Bachelorarbeit, 2016
50 Seiten, Note: 1,7
1. Introduction
1.1 The adaptive toolbox
1.2 Motivation
1.3 Outline
2. Background
2.1 Open laboratories and open innovation activities
2.2 The adaptive toolbox
2.2.1 Fast and frugal heuristics
2.2.2 Ecological rationality and domain-specificity
2.3 Assignment of the concept to visions of rationality
2.3.1 Comparison with demons
2.3.2 Comparison with bounded rationality
3. Methodological approach
3.1 The research question
3.2 Formalised research design
3.2.1 The environment
3.2.1.1 Description of the FabLab in Nuremberg
3.2.1.2 Description of the OpenLab in the FabLab
3.2.1.3 Evaluation of the suitability of the FabLab and the OpenLab event for research on heuristics
3.2.2 Explorative and qualitative measures
3.2.2.1 The semi-structured interview
3.2.2.2 The transcription
4. Results of the data analysis
4.1 Profiling of the sample
4.2 Evaluation of the environment
4.3 Classification of the heuristics
5. Discussion – the significance of this explorative attitude survey
5.1 Limitations
5.2 Opportunities for future research
This thesis investigates how individuals apply cognitive mechanisms known as heuristics to navigate complex problem-solving tasks within open innovation environments. By conducting a qualitative attitude survey at the FabLab in Nuremberg, the study aims to identify the specific heuristics deployed by participants and to establish a typology that categorizes these techniques based on individual motives.
2.2 The adaptive toolbox
As hinted in the introduction, the theory behind the adaptive toolbox concerns itself with a set of numerous heuristics, whose task is to support individuals at adapting themselves to the social and physical circumstances of an environment (Gigerenzer & Todd, 1999).
In principle, one can imagine the mentioned heuristics as shortcuts simplifying the trains of thought in a situation where resources like time and knowledge are scarce and a quick decision is forced (Gigerenzer, 2003). According to Johnson & Payne (1985; Gigerenzer & Todd, 1999), the pursuit of success also belongs to the influential external factors.
1. Introduction: Introduces the core concepts of heuristics and the adaptive toolbox, establishing the thesis's motivation and research outline.
2. Background: Provides the theoretical framework, detailing open innovation laboratories, Gigerenzer’s adaptive toolbox, and comparisons with various visions of rationality.
3. Methodological approach: Explains the research design, including the choice of qualitative methods like semi-structured interviews at the FabLab to answer the research question.
4. Results of the data analysis: Presents the gathered data, covering the profiles of interviewees, their perception of the environment, and the classification of detected heuristics.
5. Discussion – the significance of this explorative attitude survey: Evaluates the study's findings, acknowledges methodological limitations, and suggests paths for future scientific research.
Heuristics, Open Innovation, Adaptive Toolbox, Ecological Rationality, Bounded Rationality, FabLab, Qualitative Research, Decision-making, Problem-solving, Cognitive Mechanisms, Innovation Management, Attitude Survey, Individual Motives, Semi-structured Interviews, Practical Competencies
The work investigates the use of heuristics—simple mental shortcuts—by individuals engaged in open innovation activities at a FabLab, examining how these cognitive tools assist in solving practical problems under limited resources.
Central themes include the "adaptive toolbox" theory, the interplay between environmental structures and human cognition, the practical challenges of open innovation, and the categorization of heuristic-based problem-solving strategies.
The research aims to identify which specific heuristics individuals deploy in open innovation environments and to propose a structured typology for categorizing these techniques based on the users' underlying motives.
The author employs a qualitative, explorative attitude survey, involving semi-structured interviews with 10 participants at the FabLab in Nuremberg, followed by a systematic content analysis of the transcriptions.
The main section covers the theoretical grounding of heuristics, the description of the FabLab environment, the methodology, the analysis of gathered interview data, and a critical discussion of the results and their implications.
Key concepts include heuristics, open innovation, adaptive toolbox, ecological rationality, bounded rationality, decision-making, and qualitative research.
The study suggests that the FabLab acts as an "ecologically rational" environment where technical accessibility and peer knowledge sharing support individuals in employing heuristics to bypass complex calculations, thereby saving time and resources.
The heuristics were categorized into five types: outside-in heuristic, agile development, individual parametrisation (harmonizing secondary or primary sources), DIY-heuristic, and mediation, sorted by motives like experience, reduction of complexity, and scarcity of resources.
No, the study invalidates the common misconception that heuristics are error-prone; instead, it demonstrates that individuals consciously use them as efficient, sufficient, and rational tools for complex problems.
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