The Green-Awakening Customer Attitudes towards Buying Green Products on an Online Platform in Thailand: The Multigroup Moderation Effects of Age, Gender, and Income

In order to respond to sustainable consumption and production, customers today are more aware of how their actions affect the environment. As a result, customers are looking for products that use sustainable practices and are environmentally conscious; an online platform is viewed as a channel to approach such products in the digital era. To meet this demand, understanding how green customer attitudes play a critical role in changing consumer behavior is required. This new concept of "green-awakening" customer attitude encapsulates green positive feelings, green intent, green likeness, and green belief to overcome the limitations of measurements used previously. The objectives of this research were (1) to investigate and confirm the existence of green-awakening customer attitudes toward online platforms in the emerging economy and (3) to investigate differences in equivalent measurements across age, gender, and income properties in Thailand. Data on 348 Thai customers were collected from different parts of the country, including the Northeast, North, Central, East, and South. In addition, a multigroup moderation approach was employed to investigate differences among groups segmented by age, gender, and income. SPSS Amos was used on the basis of the composite-based model to analyze multigroup structural invariance among the segmented data. On the one hand, the findings showed that Thai customers' attitudes toward purchasing green products on an online platform are more likely to be affected by perceived relative advantage, perceived online social norms, and perceived risk. On the other hand, perceived online compatibility did not have a statistically significant effect on how green customers felt at an aggregate level. According to the findings of the multigroup analysis, Thai customers with a mid-high income level perceived green products positively and appeared to be able to afford them on an online platform when compared to other groups, which suggests that an income-based segment could moderate Thai customers' attitudes toward purchasing green products on an online platform. Marketers could use the concept and idea of “green-awakening” customer attitudes to strengthen how to decide the precise target segmentation of green consumers.

[1]  Sliman S. Alsoboa,et al.  Assessing customers perception of online shopping risks: A structural equation modeling–based multigroup analysis , 2023, Journal of Retailing and Consumer Services.

[2]  S. Li,et al.  Grandparenting and subjective well-being in China: The moderating effects of residential location, gender, age, and income. , 2022, Social science & medicine.

[3]  C. Ketkaew,et al.  Influences of Green Eating Behaviors Underlying the Extended Theory of Planned Behavior: A Study of Market Segmentation and Purchase Intention , 2022, Sustainability.

[4]  Yuan Ma,et al.  The Impact of Online Environmental Platform Services on Users’ Green Consumption Behaviors , 2022, International journal of environmental research and public health.

[5]  Ricardo Chiva,et al.  Understanding Green Innovation: A Conceptual Framework , 2022, Sustainability.

[6]  I. Purcărea,et al.  Major Shifts in Sustainable Consumer Behavior in Romania and Retailers’ Priorities in Agilely Adapting to It , 2022, Sustainability.

[7]  W. A. Srisathan,et al.  Industry 4.0 for Thai SMEs: Implementing Open Innovation as Innovation Capability Management , 2022, International Journal of Technology.

[8]  W. A. Srisathan,et al.  A COVID-19 disruption: The great acceleration of digitally planned and transformed behaviors in Thailand , 2022, Technology in Society.

[9]  C. Echebarria,et al.  Effect of the COVID-19 pandemic on public managers’ attitudes toward digital transformation , 2021, Technology in Society.

[10]  Richard T. Gretz,et al.  When the green in green packaging backfires: Gender effects and perceived masculinity of environmentally friendly products , 2021, International Journal of Consumer Studies.

[11]  M. Adil,et al.  Predicting Online Travel Purchase Behavior: The Role of Trust and Perceived Risk , 2021, Journal of Quality Assurance in Hospitality & Tourism.

[12]  Fauzia Jabeen,et al.  What drives willingness to purchase and stated buying behavior toward organic food? A Stimulus–Organism–Behavior–Consequence (SOBC) perspective , 2021 .

[13]  Xuhui Wang,et al.  Effects of hedonic shopping motivations and gender differences on compulsive online buyers , 2021, Journal of Marketing Theory and Practice.

[14]  Junbin Wang,et al.  Sustainable Supply Chain Decisions under E-Commerce Platform Marketplace with Competition , 2021, Sustainability.

[15]  Pooja Mehta,et al.  Consumer attitude towards green products: revisiting the profile of green consumers using segmentation approach , 2021 .

[16]  F. Nonino,et al.  Which are the determinants of green purchase behaviour? A study of Italian consumers , 2021 .

[17]  E. Watanabe,et al.  Certification label and fresh organic produce category in an emerging country: an experimental study on consumer trust and purchase intention , 2021 .

[18]  W. A. Srisathan,et al.  Towards the open eco-innovation mode: A model of open innovation and green management practices , 2021, Cogent Business & Management.

[19]  Wonjoon Kim,et al.  The moderating role of subjective norms and self-congruence in customer purchase intentions in the LCC market: Do not tell me I am cheap , 2020 .

[20]  Claudel Mombeuil,et al.  Relative convenience, relative advantage, perceived security, perceived privacy, and continuous use intention of China’s WeChat Pay: A mixed-method two-phase design study , 2020 .

[21]  V. J. Sivakumar,et al.  Influence of Perceived Risk Dimensions on e-Shopping Behavioural Intention among Women - A Family Life Cycle Stage Perspective , 2020, J. Theor. Appl. Electron. Commer. Res..

[22]  J. Paul,et al.  An innovation resistance theory perspective on purchase of eco-friendly cosmetics , 2020 .

[23]  Seyedali Ahrari,et al.  The effects of consumer attitude on green purchase intention: A meta-analytic path analysis , 2020 .

[24]  V. Sreedharan,et al.  Relating the role of green self‐concepts and identity on green purchasing behaviour: An empirical analysis , 2020 .

[25]  Jihad Mohammad,et al.  Does It Matter Who Exhibits More Green Purchase Behavior of Cosmetic Products in Asian Culture? A Multi-Group Analysis Approach , 2020, International journal of environmental research and public health.

[26]  Patrik Söderholm The green economy transition: the challenges of technological change for sustainability , 2020, Sustainable Earth.

[27]  Daniel Belanche,et al.  Mobile Apps Use and WOM in the Food Delivery Sector: The Role of Planned Behavior, Perceived Security and Customer Lifestyle Compatibility , 2020, Sustainability.

[28]  Yukun Bao,et al.  Cloud computing adoption and its impact on SMEs’ performance for cloud supported operations: A dual-stage analytical approach , 2020 .

[29]  C. Ketkaew,et al.  The interrelationships of work-related factors, person-environment fit, and employee turnover intention , 2020 .

[30]  H. Nguyen,et al.  Materialistic values and green apparel purchase intention among young Vietnamese consumers , 2019 .

[31]  Pawan Kumar,et al.  Exploring the influence of demographic factors on perceived performance risk among youth towards online shopping in Punjab , 2019, International Journal of Business and Globalisation.

[32]  Zetian Fu,et al.  Factors affecting consumers’ purchase intention of eco‐friendly food in China: The evidence from respondents in Beijing , 2019, International Journal of Consumer Studies.

[33]  J. Shao Sustainable consumption in China: New trends and research interests , 2019, Business Strategy and the Environment.

[34]  Cyril Foropon,et al.  Green product attributes and green purchase behavior , 2019, Management Decision.

[35]  J. K. Arnulf,et al.  Like or want? Gender differences in attitudes toward online shopping in China , 2019, Psychology & Marketing.

[36]  Sunyoung Cho,et al.  Adoption of multimedia technology for learning and gender difference , 2019, Comput. Hum. Behav..

[37]  Luning Liu,et al.  Understanding consumers' reactance of online personalized advertising: A new scheme of rational choice from a perspective of negative effects , 2019, Int. J. Inf. Manag..

[38]  Michael Groß,et al.  Mobile shopping loyalty: The salient moderating role of normative and functional compatibility beliefs , 2018, Technology in Society.

[39]  Emilio Galdeano-Gómez,et al.  Eco-innovation measurement: A review of firm performance indicators , 2018, Journal of Cleaner Production.

[40]  L. G. Pee,et al.  Signaling effect of website usability on repurchase intention , 2018, Int. J. Inf. Manag..

[41]  Rui-Ting Huang,et al.  What motivates people to continuously post selfies? The moderating role of perceived relative advantage , 2018, Comput. Hum. Behav..

[42]  G. Shen,et al.  The moderating effect of subjective norm in predicting intention to use urban green spaces: A study of Hong Kong , 2018 .

[43]  Hs Chris Choi,et al.  Understanding repurchase intention of Airbnb consumers: perceived authenticity, electronic word-of-mouth, and price sensitivity , 2018 .

[44]  Yi-Shun Wang,et al.  What drives users' intentions to purchase a GPS Navigation app: The moderating role of perceived availability of free substitutes , 2017, Internet Res..

[45]  Robert Davis,et al.  A Comparison of Online and Offline Gender and Goal Directed Shopping Online , 2017 .

[46]  Tun-Chih Kou,et al.  Toward Sustainable Livelihoods: Investigating the Drivers of Purchase Behavior for Green Products , 2017 .

[47]  Thamaraiselvan Natarajan,et al.  Understanding the intention to use mobile shopping applications and its influence on price sensitivity , 2017 .

[48]  Jian Mou,et al.  Trust and Risk in Consumer Acceptance of e-Services: A Meta-Analysis and a Test of Competing Models , 2013, ICIS.

[49]  Shijiu Yin,et al.  Consumer trust in organic milk of different brands: the role of Chinese organic label , 2016 .

[50]  K. Faqih An empirical analysis of factors predicting the behavioral intention to adopt Internet shopping technology among non-shoppers in a developing country context: Does gender matter? , 2016 .

[51]  N. Pappas Marketing strategies, perceived risks, and consumer trust in online buying behaviour , 2016 .

[52]  H. Raghav Rao,et al.  Online shopping intention in the context of data breach in online retail stores: An examination of older and younger adults , 2016, Decis. Support Syst..

[53]  D. Morin,et al.  Task-shifting Using a Pain Management Protocol in an Emergency Care Service: Nurses' Perception through the Eye of the Rogers's Diffusion of Innovation Theory. , 2016, Pain management nursing : official journal of the American Society of Pain Management Nurses.

[54]  Guy D. Fernando,et al.  Do gender differences persist? An examination of gender diversity on firm performance, risk, and executive compensation , 2016 .

[55]  G. Mortimer,et al.  Online grocery shopping: the impact of shopping frequency on perceived risk , 2016 .

[56]  Yi Mou,et al.  Exploring Podcast Adoption Intention via Perceived Social Norms, Interpersonal Communication, and Theory of Planned Behavior , 2015 .

[57]  David C. Yen,et al.  Online shopping drivers and barriers for older adults: Age and gender differences , 2014, Comput. Hum. Behav..

[58]  Marko Sarstedt,et al.  Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research , 2014 .

[59]  Arpita Khare,et al.  Collective Self-Esteem and Online Shopping Attitudes among College Students: Comparison between the U.S. and India , 2014 .

[60]  Eric T. G. Wang,et al.  Understanding customers' repeat purchase intentions in B2C e‐commerce: the roles of utilitarian value, hedonic value and perceived risk , 2014, Inf. Syst. J..

[61]  Ivar Krumpal Determinants of social desirability bias in sensitive surveys: a literature review , 2013 .

[62]  Won-Moo Hur,et al.  The Normative Social Influence on Eco-Friendly Consumer Behavior: The Moderating Effect of Environmental Marketing Claims , 2012 .

[63]  H. Celik,et al.  Influence of social norms, perceived playfulness and online shopping anxiety on customers' adoption of online retail shopping , 2011 .

[64]  Blanca Hernández,et al.  Age, gender and income: do they really moderate online shopping behaviour? , 2011 .

[65]  Jiyeon Kim,et al.  Factors affecting adoption of product virtualization technology for online consumer electronics shopping , 2010 .

[66]  Seonaidh McDonald,et al.  Sustainable consumption: green consumer behaviour when purchasing products , 2009 .

[67]  B. Clegg,et al.  An investigation into the acceptance of online banking in Saudi Arabia , 2009 .

[68]  Ritsuko Ozaki,et al.  Pro‐environmental products: marketing influence on consumer purchase decision , 2008 .

[69]  Ellen Garbarino,et al.  GENDER DIFFERENCES IN THE PERCEIVED RISK OF BUYING ONLINE AND THE EFFECTS OF RECEIVING A SITE RECOMMENDATION , 2004 .

[70]  Rex B. Kline,et al.  Principles and Practice of Structural Equation Modeling , 1998 .

[71]  Carl A. Kallgren,et al.  A focus theory of normative conduct: Recycling the concept of norms to reduce littering in public places. , 1990 .

[72]  Gopal K. Sarangi,et al.  Sustainable consumer behaviour of Indian millennials: Some evidence , 2022, Current Research in Environmental Sustainability.

[73]  Theresa Maria Rausch,et al.  Bridge the gap: Consumers’ purchase intention and behavior regarding sustainable clothing , 2021, Journal of Cleaner Production.

[74]  A. George Assaf,et al.  Understanding and managing the threat of common method bias: Detection, prevention and control , 2021 .

[75]  Pui-Sze Chow,et al.  Investigating consumer attitudes and intentions toward online fashion renting retailing , 2020 .

[76]  Camelia Delcea,et al.  Modeling the Consumers Opinion Influence in Online Social Media in the Case of Eco-friendly Products , 2019, Sustainability.

[77]  A. Mattila,et al.  When organic food choices shape subsequent food choices: The interplay of gender and health consciousness , 2019, International Journal of Hospitality Management.

[78]  N. Jacobs,et al.  Does Age Make a Difference? Age as Moderator in the Association Between Time Perspective and Happiness , 2018 .

[79]  Dawn Bircha,et al.  Journal of Retailing and Consumer Services , 2018 .

[80]  R. Kline Principles and practice of structural equation modeling, 4th ed. , 2016 .

[81]  M. Sarstedt,et al.  A new criterion for assessing discriminant validity in variance-based structural equation modeling , 2015 .

[82]  A. Sperber Translation and validation of study instruments for cross-cultural research. , 2004, Gastroenterology.

[83]  Flemming Hansen,et al.  Branding and advertising , 2003 .

[84]  Pui-Mun Lee,et al.  Behavioral Model of Online Purchasers in E-Commerce Environment , 2002, Electron. Commer. Res..