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Record W2294572605 · doi:10.1109/hicss.2016.656

Effects of Information Technology on Team Innovation and Inter-Team Coordination: An Exploratory Investigation of Process Ambidexterity

2016· article· en· W2294572605 on OpenAlexaff
Chanhee Kwak, Junyeong Lee, Heeseok Lee

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPsychology
TopicTeam Dynamics and Performance
Canadian institutionsKootenay Association for Science & Technology
Fundersnot available
KeywordsAmbidexterityStandardizationProcess (computing)EnablingKnowledge managementProcess managementTeam compositionTeam effectivenessBusinessBusiness processOrder (exchange)Computer scienceWork in processPsychologyMarketing

Abstract

fetched live from OpenAlex

Business processes are vital for organizational operations. In order to understand the role of process, we use the input-process-output framework to study how standardization and agility of processes are related to inter-team coordination and team innovation. Furthermore, we investigate the effects of information technology (IT) on the capabilities of these processes. In order to conduct a team-level study, 139 teams composed of 1232 individuals from seven Korean companies were analyzed. Our findings are three-fold. First, IT strengthens process capabilities as an enabler. Second, process agility can improve inter-team coordination and team innovation. Third, process standardization has an unexpected positive effect on both inter-team coordination and team innovation.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.371
Threshold uncertainty score0.262

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.011
GPT teacher head0.276
Teacher spread0.265 · 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

Citations3
Published2016
Admission routes1
Has abstractyes

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