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Coping with Information Technology

2009· book-chapter· en· W2504584568 on OpenAlexaff
Anne Beaudry

Bibliographic record

VenueIGI Global eBooks · 2009
Typebook-chapter
Languageen
FieldDecision Sciences
TopicTechnology Adoption and User Behaviour
Canadian institutionsConcordia University
Fundersnot available
KeywordsExtant taxonCoping (psychology)Adaptation (eye)ImplementationProcess (computing)PsychologyComputer scienceManagement scienceKnowledge managementEngineeringPsychotherapist

Abstract

fetched live from OpenAlex

New information technology implementations, as major modifications to existing ones, bring about changes in the work environment of individuals that trigger an important adaptation process. Extant research on the adaptation process individuals go through when a new IT is implemented in their working environment is rather limited. Furthermore, variance theories and models useful to explain IT adoption and use are not well suited to study the dynamics underlying the adaptation process. Coping theory, because it links antecedents, adaptation behaviors, and outcomes altogether, provides a rich lens through which we can study individuals’ IT-related adaptation process. A better understanding of this process will enable researchers and practitioners to understand and predict IT acceptance and related behaviors and thus to better manage them. This chapter presents coping theory, its underlying assumptions and inherent components, discusses its application, highlights the complementarities with existing models and theories currently used in IS research, and provides several avenues for future research in this area.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.454
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
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.002

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 head0.045
GPT teacher head0.319
Teacher spread0.274 · 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 designTheoretical or conceptual
Domainnot available
GenreOther

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

Citations6
Published2009
Admission routes1
Has abstractyes

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