Christian Rodil Navia
International College, Taiwan
E-mail: croisrodilnavia@gmail.com
Rushikesh Ulhas Khire
Providence University, Taiwan
E-mail: rukhire@pu.edu.tw
Maurice Lyver
National Taichung University of Science and Technology, Taiwan
E-mail: m.lyver@nutc.edu.tw
Submission: 3/20/2020
Revision: 5/13/2020
Accept: 7/3/2020
ABSTRACT
Collaborative
consumption (CC) refers to the shared use of products or services in order to
save costs and redistribute resources in a more sustainable way among the
different agents participating in sharing economies. With the rapid
popularity of CC in recent years, more and more academic research
has been carried out on CC, but research exploring the impact of personality
traits on consumer behavior is largely limited. To our best knowledge, existing
research fails to explore CC applied to the luxury apparel
context. Consequently, this study aims to
investigate the impact of consumer personality traits on their attitudes and intention
toward CC of luxury fashion products. This
study draws a framework based on the theory
of planned behavior (TPB) model introducing key personality traits,
particularly, materialism, fashion leadership, and need for uniqueness as CC
attitude and CC intention predictors. This research
uses PLS-SEM technique to analyze the
data collected through a questionnaire administered to middle-aged Spanish
women. The results indicate that fashion leadership had a positive influence on
attitude toward CC and CC intention. Secondly, we found that consumer
need for uniqueness significantly influenced attitude but
had no significant impact on intention. Materialism on the other hand did not
display a significant relationship with either CC attitude or intention. By
contrast, attitude towards CC was determined to have a strong positive
influence on CC intention. We believe that the
findings as well as the proposed
research model can be helpful to managers when developing CC based
business models and valuable to academics in
developing related theories.
Keywords: Fashion leadership; Luxury apparel goods; Materialism; Need for uniqueness.
1. INTRODUCTION
As a result of the emergence of
mobile technologies in recent years, business model
innovation has proliferated and this has led to the development of novel
consumption models (Hamari et al.,
2016). Consumers are
gradually moving away from the typical
traditional consumption approach to more collaborative
consumption forms where information flows in an omnidirectional
manner among all market participants and where the consumer rejects outright
ownership to gain product accessibility (Belk, 2014; Botsman
& Rogers, 2010; Bardhi & Eckhardt,
2012).
Although previous research has highlighted that
the shared use of resources has always existed in economies (Felson & Spaeth, 1978; Görög, 2018; Schor &
Fitzmaurice, 2015), the term Collaborative Consumption
(CC) remained an unstudied phenomenon until Felson
and Spaeth (1978) introduced the term based on
Hawley's (1950) theory of human ecology. Felson and Spaeth (1978, p. 614) define CC as ‘those events in which
one or more persons consume economic goods or services in the process of
engaging in joint activities with one or more others’. With the emergence
and diffusion of various technologies like the Internet, mobile telephony, and
wireless networks etc. during past few decades, CC conception has evolved and
become firmly technology-centered (Ertz et al., 2016). Notably, it was Botsman and Rogers
(2010, p. ix-xxii) who laid
the foundation for the modern view of CC in
their book, What's mine is yours: How
collaborative consumption is changing the way we live, in which they
define CC as:
…Traditional sharing, bartering, lending, trading, renting, gifting, and
swapping, redefined through technology and peer communities; [...] enabling
people to realize the enormous benefits of access to products and services over
ownership, and at the same time save money, space, and time; make new friends;
and become active citizens once again.
Flowing from this refined
definition, it is easy to recognize how CC-based business models can be applied
in various situations.
To date, the most obvious and recurring examples are limited
to car-sharing and house-sharing
varieties, however, their implementation is rapidly expanding
into more disparate businesses. The number
of areas
where the implementation of the CC model is gradually growing includes
industries that until just a few years ago followed the traditional consumption
model based on the transfer of ownership.
This is exactly the current
situation in the apparel industry. Very recently, the apparel industry
has experienced the emergence of e-commerce platforms that employ a CC business
model based on renting or swapping. Some popular examples of this include Casstle, Wardrobe and Rent the Runway. According to Benoit et al.
(2017), CC aims to reduce the risk derived from high costs or high liabilities.
Nevertheless, most of these rental platforms are currently oriented towards
accessible fashion and are not specific to luxury apparel.
There have been many previous
studies that focus on the causes, consequences and nature of applying the CC
model in certain other industries, such as transportation Bardhi
and Eckhardt (2012), Hwang and Griffiths (2017), and Schaefers et al.
(2015) and tourism Amaro and Andreu (2019),
Palos-Sánchez and Correia (2018), So et al.
(2018) and Tussyadiah (2015). Previous
research has also examined several other aspects of CC such as consumer
motivations, challenges, perceived benefits, and customer loyalty (Barnes &
Mattsson, 2016; Böcker & Meelen, 2017; Kim Et Al., 2015;
Santoso & Erdaka, 2015).
Moreover, a few recent studies such as Lang and
Armstrong (2018) have investigated the interrelationship between consumer
personality traits and their intention to rent/swap clothing among 431 US
consumers. However, the current academic
literature on sharing economies in the apparel industry is very limited and to
date no empirical research has
been published (to our knowledge) exploring personality traits and sharing
economies within the luxury apparel industry.
Personality traits according to Lang and Armstrong
(2018), are simply the inner characteristics of an individual that
distinguishes them from others. Previous research indicates that personality
traits affect consumer decision making in consuming particular products and
services (Raja & Malik, 2014; Lang & Armstrong, 2015). Therefore,
investigating impacts of personality traits on consumer behavior, especially in
the context of novel CC based business models, is critical for research. This
study attempts to fill this gap in the literature by
investigating the impacts of consumer personality traits on consumer attitudes
and intention towards CC of luxury apparel products.
Prior research indicates that the middle-aged population
in general possesses characteristics of both the younger and older age groups
because they are influenced by younger generations as well as the values and
morals of their parents and the older population (Gbadamosi,
2013). Middle-aged women have always been one of the key consumer segments of
luxury products despite the fact that today’s luxury brands also target younger
women in the age range of 20-30 (Saxena, 2009).
According to Gbadamosi
(2013), consumer needs and preferences typically change with age, thus it is
very likely that the impact of personality traits on consumer decision making
among middle-aged women may differ from the rest of the population. Hence, it
is worthwhile to investigate the impacts of personality traits on their CC
behavior. This leads to the main objective of this research, namely to investigate
the impacts of middle-aged women’s personality traits on their attitudes and
intention toward CC of luxury apparel goods.
In order to achieve this research goal, this
study proposes a research model on the basis of previous relevant research (Lang
& Armstrong, 2015). Data was collected from 123 Spanish middle-aged women
via a questionnaire survey and then analyzed with PLS-SEM approach to assess the
proposed hypotheses. Our results show fashion leadership and need for uniqueness
to be the most influential personality traits affecting middle-aged women’s behavior
toward CC of luxury apparel goods.
This
current study has a few contributions. First, it expands the boundaries of
current literature by investigating the influence of personality traits on CC
behavior in the context
of luxury apparel.
Second, this study focuses on middle-aged females given their importance to the
luxury apparel market. Finally, this research contributes to the literature by providing
managers insights into middle-aged women’s personality traits and subsequent
decision making considerations.
2.
LITERATURE
REVIEW AND CONCEPTUAL DEVELOPMENT
2.1.
Collaborative
consumption applied to luxury apparel
CC based business models are rapidly proliferating all
over the world, especially in North America and Western Europe. CC business models generally take
the form of swapping (e.g., Wardrobe, Listia or
Swooped), renting (e.g., CaaStle, Rent the Runway, Gwynnie Bee, Nuuly, Bag Romance,
Switch, Girl meets Dress, Panoply, L'escachotieres,
Un robe une soir, Sac de
Luxe, Chic by Choice or Ouh la lá)
or second hand markets (e.g., Wallapop, Vinted, Letgo or Chicfy).
Despite the high profile nature of the luxury fashion
industry and its significance in terms of revenues and turnovers, as well as
the overconsumption behaviors and waste generated by the
fashion industry, CC does not seem to have taken deep root in this market
unlike the other markets mentioned above. This can be partially explained by
the fact that consumers are more willing to share less personal objects or
services than the clothing or accessories we wear. According to research by
Nielsen (2014), while 43% of North Americans declared that they were willing to
share goods or services with other people, only 22% or approximately half of
them stated that they would be willing to share in cases where those objects
were clothing or accessories.
Even though CC based businesses in the clothing
industry seem to be lagging behind other industries, such as transportation,
food, etc., previous research has offered a few CC models in the clothing
industry. Park and Armstrong (2019) indicated
that CC has thus far appeared in 4 different forms: short-term rentals,
subscription-based rentals, swapping, and consignment.
However, in this present study, we will focus only on the first form,
i.e., CC through short-term rental services where a
repository or a large catalog of clothing and accessories is offered through a
mobile app and/or a web-based service, whereby consumers can obtain access to
wear these items in exchange for a rental fee, or on a subscription basis. Some
of the advantages that these rental platforms provide the consumer are the
sheer access they provide to a wider catalog of products and the opportunity to
wear a greater variety of garments.
The ultimate goal of CC is to increase the accessibility to consumers,
especially for those items, services or resources that entail high acquisition
costs, high maintenance costs or high liabilities. This is possible
due to a better redistribution of resources or better coordination of the acquisitions.
On the other hand, one of the explicit downsides of these online fashion
libraries is the need to renounce ownership of the products. Clearly, sharing
in this form is not altruistic because economic compensation is sought by the
suppliers (Belk, 2014; Hartl et al.,
2016).
Although CC has been presented in very different forms and markets,
there are some common bases. Botsman
and Rogers (2010) differentiated 4 basic principles inherent to CC: critical
mass, idling capacity, belief in the commons and trust between strangers. Later
literature focused on studying the influence of the two common components
introduced by Belk (2014): the temporary access nature or non-ownership aspect
of the CC models and the technology (internet) reliance aspect made possible by
the advent of Web 2.0.
In addition, it could be said that the non-ownership is a consequence of
the implementation of these new technologies. In other words, ICT development
facilitated consumers meeting their needs or gaining accessibility without the
need for outright ownership (Hwang & Griffiths, 2017). Similarly, the
proliferation of mobile application use allows all agents participating in the
market to have an immediate and continuous exchange of information (Bardhi & Eckhardt, 2012;
Belk, 2014; Möhlmann, 2015; Hamari et al., 2016).
Examples of
luxury apparel goods include special ceremonial
dress, which many consumers will not
wear after the event, clothing of a brand aimed at customers with high
purchasing power, above average quality level clothing, a watch, a jewel or a
purse. Additionally, these items tend not to be oriented towards large scale
consumption. Given that extant literature on CC has not yet been
extended into luxury apparel, this research takes the opportunity to assess the
impacts of consumer personality traits on their attitude and intention toward
CC of luxury apparel goods.
2.2.
Personality
traits
According to Rallapalli et al.
(1994), different personality traits have an influence on the ethical
predisposition of a consumer. In the same vein, Schiffman
and Kanuk (2007) argued that personality traits
affect consumers’ predisposition toward different marketing strategies. There have
been numerous authors who have studied different personality traits that
positively or negatively affect consumer attitude or
intention (Lindblom et al., 2018; Mainolfi, 2019).
However, it also should be noted that the impact of personality
traits can change according to either
the behavior in question, the behavioral context or other factors such as
culture (Davidson et al., 2018). Due to the lack of
previous study in the field of CC in the luxury apparel industry, we adopt the
personality traits presented by Lang and Armstrong (2018) who
investigated the impacts of need for uniqueness,
fashion leadership and materialism on American women’s adoption of clothing renting
and swapping.
The need for uniqueness or need for differentiation in a fashion context
is defined as “the need of pursuing of
differentness relative to others through the acquisition, utilization and
disposition of consumer goods” (Tian et al., 2001, p. 52). Lang and Armstrong
(2018) stated that need for uniqueness works as a key
driver that affects consumer clothing renting and swapping behavior.
Fashion leadership is defined as the need to be the first member of a
social group to know about the latest trend in the market and the first to
adopt it (Goldsmith et al., 1996; Gutman & Mills, 1982; Polegato
& Wall, 1980). Lang and Armstrong (2015)
determined that fashion leadership has a strong
positive impact on consumer clothing renting
and swapping behavior. Materialism refers to the importance that
consumers attach to their belongings.
The storing of these belongings is considered as a life goal for some
consumers (Richins & Dawson, 1992). Previous
fashion-related research shows that materialism values are positively related
to clothing involvement (Goldsmith et al., 2012) and intention to purchase
luxury products (Mainolfi, 2019). A possessive
consumer, on the other hand, prefers ownership over renting,
leasing, or borrowing Belk (1984), all of the
typical ways in which CC is implemented. In addition, Ozanne and Ballantine (2010) found that market
avoiders are consumers who are interested in sharing and hence possess the least
materialistic characteristics.
However, some studies including Lang and Armstrong
(2018) found that materialism has a negative influence on
consumer intention toward clothing renting and swapping. While most studies found
either a positive or a negative relationship between materialism and consumer
attitude and intention, other studies including Johnson et al. (2016) found no significant
relationships between materialism and intention toward the behavior in
question.
2.3.
Reconceptualization
and hypotheses
The theory of planned behavior (TPB) is commonly used to indicate the
factors that shape certain behaviors, especially in the consumer behavior field
(Taylor & Todd, 1995). The TPB is an improvement on the theory of reasoned
action (TRA) covering both individual and social factors (Ajzen,
1991).
However, in this study we have focused only
on the former. Lang and Armstrong (2018) built a
theoretical framework on the basis of TPB for investigating impacts of
consumer personality traits on their intention to
adopt clothing renting and swapping. As
mentioned earlier, this study draws its framework on the work of Lang and
Armstrong (2018) and extends it to luxury fashion apparel. Our
conceptual framework (Figure 1) explores
impacts of need for uniqueness, fashion leadership and
materialism on middle-aged women’s attitude and intention toward
CC of luxury apparel goods.
Figure 1: Research Framework
2.3.1. Need
for uniqueness
Need
for uniqueness was not studied in the primary literature on the factors that
affect consumer behavior towards CC but was included in studies of the sharing
economies in the fashion industry. This factor was introduced because consumers
use fashion to reaffirm their identity and to differentiate themselves from
other members of their community (Gentina et al.,
2014).
As
such, "differentiation" takes on more importance in the fashion
market than in any other market where the CC business model is applied. When
focusing on the luxury market, need for uniqueness refers to the user's
perception of the value of luxury brands as a social classification and as a
strengthening of personal image and social status (Wiedmann
et al., 2009).
Lang
and Armstrong (2018), in the clothing renting and swapping context, found that
need for uniqueness significantly affects consumer CC behavior. We believe that
through the use of CC, consumers have greater access to goods with high
intrinsic attributes that can satisfy their need for uniqueness. Therefore, the
following hypotheses are formulated:
·
H1a: Need
for uniqueness is positively related to consumer
attitude towards CC of luxury apparel goods.
·
H1b: Need
for uniqueness is positively related to consumer
intention towards CC of luxury apparel goods.
2.3.2. Fashion
leadership
Fashion leaders are those consumers who adopt a fashion at the earliest stages
of its market cycle and are therefore seen as creditable for spreading
awareness and creating diffusion of a style or trend (Wiedmann
et al., 2012; Shephard et al., 2014). Prior literature depicts that the
motivation of fashion leaders to purchase new fashion is related to social and
psychological factors that are linked with their expression of self-image. This
behavior is also influenced by various factors such as gender, age, social
status, occupation, personality, and behavioral expectations (Goldsmith et al.,
1991).
Kang and Park-Poaps (2010) found that fashion
leadership is associated with the utilitarian/hedonic motivations and the
innovativeness of consumers. Fashion leaders may also buy newly launched
fashion products due to the excitement of affordability and the enjoyment that
these products bring (Schrank & Gilmore, 1973).
Recent relevant
literature has proven that fashion leadership or need for fashion positively
influences the intention towards the collaborative economy in the general
apparel industry (Lang & Armstrong, 2015). Therefore, the following
hypotheses are formulated:
·
H2a: Fashion
leadership is positively related to consumer attitude
towards CC of luxury apparel goods.
·
H2b: Fashion
leadership is positively related to consumer intention
towards CC of luxury apparel goods.
2.3.3. Materialism
Materialism,
in general, depicts consumers' perspectives regarding the role of possessions
and their importance in their life (Lang & Armstrong, 2018).
The hoarding of such material possessions can be a life goal for certain people
(Richins & Dawson, 1992). Belk
(1984) distinguish 2 sub-dimensions
of materialism: possessiveness and non-generosity. He suggested that a
possessive person tends to prefer ownership over renting, leasing, or borrowing
which are some ways that determine collaborative
consumption.
Furthermore,
Ozanne and Ballantine (2010) obtained as a
result of their study that consumers willing to participate in sharing
activities have a low materialistic score. According to different authors,
materialism works as a deterrent that leads consumers to have a negative
attitude towards the use of collaborative economics (Moeller & Wittkowski, 2010; Lindblom et al.,
2018).
Akbar
et al. (2016, p. 8) stated that ‘[materialism]
is the key inhibitor for the acceptance of sharing business models’. In addition, Lang and
Armstrong (2018) determined that materialism has a negative effect on the use
of collaborative consumption in the fashion industry, either in the form of
clothing swapping or renting. Therefore, the following hypotheses are
formulated:
·
H3a: Materialism is negatively related to
consumer attitude towards CC of luxury apparel goods.
·
H3b: Materialism is negatively related to consumer
intention towards CC of luxury apparel goods.
As mentioned earlier,
the research model in the current research is based on Ajzen’s
(1991) TPB. When applying TPB, previous researchers found that consumer
attitude, subjective norms, and perceived behavioral control affect behavioral
intention. However, the focus of this study is the impact of personality traits
on consumer attitude and intention toward CC of luxury apparel goods therefore factors such as subjective norms, and
perceived behavioral control were not included in our research model. Therefore,
the following hypothesis is formulated:
·
H4: Consumer attitude towards CC is positively related
to their intention towards CC of luxury apparel goods.
3.1.
Data
collection process, questionnaire instrument and sample description
A pool of items was first developed from extant
literature followed by development of a preliminary questionnaire. The
questionnaire was then improved with the help of academic experts and
translated into Spanish and back-translated into English for testing
translational equivalence. A pilot survey was conducted
with the help of 25 middle-aged Spanish women. The questionnaire
items were further refined according to their feedback. The questionnaire was again
reviewed by academic experts.
Next, a main test with 200 surveys
was carried out on a one-to-one basis with middle-aged Spanish women. Of the
200 surveys conducted, 123 were retained in the final
sample with 43 being discarded because the
respondents did not fit the targeted age range of 35 to 65
years of age and a further 34 were removed because they
were incomplete.
The questionnaire was divided into three parts.
Definitions of key terms such as CC and luxury apparel goods along with
examples of each were provided in the first part of the questionnaire. The
second part of the questionnaire consisted of general information questions
identifying the demographic variables such as gender, age, level of
education, occupation, marital status and annual family income. Furthermore,
information was required about average use per month of social media, the
average number of online purchases per month and the level of familiarity with
mobile technologies. Finally, CC usage experience was also sought. Table
1 shows the respondents demographic details. The third part,
i.e., the main survey consisted of items corresponding
to the constructs used. A 5-point
Likert scale with 1 corresponding to strongly disagree, 2 to disagree, 3 to
neutral, 4 to agree and 5 to strongly agree was employed.
In line with previous research pertinent to luxury
apparel, this study focused only on female subjects. Moreover, previous
research indicates that women in the age group of 35-49 are one of the
prominent users of luxury apparel compared to younger consumers (DUBOIS &
LAURENTS, 1993). Therefore, the current study does not focus on young women,
but middle-aged women.
Table 1: Demographics
Variable |
Frequency |
Percentage (%) |
Gender Male Female |
- 123 |
- 100 |
Age 35-45 45-55 55-65 |
63 51 09 |
51.21 41.46 07.32 |
Education Below Baccalaureate Baccalaureate Vocational training University graduate |
29 38 26 30 |
23.58 30.89 21.13 24.39 |
Occupation Student Unemployed Employed |
10 05 108 |
08.13 04.06 87.80 |
Marital status Single Married Co-habiting Divorced/Separated/Widower |
10 82 05 26 |
08.13 66.67 04.06 21.13 |
Annual income <20000 <35000 <60000 Rather not to say |
20 27 20 56 |
16.26 21.95 16.26 45.53 |
Average use of social
media/week <5 hrs. <20 hrs. >20 hrs. Not on social media |
56 42 04 21 |
45.53 34.14 03.25 17.07 |
Mobile technology familiarity No familiarity <3 years <5 years >5 years |
35 14 25 49 |
28.45 11.38 20.33 39.83 |
CC
previous experience Car/food/apartment sharing Multimedia repositories Second-hand market No
experience |
24 04 06 89 |
19.51 03.25 04.87 72.36 |
The data were
collected from a single questionnaire therefore it was necessary to test common
method variance. In doing so, this study uses popular approaches such as
co-variance method, and PLS-SEM specific full collinearity assessment approach.
According to previous relevant research (Bagozzi et
al., 1991; Tehseen et al., 2017), the threat
of common method variance is existent when inter-construct coefficients
exceed a value of 0.9. All of the inter-construct coefficients are lower than
0.9 (Table 3). Further, this study follows Kock
(2015) regarding the assessment of common method bias and full collinearity in
PLS-SEM at the factor level. Accordingly, variance inflection factors (VIF) of
all latent variables were generated using SmartPLS version
3.3.2. VIF values were lower than the cut off value of 3.3 as suggested by Kock (2015) indicating that the model is not affected by
multi-collinearity or common method variance.
The hypotheses were tested employing PLS-SEM
analysis. Prior to testing the proposed
hypotheses, a confirmatory factor analysis (CFA) was performed for testing
reliability and validity of the measurement instrument. The results tabulated
in Table 2 indicate that item factor loadings, composite reliability (CR), and
Average variance extracted (AVE) exceed thresholds 0.5, 0.7 and 0.5,
respectively while table 3 shows that the square root of AVE is higher than
inter-construct correlations. Overall, it satisfies both the reliability and
validity criteria recommended in the previous research (FORNELL & LARCKER, 1981). The hypothesized
relationships in the proposed research framework were estimated through PLS based regression analysis using SmartPLS software. Bootstrap re-sampling
method with a setting of 600 re-samples was used to examine the significance of
the paths within the structural model. The structural model is presented below in
Figure 2.
Table 2:
Construct reliability and validity
Construct |
Item description |
Factor loading |
Materialism (MAT) (CR=0.88;
AVE=0.66) (Lang and Armstrong, 2018) |
||
MAT1 |
I admire people who wear luxurious items, especially
clothes or accessories. |
0.86 |
MAT2 |
The things I wear say a lot about how well I’m doing in
life. |
0.85 |
MAT3 |
I like to wear things that impress people. |
0.79 |
MAT4 |
I want a lot of luxury in my life |
0.73 |
Fashion leadership (FLP) (CR=0.94;
AVE=0.84) (Lang and Armstrong, 2018) |
||
FLP1 |
It is important for me to be a
fashion leader. |
0.91 |
FLP2 |
I am usually the first one to know the latest fashion
trends. |
0.94 |
FLP3 |
I am the first to try new
fashion therefore, many people regard me as a fashion leader. |
0.90 |
Need for uniqueness (NFU)(CR=0.93;AVE=0.81) (Bian and Forsythe, 2012); (Lang and Armstrong, 2018) |
||
NFU1 |
I often lookout for new
products or brands that add-up to my personal uniqueness. |
0.86 |
NFU2 |
I dislike brands or products
that are purchased by everyone. |
0.93 |
NFU3 |
I often try to avoid products
or brands that are bought by general population. |
0.91 |
Attitude (ATT) (CR=0.94; AVE=0.84) (Sung et al., 2018); (Hamari et al., 2016) |
||
ATT1 |
All things considered, I find
participating in CC for luxury clothing and accessories to be a wise move. |
0.90 |
ATT2 |
All things considered, I think
participating in CC for luxury clothing and accessories to be a wise move. |
0.94 |
ATT3 |
All things considered, I find
CC is a positive thing. |
0.91 |
Intention to CC (INT) (CR=0.94; AVE=0.89) (Barnes and Mattson, 2017); (Hamari et al., 2016) |
||
INT1 |
In the future, I will consider
to use CC to acquire luxury clothing or accessories. |
0.95 |
INT2 |
In the future, I intend to use
CC to acquire luxury clothing or accessories. |
0.93 |
Notes: AVE-Average variance extracted, CR-Composite
reliability
Table
3: Inter-construct
correlations
|
Mean |
SD |
Cronbach's
alpha |
AVE |
√AVE |
MAT |
FLP |
NFU |
ATT |
INT |
MAT |
2.34 |
1.33 |
0.83 |
0.66 |
0.81 |
1.00 |
|
|
|
|
FLP |
1.77 |
1.10 |
0.90 |
0.84 |
0.91 |
0.62 |
1.00 |
|
|
|
NFU |
2.90 |
1.26 |
0.88 |
0.81 |
0.90 |
0.60 |
0.59 |
1.00 |
|
|
ATT |
2.72 |
1.29 |
0.91 |
0.84 |
0.91 |
0.47 |
0.52 |
0.59 |
1.00 |
|
INT |
2.19 |
1.26 |
0.87 |
0.89 |
0.94 |
0.51 |
0.64 |
0.58 |
0.75 |
1.00 |
Notes: AVE-Average variance extracted, SD-Standard
deviation, MAT-Materialism,
FLP-Fashion leadership, NFU-Need for
uniqueness, ATT-Attitude, INT-Intention
Results
clearly show that personality traits such as
consumers need for uniqueness and fashion leadership are positively related to
consumer attitude toward CC of luxury apparel goods which in turn positively affects
consumer intention toward CC of luxury apparel goods. It can also be seen from
Figure 2 that fashion leadership directly and meaningfully impacts consumer
intentions toward CC of luxury apparel goods. Interestingly, consumer
materialism has neither a significant impact on consumer attitude nor intention.
Finally, need for uniqueness was found to have no significant impact on
consumer intention toward CC of luxury apparel goods. With this, hypotheses H1a, H2a, H2b and H4 were supported (solid line) while hypotheses H1b, H3a and H3b rejected (dotted line).
Figure
2: Structural model
4. DISCUSSION
With the advances in mobile technology, CC based
business models have gained rapid popularity. Despite the rapid proliferation
of fashion clothing libraries, extant literature on CC pertaining to luxury
apparel fashion goods is very limited. Previous research fails to examine CC in
middle-aged women. In order to understand the impacts of middle-aged women’s
personality traits on their attitude and intention toward CC of luxury apparel
goods, this research develops a research model, collects data through
questionnaire survey and analyzes hypothesized relationships using PLS-SEM approach.
The results indicate
that need for uniqueness positively affects attitudes but not
intention toward CC. However, we found an indirect
meaningful effect of need for uniqueness on intention toward
CC. This result is partially consistent with previous research (Lang
& Armstrong, 2018; Asshidin et al., 2016). This
finding indicates that middle-aged women having a higher
level of need for uniqueness are more inclined towards CC of luxury apparel goods. This
is perhaps because they are likely to be disinterested in brands or products
that are purchased by the masses so CC of luxury apparel goods enables them to
stand-out from the crowd. Another probable reason is their attempt to maintain their social status
for which differentiation is necessary.
We found fashion leadership to be the most critical
personality trait affecting both consumer attitude and intention toward CC of
luxury apparel goods. This
result was consistent with Lang and Armstrong (2015). This finding reinforces
that consumers with high fashion leadership are the first to use new luxury apparel goods. In general, ‘fashion-oriented’ consumers are seen as
consumers who are open to new ideas, have a higher willingness to accept new
things and thus play a key role in fashion diffusion (Lang & Armstrong,
2015; 2018). Hansen (2017) stated that middle-aged women embrace recent fashion
trends in order to have a modern, professional and classy appearance therefore
they are likely to play a leading role in accepting new trends in fashion apparel.
The results of the
study further indicate that the relationships between materialism and both attitude
and intention are not significant. Recent consumer behavior research also found
no significant relationship between materialism and consumer sharing intention
(Helm & Subramaniam, 2019). Moreover, previous
research pertinent to consumer apparel also offers a consistent finding (JOHNSON
et al., 2016). However, our finding is inconsistent with Lang and Armstrong
(2018) and Lindblom et al. (2018).
Our result indicates
that materialistic consumers do not yet deem CC as either favorable or
unfavorable in terms of luxury apparel goods. This is perhaps because of the
contemporary status of CC based business models, lack of consumer curiosity in
CC among middle-aged women and their unwillingness to forfeit transfer of
ownership. It also should be noted that the behavioral outcome associated with
consumer materialism varies across cultures despite being one of the universal
personality traits of consumers (Davidson et al., 2018).
5.1.
Research
conclusions
The primary objective of this study was to
investigate impacts of personality traits on consumer attitude and intention
toward CC of luxury apparel goods among middle-aged women. In order to address
the research objective a research framework hypothesizing logical relationships
was proposed. Further, data collected through a questionnaire survey was
analyzed with PLS-SEM technique. Since it significantly affected both consumer
attitude and intention toward CC, fashion leadership was found to be the most
critical personality trait followed by consumer need for uniqueness.
Consumer materialism was found to have no
significant impact on either consumer attitude or intention toward CC of luxury
apparel goods. Consumer attitude was found to have a significant direct impact
on consumer intention toward CC. The results suggest that CC fashion marketers need to
concentrate on critical personality traits such as fashion leadership while
developing strategies for the middle-aged female segment of the market. The findings of this
study should be used with caution because some personality traits such as materialism
are subjective and can be affected by different age groups and cultures.
5.2.
Research
implications
This study has several managerial implications. Considering the importance of key personality
traits such as fashion leadership and need for uniqueness, managers should
design business models that are capable of attracting the attention of the
appropriate target consumer. This would avoid wasting resources on marketing
strategies that attempt to attract customers having no inclination towards CC
of luxury apparel goods. In other words, CC fashion outlets and advertisers need to
understand the exact personality traits that impact intention towards CC usage
among their various target markets. As well as this, industry players might be
well served if they focus their efforts not just directly on intention towards
CC but rather on the broader attitudes toward CC usage amongst their potential
customers.
The study concludes that the most important
factor to take into account when applying CC in an online rental model is fashion leadership. One of the greatest added values
that such a platform should provide is access to the largest possible number of
catalog items. These items should also comprise of the latest luxury fashion
offerings due to the influence of fashion leadership on attitude and intention.
In addition, this work also has academic
implications because it generates a starting point in the study of CC in the luxury
fashion context. We delve into the study of different personality traits that
allow us to predict the intention towards use and the attitude towards CC.
5.3.
Research
limitations and future scope
It should be noted that this current study is not
without limitations. First, this study assesses the impact of only three
personality traits: materialism, need for uniqueness and fashion leadership.
Future work should consider other types of consumer personality traits for more
comprehensive in-depth research. It is also recommended to explore social and
technology traits and their impacts on CC. Second, the current study only
investigates behavioral intention, but future research can explore actual
behavior. Finally, this study collects data exclusively from a
single country. It would be valuable to perform comparative
research across several populations.
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