This study uses the structural equation model as the analysis tool, and aims to explore the effects of tourism experience on job involvement and well-being. The subjects are full-time workers who have travelled in the last 12 months. This investigation is based on purposive sampling and e-questionnaires, uses analytical tools SPSS 18.0 and AMOS 19.0, and 360 valid questionnaires are retrieved. According to the research findings: (1) tourism experience positively influences job involvement; (2) tourism experience does not positively influence well-being; and (3) job involvement positively influences well-being. Based on the above, this study suggests that managers plan appropriate trips according to employees' demands. Experiential activities should be appealing and trigger internal affective connections through external experience, in order to reinforce job involvement and well-being in life. The research results also reveal that, of the five experiences, i.e., sensual experience, emotional experience, thinking experience, action experience, and related experience, the regression coefficient of emotional experience is the highest, which shows why story marketing has taken an important position among marketing strategies. The different types of tourism experience include recreational sightseeing, cultural sightseeing, entertaining sightseeing, and sports sightseeing where recreational sightseeing accounts for 58.1%. Under the existing system, there may have been items that did not apply to the respondents, which would result in deviations or errors in the questionnaires; in the case of any special or major changes in the external environment
The tremendous growth of social media and consumer-generated content on the Internet has inspired the development of the so-called big data analytics to understand and solve real-life problems. However, while a handful of studies have employed new data sources to tackle important research problems in hospitality, there has not been a systematic application of big data analytic techniques in these studies. This study aims to explore and demonstrate the utility of big data analytics to better understand important hospitality issues, namely the relationship between hotel guest experience and satisfaction. Specifically, this study applies a text analytical approach to a large quantity of consumer reviews extracted from Expedia.com to deconstruct hotel guest experience and examine its association with satisfaction ratings. The findings reveal several dimensions of guest experience that carried varying weights and, more importantly, have novel, meaningful semantic compositions. The association between guest experience and satisfaction appears strong, suggesting that these two domains of consumer behavior are inherently connected. This study reveals that big data analytics can generate new insights into variables that have been extensively studied in existing hospitality literature. In addition, implications for theory and practice as well as directions for future research are discussed.
Abstract-The study constructs a framework for a multi-screen marketing platform through comprehensive analysis of theory and practice, the model provides practical insights and strategies to help marketers successfully deliver against business goals, while they implement the application of artificial intelligence (AI) to cross-screen marketing. Also, the model can help companies effectively leverage the multi-screen advertising opportunity. Finally, the study adopts a case study of AI technology company to examine how they make it easy for businesses to use AI to grow and succeed in a cross screen era.
This paper explores the common work stress in a sample of Taiwanese managers and employees. It investigates the differences and frequency of work stress by individual characteristics such as job level, gender and marital status. The researcher distributed a self-administered questionnaire to a sample of N = 140 managers and N = 400 front-line employees at 20 Taiwanese five-star hotels. The results revealed that role conflict, role ambiguity and workload were the most common stressors for managers and employees. In addition, hotel managers experienced significantly more stress than front-line employees did. Female employees indicated significantly more stress than did their male counterparts. Some implications for practice are discussed such as recruiting employees who can function optimally even in stressful situations, which would help lower costs.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.