By Markus Schimmer
This thesis investigates the aggressive dynamics within the international coverage from 1999 to 2008. After reviewing the present kingdom of the educational debate on interfirm contention, it derives a study time table spanning varied degrees of research and phenomena of curiosity. particularly, the thesis explores (1) how and why organizations always modify their strategic profiles within the presence of an industry's strategic staff constitution, (2) no matter if industry shocks (namely 9-11 and storm Katrina) briefly switch the decision-logic underlying aggressive offerings, and (3) even if inventory markets reply in a different way to aggressive strikes that stick with a basically said strategic rationale.
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Extra info for Competitive Dynamics in the Global Insurance Industry: Strategic Groups, Competitive Moves, and Firm Performance
Measures Dependent Variable Strategic cOllvergence-diverg~"cl!. With reference to its own strategic group, a focal finn's repositioning can either take the form of convergence or divergence. Following prior research (Carroll, Pandian, & Thomas, 1994; Chen & Hambrick, 1995; Cool & Dierickx, 1993; Gimeno & Woo, 1996; Park, 2007), we operationalize a finn's degree of convergence or divergence using a distance measure which quaotifies the strategic distance a firm covers during each year within the strategic space of the industry vis-a-vis its own strategic group.
Both stopping rules suggested a five cluster solution for all years, which is in line with the experts' assessment To further validate our clustering results, we triangulated our results with the initial clustering of our industry experts. In particular, we searched for the "ideal type" firms chosen by the industry experts and found them in the correct strategic Convergence-Divergence Within Strategic Groups 41 groups. , 2003; Thomas & Venkatramao, 1988). In doing so, we fouod that our cluster solutions cleanly discriminated between P&L aod Life insurers, two natorally occurring groups within the insuraoce industry (Nair & Kotha, 2001), as well as between firms that focus on private or corporate customers.
When firms perform below their managers' aspiration levels, prior research found that managers opt for riskier choices (Fiegenbaum, 1990; Fiegenbaum & Thomas, 1986, 1988; Lehner, 2000; Park, 2007). Though this finding could also be related to the characteristics of problemistic search processes (Cyer! & March, 1963), most prior studies refer to Kahncman and Tversky's (1979) prospect theory for an explanation. Rooted in psycbological research on how rationally bounded decision-makers evaluate the distributional properties of payoffs of alternative choices ("prospects") in dependence on wbether they bave already accrued a gain or loss (Kshncman & Tversky, 1979,2000), prospect theory is based on more realistic assumptions on human decision makers than prior theories on risk preferences (von Neumann & Morgenstern, 1953).
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