Qualitative research: extending the range with flexible pattern matching
| Autor: | Ricarda B. Bouncken, Wolfgang Kürsten, Noemi Sinkovics, Yixin Qiu |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Computer science
Process (engineering) Context (language use) Development theory Machine learning computer.software_genre Grounded theory 0502 economics and business Pattern matching business.industry 05 social sciences Qualitative rigor Qualitative methods General Business Management and Accounting Popularity Range (mathematics) Flexible pattern matching Connecting theories and data 050211 marketing Artificial intelligence business computer 050203 business & management Qualitative research |
| Zdroj: | Review of Managerial Science. 15:251-273 |
| ISSN: | 1863-6691 1863-6683 |
| DOI: | 10.1007/s11846-021-00451-2 |
| Popis: | The flexible pattern matching approach has witnessed increasing popularity. By combining deduction with induction in logic, flexible pattern matching is well suited for exploration and theory development. The paper discusses its logic, advantages and process of this approach while offering a review of research adopting this approach. We also compare and contrast it with another popular qualitative data analysis technique, the grounded theory approach, to further ground the method on the established knowledge and elaborate its strength and fitting context. This paper advances the flexible pattern matching approach by suggesting a five-step roadmap to conduct qualitative research with the approach. |
| Databáze: | OpenAIRE |
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