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Record W4391361669 · doi:10.1080/23311886.2024.2302217

Digital transformation in an emerging economy: exploring organizational drivers

2024· article· en· W4391361669 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

VenueCogent Social Sciences · 2024
Typearticle
Languageen
FieldDecision Sciences
TopicTechnology Adoption and User Behaviour
Canadian institutionsRed Deer Polytechnic
Fundersnot available
KeywordsDigital economyDigital transformationTransformation (genetics)BusinessEconomic systemEmerging marketsEconomyKnowledge managementPolitical scienceEconomicsComputer science

Abstract

fetched live from OpenAlex

While there is sufficient evidence from empirical studies that digital technologies are strategic resources for value creation, existing literature on the theme lacks general concepts that explore an organization’s strategic resources concerning digital orientations and transformation initiatives. This study hence builds on a resource-based view with digital orientation literature to conceptualize a novel strategic orientation concept to understand the attitude toward digital innovation integration among firms in an emerging and developing country. This study tests a new conceptual framework using survey data from 472 employees of small-to-medium-sized service-based firms and employing structural equation model analysis with a variance-based SEM approach. Our empirical results showed that IT infrastructural availability and digital innovation investment are significant organizational drivers that have a direct relationship with attitude toward digital innovation integration among firms whereas IT competencies, digital innovation management, and knowledge of digital innovation are not significant with attitude toward digital innovation integration. More importantly, our findings advance the literature on a firm’s strategic resources and bring the realms of strategy and digital orientation closer together. The study provides valuable insights for management and shareholders regarding the specific drivers that affect the adoption of digital technologies among service-based SMEs in emerging economies.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.250
Threshold uncertainty score0.786

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0010.003
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 head0.258
GPT teacher head0.414
Teacher spread0.157 · 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