Page 844 - MARSIUM'21 COMP OF PAPER

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41 – 56 27 18.0
57– 75 2 1.3
Education Level SPM 19 12.7
STPM 2 1.3
Diploma 17 11.3
Degree 86 57.3
Master / MBA 22 14.7
PhD / DBA 4 2.7
Monthly Income Less than RM2,000 89 59.3
RM2,000 – RM4,000 27 18.0
RM4,001 – RM8,000 24 16.0
Above RM8,000 10 6.7
Property Type Own House 110 73.3
Rental House 34 22.7
Business Premise 4 2.7
Tender 2 1.3
Common Booking Direct call to service provider 47 31.3
Channel for Home WhatsApp 29 19.3
Maintenance or Service Provider Websites 10 6.7
Repair Services Direct call to service provider 14 9.3
WhatsApp, Service Provider Websites 33 22.0
Direct call to service provider, Service Provider Websites 13 8.7
Direct call to service provider, Service Provider Websites, WhatsApp 4 2.7
Table 1: Demographic profiles of the respondents

4.1 Normality Test

Normality tests can assist a researcher to assess the normality of the sample data collected from a normally distributed population (Ghasemi and
Zahediasl, 2012). The skewness and kurtosis of variables can be tested using IBM SPSS in which the statistical results can find out the normality
of the data collected (Kwak and Park, 2019). Skewness in a normality test refers to the degree of distortion of a distribution where the distribution
is labelled as normal if the skewness shows zero and tails are balanced while a graph with a negative value will be skewed to left and positive
value will be skewed to right (Bono et al., 2019). On the other hand, Bono et al. (2019) defined kurtosis as the nature of distribution tails and
can be explained as the normality curve’s degree of peak or flatness which is observable from the tail length and weight. The acceptable value
of skewness is between -2 and +2 and kurtosis is between -7 and +7 for normal distribution (Kallner, 2018). In this study, IBM SPSS was used
as a screening tool to determine and test the normality of data collected before proceeding to the data analysis. As shown in Table 2, all five
variables in the study including usability, ease of use, entertainment, complementarity, e-trust and online booking intention are normally
distributed as the value all variable lies between -2 and +2. Therefore, the data collected are valid and acceptable to proceed for further analysis.

Variables Skewness Test Kurtosis Test
Usability - 0.861 1.201
Ease of use - 1.235 2.934
Entertainment - 0.880 0.762
Complementarity - 0.756 0.884
E-Trust - 1.100 2.636
Online Booking Intention - 0.950 0.696
Table 2: Result of normality test

4.2 Reliability Test

Reliability test is used to identify the reliability of questionnaire constructs of the study which include internal consistency and reliability.
According to Hair et al. (2019), the reliability and acceptability of the Cronbach Alpha value should be above 0.7 (α > 0.7) to be labelled as
highly reliable. The main variable measurement items were adopted from previous study (Li et al., 2017) to improve the reliability and validity
of study. A total of 27 website quality measurement items and 4 online booking intention measurement items were included in the survey. As
a preliminary check before testing the hypothesis, reliability test was performed using SPSS. According to Pallant (2011), the Cronbach Alpha
Coefficient of a scale should be above 0.7 to indicate the scale is reliable for the study. The reliability score for usability (α
= 0.861), ease of use (α = 0.871), entertainment (α = 0.895), complementarity (α = 0.837), e-trust (α = 0.903) and online booking intention

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