The application of concurrent or sequential mixed-Methods research designs and their methodological implications : investigating tacit knowledge, its use, and application in automotive development / Robin Bell, Vessela Warren, René Schmidt.
Mixed-methods research designs are a popular approach to research that can offer the advantages of both quantitative and qualitative data. However, using two types of data within one piece of research also presents challenges. To minimize these challenges and maximize the potential benefits, it is i...
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| Main Authors: | , , |
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| Format: | Ebook |
| Language: | English |
| Published: |
London :
SAGE Publications, Ltd.,
2022.
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| Series: | SAGE research methods cases.
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| Subjects: | |
| Online Access: | SAGE |
| Summary: | Mixed-methods research designs are a popular approach to research that can offer the advantages of both quantitative and qualitative data. However, using two types of data within one piece of research also presents challenges. To minimize these challenges and maximize the potential benefits, it is important for mixed-methods research projects to be well planned and thought out. This case study explores and discusses the use of concurrent and sequential mixed-methods research designs and the implications on the data collection and analysis processes, as well as the underpinning research philosophy. Specifically, this case study examines the use of a mixed-method research design in a study exploring the forms of tacit knowledge requested of employees in the automotive industry and how and why these forms of tacit knowledge are used. Understanding available options for data collection and their influence on the research process is essential to making an informed decision about whether to follow a concurrent or sequential mixed-methods research design. |
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| Physical Description: | 1 online resource. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 1529604478 9781529604474 |