Job performance dynamics of a multigenerational workforce in Cabanatuan city hotels

This research explored how different generations working together affect the performance of employees in hotels in Cabanatuan City, Nueva Ecija, from the point of view of hotel managers and employees themselves. Its goal was to find out what impact on job performance has the different generational attitudes and what methods the managers use in order to overcome these difficulties. The paper utilizes a descriptive research design. To obtain the data, the researcher developed a questionnaire and submitted it to hotel managers, supervisors, human resource officers, and employees. The questions were partly from the Individual Work Performance Questionnaire (WPQ) and partly from Northhouse's Leadership: Theory and Practice. Statistical procedures such as frequency distribution, percentage, and weighted mean were employed for data analysis. The results of the survey reveal that overall job performance is multifaceted, with employees often rating themselves slightly higher, especially younger workers who value multitasking and technology, while older supervisors emphasize reliability and consistency. These differing perspectives highlight the need for structured feedback systems and regular performance conversations to align expectations, enhance transparency, and reduce rating discrepancies. Integrating such tools into the Employee Engagement Program will promote fair, skill- and efficiency-based evaluations that strengthen mutual understanding and overall service quality in hospitality settings.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-12-31
DOI
https://doi.org/10.5281/zenodo.18324444
Primary Topic
Employee Performance and Management
Type
article
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article

Job performance dynamics of a multigenerational workforce in Cabanatuan city hotels

Jamaica Santos Dela Cueva
Zenodo (CERN European Organization for Nuclear Research)
Employee Performance and Management
article

Job performance dynamics of a multigenerational workforce in Cabanatuan city hotels

Jamaica Santos Dela Cueva
article en

Abstract

This research explored how different generations working together affect the performance of employees in hotels in Cabanatuan City, Nueva Ecija, from the point of view of hotel managers and employees themselves. Its goal was to find out what impact on job performance has the different generational attitudes and what methods the managers use in order to overcome these difficulties. The paper utilizes a descriptive research design. To obtain the data, the researcher developed a questionnaire and submitted it to hotel managers, supervisors, human resource officers, and employees. The questions were partly from the Individual Work Performance Questionnaire (WPQ) and partly from Northhouse's Leadership: Theory and Practice. Statistical procedures such as frequency distribution, percentage, and weighted mean were employed for data analysis. The results of the survey reveal that overall job performance is multifaceted, with employees often rating themselves slightly higher, especially younger workers who value multitasking and technology, while older supervisors emphasize reliability and consistency. These differing perspectives highlight the need for structured feedback systems and regular performance conversations to align expectations, enhance transparency, and reduce rating discrepancies. Integrating such tools into the Employee Engagement Program will promote fair, skill- and efficiency-based evaluations that strengthen mutual understanding and overall service quality in hospitality settings.

Zenodo (CERN European Organization for Nuclear Research)
Nueva Ecija University of Science and Technology (PH), Wesleyan University Philippines (PH)
Decent work and economic growth
Openalex Percentile: Top 12%
Employee Performance and Management
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Job performance dynamics of a multigenerational workforce in Cabanatuan city hotels — Jamaica Santos Dela Cueva · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS