sales-service ambidexterity. Drawing from social cognitive theory and the ambidexterity literature, this research reveals the mechanism of how salespeople's internal and external social networks contribute to sales-service ambidexterity.

With the development of regional economy, innovation network plays an increasingly prominent role in reducing regional innovation cost and enabling information, knowledge and capital flow and diffusion. Building an efficient innovation network has become a feasible way to improve regional innovation capabilities and performance. Thus, under the background of Chinese special triple helix structure, the specific mechanism of innovation network characteristics on regional innovation performance is still an issue that needs to be studied urgently.

This study conducts a multi-level regression analysis regional innovation panel data of China from the past four years to explore how the three dimensions of innovation network characteristics (i.e. network density, openness and strength) affect regional innovation performance.

The results show that there is an inverted-U relationship exists between network density and regional innovation performance. The network openness and regional innovation performance show a significantly positive relationship and a U-shaped relationship exists between network strength and regional innovation performance.

First, this study examines the relationship between network density, openness, strength and innovation ability in the network variable structure. However, this study does not analyze how absorptive capacity impacts the network structure and innovation performance of regional innovators. Second, innovation network intensity largely varies according to different types of enterprises or industries. Therefore, future studies can attempt to analyze the relationship between innovation network and innovation performance on the basis of the industry or the enterprise itself. Fourth, this study does not consider the change in the influence of innovation network structure on innovation ability.

The results of this study provide insights for the formulation of the regional innovation policy. First, enterprises must maintain good contact with research institutes, universities and technology intermediaries and promote resource, information and money flow between networks through formal and informal interactions. Enterprises can currently only interact with a limited number of innovative subjects due to their limited resources. Therefore, we should continue implementing the open policy of foreign capital utilization and absorb the technology, knowledge, management, ideas, talent and other resource advantages in the world. The investment environment in the central and western regions should be improved as soon as possible to guide foreign direct investments to the middle and the west part of China, thereby promoting the coordinated development of regional innovation ability and economy.

In 2015, the Chinese Government proposed “public entrepreneurship and innovation,” including technological, institutional, management and mode innovations. This study suggests that innovation subjects in the region should establish an interactive and dynamic innovation network among innovators.

The innovation of this study lies in the analysis of the characteristics of innovation network that significantly affect regional innovation performance, the exploration of different stages of innovation network construction path and provide theoretical guidance for the construction of innovation network.

Prior research on supply chain management has advanced substantially our understanding of how suppliers’ knowledge affects manufacturers’ green innovation. However, overlooking the suppliers’ diverse green knowledge in supplier networks, namely, green knowledge diversity, has limited our understanding of both supply chain management and green innovation development. To address this important issue, this study aims to rely on social network theory as the overarching framework and knowledge-based view as the underlying theoretical foundation to examine how green knowledge diversity contributes to manufacturers’ green innovation performance, while considering three types of supplier network properties (network strength, network heterogeneity and network density).

This study collects both survey and secondary proxy data from 209 manufacturing firms over three time periods (mid-2018, mid-2019 and mid-2020). PROCESS macro is applied to test the research hypotheses.

The results provide compelling evidence that green knowledge management processes partially mediate the effect of green knowledge diversity on manufacturers’ green innovation performance. The effect of green knowledge diversity is strengthened by supplier network strength and supplier network heterogeneity, but hindered by supplier network density.

This study provides a practical guide to help manufacturers enhance green innovation performance by properly managing and leveraging their suppliers’ diverse green knowledge domains in supplier networks.

This study contributes to the supply chain management and green innovation literature by offering novel theoretical and empirical insights into how manufacturers can use their supplier networks to strengthen green innovation.

Supplier–supplier coopetition is vital to buyer innovation in reality. However, it has not received enough attention in prior research. Integrating the ability-motivation-opportunity framework of organizational learning perspective and the awareness-motivation-capability framework of competitive dynamics theory, this paper investigates the effect of supplier–supplier coopetition within supplier network on buyer innovation, as well as the contingent role of the relational attributes -- duration and tie strength dispersion of buyer–suppliers relationship at the supplier network level.

Testing this model on the secondary data of supply networks formed by 204 US listed buyer firms in SIC code 28, 35, 36 during 2008–2019, the authors utilize a fixed-effect regression model to investigate the relationship between supplier–supplier coopetition and the focal buyer's innovation.

The authors provide support for the positive influence of supplier–supplier cooperation on buyer innovation and an inverted U-shaped relationship between supplier–supplier competition and the focal buyer's innovation. The buyer–suppliers tie strength dispersion amplified the above two effects, and supplier–supplier cooperation mitigates the effect of supplier–supplier competition on the focal buyer's innovation.

Extending the traditional dyadic view to a network-level view via linking the supplier–supplier dyad and the buyer–suppliers dyad, this paper contributes to a better understanding of supplier–supplier coopetition and its impact on buyer innovation with learning and competitive tension as the underlying explanations, and validates the contingent role of buyer–suppliers relational attributes.

This paper investigates third-party relationships in project networks in the construction industry and seeks increased understanding on how such relationships can be strengthened. The purpose of this paper is to develop a framework and propositions on enhanced relationship strength between component suppliers and designers as third parties.

A conceptual approach is used in this paper. Previous empirical research on business relationships, project networks and relationship strength is reviewed systematically, to identify factors required for strengthening the relationship in project networks.

Cooperative practices needed for strengthening the relationships in project networks were identified. The framework on how such practices are associated with relationship strength between supplier and designers was developed. Propositions on strengthening the relationship between component suppliers and designers were stated. These propositions can be developed further and tested in a hypothetic-deductive study.

The research was delimited by the choice of designers as third parties. The authors used some excerpts from the earlier interview study with over 20 designers, to illustrate the issues. Empirical analysis was not included in this paper which causes an evident limitation to validity. Additional research is proposed on analyzing the contractors’ and suppliers’ viewpoints to third-party relationships.

The paper suggests cooperative practices for construction component suppliers to enhance their relationship strength with third parties in project networks.

Limited research attention has been directed at the third-party relationships of suppliers in project networks. This paper offers important knowledge about these less salient relationships in project networks, beyond a simple dyadic relationship in the direct supply chain.

This study aims to examine the underlying mechanism of buyer–seller ties and salespeople’s performance. Also examined was the moderating effects of the density of the customer network in which the salesperson is embedded.

The study developed a framework incorporating five key variables: strength of ties, network benefits, network density, sales effectiveness and sales revenue. The framework was tested using data from insurance companies in China.

Process regression and stepwise regression results indicated that information, influence and solidarity benefit will mediate the effects of strength of ties on sales effectiveness both when taken as a set and separately. Information, influence and solidarity benefit will mediate the effects of strength of ties on sales revenue when taken as a set, but only influence will mediate the effect separately. In addition, the positive relationship between strength of ties and solidarity benefit is weaker when network density is high.

Sales managers should initiate trainings and workshops about how to obtain high-quality information from customers, improving influencing power and establishing solidarity with customers. Moreover, salespeople should avoid conducting business with a group of customers if they are densely connected to one another.

On the one hand, this study contributes to the underlying mechanism research on buyer–seller ties and sales performance. On the other hand, it contributes to the contingency research on sales performance and the development of social network theory.

The purpose of this paper is to investigate different effects of three network externality factors, i.e. local network size, network strength, and total network size, on online messenger, online community, chat room and e‐mail services.

In the paper hypotheses are tested with a regression model using a survey data collected from 107 MBA students at a business school in South Korea.

The paper finds that the three network externality factors have different effects on the users' future usage intention for the four Internet services. Local network size is significant for online messenger services, local network size and network strength are significant for online community services, and total network size is significant for chat room services. For email services, none of the network externality factors are significant.

The paper shows that a total network size is an important network externality factor affecting the success of a network. However, users' satisfaction with network services and two additional network externality factors, local network size and network strength, are also important determinants. To generalize the finding, investigations into other network services in other environments and into some offline networks are necessary.

The paper shows that depending on types of networks, managers can focus on different important network externality factors in managing their networks.