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Record W1988136222 · doi:10.1108/00251740810911966

The multi‐tasking paradox: perceptions, problems and strategies

2008· article· en· W1988136222 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueManagement Decision · 2008
Typearticle
Languageen
FieldDecision Sciences
TopicPersonal Information Management and User Behavior
Canadian institutionsWorld Federation of Science JournalistsConcordia University
Fundersnot available
KeywordsHuman multitaskingPerceptionProductivityContext (archaeology)Task (project management)StructuringInformation technologyPhenomenonCoping (psychology)Knowledge managementPsychologyComputer scienceMarketingBusinessCognitive psychologyManagementEconomics

Abstract

fetched live from OpenAlex

Purpose The purpose of this article is to describe multi‐tasking behaviour in the workplace; to link its cause to the increasing prevalence of low‐cost information and communications technologies and to the changing organizational structures that have evolved to meet the demands and opportunities of these technologies. Design/methodology/approach This article is a presentation of the current literature on multi‐tasking behaviour among knowledge workers with a selective bibliography addressing empirical research into the behavioural, managerial and technological aspects of this phenomenon. It then expands to comprehensive coverage of the literature on past and current thinking about task structuring, strategies for coping in a multi‐tasking environment and the changing nature of work and organizations, which fuels the need to multi‐task in response to these changes. Findings Among knowledge workers, multi‐tasking behaviour appears to be an inevitable consequence of the presence of increasingly easy access to information. Despite the detrimental effect that multi‐tasking has on specific task completion, the paradox is that this does not seem to have an effect on overall organizational productivity. For the USA at least, an average 4 per cent growth rate over the past several years of the late twentieth and early twenty‐first centuries shows that productivity has increased in tandem with an increase in multi‐tasking behaviour and information technologies. Practical implications Multi‐tasking behaviour needs to be understood in the context of its manifestation as a variable that is at least partially dependent on the existence of relatively “cheap” information. In essence, in an information economy, task completion by knowledge workers to a set deadline may be counterproductive to the interests of the organization as a whole. This article describes certain strategies that can be used to minimize the harmful aspects of continuous task switching and to maximize the returns to experience that multi‐tasking can bring to an organization. Originality/value Multi‐tasking behaviour and its link to complexity theory may lead to a new understanding of organizations as highly fluid and variable entities that are impossible to design or maintain centrally and yet whose goals lead to the moment by moment creation of micro‐organizational structures that accomplish tasks in a manner that engages the full resources of knowledge workers.

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.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.758
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.289
GPT teacher head0.422
Teacher spread0.133 · 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