CC BY
1Economics, Management and Sustainability
journal home page: https://jems.sciview.net
Rizkalla, N., Lestari, E. D., Arinto, B., Purnamaningsih, P., & Sulistyarini, N. (2022). Uncovering the determinants of environmentally-friendly apparel purchase intention in Indonesia: Incorporating environmental concern and knowledge into the theory of planned behavior. Economics, Management and Sustainability, 7(1), 43-58. doi:10.14254/jems.2022.7-1.4.
ISSN 2520-6303
Uncovering the determinants of environmentally-friendly apparel purchase intention in Indonesia: Incorporating environmental concern and knowledge into the theory of planned behavior
Nosica Rizkalla , Elissa Dwi Lestari , Boby Arinto , Purnamaningsih Purnamaningsih , Niken Sulistyarini
Faculty of Business, Universitas Multimedia Nusantara, Indonesia nosica.rizkalla@umn.ac.id; elissa.lestari@umn.ac.id; boby.arinto@umn.ac.id; purnamaningsih@umn.ac.id; niken.sulistyarini@student.umn.ac.id
Article history:
Received: March 02, 2021 1st Revision: March 29, 2022
Accepted: May 05, 2022
JEL classification:
F18 F64 O13 Q56 Q58
DOI:
10.14254/jems.2022.7-1.4
Abstract: The clothing industry is a high-growth industry that is attractive to be occupied by the business. However, behind its appeal, this industry brings harmful impacts to the environment. The fashion industry is considered the 2nd most destructive industry in the world. Environmental damage due to industry occurs not only in the production process but also in consumption and disposal. As the growth of this industry cannot be separated from consumer intervention, efforts to improve the environmental impact caused by this industry also require consumers' role. Consumers can improve the environment through their consumption choices, such as replacing the usual products with more sustainable products. Therefore, it is essential to discover what factors can encourage consumers to consume more environmentally friendly apparel. This study intends to explore consumer motivation in deciding to buy environmentally friendly apparel by applying the extended theory of planned behavior. As an extension, this study includes two additional variables, namely environmental concern and environmental knowledge. This study involved 407 respondents who have followed some environmentally friendly apparel brands. The collected data would then be analyzed with smartPLS 3.0. The result of the study showed that all variables are proven to be significant in influencing consumers' purchase intention for environmentally-friendly apparel, except for environmental concern, which
Corresponding author: Nosica Rizkalla E-mail: nosica.rizkaUa@umn.ac.id
This open access article is distributed under a Creative Commons Attribution (CC-BY) 4.0 license.
influence is indirect through attitude. The result of this study gives new insight into what shapes the intention of buying environmentally-friendly apparel.
Keywords: theory of planned behavior, environmentally-friendly apparel, environmental concern, environmental knowledge
1. Introduction
1.1. Research background
The fashion industry is often regarded as one of the most environmentally damaging industries. This industry is even right behind the oil industry in terms of the amount of pollution (Villemain, 2019). There are various environmental damages caused by the fashion industry. The first impact is on the availability and condition of the water. As an illustration, to produce 1 kg of cotton cloth, the amount of water used is approximately 20000 liters. (Leahy, 2015). On average, the water consumed by the fashion industry per year is billion cubic meters. Moreover, about 20% of the waste in water globally is contributed by the fashion industry (Shihab, 2019).
In addition, the fashion industry is also considered to contribute to the increase in gas emissions in the world. Approximately 10% of gas emissions in the world can be accounted to the fashion industry; this amount is the same as the number of emissions produced by the aviation industry worldwide (Ro, 2020). The fashion industry is also one of the causes of the high levels of nitrogen dioxide. This substance is considered to be much more potent and dangerous when compared to carbon dioxide. The fashion industry produces nitrogen dioxide through a synthetic polymer production process which is a material to make fabrics last longer (Jaye, 2019).
The fashion industry itself is proliferating. Reporting on the results of ShareCloth's research, as of December 2018, the number of transactions in the fashion industry has reached $ 1.7 trillion. Indonesia's fashion industry grows by 4% yearly (Shihab, 2019). The rapid growth of the fashion industry is due to the development of fast fashion. Fast fashion has created a new lifestyle, where consumers can easily buy clothes and change their dress style. Today's consumers bought clothes five times more often than consumers 20 years ago. However, it is stated that the usage period is much shorter. Based on the data, 85% of clothes are eventually thrown away and become garbage every year. Waste in the form of clothes is difficult to decompose, and the decomposition takes a long time, which is tens to hundreds of years (Beall, 2020). The process of washing clothes also has a destructive impact on the environment. Each year, about 500,000 tons of microfiber are dumped into the sea. As a comparison, the microfiber waste resulting from washing clothes is equivalent to 50 billion plastic bottles (McFall-Johnsen, 2019).
Due to the significant impact of the fashion industry on environmental damage, there is a growing urgency to produce fashion products that are more environmentally friendly. This urgency is not only related to business awareness of environmental issues but also to business prospects for environmentally friendly fashion products. Currently, consumer awareness is starting to emerge about the importance of protecting the environment and the seriousness of environmental issues (Connell, 2010). Consumers are also beginning to realize that they can contribute to improving environmental conditions through the actions and choices they make. One of the ways is through the purchase of environmentally friendly products or slow fashion products (Mostafa, 2007). Unfortunately, although consumer awareness of the importance of protecting the environment has started to emerge (Connell, 2020), their interest in buying slow fashion or sustainable fashion products is still low (Awaliyah, 2019). This is because environmental issues in Indonesia are often ignored and forgotten (Octaviyani, 2019). As an illustration, only 20% of Indonesia's total population is aware of and concerned about environmental issues (Kustiani, 2021).
It is believed that adopting a more environmentally-friendly product alternative can solve environmental problems (Zhang et al., 2019). For this reason, an understanding of what factors can further encourage consumers to consume environmentally friendly fashion products is needed (Wu & Cheng, 2019). Understanding what factors can further encourage consumers to consume environmentally-friendly fashion products is very important for business people and the government in designing the right strategies and policies. Therefore, this study intends to explore the antecedents of environmentally friendly apparel purchase intention by expanding the theory of planned behavior. The theory of planned has been commonly used to elucidate the various types of the intention of behavior, including environmentally-friendly behavior, and is considered one of the
most prominent approaches to explaining behavior and intention (Jang et al., 2014). Additionally, this theory has also been extensively applied to explain the buying intention of green products (Hsu et al., 2017)
To increase the explaining power of the theory of planned behavior, some studies have added additional variables to this theory (Zhang et al., 2019). The added variables are moral norms (Liu et al., 2019), social impression and environmental ethics (Chen and Hung, 2016), environmental concern (Zhang et al., 2019; Yadhav & Pathak, 2016, Paul et al., 2016; Chen & Tung, 2014), country of origin (Hsu et al., 2017), self-concept (Nguyen et al., 2019) and environmental knowledge (Yadav & Pathak, 2016). This study also included two additional variables in the model, namely environmental concern and environmental knowledge. Environmental concern is included because some studies found that this variable can influence both attitude (Yadav & Pathak, 2016; Smith & Paladino, 2010) and intention (Paul et al., 2016; Yadav & Pathak, 2016). It is believed that an individual with a more serious concern for the environment would also portray a more favorable attitude towards environmentally-friendly products, increasing the likelihood of purchasing the products. Meanwhile, environmental knowledge is added because it is one of the vital factors in explaining an individual's decision to engage in sustainable behavior, including purchasing environmentally-friendly products (Scott & Vigar-Ellis, 2014). It has been proven that people tend to have a positive attitude toward a behavior when they possess sufficient knowledge regarding that behavior (Rizkalla & Erhan, 2020). In the case of the purchase of environmentally-friendly apparel, if the consumers have adequate knowledge about the product, this will influence their attitude toward the product, which will motivate them to purchase it (Haron et al., 2005).
This research is conducted in Indonesia for several reasons. First of all, most of the studies about implementing the theory of planned behavior and its application to environmentally-friendly products have been conducted in developed countries (D'souza & Taghian, 2005). Therefore, it is essential to perform the same study on the developing country to validate this theory's effectiveness in explaining environmentally-friendly behavior in the different cultural and economic contexts (Soyez, 2012). Next, there is still very few literatures discuss the consumption behavior of environmentally friendly fashion products (Ellis et al., 2012), especially in Indonesia.
1.2. Literature review
The theory of planned behavior has been widely acknowledged as one of the most critical and prominent theories in elucidating various types of intention (Chen & Deng, 2016; Wu & Chen, 2014). The theory of planned behavior is a refinement of the theory of reasoned action from Ajzen and Fishbein. Based on the theory of reasoned action, individual behavior is formed by two factors, which are attitude and subjective norm. Ajzen then expanded this theory to become the theory of planned behavior by adding an additional factor, namely perceived behavior control, which is someone's belief regarding the ease or difficulty of carrying out a behavior (Kostadinova, 2016). With this addition, it is assumed that consumers are well aware of the obstacles of carrying out behavior and take them into account when making decisions to carry out these behaviors (Hansen, 2008). This theory itself consists of three determinants. The first one is an attitude, defined as the extent to which a person has an evaluation of good and bad judgment (Ajzen, 1991). The second one is the subjective norm which refers to the social pressure felt to do something or not to do something (Ajzen, 1991). The third is perceived behavioral control, which refers to the perceived ease or difficulty in carrying out behavior and is assumed to reflect past experiences and anticipated obstacles (Ajzen, 1991).
1.2.1. Environmental concern
Environmental concern is defined as the degree of an individual's concern towards the environment, ecological degradation, and environmental protection (Nguyen et al., 2019). It refers to an individual's awareness to be proactively involved in finding environmental degradation solutions (Paul et al., 2016). Environmental concern holds a vital role in decision-making (Diamantopoulos et al., 2003). It is considered the defining antecedent of purchase intention for environmentally-friendly products (Bamberg, 2003). Environmental concern is also believed to be able to influence purchase intention directly and indirectly through the attitude (Hartmann & Apaolaza-Ibanez, 2012; Lin & Syrgabayeva, 2016; Jaiswal & Kant, 2018). As mentioned by Yadav & Pathak (2017), environmental concern does not only influence the purchase intention of environmentally-friendly products but also the attitude of individuals towards the aforementioned product. An individual's higher level of environmental concern led to a more positive evaluation of the product (attitude) and a more likelihood of purchasing the product (Chen & Tung, 2014). As also postulated by Jaiswal & Kant (2018), individuals with a higher level of environmental concern would
have a higher tendency to perform environmentally-friendly behavior than those with a lower level of environmental concern (Jaiswal & Kant, 2018). Therefore, this hypothesis is formed
H1: Environmental concern has a positive effect on attitude
H3: Environmental concern has a positive effect on purchase intention of environmentally friendly apparel
1.2.2. Environmental knowledge
Environmental knowledge is defined as individuals' comprehension and knowledge of the environment and its related issues (Mostafa, 2009). It is believed that individuals with higher knowledge of the environment would have more tendency to conduct pro-environmental behavior than those with a lower level of environmental knowledge (Kollmuss & Agyeman, 2002). Additionally, individuals would be more motivated to be involved in environmental preservation activities if they were more aware of environmental issues (Barber et al., 2010). Likewise, if they feel unfamiliar with the environmental issue, they would be more reluctant to perform pro-environmental behavior (Vicente-Molina et al., 2013). Concerning the theory of planned behavior, environmental knowledge plays a part in influencing behavior directly and indirectly through attitude. Several studies have proved that environmental knowledge can shape individuals' attitudes toward purchasing green products (Mostafa, 2009). Likewise, as Yadav & Patak (2016) asserted, environmental knowledge was able to influence the attitude, which further would also shape the individuals' behavior. However, the type of knowledge is also essential. It is mentioned that subjective knowledge is more powerful than objective knowledge in influencing behavior. Rizkalla & Erhan (2020) postulated that knowledge attained from direct experience could affect individuals' perceptions, beliefs, and behavior. Additionally, subjective knowledge, also known as action-related knowledge, is considered more likely to shape behavior (Tanner & Kast, 2003). Therefore, this study would incorporate subjective knowledge instead of objective knowledge. Thus, this hypothesis is formed
H2: Environmental knowledge has a positive effect on attitude
H4: Environmental knowledge has a positive effect on purchase intention of environmentally friendly apparel
1.2.3. attitude
Attitude can be defined as the favorable or unfavorable psychological reaction an individual shows towards a specific object or behavior (Eagly & Chaiken, 2007). Regarding environmentally-friendly product buying behavior, attitude is defined as the degree to which consumers evaluate environmentally friendly products to be either positive or negative (Chen & Deng, 2016). It is a fundamental psychological emotion that can predict consumers' behavior, including pro-environmental behavior like buying environmentally-friendly fashion products (Moon & Attiq, 2018). Attitude has been significant in influencing an individual's decision to buy environmentally-friendly products (Bamberg & Moser, 2007., Hartmann & Apaolaza-Ibanez, 2012). In some studies, the attitude has the most extensive prediction magnitude than other variables (Liang, 2014). Attitude is found to be positively and directly affecting purchase intention of several types of environmentally friendly products, like the green hotel (Han et al., 2010; Chen & Tung, 2014), organic food (Chen, 2007; Zhou et al., 2013; Nguyen et al., 2019; Lee et al., 2015). Therefore, the following hypothesis is formulated.
H5: Attitude has a positive effect on purchase intention of environmentally friendly apparel
1.2.4. Subjective norm
A subjective norm is defined as the individual's perception of how other people think about a specific object or behavior (Ajzen, 1991). Subjective norm is not the actual reflection of people's view about behavior but rather a belief of an individual of what other people might think about the specific behavior (Borusiak et al., 2020). Subjective norm is considered the same with a group or peer pressure that can form individual attitude, perception, and behavior (Jones et al., 2011). In the context of this study, individuals will be more willing to purchase an environmentally-friendly fashion product if they think that their friends would approve or praise this behavior. Subjective norm has been proven to be able to predict environmentally friendly-related behavior, like intention to purchase organic food (Chen, 2007; Lee et al., 2015; Teng & Wang, 2015) and revisit intention of the green hotel (Han et al., 2010; Chen & Tung, 2014; Teng et al., 2015). According to Teng & Wang
(2015), Subjective norm is more powerful than attitude and perceived behavioral control in influencing purchase intention. Based on these narrations, the following hypothesis is proposed:
H6: Subjective norm has a positive effect on purchase intention of environmentally friendly apparel
1.2.5. Perceived behavioral control
Perceived behavior control is the individual's perceived ease or difficulty with a particular behavior (Ajzen, 1991). In this sense, certain behavior is more likely to happen if the individual possesses the motivation and ability to conduct the behavior (Zhou et al., 2013). Perceived behavioral control is essential as it plays a significant role in individual decisions on whether to perform a behavior or not (Liobikiene et al., 2016). It has been proven to be able to influence purchase intention for green products (Moser, 2015), organic food (Chen, 2007., Lee et al., 2015; Th0gersen, 2016; Tarkiainen & Sundqvist, 2015), and green hotels (Han et al., 2010; Chen & Tung, 2014). In the case of environmentally-friendly fashion products, individuals should possess adequate knowledge, access (in terms of time and location), and resource to make purchase decisions of these products. When individuals experience any inconvenience in purchasing and decision-making (for example, having a doubt due to lack of knowledge, not feeling confident due to budget and time constraints), this will hinder them from buying a particular product (Chen & Tung, 2014). This implies that perceived behavioral control can influence purchase intention, which is the purchase intention of environmentally-friendly fashion apparel in this study context. Based on these postulations, the following hypothesis is proposed:
H7: Perceived behavioral control has a positive effect on purchase intention of environmentally friendly apparel
1.2.6. Research framework
Below is the research framework used by this study. As shown in Figure 1, this study consists of 6 constructs, 2 of which are exogen variables, while the rest are endogen. In this study, seven research hypotheses will be tested to analyze the application of the extended theory of planned behavior in the purchase intention of environmentally-friendly apparel.
2. Research methodology
To achieve our objective, we conduct the survey in Jakarta and its urban area (Greater Jakarta or Jabodetabek). The Greater Jakarta area is chosen because it is considered one of the most polluted areas in Indonesia. It is even mentioned as one of the most environmentally-vulnerable cities globally, along with New Delhi (Karyza, 2021). Moreover, Greater Jakarta is also the most populated area in Indonesia, in which the total population of this area in 2021 is around 26 million people (World Population Review). Regarding consumption and buying power, Greater Jakarta is also ahead of other cities in Indonesia. It is mentioned that most of Indonesia's money is circulated in the Greater Jakarta Area. This buying power is relevant for environmentally-friendly fashion apparel, as most are relatively more expensive than the non-environmentally friendly ones (Khatib, 2021).
The respondents of this study are Millennials and older Gen Z aged between 22 - 40. This age range is chosen because 22 years old is the average age of finishing university level in Indonesia and starting to enter work force. We select this age range because we assume that they have already earned their own income and thus become fully responsible for their spending decisions. Moreover,
it is mentioned that gen Z and millennials have a higher likelihood of being involved in pro-environmental behavior as they are more sustainably oriented than the older generation (Y amane & Kaneko, 2021). As for the research instruments, we adopted the items for each variable from various sources.
Items for measuring attitude were adopted from Yadav & Pathak (2016). As for subjective norms, the items were adopted from Zhang et al. (2019). Meanwhile, perceived behavior control was measured by items from Maichum et al. (2016) and Liu et al.(2019), while environmental concern was measured by items from Al Mamun et al. (2016). Last but not least, the measurement for purchase intention was adopted from Maichum et al. (2016). The detail of measurement is presented in Table 1 Below
Table 1: Measurements and outer loadings
Variable Items Code Outer Loadings
Purchase Intention I intend to purchase environmentally-friendly apparel in my PI1 0.874
next purchase.
I would like to purchase environmentally-friendly apparel PI2 0.775
I would like to consider purchasing environmentally-friendly PI3 0.727
apparel first
Attitude Purchasing environmentally-friendly apparel is a good idea. ATT1 0.856
Purchasing environmentally-friendly apparel is a wise idea ATT2 0.869
Purchasing environmentally-friendly apparel would be ATT3 0.806
pleasant
Subjective Norm My society expects me to purchase environmentally-friendly SN1 0.824
apparel
I value the opinion and feeling of my family on purchasing SN2 0.838
environmentally-friendly apparel
I value the opinion and feelings of my friends on purchasing SN3 0.718
environmentally-friendly apparel
Perceived Whether or not I buy green products is up to me. PB1 0.786
Behavioral Control I am free to choose environmentally-friendly apparel when PB2 0.827
purchasing it
I have resources, time, and opportunities to purchase PB3 0.759
environmentally-friendly apparel
Environmental I believe major social changes are necessary to protect the EC1 0.703
Concern natural environment
I believe humans must live in harmony with nature in order EC2 0.807
to survive
I think environmental problems are very important to EC3 0.892
address
I think we should care more about environmental problems EC4 0.845
Environmental I prefer to check the eco-labels and certifications on EK1 0.825
Knowledge environmentally-friendly apparel before purchase
I want to have a deeper insight of the inputs, processes and EK2 0.873
impacts of environmentally-friendly apparel before purchase
I would prefer to gain substantial information on EK3 0.855
environmentally-friendly apparel before purchase
The questionnaires in this study were initially developed in English and then translated to Indonesian using the back-translation technique. This back-translation technique is employed to ensure that the meaning of the items would not be altered when they were translated to another language (McGorry, 2000). In this study, the non-probability sampling method, specifically purposive sampling, was employed. An online survey is administered via personal contact and Instagram. We first gave the respondents the lists of 14 local slow fashion brands in Indonesia and asked them whether they had already known and followed the Instagram accounts of the given brands. If the respondents state that they know and have already followed at least three brands, they are eligible to fill the rest of the questionnaire. However, if the respondents do not know or know only one or two brands, they may stop filling out the questionnaire. After the screening process, a total of 407 questionnaires would be used for the final analysis. This is deemed to be sufficient as, according to Tabachnick & Fidell (2013), 300 observations are the basic rule of an adequate sample size. As for data analysis, this study used component-based SEM analysis processed by smartPLS 3.0.
3. Result and analysis
This part will be a discussion about the profile of our respondents. This study consisted of 407 respondents consisting of 21.6% male and 78.4% female. Most of the respondents are 22-24 years old with 48.89%, followed by 25-27 years old with 25.3%. As for employment, most of them are employees with 36.6%. Details of the respondent's profile can be seen in Table 2 below:
Table 2: Profile of the respondents
Age Group Frequency Percentage
22 - 24 199 48.89%
25 - 27 103 25.3%
28 - 30 41 10.1%
31 - 33 27 6.6%
34 - 36 8 2%
37 - 40 29 7.1%
Gender
Female 319 78.4%
Male 88 21.6%
Occupation
Student 105 25.8%
Employee 149 36.6%
Entrepreneur 97 23.8%
Others 56 13.8%
3.1. The assessment of measurement model
This study implemented a two-stage analysis variance-based method Partial Least Square, processed by smartPLS 3.0. This study will assess two models with this method: measurement and structural models. In the measurement model, reliability, convergent validity, and discriminant validity were performed to ensure the effectiveness and the accuracy of the items used to measure research variables in this study. Then, in the structural model, this study would test the research hypotheses by assessing the standardized path coefficients and their significance levels.
I Table 3: Convergent validity and reliability
Variables No of AVE Composite Cronbach's
Items Reliability Alpha
Purchase Intention 3 0.634 0.838 0.710
Environmental Concern 4 0.664 0.887 0.829
Environmental Knowledge 3 0.725 0.888 0.810
Attitude 3 0.713 0.882 0.798
Subjective Norms 3 0.631 0.836 0.740
Perceived Behavior Control 3 0.625 0.833 0.701
Two parameters were analyzed to ensure convergent validity. These two parameters are outer loadings and average variance extracted (AVE). For the outer loadings, the minimum threshold is 0.7. As shown in Table 1, the outer loadings score for all measures exceeds 0.7, ranging from 0.703 to 0.892, indicating that the convergent validity condition has been met.. Then, to ensure that convergent validity has been achieved, the average variance extracted (AVE) value should also exceed 0.50. As portrayed in Table 3, AVE values for all constructs range from 0.625 to 0.725, which was higher than the minimum requirement of 0.5. This result indicates an acceptable convergent validity. Next, to assess the reliability of the construct, this study analyzed the score of Cronbach's alpha and composite reliability, in which the minimum threshold of both parameters is 0.7. As can be seen in Table 3, the score of both Cronbach's alpha and composite reliability for all constructs exceeds 0.7, which concludes that all constructs have met the reliability requirement.
Table 4: Fornell-Larcker criterion
Attitude EC EK PBC PI SN
Fornell-Larcker Criterion
Att 0.844
EC 0.497 0.815
EK 0.405 0.424 0.852
PBC 0.283 0.296 0.313 0.791
PI 0.406 0.247 0.326 0.295 0.796
SN 0.31 0.056 0.241 0.054 0.23 0.794
As for discriminant validity, this study used two parameters, namely Fornell- Larcker Criterion and cross-loadings. Based on the Fornell-Larcker criterion, the AVE for each indicator should be greater than the highest squared correlation between the constructs. As presented in Table 4 above, all constructs have met this criterion.
Table 5: Cross loadings
ATT EC EK PBC PI SN
ATT1 0.857 0.487 0.321 0.246 0.296 0.195
ATT2 0.869 0.379 0.325 0.196 0.354 0.267
ATT3 0.806 0.391 0.378 0.271 0.376 0.322
EC1 0.35 0.703 0.342 0.21 0.182 0.077
EC2 0.373 0.807 0.332 0.289 0.142 -0.004
EC3 0.411 0.892 0.399 0.27 0.199 0.033
EC4 0.468 0.844 0.316 0.206 0.263 0.069
EK1 0.377 0.352 0.826 0.221 0.216 0.22
EK2 0.309 0.307 0.874 0.289 0.312 0.194
EK3 0.35 0.421 0.855 0.288 0.302 0.201
PBC1 0.19 0.214 0.257 0.79 0.206 -0.033
PBC2 0.256 0.35 0.3 0.831 0.236 -0.063
PBC3 0.221 0.14 0.19 0.749 0.252 0.203
PI1 0.379 0.282 0.281 0.3 0.874 0.199
PI2 0.289 0.131 0.248 0.201 0.778 0.248
PI3 0.292 0.158 0.25 0.189 0.73 0.094
SN1 0.339 0.117 0.245 0.137 0.234 0.825
SN2 0.177 -0.013 0.152 -0.048 0.172 0.836
SN3 0.16 -0.036 0.146 -0.027 0.087 0.717
Additionally, the cross-loading score for all constructs also exceeded the minimum requirement of 0.7, as shown in Table 5 above. The result of these two parameters indicated that the discriminant validity for all constructs had been achieved.
3.2. The assessment of structural model
Figure 2: Structural model
EC1
EC 2
EC 3
EC 4
EK1
EK2
EK3
Prcvd Behavioral Control
Next, this study examines the structural model to test the research hypothesis. A bootstrapping method with 5000 resamples was employed to test the significance of each path coefficient (Hair et al., 2016). Table 6 and Figure 2 show the test results for each hypothesis. Overall, six of the seven hypotheses in the structural equation model were supported. First, this study found that attitude was influenced by environmental concern (P = 0.397, p < 0.000) and environmental knowledge (P = 0.237, p < 0.000) which indicates that Hypothesis 1 and 2 are supported. Then attitude was also found to have a significant effect on purchase intention of environmentally friendly apparel (P = 1.453, p < 0.001), along with subjective norm (P = 0.104, p < 0.017) perceived behavioral control (p = 0.170, p < 0.000) and environmental knowledge (P = 0.140, p < 0.013), thus Hypothesis 4, 5, 6 and 7 are supported. Meanwhile, environmental concern was found to have no direct and significant effect on purchase intention of environmentally-friendly apparel (P = -0.003, p < 0.961). Hence, Hypothesis 3 is not supported.
Table 6: Test results
Path Beta p-value t-value Adj R2 F2
Env.Concern ^ Attitude 0.397 0.000 8.798 0.290 0.183
Env.Knowledge ^ Attitude 0.237 0.000 4.982 0.065
Env.Concern ^ Purchase -0.003 0.961 0.049 0.219 0.000
Intention
Env.Knowledge^ Purchase 0.140 0.013 2.479 0.018
Intention
Attitude ^ Purchase Intention 0.270 0.000 4.770 0.060
Subjective Norms ^ Purchase 0.104 0.017 2.382 0.012
Intention
Prcvd. Behavioral ^ Purchase 0.170 0.000 3.508 0.032
Intention
Indirect Effect
Env. Concern ^ Attitude ^ 0.107 0.000 4.035
Purchase Intention
Env. Knowledge ^ Attitude ^ 0.064 0.000 3.523
Purchase Intention
Next, this study also aims to assess the overall quality of the proposed model. This can be done by computing the Goodness of Fit, which indicates the fitness of the proposed model explained by the empirical data (Ruangkanjanases et al., 2020). In this study, we use the Goodness of Fit (GoF) proposed by Tenenhaus et al. (2005) with this formula:
GoF = JCommunality x r2 = V066 x 0.25 = 0.44
As asserted by Wetzels et al. (2009), the cutoff value GoF effect size is 0.1 for GoFsmali, 0.25 for GoFmedium, and 0.36 for GoFiarge. Based on the calculation, the GoF for this study is 0.44. The result is above the minimum threshold of GoFiarge; thus, we conclude that the proposed model in this study has performed well based on the comparison with the baseline of GoF explained above. This also indicated that the model has an appropriate overall fit.
4. Discussion
This study aims to investigate the application of the extended theory of planned behavior on environmentally-friendly apparel. In this study, the theory of planned of behavior proposed by Ajzen (1991) is extended by adding two additional variables, namely environmental concern and environmental knowledge, which these two variables serve as the direct predictor of purchase intention and indirect predictor through attitude. Several antecedents, both direct and indirect ones, are tested on the purchase intention of environmentally-friendly apparel. In this study, 6 out of 7 hypotheses were supported. Out of 5 direct predictors, attitude is found to have the most substantial impact on purchase intention. This result shows the same pattern as the study conducted by Paul et al. (2016), which also found attitude as the strongest predictor of purchase intention of green products.
This study is helpful to give insights and become a roadmap for the decision-makers, both from the business and policy-maker sides. For businesses, the result of this study can provide them with a clue about how to incorporate the theory of planned behavior and its extension in promoting their green product. As discovered in the study, the attitude has the biggest influence on environmentally-friendly apparel purchase intention. This indicates that the more positive attitude individuals have
towards the environmentally-friendly product, the more likelihood for them to form purchase intention for the aforementioned product. As postulated by Barber et al. (2010), attitudes are considered as the strongest foundation of an object, be it a product or specific behavior. Therefore, the producer of environmentally-friendly apparel has to create a strategy that can enhance consumers' attitude towards their products and the buying behavior for green products. One of the strategies is utilizing celebrity endorsement in their marketing campaign in order to form a favorable attitude towards the usage of environmentally-friendly apparel (Varah et al., 2020).
Additionally, utilizing a well-known and respectable celebrity or public figure can help the company enhance the image of environmentally-friendly apparel. This image enhancement is essential in the formation of a positive attitude of consumers. As mentioned by Yadav & Pathak (2016), an individual's attitude can be altered by creating a positive and favorable image of green products.
This study proposes that the attitude towards environmentally-friendly apparel is influenced by environmental concern and environmental knowledge. Based on the result, both environmental concern and environmental knowledge significantly affect attitude. This reflects that these two variables can be utilized to enhance the attitude of consumers towards green products, specifically environmentally-friendly apparel, in the context of this study. The company producing environmentally-friendly apparel can incorporate environmental concerns in their marketing campaign by highlighting the seriousness of environmental issues and how their product can preserve the environment. This campaign could increase the environmental concern of the consumers, and as asserted by Chen & Tung (2014), when consumers feel a high concern towards the environment, they will form a more positive evaluation of environmentally-friendly products and behave accordingly.
However, this study found that environmental concerns did not directly affect the purchase intention of environmentally friendly. For environmental concerns, the effect is indirect through attitude. This is similar to the findings from Nguyen et al. (2019), who also found that environmental concerns did not affect purchase intention. Thus, it can be concluded that if someone has concerns towards the environment and its issues, this will not necessarily be actualized into environmentally friendly products buying behavior. As stated by Mostafa (2009), in order to be able to turn environmental concern into a real purchase action, the person must first have a positive attitude towards environmentally friendly products.
In regards of environmental knowledge, this study found that it can influence both attitude and consumers' purchase intention for environmentally-friendly apparel. As mentioned by Conraud-Koellner & Rivas-Tovar (2009), individuals' perceptions and attitude towards environmentally-friendly products are highly determined by the degree of knowledge they possess about environmental issues and how environmentally-products can help in solving such issues. Likewise, it has been found that the lack of environmental knowledge is one of the biggest barriers for the individual in purchasing environmentally-friendly products (Rokicka, 2002).
This result can give cues to the business in promoting their environmentally friendly apparel. The business should not only highlight the functionality of the product but also highlight how using the product can actually help tackle environmental problems. In this sense, the business should tailor their marketing campaign into a more educational one, in which the main aim is not merely to persuade the consumers to buy the product, but more to give them new knowledge and perspective about environmental problems, environmentally-friendly products and the relation between these two.
In this study, subjective norms and perceived behavioral control were also found to be significantly affecting purchase intention of environmentally-friendly apparel. Therefore, the company producing environmentally-friendly apparel can utilize these two factors to encourage the consumers to try the product. For subjective norms, it is suggested to put the act of purchasing environmentally-friendly apparel in a positive light by working together with a public figure and influencer whom consumers look up to (Ham et al., 2015). It can also be done by highlighting that the act of purchasing environmentally-friendly apparel has become a new trend as it is found that consumers would be more likely to engage in a behavior that they believe has also been done by a lot of people (Al Mamun et al., 2018).
As for perceived behavior control, it has been widely acknowledged as one of the predictors for purchase intention of the environmentally-friendly product (Baker et al., 2007). It is believed that individuals would be more likely to form purchase intention over the environmentally-friendly product if they believe that they can afford it, both financially and technically (Chen & Peng, 2012). Therefore, the business must ensure that there is no perceived difficulty experienced by consumers in regard of the purchasing process. To eliminate the perceived difficulty, the business must ensure that the environmentally-friendly apparels are widely available and easily accessible. The
information regarding the price of the product, where to get the product, and how to use the product should be communicated as clearly as possible to potential consumers.
5. Limitations and future research recommendations
As this study was conducted with a cross-sectional perspective, it could neither capture the model's long-term impact nor compare the condition between the current and the future. Easterby-Smith et al. (2003) mentioned that one of the limitations of a cross-sectional study is the inability to decipher the observed pattern of variables. Therefore, it is suggested for future research to conduct a longitudinal study to study the impact of the application of the model on the current attitude and purchase intention of consumers regarding environmentally-friendly apparel. A longitudinal study would also be able to trace the purchase intention of environmentally-friendly apparel at different points of time to check whether the observed intention is successfully translated to actual purchase behavior (Mei et al., 2012). Next, it is also suggested that future studies assess the actual purchase behavior for environmentally-friendly apparel as the scope of this study is only limited to the intention, not the actual behavior.
Acknowledgment
This study is financially supported by the Research and Innovation Centre of Universitas Multimedia Nusantara, Indonesia, under the internal research scheme.
Conflicts of interest
The author declares no conflict of interest. Citation information
Rizkalla, N., Lestari, E. D., Arinto, B., Purnamaningsih, P., & Sulistyarini, N. (2022). Uncovering the determinants of environmentally-friendly apparel purchase intention in Indonesia: Incorporating environmental concern and knowledge into the theory of planned behavior. Economics, Management andSustainability, 7(1), 43-58. doi:10.14254/jems.2022.7-1.4.
References
Ajzen, I. (1991). The theory of planned behavior. Organizational behavior and human decision processes, 50(2), 179-211. https://doi.org/10.1016/0749-5978(91)90020-T
Al Mamun, A., Fazal, S. A., Ahmad, G. B., Yaacob, M. R. B., & Mohamad, M. (2018). Willingness to pay for environmentally friendly products among low-income households along coastal peninsular Malaysia. Sustainability, 10(5), 1316. https://doi.org/10.3390/su10051316
Awaliyah, G. (2019, December 6). Masih banyak yang salah persepsi soal sustainable fashion. Republika.co.id, Retrieved from https://www.republika.co.id/berita/gaya-
hidup/trend/19/12/06/q22u6i414-masih-banyak-yang-salah-persepsi-soal-sustainable-fashion
Baker, E. W., Al-Gahtani, S. S., & Hubona, G. S. (2007). The effects of gender and age on new technology implementation in a developing country: Testing the theory of planned behavior (TPB). Information Technology & People, 352-375
https://doi.org/10.1108/09593840710839798
Bamberg, S. (2003). How does environmental concern influence specific environmentally related behaviors? A new answer to an old question. Journal of environmental psychology, 23(1), 2132. https://doi.org/10.1016/S0272-4944(02)00078-6
Bamberg, S., & Moser, G. (2007). Twenty years after Hines, Hungerford, and Tomera: A new metaanalysis of psycho-social determinants of pro-environmental behaviour.Journal of environmental psychology, 27(1), 14-25. https://doi.org/10.1016/j.jenvp.2006.12.002
Barber, N., Taylor, D. C., & Strick, S. (2010). Selective marketing to environmentally concerned wine consumers: a case for location, gender and age. Journal of consumer marketing, 134, 114-122 https://doi.org/10.1108/07363761011012967
Beall (2021, July 18). Why clothes are so hard to recycle. BBC.com. . Retrieved from https://www.bbc.com/future/article/20200710-why-clothes-are-so-hard-to-recycle
Borusiak, B., Szymkowiak, A., Horska, E., Raszka, N., & Zelichowska, E. (2020). Towards building sustainable consumption: A study of second-hand buying intentions. Sustainability, 12(3), 875. https://doi.org/l0.3390/su12030875
Chen, A., & Peng, N. (2012). Green hotel knowledge and tourists' staying behavior. Annals of Tourism Research, 39(4), 2211-2219. https://doi.org/10.1016/j.annals.2012.07.003
Chen, K., & Deng, T. (2016). Research on the green purchase intentions from the perspective of product knowledge. Sustainability, 8(9), 943. https://doi.org/10.3390/su8090943
Chen, M. F. (2007). Consumer attitudes and purchase intentions in relation to organic foods in Taiwan: Moderating effects of food-related personality traits. Food Quality and preference, 18(7), 1008-1021. https://doi.org/10.1016/j.foodqual.2007.04.004
Chen, S. C., & Hung, C. W. (2016). Elucidating the factors influencing the acceptance of green products: An extension of theory of planned behavior. Technological Forecasting and Social Change, 112, 155-163. https://doi.org/10.1016Zj.techfore.2016.08.022
Chen, M. F., & Tung, P. J. (2014). Developing an extended theory of planned behavior model to predict consumers' intention to visit green hotels. International journal of hospitality management, 36, 221-230. https://doi.org/10.1016/j.ijhm.2013.09.006
Connell, K. Y. H. (2010). Internal and external barriers to eco-conscious apparel acquisition. International Journal of Consumer Studies, 34(3), 279286. https://doi.org/10.1111/j.1470-6431.2010.00865.x
Conraud-Koellner, E., & Rivas-Tovar, L. A. (2009). Study of green behavior with a focus on Mexican individuals, iBusiness, 1(2), 124-131. https://doi.org/10.4236/ib.2009.12016
D'souza, C. and Taghian, M. (2005), "Green advertising effects on attitude and choice of advertising themes", Asia Pacific Journal of Marketing and Logistics, 17(3), 51-66. https://doi.org/10.4236/ib.2009.12016
Diamantopoulos, A., Schlegelmilch, B. B., Sinkovics, R. R., & Bohlen, G. M. (2003). Can socio-demographics still play a role in profiling green consumers? A review of the evidence and an empirical investigation. Journal of Business research, 56(6), 465-480. https://doi.org/10.1016/S0148-2963(01)00241-7
Eagly, A. H., & Chaiken, S. (2007). The advantages of an inclusive definition of attitude. Social cognition, 25(5), 582-602. https://doi.org/10.1521/soco.2007.25.5.582
Easterby-Smith, M., Thorpe, R., & Lowe, A. (2003). Management research: an introduction (2nd ed.). California: SAGE Publications.
Ellis, J. L., McCracken, V. A., & Skuza, N. (2012). Insights into willingness to pay for organic cotton apparel. Journal of Fashion Marketing and Management: An International Journal, 16(3), 290305. https://doi.org/10.1108/13612021211246053
Flamm, B. (2009). The impacts of environmental knowledge and attitudes on vehicle ownership and use. Transportation research part D: transport and environment, 14(4), 272-279. https://doi.org/10.1016/j.trd.2009.02.003
Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing theory and Practice, 19(2), 139-152. https://doi.org/10.2753/MTP1069-6679190202
Ham, M., Jeger, M., & Frajman Ivkovic, A. (2015). The role of subjective norms in forming the intention to purchase green food. Economic research-Ekonomska istrazivanja, 28(1), 738-748. https://doi.org/10.1080/1331677X.2015.1083875
Han, H., Hsu, L. T. J., & Sheu, C. (2010). Application of the theory of planned behavior to green hotel choice: Testing the effect of environmental friendly activities. Tourism management, 31(3), 325-334. https://doi.org/10.1016/j.tourman.2009.03.013
Hansen, T. (2008). Consumer values, the theory of planned behaviour and online grocery shopping. International Journal of Consumer Studies, 32(2), 128-137. https://doi.org/10.1111/j.1470-6431.2007.00655.x
Haron, S. A., Paim, L., & Yahaya, N. (2005). Towards sustainable consumption: an examination of environmental knowledge among Malaysians. International Journal of Consumer Studies, 29(5), 426-436. https://doi.org/10.1111/j.1470-6431.2005.00460.x
Hartmann, P., & Apaolaza-Ibáñez, V. (2012). Consumer attitude and purchase intention toward green energy brands: The roles of psychological benefits and environmental concern. Journal of business Research, 65(9), 1254-1263. https://doi.org/10.1016/j.jbusres.2011.11.001
Hsu, C. L., Chang, C. Y., & Yansritakul, C. (2017). Exploring purchase intention of green skincare products using the theory of planned behavior: Testing the moderating effects of country of origin and price sensitivity. Journal of Retailing and Consumer Services, 34, 145-152. https://doi.org/10.1016/j.jretconser.2016.10.006
Jaiswal, D., & Kant, R. (2018). Green purchasing behaviour: A conceptual framework and empirical investigation of Indian consumers. Journal of Retailing and Consumer Services, 41, 60-69. https://doi.org/10.1016/j.jretconser.2017.11.008
Jang, S.Y., Chung, J.Y. and Kim, Y.G. (2014), "Effects of environmentally friendly perceptions on customers' intentions to visit environmentally friendly restaurants: an extended theory of planned behavior". Asia Pacific Journal of Tourism Research, 20(6), pp. 599-618. https://doi.org/10.1080/10941665.2014.923923
Jaye, M. (2019, July 24).The new fashion for clean air. The Industry Fashion. Retrieved from https://www.theindustry.fashion/the-new-fashion-for-clean-air/
Jones, P., Comfort, D. and Hillier, D. (2011), "Sustainability in the global shop window", International Journal of Retail & Distribution Management, 39 (4), 256271. https://doi.org/10.1108/09590551111117536
Karyza, D (2021, May 16). Jakarta ranked world's most environmentally vulnerable city. The Jakarta Post, Retrieved from https://www.thejakartapost.com/news/2021/05/16/jakarta-ranked-worlds-most-environmentally-vulnerable-city.html
Kollmuss, A., & Agyeman, J. (2002). Mind the gap: why do people act environmentally and what are the barriers to pro-environmental behavior?. Environmental education research, 5(3), 239260. https://doi.org/10.1080/13504620220145401
Kostadinova, E. (2016). Sustainable consumer behavior: Literature overview. Economic Alternatives, 2, 224-234.
Kustiani, R. (2021, Agustus 19). Riset: 20 Persen Konsumen Indonesia Berupaya Mengurangi Sampah. Tempo. Retrieved from https://gaya.tempo.co/read/1496409/riset-20-persen-konsumen-indonesia-berupaya-mengurangi-sampah
Leahy, C. (2015, March 20). World Water Day: the cost of cotton in water-challenged India. The Guardian. Retrieved from https://www.theguardian.com/sustainable-
business/2015/mar/20/cost-cotton-water-challenged-india-world-water-day
Lee, K.H., Bonn, M.A. and Cho, M. (2015), "Consumer motives for purchasing organic coffee: The moderating effects of ethical concern and price sensitivity", International Journal of Contemporary Hospitality Management, 27 (6), 1157-1180. https://doi.org/10.1108/IJCHM-02-2014-0060
Liang, R. D. (2014). Enthusiastically consuming organic food: an analysis of the online organic food purchasing behaviors of consumers with different food-related lifestyles. Internet research: Electronic networking applications and policy, 24(5), 3-4. https://doi.org/10.1108/IntR-03-2013-0050
Lin, C. Y., & Syrgabayeva, D. (2016). Mechanism of environmental concern on intention to pay more for renewable energy: Application to a developing country. Asia Pacific Management Review, 21(3), 125-134. https://doi.org/10.1016/j.apmrv.2016.01.001
Liobikiené, G., Mandravickaité, J., & Bernatoniené, J. (2016). Theory of planned behavior approach to understand the green purchasing behavior in the EU: A cross-cultural study. Ecological Economics, 125, 38-46. https://doi.org/10.1016Zj.ecolecon.2016.02.008
Liu, M. T., Liu, Y., & Mo, Z. (2020). Moral norm is the key: An extension of the theory of planned behaviour (TPB) on Chinese consumers' green purchase intention. Asia Pacific Journal of Marketing and Logistics, 32(8), 1823-1841. https://doi.org/10.1108/APJML-05-2019-0285
< ss >
Maichum, K., Parichatnon, S., & Peng, K. C. (2016). Application of the extended theory of planned behavior model to investigate purchase intention of green products among Thai consumers. Sustainability, 8(10), 1077. https://doi.org/10.3390/su8101077
McFall-Johnsen, M. (2020, January, 31). These facts show how unsustainable the fashion industry is. World Economic Forum. Retrieved from
https: / / www.weforum.org/ agenda/2020/01/fashion-industry-carbon-unsustainable-environment-pollution/
McGorry, S. Y. (2000). Measurement in a cross-cultural environment: survey translation issues. Qualitative Market Research: An International Journal, 3(2), 74-81. https://doi.org/10.1108/13522750010322070
Mei, O. J., Ling, K. C., & Piew, T. H. (2012). The antecedents of green purchase intention among Malaysian consumers. Asian Social Science, 8(13), 248.
https://doi.org/10.5539/ass.v8n13p248
Moon, M. A., & Attiq, S. (2018). Compulsive buying behavior: Antecedents, consequences and prevalence in shopping mall consumers of an emerging economy. Pakistan Journal of Commerce and Social Sciences (PJCSS), 12(2), 548-570.
Moser, A. K. (2015). Thinking green, buying green? Drivers of pro-environmental purchasing behavior. Journal of consumer marketing, 32(3), 167-175. https://doi.org/10.1108/JCM-10-2014-1179
Mostafa, M.M. (2007), "A hierarchical analysis of the green consciousness of the Egyptian consumer", Psychology and Marketing, 24(5), 445-473. https://doi.org/10.1002/mar.20168
Mostafa, M. M. (2009). Shades of green: A psychographic segmentation of the green consumer in Kuwait using self-organizing maps. Expert systems with Applications, 36(8), 11030-11038. https://doi.org/10.1016Zj.eswa.2009.02.088
Nguyen, T. T. M., Phan, T. H., Nguyen, H. L., Dang, T. K. T., & Nguyen, N. D. (2019). Antecedents of purchase intention toward organic food in an asian emerging market: A study of urban vietnamese consumers. Sustainability, 11(17), 4773. https://doi.org/10.3390/su11174773
Octaviyani, P.R. (2021, July 18).Isu Lingkungan bukan Prioritas Sumber. Media Indonesia. Retrieved from Available: https://mediaindonesia.com/politik-dan-hukum/228904/isu-lingkungan-bukan-prioritas
Paul, J., Modi, A., & Patel, J. (2016). Predicting green product consumption using theory of planned behavior and reasoned action. Journal of retailing and consumer services, 29, 123-134. https://doi.org/10.1016/jjretconser.2015.11.006
Rizkalla, N., & Erhan, T. P. (2020). Sustainable Consumption Behaviour in The Context of Millennials in Indonesia-Can Environmental Concern, Self-efficacy, Guilt and Subjective Knowledge Make a Difference?. Management: Journal of Sustainable Business and Management Solutions in Emerging Economies, 25(3), 43-54. https://doi.org/10.7595/management.fon.2020.0001
Ro, C (2020, March 11). Can fashion ever be sustainable?. BBC.com. Retrieved from https://www.bbc.com/future/article/20200310-sustainable-fashion-how-to-buy-clothes-good-for-the-climate/
Rokicka, E. (2002). Attitudes toward natural environment: A study of local community dwellers. International Journal of Sociology, 32(3), 78-90.
https://doi.org/10.1080/15579336.2002.11770256
Ruangkanjanases, A., You, J. J., Chien, S. W., Ma, Y., Chen, S. C., & Chao, L. C. (2020). Elucidating the effect of antecedents on consumers' green purchase intention: an extension of the theory of planned behavior. Frontiers in Psychology, 11, 1433. https://doi.org/ 10.3389/fpsyg.2020.01433
Scott, L., & Vigar-Ellis, D. (2014). Consumer understanding, perceptions and behaviours with regard to environmentally friendly packaging in a developing nation. International journal of consumer studies, 38(6), 642-649. https://doi.org/10.1111/ijcs.12136
Shihab, S. (2019, October 2). "Post fast fashion: The future of fashion and the rise of resale," Jakarta Post.. Retrieved from https://www.thejakartapost.com/life/2019/10/02/post-fast-fashion-the-future-of-fashion-and-the-rise-of-resale.html
Smith, S., & Paladino, A. (2010). Eating clean and green? Investigating consumer motivations towards the purchase of organic food. Australasian Marketing Journal, 18(2), 93-104. https://doi.org/10.1016/j.ausmj.2010.01.001
Soyez, K. (2012), "How national cultural values affect pro-environmental consumer behavior", International Marketing Review, 29(6), 623-646.
https://doi.org/10.1108/02651331211277973
Tabachnick, B.G.; Fidell, L.S. Using Multivariate Statistics, 6th ed.; Pearson Education: Boston, MA, USA, 2013.
Tanner, C., & Wolfing Kast, S. (2003). Promoting sustainable consumption: Determinants of green purchases by Swiss consumers. Psychology & Marketing, 20(10), 883-902. https://doi.org/10.1002/mar.10101
Tarkiainen, A., & Sundqvist, S. (2005). Subjective norms, attitudes and intentions of Finnish consumers in buying organic food. British food journal, 107(11), 808-822. https://doi.org/10.1108/00070700510629760
Tenenhaus, M., Vinzi, V. E., Chatelin, Y. M., & Lauro, C. (2005). PLS path modeling. Computational statistics & data analysis, 48(1), 159-205. https://doi.org/10.1016/jxsda.2004.03.005
Teng, C. C., & Wang, Y. M. (2015). Decisional factors driving organic food consumption: Generation of consumer purchase intentions. British Food Journal, 117(3), 1066-1081. https://doi.org/10.1108/BFJ-12-2013-0361
Teng, Y. M., Wu, K. S., & Liu, H. H. (2015). Integrating altruism and the theory of planned behavior to predict patronage intention of a green hotel. Journal of Hospitality & Tourism Research, 39(3), 299-315. https://doi.org/10.1177/1096348012471383
Th0gersen, J. (2016). Consumer decision-making with regard to organic food products. In Traditional Food Production and Rural Sustainable Development (pp. 187-206). Routledge.
Vicente-Molina, M. A., Fernandez-Sainz, A., & Izagirre-Olaizola, J. (2013). Environmental knowledge and other variables affecting pro-environmental behaviour: comparison of university students from emerging and advanced countries. Journal of Cleaner Production, 61, 130-138. https://doi.org/10.1016/jjclepro.2013.05.015
Villemain, C. (2019, March 25). UN launches drive to highlight environmental cost of staying fashionable. UN News, March 25, 2019 Retrieved from https://news.un.org/en/story/2019/03/1035161
Varah, F., Mahongnao, M., Pani, B., & Khamrang, S. (2021). Exploring young consumers' intention toward green products: applying an extended theory of planned behavior. Environment, Development and Sustainability,23(6), 9181-9195. https://doi.org/10.1007/s10668-020-01018-z
Wetzels, M., Odekerken-Schroder, G., & Van Oppen, C. (2009). Using PLS path modeling for assessing hierarchical construct models: Guidelines and empirical illustration. MIS quarterly, 177-195. https://doi.org/10.2307/20650284
Wu, H.C. and Cheng, C.C. (2019), "What drives green persistence intentions?", Asia Pacific Journal of Marketing and Logistics, 31(1), 157-183. https://doi.org/10.1108/APJML-01-2018-0013
Wu, S. I., & Chen, J. Y. (2014). A model of green consumption behavior constructed by the theory of planned behavior. International Journal of Marketing Studies, 6(5), 119. https://doi.org/10.5539/ijms.v6n5p119
Yadav, R., & Pathak, G. S. (2016). Intention to purchase organic food among young consumers: Evidences from a developing nation. Appetite, 96, 122-128.
https://doi.org/10.1016Zj.appet.2015.09.017
Yadav, R., & Pathak, G. S. (2017). Determinants of consumers' green purchase behavior in a developing nation: Applying and extending the theory of planned behavior. Ecological economics, 134, 114-122. https://doi.org/10.1016/j.ecolecon.2016.12.019
Yamane, T., & Kaneko, S. (2021). Is the younger generation a driving force toward achieving the sustainable development goals? Survey experiments. Journal of Cleaner Production, 292, 125932. https://doi.org/10.1016/j.jclepro.2021.125932
Zhang, L., Fan, Y., Zhang, W., & Zhang, S. (2019). Extending the theory of planned behavior to explain the effects of cognitive factors across different kinds of green products. Sustainability, 11(15), 4222. https: //doi.org/10.3390/su11154222
Zhou, Y., Th0gersen, J., Ruan, Y., & Huang, G. (2013). The moderating role of human values in planned behavior: the case of Chinese consumers' intention to buy organic food. Journal of consumer marketing, 30(4), 335-344. https://doi.org/10.1108/JCM-02-2013-0482
© 2016-2022, Economics, Management and Sustainability. All rights reserved.
This open access article is distributed under a Creative Commons Attribution (CC-BY) 4.0 license.
You are free to:
Share - copy and redistribute the material in any medium or format Adapt - remix, transform, and build upon the material for any purpose, even commercially.
The licensor cannot revoke these freedoms as long as you follow the license terms. Under the following terms:
Attribution - You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. No additional restrictions
You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Economics, Management and Sustainability (ISSN: 2520-6303) is published by Scientific Publishing House "CSR"; Poland, EU and Scientific Publishing House "SciView", Poland
Publishing with JEMS ensures:
• Immediate, universal access to your article on publication
• High visibility and discoverability via the JEMS website
• Rapid publication
• Guaranteed legacy preservation of your article
• Discounts and waivers for authors in developing regions
Submit your manuscript to a JEMS at http://jems.sciview.net or submit.jems@sciview.net
