Admsci 13 00234
Admsci 13 00234
sciences
Review
“The Dark Side of the Brand” and Brand Hate: A Review and
Future Research Agenda
Cícero Eduardo Walter 1,2,3, * , Vera Teixeira Vale 2,3 , Manuel Au-Yong-Oliveira 2,3,4, * ,
Cláudia Miranda Veloso 2,5 and Bruno Barbosa Sousa 6,7,8
                                         1   Federal Institute of Education Science and Technology of Piauí, Teresina 64000-040, Brazil
                                         2   The Research Unit on Governance, Competitiveness and Public Policies (GOVCOPP), University of Aveiro,
                                             3810-193 Aveiro, Portugal; v.c.vale@ua.pt (V.T.V.); cmv@ua.pt (C.M.V.)
                                         3   Department of Economics, Management, Industrial Engineering and Tourism (DEGEIT), University of Aveiro,
                                             3810-193 Aveiro, Portugal
                                         4   Institute for Systems and Computer Engineering, Technology and Science (INESC TEC),
                                             4200-465 Porto, Portugal
                                         5   School of Technology and Management Agueda (ESTGA), University of Aveiro, 3750-127 Águeda, Portugal
                                         6   Escola Superior de Hotelaria e Turismo (ESHT), Polytechnic Institute of Cávado and Ave (IPCA),
                                             Campus IPCA, 4750-810 Barcelos, Portugal; bsousa@ipca.pt
                                         7   Centre for Tourism Research, Development and Innovation (CiTUR), Polytechnic University of Leiria,
                                             2411-901 Leiria, Portugal
                                         8   The Applied Management Research Unit (UNIAG), Instituto Politécnico de Bragança, Campus de Santa
                                             Apolónia, 5300-253 Bragança, Portugal
                                         *   Correspondence: eduardowalter@ifpi.edu.br (C.E.W.); mao@ua.pt (M.A.-Y.-O.)
                                         Abstract: The present study aimed to analyze the current state of the art regarding brand hate with
                                         the main intention of identifying possible gaps to be explored in future studies. Brand hate can
                                         be described as a set of negative emotions on the part of consumers concerning a certain brand,
                                         whose implications involve a reduction in the profitability of companies, as well as of their market
                                         shares. From the research carried out in the Scopus and Web of Science databases, 90 publications
                                         related to the theme were identified, of which 25 were selected and read in full. The analyzed
                                         literature points out that research on the subject has focused almost exclusively on the development
Citation: Walter, Cícero Eduardo,
                                         of the phenomenon and its consequences from the perspective of consumer behavior. Therefore,
Vera Teixeira Vale, Manuel
Au-Yong-Oliveira, Cláudia Miranda
                                         the emphasis has been on identifying its direct antecedents, on the effects of its mediators in a
Veloso, and Bruno Barbosa Sousa.         set of behaviors such as complaints, negative word of mouth, protests, sponsorship reduction and
2023. “The Dark Side of the Brand”       assignment, brand change, and wishes for revenge, among others. Few studies have been dedicated
and Brand Hate: A Review and             to understanding the direct effects of brand hate on consumer behavior, its evolution over time in
Future Research Agenda.                  different industries and contexts, who its mediators are, and how the phenomenon is perceived
Administrative Sciences 13: 234.         and managed from the perspective of the companies involved in this phenomenon, providing
https://doi.org/10.3390/                 opportunities for future research.
admsci13110234
Received: 6 October 2023                 Keywords: brand hate; consumer behavior; research opportunities; negative emotions; consumer
Revised: 23 October 2023                 relationship; narrative-oriented literature review
Accepted: 27 October 2023
Published: 1 November 2023
1. Introduction
                          perspective to a more relational one (Pels et al. 2000; O’Malley 2014), and it is evident
                          that brand love has received more attention from researchers (Carroll and Ahuvia 2006;
                          Bergkvist and Bech-Larsen 2010; Batra et al. 2012; Ismail and Spinelli 2012; Albert and
                          Merunka 2013; Rauschnabel and Ahuvia 2014; Wallace et al. 2014) than brand hate. Three
                          components define hate, namely, the negation of intimacy—disgust, passion—anger/fear,
                          and commitment—devaluation/diminution (Zhang and Laroche 2020).
                               Specifically, the first research that dealt with constructs related to what would come to
                          be known as brand hate was carried out by Kucuk (2008), in the seminal article “Negativity
                          Double Jeopardy”, attesting to the emergence of a new phenomenon in which the most valu-
                          able brands tended to receive more negative attention than the less valuable brands, through
                          the emergence of anti-brand or anti-consumption websites. After almost 13 years, many
                          investigations followed with important contributions to the understanding of this phe-
                          nomenon. According to Zhang and Laroche (2020), and regarding interpersonal hate, there
                          are two schools of thought in terms of brand hate definition. One school, holding a more
                          traditional interpretation of hate, believes that hate is a primary emotion associated with
                          extreme dislike, aggressive impulses, individual emotional rejection, and group hatred (e.g.,
                          Eibl-Eibesfeldt 1973). Another school of thought, a more widely accepted interpretation of
                          hate among psychology and marketing scholars, believes that hate is comprised of several
                          dimensions, namely, the negation of intimacy, passion, and commitment (Sternberg 2003).
                          From a consumer–brand relationship perspective, Romani et al. (2012) conclude the feeling
                          of hate as an extreme form of dislike for the brand. Bryson et al. (2013, p. 395) define brand
                          hate as “an intense negative emotional affect towards the brand”. Kucuk (2019, p. 432)
                          defines brand hate as “consumer detachment and aversion from a brand and its value
                          systems as a result of constantly happening brand injustices that leads to intense and
                          deeply held negative consumer emotions”. Accordingly, and given the relevance of brand
                          hate, especially for the potential negative impacts resulting from it, such as the decrease
                          in profitability and market share caused by retaliation against a certain brand due to the
                          development of negative emotions on the part of consumers (Tuhin 2019), the present
                          investigation has as its main objective the analysis of the current state of the art regarding
                          brand hate with the main intention of identifying possible gaps to be explored in future
                          studies. Table 1 summarizes several studies of brand hate type and key findings. The
                          present research is justified by presenting an analysis of the main studies carried out on
                          the theme, providing an in-depth, critical, and more objective understanding of the phe-
                          nomenon being investigated. Considering the rationale of the investigation, this theoretical
                          review is useful for identifying existent theoretical gaps, revealing the extent to which the
                          theories developed so far are insufficient, thus justifying further research (Randolph 2009;
                          Booth et al. 2016).
                               The study of brand management is very relevant for decision makers and final con-
                          sumers (i.e., the areas of purchase decision, behavioral intentions, satisfaction, recommen-
                          dation, and loyalty in general). More and more companies are using brand management as
                          a differentiating element and to achieve competitive advantage (Vieira and Sousa 2020).
                          Consumers trust brands and are willing to pay more for their preferred brands.
                               This research is a hybrid type of literature review, in that it uses an integrated frame-
                          work for identifying possibilities for future research on brand hate through a narrative-
                          oriented literature review (Paul and Criado 2020). Negative emotions can have a powerful
                          impact on consumers’ purchase decisions. Companies may face negative consequences such
                          as consumer avoidance, negative word of mouth, and brand boycotts due to consumers’
                          negative sentiments if no actions are taken (Wu et al. 2018). Hate, as an important under-
                          lying emotion, recently began to attract marketing scholars’ attention (Hegner et al. 2017).
                          More specifically, such as Paul et al. (2017), the Theory, Context, Methods (TCM) frame-
                          work is used in a narrative-based review of brand hate to establish a research agenda. In
                          addition to this brief introduction, this research is structured in six other sections. The
                          next section deals with the methodology used to achieve the established objectives. After
                          the methodology section, the main results about the analyzed literature are presented, as
Adm. Sci. 2023, 13, 234                                                                                                    3 of 19
                            well as its discussion, as the core of the present investigation, and, last but not least, the
                            conclusions and references used are presented.
                            2. Methodology
                                  A literature review involves the selection and “critical description of the contemporary
                            and relevant body of relevant published material” (Remenyi 2017, p. 124) on a specific
                            topic that contains information, ideas, data, and evidence that present a certain point of
                            view to achieve a goal or express a view on the nature of a given subject and as it may
                            be investigated (Hart 2018). The literature review “is an essential part of any programme
                            of academic research and frames the context of the research” (Remenyi 2017, p. 124).
                            It is about “engaging with what others have written” (Bryman and Bell 2015, p. 100).
                            Moreover, the usefulness of a literature review is based on the fact that there is a possibility
                            of creating a solid basis for the advancement of knowledge, facilitating the development of
                            theories, and the identification of new niches for investigation (Webster and Watson 2002).
                            Within this premise, the present investigation constitutes a review of the literature about
                            brand hate and, as such, seeks to analyze the current state of the art on the subject with
                            the primary intention of identifying possible gaps to be explored in future investigations.
                            In this sense, it can be considered as a systematic review, as it uses rigorous criteria
                            to identify, critically evaluate, and synthesize all available literature on a given subject
                            (Fink 2019). More strictly speaking, it is a hybrid type of literature review, in that it uses an
                            integrated framework for identifying possibilities for future research on brand hate through
                            a narrative-oriented literature review (Paul and Criado 2020). Hate, a very significant
Adm. Sci. 2023, 13, 234                                                                                               4 of 19
                          emotion, has increasingly attracted marketing scholar’s attention (Grégoire et al. 2009;
                          Hegner et al. 2017; Zarantonello et al. 2016; Wu et al. 2018). Carroll and Ahuvia (2006), for
                          instance, made a contrast between the notions of brand hate and brand love and defined
                          brand hate as the degree of passionate emotional attachment that someone has for certain
                          brands (Rodrigues et al. 2023; Peixoto et al. 2023).
                               The methodological design used in the present research follows several studies
                          (Paul et al. 2017; Loureiro et al. 2019, 2020a, 2020b, 2021a, 2021b; Rodrigues et al. 2023)
                          about the systematic procedures for literature review, specifically concerning the paper
                          selection for the analysis and application of the TCM framework in a narrative-based
                          review to establish a research agenda related to brand hate.
                               The databases used for the selection of relevant literature were Scopus and Web of Science,
                          selected for their relevance in terms of scientific publications, being the most widely used
                          databases by the different fields of study for a literature search (Guz and Rushchitsky 2009;
                          Snyder 2019).
                               In Scopus, the search and location of information resources in the literature were
                          operationalized by inserting the Boolean operator “brand hate”, applied to the title, abstract,
                          and keywords, while the query in Web of Science was performed with the same Boolean
                          operator depending on the topic, as described in Table 2.
                                                                        Query
                           Scopus
                           (TITLE-ABS-KEY(“Brand hate”))
                           Web of Science
                           TS = (“Brand hate”)
                               We extracted 41 articles from journals indexed in the Web of Science and 49 articles
                          indexed in the Scopus database (the summary of the article selection process can be seen
                          in Figure 1), making a total of 90 investigations published during the period from 2016 to
                          2021, a period in which the research area began to gain body and interest from researchers,
                          especially after the investigations conducted by Kucuk (2018) (please see Figures 2 and 3).
                          After reading the 90 titles extracted from the two databases, 49 titles were obtained after
                          combining the databases and eliminating duplicate titles. From reading the 49 titles of
                          selected articles, 22 articles were excluded based on reading the titles and abstracts, using
                          as the criterion for exclusion the exclusive focus on brand hate as the object of research,
                          resulting in a total of 27 articles for full-text analysis. From the full-text analysis, 2 articles
                          were excluded as they were not directly related to brand hate, so 25 articles were identified
                          for the final analysis.
                               In addition, information for critically writing the literature review was extracted in a
                          qualitative way through meta-synthesis, characterized as a non-statistical technique often
                          used to integrate, evaluate, and interpret the results of multiple studies (Cronin et al. 2008),
                          allowing a greater understanding of the object investigated (Cooper and Schindler 2014).
                               Next, to clarify the structure inherent in current research on brand hate, as well as the
                          relationships that exist between its main elements to explain possible research opportu-
                          nities, the TCM framework was applied, as used by other investigations (Paul et al. 2017;
                          Loureiro et al. 2020b) with correlated aims.
                               Complementarily, Table 3 shows the journals that are on the ABS list, as well as their
                          classifications (i.e., the Chartered Association of Business Schools (ABS) regularly pro-
                          duces a guide to academic journals published within the Business and Management field).
                          Accordingly, of the total 25 articles selected for analysis, 16 or 64% of the articles are quality-
                          assured, with ratings ranging from publications with recognized but modest standards (1)
                          to original and well-executed publications being highly regarded (3) (CABS 2021).
                                   Scopus
                                   (TITLE-ABS-KEY(“Brand hate”))
                                  Figure1.
                                 Figure   1. Screening
                                             Screening process
                                                       process for
                                                                for selecting
                                                                    selecting the final papers for analysis. Adapted
                                                                                                             Adapted from
                                                                                                                     from Loureiro
                                                                                                                          Loureiro et
                                                                                                                                   et al.
                                                                                                                                      al.
                                  (2019,2020a,
                                 (2019,  2020a,2021a,
                                                 2021a,2021b).
                                                        2021b).
                                  Figure2.2.Scientific
                                 Figure      Scientificproduction
                                                         production evolution
                                                                  evolution    concerning
                                                                            concerning    brand
                                                                                       brand hatehate
                                                                                                 over over the years
                                                                                                      the years       (2010–2021).
                                                                                                                (2010–2021).       (Ob-
                                                                                                                             (Obtained
                                  tained through R Studio software (https://www.r-studio.com/, accessed on 26 October 2023) and
                                 through R Studio software (https://www.r-studio.com/, accessed on 26 October 2023) and Package
                                  Package Bibliometrix (https://www.bibliometrix.org/home/, accessed on 26 October 2023).).
                                 Bibliometrix (https://www.bibliometrix.org/home/, accessed on 26 October 2023).).
                                 Figure 3.
                                        3. Historical
                                            HistoricalDirect
                                                        DirectCitation
                                                               CitationNetwork
                                                                        Networkconcerning brand
                                                                                 concerning  brandhatehate
                                                                                                       overover
                                                                                                            the years (2010–2021).
                                                                                                                the years (2010–2021).
                                 (Obtained
                                 (Obtained through
                                            through Studio   software and
                                                      Studio software  and Package
                                                                           Package Bibliometrix.)
                                                                                   Bibliometrix.)
                                      Figure 4 presents the main methods applied in brand hate investigations, considering
                                 the period between 2016 and 2021. It appears that structural equation modeling has been
                                 the most applied method, followed by interviews and regression analysis, which ulti-
                                 mately is related to the concern in identifying the main antecedents and consequences of
                                 brand hate, as verified later in this research.
Adm. Sci. 2023, 13, 234                                                                                                  7 of 19
                          Figure 3. Historical Direct Citation Network concerning brand hate over the years (2010–2021).
                          (Obtained through Studio software and Package Bibliometrix.)
                                Figure44 presents
                                Figure    presentsthe
                                                    the main
                                                         main methods
                                                               methods applied
                                                                           applied in
                                                                                    in brand
                                                                                       brand hate
                                                                                              hate investigations,
                                                                                                   investigations, considering
                                                                                                                   considering
                           the period
                          the  period between
                                        between 2016
                                                  2016 and
                                                        and 2021.
                                                             2021. It
                                                                    It appears
                                                                       appears that
                                                                                that structural
                                                                                      structural equation
                                                                                                  equation modeling
                                                                                                           modeling has
                                                                                                                      has been
                                                                                                                           been
                           themost
                          the   mostapplied
                                       appliedmethod,
                                                method,    followed
                                                        followed       by interviews
                                                                   by interviews   and and   regression
                                                                                         regression      analysis,
                                                                                                    analysis, whichwhich   ulti-
                                                                                                                     ultimately
                           mately
                          is       is to
                             related  related  to the concern
                                         the concern            in identifying
                                                       in identifying    the mainthe  main antecedents
                                                                                   antecedents           and consequences
                                                                                                  and consequences           of
                                                                                                                      of brand
                           brandashate,
                          hate,          as verified
                                   verified  later inlater in this research.
                                                      this research.
                          Figure 4. Main methods identified concerning brand hate researchers over the years (2016–2021).
                          Figure 4. Main methods identified concerning brand hate researchers over the years (2016–2021).
                               In addition to the studies mentioned, Platania et al. (2020) investigated 422 individ-
                          uals to verify the psychometric properties of the brand hate Reduced Scale in the Italian
                          context, as an aid to structural equation modeling. Using measures such as the Avoidance
                          Scale, made up of items such as Experiential Avoidance, Identity Avoidance, and Moral
                          Avoidance, and the Direct and Indirect Revenge Scale, made up of items such as Rejection
                          Behavior, Negative word-of-mouth, Online Complaints, and Market Aggression, the au-
                          thors found evidence that the brand hate Reduced Scale in the Italian context confirms
                          some structures of the original scale developed by Hegner et al. (2017). Additionally, the
                          authors found evidence that there is a strong and positive correlation between the brand
                          hate Reduced Scale, especially Moral Avoidance and negative word-of-mouth behavior.
                                To assess how the personality traits assessed through the Big Five influence brand
                          hate, Kucuk (2019), from a sample of 253 consumers, found evidence through multiple
                          regressions that conscientiousness influences brand hate’s behavior in several ways. Specif-
                          ically, consumers who perceive themselves as trustworthy tend to have a high level of
                          brand hate when something does not happen as expected about a brand. The results point
                          out that the “careless” personality trait also influences brand hate. Additionally, intending
                          to broaden the understanding of brand hate about other personality traits, specifically with
                          the Agency–Community personality traits theory, using the same respondents as in the
                          previous study, Kucuk (2019) found evidence that consumers who have personality traits
                          such as self-confidence and competitive behavior tend to feel more hate for a brand than
                          others. Furthermore, the author found a negative relationship between self-confidence and
                          brand hate, indicating that the less self-confident consumers are, the greater the chance
                          that they would prefer to move away from the brand they hate, expressing to a lesser
                          degree their feelings of hate. In this sense, personality traits such as self-confidence and
                          competitiveness can be used by companies as signals to identify brand hate behaviors.
                                In another study by Kucuk (2018) on the role of corporate social responsibility and
                          complaints about product and service failures as possible antecedents of brand hate at a
                          macrolevel, a sample of 57 North American brands provided evidence through multiple
                          regressions that the complaints caused due to product and service failures have a direct
                          impact on brand hate, whereas corporate social responsibility has a partial positive influence
                          when combined with complaints about product and service failures.
                                Unlike what was found by Kucuk (2018) that complaints directly influence brand
                          hate, Curina et al. (2020) investigated brand hate developed by consumers who bought
                          and used the services of a brand they hated in a cross-channel setting (online and offline
                          environments), in a sample of 265 consumers. They found empirical evidence by structural
                          equation modeling that brand hate is an important moderator of offline negative word-
                          of-mouth behavior, online complaints, and non-repurchase intention. Additionally, the
                          authors identified that online complaints and offline negative word of mouth have an
                          important mediating effect between brand hate and non-repurchase behavior. Specifically,
                          brand hate has a significant indirect effect on non-repurchase behavior through online
                          complaints and offline negative word of mouth, so online complaints lead to offline negative
                          word-of-mouth behavior, which in turn positively influences non-repurchase behavior.
                          previously developed some hate for the brand to express themselves negatively about the
                          brand online.
                                In a complementary way to the results identified by Joshi and Yadav (2020), by
                          examining which emotional components of brand hate and their variations across different
                          levels of brand hate, through a sample of 1398 American consumers, using in-depth
                          interviews and structural equation modeling, Zhang and Laroche (2020) found empirical
                          evidence that brand hate is a multidimensional construct composed of emotions related
                          to anger, sadness, and fear. Furthermore, the authors identified that a strong brand hate
                          feeling can be determined by the intense integration between anger, sadness, and fear,
                          while a moderate brand hate feeling is determined mainly by the feeling of anger. In
                          this sense, when examining these sub-dimensions of brand hate, the authors found that
                          negative word-of-mouth behaviors are caused by different emotions at different brand hate
                          levels. While sadness-related emotions have a moderate brand hate impact on negative
                          word-of-mouth behaviors (Pantano 2021), including complaints and reduced sponsorship,
                          anger-related emotions cause strong brand hate and negative word-of-mouth behaviors
                          leading to protests.
                                However, the results found by Zhang and Laroche (2020) differ from those of Fetscherin
                          (2019) in that when analyzing the relationship between the theory of interpersonal relations
                          of hate of Sternberg (2003) with relationships with a brand, in a sample of 712 American
                          consumers in two studies, found evidence using structural equation modeling that brand
                          hate is a multidimensional construct made up of three key emotions such as disgust, con-
                          tempt, and anger, which combined are responsible for the emergence of five types of brand
                          hate with specific responses. In this sense, the author identified that “cool hate” leads to
                          brand change behavior, that “simmering hate” leads to private complaint behavior, that
                          “burning hate” leads to public complaint behavior and desire for revenge, that “boiling
                          hate” leads to brand retaliation behavior, and that “hot hate” leads to financial sacrifice
                          behavior to harm a brand.
                                Another investigation that aimed to assess the possible connections between the
                          constraint of consuming a brand and brand hate, carried out by Sarkar et al. (2020) in a
                          sample of 339 consumers of an Indian car brand, provided empirical evidence through
                          structural equation modeling that the constraint over the use of a brand and brand hate
                          are largely related through consumers’ perceptions concerning social and personal self-
                          expression. In this sense, the authors identified that the negative social self-expression of a
                          brand positively affects the constraint caused by the use of the brand, which in turn will
                          positively influence brand hate. Additionally, the authors showed that embarrassment by
                          the use of the brand is an important mediator of the relationship between a brand’s negative
                          social self-expression and brand hate, that consumers’ susceptibility to social influences
                          is a positive moderator in the relationship between the negative social self-expression of
                          a brand and the embarrassment about the use of the brand, and that the personal self-
                          expression of a brand is a moderator that negatively affects the relationship between the
                          embarrassment about the use of the brand and brand hate. This indicates that the personal
                          self-expression of a brand cannot be the reason behind the embarrassment by the use of the
                          brand, considering that it constitutes a negative public and not private emotion.
                                Still in the context of analyzing a specific brand, Rodrigues et al. (2020) when investi-
                          gating the role of the brand in brand hate, especially through an anti-Apple community
                          composed of 254 individuals, using structural equation modeling, found evidence that
                          brand hate linked to the brand has as antecedents the symbolic incongruence, ideological
                          incompatibility, past negative experiences, and brand inauthenticity, which in turn give
                          rise to dichotomous responses related to negative emotional issues (negative brand en-
                          gagement) and behavioral issues, such as brand aversion, negative word of mouth, and
                          willingness to punish the brand. In addition, the authors point out that, unlike brand love,
                          brand hate does not occur at a single point in time but rather in a transition of feelings
                          caused by a particular event such as brand use and that consumers who are passionate
                          about the brand have greater brand tolerance.
Adm. Sci. 2023, 13, 234                                                                                           11 of 19
                                In the same sense, Bayarassou et al. (2020) when investigating negative brand per-
                          sonality traits, such as the deceptive character of a brand, in conjunction with consumers’
                          personality traits, especially narcissism, using structural equation modeling with a sample
                          of 448 French consumers, found empirical evidence that brand betrayal has a mediating ef-
                          fect between the deceptive character of a brand and brand hate. Adding to this, the authors
                          also pointed out that active brand hate leads to revenge behavior, which is influenced by
                          narcissism, while passive brand hate leads to avoidance behavior.
                                Another important finding made by Ali et al. (2020) when investigating the influences
                          of dissatisfaction and narcissism as antecedent mediating and moderating variables of
                          brand hate in the mobile phone market in Pakistan, specifically in a sample consisting of
                          606 consumers, using structural equation modeling as a statistical technique, lies in the fact
                          that the consumers’ perceptions of the quality of the services provided (e.g., price, quality
                          of calls and services) are an important predictor of consumer dissatisfaction, which in turn
                          has a significant mediation role in brand hate. Finally, the authors identified that narcissism
                          plays a strong role in moderating the relationship between dissatisfaction and brand hate
                          in the market for mobile phone consumers in Pakistan.
                                In the same context, in assessing the antecedents and consequences of brand hate in the
                          telecommunications sector in Portugal, Pinto and Brandão (2020), using survey-based data
                          with 636 Portuguese consumers, found empirical evidence that past negative experiences
                          and symbolic incongruence influence brand avoidance and brand retaliation behaviors.
                          In addition, the authors also point out that brand hate has a mediating effect between (I)
                          negative experiences, brand avoidance, negative word of mouth, and brand retaliation, as
                          well as between (II) symbolic incongruence, brand avoidance, negative word of mouth,
                          and brand retaliation.
                                Another investigation carried out by Banerjee and Goel (2020) using a sample com-
                          posed of 415 Indian voters, analyzed with the aid of structural equation modeling, provided
                          evidence that the main antecedents of political brand hate are unmet expectations, ideolog-
                          ical incompatibility, and symbolic incongruence, in order of importance. Other findings
                          made by the authors relate to the fact that the intensity of hate for a party has a direct
                          influence on brand hate, that brand hate has a significant positive impact on the avoidance
                          of a political brand, that brand hate has a negative influence on retaliatory behavior, in-
                          dicating that in the case of the political market brand hate leads only to avoidance, that
                          intense brand hate has a positive impact on extremist behaviors, leading voters to engage
                          in anti-brand activities, and, finally, that the involvement of political products is a signif-
                          icant mediator of the relationship between unmet expectations, symbolic incongruence,
                          ideological incompatibility, and brand hate.
                                Husnain et al. (2020) when investigating the relationship between similar competing
                          offers and brand equity mediated by brand hate, using structural equation modeling on a
                          sample of 338 Pakistani consumers, found empirical evidence that brand hate has a mediat-
                          ing role between similar competing offers and brand equity. Adding to this, the authors
                          further point out that narcissistic personality is a mediator between similar competing offers
                          and brand hate and that there is an indirect mediation effect between similar competing
                          offers and brand hate only when individuals require narcissistic personality traits.
                                In the hospitality industry, Sarkar et al. (2021), when evaluating Indian consumers’
                          undesirable responses to service failure, employing experimental studies, based on media-
                          tion analysis, and a self-reported survey, analyzed by exploratory factor analysis, found
                          empirical evidence that severe service failure is a significant predictor of brand retalia-
                          tion, whose effect is sequentially mediated by dissatisfaction and brand hate. Adding
                          to this, the authors point out that other consumer perceptions of behavior influence the
                          mitigation of the adverse effect of service failure on dissatisfaction, and the same is true for
                          relational consumers.
                                Kucuk (2021), through a literature review, presents an overview of the antecedents
                          and consequences of brand hate so far, without, however, pointing out paths for future
                          investigations. In this sense, the author points out that the antecedents of brand hate can be
                          broadly categorized as stemming from consumers’ disappointment with a particular brand,
                          especially regarding flaws in a product or service. In addition, the author points out that the
                          consequences may vary from passive attitudes, such as avoidance behavior, to more active
                          behaviors such as approach behavior, which involves complaints and protests, reaching an
                          extreme, such as attack behavior, in which actions of retaliation and punishment to a brand
                          predominate.
                          5. Discussion
                          5.1. General Findings
                                The research carried out on brand hate so far has focused on its antecedents, modera-
                          tors, and mediators, as well as on the behavioral responses arising from this phenomenon,
                          using mostly quantitative studies. However, although brand hate moderators have been
                          investigated and identified more frequently in the analyzed literature (Hegner et al. 2017;
                          Islam et al. 2018; Kucuk 2018, 2019; Hashim and Kasana 2019; Banerjee and Goel 2020; Joshi
                          and Yadav 2020; Zhang and Laroche 2020; Bryson et al. 2021), the same is not true of brand
                          hate mediators (Ali et al. 2020; Bayarassou et al. 2020; Sarkar et al. 2020), constituting an
                          opportunity for future investigations.
                                On the other hand, although less expressively than in the moderation between an-
                          tecedents and brand hate, the mediating or intervening effect of brand hate in behavioral
                          responses has received greater attention in the analyzed literature (Zarantonello et al. 2016;
                          Hashim and Ahmed 2018; Fetscherin 2019; Bayarassou et al. 2020; Husnain et al. 2020; Pinto
                          and Brandão 2020; Rodrigues et al. 2020; Günaydin and Yıldız 2021; Sarkar et al. 2021) than
                          its direct moderating effects (Curina et al. 2019), which can be explained in large part by
                          the prevalence of studies based on structural equation modeling, which assumes brand
Adm. Sci. 2023, 13, 234                                                                                          13 of 19
                          hate as a mediator of behavioral intentions. In this sense, this gap represents a possibility
                          for further investigations on the moderating effects on consumer behavior, through other
                          techniques that moderate the direct effect between brand hate and the possible behaviors
                          resulting from it, such as regressions based on the methods of ordinary least squares (OLS)
                          or maximum likelihood estimation.
                               Additionally, through the analyzed literature, it is possible to notice that few research
                          studies have been dedicated to validating scales for the evaluation of brand hate in different
                          contexts (Platania et al. 2020). This is important in order to understand the development
                          and evolution of brand hate over time (Zarantonello et al. 2018), in different industries, so
                          the research has focused on the food industry (Hegner et al. 2017; Islam et al. 2018; Bryson
                          and Atwal 2019; Hashim and Kasana 2019), as well as evaluating brand hate from the
                          perspective of companies and not consumers, setting up possible new opportunities for the
                          development of research in this area.
                          may not be accessible to Portuguese citizens—such as Apple products and services. This
                          may mean that Apple may be a target of brand hate by Portuguese citizens. Japan, on the
                          other hand, a richer country, would not hate Apple products for this same reason. Finally,
                          China, whose regime has been criticized by South Korea, thus forbade Samsung products
                          from being sold in China. Hence, the average Chinese citizen may feel some hatred toward
                          Samsung, in this case, for political reasons. Thus, some future avenues of research linked to
                          brand hate may be ethnocentrism, salary level, and political ideology.
                          been done by behavioral economists, such as Dan Ariely, in trying to uncover meanings
                          in day-to-day life, and regarding brand hate, this is also possible. A focus group could be
                          especially powerful if the right mix of experts is brought together (purposive sample) and
                          if they are well-moderated by an experienced moderator. Hatred is a strong motivator and
                          may be found to be linked to several different sources (previous bad experiences with a
                          brand, inaccessibility of a product, and political and religious motivations, among others).
                          Additionally, identifying interesting and relevant people, who feel brand hate as opposed
                          to brand love, to interview could also further the area of research. Specifying how people
                          feel toward a particular brand may be useful in the uncovering of what led to certain
                          sentiments. To date, not much qualitative research has been performed regarding brand
                          hate, and much could be gained, as we mentioned above, in using more subjective and
                          intuitive methods of research that “explore the social world” (Mason 2002, p. 1), in an
                          in-depth, rich, and perhaps more complex manner (Mason 2002).
                          6. Conclusions
                               The present research had as its main objective the analysis of the current state of the
                          art about brand hate with the main intention of identifying possible gaps to be explored in
                          future investigations. In general, 25 studies on the occurrence of the phenomenon involving
                          consumers in countries such as the United States, France, Italy, Pakistan, India, Germany,
                          and Portugal were analyzed.
                               It appears from the analyzed literature that research on the subject has concentrated
                          almost exclusively on the development of the phenomenon and its consequences from the
                          perspective of consumer behavior so that the emphasis has been on identifying the direct
                          antecedents of brand hate, as well as its mediating effects on a set of behaviors such as
                          complaints, negative word of mouth, protests, reduced sponsorship, brand change, and
                          revenge wishes, among others.
                               Regarding limitations, the authors recognize that the manuscript could include greater
                          depth in the analysis (last 10 years) and, thus, obtain a higher quality in the conclusions
                          presented. However, considering that the studies are developed very dynamically, future
                          studies should make it possible to overcome this limitation. Another limitation includes
                          the very small number of articles analyzed (only 25 papers, according to Table 3), as well
                          as the very limited criteria filter for selecting the relevant articles (the Boolean operator
                          “brand hate”; applied to the title, abstract, and keywords).
                          Author Contributions: Conceptualization, C.E.W., M.A.-Y.-O. and B.B.S.; methodology, C.E.W. and
                          M.A.-Y.-O.; software, C.E.W., M.A.-Y.-O., V.T.V., C.M.V. and B.B.S.; formal analysis, C.E.W.; inves-
                          tigation, C.E.W.; writing—original draft preparation, C.E.W. and M.A.-Y.-O.; writing—review and
                          editing, C.E.W., M.A.-Y.-O. and B.B.S.; visualization C.E.W., M.A.-Y.-O. and B.B.S.; supervision,
                          V.T.V., M.A.-Y.-O. and C.M.V.; project administration, B.B.S.; Funding acquisition, B.B.S., V.T.V. and
                          M.A.-Y.-O. All authors have read and agreed to the published version of the manuscript.
                          Funding: This research received no external funding.
                          Institutional Review Board Statement: Not applicable.
                          Informed Consent Statement: Not applicable.
                          Data Availability Statement: Not applicable.
Adm. Sci. 2023, 13, 234                                                                                                            17 of 19
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