Does It Matter Who Exhibits More Green Purchase Behavior of Cosmetic Products in Asian Culture? A Multi-Group Analysis Approach
Abstract
:1. Introduction
2. Cosmetic Industry as the Research Context
3. Theoretical Framework and Hypotheses Development
3.1. Direct Relationships
3.2. Gender as a Moderator
3.3. Conceptual Framework
4. Methodology
4.1. Measurement
4.2. Research Design
4.3. Sampling and Sample Size
4.4. Respondents’ Profile
5. Data Analysis and Results
5.1. Common Method Variance Assessment
5.2. Measurement Model Assessment
5.3. Structural Model
5.4. Measurement Invariance
5.5. Multi-Group Analysis
6. Discussion
7. Theoretical Contribution and Managerial Implications
8. Limitations and Future Research Directions
Author Contributions
Funding
Conflicts of Interest
Appendix A
Altruistic Value | Numbers | Content |
---|---|---|
AV1 | I always consider the health aspects of my cosmetic purchases. | |
AV2 | While purchasing cosmetic products, I focus on environmentally friendly cosmetics. | |
AV3 | It concerns me that people consume high chemical cosmetics with negative environmental impact. | |
Hedonic Value | HV1 | Buying organic cosmetics give me pleasure. |
HV2 | Buying green cosmetics make me feel like doing morally the right thing. | |
HV3 | The use of green cosmetics can affect my well-being positively. | |
HV4 | I enjoy using green cosmetics. | |
HV5 | I feel relaxed using green cosmetics. | |
Pro-environmental Belief | PEB1 | I am willing to participate in preserving the environment. |
BEB2 | I believe that having sense of responsibility towards environmental problems is important. | |
BEV3 | I believe that the moral obligation to help the environment is important. | |
Personal Norm | PN1 | I feel obliged to save environment where possible. |
PN2 | I should do what I can to conserve natural resources. | |
PN3 | I feel a strong personal obligation to use green cosmetics. | |
Green Purchase Behavior | GPB1 | I usually prefer to purchase cosmetic products with reusable packaging (e.g., reusable glass bottle for cream and cleanser products). |
GPB2 | Whenever I need to buy cosmetic products, I always purchase cosmetic products with no chemical ingredients. | |
GPB3 | I try to purchase cosmetic products that are free from chemical even though they are more expensive. | |
GPB4 | I always purchase biodegradable cosmetic products (which can be easily disposed after use). | |
GPB5 | I always refrain myself from purchasing cosmetic products with chemical ingredients. |
References
- Joshi, Y.; Rahman, Z. Predictors of young consumer’s green purchase behaviour. Manag. Environ. Qual. Int. J. 2016, 27, 452–472. [Google Scholar] [CrossRef]
- Chua, K.; Quoquab, F.; Mohammad, J. Factors affecting environmental citizenship behaviour. Asia Pacific J. Mark. Logist. 2020, 32, 86–104. [Google Scholar] [CrossRef]
- Leonidou, C.N.; Skarmeas, D. Gray shades of green: Causes and consequences of green skepticism. J. Bus. Ethics 2015, 144, 401–415. [Google Scholar] [CrossRef]
- Amberg, N.; Fogarassy, C. Green consumer behavior in the cosmetics market. Resources 2019, 8, 137–147. [Google Scholar] [CrossRef] [Green Version]
- Quoquab, F.; Mohammad, J.; Shahrin, R. Pro-environmental behavior in nutricosmetics product purchase context: Scale development and validation. Int. J. Pharm. Healthc. Mark. 2020, 14, 217–250. [Google Scholar] [CrossRef]
- Hassali, A.M.; Al-Tamimi, S.K.; Dawood, O.T.; Verma, A.; Saleem, F. Malaysian cosmetic market: Current and future prospects. Pharm. Regul. Aff. 2015, 4, 155–157. [Google Scholar] [CrossRef] [Green Version]
- Oishi, S. Effects of propyl paraben on the male reproductive system. Food Chem. Toxicol. 2002, 40, 1807–1813. [Google Scholar] [CrossRef]
- Quoquab, F.; Mohammad, J.; Sukari, N. A multiple-item scale for measuring sustainable consumption behaviour construct. Asia Pacific J. Mark. Logist. 2019, 31, 791–816. [Google Scholar] [CrossRef]
- Tanner, C.; Kast, S.W. Promoting sustainable consumption: Determinants of green purchases by Swiss consumers. Psychol. Mark. 2003, 20, 883–902. [Google Scholar] [CrossRef]
- Vermeir, I.; Verbeke, W. Sustainable food consumption among young adults in Belgium: Theory of planned behaviour and the role of confidence and values. Ecol. Econ. 2008, 64, 542–553. [Google Scholar] [CrossRef]
- Sharma, N.; Saha, R.; Rameshwar, R. I don’t buy LED bulbs but I switch off the lights: Green consumption versus sustainable consumption. J. Indian Bus. Res. 2019, 11, 138–161. [Google Scholar] [CrossRef]
- Akehurst, G.; Afonso, C.; Goncalves, H.M. Re-examining green purchase behaviour and the green consumer profile: New evidences. Manag. Decis. 2012, 50, 972–988. [Google Scholar] [CrossRef]
- Luchs, M.G.; Phipps, M.; Hill, T. Exploring consumer responsibility for sustainable consumption. J. Mark. Manag. 2015, 31, 1449–1471. [Google Scholar] [CrossRef]
- Krishnan, S.; Amira, N.S.; Atilla, U.N.; Syafawani, S.; Hafiz, M. The usage of cosmetic in Malaysia: Understanding the major factors that affect the users. Management 2017, 7, 48–51. [Google Scholar]
- Stern, P.C.; Dietz, T.; Abel, T.; Guagnano, G.A.; Kalof, L. A value-belief-norm theory of support for social movements: The case of environmentalism. Hum. Ecol. Rev. 1999, 6, 81–97. [Google Scholar]
- Werff, V.D.E.; Steg, L. The psychology of participation and interest in smart energy systems: Comparing the value-belief-norm theory and the value-identity-personal norm model. Res. Soc. Sci. 2016, 22, 107–114. [Google Scholar]
- Uddin, S.M.F.; Khan, M.N. Exploring green purchasing behaviour of young urban consumers: Empirical evidences from India. South Asian J. Glob. Bus. Res. 2016, 5, 85–103. [Google Scholar] [CrossRef]
- Hirschman, E.C.; Holbrook, M.B. Hedonic consumption: Emerging concepts, method and propositions. J. Mark. 1982, 46, 92–101. [Google Scholar] [CrossRef] [Green Version]
- Babin, B.J.; William, R.D.; Griffin, M. Work and/or fun: Measuring hedonic and utilitarian shopping value. J. Consum. Res. 1994, 20, 644–656. [Google Scholar] [CrossRef]
- Kim, E.; Chiang, L.; Tang, L. Investigating wellness tourists’ motivation, engagement, and loyalty: In search of the missing link. J. Travel Tour. Mark. 2017, 34, 867–879. [Google Scholar] [CrossRef]
- Perryman, A.A.; Fernando, G.D.; Tripathy, A. Do gender differences persist? An examination of gender diversity on firm performance, risk, and executive compensation. J. Bus. Res. 2016, 69, 579–586. [Google Scholar]
- Baker, J.P.; Ozaki, R. Pro-environmental products: Marketing influence on consumer purchase decision. J. Consum. Mark. 2008, 25, 281–293. [Google Scholar] [CrossRef]
- Roberts, J.A. Green consumers in the 1990s: Profile and implications for advertising. J. Bus. Res. 1996, 36, 217–231. [Google Scholar] [CrossRef]
- Oztek, M.Y.; Cengel, O. The formation of green buying strategy on the scope of consumer decision making behavior. Online Acad. J. Inf. Technol. 2013, 4, 7–17. [Google Scholar]
- Eisler, A.D.; Eisler, H.; Yoshida, M. Perception of human ecology: Crosscultural and gender comparisons. J. Environ. Psychol. 2003, 23, 89–101. [Google Scholar] [CrossRef]
- Mostafa, M.M. A hierarchical analysis of the green consciousness of the Egyptian consumer. Psychol. Mark. 2007, 24, 445–473. [Google Scholar] [CrossRef]
- Reynisdottir, M.; Song, H.; Agrusa, J. Willingness to pay entrance fees to natural attractions: An Icelandic case study. Tour. Manag. 2008, 29, 1076–1083. [Google Scholar] [CrossRef] [Green Version]
- Wolters, E.A. Attitude–behavior consistency in household water consumption. J. Soc. Sci. 2014, 51, 455–463. [Google Scholar] [CrossRef]
- Peattie, K. Green consumption: Behavior and norms. Annu. Rev. Env. Resour. 2010, 35, 195–228. [Google Scholar] [CrossRef]
- Health Sceinces Authority. Cosmetic Products 2017. Available online: https://www.hsa.gov.sg/content/hsa/en/Health_Products_Regulation/Consumer_Information/Consumer_Guides/Cosmetics.html (accessed on 7 December 2018).
- Asia Personal Care & Cosmetics Market Guide 2016. Available online: https://www.trade.gov/industry/materials/AsiaCosmeticsMarketGuide.pdf (accessed on 7 December 2018).
- Khraim, H.S. The influence of brand loyalty on cosmetic buying behavior of UAE female consumers. Int. J. Mark. Stud. 2011, 3, 123–133. [Google Scholar] [CrossRef] [Green Version]
- Stern, P.C. Toward a coherent theory of environmentally significant behavior. J. Soc. Issues. 2000, 56, 407–424. [Google Scholar] [CrossRef]
- Harland, P.; Staats, H.; Wilke, H.A.M. Situational and personality factors as direct or personal norm mediated predictors of pro-environmental behavior: Questions derived from norm-activation theory. Basic Appl. Soc. Psychol. 2007, 29, 323–334. [Google Scholar] [CrossRef]
- Schwartz, S.H. Universals in the content and structure of values: Theoretical advances and empirical tests in 20 countries. J. Exp. Soc. Psychol. 1992, 25, 1–65. [Google Scholar]
- Chen, M.F. An examination of the value-belief-norm theory model in predicting pro-environmental behaviour in Taiwan. Asian J. Soc. Psychol. 2015, 18, 145–151. [Google Scholar] [CrossRef]
- Kiatkawsin, K.; Han, H. Young travelers’ intention to behave pro-environmentally: Merging the value-belief-norm theory and the expectancy theory. Tour. Manag. 2017, 59, 76–88. [Google Scholar] [CrossRef]
- Van Riper, C.J.; Kyle, G.T. Understanding the internal processes of behavioral engagement in a national park: A latent variable path analysis of the value-belief-norm theory. J. Environ. Psychol. 2014, 38, 288–297. [Google Scholar] [CrossRef]
- Chen, W.K.; Huang, H.C.; Chou, S.C.T. Handbook of Research on Mobile Marketing Management; IGI Global: Hershey, PA, USA, 2010; pp. 64–78. [Google Scholar]
- Swami, V.; Chamorro-Premuzic, T.; Snelgar, R.; Furnham, A. Egoistic, altruistic, and biospheric environmental concerns: A path analytic investigation of their determinants. Scand. J. Psychol. 2010, 51, 139–145. [Google Scholar] [CrossRef]
- McDonald, S.; Oates, C.J. Sustainability: Consumer perceptions and marketing strategies. Bus. Strategy Environ. 2006, 15, 157–170. [Google Scholar] [CrossRef]
- Hartmann, P.; Apaolaza, V.; D’Souza, C. The role of psychological empowerment in climate-protective consumer behaviour: An extension of the value-belief-norm framework. Eur. J. Mark. 2018, 52, 392–417. [Google Scholar] [CrossRef]
- Jansson, J.; Marell, A.; Nordlund, A. Green consumer behavior: Determinants of curtailment and eco-innovation adoption. J. Consum. Mark. 2010, 27, 358–370. [Google Scholar] [CrossRef] [Green Version]
- Wynveen, C.J.; Wynveen, B.J.; Sutton, S.G. Applying the value-belief-norm theory to marine contexts: Implications for encouraging pro-environmental behavior. Coast. Manag. 2015, 43, 84–103. [Google Scholar] [CrossRef]
- Lind, H.B.; Nordfjaern, T.; Jorgensen, S.H.; Rundmo, T. The value-belief-norm theory, personal norms and sustainable travel mode choice in urban areas. J. Environ. Psychol. 2015, 44, 119–125. [Google Scholar] [CrossRef]
- Aasen, M.; Vatn, A. Public attitudes toward climate policies: The effect of institutional contexts and political values. Ecol. Econ. 2018, 146, 106–114. [Google Scholar] [CrossRef]
- Ture, R.S.; Ganesh, M.P. Pro-environmental behaviours at workplace: An empirical study in Indian manufacturing organizations. Benchmarking 2018, 25, 3743–3744. [Google Scholar] [CrossRef]
- Chua, K.B.; Quoquab, F.; Mohammad, J.; Basiruddin, R. The mediating role of new ecological paradigm between value orientations and pro-environmental personal norm in the agricultural context. Asia Pacific J. Mark. Logist. 2016, 28, 323–349. [Google Scholar] [CrossRef]
- Daziano, R.A.P.; Achtnicht, M. Accounting for uncertainty in willingness to pay for environmental benefits. Energy Econ. 2014, 44, 166–177. [Google Scholar] [CrossRef] [Green Version]
- Kollmuss, A.; Agyeman, J. Mind the gap: Why do people act environmentally and what are the barriers to pro-environmental behavior? Environ. Educ. Res. 2002, 8, 239–260. [Google Scholar] [CrossRef] [Green Version]
- Wong, C.H.; Tan, G.W.H.; Loke, S.P.; Ooi, K.B. Mobile TV: A new form of entertainment? Ind. Manag. Data Syst. 2014, 114, 1050–1067. [Google Scholar] [CrossRef]
- Tifferet, S.; Herstein, R. Gender differences in brand commitment, impulse buying, and hedonic consumption. J. Prod. Brand. Manag. 2012, 3, 176–182. [Google Scholar] [CrossRef]
- Atulkar, S.; Kesari, B. Satisfaction, loyalty and repatronage intentions: Role of hedonic shopping values. J. Retail. Consum. Serv. 2017, 39, 23–34. [Google Scholar] [CrossRef]
- Zhang, Y.; Dang, Y.; Brown, S.; Chen, H. Investigating the impacts of avatar gender, avatar age, and region theme on avatar physical activity in the virtual world. Comput. Hum. Behav. 2017, 68, 378–387. [Google Scholar] [CrossRef]
- Gracia, A.; De Magistris, T.; Nayga, R.M., Jr. Importance of social influence in consumers’ willingness to pay for local food: Are there gender differences? Agribusiness 2012, 28, 361–371. [Google Scholar] [CrossRef] [Green Version]
- Lee, E.; Park, N.-K.; Han, J.H. Gender difference in environmental attitude and behaviors in adoption of energy-efficient lighting at home. J. Sustain. Dev. 2013, 6, 36–56. [Google Scholar] [CrossRef] [Green Version]
- Hunter, L.M.; Hatch, A.; Johnson, A. Cross-national gender variation in environmental behaviors. Soc. Sci. Q. 2004, 85, 677–694. [Google Scholar] [CrossRef]
- Khare, A. Antecedents to green buying behaviour: A study on consumers in an emerging economy. Market. Intell. Plan. 2015, 33, 309–329. [Google Scholar] [CrossRef]
- Ghazali, E.; Soon, P.C.; Mutum, D.S.; Nguyen, B. Health and cosmetics: Investigating consumers’ values for buying organic personal care products. J. Retail. Consum. Serv. 2017, 39, 154–163. [Google Scholar] [CrossRef]
- Kim, H.; Lee, S.H.; Yang, K. The heuristic-systemic model of sustainability stewardship: Facilitating sustainability values, beliefs and practices with corporate social responsibility drives and eco-labels/indices. Int. J. Consum. Stud. 2015, 39, 249–260. [Google Scholar] [CrossRef]
- Izagirre-Olaizola, J.; Fernandez-Sainz, A.; Vicente-Molina, M.A. Internal determinants of recycling behaviour by university students: A cross-country comparative analysis. Int. J. Consum. Stud. 2015, 39, 25–34. [Google Scholar] [CrossRef]
- Hair, J.F., Jr.; Hult, G.T.M.; Ringle, C.M.; Sarstedt, M. A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM), 2nd ed.; Sage: Los Angeles, CA, USA, 2017. [Google Scholar]
- Hair, J.F., Jr.; Anderson, R.E.; Tatham, R.L.; Black, W.C. Multivariate Data Analysis with Readings, 5th ed.; Prentice Hall: Englewood Cliffs, NJ, USA, 1998. [Google Scholar]
- Calder, B.J.; Phillips, L.W.; Tybout, A.M. Designing research for application. Consum. Res. 1981, 8, 197–207. [Google Scholar] [CrossRef]
- Chin, W.W. The partial least squares approach to structural equation modelling. In Modern Methods for Business Research; Marcoulides, G.A., Ed.; Lawrence Erlbaum Associates: London, UK, 1998. [Google Scholar]
- Faul, F.; Erdfelder, E.; Lang, A.G.; Buchner, A. G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behav. Res. Methods 2007, 39, 175–191. [Google Scholar] [CrossRef]
- Chin, T.K.; Harizan, S.H. Factors influencing consumers’ purchase intention of cosmetic products in Malaysia. Int. J. Bus. Innov. 2017, 3, 1–15. [Google Scholar]
- Ringle, C.; Wende, S.; Becker, J. SmartPLS 3 (Version 3.2.3); SmartPLS GmbH: Boenningstedt, Germany, 2015. [Google Scholar]
- Reinartz, W.; Haenlein, M.; Henseler, J. An empirical comparison of the efficacy of covariance-based and variance-based SEM. Int. J. Mark. Res. 2009, 26, 332–344. [Google Scholar] [CrossRef] [Green Version]
- Henseler, J.; Ringle, C.M.; Sinkovics, R.R. The use of partial least squares path modeling in international marketing. Adv. Int. Market. 2009, 20, 277–320. [Google Scholar]
- Hair, J.F.; Risher, J.J.; Sarstedt, M.; Ringle, C.M. When to use and how to report the results of PLS-SEM. Eur. Bus. Rev. 2019, 31, 2–24. [Google Scholar] [CrossRef]
- Henseler, J.; Hubona, G.; Ray, P.A. Using PLS path modeling in new technology research: Updated guidelines. Ind. Manage. Data Syst. 2016, 116, 2–20. [Google Scholar] [CrossRef]
- Chin, W.W.; Dibbern, J. A permutation based procedure for multi-group pls analysis: Results of tests of differences on simulated data and a cross cultural analysis of the sourcing of information system services between Germany and the USA. In Handbook of Partial Least Squares: Concepts, Methods and Applications; Springer Handbooks of Computational Statistics Series; Esposito Vinzi, V., Chin, W.W., Henseler, J., Wang, H., Eds.; Springer: Berlin/Heidelberg, Germany; Dordrecht, The Netherlands; London, UK; New York, NY, USA, 2010; Volume II, pp. 171–193. [Google Scholar]
- Podsakoff, P.M.; MacKenzie, S.B.; Lee, J.Y.; Podsakoff, N.P. Common method biases inbehavioral research: A critical review of the literature and recommended remedies. J. Appl. Psychol. 2003, 88, 879–903. [Google Scholar] [CrossRef]
- Kock, N. Common method bias in PLS-SEM: A full collinearity assessment approach. Int. J. e-Collab. 2015, 11, 1–10. [Google Scholar] [CrossRef] [Green Version]
- Saleki, R.; Quoquab, F.; Mohammad, J. What drives Malaysian consumers’ organic food purchase intention? The role of moral norm, self-identity, environmental concern and price consciousness. J. Agribusiness Dev. Emerg. Econ. 2019, 9, 584–603. [Google Scholar] [CrossRef]
- Henseler, J.; Ringle, C.M.; Sarstedt, M. A new criterion for assessing discriminant validity in Variance-based Structural Equation Modeling. J. Acad. Mark. Sci. 2015, 43, 115–135. [Google Scholar] [CrossRef] [Green Version]
- Fornell, C.; Larcker, D.F. Evaluating structural equation models with unobservable variables and measurement error. J. Mark. Res. 1981, 18, 39–50. [Google Scholar] [CrossRef]
- Voorhees, C.M.; Brady, M.K.; Calantone, R.; Ramirez, E. Discriminant validity testing in marketing: An analysis, causes for concern, and proposed remedies. J. Acad. Mark. Sci. 2016, 44, 119–134. [Google Scholar] [CrossRef]
- Hu, L.T.; Bentler, P.M. Fit indices in covariance structure modeling: Sensitivity to underparameterized model misspecification. Psychol. Methods 1998, 3, 424–453. [Google Scholar] [CrossRef]
- Falk, R.F.; Miller, N.B. A Primer for Soft Modeling; University of Akron Press: Akron, OH, USA, 1992. [Google Scholar]
- Geisser, S. A predictive approach to the random effect model. Biometrika 1974, 61, 101–107. [Google Scholar] [CrossRef]
- Stone, M. Cross-validatory choice and assessment of statistical predictions. J. R. Stat. Soc. B. 1974, 36, 111–147. [Google Scholar] [CrossRef]
- Fornell, C.; Cha, J. Partial least squares. In Advanced Methods of Marketing Research; Bagozzi, R.P., Ed.; Blackwell: Oxford, UK, 1994; pp. 52–78. [Google Scholar]
- Steg, L.; Perlaviciute, G.; Werff, E.V.D.; Lurvink, J. The significance of hedonic values for environmentally relevant attitudes, preferences, and actions. Environ. Behav. 2014, 46, 163–192. [Google Scholar] [CrossRef]
- Mitchell, V.-W.; Walsh, G. Gender differences in German consumer decision-making styles. J. Consum. Behav. 2004, 3, 331–346. [Google Scholar] [CrossRef]
- Henslin, J.M. On becoming male: Reflections of a sociologist on childhood and early socialization. In Down to Earth Sociology: Introductory Readings, 10th ed.; Henslin, J.M., Ed.; The Free Press: New York, NY, USA, 1999. [Google Scholar]
- Laroche, M.; Saad, G.; Cleveland, M.; Browne, E. Gender; shopping; marketing information; consumer behavior. J. Consum. Behav. 2000, 17, 500–522. [Google Scholar]
- Palan, K.M. Gender identity in consumer behavior research: A literature review and research agenda. J. Acad. Mark. Sci. 2001, 10, 1–31. [Google Scholar]
- Hofstede, G. Culture’s Consequences: International Differences in Work-Related Values; Sage Publications: London, UK, 1980. [Google Scholar]
- Jain, S.K.; Kaur, G. Role of socio-demographics in segmenting and profiling green consumers: An exploratory study of consumers in India. J. Int. Consum. Mark. 2006, 18, 107–146. [Google Scholar] [CrossRef]
- Roberts, J. Sex differences in socially responsible consumers’ behaviour. Psychol. Rep. 1993, 73, 139–148. [Google Scholar] [CrossRef]
- Noble, S.M.; Griffith, D.A.; Adjei, M.T. Drivers of local merchant loyalty: Understanding the influence of gender and shopping motives. J. Retail. 2006, 82, 177–188. [Google Scholar] [CrossRef]
- Mohammad, J.; Quoquab, F.; Makhbul, Z.M.; Ramayah, T. Bridging the gap between justice and citizenship behavior in Asian culture. Cross Cult. Strateg. Manag. 2016, 23, 633–656. [Google Scholar] [CrossRef]
- Keller, K.L. Strategic Brand Management: Building, Measuring and Managing Brand Equity; Prentice Hall: Englewood Cliffs, NJ, USA, 2003. [Google Scholar]
Valuables | Full Sample (n = 240) | Male (n = 79) | Female (n = 161) |
---|---|---|---|
Frequency | Frequency | Frequency | |
Age | |||
35 and less | 171 | 49 | 122 |
More than 36 | 69 | 30 | 39 |
Income | |||
RM3500 and less | 131 | 38 | 93 |
RM3501 and above | 109 | 41 | 68 |
Race | |||
Malay | 150 | 55 | 95 |
Chinese | 60 | 10 | 50 |
Indian | 30 | 12 | 18 |
Marital Status | |||
Single | 79 | 23 | 56 |
Married | 161 | 56 | 105 |
Full Dataset (n = 240) | Male (n = 79) | Female (n = 161) | ||||||||
---|---|---|---|---|---|---|---|---|---|---|
Construct | Items | Loadings | CR | AVE | Loadings | CR | AVE | Loadings | CR | AVE |
AV | AV1 | 0.854 | 0.824 | 0.61 | 0.904 | 0.894 | 0.739 | 0.818 | 0.782 | 0.547 |
AV2 | 0.751 | 0.862 | 0.664 | |||||||
AV3 | 0.733 | 0.81 | 0.729 | |||||||
GPB | GPB2 | 0.894 | 0.897 | 0.744 | 0.924 | 0.929 | 0.813 | 0.87 | 0.874 | 0.699 |
GPB3 | 0.864 | 0.88 | 0.846 | |||||||
GPB5 | 0.828 | 0.901 | 0.791 | |||||||
HV | HV1 | 0.841 | 0.935 | 0.743 | 0.869 | 0.957 | 0.818 | 0.828 | 0.923 | 0.707 |
HV2 | 0.844 | 0.865 | 0.836 | |||||||
HV3 | 0.893 | 0.932 | 0.875 | |||||||
HV4 | 0.862 | 0.935 | 0.82 | |||||||
HV5 | 0.869 | 0.918 | 0.843 | |||||||
PEB | PEB1 | 0.823 | 0.928 | 0.811 | 0.867 | 0.939 | 0.838 | 0.795 | 0.92 | 0.795 |
PEB2 | 0.934 | 0.931 | 0.935 | |||||||
PEB3 | 0.94 | 0.946 | 0.937 | |||||||
PN | PN1 | 0.886 | 0.882 | 0.716 | 0.906 | 0.92 | 0.793 | 0.881 | 0.865 | 0.684 |
PN2 | 0.903 | 0.944 | 0.884 | |||||||
PN3 | 0.74 | 0.816 | 0.704 |
Full Dataset (n = 240) | Male (n = 79) | Female (n = 161) | |||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Construct | AV | GPB | HV | PEB | PN | AV | GPB | HV | PEB | PN | AV | GPB | HV | PEB | PN |
AV | 0.781 | 0.86 | 0.74 | ||||||||||||
GPB | 0.615 | 0.862 | 0.676 | 0.902 | 0.549 | 0.836 | |||||||||
HV | 0.676 | 0.532 | 0.862 | 0.756 | 0.58 | 0.904 | 0.621 | 0.5 | 0.841 | ||||||
PEB | 0.552 | 0.428 | 0.528 | 0.9 | 0.767 | 0.601 | 0.66 | 0.915 | 0.427 | 0.294 | 0.457 | 0.892 | |||
PN | 0.619 | 0.495 | 0.657 | 0.798 | 0.846 | 0.766 | 0.666 | 0.715 | 0.892 | 0.89 | 0.537 | 0.381 | 0.624 | 0.756 | 0.827 |
Full Dataset (n = 240) | Male (n = 79) | Female (n = 161) | |||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Construct | AV | GPB | HV | PEB | PN | AV | GPB | HV | PEB | PN | AV | GPB | HV | PEB | PN |
AV | |||||||||||||||
GPB | 0.826 | 0.79 | 0.837 | ||||||||||||
HV | 0.868 | 0.613 | 0.845 | 0.625 | 0.874 | 0.601 | |||||||||
PEB | 0.692 | 0.493 | 0.582 | 0.864 | 0.667 | 0.698 | 0.556 | 0.348 | 0.51 | ||||||
PN | 0.845 | 0.618 | 0.794 | 0.871 | 0.851 | 0.759 | 0.788 | 0.881 | 0.805 | 0.516 | 0.796 | 0.88 |
Full Sample (n = 240) | Male (n = 79) | Female (n = 161) | ||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Path | Std Beta | SE | t-Values | R2 | Q2 | Std Beta | SE | t-Values | R2 | Q2 | Std Beta | SE | t-Values | R2 | Q2 | |
H1 | AV→PEB | 0.359 | 0.086 | 4.157 ** | 0.349 | 0.263 | 0.627 | 0.135 | 4.658 ** | 0.604 | 0.47 | 0.234 | 0.101 | 2.303 * | 0.242 | 0.158 |
H2 | HV→PEB | 0.286 | 0.086 | 3.305 ** | 0.186 | 0.119 | 1.563 | 0.312 | 0.104 | 2.987 ** | ||||||
H3 | PEB→PN | 0.798 | 0.025 | 32.021 ** | 0.638 | 0.423 | 0.892 | 0.024 | 36.712 ** | 0.795 | 0.593 | 0.756 | 0.033 | 22.711 ** | 0.572 | 0.369 |
H4 | PN→GPB | 0.495 | 0.048 | 10.221 ** | 0.245 | 0.171 | 0.666 | 0.058 | 11.418 ** | 0.444 | 0.336 | 0.381 | 0.076 | 5.042 ** | 0.145 | 0.093 |
Compositional Invariance Correlation = 1 | Equal Mean Assessment | Equal Variance Assessment | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Construct | Configure Invariance | C = 1 | 95% CI | Partial Measurement Invariance Established | Difference of Mean Value | 95% Confidence Interval | Equal Mean | Difference of the Variances Value | 95%CI | Equal Variance | Full Measurement Invariance Established |
AV | Yes | 0.994 | 0.983–1.000 | Yes | −0.268 | −0.234–0.228 | No | 0.234 | −0.277–0.249 | Yes | No |
GPB | Yes | 1 | 0.993–1.000 | Yes | −0.33 | −0.229–0.236 | No | 0.611 | −0.304–0.272 | No | No |
HV | Yes | 0.999 | 0.997–1.000 | Yes | −0.25 | −0.221–0.229 | No | 0.065 | −0.298–0.26 | Yes | No |
PEB | Yes | 0.999 | 0.999–1.000 | Yes | −0.25 | −0.224–0.216 | No | 0.076 | −0.27–0.257 | Yes | No |
PN | Yes | 0.999 | 0.997–1.000 | Yes | −0.107 | −0.231–0.227 | Yes | 0.034 | −0.238–0.223 | Yes | Yes |
Hypotheses | Relationship | Std Beta Values | SE Values | t-Values | Path Coefficient Differences | p-Values | Supported | ||||
---|---|---|---|---|---|---|---|---|---|---|---|
Male | Female | Male | Female | Male | Female | Henseler MGA | Permutation | ||||
H5 | AV→PEB | 0.627 | 0.234 | 0.135 | 0.234 | 4.658 ** | 2.303 * | 0.393 | 0.018 * | 0.045 * | Yes/yes |
H6 | HV→PEB | 0.186 | 0.312 | 0.119 | 0.312 | 1.563 | 2.987 ** | −0.125 | 0.442 | 0.499 | No/no |
H7 | PEB→PN | 0.892 | 0.756 | 0.024 | 0.756 | 36.712 ** | 22.711 ** | 0.136 | 0.001 * | 0.011 * | Yes/yes |
H8 | PN→GPB | 0.666 | 0.381 | 0.058 | 0.381 | 11.418 ** | 5.042 ** | 0.285 | 0.003 ** | 0.008 ** | Yes/yes |
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Quoquab, F.; Jaini, A.; Mohammad, J. Does It Matter Who Exhibits More Green Purchase Behavior of Cosmetic Products in Asian Culture? A Multi-Group Analysis Approach. Int. J. Environ. Res. Public Health 2020, 17, 5258. https://doi.org/10.3390/ijerph17145258
Quoquab F, Jaini A, Mohammad J. Does It Matter Who Exhibits More Green Purchase Behavior of Cosmetic Products in Asian Culture? A Multi-Group Analysis Approach. International Journal of Environmental Research and Public Health. 2020; 17(14):5258. https://doi.org/10.3390/ijerph17145258
Chicago/Turabian StyleQuoquab, Farzana, Azila Jaini, and Jihad Mohammad. 2020. "Does It Matter Who Exhibits More Green Purchase Behavior of Cosmetic Products in Asian Culture? A Multi-Group Analysis Approach" International Journal of Environmental Research and Public Health 17, no. 14: 5258. https://doi.org/10.3390/ijerph17145258
APA StyleQuoquab, F., Jaini, A., & Mohammad, J. (2020). Does It Matter Who Exhibits More Green Purchase Behavior of Cosmetic Products in Asian Culture? A Multi-Group Analysis Approach. International Journal of Environmental Research and Public Health, 17(14), 5258. https://doi.org/10.3390/ijerph17145258