Efectos de la  responsabilidad social empresarial sobre la identificación organizacional de los empleados:  Autenticidad o falacia

Contreras-Pacheco, Orlando E.; Sarmiento, Leonardo Hernán Talero; Camacho-Pinto, Julio Cesar

doi:10.22201/fca.24488410e.2018.1631

Cited by 14 publications

(8 citation statements)

References 55 publications

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“…This study advances the theoretical foundations of usability testing by standardizing the evaluation process across different methodologies and scenarios. It offers a structured approach that addresses inconsistencies in current practices and contributes to theoretical advancements in computing [63][64][65][66][67], especially when facing instruments with diverse numbers of items per construct [69,70]. Practically, this method facilitates the adoption of mixed-method approaches, expanding the applicability and relevance of heuristic evaluations in the evolving landscape of human-computer interaction [56].…”

Section: Discussionmentioning

confidence: 99%

“…Different strategies arise in the literature to enhance the instrument's consistency and effectiveness [64]. Maintaining a uniform scale, measurement level, or end-point scale across all analyzed items or constructs helps to unveil the similarities between latent variables [65], especially for multivariate and correlational models [66]. Using the same number of items ensures that different test versions are consistent and can be compared across different administrations or populations, helping the generalizability of the results [67].…”

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confidence: 99%

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Towards a Refined Heuristic Evaluation: Incorporating Hierarchical Analysis for Weighted Usability Assessment

Talero-Sarmiento,

Gonzalez-Capdevila,

Granollers

et al. 2024

BDCC

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This study explores the implementation of the analytic hierarchy process in usability evaluations, specifically focusing on user interface assessment during software development phases. Addressing the challenge of diverse and unstandardized evaluation methodologies, our research develops and applies a tailored algorithm that simplifies heuristic prioritization. This novel method combines the analytic hierarchy process framework with a bespoke algorithm that leverages transitive properties for efficient pairwise comparisons, significantly reducing the evaluative workload. The algorithm is designed to facilitate the estimation of heuristic relevance regardless of the number of items per heuristic or the item scale, thereby streamlining the evaluation process. Rigorous simulation testing of this tailored algorithm is complemented by its empirical application, where seven usability experts evaluate a web interface. This practical implementation demonstrates our method’s ability to decrease the necessary comparisons and simplify the complexity and workload associated with the traditional prioritization process. Additionally, it improves the accuracy and relevance of the user interface usability heuristic testing results. By prioritizing heuristics based on their importance as determined by the Usability Testing Leader—rather than merely depending on the number of items, scale, or heuristics—our approach ensures that evaluations focus on the most critical usability aspects from the start. The findings from this study highlight the importance of expert-driven evaluations for gaining a thorough understanding of heuristic UI assessment, offering a wider perspective than user-perception-based methods like the questionnaire approach. Our research contributes to advancing UI evaluation methodologies, offering an organized and effective framework for future usability testing endeavors.

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Section: Discussionmentioning

confidence: 99%

mentioning

confidence: 99%

Towards a Refined Heuristic Evaluation: Incorporating Hierarchical Analysis for Weighted Usability Assessment

Talero-Sarmiento,

Gonzalez-Capdevila,

Granollers

et al. 2024

BDCC

View full text Add to dashboard Cite

show abstract

“…Different strategies arise in literature to enhance the instrument's consistency and effectiveness [60]. Maintaining a uniform scale, measurement level, or end-point scale across all analyzed items or constructs help to unveiling the similarities between latent variables [61], specially for multivariate and correlational models [62]. Using the same number of items ensures that different test versions are consistent and can be compared across different administrations or populations, helping the generalizability of the results [63].…”

Section: Evaluators Biasesmentioning

confidence: 99%

Towards a Refined Heuristic Evaluation: Incorporating Hierarchical Analysis for Weighted Usability Assessment

Talero-Sarmiento,

Gonzalez-Capdevilla,

Granollers

et al. 2024

Preprint

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This study delves into the realm of heuristic evaluation within usability testing, focusing on refining and applying a tailored algorithm that simplifies the implementation of the Analytic Hierarchy Process for heuristic prioritization. Addressing the prevalent challenge of disparate evaluation methodologies and the absence of a standardized process in usability testing, our research introduces a novel method that leverages the Analytic Hierarchy Process alongside a bespoke algorithm. This algorithm utilizes transitive properties for pairwise comparisons, significantly reducing the evaluative workload. This innovative approach facilitates the estimation of heuristic relevance irrespective of the number of items per heuristic or the item scale and streamlines the overall evaluation process. In addition to rigorous simulation testing of the tailored algorithm, we applied our method in a practical scenario, engaging seven usability experts in evaluating a web interface. This empirical application underscored our method’s capacity to diminish the requisite comparison count and spotlight areas of improvement for critically weighted yet underperforming heuristics. The outcomes of this study underscore the efficacy of our approach in enhancing the efficiency and organization of heuristic evaluations, paving the way for more structured and effective usability testing methodologies in future research endeavors.

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“…Thorndike defined social Intelligence as the ability to understand and manage men and women, boys and girls, to act wisely in human relationships. Emotional Intelligence is a set of interrelated skills regarding the ability to understand, assess, and express emotions accurately; the ability to access and evoke feelings while facilitating thought; the ability to understand emotions and emotional knowledge; and the ability to regulate emotions to promote emotional and intellectual growth (Contreras-Pacheco et al, 2019).…”

Section: Emotional Intelligencementioning

confidence: 99%

The Influence of Emotional Intelligence and Work Motivation on Employee Performance Mediated by Employee Engagement

Sulyantie,

Gani

2023

HCO

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This research was conducted to analyze the influence of emotional Intelligence and work motivation on employee performance mediated by employee engagement. This research is designed as explanatory research. The population of this study were employees of PT—BS, with a total sample of 84 respondents. The data analysis used is the Partial Least Square Structural Equation ModelingMethod. The study results show that (1) emotional Intelligence positively and significantly affects employee engagement. (2) work motivation positively and significantly affects employee engagement. (3) employee engagement positively and significantly affects employee performance. (4) emotional intelligence positively and significantly affects employee performance. (5) work motivation positively and significantly affects employee performance. (6) Employer engagement partially mediates the effect of emotional intelligence on employee performance. (7) employee engagement partially mediates the effect of work motivation on employee performance. This research is expected to provide profound implications for future studies on emotional Intelligence, work motivation, and employee performance. This research is also expected to be helpful input for agencies as a consideration in determining policies for the agency's progress, and one day can help solve employee performance problems in both the public and private sectors.

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Efectos de la responsabilidad social empresarial sobre la identificación organizacional de los empleados: Autenticidad o falacia

Cited by 14 publications

References 55 publications

Towards a Refined Heuristic Evaluation: Incorporating Hierarchical Analysis for Weighted Usability Assessment

Towards a Refined Heuristic Evaluation: Incorporating Hierarchical Analysis for Weighted Usability Assessment

Towards a Refined Heuristic Evaluation: Incorporating Hierarchical Analysis for Weighted Usability Assessment

The Influence of Emotional Intelligence and Work Motivation on Employee Performance Mediated by Employee Engagement

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