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Thanks to CIPAT-ESPOL for the support and accompaniment in the development of this publication and specially to Ing. Paul Carrion-Mero (CIPAT Director), Ing. Amilkar Puris-Caceres, and Eng. Paulo Escandon for their collaboration. The preparation of this study counted with the collaboration of various scientific research projects, such as the academic projects of the ESPOL University (Escuela Superior Politecnica del Litoral) with code no. CIPAT-01-2018 Registro del Patrimonio Geologico y Minero y su incidencia en la defensa y preservacion de la geodiversidad en Ecuador (Registry of Geological and Mining Heritage and its impact on the defense and preservation of geodiversity in Ecuador); the support of NOVA Science Research Associates and UTEQ project Prediccion y valoracion del exito profesional de graduados universitarios (Prediction and assessment of the professional success of university graduates), with code 44.

Analysis of institutional authors

Garzas, JAuthorRedchuk, AAuthor

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Article

Career Success in University Graduates: Evidence from an Ecuadorian Study in Los Rios Province

Publicated to:Sustainability. 13 (16): 9337- - 2021-08-01 13(16), DOI: 10.3390/su13169337

Authors: Pico-Saltos, Roberto; Bravo-Montero, Lady; Montalvan-Burbano, Nestor; Garzas, Javier; Redchuk, Andres

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Abstract

Career success and its evaluation in university graduates generate growing interest in the academy when evaluating the university according to its mission and social mandate. Therefore, monitoring university graduates is essential in measuring career success in the State Technical University of Quevedo (UTEQ, acronym in Spanish). In this sense, this article aims to identify the predictive career success factors through survey application, development of two mathematical functions, and Weka's classification learning algorithms application for objective career success levels determination in UTEQ university graduates. Researchers established a methodology that considers: (i) sample and data analysis, (ii) career success variables, (iii) variables selection, (iv) mathematical functions construction, and (v) classification models. The methodology shows the integration of the objective and subjective factors by approximating linear functions, which experts validated. Therefore, career success can classify university graduates into three levels: (1) not successful, (2) moderately successful, and (3) successful. Results showed that from 548 university graduates sample, 307 are men and 241 women. In addition, Pearson correlation coefficient between Objective Career Success (OCS) and Subjective Career Success (SCS) was 0.297, reason why construction models were separately using Weka's classification learning algorithms, which allow OCS and SCS levels classification. Between these algorithms are the following: Logistic Model Tree (LMT), J48 pruned tree, Random Forest Tree (RF), and Random Tree (RT). LMT algorithm is the best suited to the predictive objective career success factors, because it presented 76.09% of instances correctly classified, which means 417 of the 548 UTEQ university graduates correctly classified according to OCS levels. In SCS model, RF algorithm shows the best results, with 94.59% of instances correctly classified (518 university graduates). Finally, 67.1% of UTEQ university graduates are considered successful, showing compliance with the university's mission.

Keywords

Career successClassification learning algorithmsCompetitive psychological climateGender-differencesGeneral mental-abilityImpactLeader-member-exchangeObjective and subjective career success factorsPersonality-traitsProfessional successSatisfactionSelf-efficacyUniversity graduatesWork

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Sustainability due to its progression and the good impact it has achieved in recent years, according to the agency Scopus (SJR), it has become a reference in its field. In the year of publication of the work, 2021, it was in position , thus managing to position itself as a Q1 (Primer Cuartil), in the category Geography, Planning and Development.

From a relative perspective, and based on the normalized impact indicator calculated from the Field Citation Ratio (FCR) of the Dimensions source, it yields a value of: 3.23, which indicates that, compared to works in the same discipline and in the same year of publication, it ranks as a work cited above average. (source consulted: Dimensions Jun 2025)

Specifically, and according to different indexing agencies, this work has accumulated citations as of 2025-06-06, the following number of citations:

  • WoS: 5
  • Scopus: 5
  • OpenCitations: 3

Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2025-06-06:

  • The use, from an academic perspective evidenced by the Altmetric agency indicator referring to aggregations made by the personal bibliographic manager Mendeley, gives us a total of: 49.
  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 49 (PlumX).

With a more dissemination-oriented intent and targeting more general audiences, we can observe other more global scores such as:

  • The Total Score from Altmetric: 1.
  • The number of mentions on the social network X (formerly Twitter): 1 (Altmetric).

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

  • The work has been submitted to a journal whose editorial policy allows open Open Access publication.

Leadership analysis of institutional authors

This work has been carried out with international collaboration, specifically with researchers from: Ecuador.

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author () and Last Author (Redchuk Cisterna, Andrés).

the author responsible for correspondence tasks has been .