Sign up for our newsletter, to get updates regarding the Call for Paper, Papers & Research.
The Determinants of Perceived Behavior of Face Mask Usage: A Mediating Effect of Culture
- Syeliya Md Zaini
- Mira Susanti Amirrudin
- Nurul Hidayana Mohd Noor
- Corina Joseph
- Susan Pudin
- 746-759
- Aug 30, 2024
- Public Health
The Determinants of Perceived Behavior of Face Mask Usage: A Mediating Effect of Culture
Syeliya Md Zaini (Dr.)1*, Mira Susanti Amirrudin (Dr.)2, Nurul Hidayana Mohd Noor (Dr.)3, Corina Joseph (Prof. Dr.)4, Susan Pudin (Dr.)5
1,2Faculty of Accountancy, Universiti Teknologi MARA (UiTM), 42300 Bandar Puncak Alam, Selangor, Malaysia
3Faculty of Administrative Science & Policy Studies, Universiti Teknologi MARA (UiTM) Seremban, 70300 Seremban, Negeri Sembilan, Malaysia
4Faculty of Accountancy, Universiti Teknologi MARA, Cawangan Sarawak, Sarawak
5Ketua Penolong Setiausaha Kanan Bahagian Kerjasama Serantau, Pejabat Timbalan Setiausaha (Pentadbiran), Tingkat 25, Blok A, Pusat Pentadbiran Negeri Sabah, Jalan Sulaman, Teluk Likas, 88400 Kota Kinabalu, Sabah, Malaysia
*Corresponding Author
DOI: https://dx.doi.org/10.47772/IJRISS.2024.808059
Received: 15 August 2024; Accepted: 22 August 2024; Published: 30 August 2024
ABSTRACT
Purpose: This study examined the psychological determinants affecting perceived behavior in Malaysians when using face masks. An integrated model composed of the Theory of Planned Behavior (TPB) and Value-Belief Norm (VBN) was employed alongside cultural influence.
Design/methodology/approach: The quantitative survey method and convenience sampling collected data from the Malaysian public. By utilizing a questionnaire survey approach, 404 respondents completed an online survey. Structural equation modeling was used to analyse the data.
Findings: The results revealed that attitudes, environmental consciousness, and social norms contribute to the respondents’ perceived behavior of face mask usage. The extended variable, which is culture, improves the relationship between attitudes, environmental consciousness, social norms, and perceived behavior.
Research, Practical & Social implications: Based on this study’s findings, insightful consequences for environmental collaboration between environmental groups and society and suggestions for future research are presented.
Originality/value: The study is among the pioneer study that looks at macro and meso perspectives that examines the effect of culture as mediator that could affect the individual pro environmental behavior.
Keywords: attitude; environmental consciousness; social norms; culture; perceived behaviour
INTRODUCTION
The prevalent use of face masks during COVID-19 has resulted in the rise of non-biodegradable waste. According to Selvarajan et al. (2021), surgical waste such as face masks should have been considered further as they significantly contribute to the environment as hazardous or radioactive. Additionally, improper chemical waste management contributes to global warming as the carbon dioxide (CO₂) gas released causes a massive impact on the atmosphere.
The dramatic rise in the production of surgical face masks during the pandemic emerged due to the government imposing mandatory rules on wearing face masks during COVID-19 and hygienic aspects. On the other hand, an alternative to surgical face masks is reusable or washable face masks. This type of face mask was in high demand during the peak of COVID-19. Nevertheless, this face mask has gained low consumption, particularly in the current situation. Researchers in engineering and health suggest that a biodegradable face mask is one of the modern sustainable alternatives to reduce the usage of masks that contribute to plastic waste chemical and non-biodegradable components.
LITERATURE REVIEW AND THEORETICAL FRAMEWORK
Theoretical Background
The theory of planned behaviour (TPB) posits that behavioral intention mediates the relationship between attitudes, subjective norms, and perceived behavioral control, ultimately influencing behavior (Ajzen, 1991; Jain et al., 2020; Lu et al., 2011). The efficiency of TPB has been demonstrated in diverse contexts such as health-related behaviors (Hamilton et al., 2020), tax evasion (Fadhilah, 2019), online shopping behavior (Sutisna & Handra, 2022), continuous learning (Liu et al., 2020), COVID-19 prevention (Yastica et al., 2020), sports spectator behavior (Lu et al., 2011), and community-based programs for promoting traffic behaviors and safe road crossing behaviors in youth (Mostafavi et al., 2021). The theory’s broad framework, which includes attitudes, subjective norms, and perceived behavioral control, has made it an invaluable resource for scholars and professionals across a range of disciplines. It provides an understanding of the variables that affect people’s behavior and aids in the development of effective interventions and strategies.
The Value-Belief-Norm (VBN) theory is a widely used approach in social psychology to examine the influence of values and attitudes on individual environmental behaviors. According to the theory, an individual’s values shape their attitudes and beliefs about the environment, which, in turn, influence their behavioral intentions and, ultimately, their actions toward environmental conservation and sustainability. The theory proposes that individuals with strong environmental values are more likely to develop positive attitudes toward the environment and demonstrate a deep concern for its well-being. As a result, they are more likely to engage in pro-environmental behaviors such as recycling, conserving energy and water, reducing waste (Kuger et al., 2016), and supporting environmentally friendly policies.
Hypotheses Development
Attitude and Perceived Behavior of Face Mask Usage
The TPB theoretical framework can be used to analyze and forecast facemask usage behavior. The TPB postulates that behavioral intention mediates the relationship between these elements and behavior. In this context, behavioral intention is impacted by attitudes, subjective standards, and perceived behavioral control (Ajzen, 1991). Guo et al. (2023) further stressed that TPB examines how behavioral intentions are influenced by attitudes, subjective norms, and perceived behavioral control. Lao et al. (2021) demonstrated that self-efficacy and risk perception predicted behavioral intention in facemask usage during the COVID-19 pandemic. Additionally, intention and facemask use were mediated by planning and action control. Furthermore, by utilizing TPB, Duan et al. (2021) identified motivating components, such as attitude, subjective norm, and perceived behavioral control. Based on the discussion above, the following hypothesis has been suggested.
H1: Attitude significantly influences the perceived behavior of face mask usage.
Environmental Consciousness and Perceived Behavior of Face Mask Usage
Environmental consciousness and perceived behavior of face mask usage are important topics, especially in public health and environmental sustainability. Face masks have become a critical preventive measure during the COVID-19 pandemic. Environmental consciousness, which encompasses individuals’ awareness and concern for the environment, can significantly influence their behavior, including the consistent and appropriate use of face masks. According to Sim et al. (2014), environmental factors, such as perceived pressure from family members, doctors, and schools, can contribute to improving compliance with mask-wearing. Additionally, TPB emphasizes the role of perceived behavioral control, which is influenced by environmental factors, in shaping individuals’ intentions and behaviors (Mostafavi et al., 2021; Oldmeadow, 2021; Yastica et al., 2020). Therefore, it is plausible to hypothesize that environmental consciousness significantly influences the perceived behavior of face mask usage, as individuals’ concern for the environment may impact their attitudes, subjective norms, and perceived behavioral control, ultimately influencing their intentions and actions related to face mask usage. The following hypothesis has been posited based on the discussion above.
H2: Environmental consciousness significantly influences the perceived behavior of face mask usage.
Social Norms Toward and Perceived Behavior of Face Mask Usage
In the context of the COVID-19 pandemic, social norms are especially important in shaping how people interpret the use of face masks. The TPB emphasizes the influence of subjective norms, which reflect an individual’s perception of the social pressure to engage in a particular behavior, on behavioral intentions and actions (Fauk et al., 2022; Liang et al., 2022; Villani et al., 2022). Venkatesh and Davis (2000) found that social influence processes, including subjective norms, significantly influenced user acceptance. Moreover, Villani et al. (2022) highlighted the internalization of social norms regarding wearing masks and maintaining social distancing imposed by the pandemic. This internalization has led to judging mask-wearers as more responsible and socially compliant.. Furthermore, Fauk et al. (2022) identified subjective norms, including negative social pressure and concerns of social rejection, as barriers to community adherence to COVID-19 prevention guidelines. Liang et al. (2022) examined the influence of social attitudes and subjective norms on the intention to purchase face masks. The study discovered that social attitudes and subjective norms significantly influenced the intention to purchase face masks. Moreover, social norms have been shown to affect individuals’ risk perception and preventive behaviors during the pandemic (Duong et al., 2021). The asymmetrical normative effect of perceived injunctive norms positively predicted intentions to wear face masks (Cheng et al., 2021). Additionally, the internalized social norm of wearing a mask suppresses automatic mistrust caused by not seeing the whole face (Oldmeadow, 2021). Therefore, the following hypothesis has been suggested.
H3: Social norms significantly influence the perceived behavior of face mask usage.
The Mediation Role of Culture
The role of culture in face mask usage during the COVID-19 pandemic has been a subject of significant interest and study. The uptake of face masks has been found to vary across different cultural contexts, reflecting the influence of cultural norms and practices on individuals’ behaviors. For example, Barceló and Sheen (2020) highlighted that in nations where face masks are not ingrained in the culture, face mask use is still far from universal. This finding suggests that cultural norms and historical practices are pivotal in shaping individuals’ attitudes and behaviors related to face mask usage. Furthermore, Siu’s (2016) study emphasized the changing social connotations of face masks in Hong Kong following the severe acute respiratory syndrome (SARS) outbreak, highlighting the masks’ evolving cultural relevance and implications for infection management in the post-SARS era. This finding underscores the dynamic nature of cultural norms and their impact on public health behaviors. cultural and regional factors in understanding and promoting face mask usage. Phau et al. (2022) also shed light on the desirability of “upcycled” luxury face masks, highlighting the intersection of culture, fashion, and public health behaviors. This finding underscores the multifaceted nature of cultural influences on face mask usage, encompassing elements of desirability, fashion, and consumer behavior. Thus, this study developed the following hypotheses:
H4: Culture mediates the influence of (a) attitude, (b) environmental consciousness, and (c) social norms, toward the perceived behavior of face mask usage.
Figure 1 exhibits the study’s conceptual model, which was formed based on the research hypotheses.
Figure 1. Conceptual model (Source: Authors’ illustration)
METHODS
This study utilized a cross-sectional survey design by applying a quantitative approach. The study’s population is the Malaysian public from all states in Malaysia. Based on the Monte Carlo study, the minimum sample size required to reduce bias in all structural equation modeling estimates is 200 (Loehlin, 1998). Thus, the study used a combination of cluster random and convenience sampling techniques, resulting in a sample size of 500 members of the Malaysian public. Research data was collected using a modified questionnaire with items adapted from previous studies such as Irfan et al. (2021), Ates (2020), and Al Naam et al. (2021) (refer to Table 1). A Likert scale from 1 (strongly disagree) to 5 (strongly agree) was utilized to measure each item in the questionnaire. In addition, Cronbach’s alpha value was determined for all variables. Cronbach’s alpha is explained as excellent when the value is more than 0.9, followed by good (0.8 ≤ α < 0.9), acceptable (0.7 ≤ α < 0.8), questionable (0.6 ≤ α < 0.7), poor (0.5 ≤ α < 0.6), and unacceptable(α < 0.5) (Montshiwa & Moroke, 2014). The reliability requirement for the variables was good and acceptable, and their respective values are depicted in Table 1.
Table 1. Measurement of the Variable
Variable | Cronbach’s Alpha |
Perceived Behavior of Face Mask Usage | 0.803 |
Attitude | 0.934 |
Environmental Consciousness | 0.713 |
Social Norms | 0.917 |
Culture | 0.904 |
Source: Authors’ work
The data analysis technique used in this research was structural equation modeling (SEM). The goodness-of-fit test is used for path analysis, which uses the following measurements (Hair et al., 2017):
- Goodness-of-Fit Index (GFI) (≥ 0.90)
- Tucker-Lewis Index (TLI) (≥ 0.90)
- Comparative Fit Index (CFI) (≥ 0.90)
- Normed Fit Index (NFI) (≥ 0.90)
- Root Mean Square Error of Approximation (RMSEA) (< 0.08)
- Chi-Square/degree of freedom ratio (χ2/df) (< 5.0)
This study further assessed convergent and discriminant validity. Convergent validity indicates whether a test designed to assess a particular construct correlates with other tests that assess the same construct. According to Hair et al. (2017), convergent validity is established when composite reliability (CR) and average variance extracted (AVE) are more than 0.70 and 0.50, respectively.
Subsequently, the Fornell-Larcker (1981) criterion and cross-loading examination were referred to in determining the discriminant validity. Discriminant validity is established when the square root of AVE is greater than the correlation. The correlation value between the constructs is more than 0.50 and below 0.85 (Fornell & Larcker, 1981). Subsequently, structural model analysis was used to test the mediation effect in the final step.
RESULTS
Demographic Profile
Although data was collected from 500 participants, the final valid responses were only 404. As shown in Table 2, 287 females (71.0%) and 117 males (29.0%) participated in the survey. Regarding age group, most respondents were 21-30 years old (n = 132, 32.7%). Most participants were married (n = 222, 55.0%), followed by not married (n = 169, 41.8%), divorced (n = 8, 2.0%), and widowed (n = 5, 1.2%). In terms of education level, most of the participants (42.8%) possessed a bachelor’s degree qualification (n = 173).
Table 2. Demographic Profile
Profile | Frequency (n) | Percentage (%) | |
Gender | Male | 117 | 29.0 |
Female | 287 | 71.0 | |
Age | 18-20 | 19 | 4.7 |
21-30 | 132 | 32.7 | |
31-40 | 95 | 23.5 | |
41-50 | 113 | 28.0 | |
51-60 | 36 | 8.9 | |
61 and above | 9 | 2.2 | |
Status | Not married | 169 | 41.8 |
Married | 222 | 55.0 | |
Widowed | 5 | 1.2 | |
Divorced | 8 | 2.0 | |
Highest Academic Qualifications | Secondary level | 44 | 10.9 |
Diploma level | 57 | 14.1 | |
Bachelor’s degree level | 173 | 42.8 | |
Master’s degree level | 79 | 19.6 | |
PhD or DBA level | 45 | 11.1 | |
Others | 6 | 1.5 |
Source: Authors’ work
Measurement Model
The confirmatory factor analysis (CFA) outcome revealed that the model met the recommended fit requirements (Chisq/df = 2.100, CFI = 0.93, GFI = 0.95, TLI = 0.96, RMSEA = 0.014). Convergent validity is tested based on the average variance extracted (AVE) and composite reliability (CR). The values of AVE must be greater than 0.50, and the value of CR must be greater than 0.70 (Fornell & Larcker, 1981). The results indicate that all the values meet the requirements (Refer to Table 3).
Table 3. Measurement of Variables
Variable | Items | Item Loadings | AVE | CR |
Perceived Behavior of Face Mask Usage | PB1 | 0.719 | 0.819 | 0.770 |
PB2 | 0.767 | |||
PB3 | 0.825 | |||
PB4 | 0.803 | |||
PB5 | 0.819 | |||
PB6 | 0.700 | |||
PB7 | 0.809 | |||
PB8 | 0.821 | |||
PB9 | 0.711 | |||
PB10 | 0.700 | |||
PB11 | 0.800 | |||
Attitude | A1 | 0.820 | 0.822 | 0.785 |
A2 | 0.813 | |||
A3 | 0.802 | |||
A4 | 0.810 | |||
A5 | 0.805 | |||
A6 | 0.706 | |||
A7 | 0.708 | |||
A8 | 0.734 | |||
Environmental Consciousness | EC1 | 0.734 | 0.840 | 0.745 |
EC2 | 0.705 | |||
EC3 | 0.727 | |||
EC4 | 0.706 | |||
EC5 | 0.712 | |||
EC6 | 0.738 | |||
EC7 | 0.735 | |||
EC8 | 0.740 | |||
EC9 | 0.750 | |||
EC10 | 0.752 | |||
Social Norms | SN1 | 0.699 | 0.816 | 0.789 |
SN2 | 0.687 | |||
SN3 | 0.702 | |||
SN4 | 0.718 | |||
SN5 | 0.733 | |||
SN6 | 0.746 | |||
Culture | C1 | 0.601 | 0.836 | 0.800 |
C2 | 0.655 | |||
C3 | 0.692 | |||
C4 | 0.637 | |||
C5 | 0.699 | |||
C6 | 0.684 | |||
C7 | 0.603 | |||
C8 | 0.679 | |||
C9 | 0.726 | |||
C10 | 0.700 |
Source: Authors’ work
The Fornell-Larcker (1981) criterion and cross-loading examination were referred to in determining the discriminant validity. Discriminant validity is established when the square root of AVE is greater than the correlation. The correlation value between the constructs must be more than 0.50 and below 0.85 (Fornell & Larcker, 1981). The discriminant validity assessment ensures that the constructs have the most robust relationships with their indicators (Hair et al., 2017). As demonstrated in Table 4, this study has met the prescribed criteria. Thus, the variables are unrelated to each other.
Table 4. Discrimination Validity Assessment
No. | 1 | 2 | 3 | 4 | 5 | |
1 | Perceived Behavior of Face Mask Usage | 0.905 | ||||
2 | Attitude | 0.647 | 0.907 | |||
3 | Environmental Consciousness | 0.576 | 0.714 | 0.917 | ||
4 | Social Norms | 0.693 | 0.653 | 0.700 | 0.903 | |
5 | Culture | 0.585 | 0.611 | 0.689 | 0.756 | 0.914 |
Note: Values in the diagonal show the square root of AVE
Source: Authors’ work
Structural Model
Table 5. Direct, Indirect, and Total Effects in the Structural Model
Standardized Direct Effects | Std. Estimate β | ||
Perceived Behavior of Face Mask Usage | Attitude | 0.339*** | |
Perceived Behavior of Face Mask Usage | Environmental Consciousness | 0.276*** | |
Perceived Behavior of Face Mask Usage | Social Norms | 0.311*** | |
Perceived Behavior of Face Mask Usage | Culture | 0.329*** | |
Culture | Attitude | 0.348*** | |
Culture | Environmental Consciousness | 0.271*** | |
Culture | Social Norms | 0.390*** | |
Standardized Indirect Effects (Mediation Effect) | |||
Perceived Behavior of Face Mask Usage | Attitude | 0.114*** | |
Perceived Behavior of Face Mask Usage | Environmental Consciousness | 0.089*** | |
Perceived Behavior of Face Mask Usage | Social Norms | 0.128*** | |
Standardized Total Effects (Direct Effect + Indirect Effect) | |||
Perceived Behavior of Face Mask Usage | Attitude | 0.453*** | |
Perceived Behavior of Face Mask Usage | Environmental Consciousness | 0.365*** | |
Perceived Behavior of Face Mask Usage | Social Norms | 0.439*** |
Source: Authors’ work
As shown in Table 5, it was discovered that attitude (β = 0.339, p < 0.001), environmental consciousness (β = 0.276, p < 0.001), and social norms (β = 0.311, p < 0.001) have a significant influence on perceived behavior of face mask usage. Thus, H1, H2, and H3 were accepted. Thus, perceived behavior of face mask usage increases per unit and is associated with attitude, environmental consciousness, and social norms when other predictors are constant. Proper face masks disposal is closely related to a person’s attitude towards the environment. Attitude strongly influence pro-environmental behavior and it is important to assess attitudes in the behavioral research (Duon et al., 2021). Environmental attitude plays an important role in influencing and motivating human behavior towards the environment (Guo et al., 2023). The psychological factor that could influencing individual attitudes are personal values, knowledge, close friends, family and social groups. In addition, proper face masks disposal also can be maintained through civic awareness and environmental consciousness. Through awareness, the community will be made aware to keep the environment clean (Mostafavi et al., 2021). Environmental consciousness can be promoted through awareness campaign to make people aware of the importance of protecting the environment through proper face masks disposal (Yastica et al., 2020). Finally, a person environmentally acts by fulfilling normative expectations and past experiences. For instance, if a person sees others doing face masks recycling activities, they will be more likely to engage in the behavior as well (Fauk et al., 2022).
The results also confirmed that culture significantly influences the perceived behavior of face mask usage (β = 0.329, p < 0.001). This result proved that effectiveness of the face masks disposal and recycling process is occurs due partly to the attitude of the Malaysian public. In Malaysia, the culture is favors on the community more than the individual. Therefore, the Malaysian attitude is more inclined to maintain the harmony in community life and help each other so that they can live in a better atmosphere. Therefore, for the Malaysian, it is important to take care of the environment because it is a common right in society. Subsequently, the findings also confirmed that attitude (β = 0.348, p < 0.001), environmental consciousness (β = 0.271, p < 0.001), and social norms (β = 0.390, p < 0.001) have a significant influence on culture.
The mediation effect was also tested. As shown in Table 5, the results confirm that the relationship between attitude (β = 0.114, p < 0.001), environmental consciousness (β = 0.089, p < 0.001), social norms (β = 0.128, p < 0.001), and perceived behavior of face mask usage are partially mediated by culture. Hence, H4a, H4b, and H4c were accepted. The total effects were also calculated for mediating paths, adding indirect and direct effects (Hayes & Preacher, 2013). These results have proved that in order to lend the influence of attitude, environmental consciousness, and social norms on perceived behavior of face masks usage, the culture must exist to acts as a catalyst for the enablers. The recycling process in Malaysian society is not only done by the responsible body, but it is needs to done by all levels of society. In order to maintain the environmental sustainability, we must consider it as a shared responsibility for all Malaysians to protect the environment from any pollutions. Figure 2 summarizes the final model of the research.
Figure 2. Final Model
DISCUSSION
Based on the results shown in Table 5, H1, H2, and H3 are accepted. The independent variables, namely attitude, environmental consciousness, and social norms, significantly contribute to the respondents’ perceived behavior of using face masks as the dependent variable. Generally, respondents with a positive attitude toward wearing face masks, awareness of waste generation and management, ability to choose the type of masks used, and adherence to social norms are likely to understand the broader impacts of wearing face masks as effective precautionary measures for well-being, health, and curbing contagious diseases.
The results also showed that culture has a significant influence on perceived behavior of face mask usage, as shown in Table 5. The results confirmed that the relationship between attitude, environmental consciousness, social norms, and perceived behavior of face mask usage is partially mediated by culture. Hence, H4a, H4b, and H4c are accepted. Culture as the mediating factor helps explain how the independent variables affect the respondents’ perceived behavior of face mask usage.
The questions related to “culture” revolved around the respondents’ beliefs and values influenced by their cultural upbringing. Although the extensive use of face masks is relatively new in Malaysia, the general collectivistic Asian cultural upbringing could have likely influenced the high adherence to social standards. In this research, questions related to civic capital were questioned as part of the culture. The result concurs with the research findings by Durante et al. (2020) on civic capital, social distancing, and disease control in Italy. According to the study, reactions to the social distancing measures implemented by the government were greater in communities with high levels of civic capital as more civic-minded people adhered more to the health rules.
The relationship between attitude, environmental consciousness, social norms, and perceived behavior of face mask usage has several research implications. Firstly, understanding the relationship between attitudes, environmental consciousness, social norms, and face mask usage could assist health authorities in designing more efficient public health policies and interventions. Prioritizing the environmental benefits of face mask usage or utilizing social customs to promote compliance could steer to higher adherence to mask requirements during public health emergencies. Secondly, regarding behavioral change strategies, this finding suggests that interventions to increase face mask usage should emphasize changing attitudes toward mask-wearing. Emphasizing the societal responsibility of wearing masks could influence and promote effective behavior rather than simply accentuating health benefits. Thirdly, in terms of incorporating behavioral insights for future crises, this finding suggests the importance of considering psychological and social aspects when addressing public health emergencies. This finding indicates that future crisis management strategies should include attitudes, environmental concerns, and social norms.
The influence of culture on the perceived behavior of face mask usage has several practical implications. Firstly, regarding customized public health communication, acknowledging cultural influences on mask-wearing behavior is crucial for planning culturally sensitive public health initiatives. Approaches must consider cultural customs, values, beliefs, and procedures to efficiently convey the importance of mask usage. Secondly, in terms of adherence to public health mandates, recognizing the influence of culture assists the higher authorities in anticipating and addressing potential opposition related to mask-wearing requirements. Subsequently, collective responsibility could be promoted. Thirdly, mutual cultural understanding, which fosters trust between authorities and communities, could be enhanced. Engaging community leaders from diverse cultural backgrounds could assist in disseminating accurate information and promoting mask-wearing as a cultural norm within specific groups. The relationship between attitude, environmental consciousness, social norms, and perceived behavior of face mask usage, which is partially mediated by environmental value, has several implications. Smart partnerships with environmental groups or initiatives focusing on sustainability could improve communication regarding the benefits of wearing face masks, influencing social norms within communities.
Society could adjust their actions to associate with social interaction and communicative customs in public. As a result of considering the advantages and disadvantages of face masks, people could ascertain that the benefits of wearing masks would be mutual as a mask could shield the individual wearing it. Hence this could be considered as a cultural norm if obeyed by everyone, benefits the whole people obviously (Esmaeilzadeh, 2022).
National cultures form society’s actions (Triands, 1989; Hofstede, 2001) and have been proven to influence society’s happiness during the pandemic. As cited by Nair et. al. (2022), culture is influencing people to comply fully with prevailing social norms. Culture has been extensively researched and one the most prominent framework is Hofstede’s cultural diversity model (Nair et. al., 2022). Hofstede theorized cultural diversity developing from differences in values classified beside specific dimensions (Hofstede, 1988). The earliest four dimensions of diversity within cultures were acknowledged as individualism versus collectivism, power distance, uncertainty avoidance, and masculinity versus femininity (Hofstede, 1988). This paper uses the Individualism versus collectivism dimension to explain how cultures mediate the relationship between predictor variables and the face mask wearing during the pandemic in Malaysia. Individualism versus collectivism apprehends the separation of independence versus interdependence, or devotion to oneself compared to that with regard to the group (Triands, 1995), signifies to which extent people associate loosely or strongly with united social groups (Triands, 1995). In regards to past studies, American has been regarded highly as the individualistic i.e. did not fully comply with the requirement to wear face mask (for example, Hahn & Bhaduri, 2021). According to MIT Sloan Assistant Professor Jackson Lu, people in these cultures might be more inclined to say that they are free to choose not to wear a mask, or in the case of some anti-mask protesters: “If I’m going to get COVID and die from it, then so be it.” (Somers, 2021). Lu also added ‘“To curb the pandemic, it is critical that people prioritize the collective welfare over personal convenience.” (Somers, 2021).
India, China (Hahn & Bhaduri, 2021), South Korea and Singapore (Nair et al., 2022) are regarded as collectivism countries in encouraging the use of face mask during the pandemic. There seems to be higher altruism and various useful regulation execution in a collectivistic dynamic, consequently resulting the successful implementation of COVID-19 policies such as mask wearing easier and homogeneously adopted across a society (Nair et. al., 2022). In line with other countries in the Asia region, Malaysia is also regarded as the collectivism country. According to Lu in his study “In collectivistic cultures, people consider wearing masks not only a responsibility or duty, but also, a symbol of solidarity — that we’re standing together and fighting this pandemic together,” (Dizikes, 2021). Being a multiracial country rich in culture and tradition, Malaysia is unique in many ways. One of the uniqueness is the festive celebrations such as Hari Raya, Chinese New Year, Deepavali, Christmas, and others. During the festive seasons, there are a lots of family gatherings. During the festivity, the Ministry of Health keeps reminding the people to wear face mask to prevent the widespread of pandemic (Health Pulse, 2024). This kind reminder definitely promotes the cultural behavior to wear face mask among the people in Malaysia. Alan Chong, Associate Professor at the S. Rajaratnam School of International Studies gave a statement on the Asean people “People here are still collectivist in orientation of thought, meaning even if a certain government is despised, they will still listen to instructions especially if they are reasonable,”. He also added ‘Ethnic Malay cultures in Malaysia and Indonesia promote banding together against common threats’ (Jennings, 2020).
CONCLUSION
This paper aims to determine the mediating effect of culture on the relationship between attitude, environmental consciousness, social norms, and perceived behavior of face mask usage. The implications are provided for 1) the relationship between attitude, environmental consciousness, social norms, and perceived behavior of face mask usage; 2) the influence of culture on the perceived behavior of face mask usage; 3) the influence of culture on attitude, environmental consciousness, and social norms, and 4) the relationship between attitude, environmental consciousness, social norms, and perceived behavior of face mask usage mediated by culture. Additionally, the scope of this study does not cover the sociodemographic of the respondents which specifically define a certain respondent’s demographic. According to Davidson and Freudenburg (1996), gender differences in pro-environmental behaviour are not universal because of socialisation patterns.
This paper is not without any limitations. Firstly, the findings may not be universally applicable across different cultural settings. Cultural differences in the perception of environmental values, as well as the influence of attitudes, consciousness, and social norms, might limit the generalizability of the study’s findings. Secondly, the study may not reflect exact contextual factors that could influence the relationship between variables. Other social factors not considered in the study’s design might affect the understanding of the findings. Thirdly, the study might potentially overlook other possible mediators or moderators that could affect the relationship between attitudes, environmental consciousness, social norms, and perceived behavior of face mask usage. Fourth, this study cannot generalized in terms of demographic factor due to the main aim of this study to examine culture as the mediating effect between the predicting variables. These limitations offer several opportunities for future research. Future research could conduct cross-cultural studies to explore how the relationships between demographic, attitudes, environmental consciousness, social norms, environmental values, and behavior differ within diverse cultural settings. Subsequently, future research may consider contextual factors that might influence the relationships under study by analyzing how regional or social contexts affect the relationship between attitudes, environmental consciousness, social norms, environmental values, and behavior. Lastly, future research could employ qualitative research methods, such as interviews or focus groups, to obtain an in-depth understanding of respondents’ views and cultural shades related to attitudes, environmental consciousness, social norms, environmental values, and behavior.
ACKNOWLEDGEMENT
We sincerely appreciate the funding support provided by the Ministry of Higher Education (MOHE) under the Fundamental Research Grant Scheme (FRGS) (KPT: FRGS/1/2022/SS10/UITM/02/37). We deeply thank MOHE for their invaluable contribution to our project. This study has received ethical approval from the Universiti Teknologi MARA, Research Committee, Ref: REC/04/2024 (ST/MR/68).
REFERENCES
- Al Naam, Y. A., Elsafi, S. H., Alkharraz, Z. S., Alfahad, O. A., Al-Jubran, K. M., & Al Zahrani, E. M. (2021). Community practice of using face masks for the prevention of COVID-19 in Saudi Arabia. PLoS One, 16(2), e0247313. https://doi.org/10.1371/journal.pone.0247313
- Aral, Ö. H., & López-Sintas, J. (2020). A comprehensive model to explain Europeans’ environmental behaviors. Sustainability, 12(10), 4307. https://doi.org/10.3390/su12104307
- Ateş, H. (2020). Merging theory of planned behaviour and value identity personal norm model to explain pro-environmental behaviours. Sustainable Production and Consumption, 24, 169-180. https://doi.org/10.1016/j.spc.2020.07.006
- Ajzen, I. (1991). The theory of planned behaviour. Organizational Behaviour and Human Decision Processes, 50(2), 179-211. https://doi.org/10.1016/0749-5978(91)90020-t
- Barceló, J., & Sheen, G. C. H. (2020). Voluntary adoption of social welfare-enhancing behaviour: Mask-wearing in Spain during the COVID-19 outbreak. PloS one, 15(12), e0242764. https://doi.org/10.1371/journal.pone.0242764
- Cheng, Y., Liu, R., & Foerster, T. (2021). Predicting intentions to practice covid-19 preventative behaviours in the united states: A test of the risk perception attitude framework and the theory of normative social behaviour. Journal of Health Psychology, 27(12), 2744-2762. https://doi.org/10.1177/13591053211057382
- Davidson, D. J., & Freudenburg, W. R. (1996). Gender and environmental risk concerns: A review and analysis of available research. Environment and behavior, 28(3), 302-339.
- Duan, Y., Lippke, S., Liang, W., Shang, B., Petra, W., Baker, J., … & Keller, F. (2021). Association of social-cognitive factors with individual preventive behaviours of covid-19 among a mixed-sample of older adults from China and Germany. https://doi.org/10.21203/rs.3.rs-503762/v1
- Dizikes, P. (2021), Study: Culture influences mask wearing, Retrieved from: https://news.mit.edu/2021/masks-collectivism-covid-culture-0520
- Duong, H., Nguyen, H., McFarlane, S., & Nguyen, L. (2021). Risk perception and covid-19 preventive behaviours: application of the integrative model of behavioural prediction. The Social Science Journal, 1-14. https://doi.org/10.1080/03623319.2021.1874176
- Esmaeilzadeh, P. (2022), Public concerns and burdens associated with face mask-wearing: Lessons learned from the COVID-19 pandemic, Progress in Disaster Science, 13, 100215, https://doi.org/10.1016/j.pdisas.2022.100215
- Fadhilah, U. (2019). Religiosity and tax evasion: The application of theory of planned behaviour. Asian Journal of Islamic Management (AJIM), 1(1), 66-73. https://doi.org/10.20885/ajim.vol1.iss1.art6
- Fauk, N., Seran, A., Raymond, C., Merry, M., Tahir, R., Asa, G., … & Ward, P. (2022). Why do we not follow lifesaving rules? Factors affecting nonadherence to covid-19 prevention guidelines in Indonesia: healthcare professionals’ perspectives. International Journal of Environmental Research and Public Health, 19(14), 8502. https://doi.org/10.3390/ijerph19148502
- Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50. https://doi.org/10.1177/002224378101800104
- Guo, J., Chang, Y., Lin, F., Fan, C., Lai, T., & Huang, C. (2023). User experience evaluation of a 3D virtual reality educational program for illegal drug use prevention among high school students: Applying the decomposed theory of planned behaviour. Digital Health, 9, 205520762311712. https://doi.org/10.1177/20552076231171237
- Hair Jr, J. F., Matthews, L. M., Matthews, R. L., & Sarstedt, M. (2017). PLS-SEM or CB-SEM: Updated guidelines on which method to use. International Journal of Multivariate Data Analysis, 1(2), 107-123. https://doi.org/10.1504/IJMDA.2017.087624
- Hahn, K. H. Y., & Bhaduri, G. (2021). Mask Up: Exploring Cross-Cultural Influences on Mask-Making Behavior During the COVID-19 Pandemic. Clothing and Textiles Research Journal, 39(4), 297-313
- Hamilton, K., Dongen, A., & Hagger, M. (2020). An extended theory of planned behaviour for parent-for-child health behaviours: A meta-analysis. Health Psychology, 39(10), 863-878. https://doi.org/10.1037/hea0000940
- Hayes, A. F., & Preacher, K. J. (2013). Conditional process modeling: Using structural equation modeling to examine contingent causal processes. In G. R. Hancock & R. O. Mueller (Eds.), Structural equation modeling: A second course (2nd ed., pp. 219–266). IAP Information Age Publishing.
- Health Pulse (2024), COVID-19 and Festive Seasons: How to reduce your risk, retrieved from: https://www.pantai.com.my/health-pulse/reduce-covid-19-risk-during-festive-seasons
- Hofstede G. (2001). Culture’s consequences: Comparing values, behaviors, institutions, and organizations across nations (2nd ed.). Sage.
- Hofstede, G.; Bond, M.H. (1988). The Confucius connection: From cultural roots to economic growth. Organ. Dyn. 88, 16, 5–21.
- Irfan, M., Akhtar, N., Ahmad, M., Shahzad, F., Elavarasan, R. M., Wu, H., & Yang, C. (2021). Assessing public willingness to wear face masks during the COVID-19 pandemic: Fresh insights from the theory of planned behaviour. International Journal of Environmental Research and Public Health, 18(9), 4577. https://doi.org/10.3390/ijerph18094577
- Jennings, R. (2020), How Cultural Differences Help Asian Countries Beat COVID-19, While US Struggles, Retrieved from: https://www.voanews.com/a/covid-19-pandemic_how-cultural-differences-help-asian-countries-beat-covid-19-while-us-struggles/6193224.html
- Kuger, S., Klieme, E., Jude, N., & Kaplan, D. (2016). Assessing contexts of learning. Springer International Pu. https://doi.org/10.1007/978-3-319-45357-6
- Lao, C., Zhao, N., Gou, M., & Zhou, G. (2021). Using the health action process approach to predict facemask use and hand washing in the early stages of the covid-19 pandemic in China. Current Psychology, 42(8), 6484-6493. https://doi.org/10.1007/s12144-021-01985-0
- Liang, Y., Hustvedt, G., & Miller, J. (2022). Prioritizing protection by face masks during covid-19: the application of customer open innovation. Journal of Open Innovation Technology Market and Complexity, 8(1), 43. https://doi.org/10.3390/joitmc8010043
- Liu, J., Zhao, X., & Zhao, C. (2020). Stimulating and educating engineers to innovate through individual continuous learning. Sustainability, 12(3), 843. https://doi.org/10.3390/su12030843.
- Loehlin, J. C. (1998). Latent Variable Models: An Introduction to Factor, Path, and Structural Analysis. Erlbaum, Hillsdale, New Jersey.
- Lu, W., Lin, S., & Cheng, C. (2011). Sports spectator behaviour: a test of the theory of planned behaviour. Perceptual and Motor Skills, 113(3), 1017-1026. https://doi.org/10.2466/05.17.pms.113.6.1017-1026
- Montshiwa, V. T., & Moroke, N. D. (2014). Assessment of the reliability and validity of student-lecturer evaluation questionnaire: A case of Northwest University. Mediterranean Journal of Social Sciences, 5(14), 352-364. https://doi.org/10.5901/mjss.2014.v5n14p352
- Mostafavi, F., Nasirian, M., Zeinali, M., Ardalan, G., Mohebpour, F., Daniali, S., … & Kelishadi, R. (2021). Evaluating community-based programs in promoting traffic behaviours and safe road crossing behaviours in youth: An application on theory of planned behaviour. International Journal of Preventive Medicine, 12(1), 11. https://doi.org/10.4103/ijpvm.ijpvm_241_20
- Nair N, Selvaraj P, & Nambudiri R. (2022). Culture and COVID-19: Impact of Cross-Cultural Dimensions on Behavioral Responses. Encyclopedia. 2(3):1210-1224. https://doi.org/10.3390/encyclopedia2030081
- Oldmeadow, J. (2021). Effects of face masks on person perception. Perception, 50(10), 876-889. https://doi.org/10.1177/03010066211045172
- Phau, I., Akintimehin, O., & Lee, S. (2022). Investigating consumers’ brand desirability of “upcycled” luxury: The many faces of designer facemasks. Journal of Fashion Marketing and Management. https://doi.org/10.1108/jfmm-11-2021-0296
- Selvaranjan, K., Navaratnam, S., Rajeev, P., & Ravintherakumaran, N. (2021). Environmental challenges induced by extensive use of face masks during COVID-19: A review and potential solutions. Environmental Challenges, 3, 100039. https://doi.org/10.1016/j.envc.2021.100039
- Sim, S., Moey, K., & Tan, N. (2014). The use of facemasks to prevent respiratory infection: a literature review in the context of the health belief model. Singapore Medical Journal, 55(3). https://doi.org/10.11622/smedj.2014037
- Siu, J. (2016). Qualitative study on the shifting sociocultural meanings of the facemask in Hong Kong since the severe acute respiratory syndrome (SARS) outbreak: Implications for infection control in the post-SARS era. International Journal for Equity in Health, 15(1). https://doi.org/10.1186/s12939-016-0358-0
- Somers, M. (2021), How cultural psychology influences mask-wearing, Retrieved from: https://mitsloan.mit.edu/ideas-made-to-matter/how-cultural-psychology-influences-mask-wearing
- Sutisna, F., & Handra, T. (2022). Theory of planned behaviour influences online shopping behaviour. Aptisi Transactions on Management (ATM), 6(1), 52-61. https://doi.org/10.33050/atm.v6i1.1691
- Triandis, H.C. (1989). The self and social behavior in differing cultural contexts. Psychol. Rev. 96, 506–520.
- Triandis, H.C. (1995). Individualism & Collectivism; Westview Press: Boulder, CO, USA, 259.
- Venkatesh, V., & Davis, F. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186-204. https://doi.org/10.1287/mnsc.46.2.186.11926
- Villani, C., D’Ascenzo, S., Scerrati, E., Ricciardelli, P., Nicoletti, R., & Lugli, L. (2022). Wearing the face mask affects our social attention over space. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.923558
- Yastica, T. V., Salma, S. A., Caesaron, D., Safrudin, Y. N., & Pramadya, A. R. (2020). Application of theory planned behavior (TPB) and health belief model (HBM) in COVID-19 prevention: A literature review. In 2020 6th International Conference on Interactive Digital Media (ICIDM) (pp. 1-4). IEEE. https://doi.org/10.1109/icidm51048.2020.9339605
Subscribe to Our Newsletter
Subscribe to Our Newsletter
Sign up for our newsletter, to get updates regarding the Call for Paper, Papers & Research.