The role of local wisdom ``Ugahari'' and the impact of internet and mobile technology on work-life-balance during COVID-19 outbreak: Data set from malaysian workers

This article presents internet and mobile technology (IMT) usage during the pandemic and examines its impact on Malaysian workers' work-life balance. This study also included the Malaysian local value, namely Ugahari, and its role in shaping individual work and personal/family life behavior. The operationalization of variables was developed based on the work-life balance from permeability and flexibility, type of work-life balance consequences, and the theory of planned behavior utilized for local wisdom to characterize the respondents. Data were collected through online surveys and distributed to industries and government agencies in the Urban Area of Malaysia. There are 466 valid and complete questionnaires. The data set has been collected as a reference source for further research regarding the role of local value "Ugahari, especially on work-life balance.


a b s t r a c t
This article presents internet and mobile technology (IMT) usage during the pandemic and examines its impact on Malaysian workers' work-life balance. This study also included the Malaysian local value, namely Ugahari, and its role in shaping individual work and personal/family life behavior. The operationalization of variables was developed based on the work-life balance from permeability and flexibility, type of work-life balance consequences, and the theory of planned behavior utilized for local wisdom to characterize the respondents. Data were collected through online surveys and distributed to industries and government agencies in the Urban Area of Malaysia. There are 466 valid and complete questionnaires. The data set has been collected as a reference source for further research regarding the role of local value "Ugahari, especially on work-life balance.  Table   Subject Social Science Specific subject area Social Science Type of data Table  How data were acquired Data is collected through online and offline surveys Data format Raw, analyzed, descriptive and statistical data Parameters for data collection The data consist of workers in middle management positions and above, located in Kuala Lumpur, Selangor, and Putra Jaya, Malaysia. Description of data collection Data collection is done in two ways, namely online and offline. Online data collection was carried out using a monkey survey-the filling period was October 18, 2020, to April 28, 2021.

Value of the Data
• The dataset uses the internet and mobile technology and the role of local wisdom "Ugahari'' to study their impact on work-life balance. • This Data is helpful for both public and private policymakers to improve workers' wellbeing during the COVID-19 pandemic. • The data presented can further discuss the development of work-life balance theory, especially concerning culture and local wisdom. • Researchers give flexibility to anyone to modify and use in other contexts.

Data Description
The data in this study is premier data, and it is collected from respondents using the questionnaire. The population frame is workers at the middle level of management from the public and private sectors. Public sectors are divided into clusters based on the department, and private sectors are divided into groups based on the industrial types. The questionnaire is given to all selected respondents. Closed questions were used in this questionnaire, and the options used a Likert scale model. The questionnaire is built on a solid definition as a determinant of how each variable is measured. This process is a critical step of survey research to ensure that the questionnaire items are related to the main problem being studied. The model's evaluation by looking at a loading value of 0.5-0.60 is considered sufficient, and the average variance extracted (AVE) value must be greater than 0.5. Finally, composite reliability by looking at the Cronbach's Alpha value for the condition is > 0.70 [1] .
Survey data is broadly divided into two parts: First , demographics include gender, age, marital status, race, number of children, and salary ( Table 1 ). Second explorations of all analyzed variables, including the role of Ugahari and the impact of IMT on work-life balance for more detail, can be seen in ( Tables 2 -4 ). Furthermore, The dataset, available on the Mendeley Data repository ( https://data.mendeley.com/datasets/xnryh937hc/1 ).

Experimental Design, Materials and Methods
The questionnaires were distributed in two ways: first, using the traditional method (offline) by visiting the cluster of sampled companies. They were secondly using online survey through https://www.surveymonkey.com/r/5YGVBCY . In the process, most of the respondents came from Kuala Lumpur and Selangor. Respondents from Putra Jaya Malaysia are devoted to respondents who work in the public sector. The average time for filling out the questionnaire per respondent is 30 min. In general, the number of respondents who filled in was 580, but 466 respondents met the requirements to continue the analysis after the screening-the filling period from October 18, 2020, to April 28, 2021.
Conclusive empirical findings from previous research will support the development of research instruments. The development of the model in this study consists of two exogenous variables, namely the internet and mobile technology (IMT) [2] and Malaysian local wisdom "Ugahari." For variables endogenous there are eight constructs namely: Integration [3] , Autonomy [4] , Interference [5] , Segmentation [6] , Job satisfaction [7] , job stress [8] , permeability [9] and flexibility [3] . Most of the measurements in this study use a five-point Likert scale where 1 =     .192 * * .139 * * .235 * * .135 * * .159 * * .144 * * .138 * * .151 * * .202 * * .196 * * Strongly Disagree, 3 = Neither Agree nor Disagree, and 5 = Strongly Agree. The rating scales allow results to be analyzed and interpreted statistically. The data screening process is carried out in two ways: First, screening the completeness of filling out all the questions in the questionnaire. At this stage, the researcher ensures that all the data collected is complete and suitable for analysis. Second, check whether there are irregularities in filling out; for example, respondents' names are not familiar, industries not in the Google database, and others; this is important to ensure the quality of the data obtained.

Ethics Statement
All procedures performed in studies followed the ethical standard of University Malaysia Terengganu. Informed consent was obtained from all respondents involved in the study. Participants were informed that the survey was anonymous.

Data Availity
The Role Of Local Wisdom "Ugahari'' And The Impact Of Internet And Mobile Technology On Work-Life-Balance During COVID-19 Outbreak: Data Set From Malaysian Workers (original Data) (mendelay Data).