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The study here examines how business actors adapt to changes in networks by analyzing their perceptions or their network pictures. The study is exploratory or iterative in the sense that revisions occur to the research question, method, theory, and context as an integral part of the research process.

Changes within networks receive less research attention, although considerable research exists on explaining business network structures in different research traditions. This study analyzes changes in networks in terms of the industrial network approach. This approach sees networks as connected relationships between actors, where interdependent companies interact based on their sensemaking of their relevant network environment. The study develops a concept of network change as well as an operationalization for comparing perceptions of change, where the study introduces a template model of dottograms to systematically analyze differences in perceptions. The study then applies the model to analyze findings from a case study of Norwegian/Japanese seafood distribution, and the chapter provides a rich description of a complex system facing considerable pressure to change. In-depth personal interviews and cognitive mapping techniques are the main research tools applied, in addition to tracer studies and personal observation.

The dottogram method represents a valuable contribution to case study research as it enables systematic within-case and across-case analyses. A further theoretical contribution of the study is the suggestion that network change is about actors seeking to change their network position to gain access to resources. Thereby, the study also implies a close relationship between the concepts network position and the network change that has not been discussed within the network approach in great detail.

Another major contribution of the study is the analysis of the role that network pictures play in actors' efforts to change their network position. The study develops seven propositions in an attempt to describe the role of network pictures in network change. So far, the relevant literature discusses network pictures mainly as a theoretical concept. Finally, the chapter concludes with important implications for management practice.

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.

This study provides a comprehensive framework of adaptation in triadic business relationship settings in the service sector. The framework is based on the industrial network approach (see, e.g., Axelsson & Easton, 1992; Håkansson & Snehota, 1995a). The study describes how adaptations initiate, how they progress, and what the outcomes of these adaptations are. Furthermore, the framework takes into account how adaptations spread in triadic relationship settings. The empirical context is corporate travel management, which is a chain of activities where an industrial enterprise, and its preferred travel agency and service supplier partners combine their resources. The scientific philosophy, on which the knowledge creation is based, is realist ontology. Epistemologically, the study relies on constructionist processes and interpretation. Case studies with in-depth interviews are the main source of data.

We have been working together as husband and wife, as management professor and management consultant, and as coauthors for over 30 years. During that time, we have tailored an operations research–based approach to represent the functional infrastructure of organizations as networks of agreements for the transfer of deliverables, e.g., products, services, and communications, which connect internal organizational units and also their external relations. The network model is useful to understand organizations, support organization change, and develop management practices that improve efficiency, teamwork, and effectiveness. Throughout the application of this approach, we have observed often that “management is missing,” in organizations in general and in organization change management in particular, where managers and change agents may underestimate or fail to recognize the productive relationships at the foundation of performance in organizations, that these relationships are different from authority or social/affinity relationships, and that they require management. In this chapter, we distinguish the network approach that is fundamental to our work and the “missing” elements of management that are recognizable by using that approach. We then examine how “management is missing” in change management and how it might be restored.

Drawing on the experience of the Observatories, a set of interconnected research centers in Italy, this chapter explains why academics are in one of the best positions to orchestrate interorganizational initiatives of change and development, and highlights two prerequisites that appear necessary to render salient this orchestrator role of academics: (i) the extensive use of multiple approaches of collaborative research and (ii) the creation and maintenance of a platform allowing the management and diffusion of the network-based learning mechanisms underlying each change and development effort. The contributions extend existing knowledge on organization development and collaborative research.

Dyadic multi-dimensionality informs the variation that exists within and between network ties and suggests that ties are not all the same and not all equally strategic. This chapter presents a model of dyadic evolution grounded in dyadic multi-dimensionality and framed within actor-level, dyadic-level, endogenous, and exogenous contexts. These contexts generate both strategic catalysts that motivate network action and bounded agency that may constrain such network action. Assuming the need to navigate within bounded agency, the model highlights three strategic processes that demonstrate how dyadic multi-dimensionality underlies the evolution of strategic network ties.

Organization development is often mourned as stagnant or perhaps dead, but most of these declarations seem to be insular, being supported primarily by anecdotal or survey research among organization development scholars and practitioners. This exploratory study seeks a more objective understanding of the state of organization development by examining big data from the social media platform Twitter. Drawn from over 5.7 million tweets extracted through Twitter's Application Program Interface (API) during 2 months in 2018, this research approaches the state of organization development through a quantitative, abductive study utilizing social network analyses. Organization development is examined through its characteristics as a social network on Twitter and how it relates to and interacts with other familial networks from management and organization studies. Findings show that organization development is relatively inactive as a social network on Twitter, as compared to other familial networks, and the relationships between the organization development network and these familial networks tend to be ones of inequality. Organization development references familial networks much more than any of the familial networks reference organization development. This inequality in social media presence is particularly surprising since several of these familial networks were founded from the field and principles of organization development. We locate organization development's generalist status, as compared to familial networks' specialist status, as generating this interaction disparity drawing on recent research that suggests specialized fields fare better in times of rapid change compared to generalist fields. We discuss the potential for greater specialization of organization development with a reemphasis on its process philosophy and focus.

In this chapter, we focus on the social integration of young immigrants in Sweden who themselves and/or one or both of their parents came from Iran or former Yugoslavia. In particular, we look at the share of alters in their core networks who are of the same parental national origin and how this has changed within a period of four years. To explain network changes, we consider the parental national origin similarity among them, changes in opportunities to meet network members, and important life events.

We analyzed two waves of survey data collected in 2010 and 2014 from 1,537 individuals who live in Sweden and who were all born in 1990, including 325 immigrants from Iran, 447 immigrants from former Yugoslavia, and 805 native Swedes. The results indicate that: (a) the share of parental national origin similar alters in the core networks of immigrants significantly increases over time, (b) first-generation immigrants in particular increasingly associate with others who are of the same parental national origin, (c) important life events hardly result in network changes, and (d) schools and work places are social contexts that enhance the social integration of immigrants, because in these contexts immigrants meet and engage in personal relationships with individuals who do not share their parental national origin.

This paper develops an argument about how contentious changes unfold in organizational fields, focusing on the role of uncertainty – and the networks people use to address uncertainty. We propose that as controversial practice gains traction and spreads, the nature of uncertainty facing organizational decision makers also evolves. This dynamic has important implications for how different actors and networks can influence change. We illustrate our argument with a mixed-methods case study on the diffusion of domestic partner benefits across US Fortune 500 companies. Our findings shed light on how – and when – social activists, corporate elites, and middle managers can influence the corporate decision-making process.