A dataset of social network and operational performance of tourism businesses in Vietnam: The mediating role of resource access
Description
The outbreak of Covid-19 severely impacted the operational performance of businesses in the tourism industry. Many firms have gone bankrupt and dissolved. Therefore, managers’ social networks are to access external support resources to overcome the crisis, keeping extremely crucial importance. Based on social network theory, this data’s purpose was to shed light on the impact of social networks on operational performance through the mediating role of access to resources. The study used the Partial Least Squares Structural Equation Modeling (PLS-SEM) method with a sample size of 212 managers of tourism businesses in Vietnam. The results showed that Government agency ties and Business partner ties positively and significantly related to operational performance. Additionally, the study’s dataset explored the mediating role of resource access between the social network (Government agency ties and Business partner ties) and operational performance. The results have practical significance for managers in building social networks to increase the ability to access support resources in coping with the crisis of COVID-19
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The questionnaire was designed based on previous studies. Nine managers from restaurants, hotels, and travel companies were interviewed to adjust the items to fit the research context in Vietnam. Based on the interview results, a preliminary survey questionnaire was developed and evaluated with 105 managers to test the reliability of the measurement scale using Cronbach's alpha coefficient and to examine the convergent and discriminant validity through exploratory factor analysis (EFA). Expert consensus supports the use of the components in the research model, and the research questions used to test those constructs were adapted to align with the study's objectives. The study involved 212 managers from tourism businesses in provinces and cities that have tourism development advantages and have been negatively affected by the Covid-19 pandemic (Ho Chi Minh City, Ba Ria - Vung Tau, Can Tho, Binh Thuan, Khanh Hoa, Da Nang, Hanoi). These managers were given a questionnaire to fill out in their own time. In this study, the data analysis was conducted using Partial Least Squares Structural Equation Modeling (PLS-SEM).After gathering the data, it was carefully reviewed for accuracy. All scales used in the study met the reliability and validity standards established in the literature. Software tools like SPSS 27 and SmartPLS 4.0.9.2 were utilized to thoroughly examine the data and ensure that the Average Variance Extracted (AVE) and the Composite Reliability (CR) fell within the recommended ranges in the literature. Additionally, the study employed the HTMT (Heterotrait-Monotrait Ratio) and Fornell-Larcker technique to test discriminant validity and conducted VIF (Variance Inflation Factor) analysis to examine common method bias. Finally, the PLS-SEM approach was employed to test the research hypotheses and investigate the relationships between the research constructs