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Multilingual Elite-interviews and Software-based Analysis
- Source :
- Sinkovics, R R & Penz, E 2011, ' Multilingual elite-interviews and software-based analysis: Problems and solutions based on CAQDAS ', International journal of market research, vol. 53, no. 5 . https://doi.org/10.2501/IJMR-53-5-705-724
- Publication Year :
- 2011
- Publisher :
- SAGE Publications, 2011.
-
Abstract
- Qualitative international research is increasingly popular in marketing, management and business practice. Cultural dimensions, most importantly language, play a central role in this research context. The importance of language in the context of questionnaire design and international data gathering has long been stressed in various sources (Pike 1966; Brislin 1970; Piekkari & Welch 2004). However, the practice of qualitative data collection and analysis has not been addressed sufficiently, although new and innovative software-based tools are available to help these efforts. This paper deals with methodological and practical issues in analysing qualitative interviews with corporate elites. We illustrate conceptual challenges in setting up qualitative projects that build on interviewing corporate elites and address practical implementation issues in terms of multilingual coding, node creation and theory building by means of computerassisted qualitative data analysis software (CAQDAS). To this end a specific empirical example will be used.
- Subjects :
- Marketing
Economics and Econometrics
Computer-assisted qualitative data analysis software
Data collection
Knowledge management
Interview
Management science
business.industry
CAQDAS
Qualitative property
Context (language use)
Equivalence
Interviews
Qualitative research
Hofstede's cultural dimensions theory
Sociology
Business and International Management
business
Language
Coding (social sciences)
Subjects
Details
- ISSN :
- 25152173 and 14707853
- Volume :
- 53
- Database :
- OpenAIRE
- Journal :
- International Journal of Market Research
- Accession number :
- edsair.doi.dedup.....99ce0bad5fa82b2cb9c0b4cc0841e670
- Full Text :
- https://doi.org/10.2501/ijmr-53-5-705-724