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Record W3197027726 · doi:10.5267/j.uscm.2021.6.013

Driving growth performance shaped by environmental uncertainty and integrative strategy: The supply chain analysis of business transformation in ICT companies

2021· article· en· W3197027726 on OpenAlexvenueno aff
Librita Arifiani, Harjanto Prabowo, Asnan Furinto, Wibowo Kosasih

Bibliographic record

VenueUncertain Supply Chain Management · 2021
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicFirm Innovation and Growth
Canadian institutionsnot available
Fundersnot available
KeywordsInformation and Communications TechnologyBusinessPath analysis (statistics)Competition (biology)MarketingCreativityKnowledge managementIndustrial organizationSupply chainInformation technologyProcess managementComputer sciencePsychology

Abstract

fetched live from OpenAlex

This study examines the impact of environmental uncertainty and integrative strategy on growth of firm performance through the mediating role of the Business Model Transformation (BMT) strategy of information communication technology (ICT) in Indonesia. The research data was collected from the executive management of ICT through survey research with 30 questionnaire surveys and exploratory study with seven company leaders through in-depth interviews. This study analyzes the suitability of the overall model through causal relationships using Partial Least Square-Path Modeling (PLS-PM). The results show that the BMT predominantly influences the growth of ICT companies. The BMT is predominantly built by the environmental uncertainty (ET) strategy rather than by integrative capability. Thus, companies need to improve their ability and creativity to anticipate and adapt to any uncertainty that unexpectedly results in dynamic competition.

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)0.001
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 score0.320
Threshold uncertainty score0.936

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
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 head0.014
GPT teacher head0.203
Teacher spread0.189 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations4
Published2021
Admission routes1
Has abstractyes

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