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This study aims to use the voice of the customer (VoC) strategy to collect user-generated content (UGC) compare customer expectations with reality, make the necessary improvements for the business and create personalized strategies for each customer to maximize revenue, focus on hospitality industry in Vietnam market.

This study proposes a synthesis of techniques for a deep understanding of the VoC based on online reviews in the hospitality industry. First, 409,054 comments were collected from websites in the hospitality sector. Second, the data will be organized, stored, cleaned, analyzed and evaluated. Next, research using business intelligence (BI) solutions integrating three models, including net promoter score (NPS), graph model and latent Dirichlet allocation (LDA), based on natural language processing (NLP) technique, experiment on Vietnamese and English data to explore the multidimensional voice of customer’s row. Finally, a dashboard system will be implemented to visualize analysis results and recommendations on marketing strategies to improve product and service quality.

Experimental results allow analysts and managers to “listen to the customer’s voice” accurately and effectively, identify relationships between entities, topics of discussion in favor of positive and negative trends.

The novelty in this study is the integration of three models, including NPS, graph model and LDA. These models are combined based on the BI solution and NLP technique. The study also conducted experiments on both Vietnamese and English languages, which ensures more effective practical application.

Drawing from a resource-based perspective in the work–family interface literature, the current study examines how emotional exhaustion, as a resource depletion mechanism, mediates the relationship between family–work conflict and job satisfaction. The authors also considered the content and nature of coworker support to investigate whether there were differential moderating effects of the two distinct types of coworker support: emotional and instrumental support.

The authors surveyed 321 kindergarten employees across multiple sites located in South Korea. Using this sample, the authors performed random coefficient modeling to test the proposed research model.

The results showed a significant negative indirect relationship between family–work conflict and job satisfaction through emotional exhaustion. Furthermore, the findings suggested differential effects of the two coworker support types, such that the positive relationship between family–work conflict and emotional exhaustion was stronger when coworker emotional support was low than when it was high; the positive relationship was stronger when coworker instrumental support was high than when it was low. Moderated mediation analyses revealed that the two types of coworker support moderated the indirect relationship.

These results highlight the mixed blessing of distinct types of coworker support for researchers and practitioners. A lack of emotional support and greater instrumental support from coworkers each, respectively, exacerbate the negative impact of family–work conflict on employees' well-being and, subsequently, job satisfaction.