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Record W2151835681 · doi:10.1287/orsc.1070.0307

Information Technology and the Changing Fabric of Organization

2007· article· en· W2151835681 on OpenAlexaff
Raymond F. Zammuto, Terri L. Griffith, Ann Majchrzak, Deborah Dougherty, Samer Faraj

Bibliographic record

VenueOrganization Science · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicInformation Systems Theories and Implementation
Canadian institutionsMcGill University
Fundersnot available
KeywordsAffordanceKnowledge managementInformation technologyFunction (biology)Organizational studiesOrganizational learningService (business)HierarchyComputer scienceBusinessMarketingPolitical science

Abstract

fetched live from OpenAlex

Technology has been an important theme in the study of organizational form and function since the 1950s. However, organization science's interest in this relationship has declined significantly over the past 30 years, a period during which information technologies have become pervasive in organizations and brought about significant changes in them. Organizing no longer needs to take place around hierarchy and the collection, storage, and distribution of information as was the case with “command and control” bureaucracies in the past. The adoption of innovations in information technology (IT) and organizational practices since the 1990s now make it possible to organize around what can be done with information. These changes are not the result of information technologies per se, but of the combination of their features with organizational arrangements and practices that support their use. Yet concepts and theories of organizational form and function remain remarkably silent about these changes. Our analysis offers five affordances—visualizing entire work processes, real-time/flexible product and service innovation, virtual collaboration, mass collaboration, and simulation/synthetic reality—that can result from the intersection of technology and organizational features. We explore how these affordances can result in new forms of organizing. Examples from the articles in this special issue “Information Technology and Organizational Form and Function” are used to show the kinds of opportunities that are created in our understanding of organizations when the “black boxes” of technology and organization are simultaneously unpacked.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.016
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.005
Science and technology studies0.0050.050
Scholarly communication0.0160.014
Open science0.0010.006
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0040.001

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 head0.005
GPT teacher head0.274
Teacher spread0.269 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

Citations1,122
Published2007
Admission routes1
Has abstractyes

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