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Doing Design Thinking: Conceptual Review, Synthesis and Research Agenda

2018· article· en· W2837955947 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAcademy of Management Proceedings · 2018
Typearticle
Languageen
FieldEngineering
TopicDesign Education and Practice
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsCreativityConstruct (python library)Design thinkingConsistency (knowledge bases)EpistemologyProcess (computing)Management scienceCategorizationSociologyOrder (exchange)Engineering ethicsCritical systems thinkingThinking processesSystematic processComputer scienceKnowledge managementCritical thinkingPsychologyWork in processSocial psychologyEngineeringBusinessArtificial intelligenceStatistical thinkingMathematics educationOperations management

Abstract

fetched live from OpenAlex

Design thinking is attracting considerable interest from practitioners and academics alike, as it offers a novel approach to innovation and problem solving. However, there appear to be substantial differences between promoters and critics about what design thinking is and what it can do. While some authors regard it as a new and effective way to foster creativity and innovation, others consider it a management fad built on a misunderstood notion of design practices. This paper draws upon the concept of “umbrella constructs” (Hirsch and Levin, 1999) - those whose inherent indeterminacy can undermine their development and, ultimately, lead to what Hirsch and Levin term “construct collapse.” Accordingly, we delve into current conceptualizations of design thinking in order to identify emerging issues, consider divergent interpretations, and integrate conflicting views. We begin by presenting a systematic review of the literature. This exercise enables us to categorize the constituent components of design thinking and develop a process model that brings together process- and individual-level attributes as well as main tools. Next, we problematize studies on design thinking by evaluating assumptions that are made by its advocates. We conclude by proposing an agenda for future studies, which we believe will promote sufficient consistency in defining design thinking and will foster further exploration and development.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.904
Threshold uncertainty score0.501

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.111
GPT teacher head0.362
Teacher spread0.251 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it