Segmentation
In: Key Concepts in Political Communication, S. 186-187
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In: Key Concepts in Political Communication, S. 186-187
In: Towards the Single Employment Contract : Comparative Reflections
In: The Marketing of the President: Political Marketing as Campaign Strategy, S. 67-85
In: Marine policy, Band 11, Heft 1, S. 29-44
ISSN: 0308-597X
In: Computers and Electronics in Agriculture, Band 21, Heft 3, S. 153-168
SSRN
In: Marketing theory, Band 20, Heft 4, S. 429-457
ISSN: 1741-301X
This article extends the S-T-P framework of market segmentation (i.e. segmentation, targeting, and positioning), showing that firms have more sources of segments than previously acknowledged, including the option of integrating feral segments that emerge publicly in the marketplace. While the S-T-P framework currently focuses on ad hoc segmentation tailored for a focal firm and syndicated segmentation made for commercialization to multiple firms, this article introduces feral segmentation in which cultural intermediaries (CIs) coin consumers categories through their familiarity with popular culture. Empirically, the article investigates how CIs constructed the lumbersexual segment, a neologism combining the narcissism of the metrosexual with the roughness of the lumberjack. The findings include a four-step feral segmentation process: (1) Establishing deviance—singling out anomalies that lower the explanatory power of existing segments. (2) Prototyping—sketching profiles that enhance familiarity and allow identification. (3) Anchoring—attaching the segment into public discussions. (4) Vaccination—coining preemptive validations against criticism.
In: International Journal of Mechanical Engineering and Technology 9(8), 2018, pp. 1367–1377
SSRN
In: Sozialwissenschaftliche Arbeitsmarktforschung 9
In: Aktuelle Forschung Medizintechnik
? Segmentation of anatomical structures in medical image data is an essential task in clinical practice. Dagmar Kainmueller introduces methods for accurate fully automatic segmentation of anatomical structures in 3D medical image data. The author's core methodological contribution is a novel deformation model that overcomes limitations of state-of-the-art Deformable Surface approaches, hence allowing for accurate segmentation of tip- and ridge-shaped features of anatomical structures. As for practical contributions, she proposes application-specific segmentation pipelines for a range of anatom.