Central to retail therapy is the notion that stress can be eased by simple browsing, which produces immediate and positive psychological effects through shopping. In the Philippines, retailers are slowly adopting omnichannel strategies as a response to the fundamental shift to online retailing. However, during the pandemic, shoppers resorted to retail therapy to appease emotions and senses. This might explain how the Filipino deserve ko ‘to (I deserve this) mindset can be a form of self-gifting that may relate to retail therapy.

Retail therapy occurs when consumers shop to improve negative feelings rather than merely acquire a needed product (Kang & Johnson, 2011). Retailers in all channels enable consumers to have positive emotional responses by providing them with positive experiences. Pine and Gilmore (1999) identified four types of experiences sought by consumers: entertainment, education, escapism, and esthetics (i.e., 4Es). It is not known which, if any, of the 4Es motivate offline and online retail therapy shopping trips. Retail therapy shoppers may seek different benefits in open, online stores (where they have a great deal of freedom) versus closed, brick-and-mortar stores (where they are limited by time and space) (Bhate & Hannam, 2014). When retail therapy shoppers have experiences they desire, they should experience positive emotional reactions (i.e., pleasure, arousal) (Donovan & Rossiter, 1982). Furthermore, consumers who experience positive emotional reactions tend to display impulse buying behavior (Chang, Eckman, & Yan, 2011). Engaging in impulse buying while retail therapy shopping may encourage compulsive buying behavior (Kang & Johnson, 2011), the most severe form of which is shopping addiction (Edwards, 1993). Based on this collection of previous research, the following hypotheses were developed: H1: Among retail therapy shoppers, the amount of a) entertainment b) education, c) escapism, and d) esthetics sought will be significantly different between 1) offline stores and 2) online stores. H2: Retail therapy behavior will be positively related to level of a) pleasure and b) arousal experienced while shopping. H3a: Level of pleasure experienced while shopping will be positively related to impulse buying behavior. H3b. Level of arousal experienced while shopping will be positively related to impulse buying behavior. H4: Among retail therapy shoppers, impulse buying behavior will be positively related to shopping addiction behavior.Method Using Amazon’s MTurk, 409 consumers (62.6% female; 72.0% Caucasian; 36.5% 30-39 years old) were recruited for an online survey. Participants were first asked to indicate if they had experience shopping for clothing to improve their mood. Clothing was selected as the focus of the study because it is a gender-neutral product frequently purchased during retail therapy (Atalay & Meloy, 2011). Only participants who had engaged in retail therapy behavior were asked to complete the rest of the questionnaire. The next five sections of the questionnaire contained multi-item, 7-point, Likert-type scales previously used to assess the variables in the study. Demographic information was also collected. Results To test H1, a series of t-tests was conducted to compare the benefits sought by retail therapy shoppers in open and closed settings. The means for each of the 4 Es were significantly greater for the closed setting of the store than the open setting of the website. Therefore, H1 was supported. Two regression models were created to test H2a and b. The coefficients for retail therapy were positively and significantly related to pleasure (β = .87; t = 35.70; p < 0.000) and arousal (β = .85; t = 32.52; p < 0.00). Thus, H2a and b were both supported. To examine H3a and b, another regression model was created. The coefficients for pleasure (β = .25; t = 4.51; p < 0.00) and arousal (β = .64; t = 11.69; p < 0.00) were positive and significant. Thus, H3a and H3b were both supported. Lastly, to test H4, a final regression model was created. The coefficient for impulse buying behavior (β = .93; t = 51.49; p < 0.00) was positive and significant, supporting H4. Discussion The results of the present study shed light on retail therapy shopping behavior. Consumers do seek the 4Es when therapeutically shopping for clothing, and they seek the 4Es to a greater degree in closed, offline environments. Perhaps the need to delay gratification in offline stores raises expectations of experiences that can be received immediately in online stores. Participants experienced pleasure and arousal when engaging in retail therapy behavior, thereby supporting researchers (Kang & Johnson, 2011) who conceptualized retail therapy behavior as mood-alleviative consumption behavior. The positive emotions experienced while clothing shopping were related to retail therapy shoppers’ impulse buying behavior, which was positively related to shopping addiction. The success experienced by individuals who engage in shopping behavior to improve their mood seems to encourage future shopping trips to enhance positive emotions. Thus, a troubling pattern of overconsumption may develop if retail therapy shoppers do not find additional methods for mood-alleviation.

The concept of retail therapy which refers to “the phenomenon in which consumers buy things to make themselves feel better” (Kacen, 1998) has been used by the U.S. retail firms in marketing (Kang & Johnson, 2010). Previous studies found that retail therapy concept was associated to consumption behaviors including compulsive buying (Faber & O’Guinn, 1992; O’Guinn & Faber, 1989). Frost et al. (1998) found that compulsive hoarders show compulsive buying tendencies. O’Guinn and Faber (1989) found that compulsive buyers are more likely to confirm compulsivity as a personality trait with a low self-esteem. Lack of research into association of retail therapy to compulsive consumer behaviors motivated us to pursue this study which investigate relationships among retail therapy, compulsive buying and compulsive hoarding, and to examine the moderating effect of consumers’ personality traits on the relationship between retail therapy and compulsive hoarding. Our research questions are: (1) How retail therapy is related to compulsive buying and compulsive hoarding? and (2) Which personality traits moderate the relationship between retail therapy and compulsive hoarding? Based on the literature review, the following hypotheses were proposed. H1: Retail therapy is positively related to compulsive buying; H2: Compulsive buying is positively related to compulsive hoarding; H3: Retail therapy is positively related to compulsive hoarding & H4: Personality trait moderates the relationship between retail therapy and compulsive hoarding. The researchers used 12 items to measure retail therapy (Kang, 2009), 6 items to measure compulsive buying (Faber & O’Guinn, 1992), 9 items to measure compulsive hoarding (Frost, Sketekee, & Grisham, 2004) 8 items of Big Five Inventory (Rammstedt & John, 2007) and 15 item Narcissistic Personality Inventory (NPI) (Ames, Rose & Anderson, 2006) to measure personality trait based on 7‑point Likert scales (1 = strongly disagree, 7 = strongly agree). The online survey was conducted with college students enrolled at a major Midwestern University. A total of 354 undergraduate and graduate students’ responses were used to analyze data. A principal component factor analysis with varimax rotation was conducted to evaluate the measurement of each construct. The factor loadings were above of 0.60, indicating acceptable convergent validity. Reliabilities with Cronbach’s alphas for retail therapy,compulsive buying, compulsive hoarding and personality trait construct were 0.96, 0.81, 0.90 and 0.81 respectively, exceeding the suggested level of 0.70. Simple linear regression was performed to test hypotheses. The results revealed that F statistic (F(1, 352)=126.53, p =.000) was significant and regression coefficient was statistically significant. Therefore, H1 was supported and consistent with previous findings (Faber & O’Guinn, 1992). The regression coefficient for the path from compulsive buying to compulsive hoarding was statistically significant (F(1, 352)=77.15, p=.000). Therefore, H2 was supported and consistent with Frost et al. (1998)’s study. The retail therapy contributed significantly to the prediction of compulsive hoarding with the statistically significant regression results (F(1, 352)=20.28, p=.000), supporting H3. From the principle component analysis with varimax rotation, four factors were extracted from 23 personality trait measurement items which are labeled as “authority-leadership narcissism”, “self-esteem narcissism”, “positive disposition”, and “negative disposition”. All factor loadings were above 0.60 for their respective factors. Then, the researchers divided one single group into four personality trait groups, using these four factors. 4%, 27.1%, 53.7% & 15.3% participants represented “authority-leadership narcissism”, “self-esteem narcissism”, “positive disposition” & “negative disposition” group respectively. Simple regression analysis was performed to test H4. The regression coefficients for positive disposition group (F(1, 188)=13.19, p=.000) and negative disposition group (F(1, 52)=5.01, p≤.05) were statistically significant. H4 was partially supported. The results indicated that people from two groups characterized by positive/negative personality tend to engage in compulsive hoarding to alleviate their negative feelings or mood. Anyone with narcissistic personality with a high self-efficacy may not be engaged in compulsive hoarding even when a therapeutic treatment is made through shopping. They tend to purchase products for changing their moods, but their therapeutic behavior doesn’t lead to compulsive hoarding, which causes sufferings in the end. The low self-esteem has been presented with people being engaged in compulsive behaviors (Marlatt et al., 1988). These findings can help apparel marketers develop the strategies to upgrade their sellingenvironment entertaining so that their customers’ moods are repaired and customers feel satisfied through therapeutic shopping behavior. This study has a limitation that prevents us from generalizing the results to the young consumer population due to sample size to college students.