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Arch G. Woodside - Case Study Research, Inbunden

Inbunden, Engelska, 2016

Case Study Research

Core Skills in Using 15 Genres

Av Arch G. Woodside

1179 kr

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Beskrivning
Case Study Research: Core Skills in Using 15 Genres examines the processes involved in conducting case research in a number of genres including participant observation, fuzzy set social science, system dynamics, decision systems analysis, forced metaphor elicitation technique, ethnographic decision tree modeling, mapping strategic thinking, the historical method, storytelling research and conversational analysis. The book reviews and applies the best literature on case study methods from a number of disciplines providing a strong rationale for adopting case study research methods alone or in mixed-methods. This fully revised and updated second edition employs a broad and deep coverage of multiple case study research genres to comprehensively explore the topic.
Produktinformation
  • Utgivningsdatum: 2016-12-16
  • Mått: 152 x 229 x 28 mm
  • Vikt: 950 g
  • Format: Inbunden
  • Språk: Engelska
  • Antal sidor: 552
  • Upplaga: 2
  • Förlag: Emerald Publishing Limited
  • ISBN: 9781785604614
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Mer information

Vicki Ross, Northern Arizona University, Flagstaff, AZ, USA Elaine Chan, University of Nebraska-Lincoln, Lincoln, NE, USA Dixie K. Keyes, Arkansas State University, Jonesboro, AR, USA

Recensioner i media

This reference and guide for students, researchers, and scholars presents case-based theory, method, and applications and offers guidelines for conducting case study research in 15 genres, including participant observation research, ethnographic decision-tree modeling, the historical method, conversational analysis, and the forced metaphor elicitation technique. The closing chapter offers 12 principles to implement in real-life contexts. B&w photos, charts, and process diagrams are included. This second edition contains three new chapters on exchange (talk) behavior in natural settings, visualizing-matching-generalizing, and constructing case-based macro models.

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