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Time Management Practices and Its Effect on Business Performance

2013· article· en· W1808326371 on OpenAlexvenueno aff
J. F. Adebisi

Bibliographic record

VenueCanadian social science · 2013
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicBusiness Strategies and Innovation
Canadian institutionsnot available
Fundersnot available
KeywordsCompetition (biology)Variance (accounting)BusinessHabitKey (lock)Business managementScale (ratio)Business relationship managementTime managementMarketingKnowledge managementProcess managementOperations managementComputer scienceManagementPsychologyElectronic businessEconomicsBusiness modelBusiness administrationAccounting

Abstract

fetched live from OpenAlex

The concept of time management started with industrial revolution and became the modern notion of doing things effectively and efficiently. It is one of the fundamental skills needed to be successful in life but people including business organization failed to treat it as serious factor to their survival. This study examine its effect on the performance of business and forty three small and medium scale enterprise were selected for the study. Data were collected with the aid of questionnaire administered to 120 personnel of the organizations. The data was further analyzed in table and tested research hypothesis with Analysis of variance. Findings revealed that time management enable most of the organizations studied to survive competition and get more business. We therefore conclude that there is significant and positive relationship between time management practices and the performance of business. We also therefore recommend that business and including individuals should cultivate the habit of time management so that they become successful in what they do. Key words : Time management; Business performance; Effectiveness; Efficiency

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)0.001
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.014
GPT teacher head0.224
Teacher spread0.210 · 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 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

Citations39
Published2013
Admission routes1
Has abstractyes

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