빅데이터 분석 활용을 위한 디자인 씽킹의 데스크 리서치 과정 연구 = Study of the Desk Research Process for utilizing Big Data Analysis in Design Thinking

다국어 초록 (Multilingual Abstract)

Background Big data analysis is being utilized in various fields to gain insights from a body of data. In an infant stage of design thinking, secondary research aims to estimate potential markets, new opportunities and setting a direction. Hence, this research intends to analyze the desk research process for discovering problems in design thinking and examine what we can expect to use big data analysis.
Methods Through interviews with experts, the study investigates desk research experience in a design project using design thinking. Each interview was conducted for about 2 hours and was analyzed using thematic analysis. Based on findings and literature research, it ponders upon desk research processes considers meanings and chances that utilization of big data analysis has.
Results Through 508 in-vivo codes from interviews, 9, 32 and 29 categories were derived under the themes of ‘experience in problem-discovering process’, ‘information in desk research’ and ‘data application’, respectively. The desk research process is presented as a framework where macro-research is initiated, followed by repetitive research.
Conclusion As for the categories under the grouped ‘information in desk research’, it shows that using big data analysis may be effective when researching ‘info related to change’, ‘current and various info’ and ‘info closely related to insights’. There is a chance for compensating the defects of the existing desk research in terms of identification of significance and correlation, overall understanding and human-related data collection. It is expected that big data analysis will be used for reliable desk research that can set a correct problem.

참고문헌 (Reference)

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