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Record W2914983178 · doi:10.29105/rinn13.26-5

Impacto de las telecomunicaciones en la gestión de las instituciones de educación superior públicas de México: Un modelo de ecuaciones estructurales

2017· article· en· W2914983178 on OpenAlexaff
Alberto Zambrano Elizondo, José Fernando Hernández González, Juan Humberto Vela Quintero

Bibliographic record

VenueRevista Innovaciones de Negocios · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicTechnology in Education and Healthcare
Canadian institutionsImpact
Fundersnot available
KeywordsFinancial managementLikert scaleService (business)Welfare economicsStructural equation modelingBusinessTelecommunicationsHumanitiesPolitical scienceComputer scienceMathematicsMarketingEconomicsFinanceStatistics

Abstract

fetched live from OpenAlex

Abstract: The present research had as objective to know information regarding the level of relation of the telecommunications and the user and financial management in the educational institutions of higher level (IES) in Mexico, through a structural equations model. The methodology to know the impact of telecommunications in the management of users and financial management consisted of conducting surveys with 28 questions to a sample of 34 public universities in Mexico. The application of the same was of induced character, and of structured form with questions mostly by a Likert scale. Three hypotheses were formulated that we considered fundamental. To verify, a model of structural equations was designed with the telecommunications service, internal process management, user management and financial management as constructs. With data from the surveys, a cross-sectional database was created and introduced to specialized statistical analysis software called Smart PLS V. 2.0 (M3). The results of the statistical model show that the telecommunications service provided by IHEs in Mexico has a strong relationship with the management of internal processes and this in turn has a very strong relationship with user management and financial management. It is generally concluded that telecommunications that exist in public IES have a strong influence on user management and financial management supported by Internal Process Management.Keywords: management, process, structural equation model, telecommunicationsJEL: I23, O31, O32Resumen. La presente investigación tuvo como objetivo conocer información respecto al nivel de relación de las telecomunicaciones y las gestiones de usuarios y financieras en las instituciones educativas de nivel superior (IES) en México, mediante un modelo de ecuaciones estructurales. La metodología para conocer el impacto de las telecomunicaciones en la gestión de usuarios y gestión financiera, consistió en realizar encuestas con 28 preguntas a una muestra de 34 universidades públicas de México. La aplicación de los mismos fue de carácter inducida, y de forma estructurada con preguntas en su mayoría mediante una escala Likert. Se formularon 3 hipótesis que consideramos fundamentales. Para comprobar, se diseñó un modelo de ecuaciones estructurales con el servicio de las telecomunicaciones, la gestión de procesos internos, gestión de usuarios y la gestión financiera como constructos. Con los datos de las encuestas, se creó una base de datos de corte transversal que se introdujo al software especializado en análisis de datos estadísticos denominado Smart PLS V. 2.0 (M3). Los resultados del modelo estadístico presentan que el servicio de las telecomunicaciones que prestan las IES en México tienen una fuerte relación con la gestión de procesos internos y esta a su vez, tiene una muy fuerte relación con las gestiones de los usuarios y las gestiones financieras. Se concluye de manera general que las telecomunicaciones que existen en las IES públicas tienen una fuerte influencia en las gestiones de usuarios y las gestiones financieras apoyadas con las Gestiones de procesos internos.Palabras clave: gestión, modelo de ecuaciones estructurales, telecomunicaciones, procesos

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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)0.003
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.505
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0030.001
Scholarly communication0.0010.001
Open science0.0020.000
Research integrity0.0010.001
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 head0.028
GPT teacher head0.379
Teacher spread0.351 · 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 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

Citations1
Published2017
Admission routes1
Has abstractyes

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