SlideShare uma empresa Scribd logo
1 de 18
Understanding collaborative
consumption in emerging
economies: the case of Brazil
Francesca Hansstein | Shanghai University of Finance and Economics, Shanghai, China
Fabián Echegaray| Market Analysis, Brazil
Global Food Security and Sustainability Conference
Beijing| September 4-7, 2016
• Collaborative consumption (CC) refers to
individual preferences to exchange, rent
or borrow, give or obtain goods and
services, rather than buy and own them.
• through peer-to-peer networks or usage
fees for access
• in online and/or offline environments
• Exs: car, bike, and home sharing,
clothes, book and tools swaps or rentals,
time-banks, coworking spaces,
crowd-sourcing, etc.
Background
• CC is a key strategy towards sustainable consumption (Prothero et al.
2011; Botsman and Rogers 2011; Schor 2014)
• it encourages higher efficiency in resource usage  longer product
lifecycles
• it reduces waste generation and natural resources depletion
• it educates to address needs/wants by focusing on outcome generation,
not product possession  dematerialize consumption
Background
• Very little empirical research
• Most research covers highly developed nations
• This paper aims at filling few gaps:
• Combine theoretical model with empirical evidence
• Research in a developing country (i.e. Brazil)
• Understand what factors affect specific collaborative consumption
practices
Background
CC in Brazil
• 1/3 of all CC activities in Latin American
• Consumer outreach of 14.5m individuals in major
urban hubs
• USD 265m worth in 2018 (Página 22, 2015)
• Transportation, services to companies, and sharing
physical spaces
Background
Conceptual Framework: Theory on Planned
Behavior
Red circles indicated the constructs we
added to the original model
The core TPB model
• H1: Favorable interpretations of shared consumption in terms of their material
and/or emotional effects will encourage individuals’ involvement with
collaborative practices (ATTITUDE +)
• H2: Social norms encouraging collaborative consumption will correlate with
more favorable predispositions and enactment of shared consumption
behaviors (SOCIAL NORMS +)
• H3: Higher feelings of perceived control over the enactment of shared conducts
will be conducive to a stronger adoption of collaborative behaviors (PBC +)
Research Hypotheses
The extended value-based model
• H4: Individuals exhibiting greater green sensitivity will report more positive
attitudes towards collaborative consumption (GREEN SENSITIVITY +)
• H5: Stronger recognition of a pro-sociability and pro-community payoff (thereafter
labeled ‘pro-social reasons’) in shared consumption will motivate individual’s
involvement with collaborative consumption (PRO-SOCIAL PAYOFF +)
• H6: Market reformist orientations will correlate with favorable predispositions
towards shared consumption (MARKET REFORMIST ORIENTATION +)
• H7: Inter-personal confidence will increase the intention to get involved in future
collaborative consumption practices as well as behaviors (TRUST +)
Research Hypotheses
Socio-demographics
• H8: Socio-demographics factors affect CC practices. In particular:
• H8a: Females are more likely to engage in collaborative consumption
behavior (GENDER)
• H8b: Younger individuals will have a higher intention and behavioral
record of engagement in shared consumption practices (AGE)
• H8c: Individual involvement with collaborative consumption will increase
education and income (EDUCATION and INCOME)
Research Hypotheses
• Survey data collected between January 18th and February 12th, 2015
• Target: Brazilians living in 11 metropolitan areas
• Sampling: multi-stage probability selection criterion
• Data collection method: face to face interview
• Sample size: 905 cases of which about 20% (179 cases) were
familiar with some type of collaborative consumption practices
Data
• The questionnaire was built on the basis of the TPB
• Respondents were asked about awareness, ability to recall one or
more examples of it, their direct experience, self-reported
likelihood of adopting specific practices in the future and several
attitudes and beliefs towards it
• Each construct of the TPB was measured by a set of questions
• Most of the questions required a 4 point Likert scale on their
agreement or likelihood level towards several statement
Questionnaire
Have heard or read
about CC
Have engaged in
forms of CC – past year
Awareness levels and incidence of CC behaviors
7%
20%
79%
1%
Sim
Não
NS/NR
Yes
No
DK/NA
CC in Brazil: awareness, usage and intent to use by
type of goods/services
49
18
16
8
7
6
57
2
10
9
12
6
67
65
61
59
46
58 4346
Conhecidos Praticados Atrativos
Livros Eletro-
eletrônicos
Roupas
Brinquedos
Troca ou venda de usados
Aluguel de bicicletas
Aluguel ou empréstimo de produtos
Aluguel de carro ou carona
Contratação coletiva de serviços
Hospedagem
Selling/exchanging used items
Renting/sharing bikes
Renting/riding car-rides
Group hire of services
Rent/Loan/Borrow products/tools
Housing
Awareness Actual usage Intent to use
Books ClothesElectronics
Toys
(n=905) (n=179)
Chi-square = 38.37
P-value = 0.012
RMSEA = 0.074
CFI = 0.906
SRMR = 0.045
*
Red circles indicate the
relationships that were statistically
significant
Structural Equation Model
Construct General Bike Car Home Work Clothes Toy Service Book Crowdfund
ing
Electronics
AT -.06
.57
-.11
(.55)
1.32**
(.59)
.63
(.49)
-.56
(.50)
1.41***
(.54)
-.23
(.52)
.70
(.51)
.25
(.55)
.30
(.52)
.49
(.50)
SN .90***
(.27)
.90***
(.27)
.22
(.27)
.48
(.30)
.74***
(.25)
.54**
(.24)
.90***
(.26)
.77***
(.29)
.54**
(.28)
.92***
(.25)
1.10***
(.29)
PBC -.03
(.26)
.62**
(.26)
.02
(.24)
.20
(.27)
.06
(.31)
-.17
(.30)
.23
(.34)
-.30
(.29)
-.28
(.28)
.05
(.24)
-.55*
(.31)
GS .29
(.33)
-.19
(.39)
-.60*
(.31)
.29
(.36)
.49
(.33)
.16
(.29)
-.29
(.29)
.38
(.33)
.48
(.30)
.21
(.34)
.72**
(.30)
PS .57
(.58)
1.59***
(.47)
.59
(.46)
.23
(.45)
.49
(.44)
.01
(.49)
-.22
(.43)
-.09
(.48)
.62
(.54)
-.20
(.52)
.09
(.49)
MR -.20
(.41)
-.88**
(.34)
-.25
(.32)
-.36
(.33)
-.26
(.31)
-.65**
(.33)
.26
(.33)
-.11
.(39)
-.24
(.38)
.13
(.39)
-.08
(.37)
T .03
(.32)
.75*
(.39)
-.40
(.32)
-.53
(.37)
.40
(.37)
.74***
(.27)
.12
(.22)
.66*
(.35)
.18
(.31)
.04
(.32)
.47
(.33)
Income -.06
(.09)
-.03
(.04)
.04
(.10)
.01
(.10)
-.16
(.10)
-.05
(.11)
-.00
(.10)
-.15
(0.15)
.19*
(.10)
.13
(.09)
-.13
(.09)
Edu .16
(.23)
.16
(.22)
.22
(.22)
.13
(.24)
.56**
(.24)
-.05
(.23)
-.12
(.22)
.18
(.23)
-.06
(.23)
-.11
(.20)
.17
(.25)
Age -.18
(.19)
-.33
(-21)
.20
(.20)
-.03
(.21)
.02
(.19)
-.08
(.20)
-.37*
(.20)
-.16
(.20)
-.57
(.22)
.22
(.20)
-.39*
(.20)
Gender -.16
(.34)
-.47
(.34)
.32
(.33)
.07
(.32)
-.12
(.35)
.76**
( .34)
.40
(.33)
.06
(.37)
-.03
(.31)
-.25
(.35)
-.35
(.36)
Ordered Logit Regressions: betas, standard
errors and significance level
• CC is incipient among Brazilians (7%) but acceptability (intentions) is fairly
high (~60%) and they foretell behavior (beta= 0.28)
• Attitude and especially social norms are the most important predictors in
explaining the intention to engage in CC
• Market reformism, green sensitivity, pro-social reasons are likely to affect
attitude towards sustainable consumption
• Apart from attitude and intention to swap clothes, no particular
differences exist among females and males
• Socio-demographics were not significant
Discussion
CC seems to respond primarily
• to value-based identity projects to address environmental issues,
contest free-market, or build social capital
• social legitimacy (social norms) and the sense of self-empowerment
(PBC) are also a key elements when choosing collaborative consumption
• Future research can explore collaborative consumption in other
countries, i.e. China
Discussion
Thank you!
f.v.hansstein@mail.shufe.edu.cn
or
francesca.hansstein@gmail.com

Mais conteúdo relacionado

Semelhante a Understanding collaborative consumption in emerging economies: the case of Brazil

Master thesis sdeg pieter van de glind - 3845494 - the consumer potential o...
Master thesis sdeg   pieter van de glind - 3845494 - the consumer potential o...Master thesis sdeg   pieter van de glind - 3845494 - the consumer potential o...
Master thesis sdeg pieter van de glind - 3845494 - the consumer potential o...Pieter van de Glind
 
The Impact of Consumers Perception of Environment and Technology in Redeeming...
The Impact of Consumers Perception of Environment and Technology in Redeeming...The Impact of Consumers Perception of Environment and Technology in Redeeming...
The Impact of Consumers Perception of Environment and Technology in Redeeming...CSCJournals
 
Blue Ribbon Task Force on Sustainable Digital Preservation
Blue Ribbon Task Force on Sustainable Digital PreservationBlue Ribbon Task Force on Sustainable Digital Preservation
Blue Ribbon Task Force on Sustainable Digital PreservationChris Rusbridge
 
Factors influencing consumers's purchasing intention toward online group buyi...
Factors influencing consumers's purchasing intention toward online group buyi...Factors influencing consumers's purchasing intention toward online group buyi...
Factors influencing consumers's purchasing intention toward online group buyi...Tu Thai
 
Metaphors, biases & learning partnerships
Metaphors, biases & learning partnerships Metaphors, biases & learning partnerships
Metaphors, biases & learning partnerships Christopher Wilson
 
Using qualitative data to tell your story of change on campus
Using qualitative data to tell your story of change on campusUsing qualitative data to tell your story of change on campus
Using qualitative data to tell your story of change on campushealthycampuses
 
vdocuments.net_consumer-behaviour-ppt-558458ca98b94.ppt
vdocuments.net_consumer-behaviour-ppt-558458ca98b94.pptvdocuments.net_consumer-behaviour-ppt-558458ca98b94.ppt
vdocuments.net_consumer-behaviour-ppt-558458ca98b94.pptssusera0515d
 
2013 09 19 presentation share_nl peer-to-peer meet-up
2013 09 19 presentation share_nl peer-to-peer meet-up2013 09 19 presentation share_nl peer-to-peer meet-up
2013 09 19 presentation share_nl peer-to-peer meet-upPieter van de Glind
 
Impact of e commerce on purchase behaviour of student in higher education
Impact of e commerce on purchase behaviour of student in higher educationImpact of e commerce on purchase behaviour of student in higher education
Impact of e commerce on purchase behaviour of student in higher educationjpbbk
 
Impact of e commerce on purchase behaviour of student in higher education
Impact of e commerce on purchase behaviour of student in higher educationImpact of e commerce on purchase behaviour of student in higher education
Impact of e commerce on purchase behaviour of student in higher educationJai Prakash
 
Consumer behavior research prateek godara
Consumer behavior research prateek godaraConsumer behavior research prateek godara
Consumer behavior research prateek godaraVikesh Kumar
 
Participatory agricultural research in CGIAR: Challenges and opportunities
Participatory agricultural research in CGIAR: Challenges and opportunities Participatory agricultural research in CGIAR: Challenges and opportunities
Participatory agricultural research in CGIAR: Challenges and opportunities ILRI
 
Fixated consumption behavior final
Fixated consumption behavior finalFixated consumption behavior final
Fixated consumption behavior finalharshitabaranwal
 
An Old Model For A New Age Consumer Decision Making In Participatory Digital...
An Old Model For A New Age  Consumer Decision Making In Participatory Digital...An Old Model For A New Age  Consumer Decision Making In Participatory Digital...
An Old Model For A New Age Consumer Decision Making In Participatory Digital...Martha Brown
 

Semelhante a Understanding collaborative consumption in emerging economies: the case of Brazil (20)

Master thesis sdeg pieter van de glind - 3845494 - the consumer potential o...
Master thesis sdeg   pieter van de glind - 3845494 - the consumer potential o...Master thesis sdeg   pieter van de glind - 3845494 - the consumer potential o...
Master thesis sdeg pieter van de glind - 3845494 - the consumer potential o...
 
The Impact of Consumers Perception of Environment and Technology in Redeeming...
The Impact of Consumers Perception of Environment and Technology in Redeeming...The Impact of Consumers Perception of Environment and Technology in Redeeming...
The Impact of Consumers Perception of Environment and Technology in Redeeming...
 
Blue Ribbon Task Force on Sustainable Digital Preservation
Blue Ribbon Task Force on Sustainable Digital PreservationBlue Ribbon Task Force on Sustainable Digital Preservation
Blue Ribbon Task Force on Sustainable Digital Preservation
 
Policywriting
PolicywritingPolicywriting
Policywriting
 
Factors influencing consumers's purchasing intention toward online group buyi...
Factors influencing consumers's purchasing intention toward online group buyi...Factors influencing consumers's purchasing intention toward online group buyi...
Factors influencing consumers's purchasing intention toward online group buyi...
 
Overview of Theme 7: Enhancing impact through partnerships
Overview of Theme 7: Enhancing impact through partnershipsOverview of Theme 7: Enhancing impact through partnerships
Overview of Theme 7: Enhancing impact through partnerships
 
Metaphors, biases & learning partnerships
Metaphors, biases & learning partnerships Metaphors, biases & learning partnerships
Metaphors, biases & learning partnerships
 
Budd Hall Community Based Research Symposium PRIA India
Budd Hall Community Based Research Symposium PRIA IndiaBudd Hall Community Based Research Symposium PRIA India
Budd Hall Community Based Research Symposium PRIA India
 
Sustainability research
Sustainability researchSustainability research
Sustainability research
 
Using qualitative data to tell your story of change on campus
Using qualitative data to tell your story of change on campusUsing qualitative data to tell your story of change on campus
Using qualitative data to tell your story of change on campus
 
vdocuments.net_consumer-behaviour-ppt-558458ca98b94.ppt
vdocuments.net_consumer-behaviour-ppt-558458ca98b94.pptvdocuments.net_consumer-behaviour-ppt-558458ca98b94.ppt
vdocuments.net_consumer-behaviour-ppt-558458ca98b94.ppt
 
2013 09 19 presentation share_nl peer-to-peer meet-up
2013 09 19 presentation share_nl peer-to-peer meet-up2013 09 19 presentation share_nl peer-to-peer meet-up
2013 09 19 presentation share_nl peer-to-peer meet-up
 
Impact of e commerce on purchase behaviour of student in higher education
Impact of e commerce on purchase behaviour of student in higher educationImpact of e commerce on purchase behaviour of student in higher education
Impact of e commerce on purchase behaviour of student in higher education
 
Impact of e commerce on purchase behaviour of student in higher education
Impact of e commerce on purchase behaviour of student in higher educationImpact of e commerce on purchase behaviour of student in higher education
Impact of e commerce on purchase behaviour of student in higher education
 
Consumer behavior research prateek godara
Consumer behavior research prateek godaraConsumer behavior research prateek godara
Consumer behavior research prateek godara
 
699 Final_Moule
699 Final_Moule699 Final_Moule
699 Final_Moule
 
Participatory agricultural research in CGIAR: Challenges and opportunities
Participatory agricultural research in CGIAR: Challenges and opportunities Participatory agricultural research in CGIAR: Challenges and opportunities
Participatory agricultural research in CGIAR: Challenges and opportunities
 
Fixated consumption behavior final
Fixated consumption behavior finalFixated consumption behavior final
Fixated consumption behavior final
 
2.8 assessment targeting and prioritization
2.8 assessment targeting and prioritization2.8 assessment targeting and prioritization
2.8 assessment targeting and prioritization
 
An Old Model For A New Age Consumer Decision Making In Participatory Digital...
An Old Model For A New Age  Consumer Decision Making In Participatory Digital...An Old Model For A New Age  Consumer Decision Making In Participatory Digital...
An Old Model For A New Age Consumer Decision Making In Participatory Digital...
 

Último

定制(ULV毕业证书)拉文大学毕业证成绩单原版一比一
定制(ULV毕业证书)拉文大学毕业证成绩单原版一比一定制(ULV毕业证书)拉文大学毕业证成绩单原版一比一
定制(ULV毕业证书)拉文大学毕业证成绩单原版一比一s SS
 
marketing strategy of tanishq word PPROJECT.pdf
marketing strategy of tanishq word PPROJECT.pdfmarketing strategy of tanishq word PPROJECT.pdf
marketing strategy of tanishq word PPROJECT.pdfarsathsahil
 
(Generative) AI & Marketing: - Out of the Hype - Empowering the Marketing M...
(Generative) AI & Marketing: - Out of the Hype - Empowering the Marketing M...(Generative) AI & Marketing: - Out of the Hype - Empowering the Marketing M...
(Generative) AI & Marketing: - Out of the Hype - Empowering the Marketing M...Hugues Rey
 
What I learned from auditing over 1,000,000 websites - SERP Conf 2024 Patrick...
What I learned from auditing over 1,000,000 websites - SERP Conf 2024 Patrick...What I learned from auditing over 1,000,000 websites - SERP Conf 2024 Patrick...
What I learned from auditing over 1,000,000 websites - SERP Conf 2024 Patrick...Ahrefs
 
McDonald's: A Journey Through Time (PPT)
McDonald's: A Journey Through Time (PPT)McDonald's: A Journey Through Time (PPT)
McDonald's: A Journey Through Time (PPT)DEVARAJV16
 
Jai Institute for Parenting Program Guide
Jai Institute for Parenting Program GuideJai Institute for Parenting Program Guide
Jai Institute for Parenting Program Guidekiva6
 
Social Samosa Guidebook for SAMMIES 2024.pdf
Social Samosa Guidebook for SAMMIES 2024.pdfSocial Samosa Guidebook for SAMMIES 2024.pdf
Social Samosa Guidebook for SAMMIES 2024.pdfSocial Samosa
 
Fueling A_B experiments with behavioral insights (1).pdf
Fueling A_B experiments with behavioral insights (1).pdfFueling A_B experiments with behavioral insights (1).pdf
Fueling A_B experiments with behavioral insights (1).pdfVWO
 
Word Count for Writers: Examples of Word Counts for Sample Genres
Word Count for Writers: Examples of Word Counts for Sample GenresWord Count for Writers: Examples of Word Counts for Sample Genres
Word Count for Writers: Examples of Word Counts for Sample GenresLisa M. Masiello
 
Master the Art of Digital Recruitment in Asia.pdf
Master the Art of Digital Recruitment in Asia.pdfMaster the Art of Digital Recruitment in Asia.pdf
Master the Art of Digital Recruitment in Asia.pdfHigher Education Marketing
 
Common Culture: Paul Willis Symbolic Creativity
Common Culture: Paul Willis Symbolic CreativityCommon Culture: Paul Willis Symbolic Creativity
Common Culture: Paul Willis Symbolic CreativityMonishka Adhikari
 
Forecast of Content Marketing through AI
Forecast of Content Marketing through AIForecast of Content Marketing through AI
Forecast of Content Marketing through AIRinky
 
VIP Call Girls In Green Park 9654467111 Escorts Service
VIP Call Girls In Green Park 9654467111 Escorts ServiceVIP Call Girls In Green Park 9654467111 Escorts Service
VIP Call Girls In Green Park 9654467111 Escorts ServiceSapana Sha
 
Call Girls In Aerocity Delhi ❤️8860477959 Good Looking Escorts In 24/7 Delhi NCR
Call Girls In Aerocity Delhi ❤️8860477959 Good Looking Escorts In 24/7 Delhi NCRCall Girls In Aerocity Delhi ❤️8860477959 Good Looking Escorts In 24/7 Delhi NCR
Call Girls In Aerocity Delhi ❤️8860477959 Good Looking Escorts In 24/7 Delhi NCRlizamodels9
 
What are the 4 characteristics of CTAs that convert?
What are the 4 characteristics of CTAs that convert?What are the 4 characteristics of CTAs that convert?
What are the 4 characteristics of CTAs that convert?Juan Pineda
 
Best Persuasive selling skills presentation.pptx
Best Persuasive selling skills  presentation.pptxBest Persuasive selling skills  presentation.pptx
Best Persuasive selling skills presentation.pptxMasterPhil1
 
Mastering SEO in the Evolving AI-driven World
Mastering SEO in the Evolving AI-driven WorldMastering SEO in the Evolving AI-driven World
Mastering SEO in the Evolving AI-driven WorldScalenut
 
Call Girls in Lajpat Nagar Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Lajpat Nagar Delhi 💯Call Us 🔝8264348440🔝Call Girls in Lajpat Nagar Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Lajpat Nagar Delhi 💯Call Us 🔝8264348440🔝soniya singh
 
Storyboards for my Final Major Project Video
Storyboards for my Final Major Project VideoStoryboards for my Final Major Project Video
Storyboards for my Final Major Project VideoSineadBidwell
 
The Impact of Digital Technologies
The Impact of Digital Technologies The Impact of Digital Technologies
The Impact of Digital Technologies bruguardarib
 

Último (20)

定制(ULV毕业证书)拉文大学毕业证成绩单原版一比一
定制(ULV毕业证书)拉文大学毕业证成绩单原版一比一定制(ULV毕业证书)拉文大学毕业证成绩单原版一比一
定制(ULV毕业证书)拉文大学毕业证成绩单原版一比一
 
marketing strategy of tanishq word PPROJECT.pdf
marketing strategy of tanishq word PPROJECT.pdfmarketing strategy of tanishq word PPROJECT.pdf
marketing strategy of tanishq word PPROJECT.pdf
 
(Generative) AI & Marketing: - Out of the Hype - Empowering the Marketing M...
(Generative) AI & Marketing: - Out of the Hype - Empowering the Marketing M...(Generative) AI & Marketing: - Out of the Hype - Empowering the Marketing M...
(Generative) AI & Marketing: - Out of the Hype - Empowering the Marketing M...
 
What I learned from auditing over 1,000,000 websites - SERP Conf 2024 Patrick...
What I learned from auditing over 1,000,000 websites - SERP Conf 2024 Patrick...What I learned from auditing over 1,000,000 websites - SERP Conf 2024 Patrick...
What I learned from auditing over 1,000,000 websites - SERP Conf 2024 Patrick...
 
McDonald's: A Journey Through Time (PPT)
McDonald's: A Journey Through Time (PPT)McDonald's: A Journey Through Time (PPT)
McDonald's: A Journey Through Time (PPT)
 
Jai Institute for Parenting Program Guide
Jai Institute for Parenting Program GuideJai Institute for Parenting Program Guide
Jai Institute for Parenting Program Guide
 
Social Samosa Guidebook for SAMMIES 2024.pdf
Social Samosa Guidebook for SAMMIES 2024.pdfSocial Samosa Guidebook for SAMMIES 2024.pdf
Social Samosa Guidebook for SAMMIES 2024.pdf
 
Fueling A_B experiments with behavioral insights (1).pdf
Fueling A_B experiments with behavioral insights (1).pdfFueling A_B experiments with behavioral insights (1).pdf
Fueling A_B experiments with behavioral insights (1).pdf
 
Word Count for Writers: Examples of Word Counts for Sample Genres
Word Count for Writers: Examples of Word Counts for Sample GenresWord Count for Writers: Examples of Word Counts for Sample Genres
Word Count for Writers: Examples of Word Counts for Sample Genres
 
Master the Art of Digital Recruitment in Asia.pdf
Master the Art of Digital Recruitment in Asia.pdfMaster the Art of Digital Recruitment in Asia.pdf
Master the Art of Digital Recruitment in Asia.pdf
 
Common Culture: Paul Willis Symbolic Creativity
Common Culture: Paul Willis Symbolic CreativityCommon Culture: Paul Willis Symbolic Creativity
Common Culture: Paul Willis Symbolic Creativity
 
Forecast of Content Marketing through AI
Forecast of Content Marketing through AIForecast of Content Marketing through AI
Forecast of Content Marketing through AI
 
VIP Call Girls In Green Park 9654467111 Escorts Service
VIP Call Girls In Green Park 9654467111 Escorts ServiceVIP Call Girls In Green Park 9654467111 Escorts Service
VIP Call Girls In Green Park 9654467111 Escorts Service
 
Call Girls In Aerocity Delhi ❤️8860477959 Good Looking Escorts In 24/7 Delhi NCR
Call Girls In Aerocity Delhi ❤️8860477959 Good Looking Escorts In 24/7 Delhi NCRCall Girls In Aerocity Delhi ❤️8860477959 Good Looking Escorts In 24/7 Delhi NCR
Call Girls In Aerocity Delhi ❤️8860477959 Good Looking Escorts In 24/7 Delhi NCR
 
What are the 4 characteristics of CTAs that convert?
What are the 4 characteristics of CTAs that convert?What are the 4 characteristics of CTAs that convert?
What are the 4 characteristics of CTAs that convert?
 
Best Persuasive selling skills presentation.pptx
Best Persuasive selling skills  presentation.pptxBest Persuasive selling skills  presentation.pptx
Best Persuasive selling skills presentation.pptx
 
Mastering SEO in the Evolving AI-driven World
Mastering SEO in the Evolving AI-driven WorldMastering SEO in the Evolving AI-driven World
Mastering SEO in the Evolving AI-driven World
 
Call Girls in Lajpat Nagar Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Lajpat Nagar Delhi 💯Call Us 🔝8264348440🔝Call Girls in Lajpat Nagar Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Lajpat Nagar Delhi 💯Call Us 🔝8264348440🔝
 
Storyboards for my Final Major Project Video
Storyboards for my Final Major Project VideoStoryboards for my Final Major Project Video
Storyboards for my Final Major Project Video
 
The Impact of Digital Technologies
The Impact of Digital Technologies The Impact of Digital Technologies
The Impact of Digital Technologies
 

Understanding collaborative consumption in emerging economies: the case of Brazil

  • 1. Understanding collaborative consumption in emerging economies: the case of Brazil Francesca Hansstein | Shanghai University of Finance and Economics, Shanghai, China Fabián Echegaray| Market Analysis, Brazil Global Food Security and Sustainability Conference Beijing| September 4-7, 2016
  • 2. • Collaborative consumption (CC) refers to individual preferences to exchange, rent or borrow, give or obtain goods and services, rather than buy and own them. • through peer-to-peer networks or usage fees for access • in online and/or offline environments • Exs: car, bike, and home sharing, clothes, book and tools swaps or rentals, time-banks, coworking spaces, crowd-sourcing, etc. Background
  • 3. • CC is a key strategy towards sustainable consumption (Prothero et al. 2011; Botsman and Rogers 2011; Schor 2014) • it encourages higher efficiency in resource usage  longer product lifecycles • it reduces waste generation and natural resources depletion • it educates to address needs/wants by focusing on outcome generation, not product possession  dematerialize consumption Background
  • 4. • Very little empirical research • Most research covers highly developed nations • This paper aims at filling few gaps: • Combine theoretical model with empirical evidence • Research in a developing country (i.e. Brazil) • Understand what factors affect specific collaborative consumption practices Background
  • 5. CC in Brazil • 1/3 of all CC activities in Latin American • Consumer outreach of 14.5m individuals in major urban hubs • USD 265m worth in 2018 (Página 22, 2015) • Transportation, services to companies, and sharing physical spaces Background
  • 6. Conceptual Framework: Theory on Planned Behavior Red circles indicated the constructs we added to the original model
  • 7. The core TPB model • H1: Favorable interpretations of shared consumption in terms of their material and/or emotional effects will encourage individuals’ involvement with collaborative practices (ATTITUDE +) • H2: Social norms encouraging collaborative consumption will correlate with more favorable predispositions and enactment of shared consumption behaviors (SOCIAL NORMS +) • H3: Higher feelings of perceived control over the enactment of shared conducts will be conducive to a stronger adoption of collaborative behaviors (PBC +) Research Hypotheses
  • 8. The extended value-based model • H4: Individuals exhibiting greater green sensitivity will report more positive attitudes towards collaborative consumption (GREEN SENSITIVITY +) • H5: Stronger recognition of a pro-sociability and pro-community payoff (thereafter labeled ‘pro-social reasons’) in shared consumption will motivate individual’s involvement with collaborative consumption (PRO-SOCIAL PAYOFF +) • H6: Market reformist orientations will correlate with favorable predispositions towards shared consumption (MARKET REFORMIST ORIENTATION +) • H7: Inter-personal confidence will increase the intention to get involved in future collaborative consumption practices as well as behaviors (TRUST +) Research Hypotheses
  • 9. Socio-demographics • H8: Socio-demographics factors affect CC practices. In particular: • H8a: Females are more likely to engage in collaborative consumption behavior (GENDER) • H8b: Younger individuals will have a higher intention and behavioral record of engagement in shared consumption practices (AGE) • H8c: Individual involvement with collaborative consumption will increase education and income (EDUCATION and INCOME) Research Hypotheses
  • 10. • Survey data collected between January 18th and February 12th, 2015 • Target: Brazilians living in 11 metropolitan areas • Sampling: multi-stage probability selection criterion • Data collection method: face to face interview • Sample size: 905 cases of which about 20% (179 cases) were familiar with some type of collaborative consumption practices Data
  • 11. • The questionnaire was built on the basis of the TPB • Respondents were asked about awareness, ability to recall one or more examples of it, their direct experience, self-reported likelihood of adopting specific practices in the future and several attitudes and beliefs towards it • Each construct of the TPB was measured by a set of questions • Most of the questions required a 4 point Likert scale on their agreement or likelihood level towards several statement Questionnaire
  • 12. Have heard or read about CC Have engaged in forms of CC – past year Awareness levels and incidence of CC behaviors 7% 20% 79% 1% Sim Não NS/NR Yes No DK/NA
  • 13. CC in Brazil: awareness, usage and intent to use by type of goods/services 49 18 16 8 7 6 57 2 10 9 12 6 67 65 61 59 46 58 4346 Conhecidos Praticados Atrativos Livros Eletro- eletrônicos Roupas Brinquedos Troca ou venda de usados Aluguel de bicicletas Aluguel ou empréstimo de produtos Aluguel de carro ou carona Contratação coletiva de serviços Hospedagem Selling/exchanging used items Renting/sharing bikes Renting/riding car-rides Group hire of services Rent/Loan/Borrow products/tools Housing Awareness Actual usage Intent to use Books ClothesElectronics Toys (n=905) (n=179)
  • 14. Chi-square = 38.37 P-value = 0.012 RMSEA = 0.074 CFI = 0.906 SRMR = 0.045 * Red circles indicate the relationships that were statistically significant Structural Equation Model
  • 15. Construct General Bike Car Home Work Clothes Toy Service Book Crowdfund ing Electronics AT -.06 .57 -.11 (.55) 1.32** (.59) .63 (.49) -.56 (.50) 1.41*** (.54) -.23 (.52) .70 (.51) .25 (.55) .30 (.52) .49 (.50) SN .90*** (.27) .90*** (.27) .22 (.27) .48 (.30) .74*** (.25) .54** (.24) .90*** (.26) .77*** (.29) .54** (.28) .92*** (.25) 1.10*** (.29) PBC -.03 (.26) .62** (.26) .02 (.24) .20 (.27) .06 (.31) -.17 (.30) .23 (.34) -.30 (.29) -.28 (.28) .05 (.24) -.55* (.31) GS .29 (.33) -.19 (.39) -.60* (.31) .29 (.36) .49 (.33) .16 (.29) -.29 (.29) .38 (.33) .48 (.30) .21 (.34) .72** (.30) PS .57 (.58) 1.59*** (.47) .59 (.46) .23 (.45) .49 (.44) .01 (.49) -.22 (.43) -.09 (.48) .62 (.54) -.20 (.52) .09 (.49) MR -.20 (.41) -.88** (.34) -.25 (.32) -.36 (.33) -.26 (.31) -.65** (.33) .26 (.33) -.11 .(39) -.24 (.38) .13 (.39) -.08 (.37) T .03 (.32) .75* (.39) -.40 (.32) -.53 (.37) .40 (.37) .74*** (.27) .12 (.22) .66* (.35) .18 (.31) .04 (.32) .47 (.33) Income -.06 (.09) -.03 (.04) .04 (.10) .01 (.10) -.16 (.10) -.05 (.11) -.00 (.10) -.15 (0.15) .19* (.10) .13 (.09) -.13 (.09) Edu .16 (.23) .16 (.22) .22 (.22) .13 (.24) .56** (.24) -.05 (.23) -.12 (.22) .18 (.23) -.06 (.23) -.11 (.20) .17 (.25) Age -.18 (.19) -.33 (-21) .20 (.20) -.03 (.21) .02 (.19) -.08 (.20) -.37* (.20) -.16 (.20) -.57 (.22) .22 (.20) -.39* (.20) Gender -.16 (.34) -.47 (.34) .32 (.33) .07 (.32) -.12 (.35) .76** ( .34) .40 (.33) .06 (.37) -.03 (.31) -.25 (.35) -.35 (.36) Ordered Logit Regressions: betas, standard errors and significance level
  • 16. • CC is incipient among Brazilians (7%) but acceptability (intentions) is fairly high (~60%) and they foretell behavior (beta= 0.28) • Attitude and especially social norms are the most important predictors in explaining the intention to engage in CC • Market reformism, green sensitivity, pro-social reasons are likely to affect attitude towards sustainable consumption • Apart from attitude and intention to swap clothes, no particular differences exist among females and males • Socio-demographics were not significant Discussion
  • 17. CC seems to respond primarily • to value-based identity projects to address environmental issues, contest free-market, or build social capital • social legitimacy (social norms) and the sense of self-empowerment (PBC) are also a key elements when choosing collaborative consumption • Future research can explore collaborative consumption in other countries, i.e. China Discussion

Notas do Editor

  1. Insert a picture illustrating a season in your country.