1. Introduction
Ecological catastrophes that occurred in the past two decades called for moral behaviors from global citizens. Morality or the idea of good and evil, right and wrong, is a complex topic partly because it varies across cultures (Haidt et al., 1993). Hu et al. (2014) argued that moral self-ideal drove consumers to obtain moral-symbolic products to achieve self-synergy or improve the self. Similarly, according to Yaprak and Prince (2019), moral consumption is the manifestation of the moral self. In other words, the greater the identification of the moral self, the greater the predisposition towards moral actions or choices. Moreover, previous studies have associated moral consumption with green consumption (Perera et al., 2018; Karimzadeh et al., 2019; Yaprak & Prince, 2019; Chairy & Syahrivar, 2020; Pham, 2020; Sharma & Lal, 2020) and religious consumption (Wenell, 2009; Lam & Liu, 2011; Syahrivar, 2021; Syahrivar et al., 2021).
A less explored concept within moral consumption behavior theory is ‘moral deficiency’. When moral transgression occurs, a person may engage in compensatory behavior to achieve a moral equilibrium. For instance, an experimental study by Hu et al. (2014) among students demonstrates how recalling one’s past behaviors that harmed the environment leads to green dining intention. A previous study by Pham (2020) found that moral-self-identity was a positive predictor of organic food products intention. Previous studies have also linked workplace moral hazard to information asymmetry and undisclosed risk-taking actions for profit (Purwono et al., 2019; Akhtar & Saleem, 2021), both of which can be mitigated through pro-social behavior such as corporate social responsibility (Chen et al., 2020; Pinto & Allui, 2020). According to Schwabe et al. (2018), recalling previous wrongdoings may motivate consumers to engage in moral consumption.
This research aims to investigate the relationship between moral deficiency and moral consumption, represented by green and religious purchases. To the best of our knowledge, this is the first research effort to integrate green and religious purchases under a larger concept called ‘moral consumption’ and test their relationship with a less explored and sensitive concept called ‘moral deficiency’. This research employed both implicit (i.e. moral dilemma-induced scenario) and explicit (i.e. self-reports) approaches to measure moral deficiency more accurately. The findings of this research are expected to refine the moral consumption behavior theory.
2. Literature Review
2.1. Moral Deficiency and Moral Consumption
The words ‘morality’ and ‘ethics’ have been used interchangeably in previous studies (Haidt et al., 1993; Vitell & Muncy, 2005; Gregory-Smith et al., 2013; Karčić, 2015; Septiari et al., 2020; Sharma & Lal, 2020). According to Haidt et al. (1993), there are three ways to approach morality: ethics of autonomy (harms, rights, and justice), ethics of community (duty, respect, and obedience towards authority), and ethics of divinity (spiritual purity).
We propose five broad issues in moral deficiency related consumption activities: The first is environmentally harmful consumption, such as wasting on electricity and water, consuming from non-environmental friendly products and food waste (Deumling et al., 2019; Ma et al., 2019; Van Geffen et al., 2020). The second is wildlife harmful consumption, such as consuming endangered animals and hunting for sport (Good et al., 2019; Hsiao, 2020). The third is bodily and mentally harmful consumption, such as alcohol and drug abuse and religious malpractice (Nobakht & Yngvar Dale, 2018; Adhikari et al., 2019; Waters, 2019; Syahrivar, 2021). The fourth is business harmful consumption, such as piracy, illegal downloads/sharing of copyright materials, counterfeit luxuries, and undisclosed risk-taking activities for profits (Komarova Loureiro et al., 2016; Chen et al., 2018; Purwono et al., 2019; Chen et al., 2020; Pinto & Allui, 2020; Akhtar & Saleem, 2021). Lastly is person-related harmful consumption, such as the exploitations of women, children, and the disadvantaged in informal sectors (Deb et al., 2020; Etambakonga & Roloff, 2020; Steele & Hernandez-Salazar, 2020).
Moral deficiency usually requires a mechanism by which the ‘sinners’ attempt to alleviate, rationalize, justify or balance out through some forms of compensatory behavior. According to moral equilibrium theory, people constantly compare their ideal (moral) self with what they actually do; when immoral behaviors exceed the moral-self, one seeks to compensate it through moral actions, just enough to bring the self and the act to a psychological equilibrium point (Hu et al., 2014; Lee & Gino, 2018). Moral actions can be manifested as preferences toward moral products, such as green products and religious products. Previous research suggests that consumers may associate green products with religious or spiritual values (Chairy & Syahrivar, 2020; Genoveva & Syahrivar, 2020).
According to Azevedo (2020), chasing happiness and well-being through consumption, sometimes known as “consumerism, ” will only result in hedonic pleasure or short-term benefits. When the hedonic pleasure was gone, consumers would be dissatisfied, which would fuel their shopping frenzy even more. In this research, we argue that morality is an important factor in consumer activities, such as green and religious purchasing. Consumer morality is defined as a set of rules, ideals, and guidelines that apply to all stages of consumer decision-making: acquisition, consumption, and disposal.
Taylor and Noseworthy (2020) found that when 208 students were exposed to extreme product inconsistency or expectancy violations (e.g. belief versus evidence), they attempted to confirm their ethical convictions by making environmentally friendly consumption decisions. Previous research also suggests that religious goods consumption is related to consumer moral beliefs (Wenell, 2009; Lam & Liu, 2011; Syahrivar, 2021; Syahrivar et al., 2021). In a way, though not always, religious consumption can be seen as a mechanism by which transgressors attempt to alleviate their moral defects. Therefore, we propose the following hypothesis:
H1: People with high moral deficiency (versus low) have more intention to purchase green products.
H2: People with high moral deficiency (versus low) have more intention to purchase religious products.
The theoretical framework of this research is presented in Figure 1.
Figure 1: Theoretical Framework
3. Challenges in Measuring Morality
Previous studies have addressed the morality of participants implicitly (Kujala & Pietiläinen, 2007; Hayley & Zinkiewicz, 2013; Hu et al., 2014; Schwabe et al., 2018; Lim et al., 2019; Jamison et al., 2020), explicitly (Schwitzgebel & Rust, 2014; Zhu et al., 2015; Martin & Tao-Peng, 2017; Luan & Chen, 2020; Septiari et al., 2020) or a combination of both (Francis et al., 2019). The implicit approach to measuring morality is typically accomplished through moral dilemma-induced scenarios and past (im) moral behavior recollection. Meanwhile, the explicit approach to measuring morality is accomplished through self-reports. Various researchers in the moral behavior area have noted the challenges of measuring morality, particularly via self-reports, due to the effects of social desirability (Crane, 1999; Strohminger et al., 2014; Ryan et al., 2020). Admitting that we are not better at measuring this concept, thus we combined both the implicit and the explicit approaches to test our hypotheses. Unlike most researchers, who began their positions as neutral investigators of their participants’ morality, we were more interested in addressing the real issue, which was ‘moral deficiency, ’ and thus our measurements were designed in such a way that they accurately reflected this concept.
4. Pre-research
The pre-research aimed to select the best scenario for moral deficiency. In total, there were three scenarios that we adapted from the previous works by Kujala and Pietiläinen (2007) and Jamison et al. (2020). The scenarios had three contexts: sport, work, and shopping (see Table 1).
Table 1: Moral Deficiency Scenarios
We recruited participants from President University, Indonesia, via the University’s internal academic system. The participation was voluntary, meaning no incentives were offered before and after the completion of the survey. We managed to gather 124 participants from (undergraduate and graduate) students and staff (e.g. lecturers, academic staff) of the University. Our participants were mostly non-worker (79%) female (68.5%) who were between 17 to 30-year- old (85.5%) and had college degrees (98%). In terms of religions, the majority were Muslims (49.2%).
Participants were then asked to read the 3 hypothetical moral deficiency scenarios. Following the work of Hayley and Zinkiewicz (2013), to estimate their moral valence, participants were asked to rate their mood with 5-point Likert Scale (1 = depressed; 5 = happy) and their moral self-appraisal with a 5-point Likert Scale (1 = ashamed; 5 = proud) after reading each scenario. The descriptive statistics and internal validity of each scenario are shown in Table 2. Based on the results, scenario 3 involving shopping context generates the highest correlation and internal validity among items (i.e. mood and moral self-appraisal), thus we selected this scenario.
Table 2: Descriptive Statistics and Internal Validity
MOD: Mood; SPR: Moral Self-Appraisal; N: Number of participants; Min: Minimum; Max: Maximum; S.D.: Standard Deviation; ρ: Pearson’s correlation; **: Correlation is significant at the 0.01 level (2-tailed); α: Cronbach’s Alpha.
5. Study 1 (Implicit Approach)
Study 1 aimed to test the relationship between a moral deficiency and moral consumption as represented by religious and green purchases. We argued that morally deficient people were more inclined toward moral consumption.
5.1. Designs and Procedure
Study 1 employed scenario-based stimulus to implicitly measure the moral deficiency of participants. Participants were asked to read scenario 3. To estimate their moral valence, the participants were asked to rate their mood with 5-point Likert Scale (1 = depressed, 5 = happy) and their moral self-appraisal with 5-point Likert Scale (1 = ashamed, 5 = proud). Following completion of the manipulation task, participants were asked whether they were likely to purchase green and religious products now: “How likely are you to buy green (religious) products right now if they are offered at a reasonable price?” which they must rate on a 5-point Likert scale (1 = very unlikely, 5 = very likely).
5.2. Participants
In Study 1, 121 participants (male = 38, female = 83) from President University, Indonesia, were selected via the University’s internal academic system. We employed the nonprobability sampling method to collect the data. The participation was voluntary, meaning no incentives were offered before and after the completion of the survey.
5.3. Results
Scenario 3 was quite effective to bring down the moods of the participants (MOD3; M = 2.810, S.D. = 0.9514) and lower their moral self-appraisal (SPR; Mean = 2.512, S.D. = 1.0576). The results show that the internal validity of two items is ‘reliable’ (α = 0.877; see Taber, 2018) and the correlation is high and significant (ρ 0.782, p < 0.01). Meanwhile, the internal validity between green purchase (GPC; M = 4.463, S.D. = 0.6588) and religious purchase (RPC; M = 4.298, S.D. = 0.6788), the two proxies of moral consumption, are ‘moderate’ (α = 0.624) and their correlation is moderate and significant ( ρ 0.454, p < 0.01).
We conducted a median-split of an average score of mood (MOD3) and moral self-appraisal (SPR3) and assigned participants into two groups: low moral deficiency or LMD (N = 58; M = 1.8488; S.D. = 0.52321) and high moral deficiency or HMD (N = 63; M = 3.4127, S.D = 0.54284). We then carried out an independent t-test analysis to compare the means of the two groups. Participants in high moral deficiency (HMD; M = 4.571, S.D. = 0.4988) condition shows higher intention to purchase green products (GPC) compared to participants in low moral deficiency condition (LMD; M = 4.345, S.D. = 0.7848) and the mean difference between the two groups is barely significant (MHMD×GPC-LMD×GPC = 0.226, t-test 0.058 > 0.05). Participants in high moral deficiency condition (HMD; M = 4.476, S.D. = 0.6440) also shows higher intention to purchase religious products (RPC) compared to participants in low moral deficiency condition (LMD; M = 4.103, S.D. = 0.6673) and the mean difference between the two groups is statistically significant (MHMD×rRPC−LMD×RPC = 0.373, t-test .002 < 0.05). In general, participants in high moral deficiency group (HMD; M = 4.524, S.D. = 0.4730) shows higher intention to engage in moral consumption (MC) compared to participants in low moral deficiency condition (LMD; M = 4.224, S.D. = 0.6295) and the mean difference is statistically significant (MHMD×MC−LMD×MC = 0.3, t-test .003 < 0.05).
The differences of RPC and GPC between the two groups (LMD vs HMD) are shown in Figure 2.
Figure 2: Moral Consumption in low moral deficiency versus high moral deficiency groups (implicit approach)
6. Study 2 (Explicit Approach)
In Study 1, we barely proved that the mean difference of GPC between the two groups (HMD vs LMD) was statistically different (p 0.058 > 0.05), thus we attempted to prove this relationship via Study 2. While Study 1 implicitly measured moral deficiency through a moral scenario, Study 2 attempted to explicitly measure moral deficiency and then test its relationship with green and religious purchases, two proxies of moral consumption. To accomplish this task, we developed our moral deficiency scale (15 items) based on the previous works by Burkett and White (1974), Svensson et al. (2010), and Ward and King (2018). To minimize social desirability bias (Nederhof, 1985), instead of asking their levels of agreements (e.g. disagree to agree), we inquired the frequency/intensity of each moral deficiency item (e.g. never to always) based on their personal experiences. The pre-research of the 15 item-scale shows a high internal validity (see Table 3).
Table 3: Moral Deficiency Scale
α = Cronbach’s Alpha.
The internal validity between green purchase (GPC; M = 2.25; S.D. = 1.037) and religious purchase (RPC; M = 2.42; S.D. = 1.156) are moderate (α = .776) and their correlation is also moderate and significant (ρ 0.638, p < 0.01).
6.1. Participants
In Study 2, 208 participants (male = 110, female = 98) from the general public were selected via the University’s internal recruitment process. We employed the nonprobability sampling method to collect the data. The participation was voluntary, meaning no incentives were offered before and after the completion of the survey. Participants were told that their profiles were anonymous. As a consequence, unlike Study 1, we did not collect the data that could pinpoint their identities, such as their email address. Moreover, the general public was recruited in Study 2 to improve the external validity of Study 1.
6.2. Procedure
Participants were asked to fill in the moral deficiency (MD) scale and then were assigned into two groups: High Moral Deficiency (HMD; N = 110, M = 2.37, S.D. = 0.512) and Low Moral Deficiency (LMD; N = 98, M = 1.34, S.D. = 0.180). Following completion of the self-report task, participants were asked their likelihood to purchase green and religious products now: “How likely are you to buy green (religious) products right now if they are offered at a reasonable price?” to which they must respond to a 5-point Likert scale (1 = very unlikely, 5 = very likely).
6.3. Results
The results show that the green purchase intention (GPC) of participants in high moral deficiency group (HMD; M = 2.85, S.D. = 0.921) is higher compared to participants in low moral deficiency group (LMD; M = 1.57, S.D. = 0.689) and the mean difference between the two groups is statistically significant (MHMDGPC-LMDGPC = 1.28, t-test 0.000 < 0.05). Similarly, the religious purchase intention (RPC) of participants in high moral deficiency group (HMD; M = 3.02, S.D. = 1.004) is higher compared to participants in low moral deficiency group (LMD; M = 1.76, S.D. = 0.931) and the mean difference is statistically significant (MHMDRPC-LMDRPC = 1.26, t-test .000 < 0.05). The difference between the groups, both in the context of GPC and RPC, is illustrated in Figure 3.
Figure 3: Moral Consumption in low moral deficiency versus high moral deficiency groups (explicit approach)
7. Discussion and Conclusion
Through Study 2 (explicit approach), we were able to successfully replicate the results of Study 1 (implicit approach). While in Study 1, the statistical Mean difference of green purchase (GPC) in high versus low moral deficiency groups was barely significant (p 0.058 > 0.05), Study 2 successfully demonstrated that participants in the two groups had different GPC intentions (p 0.000 < 0.05). Participants with high moral deficiency (HMD) had a higher intention to purchase green products than participants with low moral deficiency (LMD), proving H1. The findings add a weight of evidence to the previous studies, such as Pham (2020) and Taylor and Noseworthy (2020), suggesting that moral-self and moral threats compel people to engage in pro-social and environmentally friendly consumption as a part of moral self-regulation.
Both Study 1 and 2 successfully demonstrated that participants with HMD have a higher intention to purchase religious products (RPC), thus proving H2. The findings of this study made parallel with the previous studies, such as Wenell (2009), Lam and Liu (2011), and Syahrivar et al. (2021), suggesting that religious consumption is driven by moral concerns and is a form of compensatory behavior against self-deficits.
Our research offers several theoretical contributions: first, to the best of our knowledge, this is the first research effort to integrate green consumption and religious consumption under a larger concept called ‘moral consumption’. Products that are considered green may also be perceived as religious or spiritual by consumers because of their moral symbolism (Chairy & Syahrivar, 2020; Genoveva & Syahrivar, 2020). We have shown that the two concepts were correlated, giving a pathway for future research to test them simultaneously. Second, we introduce a new construct called ‘moral deficiency’. Whereas previous studies sought to measure morality in the general sense, our study was straightforward in that it primarily tested participants’ perceived moral deficits. In this research, we were more interested to demonstrate how an increase in moral deficiency could lead to increased purchases of moral-thematic products. In this effort, we have developed our methods and a measurement scale and proven that they are reliable in measuring this sensitive concept. Third, our research provides empirical evidence on the relationship between moral deficiency and moral consumption, particularly religious consumption. Fourth, our research contributes to compensatory consumption theory by linking moral consumption with perceived moral deficiency. Lastly, moral consumption as a concept, especially in the context of Indonesian consumers, is still less explored; therefore, our findings fill in the population gap in this research area. As stated previously, challenges in measuring morality often hinder more research in this area.
We would like to admit several limitations in our research. First, just like previous researchers in this area, we would not pretend that the results of our study were immune to the effects of social desirability. Nevertheless, we have attempted to minimize this problem by measuring the variable of interest (i.e. moral deficiency) by using implicit and explicit approaches. Second, our moral deficiency scale might be affected by the effects of social desirability. For instance, in Study 2, the scale generated relatively low mean values, especially for HMD, but was still sufficient to differentiate our participants into two groups and test their relationships with moral consumption. Nevertheless, this outcome is not unexpected; previous researchers, such as Crane (1999), criticized the use of self reports to assess ethics or morality. Future research may retest our scale. Lastly, we found that the mean values of GPC and RPC in Study 2 were much lower than in Study 1. This could be the result of different sampling segments (i.e. student vs general population) or the complete anonymous in Study 2 (i.e. participants’ email addresses were not asked or recorded).
*Acknowledgements:
The authors acknowledge that this work was funded by President University in Indonesia.
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