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Post-merger integration (PMI) success depends heavily on the social and cultural integration of the two legacy organizations. Given that organizational members work and exchange information through social relationships, social network analysis can serve as a useful tool to identify key actors, address areas of concern, and measure PMI success. However, few PMI studies have employed a social network perspective or social network analysis. In this chapter, the authors review the current literature on PMI and organizational change, including the few studies that use social networks approach. The authors also identify recent developments in social networks and organizational change research that can improve our understanding of PMI processes and propose promising avenues for future research. Further, the authors identify obstacles for social network research on PMI and provide practical advice for overcoming them.

The COVID-19 pandemic has disrupted the ‘real’ world and substantially impacted the virtual world and thus the Internet ecosystem. It has caused a significant exogenous shock that offers a wealth of natural experiments and produced new data about broadband, clouds, and the Internet in times of crisis. In this chapter, we characterise and evaluate the evolving impact of the global COVID-19 crisis on traffic patterns and loads and the impact of those on Internet performance from multiple perspectives. While we place a particular focus on deriving insights into how we can better respond to crises and better plan for the post-COVID-19 ‘new normal’, we analyse the impact on and the responses by different actors of the Internet ecosystem across different jurisdictions. With a focus on the USA and Europe, we examine the responses of both public and private actors, with the latter including content and cloud providers, content delivery networks, and Internet service providers (ISPs). This chapter makes two contributions: first, we derive lessons learned for a future post-COVID-19 world to inform non-networking spheres and policy-making; second, the insights gained assist the networking community in better planning for the future.

This paper aims to examine the idea that an individual’s attitudes and beliefs toward change depend on the quality of the dyadic relationships formed through his/her ego network. Specifically, the focus of the research question is to test if an individual with high quality dyadic ties to others who have a favorable outlook on change will also have a favorable outlook on change.

The research sample consisted of 100 full-time hotel employees working in six city hotels located in Thessaloniki, Greece. To test the research question, three approaches were used including: a descriptive social network analysis (SNA), multiple regression and homophily testing based on Moran and Geary autocorrelations.

Even though the SNA provided some valuable findings on the way structures and tie quality connected the participants, the results from the regression analysis and homophily testing indicated a lack of a positive relationship linking dyadic ties and behavioral intention toward change suggesting that dyadic ties do not influence behavioral intentions in a way that can be considered favorable to change.

Managers need to be aware that employees’ network relationship quality at the dyadic level is insufficient to create a supportive environment toward change. Therefore, dyadic ties significant contribution through SNA is the identification of power centers, influential people, interdepartmental links and interdependencies necessary to disseminate the change message and build sustainable momentum.

The limited number of prior empirical studies have thus far approached relationship quality as a concept composed of either emotional, psychological or technical features. This study differs by adopting the dimensions of tangibles, empathy, responsiveness, reliability and assurance existing in the TERRA model and by determining whether the dyadic tie quality positively impacts individual behavior toward change through the employment of a tripartite examination to strengthen the validation of similarities or differences in the results.

Abnormal behaviors such as rework, backlog, changes and claims generated by project organizations are unavoidable in complex projects. When abnormal behaviors emerge, the previously normal state of interactions between organizations will be altered to some extent. However, previous studies have ignored the associations and interactions between organizations in the context of abnormal organizational behaviors (AOBs), making this challenging to cope with AOBs. As a result, the objective of this paper is to explore how to reduce AOBs in complex projects at the organizational level from a network perspective.

To overcome the inherent limitations of a single case study, this research integrated two data collection methods: questionnaire survey and expert scoring method. The questionnaire survey captured the universal data on the influence possibility of AOBs between complex project organizations and the expert scoring method got the influence probability scores of AOBs between organizations in the case. Using these data, four organizational influence network models of AOBs based on a case were developed to demonstrate how to destroy AOBs networks in complex projects using network attack theory (NAT).

First, the findings show that controlling AOBs generated by key organizations preferentially and improving the ability of key organizations can weaken AOBs network, enabling more effective coping strategies. Second, the owners, government, material suppliers and designers are identified as key organizations across all four influence networks of AOBs. Third, change and claim behaviors are more manageable from the organizational level.

Project managers can target specific organizations for intervention, weaken the AOBs network by applying NAT and achieve better project outcomes through coping strategies. Additionally, by taking a network perspective, this research provides a novel approach to comprehending the associations and interactions between organizations in the context of complex projects.

This paper proposes a new approach to investigating AOBs in complex projects by simultaneously examining rework, backlog, change and claim. Leveraging NAT as a novel tool for managing the harmful effects of influence networks, this study extends the knowledge body in the field of organizational behavior (OB) management and complex project management.

Post-merger integration (PMI) is driven by coevolving processes. By integrating the literature on acquisitions with that of knowledge networks, this paper highlights different reconstruction mechanisms for dual knowledge networks during PMI – namely, internal knowledge network coupling and external knowledge network embeddedness. This paper aims to examine their coevolutionary relationships with PMI.

A coevolutionary framework is tested using a latent growth model and cross-lagged models. The analysis is based on longitudinal data collected from 116 Chinese technology-sourcing overseas merger and acquisition firms.

This paper unearths a novel idea that variations in post-merger reconstruction of dual knowledge networks can explain why some acquirers increase the degree of integration faster than the others. The results show that the internal knowledge network coupling leads to more knowledge similarity and, in turn, causes a higher degree of integration. The external knowledge network embeddedness also causes higher relative network status of the acquirer, which consequently leads to a higher degree of integration. Furthermore, results from cross-lagged models confirm that an increase in the degree of integration positively influences subsequent changes in the internal knowledge network coupling and external knowledge network embeddedness, thus forming a coevolutionary relationship over time.

This paper responds to recent calls for more insights into the dynamics of PMI. By highlighting different reconstruction mechanisms for internal and external knowledge networks during PMI, this paper explains why it is important to understand PMI dynamics from a dual knowledge network perspective. This paper is the first to adopt a coevolutionary perspective and provide a more comprehensive dynamic framework between PMI and reconstruction of dual knowledge networks. Besides, this paper contributes to the research on emerging market multinational corporations’ cross-border merger and acquisition integration from a dynamic perspective, revealing the time effects of traditionally favored light-touch integration.

Future is rarely explicitly addressed or problematized in business network research. This study aims to examine the possibilities of developing a business actor’s future orientation to network studies and imports ideas and concepts from futures research to support the development.

The study is conceptual and interdisciplinary. The authors critically analyze how extant studies grounded in the sensemaking view and process research approach integrate future time and how theoretical myopia hinders the adoption of a future orientation.

The prevailing future perspective is restricted to managers’ perceptions and actions at present, ignoring the anticipation and exploration of alternative longer-term futures. Future time is generally conceived as embedded in managers’ cognitive processes or is seen as part of the ongoing interaction, where the time horizon to the future is not noticed or is at best short.

To enable a forward-looking perspective, researchers should move the focus from expectation building in business interaction to purposeful preparation of alternative future(s) and from the view of seeing future as enacted in the present to envisioning of both near-term and more distant futures.

This study addresses the growing need of business actors to anticipate future developments in the rapidly changing market conditions and to innovate and change business practices to save the planet for future generations.

This study elaborates on actors’ future orientation to business markets and networks, proposes the integration of network research concepts with concepts from futures studies and poses new types of research questions for future research.

In this paper, I explore what shapes the identities of digital nomads (DNs), a class of remote workers who travel and work concurrently. Through extensive fieldwork and interviews with 50 digital nomads conducted in seven coworking hostels in Mexico in 2022, I construct a theory of DN identity. I base this upon the frequent transformations they undergo in their Circumstances, which regularly change their worker identity.

DNs relinquish traditional social determinants of identity, such as nationality and religion. They define their personal identities by their passions and interests, which are influenced by the people they meet. DNs exist in inherently transitive social spaces and, without rigid social roles to fulfil, they represent themselves authentically. They form close relationships with other long-term travellers to combat loneliness and homesickness. Digital nomads define their worker identities around their location independence. This study shows that DNs value their nomadic lifestyle above promotions and financial gain. They define themselves by productivity and professionalism to ensure the sustainability of their lifestyle. Furthermore, digital nomad coworking hubs serve focused, individual work, leaving workplace politics and strict ‘office image’ norms behind. Without fixed social and professional roles to play, digital nomads define themselves personally according to their ever-evolving passions and the sustainability of their nomadic life. Based on these findings, I present a cyclical framework for DN identity evolution which demonstrates how relational, logistical, and socio-personal flux evolves DN’s worker identities.

The purpose of this paper is to investigate two current transformation processes in the construction industry: the adoption of a novel material, cross-laminated timber (CLT), and the enhancement of digital transformation. This paper depicts the actors and interaction in the business network that is emerging around CLT construction and, in particular, how digital transformation (that is, the deployment of Construction 4.0 solutions) occurs in this business network.

Digital transformation is a relatively new phenomenon in CLT construction, and the authors, therefore, adopt a qualitative inductive research approach and rely on semi-structured interviews.

The findings of this paper suggest that it is critical for actors to adopt an interorganizational perspective in CLT construction, instead of only focusing on internal operations. An interorganizational perspective supports successful CLT construction, as well as the deployment of Construction 4.0 solutions. This will bring about the benefits of digital transformation in the construction industry.

This paper investigates the network created around CLT construction in Finland but more generally illustrates the change toward Construction 4.0 solutions.

For managers, this paper explicates the importance of networking, instead of focusing on the internal development of the company, when adopting novel solutions emerging from both construction and information technology-related advancements.

Stability and traditions are characteristic of the construction industry. New technical solutions and materials, together with calls for sustainability, have challenged the traditional ways of constructing, and for example, the development of CLT construction has led to an emergence of new business networks. This material-related process and the ongoing digital transformation of business form an interesting context for an empirical-based analysis of changing interaction and networks. This paper gives the first insights into how digital transformation can benefit the evolution of the network.

This study aims to explore the relationship between network position and innovation under major environmental turbulence.

The authors use a difference-in-differences identification approach using the 2009 Industry Revitalization Plan in response to the global financial crisis as a natural experiment with a sample of Chinese listed firms from 2001 to 2017.

The findings show that a major environmental turbulence can facilitate firm innovation, and firms that occupy central positions in the interlock network show worse innovation performance while firms with high brokerage show better innovation performance.

The literature on environmental implication has largely focused on the threats and overlooked the potential opportunities. Moreover, social network literature has elaborated on the benefits and constraints of network positions from a static perspective but largely overlooked their implications facing environmental change. By exploring the bright side of major environmental turbulence and including this factor as a key contingency in exploring the effects of centrality and brokerage, this study integrates external environmental context with social network research and provides empirical evidence responding to the call for more attention to network dynamics and extends our understanding of the context-contingent network effects on firm innovation.

This study aims to investigate how companies’ understanding of the business network influences the creation of value in business-to-business relationships. The authors do this by analysing dimensions in actors’ “network pictures” and illustrating how value perception and network understanding influence actors’ mutual effort to create value. Approaching relationship value from the point of actors’ cognitive understanding of their business network has so far been largely overlooked in relationship value research.

This study applies a qualitative case study methodology whereby dyadic data from a well-established business-to-business relationship is collected from 18 company representatives through personal interviews and group interviews supplemented by participant observations and company data.

The findings contribute with new insight into how companies’ understanding of their surrounding network influence (facilitates or limits) relationship value creation. The authors find that companies continuously reflect on changes in their networks and the related changes in partners’ value perceptions. Through value articulations, companies seek to explicitly express their value perception. Value reflections and value articulations create a dynamic process formed not only by the individual actor but also through their relationship and engagement in their network environment. This requires companies to develop their networking capabilities.

This paper presents findings, insights and contributions limited to a case study of a particular business relationship within an industrial setting. Although the findings and contributions are valid and in line with the criteria for rigorous qualitative research, the authors advocate and call for additional studies that investigate relationships value creation and address the interplay between actors’ network understanding and their actions and behaviour. One way to approach this would be to test the four propositions derived and presented as part of the present study.

The findings imply that management needs to be aware not only of the value created and delivered to a specific partner but also of how the partner’s understanding of the wider network will influence the value delivering and capturing process.

This study contributes to the growing literature on relationship value creation by outlining a dynamic process where relationship partners reflect upon and articulate value. Such activities are influenced by the partners’ network understanding and form the basis of the mutual relationship value creation effort. The findings also contribute to the network pictures literature by emphasizing insights into the formation of value perceptions through actors’ understanding of their surrounding networks.