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This article reviews the extensive history of dynamic performance research, with the goal of providing a clear picture of where the field has been, where it is now, and where it needs to go. Past research has established that job performance does indeed change, but the implications of this dynamism and the predictability of performance trends remain unresolved. Theories are available to help explain dynamic performance, and although far from providing an unambiguous understanding of the phenomenon, they offer direction for future theoretical development. Dynamic performance research does suffer from a number of methodological difficulties, but new techniques have emerged that present even more opportunities to advance knowledge in this area. From this review, I propose research questions to bridge the theoretical and methodological gaps of this area. Answering these questions can advance both research involving job performance prediction and our understanding of the effects of human resource interventions.

Analysis of organizational decline has become central to the study of economy and society. Further advances in this area may fail however, because two major literatures on the topic remain disintegrated and because both lack a sophisticated account of how social structure and interdependencies among organizations affect decline. This paper develops a perspective which tries to overcome these problems. The perspective explains decline through an understanding of how social ties and resource dependencies among firms affect market structure and the resulting behavior of firms within it. Evidence is furnished that supports the assumptions of the perspective and provides a basis for specifying propositions about the effect of network structure on organizational survival. I conclude by discussing the perspective’s implications for organizational theory and economic sociology.

This chapter describes how to use popular software programs (Hierarchical Linear Modeling, LISREL) to analyze multiwave panel data. We review prevailing methods for panel data analyzes in strategic management research and identify their limitations. Then, we explain how multilevel and latent growth modeling provide more rigorous methodologies for studying dynamic phenomena. We present an example illustrating how firm performance can initiate temporal change in the human and social capital of members of Board of Directors, using hierarchical linear modeling. With the same data set, we replicate this test with first-order factor latent growth modeling (LGM). Next, we explain how to use second-order factor LGM with panel data on employee cognitions. Finally, we review the relative advantages and disadvantages of these new data-analytical approaches.

This paper examines how young people develop meaningful self-concepts in the postmodern social world. Drawing from an ethnographic investigation of punk subculture, I explore how identity work is performed when young people are saturated with competing self-definitions and encouraged to engage in reflexive self-doubt. Focusing on the ecstatic qualities of concerts, I describe a complex process of identity formation wherein youth emotionally experience their identities through ritual performance rather than constructing them through institutional affiliation or narrative. My analysis draws heavily from Bourdieu’s practice theory and the existential phenomenology of Merleau-Ponty, emphasizing the centrality of embodiment and performativity to postmodern identity. I conclude with a discussion of how postmodern theories of the nonself exaggerate the insecurity of contemporary identity, and I outline a new theoretical framework regarding identity formation that bridges the literatures on subjectivity and embodiment with classical work in symbolic interactionism.

Although a significant body of work has amassed that explores the antecedents, correlates, and consequences of employee turnover in organizations, little is known about how employees go about quitting once they have made the decision to leave. That is, after the decision to voluntarily quit their job is made, employees must then navigate through the process of planning for their exit, announcing their resignation, and potentially working at their company for weeks after their plans to resign have been made public. Our lack of understanding of the resignation process is important as how employees quit their jobs has the potential to impact the performance and turnover intentions of other organizational members, as well as to harm or benefit the reputation of the organization, overall. Moreover, voluntary turnover is likely to increase in the coming decades. In this chapter, we unpack the resignation process. Specifically, drawing from the communication literature and prior work on employee socialization, we develop a three-stage model of the resignation process that captures the activities and decisions employees face as they quit their jobs, and how individual differences may influence how they behave in each of these three stages. In doing so, we develop a foundation upon which researchers can begin to build a better understanding of what employees go through after they have decided to quit but before they have exited their organization for the final time.

Individual, interpersonal, and societal transformation will require continually working through the past. In this chapter, I process how inequalities contextualized my identity formation in the Southeastern United States. Racism, colonization, environmental degradation, misogyny, and homophobia shaped the institutions central to my Appalachian socialization – namely family, education, and law. Then, when the criminal punishment system interfered with one of my earliest intimate relationships, it sparked my interest and commitment to prison abolition. Ultimately, I find creativity and accountability, both personally and structurally, essential for potential transformation.