Einführung in die Qualitative Marktforschung

Polonsky, Michael Jay; Doppler, Susanne

doi:10.1007/978-3-658-25108-6

Cited by 15 publications

(4 citation statements)

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“…To enable a holistic view, individuals from related fields of research were also considered. According to Steffen and Doppler (2019), defining criteria before contact ensures credibility of the results and guarantees the most relevant and heterogeneous findings possible. 26 individuals, already known by the researchers, were contacted based on the stated criteria, 17 agreed to an interview.…”

Section: Methodology Of Research and Interview Study Profilementioning

confidence: 99%

“…At the beginning of each interview section, a definition of each topic was given, such as modular product development, SGE, future robustness, strategic foresight and upgradability. This increased the validity of the statements by creating a common basic understanding (Steffen and Doppler, 2019). The questions were asked as openly and standardized as possible and could be answered through personal experience.…”

Section: Methodology Of Research and Interview Study Profilementioning

confidence: 99%

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Future-robust product design – validating influencing factors on upgradeable mechatronic systems

Kuebler,

Lange,

Glasmacher

et al. 2024

Proc. Des. Soc.

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This paper examines upgradability through modular product design, aiming to extend lifecycles and promote cross-generational use. It builds up on a preceding work, a systematic literature- review identifying four fields of action in future-robust product design. The paper itself contains an in-depth interview study with 17 experts from industry and research to validate and expand the literature-based fields of action. The results provide insights into the application and employment of future-robust product design, with a focus on adaptable product architectures.

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Section: Methodology Of Research and Interview Study Profilementioning

confidence: 99%

Section: Methodology Of Research and Interview Study Profilementioning

confidence: 99%

Future-robust product design – validating influencing factors on upgradeable mechatronic systems

Kuebler,

Lange,

Glasmacher

et al. 2024

Proc. Des. Soc.

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“…Data collection through researcher observation is highly suitable in interactive experimental settings with dynamic group discussions. The goal was to capture verbal data, i.e., what is discussed, how by whom and when, as well as interactions among group members (Steffen and Doppler, 2019). Since an observer must select which person and interaction is the object of observation (selection problem), a result bias can occur (Steffen and Doppler, 2019).…”

Section: Experiments Stage 1 Andmentioning

confidence: 99%

“…The goal was to capture verbal data, i.e., what is discussed, how by whom and when, as well as interactions among group members (Steffen and Doppler, 2019). Since an observer must select which person and interaction is the object of observation (selection problem), a result bias can occur (Steffen and Doppler, 2019). We addressed this potential issue by briefing observers beforehand on the observation protocol and guiding questions.…”

Section: Experiments Stage 1 Andmentioning

confidence: 99%

On the interplay of data and cognitive bias in crisis information management -- An exploratory study on epidemic response

Paulus¹,

Fathi²,

Fiedrich³

et al. 2022

Preprint

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Humanitarian crises, such as the 2014 West Africa Ebola epidemic, challenge information management and thereby threaten the digital resilience of the responding organizations. Crisis information management (CIM) is characterised by the urgency to respond despite the uncertainty of the situation. Coupled with high stakes, limited resources and a high cognitive load, crises are prone to induce biases in the data and the cognitive processes of analysts and decision-makers. When biases remain undetected and untreated in CIM, they may lead to decisions based on biased information, increasing the risk of an inefficient response. Literature suggests that crisis response needs to address the initial uncertainty and possible biases by adapting to new and better information as it becomes available. However, we know little about whether adaptive approaches mitigate the interplay of data and cognitive biases.We investigated this question in an exploratory, three-stage experiment on epidemic response. Our participants were experienced practitioners in the fields of crisis decision-making and information analysis. We found that analysts fail to successfully debias data, even when biases are detected, and that this failure can be attributed to undervaluing debiasing efforts in favor of rapid results. This failure leads to the development of biased information products that are conveyed to decision-makers, who consequently make decisions based on biased information. Confirmation bias reinforces the reliance on conclu-D.

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Strategische Vorabentscheidungen

Heidig

Dobbelstein²

2021

Quick Guide Marktforschung Im Mittelstand

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Einführung in die Qualitative Marktforschung

Abstract: Die Deutsche Nationalbibliothek verzeichnet diese Publikation in der Deutschen Nationalbibliografie; detaillierte bibliografische Daten sind im Internet über http://dnb.d-nb.de abrufbar.

Cited by 15 publications

References 0 publications

Future-robust product design – validating influencing factors on upgradeable mechatronic systems

Future-robust product design – validating influencing factors on upgradeable mechatronic systems

On the interplay of data and cognitive bias in crisis information management -- An exploratory study on epidemic response

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