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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.

In this study, we seek to broaden the research focus in the strategic alliance literature from a firm's “partner strategy” to its “network strategy” by linking a firm's partnering choices to changes in its network position over time. Using data on all underwriting syndicates in Canada over nearly 40 years, we conceptualize and model the interplay between an investment bank's own and its partners’ syndicate participation. Our findings indicate that the lead banks, which have greater discretion in choosing syndicate partners than co-lead banks, are more likely to make partner selections that create bridging positions that provide access to timely and non-redundant information as well as opportunities to play a broker role across unconnected others. We also find, however, that lead banks’ bridging positions deteriorate when they form ties with other lead banks. Network-based competitive advantages are thus influenced by network opportunities and constraints as well as partner-specific concerns, suggesting that new insights into the dynamics of interfirm networks and competitive advantage of firms are possible within this broader view.

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.

The field of Human Resource Management (HRM) has long recognized the importance of interpersonal influence for employee and organizational effectiveness. HRM research and practice have focused primarily on individuals’ characteristics and behaviors as a means to understand “who” is influential in organizations, with substantially less attention paid to social networks. To reinvigorate a focus on network structures to explain interpersonal influence, the authors present a comprehensive account of how network structures enable and constrain influence within organizations. The authors begin by describing how power and status, two key determinants of individual influence in organizations, operate through different mechanisms, and delineate a range of network positions that yield power, reflect status, and/or capture realized influence. Then, the authors extend initial structural views of influence beyond the positions of individuals to consider how network structures within and between groups – capturing group social capital and/or shared leadership – enable and constrain groups’ ability to influence group members, other groups, and the broader organizational system. The authors also discuss how HRM may leverage these insights to facilitate interpersonal influence in ways that support individual, group, and organizational effectiveness.

Purpose – This study assesses the extent to which four features of work – supervision, autonomy, creativity, and skill – are associated with different structural forms of social capital. Social capital may enhance actors’ access to diverse information and resources or it may foster mutual commitment and trust. Actors’ draw on these social connections, and the resources embedded therein, when they engage in work activities. The study considers how dense and diverse network structures serve complementary functions to actors engaged in creative and autonomous jobs or for reproducing inequality within firms.Methodology – The analysis uses nationally representative survey data and the position-generator approach to social capital measurement to determine the relationship between three social capital constructs – diversity, hierarchy, and density – and respondents’ work characteristics.Findings – Supervisory, autonomous, creative, and highly skilled workers all have more diverse social networks. Supervisors and skilled workers also have access to high-status contacts. Finally, creative and autonomous workers have more dense social networks.Originality/value – Findings suggest that density and diversity are useful to actors engaged in self-directed or creative work tasks. These findings support theories of complementary network structures that combine access to unique information with the collective ability to pursue goals.

This exposition explains how Elementary Theory works and how it has been developed over the last two-and-a-half decades. Both increased scope and heightened precision are covered.

Theoretic methodology is explained. Using that method formal models are constructed analogous to empirical events. Those models predict events, design experiments, and guide applications in the field.

There is a widely held belief in sociology that theory becomes more vague and imprecise as its scope broadens. Whereas broader generalizations are more vague than narrower ones, this exposition shows that abstract theory becomes more precise as its scope broadens.

Here implications and limitations are closely connected. Regarding implications, this exposition shows that scientific explanations and predictions are viable today in sociology but only when exact theory is employed. Regarding limitations, the theory and research included in this exposition make clear why the empiricist search for regularities that dominates sociological research is so very limited in its results.

This exposition demonstrates that theory is the method of all the sciences and in particular the science of sociology.

We develop and test a model of how a software firm's business strategy (product scope and market scope) interacts with the firm's network position (alliance degree and structural holes) to impact performance. We test the joint-effects hypotheses on a sample 359 packaged software firms that have entered into 5,489 alliances involving 2,849 distinct firms during the time period, 1990–2002. While prior studies have demonstrated the importance of network positions as a determinant of firm strategy and performance, this chapter begins to examine the performance effects of how a firm's business strategy and network positions interact. We find support for three of the four hypotheses lending empirical support for our theoretical model. We develop implications for network-based perspectives of strategy and outline areas for further research.

People centrally located within networks enjoy a variety of benefits. Why some people achieve such advantage while others do not is not well understood. Using a novel dataset that maps the workflow network among software engineers at a Fortune 500 technology company, I trace the evolution of the position of 804 new entrants to the firm over a period of three years. Findings paint a consistent picture as to the determinants of position in this network: one’s team and one’s job at time of entry, rather than intellectual or social endowment, play the strongest roles in determining one’s subsequent centrality and autonomy.

Two core assumptions set network theory apart from other perspectives and direct research into specific strategic and organizational topics.