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Record W7094319591

Disruption Ready:
\nBuilding market resilience through ‘adapted foresight’, organizational agility, 
co-creative intelligence and employee engagement

2019· other· en· W7094319591 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

VenueOCAD University Open Research Repository (OCAD University) · 2019
Typeother
Languageen
Field
Topic
Canadian institutionsOntario College of Art and Design
Fundersnot available
KeywordsDisengagement theoryFutures studiesTimelineSet (abstract data type)Product (mathematics)New product developmentPsychological resilienceFace (sociological concept)Resilience (materials science)Strategic planning
DOInot available

Abstract

fetched live from OpenAlex

In the 1920s, the average lifespan of an S&P 500 company was 67 years. Today it is 16.
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\nStrategy, foresight and disruption have always been inextricably linked. Foresight practices (either formal or informal) have provided insight to organizations about potential future disruptions (and opportunities) and organizations have reinvented their strategies to make themselves better prepared and resilient to change. Yet all is not well. Survival rates for small and young businesses are grim. Former market leaders such as Kodak, Blackberry and Nokia have failed despite having had vast strategic and financial resources at their disposal. And many other companies and industries are also in line for potential demise. With rapidly compressed timelines to develop and build profitable products and services, the speed at which an organization embraces and responds strategically to disruption is increasingly becoming a determining factor in whether it succeeds or dies. Based on an extensive literature review and primary research completed for this paper, the author surmises that this shifting market interplay between disruption, strategy and foresight is being amplified by 4 recognizable market disruption patterns: 1) Tomorrow Today: the collapse of organizational and product development timelines, 2) Fast-Fast: the inability of leadership to make faster yet effective decisions in the face of rapid market shifts, 3) The Idea Monopoly: the absence of a more organizationally diverse set of ideas available to leadership in strategy development, and 4) The Disenchanted Forest: a high level of employee disengagement which can significantly impact strategy buy-in and speed of strategy execution. The insights gained from this research paper has resulted in the development of a new and adapted strategic foresight tool in the form of a market disruption simulation game prototype. This game incorporates learnings from the 4 market disruptive patterns and aims to help time-strapped companies to better embrace a more rapidly emerging future to become more organizationally and financially resilient to increasingly volatile market environments. At the same time, the game allows foresight to begin to realign itself from a solely “long view” focus and expand into a practice that is more agile, dynamic and better suited for shorter-term futures, strategy development and execution.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.858
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.004
Science and technology studies0.0030.003
Scholarly communication0.0010.002
Open science0.0040.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.001

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 head0.081
GPT teacher head0.341
Teacher spread0.260 · 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