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Record W4288042510 · doi:10.1145/3551783.3551790

Conceptualizing Information Systems Development as an Organizational Routine

2022· article· en· W4288042510 on OpenAlexaff
Grégory Vial, Suzanne Rivard

Bibliographic record

VenueACM SIGMIS Database the DATABASE for Advances in Information Systems · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicInformation Systems Theories and Implementation
Canadian institutionsHEC Montréal
Fundersnot available
KeywordsConceptualizationOstensive definitionOntologyKnowledge managementPerformative utterancePhenomenonPerspective (graphical)EpistemologyComputer scienceAgency (philosophy)Information systemSociologyData scienceEngineeringArtificial intelligence

Abstract

fetched live from OpenAlex

Research acknowledges that information systems development (ISD) teams experiment with, overlook, or adapt the methods that they purportedly use. Given this, one stream of research adopts a perspective focused on prescriptions based on the idea of a method. Another stream of research adopts a perspective anchored in the view that human agency plays a critical role in the unfolding of ISD projects. We suggest that our understanding of ISD can be enriched by mobilizing both perspectives. Specifically, we propose a conceptualization of ISD as an organizational routine based on the ontology developed by Feldman and Pentland. We build on the elements of this ontology- (1) the idea of a routine (the ostensive aspect) and (2) its enactment (the performative aspect) as the two mutually constitutive aspects of organizational routines; and (3) the role of artifacts as mediators of the relationship between actors and the ostensive and performative aspects of organizational routines - to develop theoretical arguments explaining the benefits of applying this ontology to the ISD phenomenon. Extending the contextual boundaries of Feldman and Pentland's ontology, we propose research avenues that have the potential to contribute to our understanding of this core phenomenon of the IS discipline.

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)0.008
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.873
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.000
Scholarly communication0.0010.027
Open science0.0010.000
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 head0.029
GPT teacher head0.339
Teacher spread0.309 · 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
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
Published2022
Admission routes1
Has abstractyes

Explore more

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