Global Journal of Management and Business Research, E: Marketing, Volume 22 Issue 3

Table 1: Variable Names, the Number of Indicators and Research Adopted No. Variable The Number of Indicators Research References 1 Perceived Product Benefits (PB) 3 (Nguyen et al., 2 019) 2 Environmental Concern 4 (Van Loo et al., 2 013) 3 Green Trust 2 (Tarabieh, 2 021) 4 Packaging 3 (Deng, 2 009) 5 Sales Promotion 3 (Nagadeepa et al., 2 015) 6 Peer Influence 3 (Bapna & Umyarov, 2 015) 7 Impulse Buying behavior 3 (Rook & Fisher, 1 995) (Sharma, Sivakumaran, & Marshall, 2 010) 39 Global Journal of Management and Business Research Volume XXII Issue III Version I Year 2022 ( ) E © 2022 Global Journals Determinants Impacting Impulse Buying of Green Beauty Products Impulse Buying Behavior serves as the only dependent variable in a structural model that is estimated and measured using SmartPLS 2.0 software (Henseler, Ringle, & Sinkovics, 2009) . This software completes two tasks: it first establishes the relationships between the constructs and, second, it identifies the specific ways that each measuring construct influences impulse buying. It also compute s the non-parametric bootstrap pr ocedure's statistical validity of the factor loadings and path coefficients (Davison, Hinkley, & Young, 2003). VI. D ata A nalysis a) Descriptive Data Analysis Table 2: Demographic Profile Description Frequency Percentage Description Frequency Percentage Gender Occupation 1. Male 2. Female 105 109 49.1 50.9 1. student 2. Businessmen 3. service holders 4. housewife 5. others 93 43.4 38 17.8 Total 214 100 73 34.1 Age 6 2.8 1. below 20 2. 20-30 3. 31-40 4. 41-50 5. above 50 24 114 58 17 1 11.2 4 1.9 53.3 Total 214 100.0 27.1 Income 7.9 1. below 15000 2. 15001-30000 3. 15100-30000 4. 30100-45000 5. 45100-60000 60 28.0 .5 62 29.0 Total 214 100.0 60 28.0 Education 27 12.6 1. below SSC 12 5.6 5 2.3