Josephine Diana S. Campos
Bulacan State University

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

Modeling the Relationship Between Employee Conflict, Work Stress, and Turnover Intention in the Food-Service Industry Josephine Diana S. Campos; Jofrey Ramos Campos
People and Behavior Analysis Vol. 2 No. 2 (2024): May - September Volume
Publisher : Research Synergy Foundation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31098/pba.v2i2.2597

Abstract

The fast-paced and demanding food service industry faces challenges like employee conflict, workplace stress, and high turnover intentions, which impact both employee well-being and business performance. This study examines the causal relationships among employee conflict, work stress, and turnover intention using Partial Least Squares Structural Equation Modeling (PLS-SEM). A sample of 237 food service restaurant workers from Pampanga, Philippines, was selected via purposive sampling. Data were collected using a survey instrument with rating scales. The study evaluated the model’s fit, internal reliability, and construct validity using confirmatory factor analysis. Path analysis revealed a moderate fit of the model to the data, indicating acceptable reliability and validity. Findings showed a direct positive effect of employee conflict on turnover intention, with work stress having an indirect influence. Recommendations include the following:  implementing conflict resolution and stress management programs, improving communication, offering flexible work hours, task management, employee assistance programs, rewards, and career advancement opportunities. Due to geographical limitations, future studies should also employ qualitative or mixed methods and longitudinal designs to examine these effects over time.
Distribution Personalization and Content Decentralization on Brand Recall Josephine Diana S. Campos; Jofrey R. Campos
International Journal of Marketing and Digital Creative Vol. 2 No. 2 (2024): International Journal of Marketing and Digital Creative (IJMADIC) Now Published
Publisher : Research Synergy Foundation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31098/ijmadic.v2i2.2205

Abstract

Structural equation modeling examines the impact of distribution personalization and content decentralization on brand recall among Gen-Z consumers to analyze the causal relationship between these factors. The research used Covariance Based–Structural Equation Modeling (CB-SEM) and Partial Least Squares–Structural Equation Modeling (PLS-SEM) based on review of related literature. The 385 samples were Gen Z (age 12 to 27 as of year 2024 randomly from Region III, Philippines, comprising the provinces of Aurora, Bataan, Bulacan, Nueva Ecija, Pampanga, and Tarlac. Questionnaires with rating scales were used as research tools. Confirmatory factor analysis was used to analyze model fit, reliability, and validity. A structural model and path analysis were used to examine the links. Causal relationships were analyzed using PLS-SEM. The findings indicated that the model had a reasonable fit with empirical data and exhibited acceptable reliability and validity. The results demonstrate that distribution personalization has a direct positive effect on Gen Z’s ability to recall a brand. In addition, content decentralization acted as a partial mediator or indirect effect on the relationship between distribution personalization and Gen Z brand recall. Based on these results, sellers of clothing brands reliant on short-form video ads may consider employing advanced data analytics technologies to acquire insights into the preferences, behavior, and demographics of the audience and personalize video content to specific audience segments like Gen Z. Furthermore, it is advisable to optimize distribution channels, incorporate user-generated content into distribution strategies, and emphasize usercentric storytelling to create favorable associations with the brand. Future research should be qualitative or mixed methods to obtain a richer qualitative interpretation, and cohort or longitudinal research should be conducted to study these effects eventually.