Sammenlign metoder

	Process Research in Organizations	Event History Turnover Analysis
Fagfelt	Organisasjonsatferd	Organisasjonsatferd
Familie	Process / pipeline	Survival analysis
Opprinnelsesår	1999	1993
Opphavsperson	Ann Langley; Andrew Van de Ven & Marshall Scott Poole	Paul D. Allison; June G. Morita, Thomas W. Lee & Richard T. Mowday
Type	Qualitative pipeline for theorizing temporal change from process data	Time-to-event modeling of employee turnover
Opprinnelig kilde	Langley, A. (1999). Strategies for theorizing from process data. Academy of Management Review, 24(4), 691-710.	Morita, J. G., Lee, T. W., & Mowday, R. T. (1993). The regression-analog to survival analysis: A selected application to turnover research. Academy of Management Journal, 36(6), 1430-1464.
Alias	Process Studies, Process Organization Studies, Theorizing from Process Data, Temporal Process Research	Survival Analysis of Turnover, Hazard Modeling of Employee Turnover, Time-to-Turnover Analysis, Employee Tenure Survival Models
Relaterte	3	3
Sammendrag	Process research in organizations studies how and why things emerge, develop, grow, and terminate over time, treating change as a flow of events rather than a relationship between static variables. Ann Langley's 1999 Academy of Management Review article gave the field a toolkit, laying out seven generic strategies for theorizing from messy, longitudinal process data and weighing their strengths against the goals of accurate, parsimonious, and general theory. Van de Ven and Poole's 1995 article supplied a complementary conceptual map, identifying four basic motors of organizational change — life-cycle, teleology, dialectic, and evolution — that underlie how development unfolds. Langley, Smallman, Tsoukas, and Van de Ven's 2013 editorial consolidated the maturing field of process studies, foregrounding temporality, activity, and flow and clarifying the ontological commitments that distinguish process research from variance research. Together these works define a distinct mode of inquiry centered on sequence, timing, and unfolding.	Event history turnover analysis models not just whether employees leave but when they leave, treating tenure as a duration and the act of quitting as an event whose timing carries information. Paul Allison's 1984 monograph brought event history methods — survival and hazard models — into the social sciences with a regression-oriented treatment that handles the censoring inherent in longitudinal data. Morita, Lee, and Mowday's 1993 Academy of Management Journal paper applied these techniques to turnover research, showing organizational scholars how to model the hazard of leaving and why time-to-event methods are superior to simple stayed-versus-left comparisons. The core object is the hazard function, the instantaneous risk of quitting given that one has stayed so far, which can depend on tenure and on employee and job characteristics. Because some employees are still present when the study ends, the analysis must correctly handle censored observations rather than discarding or mis-coding them. The result is a model that explains and predicts the timing of turnover.