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Most network research in organizations assumes away the dissociative forces instantiated in negative ties, instead pursuing ties that reflect only associative forces, to the detriment of understanding organizational networks. This essay provides a brief history of negative tie research in organizations; discusses different definitions of negative ties, situating them within the tripartite model of interpersonal attitudes; suggests alternative paths to network dynamics when considering negative ties; covers existing and suggested paths to studying personality antecedents of negative ties; and briefly reviews the research on the consequences of negative ties in organizations and suggestions for future work.

Social networks are not just patterns of interaction and sentiment in the real world; they are also cognitive (re)constructions of social relations, some real, some imagined. Focusing on networks as mental entities, our essay describes a new method that relies on stylized network images to gather quantitative data on how people “see” specific aspects of their social worlds. We discuss the logic of our approach, present several examples of “visual network scales,” discuss some preliminary findings, and identify some of the problems and prospects in this nascent line of work on the phenomenology of social networks.

Researchers have traditionally investigated aspects of the interorganizational monitoring process in piecemeal fashion. This conceptual piece argues that juxtaposing the categorization process with interorganizational emulation, imitation, and competition, brings focus to organizations’ attempts to acquire information from other organizations, signal internal and external constituencies, and ultimately change. We argue that the depth or intensity with which the monitoring process is pursued as well as the breadth or degree of overlap in the sets of organizations chosen to monitor, determines the volume and diversity of information acquired, the strength of the signal sent to constituent groups, and the amount and type of change likely to emerge from the process. All of these factors will ultimately affect the firm's future performance.