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Survival in Hypercompetitive Environments: Digital Transformation at IT World Canada

2021· article· en· W3210125403 on OpenAlexaffabout
Douglas Sparkes, James H. Love

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInformation Technology Governance and Strategy
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsDigital transformationAgile software developmentValue propositionBusinessAdaptation (eye)Digital strategyProcess (computing)Face (sociological concept)Process managementKnowledge managementComputer scienceMarketingManagementEconomicsSociology

Abstract

fetched live from OpenAlex

The world is entering a period of unprecedented change, perhaps greater than any time in history. Not only is the acceleration of new technologies impacting a wide range of industries, but it is accompanied by the development of environmental and social disruptions.Increasingly, digital transformation is becoming a question of survival, with firms having to re-envision their organizational architecture and associated Information Technology infrastructure. This has been necessitated as firms face adaptation to hypercompetitive markets along with technological and social changes.Successful digital transformation is not simply a technological activity, but requires the firm to develop new capabilities, organizational processes, business models and value proposition to become more agile and maintain competitiveness. A critical aspect of this transformation is strategic planning and implementation. In this paper we examine digital transformation through the experience of a Canadian publisher, IT World Canada (ITWC), as it goes through its continuing transformation from a conventional to fully digital publisher, we specifically discuss its approach to strategic planning for transformation and its approach to implementation. We conclude with a discussion of how this has impacted the firm and lessons learned in this experience.

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.

How this classification was reachedexpand

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.911
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.008
GPT teacher head0.170
Teacher spread0.163 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2021
Admission routes2
Has abstractyes

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