Data on how job satisfaction and perceived value of CSR demotivate undesirable job habits during a crisis

This dataset was collected one year after the outbreak of the COVID-19 pandemic from December 2020 to January 2021 in Macao Special Administrative Region, China. The aim was to investigate the behaviour changes of employees working in the service industry under the stress of pandemic, and the roles of job satisfaction and corporate social responsibility (CSR) as individual and organizational mediators respectively at alleviating undesirable job habits. Data collection was done both offline and online due to stringent pandemic preventive measures during the collection period. Respondents of this survey included employees in different sectors of the service industry, for instance, travel agencies, hotels, casinos, food and beverage, and retails. A total of 895 responses were collected, in which 23 responses were removed during data cleaning, and 872 responses were retained in the dataset. The dataset can serve as the base of reference for future studies on employee habit change, both within and under crisis. It can also serve as a reference for future studies that examined effective ways of minimizing negative job habit changes that ensued from crises.


a b s t r a c t
This dataset was collected one year after the outbreak of the COVID-19 pandemic from December 2020 to January 2021 in Macao Special Administrative Region, China. The aim was to investigate the behaviour changes of employees working in the service industry under the stress of pandemic, and the roles of job satisfaction and corporate social responsibility (CSR) as individual and organizational mediators respectively at alleviating undesirable job habits. Data collection was done both offline and online due to stringent pandemic preventive measures during the collection period. Respondents of this survey included employees in different sectors of the service industry, for instance, travel agencies, hotels, casinos, food and beverage, and retails. A total of 895 responses were collected, in which 23 responses were removed during data cleaning, and 872 responses were retained in the dataset. The dataset can serve as the base of reference for future studies on employee habit change, both within and under crisis. It can also serve as a reference for future studies that examined effective ways of minimizing negative job habit changes that ensued from crises.

Value of the Data
• The data provided are samples of employees in various sectors of the tourism and hospitality industry in Macao, where the yearly tourist arrival was once over 39 million [2] and the whole tourism industry contributed to 80% of the public income [3] before the pandemic. Therefore, the data has a significant representation of the situation of tourism and hospitality employees in a well-developed destination under the stress of a crisis. • The dataset will benefit those studying the management of employee behaviour and crisis management, in the context of tourism and hospitality or service industry. • The dataset can serve as the base of comparison in future studies of employee habit change under crises.

Data Description
The survey consists of six major parts. Demographics aside, the first part inquired the level of influence of the pandemic on work. A 5-point Likert scale was applied to measure the level of influence of the pandemic on respondents' jobs (1 -Not affected to 5 -significantly affected) while a dichotomous scale was applied to check whether respondents encountered a specific change at work (1 -No and 2 -Yes). The second part was about demographic information. The rest were adapted or consolidated from past literature. These include Depression Anxiety Stress   Table 2 Demographic variables. Scale (DASS-21) [4] where a 4-point Likert scale was applied to measure the applicability of the descriptions in the DASS-21 scale (1 -not applicable to 4 -most applicable); change of work habit [5][6][7][8] , job satisfaction [9] and perceived value of Corporate Social Responsbility [CSR, 10 ] where a 7-point Likert scale was applied to measure the agreement of statements (1 -strongly disagree to 7 -strongly agree).

Industry
There are a total of 872 samples recorded by rows. All survey items were labelled in the first row of the data spreadsheet, and all data were coded in numbers. Table 1 presents the survey items and the corresponding labels used. Table 2 presents the code used in recording responses in demographic variables. Table 3 presents a summary of the demographic of the respondents.

Experimental Design, Materials and Methods
Purposive sampling was applied in data collection in order to ensure the employees in different key sectors of the tourism and hospitality industries are included. The survey contents were prepared in English and translated to Chinese with multiple reviews by experienced translators. A pilot study was carried out to assure the clarity of wordings. Data were collected both online and offline from December 2020 to January 2021 in Macao SAR, China.
The offline survey was conducted by trained surveyors at 12 designated locations, including the central business district, major bus hubs, intersections of main roads, markets, leisure areas, and employee shuttle bus stops of integrated resorts. These spots cover different districts of the city. The data collection was done at different times of the day and different days of the week. Spot checks were also carried out to ensure the quality of data collection.
Considering the stringent preventive measures against the pandemic, data collection was also conducted online. Similar to offline face-to-face data collection, screening questions were in place to ensure the respondents meet the requirement of this survey.
The collected data were reviewed and cleaned for three rounds to identify potential input errors or data issues before running any analysis in statistical software. Stringent filtering measures were imposed to ensure the validity of the data, like surveys taking less than 120 seconds to complete or having equal or more than 5% of missing information were excluded from the analysis. 23 samples out of the total 895 collected samples, as a result, were excluded from further analysis. Before running any analysis on the model, the data were first checked for reliability, normality and multicollinearity. Scale items were factor analysed and those with low factor loadings were excluded. The measurement model was then tested by structural equation modelling (SEM) with confirmatory factor analysis (CFA). Composite reliability, construct validity, convergent validity and discriminant validity were examined. The best fit final model was then identified.

Ethics Statements
All ethical considerations have been addressed. The research design only involves survey. Therefore, prior ethics approval is not required. Informed consent of all respondents have been obtatined. Any reference to individual respondents has been deleted.

Declaration of Competing Interest
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Data Availability
Data on how job satisfaction and perceived value of CSR demotivate undesirable job habits during crisis