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Trilhas para o encantamento: uma revisão = integrativa de frameworks voltados para o design de experiências

Roads to enchantment: a integrative review of frameworks focused on experience design

 

Rodrigo César Tavares Cavalcanti

https://orcid.org/0000-0001= -7444-9423 <= /o:p>

= Doutor em Administração. Universidade Federal de Pernambuco (UFPE) – Brasil. rodrigoc.pesquisa@gmail.com=

 

 <= /o:p>

RESUMO

O presente estudo buscou identificar e descrever frameworks relevantes, claros e acessíveis que auxiliassem no design de experiê= ncias. Para isso, uma revisão integrativa de literatura foi realizada e selecionou= 25 frameworks organizados em três categorias: macro-frameworks, frameworks complementares e frameworks suplementares. A pesqu= isa contribui para os estudos sobre o consumidor na medida em que se debruça so= bre o vasto universo da literatura e destaca frameworks úteis para o des= ign de experiência. O presente artigo destaca-se quando comparado a outros estu= dos focados em questões específicas e divergentes do universo prático. Além dis= so, há o impacto gerencial de facilitar a busca dos profissionais por ferrament= as de design desse tipo.

Palavras-chave: Experiência do consumidor. Experiência do cliente. Design de experiência. Frameworks. Revi= são sistemática.=

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ABSTRACT

The present study aimed to i= dentify and describe relevant, clear, and accessible frameworks that assist in experience design. To achieve this, an integrative literature review was conducted, selecting 25 frameworks organized into three categories: macro-frameworks, complementary frameworks, and supplementary frameworks. T= his research contributes to the consumer studies by delving into the extensive literature landscape and highlighting useful frameworks for experience desi= gn. This article stands out when compared to other studies focused on specific = and divergent practical issues. Moreover, it has a managerial impact by facilitating professionals in their search for such design tools.

Keywords: Consumer Experience. Customer Experience. Experi= ence Design. Frameworks. Systematic Review.

 

Recebido em 26/01/2024.  Aprovado em 08/04/2= 025. Avaliado pelo sistema double blind peer review. Publicado conforme normas da APA.

https://doi.org/10.22279/navus.v16.1860  

1 <= /span>EM BUSCA DE MEIOS PARA ENCANTAR

 

Grandes empr= esas tornaram-se mundialmente populares através de experiências oferecidas aos consumidores. Disney, Mercedes Benz, Tesla e Starbucks são alguns nomes conhecidos por deixarem os consumidores encantados; tal fama vem acompanhad= a de grande lucratividade e foi alcançada por meio de abordagens únicas no desenvolvimento de experiências que marcam profundamente os clientes (Pine & Gilmore, 2011). As experiências em questão são entendidas como todas = as reações das pessoas a soluções de consumo produzidas por organizações (Scussel, Fogaça, & Demo, 2021; Becker & Jakkola, 2020).

A partir des= ses exemplos de sucesso, é possível concluir que as experiências dos consumidor= es podem ser otimizadas pelas organizações. A busca por resultados positivos semelhantes leva a questionamentos acerca do processo de desenvolvimento de tais experiências. Quando se fala em “como”, é possível imaginar algum tipo= de meio ou método. Dessa reflexão surge a primeira demanda do presente estudo: quais métodos existentes podem ser utilizados para a otimização do desenvolvimento de experiências? A resposta para essa pergunta pode servir = às organizações engajadas em inovação de produtos e de serviços.

O design de experiências é um campo de estudo que pode ajudar nessa tarefa. Nele se encontra o conteúdo referente aos meios estruturados para gerar experiência= s no consumo (Turner, Merle, & Gotteland, 2020). Esse tipo de design faz parte da gestão das experiências, cuja função diz respeito aos estudos sobre experiência do cliente. Essa é uma faceta da área de experiência do consumidor que aponta para a criação e o controle de todos os pontos de contato entre clientes e propostas de valor (Schmitt &am= p; Zarantonello, 2013).

A busca conc= reta por meios de desenvolver experiências tem algumas especificidades. A literatura disponível sobre esse assunto é vasta e o desenvolvimento de uma estratégia mostrou-se necessário para responder à inquietação que levou à pesquisa de maneira adequada. Primeiro, foi necessário definir em detalhes o objetivo d= essa busca, a saber: identificar e descrever as principais noções de frameworks relevantes, simples, claros e acessíveis que auxiliem o design de experiênc= ia de maneira substancial e objetiva.

Framework= s funcionam como mapas da teoria, exibindo os principais conceitos e relações envolvidos na trama teórica (Waldt, 2020). O fo= co nesse tipo de solução está alinhado com a visão adotada no presente estudo:= é necessário oferecer à comunidade acadêmica e não acadêmica conhecimentos út= eis para o desenvolvimento de experiências, seja através de aplicações práticas= ou reflexivas.

Outra defini= ção estratégica refere-se ao método. Para atingir tal objetivo, optou-se por uma revisão integrativa de literatura que resultou em uma lista com 25 frame= works voltados para o design de experiência. Eles foram descritos e estruturados a partir de 3 categorias: macro-frameworks= , que dão conta de visões amplas do design em questão; frameworks complementares, que apoiam os frameworks do tipo anterior e os fr= ameworks suplementares, que aprimoram de modo indireto a compreensão sobre os macro-frameworks.

Esse esforço= de pesquisa justifica-se pela necessidade por parte dos profissionais que desenvolvem experiências de encontrar meios úteis para suas atividades. É o caso daqueles que lidam com reações experienciais no desenvolvimento de produtos e serviços, as quais são baseadas em esforços de inovação apresent= ados por designers e empreendedores dos setores de turismo, entretenimento, laze= r, tecnologia entre outros.

A presente p= esquisa ainda dá conta de uma lacuna na literatura especializada recente no que diz respeito aos estudos sobre o consumidor do ponto de vista da administração. Nota-se que estudos sobre design de experiência em periódicos de alto impac= to concentram-se em questões pontuais desse assunto. Assim, não são tão dedica= dos aos modelos teóricos amplos voltados para a prática, como é caso do presente estudo. É necessário pontuar o esforço apresentado aqui para localizar, selecionar, categorizar e descrever tais modelos.

Na literatura especializada, existem artigos que se debruçam sobre aprimoramentos de desi= gn nas funções de transformação do consumidor (Neuhofer, Celuch, & To, 2= 020), de bem-estar (Addis et al, 2022) e de serviços (Beltagui<= /span>, Candi, & Riedel, 2016). Há também pesquisas= que avançam em fundamentos teóricos (Tussyadiah, 20= 14; Gonçalves, Patrício, Teixeira, & Wuenderlich, 2020) e ferramentas focadas em processos específicos como o delivery (Lim, & Kim, 2018) e análises de experiência do consumidor (Trischler, Zeh= rer, & Westman, 2018).

Na sequência= desse estudo, será explicitada a teoria sobre experiência do consumidor e sua áre= a, seguida das noções de frameworks voltadas para o design de experiênc= ia. Além disso, serão apresentados o método e os procedimentos utilizados para a condução da revisão integrativa de literatura. Após essa seção, trataremos = dos 25 frameworks e de suas classificações. Por fim, o artigo apresentará as conclusões da pesquisa.

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2 A EXPERIÊNCIA= DO CONSUMIDOR E SUA ÁREA

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O artigo sobre consumo experiencial de Morris Holbrook e Elizabeth Hirschman é considerado um marco fundador da área de experiência do consumidor (Scussel et al, 2021; Kranzbühler, Kleijnen, Morg= an, & Teerling, 2017; Lemon & Verhoef, 2016). Esse estudo apresenta a experiência composta por elementos como sentimentos, fantasia e prazer, o q= ue contrastou com a tradição da área, baseada em uma perspectiva racional e no processamento de informação (Holbrook & Hirschman, 1982).

Desde então, pesquisadores propuseram novas abordagens para esse campo. Nos anos 1990, Pine e Gilmore (2011) lançaram a primeira edição de “The Experience Economy”, na qual defendem que experiências poderiam ser tratadas como ofertas econômicas mais lucrativas.= Na mesma época, Bernd Schmitt (2011) contribuiu com sua visão sobre estratégia= s de marketing, as quais poderiam ser construídas com apoio da experiência na fo= rma de capacidades cerebrais, tais como os cinco sentidos, pensamento, sentimen= to, ação e relações sociais.

No início dos anos 2000, os estudos avançara= m com concepções de experiência baseadas em abordagens filosóficas acerca da subjetividade (Carù & Cova (2003) e da compreensão das emoções (Addis &= amp; Holbrook, 2001). Em outra frente, a participação dos consumidores em contex= tos de consumo era analisada, assim como a capacidade de geração de valor dessas ações (Lemon & Verhoef, 2016). Por volta de 2010, já era possível fazer mapeamentos da área, dada a grande quantidade de estudos realizados, como d= emonstram dois levantamentos de literatura. Em um deles, várias subáreas foram delimitadas, juntamente com definições importantes para a compreensão delas, como é o caso da própria conceituação de experiência do consumidor (Schmitt & Zarantonello, 2013). Por outro lado, a observação do material publica= do até então permitiu a identificação de correntes de pensamento vigentes; uma delas, a perspectiva organizacional, tem como foco a produção organizaciona= l e a perspectiva do consumidor, focada no consumo (Kranzbühler et al, 2017).

Publicações contemporâneas revelam a atualid= ade dos autores seminais considerados para a construção deste artigo. A economi= a de experiência foi revisitada a partir de uma nova perspectiva (Chevtchouk, Veloutsou, & Paton, 2021), além de ter sido aplicada para investigações empíricas (Lee, Jeong, & Qu, 2020; Kastenholz, Cunha, Eletxigerra, Carvalho, & Silva, 2022) e apontado como obra de um dos principais auto= res da área (Santos, Costa, Burger, & Cechinel, 2018). Já o marketing experiencial modular de Bernd Schmitt fomentou discussões atuais na área de esportes (Hsiao, Tang, & Su, 2021), comunicações de marketing (Sülük, &= amp; Aydin, 2019) e desenvolvimento de produtos (Gallo, Townsend, & Alegre, 2019).

Junto com a vasta gama de estudos, também ve= io a variedade de conceitos sobre o que é a experiência do consumidor (Cavalcant= i, 2022, 2024). Schmitt (2000, 2011) traz uma definição apoiada na neurociênci= a, que coloca a experiência como particular e fruto de estímulos. Já Pine e Gilmore (2011) a tratam como uma oferta econômica, enquanto Holbrook e Hirschman (1982) utilizam conceitos singulares em sua definição, como é o c= aso da fantasia.

Tendo em vista tal diversidade, alguns pesquisadores produziram sínteses das definições vigentes e criaram suas próprias versões (Scussel et al, 2021; Becker & Jakkola, 2020). Tais estudos consideram que experiências são geradas por estímulos e que geram i= mpacto sobre as reações dos consumidores. Becker (2018) explica que diversos agent= es devem ser levados em consideração nessa dinâmica, isto é, estímulos podem a= dvir não só de organizações, mas de outros consumidores e agentes, fato que impl= ica em ter-se uma visão holística do fenômeno em questão.

Em um dos levantamentos citados, Schmitt e Zarantonello (2013) afirmam que o termo ‘consumer experience’ é intercambiá= vel por ‘customer experience’ na medida em que ambos referem-se a experiências relacionadas a atividades comerciais e de marketing. No entant= o, ‘customer experience’, ou experiência do cliente, atende a uma faceta que aponta para esforços organizacionais focados no desenvolvimento de experiências. É a partir dessa faceta que podem ser categorizados os estudos sobre design de experiências.

 =

2.1 O apoio de = frameworks no design de experiências

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De acordo com levantamento de mais de 1300 estudos da área de experiência do cliente, é possível afirmar que a noção acadêmica de experiência do cliente tem alguns fundamentos em comum (Gallardo-Garcia, 2023). O primeiro manifesta-se atrav= és da ideia de que a experiência pode ser manipulada por meio da gestão dos po= ntos de contato entre cliente e organização. O segundo indica que essa manipulaç= ão terá efeito sobre as emoções e o conhecimento do cliente sobre a organizaçã= o, isto é, sobre as respostas do cliente.

Alguns dos e= studos seminais destacam os fundamentos descritos acima. Meyer e Schwager (2007) definem a experiência do cliente com respostas internas e subjetivas quando esses entram em contato direta ou indiretamente com uma empresa. Lem= on e Verhoef (2016) destacam os pontos de contato nos momentos pré, durante e pós consumo ao longo de= uma jornada. Essa jornada pode ser definida como uma sucessão de encontros e de respostas dos clientes com as empresas. Já Verhoef et al (2009) indicam que os diversos pontos de contato podem ser gerenciados segundo alguns aspectos, tais como o ambiente social e o preço. Autores influentes trouxeram contribuições complementares a esses princípios, como = é o caso de processos nos quais consumidores cocriam suas experiências a partir= de pontos de contato com a organização (Prahalad &= amp; Ramaswamy, 2004).

Segundo o me= smo levantamento (Gallardo-Garcia, 2023), existem alguns temas-chave que delimi= tam os principais focos de compreensão sobre a experiência do cliente. Tais tem= as dizem respeito a esse tipo de experiência em diferentes frentes: estratégia, como em definições sobre posicionamento e alinhamento com a marca (Motta-Fi= lho, M. A. (2021); métricas, como o controle de performance de produtos e serviç= os, além dos resultados finais da experiência (Lappeman, Meyer, & Miguel, 2022); cultura e governança, como a implementação de valores condizentes com a experiência por meio da cultura corporativa (Roggeveen, A. L., & Rosengren, S. (2022) o= u, ainda, como operações de gerenciamento da mudança alinhadas à experiência do cliente (Morgan et al, 2022); insights sobre o consumidor, como análise da vivência dos consumidores afim de coletar informações adequadas para geraçã= o de insights inovadores (Sykora, Elayan, Hodgkinson, Jackson, & West, 2022) e design= de experiência, como a  busca por implementar ações para inovar em ofertas de valor experienciais (Turner, Merle, & Gotteland, 2= 020).

Essa categor= ização deixa claro que o design de experiências faz parte da ‘customer experience’. Isso reflete-se nos frameworks descritos nesta seção de resultados, dentre os quais estão os macro-frameworks e seus complementares, os qua= is têm como objetivo criar condições para a implementação de inovações em termos de experiência. Já os frameworks suplementares alinham-se aos estudos de insights sobre o consumidor, permitindo a compreensão de dinâmicas que envo= lvem os clientes. Esses últimos frameworks podem servir de fundamento para implementações de experiências, caso seja necessário.

Framework= é uma representação sistemática dos principais conceitos e relações de uma teoria. Ele funciona como mapa mental e interpretação da realidade (Waldt, 2020). Dentre os frameworks existentes, destacamos aqui os teóricos. Nessa perspectiva, teoria é uma explicação abstrata sobre o mundo feita por meio de conexões lógicas entre conceitos (= Varpio, Paradis, Uijtdehaage, & Young, 2020).

Considerando= as definições expostas nessa seção, pode-se afirmar que os frameworks voltados para o design de experiências são mapas teóricos que orientam o desenvolvimento de experiências do cliente. São abstratos e compostos por elementos - conceitos – que, quando relacionados, demonstram uma estrutura compreensível útil para inovação em experiência. Como são voltados para o desenvolvimento de soluções experienciais, não servem apenas para discussões teóricas, mas também para aplicações em situações concretas relacionadas ao consumo.

Os framew= orks podem dar conta de teorias de vários tipos: descritivas, disruptivas, emancipatórias, preditivas ou explicativas (Varpio, Paradis, Uijtdehaage, &am= p; Young, 2020). Os que serão aqui abordados tentam explicar a estruturação de esforços para o desenvolvimento ou compreensão de experiências. A tipologia ainda aponta quais níveis de teoria, tais como as que explicam questões amp= las, a exemplo da teoria crítica (Coffin, & Egan= -Wyer, 2022) ou as de níveis inferiores, explicam ques= tões específicas, como a teoria ator-rede (Sprong, <= span class=3DSpellE>Driessen, Hillebrand, &am= p; Molner, 2021). Esses focos de explicação teórica dest= acam os macro-frameworks, os quais explicam questões mais amplas do design de experiências e os frameworks complementares e suplementares, os quais têm escopo relativamente reduzido. Todos esses foram utilizados para categorizar e explicar o sentido dos f= rameworks encontrados nesta pesquisa.

 

3 MÉTODO

 

Uma revisão = integrativa de literatura foi utilizada para fazer o levantamento dos frameworks= do design de experiências. O método aqui adotado tem como fzoco a análise de estudos relevantes para responder uma questão sobre determinado tema ou área. Essa revisão permite a análise e a síntese de determinada que= stão da literatura operacionalizada em etapas, a saber: identificação do escopo = de pesquisa, identificação dos estudos e os critérios de inclusão e exclusão, = seleção dos estudos, categorização, análise e apresentação dos resultados (Broome, 2000; Cronin & George, 2023). Esse é um m= étodo utilizado em diversas áreas e propostas quando se tem o objetivo de fazer extensas revisões de literaturas com alguma estruturação (Allen et al, 2021= ; Smith & Merwin, 2021; Elsbac= h & Knippenberg, 2020; Kwon & Kim, 2020).=

A etapa de identificação do escopo de pesquisa consiste em planejar a revisão de literatura. É nela que são definidos os objetivos e as perguntas que irão orientar o estudo, assim como as palavras-chave e o que se espera coletar c= omo informações pertinentes (Broome, 2000; Cronin &= amp; George, 2023). Essa etapa foi orientada pelo objetivo da pesquisa, o qual f= oi apresentado na introdução e materializou-se através da busca por frameworks que, de fato, auxiliassem no design de experiências. Assim, foi feita uma i= nvestigação exploratória nas plataformas Google Acadêmico e Periódicos CAPES, de forma a compreender a dimensão dos estudos sobre design de experiência dentro do contexto da Experiência do Consumidor. Foram identificados 1362 links de ac= esso a estudos que contemplavam o tema.

Segundo a literatura, a etapa seguinte tem como foco a identificação dos estudos e os critérios de inclusão e exclusão. Os estudos devem ser analisados segundo critérios específicos de coleta e precisam atender ao propósito do estudo. = As buscas são feitas com base em palavras-chave relacionadas ao foco da revisã= o. Uma leitura de títulos e resumos dos trabalhos é feita para avaliar quais s= ão as necessidades da pesquisa, assim como definições de inclusão e exclusão, quais materiais serão considerados ou rejeitados durante a coleta. A seleção dos estudos é a etapa seguinte e procura selecionar o material coletado seg= undo parâmetros de qualidade. É nesse momento que ocorre uma reflexão sobre como= os estudos analisados foram construídos, considerando questões como desenho da pesquisa, tipo de dados e objetivos da pesquisa. Ao fim dessa etapa, os est= udos que não se adequam ao esperado são excluídos da investigação (Broome, 2000; Cronin & George, 2023).

A busca de m= aterial iniciou-se pela definição das palavras-chave. Assim, foram estudadas combinações entre os termos consumer experience”, “customer experience”, “design experience<= /span>” e “framework” na plataforma Google Acadêmico. Paralelamente, foram identificados os critérios de inclusão e exclusão do material coletado. As pesquisas cujos links estavam danificados, em idiomas que não eram acessíve= is ao pesquisador, datadas de antes dos anos 2000, com materiais muito extensos (= como livros) e de acesso restrito (como bases de dados as quais o pesquisador não possuía acesso) foram excluídas. Os critérios de inclusão foram estudos que apresentavam frameworks claros, simples e que auxiliassem de forma concreta o design de experiências e que estivessem publicados em inglês. Ao= fim dessa etapa, foram 211 estudos foram selecionados.

Essa etapa de seleção contou com uma avaliação profunda dos estudos levantados. Foram analisados os textos em sua estrutura e mais uma vez com base na pergunta da pesquisa. Os seguintes questionamentos para fins e seleção foram levados em consideração: o estudo é claro na proposição do framework? Sua estru= tura e elementos são bem definidos? Com base nele, é possível desenvolver experiências sem que a literatura da área seja contradita? Além disso, questionamentos como a contribuição é original? Esse estudo não se assemelha demais com outro de modo que se torne redundante? foram utilizados. Com iss= o, foi possível filtrar as publicações com contribuições relevantes para a pesquisa. Ao fim desta etapa, 25 estudos foram selecionados.

Depois, acon= tecem as etapas de categorização, análise, interpretação e apresentação dos resultad= os. Assim, nesse ponto acontece uma análise e interpretação dos resultados de modo a l= evantar informações e categorizar o que foi levantado. Esse esforço norteará a apre= sentação dos resultados uma vez que dará forma clara à massa de informações processa= das. Esse sentido atribuído pode estar relacionado tanto à pergunta de pesquisa quanto às concepções teóricas do estudo, dando formato fundamentado ao cont= eúdo apresentado (Broome, 2000; Cronin & George,= 2023).

Neste ponto da pesquisa, os trabalhos selecionados foram estud= ados de forma mais profunda e anotações foram realizadas, de modo a registrar to= do conhecimento plausível acerca dos frameworks. Uma nova camada de est= udo e análise foi realizada para ajudar o entendimento das propostas de modelos= , de suas semelhanças e diferenças, assim como de suas relações e categorizações. Com isso, foi possível propor três classificações para os frameworks= : macro-frameworks, frameworks complement= ares e frameworks suplementares, conforme descrito na seção de resultados.<= /span>

=  

4 FRAMEWORKS PARA O DESIGN DE EXPERIÊNCIAS

 

Nesta seção se= rão apresentados os frameworks e mapeados na investigação. O quadro 1 re= sume as principais informações encontradas, explicando os frameworks de acordo com suas propostas e categorizações.

 

Quadro 1

= Panorama dos frameworks

Macro-frameworks

Definição

Esta categoria diz respeito aos frameworks que mostram sistemas amplos = de design de experiência e que são compostos por vários conceitos e relações= a fim de estruturar possíveis aplicações.

Framework

Foco

Agapito e Guerreiro (2023)

Design de experiências turísticas com auxílio da tecnologia

Berridge (= 2020)

Design de experiência em eventos

Carvalho e Furtado (2020)

Elementos que compõem experiência de jogos

Da Silva (2021)

Processo de inovação baseado na experiência do consumidor

Funk (2017)

Design de experiência de esportes

Haahti e <= span class=3DSpellE>Komppula (2006)

Estruturação de uma experiência de serviço

Knight e Jefsiout= ine (2003)

Compreensão do consumidor a partir da perspectiva da experiência

Maggiore e Buonic= ontri (2014)

Design de experiências direcionado a locais turísticos

Neuhofer e= t al (2020)

Design de experiências transformadoras

Ponsignon = (2017)

Elementos para o design de experiências do segmento cultural

Tarssanen  & Kylänen (2009)

Dinâmica experiencial composta por tipologia de estímulos e percepções

Troop et a= l (2020)

Experiência valiosa de aprendizagem

Wu e Gao (2019)

Experiências emocionais positivas

F= rameworks complementares

Definição

Esta categoria refere-se aos frameworks que debruça= m-se sobre questões específicas de design de experiências, como pode ser o cas= o de partes ou elementos dos macro-frameworks. Detalham conceitos úteis para o design de experiências para aplicações concretas.

Framework

Foco

Artusi e B= ellini (2020)

Significados da experiência

Berry et al (2002)

Pontos de contato experienciais=

Gomez (2015)

Mapeamento de emoções despertadas pela experiência

Hoss (2017= )

Solução baseada na visão da audiência em uma experiência

Lu e roto (2015)

Guia para o estabelecimento de propósito da experiência

F= rameworks suplementares=

Definição

Esta categoria indica os frameworks que apoiam o design de experiências por me= io de fundamentos sobre experiências que ajudam a entender as dinâmicas e/ou= os elementos que fazem parte do design.

Framework

Foco

Becker e Jakkola<= /span> (2020)

Visão global dos elementos que constituem uma experiência

Becker et al (2020)

Objetivos na experiência

Duerden (2= 018)

Tipos mentais de experiências

Kim (2023)

Coleta de dados para experiências baseadas em produtos inteligentes

Morgan (2008)

Avaliação de experiências extraordinárias

Rothstein = (2002)

Elementos-chave para a compreensão de dinâmicas experienciais

Stieinmetz= (2019)

Percepção da experiência

Nota: elaborado pelo próprio autor a par= tir da leitura dos artigos em amostra

 

No quadro ac= ima, encontra-se um conjunto de treze macro-frameworks, cinco frameworks complementares e sete frameworks suplementar= es. Eles são como partes de grandes esquemas conceituais que podem auxiliar no design de experiências.

Os macro-frameworks apresentam esquemas completos em um determinado nível que serve para mostrar o funcionamento global de uma aplicação de design. No entanto, seus elementos podem ser aprofundados por diretrizes mais específicas que podem ser identificadas nos frameworks complementares. Esses são assim chamados por complementarem a visão panorâm= ica dos macro-frameworks.

Os framew= orks suplementares também apoiam designs experienciais propostos nos macro-frameworks. No entanto, esse apoio concentra-se na compreensão da experiência e suas dinâmicas e não nas aplicações práticas do design em questão. São assim chamados por não comprometerem os esquemas que são suplementados por eles, caso não sejam considerados. Apresentam conceitos similares e/ou sem relação direta com os= macro-frameworks, mas que podem ser utilizados= por debruçarem-se em questões de experiência do consumidor. Por outro lado, pod= em aprimorar a leitura dos frameworks panorâmicos porque explicam partes ou conjuntos que os compõem.

A continuida= de dessa seção elencará os frameworks selecionados para a pesquisa. Eles serão apresentados e explicados de acordo com suas categorias. Dessa forma, o mais representativo da categoria é descrito por imagem e em detalhes, seguido de= uma síntese dos demais (que têm classificações semelhantes ao destacado) por limitações de espaço provenientes do formato de artigo.

 <= /o:p>

4.1 Macro-frameworks

 

O modelo da pirâmide experiencial ou, no original, The Experie= nce Pyramid Model, indicado na figura 1, será o framework em destaque. Ele é constituído de 11 elementos que relacionam-se em= dois eixos de uma pirâmide. Seu formato foi associado ao seu funcionamento. O esquema auxilia no design de experiências na medida em que informa o que um produto deve ter para despertar uma experiência significativa, o que torna possível a criação de produtos de alta qualidade na perspectiva experiencia= l.

 <= /o:p>

 <= /o:p>

Figura 1

= A pirâmide experiencial

Nota: adaptado de Tarssanen & Kylänen (2009)

 

Os elementos= na base da pirâmide são os oferecidos ao consumidor e que podem ser manipulados pel= as organizações. Os outros elementos, na diagonal da figura 1, correspondem às dimensões nas quais os estímulos são experimentados de acordo com os itens = da base. A compreensão de tais elementos, explicados no quadro 2, permite construir propostas de experiência fundamentadas no modelo.

 

Quadro 2

Elementos do modelo da pirâmide experiencial

 

4.2 Frameworks complementares

 

O framewo= rk complementar será destacado e mostrará a visão de audiência construída por = Hoss (2017). Ele é constituído por oito elementos div= ididos em partes de duas circunferências que se relacionam para indicar como acont= ece a participação do consumidor em contextos de experiência e como ele se relaciona com a organização. O framework aparece na imagem 2.

 

 

 

 

 

 

 

 

 

Imagem 2

Framework da visão da audiência

Nota: Adaptado de H= oss (2017).

 

O esquema au= xilia na implementação de sistemas de experiência na medida em que permite que o produtor dos estímulos identifique diferentes etapas de uma vivência assim = como qual deve ser a abordagem da organização para cada uma delas. A complementaridade dá-se na medida em que o modelo permite ampliar a implementação de sistemas que têm como elementos as interações entre organização e consumidor. A visão da audiência é uma forma de lidar com ess= as interações, que são mencionadas como elementos do modelo da pirâmide experiencial, macro-framework citado anteriorme= nte. O quadro 3 explica seus elementos compositivos.

 

Quadro 3

Elementos do framework da visão da audiência

Elemento

Descrição

Inspiração

Algo desperta o desejo do participante de viv= er a experiência.

Antecipação

O visitante tem a expectativa de viver a experiência.

Experiência

Acontece a experiência em si.Assimilação

O participante dá significado à experiência consolidada em sua memória.

AclimatizaçãoO visitante entra na experiência e ajusta os estímulos sensoriais ofertados pela organização, ele aprende sobre a experiência.

Orientação

O visitante procura por pistas de como viver a experiência em meio aos estímulos organizacionais e sobre como realizar s= eus objetivos, observar e usar a memória.

Ação

Age de acordo com o que aprendeu através da interação com a organização.

Resolução

Encerra a experiência e sente o impacto do que viveu como um sentimento, relacionado à organização.

Nota: Adaptado de Becker et al (2020).

 

O esquema su= plementa os macro-frameworks e os frameworks complementa= res na medida em que permite que o designer de experiências compreenda melhor o comportamento de um consumidor em contextos de experiência. O aprendizado s= obre como a jornada é orientada por objetivos permite que sistemas de estímulos sejam desenvolvidos de maneira mais realista e mais adequada à vivência concreta dos indivíduos, dando condições para customizações fundamentadas. = No entanto, é possível que os outros esquemas operem sem ele, já que a noção de objetivo pode ser subentendida, operada de maneira intuitiva ou analisada de maneira superficial, como é o caso do framework de Hos= s (2017), apresentado anteriormente. Segundo sua fase de inspiração, o consum= idor possui um desejo que o guia ao consumo. Esse conceito atua de forma similar= ao do objetivo e não prescinde de uma visão dele como ramificado em outros menores.

A explicação anterior nos leva ao porquê de o framework da jornada do cliente orientada = por objetivos auxiliar na implementação de sistemas estimuladores de experiênci= a. Esse apoio acontece de maneira indireta na medida em que compreender o comportamento do consumidor permite que organizações adequem suas ofertas de valor experiencial à realidade dos clientes.

Outro framew= ork dessa categoria é o de Bekker e Jaakkola (2020)= , o qual apresenta uma visão sintética do que é experiência do consumidor, expo= ndo seus principais elementos. Sua ‘suplementaridade’ encontra-se na ampliação da concepção prática por um entendimento teórico do que é experiência, um fundamento para imaginar técnicas de design dessa espécie. Os elementos que o compõem referem-se ao papel da organização na experiência do consumo, além do estímulo da experiência e das reações e avaliações do consumidor.

A proposta d= e Duerden (2018), por sua vez, aponta para a tipificaçã= o de experiências para melhor compreendê-las e diferenciá-las. Tal teoria suplem= enta os demais frameworks na medida em que apresenta mais um fundamento do tema central dos esquemas de design; isto é, auxilia os aplicadores a entender do que se trata a experiência a ser trabalhada. Seus elementos apontam para os tipos de experiência, sejam elas subconsciente e consciente; dentre as conscientes, estão as ordinárias e as extraordinárias. As extraordinárias dividem-se em memoráveis, significativas e transformadoras.

Kim (2023) c= onstruiu um framework que auxilia na coleta de dados para geração de experiências de consumo baseadas em sistemas de produtos inteligentes (smart products). A suplementação aqui se baseia no suporte de dados necessários para desenvolvimento de experiências de cliente que utilizam estes artefatos inteligentes. Ele se baseia em nove elementos divididos em três grupos: atores, objetos e contexto. Os atores são ativos, passivos e terceiros. Os objetos pode ser os objetos eles mesmos ou ferramentas. O contexto é composto por objetivo, estruturam e contextos fís= icos e psicológicos. Esses elementos direcionam a coleta de dados mencionada.

Já Morgan (2= 008) tem como objetivo avaliar as experiências extraordinárias, experiências que se diferenciam das comuns. Para isso, propõe um framework com critérios que embasam essas avaliações, sendo essa a razão de sua su= plementaridade. Tal modelo traz um esforço suplementar na medida em que avalia as experiênc= ias criadas por meios diversos. O framework é composto por seis elementos dispo= stos em um hexágono, são eles: organização física (como estruturas administrativ= as da experiência analisada), personalidade de design (imagem da experiência), relacionamentos (aspectos sociais da experiência), cultura (tradição e significado), benefícios pessoais (como prazer) e significados simbólicos (= como os relacionados à identidade).

Rothstein (2002) apresenta um framework que descrimina os elementos a serem investiga= dos para a compreensão de um consumidor durante uma experiência. Aqui a suplementação dá-se como fundamento para a compreensão de elementos da experiência. O modelo conta com 3 peças principais como vértices de um triângulo e mais uma peça, acima do esquema. As três peças principais são: atores, atividades e artefatos; a atmosfera é a peça restante.

Por fim, o framework de Steinmetz = (2019) exibe o funcionamento do sistema de percepção de uma experiência. Ele suplementa os macro-frameworks por trazer outro fundamento para a compreensão das experiências em si, desta vez voltado par= a o sistema biológico humano. O esquema traz seus elementos em uma lógica de fl= uxo que começa com o estímulo do ambiente, o qual é recebido pelos sentidos e t= ransformado em percepção, além de gerar respostas cognitivas e emocionais que formam atitudes, memórias e comportamentos.

=  

5 CONCLUSÃO

 

Ao fim do artigo, concluímos que o objetivo traçado foi cumprido.  Foi possível “identifica= r e descrever as principais noções de frameworks relevantes, simples, claros e acessíveis que auxiliem o design de experiência de maneira substancial e objetiva”. Para atender tal demanda, uma revisão sistemática da literatura = com critérios alinhados ao objetivo da pesquisa, foi realizada. Ao fim dela, fo= ram listados, descritos e categorizados 25 frameworks, sendo 13 macro-frameworks, 5 frameworks complementares e 7 frameworks suplementares.

Em uma dimen= são prática, o estudo contribui para facilitar o acesso ao conhecimento adequado sobre design de experiência para profissionais que desenvolvem experiências= por meio de produtos ou serviços. A seleção feita aqui oferece uma lista já adequada para a prática; a categorização e explicação delas torna os framew= orks mais facilmente compreensíveis, do mesmo modo que as descrições feitas.

Sob uma pers= pectiva acadêmica, os resultados deste artigo preenchem a lacuna encontrada em estu= dos sobre o consumidor. Para além da discussão de questões específicas sobre a teoria e a prática do design de experiência, o artigo buscou, identificou, listou, descreveu e classificou conhecimentos sobre como desenvolver experiências por meio de frameworks. Além do valor desse conhecimento em si para essa área de estudo, os demais esforços foram um passo à frente e contribuíram para a reunião e para o esclarecimento de questões sobre os modelos. Tal fato permite ao leitor encontrar um pequeno panorama de ferramentas teóricas úteis e acessíveis sobre design de experiência no cont= exto do consumo para posterior aprofundamento.

O estudo teve acesso restrito a determinados frameworks, uma v= ez que esses exigiram recursos financeiros que seriam utilizados neste projeto= de pesquisa. Além disso, estudos mais extensos foram retirados da amostra pelo tempo impraticável que demandariam ao único pesquisador envolvido. Por outro lado, os trabalhos utilizados nesta revisão são úteis e relevantes para a compreensão e aplicação do conhecimento sobre design de experiência. Diante disso, recomenda-se que futuros pesquisadores façam revisões que incluam estudos de acesso limitado e com grande quantidade de informações.

=  

REFERÊNCIAS

 

Addis, M., & Holbrook, M. B. (2001). On the conceptual link between mass customisati= on and experiential consumption: an explosion of subjectivity. Journal of Consumer Behaviour: An International Research Review, 1(1), 50-66. https://onlinelibrary.wiley.com/doi/abs/10.1002/cb.53

=  

Addis, M., Batat, W., Atakan, S. S., Austin, C. G., Ma= nika, D., Peter, P. C., & Peterson, L. (2022). Food experience design to prev= ent unintended consequences and improve well-being. Journal of Service Resea= rch, 25(1), 143-159. https://journals.sagepub.co= m/doi/abs/10.1177/10946705211057593=

=  

Agapi= to, D., & Guerreiro, M. (2023). Designing accessible tourism experiences: s= low, sensory and smart framework. Enlightening Tourism. A Pathmaking Journal, 13(1), 167-198.

=  

Allen, K. A., Kern, M. L., Rozek, C. S., McInerney, D. M., & Slavich, G. M. (2021). Belonging: A review of conceptual issues, an integra= tive framework, and directions for future research. Australian journal of psychology, 73(1), 87-102. https://www.tandfonline.com/doi/full/10.1080/0004= 9530.2021.1883409

 

Artusi, F., & Bellini, E. (2020). Design and the customer experience: = the challenge of embodying new meaning in a new service. Creativity and Innovation Management, 29, 152-161.

https://onlinelibrary.wiley= .com/doi/abs/10.1111/caim.12364=

=  

Becker, L. (2018). Methodological proposals for the study of consumer experience. Qualitative Market Research: An International Journal, 21(4), 465-490. https://www.emerald.com/insight/content/doi/10.11= 08/QMR-01-2017-0036/full/html

 

Becker, L., & Jaakkola, E. (2020). Customer experience: fundamental premises and implications for research. Journal of the Academy of Marketing Science, 48(4), 630-648.  https://link.springer.com/article/10.1007/s11747-= 019-00718-x

 

Becke= r, L., Jaakkola, E., & Halinen, A. (2020). Toward a goal-oriented view of customer journeys. Journal of Service Management, 31(4), 767-= 790. https://www.emerald.com/ins= ight/content/doi/10.1108/JOSM-11-2019-0329/full/html=

=  

Beltagui, A., Candi, M., & Riedel, J. C. (2016). Setting the stage for service experience: design strategies for functional services. Journal of Service Management, 27(5), 751-772. https://www.emerald.com/ins= ight/content/doi/10.1108/JOSM-08-2015-0234/full/html=

=  

Berri= dge, G. (2020). Designing event experiences. In S. Page, & J. Connel = (Ed,),  The Routle= dge handbook of events (2nd ed., pp. 378-395). Londres: Routledge.

=  

Berry= , L. L., Carbone, L. P., & Haeckel, S. H. (2002). Managing the total customer experience. MIT Sloan management review. Recupe= rado de https://sloanreview.mit.edu= /article/managing-the-total-customer-experience/=

=  

Broome, M. E. (2000). Integrative literature reviews for the develop= ment of concepts. Concept development in nursing: foundations, techniques and applications. Philadelphia (USA): WB Saunders Company, 231-50.

 

Carù, A., & Cova, B. (2003). Revisiting Consumption Experience: A Mo= re Humble but Complete View of the Concept. Marketing theory, 3(2), 267-286. https://journals.sagepub.co= m/doi/abs/10.1177/14705931030032004=

=  

Carva= lho, V. M., & Furtado, E. S. (2020). A framework used for analysis of user experience in games. Journal on Interactive Systems, 11(1), 66-73. <= /span>https://journals-sol.sbc.or= g.br/index.php/jis/article/view/759=

=  

Caval= canti, R. C. T. (2022). Understanding Consumer Experience Literature: High academic impact publications bibliometrics from 2010 to 2019. Consumer Behavior Review, 6 (1), e-253211. https://periodicos.ufpe.br/= revistas/cbr/article/download/253211/42417=

=  

Cavalcanti, R. C. T. (2024). O que é experiê= ncia do consumidor? Investigando a vida no consumo (1 ed).  https://doi.org/10.5281/zen= odo.11262634

 

Chevtchouk, Y., Veloutsou, C., & Paton, R. A. (2021). The experience–economy revisited: an interdisciplinary perspective and research agenda. Journal= of Product & Brand Management, 30(8), 1288-1324. https://www.emerald.com/ins= ight/content/doi/10.1108/JPBM-06-2019-2406/full/html=

=  

Coffi= n, J., & Egan-Wyer, C. (2022). De-romanticising critical marketing theory: capitalist corruption as the Left’s Žižekean fantasy. Journal of Marketing Management<= /i>, 38(1-2), 48-70. = https://www.tandfonline.com= /doi/abs/10.1080/0267257X.2021.1996445=

=  

Cronin, M. A., & George, E. (2023). The why and how of the integrative review. Organizational research methods, 26(1), 168-192. https://journals.sagepub.com/doi/full/10.1177/109= 4428120935507

 

Da Si= lva, E. C. (2021). Customer experience project: a framework to create and deliver value to customers. International Journal of Marketing Studies, 13(3= ), 1-21.

=  

Duerd= en, M. D., Lundberg, N. R., Ward, P., Taniguchi, S. T., Hill, B., Widmer, M. A., & Zabriskie, R. (2018). From ordinary to extraordinary: A framework of experience types. Journal of Leisure Research, 49(3-5), 196-216. = https://www.tandfonline.com= /doi/abs/10.1080/00222216.2018.1528779=

=  

Elsbach, K. D., & van Knippenberg, D. (2020). Creating high‐impact literature reviews: An argument for ‘integrative= reviews’. Journal of management studies, 57<= /i>(6), 1277-1289. https://onlinelibrary.wiley.com/doi/abs/10.1111/j= oms.12581

 

Funk,= D. C. (2017). Introducing a Sport Experience Design (SX) framework for sport consumer behaviour research. Sport Management Review, 20(2), 145-158. https://www.sciencedirect.c= om/science/article/abs/pii/S1441352316300894=

=  

Galla= rdo-Garcia, J., Pagán-Castaño, E., Sánchez-Garcia, J., & Guijarro-García, M. (2023)= . Bibliometric analysis of the customer experience literature. Economic research -= Ekonomska istraživanja, 36(2). https://hrcak.srce.hr/file/442746=

=  

Gallo, I., Townsend, C., & Alegre, I. (2019). Experiential product framing and= its influence on the creation of consumer reviews. Journal of Business Resea= rch, 98, 177-190. https://www.sciencedirect.c= om/science/article/pii/S0148296319300074=

=  

Gomez, R. (2005). Experience design and automotive design (Te= se de doutorado). Queensland University of Technology, Queensland, Austrália. Recuperado de: https://eprints.qut.edu.au/16172/=

=  

Gonçalves, L., Patrício, L., Grenha Teixeira, J= ., & Wuenderlich, N. V. (2020). Under= standing the customer experience with smart services. Journal of Service Manageme= nt, 31(4), 723-744. https://www.emerald.com/ins= ight/content/doi/10.1108/JOSM-11-2019-0349/full/html=

=  

Haahti, A., Komppula, R. (2006) Experience = design in tourism. In Tourism business frontiers (pp 101-110). Oxford: Elsevie= r.

=  

Holbr= ook, M., & Hirschman, E. C. (1982). The Experiential Aspects of Consumption: Consumer Fantasies, Feelings, and Fun. Journal of consumer research, 9(2), 132-140. https://academic.oup.com/jc= r/article-abstract/9/2/132/1813212=

 

Hoss,= J. (2017). Towards a Generative Model for In-Person Experience Design (Dissertação de mestrado).= OCAD University, Toronto, Ontario, Canadá. Recuperado de: https://openresearch.ocadu.ca/id/eprint/1661/=

=  

Hsiao= , C. H., Tang, K. Y., & Su, Y. S. (2021). An empirical exploration of sports sponsorship: Activation of experiential marketing, sponsorship satisfaction, brand equity, and purchase intention. Frontiers in Psychology, 12, 677137. https://www.frontiersin.org/articles/10.3389/fpsyg.2021.677137/full

 

Kastenholz, E., Cunha, D., Eletxiger= ra, A., Carvalho, M., & Silva, I. (2022). The Experience Economy = in a Wine Destination—Analysing Visitor Reviews. = Sustainability, 14(15), 9308. = https://www.mdpi.com/2071-1= 050/14/15/9308=

=  

Kim, = Y. S. (2023). A Framework for Smart Experience Design based on Zero-Party Cust= omer Experience Data. Proceedings of the Design Society, 3, 161-17= 0. https://www.cambridge.org/c= ore/journals/proceedings-of-the-design-society/article/framework-for-smart-= experience-design-based-on-zeroparty-customer-experience-data/BF835BEBC7210= 88528E6E27662BA1195=

=  

Knigh= t, J., & Jefsioutine, M. (2003). The Experience Design Framework: from pleasure to engagability= . Retrieved, 3, 2003.

=  

Kranzbühler, A. M., Kleijnen, M. H., Morgan, R. E.,= & Teerling, M. (2017). The multilevel nature of customer experience research: an integrative review and research agenda. International Journal of Management Reviews, 20(2), 433-456. https://onlinelibrary.wiley= .com/doi/abs/10.1111/ijmr.12140=

=  

Kwon, K., & Kim, T. (2020). An integrative literature review of employee engagement and innovative behavior: Revisiting the JD-R model. = Human resource management review, 30(2), 100704. https://www.sciencedirect.com/science/article/abs= /pii/S1053482218305278

 

Lappeman, J., Meyer, S., & Miguel, D. (2022). Exploring online sentim= ent (OS) as a measure of customer experience (CX) for telecommunication service= s. Services Marketing Quarterly, 43(3), 257-276. = https://www.tandfonline.com= /doi/abs/10.1080/15332969.2021.1992558=

=  

Lee, = S., Jeong, E., & Qu, K. (2020). Exploring theme park visitors’ experience on satisfaction and revisit intention: A utilization of experience economy mod= el. Journal of Quality Assurance in Hospitality & Tourism, 21(4), 474-4= 97. = https://www.tandfonline.com= /doi/abs/10.1080/1528008X.2019.1691702=

=  

Lemon= , K. N., & Verhoef, P. C. (2016). Understanding customer experience througho= ut the customer journey. Journal of marketing, 80(6), 69-96. https://journals.sagepub.co= m/doi/abs/10.1509/jm.15.0420=

=  

Lim, = C., & Kim, K. J. (2018). Experience Design Board: A tool for visualizing and designing experience-centric service delivery processes. Journal of retailing and Consumer Services, 45, 142-151. https://www.sciencedirect.c= om/science/article/pii/S0969698917307877=

=  

Lu, Y= ., & Roto, V. (2015). Evoking meaningful experiences at work–a positive de= sign framework for work tools. Journal of Engineering Design, 26(4-6), 99-120. = https://www.tandfonline.com= /doi/abs/10.1080/09544828.2015.1041461=

=  

Maggi= ore, G., & Buonincontri, P. (2014). The" Place Experience" as a Key for Local Development: a Theoretical Framework. = In Advanced Engineering Forum (Vol. 11, pp. 109-114). Trans Tech Publications Ltd. =

=  

Meyer, C., & Schwager, A. (2007). Understanding customer experience. H= arvard business review, 85(2), 116.

=  

Morga= n, N. A., Jayachandran, S., Hulland, J., Kumar, B., Katsi= keas, C., & Somosi, A. (2022). Marketing performance assessment and accountability: Process and outcomes. International Journal of Research = in Marketing, 39(2), 462-481. https://www.sciencedirect.com/science/article/pii/S0167811621000896

 

Morgan, M. (2008). What makes a good festi= val? Understanding the event experience. Event management, 12(2), 81-93. https://www.ingentaconnect.com/content/cog/em/2008/00000012/00000002/= art00003

 

Motta-Filho, M. A. (2021). Brand experience manual: bridging the gap between brand strategy and customer experience. Review = of managerial science, 15(5), 1173-1204. https://link.springer.com/a= rticle/10.1007/s11846-020-00399-9=

=  

Neuhofer, B., Celuch, K., & To, T. L. (2020). Experience design and the dimensions of transformative festival experiences. International Journal= of Contemporary Hospitality Management, 32(9), 2881-2901. https://www.emerald.com/ins= ight/content/doi/10.1108/IJCHM-01-2020-0008/full/html

=  

Pine,= B. J., & Gilmore, J. H. (2011). The experience economy. Harvard Business Press.

=  

Ponsignon, F., Durrieu, F., & Bouzdine-Chameeva, T. (2017). Customer experience design: a case study = in the cultural sector. Journal of Service Management, 28(4), 763-787.

https://www.emerald.com/ins= ight/content/doi/10.1108/josm-01-2017-0016/full/html=

=  

Praha= lad, C. K., & Ramaswamy, V. (2004). Co-creation experiences: The next practi= ce in value creation. Journal of interactive marketing, 18(3), 5-14. https://www.sciencedirect.c= om/science/article/pii/S1094996804701073=

=  

Rogge= veen, A. L., & Rosengren, S. (2022). From customer experience to human experience: Uses of systematized and non-systematized knowledge. Journal= of Retailing and Consumer Services, 67, 102967. https://www.sciencedirect.c= om/science/article/pii/S0969698922000601=

=  

Roths= tein, P. (2002) a (x 4): Combining ethnography, scenario-building, and design to explore user experience, in Durling, D. and Shackleton, J. (eds.), Common Ground - DRS International Conference 2002, 5-7 September, London, Unit= ed Kingdom. https://dl.designresearchsociety.org/drs-conference-papers/drs2002/re= searchpapers/69

 

Santos, A. R., da Costa, J. I. P., Burger, F., = de Sousa, J. A. B., & Cechinel, E. (2018). Pro= dução académica sobre experiências em serviços: Uma revisão sistemática. Revis= ta de Administração FACES Journal, 17(1), 89-1= 09. http://revista.fumec.br/index.php/facesp/article/view/5169=

 

Schmitt, B. (2011). Experiential Marketing:= How to Get Customers to Sense, Feel, Think, Act, Relate to Your Company and Bra= nds. Free Press.

=  

Schmi= tt, B. H. (2000). Experimental marketing: how to get customers to sense, feel, think, act and relate to your company and brands. European Management Journal, 18(6), 695.

=  

Schmi= tt, B., & Zarantonello, L. (2013). Consumer experience and experiential marketing: A critical review. Malhotra, N.K. (E= d.) Review of marketing Research, 10, 25-61. https://www.emerald.com/ins= ight/content/doi/10.1108/S1548-6435(2013)0000010006/full/html=

=  

Scussel, F. B. C., Fogaça, N., & Demo, G. (2021). = Consu= mption Experience: Proposal for an Unifying Concept. Revista Brasileira de Marketing, 20(1), 175-198.

 

Smith, P. J., & Merwin, R. M. (2021). The role= of exercise in management of mental health disorders: an integrative review. <= i>Annual review of medicine, 72(1), 45-62. https://www.annualreviews.org/content/journals/10= .1146/annurev-med-060619-022943

 

Spron= g, N., Driessen, P. H., Hillebrand, B., & Molner, S. (2021). Market innovation: A literature review and new research directions. Journal of Business Research, 123, 450-462. https://www.sciencedirect.c= om/science/article/pii/S0148296320306378

 

Sülük, S. B., & Aydin, K. (2019). Marketing communications and experiential marketing in the context of augmented reality. In Conte= mporary issues in behavioral finance (Vol. 101, pp. 153-162). Emerald Publishing Limited.

=  

Sykor= a, M., Elayan, S., Hodgkinson, I. R., Jackson, T. W., & West, A. (2022). T= he power of emotions: Leveraging user generated content for customer experience management. Journal of Business Research, 144, 997-1006. https://www.sciencedirect.c= om/science/article/pii/S0148296322001679=

=  

Tarssanen, S., & Kylänen, M. (2009). Handb= ook for experience stagers. Lapland Center of Expertise for the Experience Industry, OY Sevenprint Ltd, Rovaniemi.

=  

Trisc= hler, J., Zehrer, A., & Westman, J. (2018). A designerly= way of analyzing the customer experience. Journal of Services Marketing<= /i>, 32(7), 805-819. https://www.emerald.com/ins= ight/content/doi/10.1108/JSM-04-2017-0138/full/html=

=  

Troop, M., White, D., Wilson, K. E., & Zeni, P. (2020). The user experience de= sign for learning (UXDL) framework: The undergraduate student perspective. The Canadian Journal for the Scholarship of Teaching and Learning, 11(3). <= span style=3D'font-family:"Myriad Pro",sans-serif;mso-fareast-font-family:"Times= New Roman"; color:windowtext;mso-fareast-language:PT-BR;text-decoration:none;text-under= line: none'>https://ojs.lib.uwo.ca/index.php/cjsotl_rcacea/article/view/8328

 

Turne= r, F., Merle, A., & Gotteland, D. (2020). Enha= ncing consumer value of the co-design experience in mass customization. Journa= l of Business Research, 117, 473-483.

=  

Tussyadiah, I. P. (2014). Toward a theoretical foundation for experience desig= n in tourism. Journal of travel research, 53(5), 543-564. https://www.sciencedirect.c= om/science/article/pii/S0148296320303556=

=  

Van d= er Waldt, G. (2020). Constructing conceptual frameworks in social science research. TD: The Journal for Transdisciplinary Research in Southern Afr= ica, 16(1), 1-9.

=  

Varpio, L., Paradis, E., Uijtdehaage, S., & Young, M. (2020). The distinctions between theory, theoretical framework, a= nd conceptual framework. Academic Medicine, 95(7), 989-994. https://www.ingentaconnect.= com/content/wk/acm/2019/00000095/00000007/art00021=

=  

Verho= ef, P. C., Lemon, K. N., Parasuraman, A., Roggeveen, A., T= siros, M., & Schlesinger, L. A. (2009). Customer experience creation: Determinants, dynamics and management strategies. Journal of retailing, 85(1), 31-41. https://www.sciencedirect.com/science/article/abs/pii/S00224359080008= 45

 

Wu, S. H., & Gao, Y. (2019). Under= standing emotional customer experience and co-creation behaviou= rs in luxury hotels. International Journal of Contemporary Hospitality Management, 31(11), 4247-4275. https://www.emerald.com/ins= ight/content/doi/10.1108/ijchm-04-2018-0302/full/html=

=  

=  

 =

 =

 

 

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Trilhas para o encantamento:= uma revisão integrativa de frameworks voltados para o design de experiências

Rodrigo César Tav= ares Cavalcanti

IS= SN 2237-4558  •<= /span>  Navus    Florianópolis    SC    v. 16 • p. 01-4jan./dez. 2025

4

 

                  =                                                                           <= /span>       

 

ISSN 2237-4558    Navus    Florianópolis   SC=     v.9  •=   n.2    p. XX-XX  •  abr./jun. 2019

 

 

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