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My purpose is to describe for strategic management scholars in Africa, particularly graduate students and new faculty members, dynamic analysis and its significance in the African context so as to assist in the study of dynamic phenomena.

I discuss various types and methods of dynamic analysis. Dynamic analysis has been used extensively in such fields as cognitive psychology, social psychology, and management in Western countries.

I illustrate the various dynamics by reviewing four illustrative studies. I also provide procedures for studying dynamics in the African context.

I discuss the strengths and limitations of dynamic analysis and suggest ways of maximizing its potential.

The technique is a source particularly for graduate students of strategy in Africa. They can use it to supplement other approaches in studying strategic management phenomena.

This chapter discusses a typology of dynamic analysis consistent with empirical or variable modeling approaches. The lack of such a typology in the context of Africa makes it a valuable contribution. Thus, it fills a contextual gap in the research methodology literature.

This chapter aims to identify the main determinants that define the architectural properties of network emergence and significantly influence the dynamics underlying network evolution in time. The identification and analysis of these determinants, as well as the dynamic processes tied to them, allows to appreciate the competitive bases and consequences of network morphology. To this purpose, using a complex systems perspective as an integrative conceptual approach, we represent networks as complex dynamic systems of knowledge and capabilities. We perform a comparative in-depth analysis of the processes underlying the emergence and evolution of STMicroelectronic's global network and of Toyota's supplier network in the US so as to allow an elucidatory empirical assessment of the theoretical representation elaborated in the article.

Purpose – Criminal groups have long been central to explanations of crime and deviance. Yet, challenges in measuring their dynamic and transient nature meant that group-level explanations were often displaced in favor of individual-level ones. This chapter outlines how network methods provide a powerful tool for modeling the dynamic nature of criminal groups.

Approach – The chapter starts by providing a brief introduction to social network analysis, including key concepts and terminology. The chapter then focuses on the types of relational data available to study criminal groups, and how network methods can be used to delineate group boundaries. The chapter concludes by presenting a framework for understanding group dynamics from a network perspective, describing the contributions of network analysis to theories of group processes.

Findings – Network methods have provided meaningful advances to the study of group dynamics, leading scholars to revisit assumptions about the impact of group’ structure on delinquent behavior. Network studies of group dynamics have primarily focused on the cohesion–delinquency link (within-group structure) and the social contagion of conflict (between-group structure), highlighting important opportunities for the intersection of these two inquiries.

Value – Network methods provide a means to revisit and extend theories of crime and delinquency with a focus on social structure. The unique affinity between group dynamics and network methods highlights immense opportunities for expanding the knowledge of collective trajectories.

Traditionally, organizational theory has been a receptacle of methods and mechanisms from network theory. In this paper, we argue that organizational theory can also be an active contributor to network theory’s conceptual development. To that end, we make explicit a theoretical strategy that has only been used informally by network theorists so far, which – following Vaughan (2002) – we refer to as analogical theorizing. Using the basic correspondence between dyadic relationships as the most minimal form of “organization,” we show that processes and mechanisms extracted from various theoretical strands of organizational theory can be mapped onto the dynamics of social relationships. This allows us to build novel theoretical insight as it pertains to issue of relationship emergence, maintenance, and decay in social networks.

The research community currently employs four very different versions of the social network concept: A social network is seen as a set of socially constructed role relations (e.g., friends, business partners), a set of interpersonal sentiments (e.g., liking, trust), a pattern of behavioral social interaction (e.g., conversations, citations), or an opportunity structure for exchange. Researchers conventionally assume these conceptualizations are interchangeable as social ties, and some employ composite measures that aim to capture more than one dimension. Even so, important discrepancies often appear for non-ties (as dyads where a specific role relation or sentiment is not reported, a specific form of interaction is not observed, or exchange is not possible).

Investigating the interplay across the four definitions is a step toward developing scope conditions for generalization and application of theory across these domains.

This step is timely because emerging tools of computational social science – wearable sensors, logs of telecommunication, online exchange, or other interaction – now allow us to observe the fine-grained dynamics of interaction over time. Combined with cutting-edge methods for analysis, these lenses allow us to move beyond reified notions of social ties (and non-ties) and instead directly observe and analyze the dynamic and structural interdependencies of social interaction behavior.

This unprecedented opportunity invites us to refashion dynamic structural theories of exchange that advance “beyond networks” to unify previously disjoint research streams on relationships, interaction, and opportunity structures.

The purpose of this chapter was to describe the development of an early childhood learning network and to understand that development through the lens of complexity theory and trans-organization development. It explores the unfolding dynamics and emerging meaning that became central to facilitating the design, development, and implementation of the complex multi-stakeholder network.

The chapter identifies 12 implications from complexity theory for practitioners of trans-organization development, and then applies those implications to the process and understanding of development stages of an NP’s early childhood education network.

The use of complexity theory as a framework allowed for identifying five key observations and conclusions, in particular the significant role that meaning-making dialogue holds as a driver of common understanding and engagement among stakeholders. Additionally, the use of building responsive processes, understanding contextual shift, impact of power as an attractor pattern, and capacity of flexibility and adaptability all become essential elements of complex network leadership.

The findings of this chapter will help trans-organization development practitioners and leaders alike. Both the implications and lessons learned will assist in building the capacity of leaders and practitioners as a means of improving effectiveness in dealing with emerging dynamics and leading in unknown contexts and complex contexts environments.

We propose an information-based view of the dynamics of network positions and use it to explain why bridging positions become stronger. We depart from previous network dynamics studies that implicitly assume that firms have homogenous information about the network structure. Using network experiments with both students and managers, we vary a firm's network horizon (i.e., how much information a firm has about the network structure) and the network horizon heterogeneity (i.e., how this information is distributed among the firms within the network). Our results indicate that firms with a higher network horizon occupy a stronger bridging position, especially under conditions of high network horizon heterogeneity. At a more general level, these results provide an indirect validation of what so far has been an untested assumption in interfirm network research, namely that firms are aware of their position in the overall network and consciously attempt to improve their position.

This chapter addresses the dynamics in inter-organizational relations. The authors probe the value networks so prevalent within contemporary ­manufacturing to put forward that their basic cooperation/competition duality manifests itself in practical terms as capability, appropriation, and governance paradoxes. The authors conducted a longitudinal ethnographic study aimed at capturing the process by which inter-organizational collabor­ation in ­manufacturing value networks is enacted. Our study finds that inter-organizational relations are “nested” in that a relationship plays out over an interpersonal network where the inter-organizational relationships are a framework for action, while simultaneously interpersonal interactions affect how the inter-organizational relationships take shape and evolve. Furthermore, we found that inter-organizational dynamics is essentially a stratified process. Solving particular and concrete problems at the surface level, with regard to specific collaboration issues between organizations, simultaneously shapes truces with regard to the underlying capability, appropriation, and governance paradoxes.

Destinations have in the scholarly literature been labeled as communities of interdependent organizations that collectively coproduce a variety of products and services. The paradigm comes close to describing destinations as firms which are embedded in interfirm networks. Recent studies provide crucial insights into an understanding of destinations' orchestration and structuration as coproducing interfirm networks. However, systematic knowledge about how these systems evolve and develop is lacking. This chapter addresses this issue and elaborates how the concepts of scale-free and small-world networks together can explain the process of destination evolution. The discussion also suggests how such theorizing can spur avenues for future research.

This chapter analyses the multiple embeddedness of MNEs, and their participation in solving contemporary societal issues. We aim to increase understanding on the relational processes and network dynamics present in MNEs’ participation in cross-sector partnerships.

Our study addresses the issue of the poor ecological state of the Baltic Sea and illustrates the early developments in cross-sector collaboration. We build on a single exploratory case study of the cooperation of one MNE (IBM) with an environmental NGO (BSAG) in Finland. We analyse how participation in the cross-sector collaboration manifests itself in the external and internal networks of the MNE.

We show that an initiative by the NGO to participate in environmental work was actively adopted within the MNE and led to network changes. These changes concerned both the activation of existing links and the establishment of new links with such actors as authorities and research institutes. The NGO acted as a catalyser and cultural mediator to create a bridge between the MNE and governmental actors.

There is a need to investigate cross-sector collaboration in other contexts – particularly from the perspective of MNEs and (international) business networks. Questions such as how do enduring (business and socio-political) relationships emerge from MNE’s participation in issue networks and how technology that has been developed to solve a specific societal issue may be translated into commercial solutions are especially promising. We also urge scholars to investigate the ties, texture and dynamics (including tensions) of business relationships with those of public actors and civil society.

Participation in cross-sector initiatives may grant an MNE a forerunner position in the creation of new sustainable markets and technologies. It may also create an opportunity to influence policymakers and build new socio-political networks. From the perspective of a subsidiary of an MNE, engagement with cross-sector partnerships may strengthen its voice within the MNE network.

Our study contributes to the understanding of the relationship dynamics between actors in cross-sector collaboration around a societal (environmental) issue. Our analysis illustrates the embeddedness of MNE networks, where actions in the regional and global networks (the representatives of the headquarters) overlap with and strengthen the local actions of the subsidiary.