The paper Research of personalisation in online shopping: Literature review and research model studies personalisation at scale in the field of ecommerce, which has changed constantly in recent years due to the advancement of technology. The main purpose of this research was to explore the attitudes of five personality traits toward proactive and reactive mechanisms of personalisation in the field of online shopping. Đề tài Hoàn thiện công tác quản trị nhân sự tại Công ty TNHH Mộc Khải Tuyên được nghiên cứu nhằm giúp công ty TNHH Mộc Khải Tuyên làm rõ được thực trạng công tác quản trị nhân sự trong công ty như thế nào từ đó đề ra các giải pháp giúp công ty hoàn thiện công tác quản trị nhân sự tốt hơn trong thời gian tới.
Trang 1RESEARCH OF PERSONALISATION IN ONLINE SHOPPING:
LITERATURE REVIEW AND RESEARCH MODEL
Newcastle University
Nguyen Thi Hong Van
Academy of Finance
Nguyen Dieu Thai
Foreign Trade University
ABSTRACT: This paper studies personalisation at scale in the field of ecommerce, which has changed
constantly in recent years due to the advancement of technology The main purpose of this research was to
explore the attitudes of five personality traits toward proactive and reactive mechanisms of personalisation
in the field of online shopping Additionally, the potential mediation effect of personalisation mechanism on
purchase intention of different personality traits was also expected In sum, personalisation, especially the
new proactive personalisation with predictive ability, is future of marketing.
Key words: personalisation, ecommerce, online shopping, five personality traits
INTRODUCTION
Due to the increasing diversity of buying options from a variety of sellers, it has become more
and more challenging for brands to convince customers to choose and stick to their products or
services (McShane et al., 2017) Such intense competition on the market urges companies to adjust
their marketing approach The questions “How to sell?” or “How to increase sales” are no longer
exist; instead, businesses should pay attention to creating value to satisfy customers’ needs and
enhance customers engagement to the brands (Kotler and Armstrong 2017) As an emerging trend
in recent years, personalisation has proven itself as an effective strategy for the customer-centric
marketing orientation (Davis 2019) Also known as one-to-one marketing, personalisation refers to
“the implementation of a strategy by which companies deliver individualized content to recipients
through data collection, analysis, and the use of automation technology” (Emarsys 2017)
In this digital and technological era, the rising of smart devices such as laptops, smartphones
and tablets, and wearable devices like smartwatches has completely changed the retailing industry
Online shopping has increased significantly as a result Focusing on e-commerce environment,
this study evaluates the attitude of different personalities toward two mechanisms: Reactive
personalisation and Proactive personalisation (Zhang and Sundar 2019) The Big Five personality
traits model (Costa and McCrae 1992) is used to reflect how each individual is associated with
these methods of personalisation The main focus of this research is to address the following
research question:
Trang 2How do different personality traits react to different personalisation mechanisms?
How do different personalisation mechanisms affect the purchase intention of different
personality traits.
LITERATURE REVIEW AND RESEARCH MODEL
Personalisation in marketing was derived from the idea of customer-focused approach based
on customer preference Before becoming a phenomenon in marketing these days, the art of
personalisation has been adopted and mastered by luxury brands with their tailored design items,
buying experience and customer care (Tungate 2009) But those high-end commodities are not for
the majority In fact, not only the wealthy, but each individual, no matter from what social class or
income, also prefers and is more likely to be persuaded by the experience uniquely designed for
them (Walters 2015) That is why marketers are trying is to adapt the personalised strategy from
luxury brands and apply it to the mass customers
Personalisation in modern marketing is separated from customisation Although both
personalisation and customisation aim to create a tailored experience to match a single user’s
needs or interests, the approaches of each method are different Personalisation is achieved when
companies tailor their products or services customer preferences, based on collecting data and
observing previous behaviours of online users; customisation, on the other hand, is achieved when
a user manually specifies the changes should be made for his/her preferred experience (Sundar and
Marathe 2010) Personalisation allows brands to deliver the right products to the right people, at
the right time, while customisation focuses on manufacturing, customising products and services
to fulfil the needs of specific customer groups Because of these superiorities, personalisation can
be seen as smarter but requires far more subtlety and strategic thinking than customisation.
Reactive Personalisation and Proactive Personalisation
Reactive personalisation is generated from users’ explicit requests for personalised suggestions,
it captures already existing knowledge about consumer’s preferences and display these preferences
back to them without any new insights or potential offerings (Tuzhilin 2009) Customers are the
ones who provide information on their preferences and activate the personalisation option The
system will not expose any recommendation until the users start the search for an item Customers
still get the tailored experience based on their background, preceding actions as well as the selected
search criteria (such as price range, category, colour, size) and their feedback on similar items
(Zhang and Sundar 2019)
Proactive personalisation refers to the prediction of customers’ needs or tastes based on
analysing user preferences and online actions (Zhang and Sundar 2019) The personalised content
will proactively, automatically display or will be sent at the optimal time for an individual This
mechanism of personalisation mainly depends on collecting passive digital footprint, which
involves synthesizing user data, implicit feedbacks and observing user behaviours (Chen and
Sundar 2018) Rather than requiring user interaction to generate personalised requests, the system
studies customer needs and interest, then suggests the tailored offers or recommendations at an
appropriate moment or at the right time when needs arise Further, the system can predict the
products or services that customers might be interested in, although they might not even realize
whether they actually need those or not In fact, while reactive personalisation has become quite
Trang 3popular and many companies have been able to employ it; proactive personalisation with the
distinctive ‘predictive feature’, has newly arisen, and only few brands are moving to it (Jha 2019)
Take Starbucks for example, by proactively recording users’ data including their favourite coffee,
their most frequently purchasing timeframe, and even their location, the Starbucks application
automatically updates individualised recommendations and offers, or display a notification
inviting customers to visit the store if they are close to any Starbucks’ location (Taylor 2016) In
the field of music streaming, Spotify has become the most popular subscription service (Statista
2020) thanks to its predictive personalisation In sum, reactive personalisation brings less privacy
concern while proactive provides better personalised experience However, to choose between
enjoying tailored buying experience and controlling personal information privacy, it depends on
individual personality
Big Five personality traits
Consumer personality has been proven to influence on buying behaviour (Aydın, 2018)
People with different personalities would have different motivations to shop and different barriers
to their buying enjoyment (Goldsmith, 2016) In this thesis, the big-five model was used to study
perspectives of different personalities on proactive and reactive personalisation.
The big-five model, which characterizes a human in terms of thoughts, feelings, and actions, is
recognized as the Standard paradigm in research about the personality and trait theory (Tuu 2017)
The model consists of five dimensions to describe personality: neuroticism, conscientiousness,
agreeableness, extraversion, and openness
Neuroticism is related to negative emotions such as anxiety, irritability, psychological
depression, fear and instability (Costa and McCrae 1992) High scores on neuroticism are
“defensive response” to threat (DeYoung 2015) and more sensitive to hazardous situations
(Chauvin et al., 2007), which means the neuroticism might be more worried about their personal
data being revealed to a party/organisation without their awareness Despite that, neuroticism is
also described as being unstable, easily affected by environment stimuli (Swickert et al., 2010), as
the results, this trait has been found to be positively correlated impulsive buying (Shahjehan and
Saifullah 2012) Thus, personalisation, in whichever mechanism, as long as it provides valuable
offers in a sophisticated delivery method, can positively trigger neurotic consumers.
Conscientiousness refers to self-discipline, ethical behaviour, dependability and precaution
(Costa and McCrae 1992) Further, consumers with conscientiousness characteristic express the
high tendency of future-oriented, which means they focus more on long term goals rather than
short term temptation (DeYoung 2015), hence predictive personalisation with various appealing
offers might not attract them Not only that, due to the cautious characteristic, conscientiousness
individuals are more likely to avoid risky situations Those who get high score on conscientiousness
would consider privacy invasion as unethical and perilous, hence, they might be against data
collection without consent and advocate information security measures.
Anyway, if they are provided with a privacy-safe solution, or at least they can have control
over how information is handled, worry about data security might be mitigated (Sutanto et al.,
2013) That is the reason to expect that, conscientiousness is positively associated with Reactive
personalisation.
Trang 4Agreeableness reflects to an individual’s level of empathy, trusting, generosity, and flexibility
(Costa and McCrae 1992) Generally, agreeableness relates to positive emotions; thus, agreeable
people have the tendency to experience affective attributes more positively Guido et al (2015)
specifies the positive connection between agreeableness and hedonic shopping values, which
suggests that the agreeableness might enjoy the tailored service and convenient shopping journey
Nevertheless, individuals having high score in agreeableness appreciate proper social
behaviours and avoid deviant actions (Chauvin et al., 2007) They might consider companies’ data
harvesting without users’ consent, for whatever purposes, as an inappropriate activity.
Extraversion involves venturesome affiliation, positive affectivity, optimism, ambition,
sociability, activity, and excitement-seeking (Costa and McCrae 1992) Due to these characteristics,
the extraversion individuals yearn for exploring new experiences and seeking reward With regard
to privacy concern, extraversion has been tested as being negatively associated with privacy
concern (Bansal et al., 2016); and on the other hand, this trait has been proven to be positively
associated with impulse purchasing (Badgaiyan and Verma 2014) The extraversion, thus, can be
willing to embrace both personalisation mechanisms, as long as he/she finds them beneficial
Openness characterized the tendency of curiosity, creativity, innovation and receptivity to new
ideas Thus, customers with dominant trait of openness are more curious about new experiences
and tent to quickly adopt new trends or products Badgaiyan and Verma (2014) indicated that such
individuals are likely to be more impulsive in buying behaviour Hence it is proposed that:
Mediating role of personalisation mechanisms
Purchase intention is the indicator that is widely investigated in business and marketing research
(e.g Pappas, 2018; Martins et al., 2019), because after all, one of the main purposes of marketing
is to generate profit by driving consumer’s willingness to buy Previous studies found the positive
impact of personalisation on purchase intention (e.g Bues et al., 2017; Li & Liu, 2017) Besides,
association between personality traits and buying behaviour was also investigated (e.g Bosnjak
et al., 2007; Goldsmith, 2016) Therefore, this research would examine whether personalisation
mechanisms affect purchase intention of different personalities based on mediation model; in
other words, exploring the potential mediating role of different personalisation mechanisms in the
relationship between personality traits and purchase intention
According to Baron and Kenny’s (1986) mediation model, there are three conditions should
be established: (1) the independent variable must significantly influence the mediator; (2) the
independent variable must significantly influence the dependent variable; (3) the mediator must
significantly influence the dependent variable (Baron and Kenny 1986) The model for mediation
effect of this study is described as below:
Trang 5Figure 1: Mediation model
The conceptual framework is developed as below:
Figure 2: Conceptual framework
Table 1: Summary of hypotheses in the research
Trang 6Aiming to investigate (1) whether online shoppers with different traits react differently with
two personalisation mechanisms, and (2) whether reactive or proactive personalisation have more
effects on buying intention of different personalities, positivism was chosen as the main philosophy
for this research.
Positivism is one of the two classical philosophical schools of scientific research (Melnikovas
2018), the other is Interpretivism Positivism reflects the view of studying consumers and marketing
phenomena in natural sciences stance, using deductive reasoning for theory testing, while interpretivism
is associated with inductive approach for theory building (Saunders et al., 2019) If some theories
exist, applying deductive reasoning would be most appropriate (Hinkin et al., 1997) Thus, positivism
philosophy with deductive approach is compatible with this research where existing theories about (1)
big five personality traits and their buying behaviours, and (2) personalisation mechanisms and the
choice between the benefits from individually tailored service and concerns about data privacy
CONCLUSION
Personalisation is an inevitable part of the modern customer-centric marketing, it has
become more and more popular and has evolved more and more sophisticatedly From providing
tailored experiences based on customers’ intentional submission of information and preference
(reactive personalisation), technology has enable the ability to collect data trails that internet user
unintentionally reveal to establish the higher level of individualisation (proactive personalisation)
Consumers value highly-personalised experience, but it often goes with higher concern about
privacy That is why this research looked into five representative personality traits (Costa and
McCrae 1992) to explore how they would perceive reactive and proactive mechanisms of
personalisation Additionally, it examines the potential effect of each mechanism on the purchase
intention of different personalities A quantitative research in Vietnamese e-commerce industry
using questionnaire survey method and statistical analysis via SEM was adopted Despite not
successful in supporting all proposed hypotheses, the findings still brought out meaningful insights.
In conclusion, personalisation, especially the new proactive personalisation with predictive
ability, is future of marketing (Jha 2019) While in practice, this mechanism has started to seep
into some leading firms for a couple of years; in academic field, there is not much literature about
it That is why further studying on this topic is necessary.
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