Organizational Ecology

Hannan, Michael T.; Freeman, John

doi:10.4159/9780674038288

Cited by 2,280 publications

(96 citation statements)

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“…Detailed discussions of this problem can be found in Blossfeld et al (1989), Heckman and Singer (1984), Heckman and Walker (1987), Trussell and Richards (1985), Tuma andHannan (1984), andYamaguchi (1986). Blossfeld et al (1989) and Hannan and Freeman (1989) provided examples of adding a disturbance term to their parametric models.…”

Section: Unobserved Heterogeneitymentioning

confidence: 99%

“…Details about model testing can be found in any of the texts listed in Appendix A. Substantive examples are provided by Hannan and Freeman (1989).…”

Section: Model Testingmentioning

confidence: 99%

“…Instead, they advocated the use of the integrated (cumulative) hazard as a more informative means of graphically inspecting the data (Figure 4). The cumulative hazard is useful in determining whether duration dependency exists (see Hannan & Freeman, 1989); specifically, if there is no duration dependency, the hazard is constant and its line should form a slope of 1. Conversely, a line that does not show a slope of 1 indicates duration dependence.…”

Section: Plotsmentioning

confidence: 99%

“…Conversely, a line that does not show a slope of 1 indicates duration dependence. A good discussion and illustration of the diagnostic property of the cumulative hazard plot are given by Hannan and Freeman (1989). Furthermore, the natural log of the cumulative hazard plotted against time provides a visual means of determining the proportionality of a stratified covariate (Kalbfleisch & Prentice, 1980).…”

Section: Plotsmentioning

confidence: 99%

“…It becomes much more difficult to determine the appropriate parametric model. For example, heuristic examples by Blossfeld et al (1989) and substantive findings by Hannan and Freeman (1989) illustrate the difficulty in distinguishing not only within a family of curves (e.g., monotonic [Weibull vs. Gompertz] or nonmonotonic [log normal vs. log logistic]), but it is also possible to have difficulty determining across types of curves (e.g., monotonic vs. nonmonotonic). In fact, it is possible that a best fitting model can be completely misspecified (see Arminger, 1987).…”

Section: Continuous-time Modelsmentioning

confidence: 99%

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Event history analysis of marital and family interaction: A practical introduction.

Griffin¹

1993

Journal of Family Psychology

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This article provides definitions, concepts, and a general description of event history analysis relative to its potential application to marital and family interaction data. It discusses the differences between continuous-time and discrete-time analysis and the differences between parametric and proportional hazards models. Finally, the article addresses data collection and analytic issues relevant to the family interaction investigator.Suppose that you are interested in examining mother and son conflict episodes because previous research suggests that the duration and outcome of these short microbursts of interaction predict the son's subsequent development of antisocial behavior patterns (Patterson, 1982). The hypothesis is simple: The more frequently conflict occurs and the longer, on average, each conflict lasts, the worse the prognosis for the son's future. The first part of the hypothesis is a density issue, and the second is a rate-of-change issue. Suppose further that you want to determine what measurable factors influence the likelihood of conflict as well as how rapidly the dyad moves from the conflict state to the nonconflict state. Alternatively, you might ask what factors influence how rapidly the dyad moves to a conflict state if they are currently in a nonconflict state.Although several common data-analytic strategies are now available to address the initial part of the hypothesis, which is the event likelihood problem (e.g., logistic regression), analyzing the second part, or the rate of change, is more difficult. Until recently, such questions were typically either not asked, or duration was averaged by variable level across multiple variables, and then a comparison procedure determined the presence of statistically significant differences. Aside from the crudeness of such a procedure, an additional problem is that it portrays the interaction between time and behavior as static,

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Section: Unobserved Heterogeneitymentioning

confidence: 99%

“…Details about model testing can be found in any of the texts listed in Appendix A. Substantive examples are provided by Hannan and Freeman (1989).…”

Section: Model Testingmentioning

confidence: 99%

Section: Plotsmentioning

confidence: 99%

Section: Plotsmentioning

confidence: 99%

Section: Continuous-time Modelsmentioning

confidence: 99%

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Event history analysis of marital and family interaction: A practical introduction.

Griffin¹

1993

Journal of Family Psychology

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Survival of Businesses Using Collaborative Relationships to Commercialize Complex Goods

1996

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Authors with many theoretical and managerial perspectives argue that businesses commercializing technologically complex goods benefit when they collaborate closely with other businesses. Collaboration is viewed as a means for businesses to overcome competency limitations and to achieve the close configuration of components required for complex goods. We predict that collaborative relationships often assist businesses to produce complex goods, but that the relationships might also cause problems for the collaborating businesses. We find that firms using development‐oriented and marketing‐oriented collaborative relationships in the hospital software systems industry are less likely to shut down than businesses that follow independent approaches when the environment changes gradually, but businesses using collaborative relationships are sometimes susceptible to being acquired by other firms. Following a sudden environmental shock, businesses with collaborative relationships for activities central to the shock became more likely to shut down, while businesses with collaborative relationships for activities outside the focus of the shock became more likely to survive. The study critically evaluates and tests the widely stated but little‐tested argument that interfirm collaboration is usually beneficial. The results address the issue of whether organizational choices affect comparative business performance.

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The leveraging of interfirm relationships as a distinctive organizational capability: a longitudinal study

1999

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Organizational Ecology

Cited by 2,280 publications

References 0 publications

Event history analysis of marital and family interaction: A practical introduction.

Event history analysis of marital and family interaction: A practical introduction.

Survival of Businesses Using Collaborative Relationships to Commercialize Complex Goods

The leveraging of interfirm relationships as a distinctive organizational capability: a longitudinal study

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