Factors Affecting Skincare Purchase Intention During E-Commerce Live Streaming
Factors Affecting Skincare Purchase Intention During E-Commerce Live Streaming
1 INTRODUCTION
E-commerce has witnessed significant growth in Indonesia and is now widely
recognized as an integral part of customers' daily lives. Due to advancements in
technology and the impact of the Covid-19 pandemic, which restricted physical
interactions, customers have increasingly shifted towards digital platforms for their
shopping needs. To enhance the shopping experience, many brands are leveraging Key
Opinion Leaders (KOLs) in their live shopping events. KOLs hold influence over
purchasing decisions by utilizing their personal qualities and informal networks to sway
customers' opinions or actions. McKinsey predicts a rise in live shopping collaborations
with micro- and nano-influencers, who maintain close relationships with their
communities, offer affordability, and boast high engagement rates and credibility
(Solano, 2022).
Customers now feel more comfortable purchasing beauty products online, including
those that typically require trial and error. Online retailers face the challenge of
replicating the tactile experience of "touch-and-feel" in the virtual realm. However,
technology and the influence of social media have mitigated this challenge. E-
commerce has evolved beyond simple transactions, offering customers extensive
content before finalizing their purchases. Live streaming in e-commerce, particularly
in the beauty industry, allows live streamers to interact with viewers, sharing their
impressions of products and providing detailed real-time information about production,
usage instructions, and more (Wongkitrungrueng, 2020). The authenticity, visibility,
and interactivity of live broadcasts bring customers closer to freshly produced goods,
both in terms of space and time. Consequently, it is intriguing to examine how these
features of live streaming impact customers' intention to purchase products.
The potential of live shopping in the beauty industry lies in the intimate engagement
and product immersion it offers. The channels used by customers and brands are rapidly
evolving, with significant value at stake (Conferwith, 2022). However, live shopping
has not yet become the primary platform for purchasing beauty products, as 56% of
Indonesian customers have made purchases through live shopping (Ipsos, 2022). This
indicates that despite their growing popularity, live streaming features require further
investigation in e-commerce research to ensure their sustainable growth. Preliminary
research shows that 86.8% of respondents do not consider live shopping as their first
choice for purchasing skincare products, as they require more deliberation before
making beauty product purchases on live streaming platforms.
With numerous skincare products flooding the market and an abundance of
advertisements promising flawless complexions, potential customers often feel
overwhelmed. Additionally, customers face difficulties in identifying trustworthy
skincare sellers on online platforms, as there are numerous accounts with limited
information. This hesitation in establishing trust and value among Indonesian
customers, particularly when purchasing skincare products online, creates challenges.
If a transaction takes place during a live streaming session on an e-commerce platform
and the customer encounters fraudulent sellers with no resolution, they may
subsequently hold the e-commerce platform accountable for neglecting their rights.
However, the influence of live broadcast features on customers' purchase intentions for
fresh products, through perceived value and trust, remains unclear. Therefore, this
research aims to analyse the factors that can build value and trust in customers,
influencing their intention to buy skincare products through live streaming e-
commerce.
Factors Affecting Skincare Purchase Intention During 49
2 LITERATURE REVIEW
In conducting a comprehensive literature review, it is imperative to explore the state-
of-the-art in the field to accentuate the novelty and significance of one's research. A
meticulous examination of existing scholarly works and research findings serves as the
foundation for identifying the gaps in current knowledge.
2.1 E-Commerce
E-commerce, also referred to as electronic commerce or e-business, is the exchange of
goods and services via electronic communications. Through online retailers and
marketplaces, ecommerce has developed to make it simpler to find and buy products.
Through a simple and straightforward product display, direct broadcast of e-commerce
enables users to truly comprehend and master information about a product or brand (Su,
2019).
The term "live streaming" describes the features and functions that enable in-the-
moment communication by heavily utilizing text, sound, and image. Additionally, live
streaming enables the delivery of reliable information to customers from a variety of
perspectives, enabling them to clearly evaluate the performance of products. (Guo et
al., 2021). Live streaming e-commerce can therefore promote a more interactive, real,
and visual shopping experience, attracting more potential customers and increasing the
customer's propensity to purchase (M. Li et al., 2022).
Key Opinion Leader (KOL) was generally defined as the small group of individuals
with significant influence in a particular field (Godey et al., 2016). This topic will
typically be related to the brand's products in some way, or at the very least, be
interesting to the types of consumers who might be interested in those products (Werner
Geyser, 2022). To capitalize on their influence and reach a larger audience, many
brands decide to work with KOLs to gain the awareness of their product which will be
converted into customer’s needs.
In the context of a live streaming, perceived value can be defined as the general
perception and assessment of the goods or services by viewers based on their prior
subjective impressions of the product during the live broadcast (Yin & Qiu, 2021).
Meanwhile, (Jones et al., 2006) also proposed that perceived value is divided into utility
and hedonic value.
Research conducted by (Dr. Ghulam Rasool Lakhan et al., 2021) concluded that key
opinion leaders positively influence customer’s value which divided into perceived
functional value and perceived emotional value. Added by another research that shows
homogeneity in key opinion leaders could influence the perceived emotional value
(Zhou & Tong, 2022) such as pleasure emotion, arousal emotion, emotional trust, and
admiration emotion (Meng et al., 2021). The proposed hypothesis is as follows:
H3: Key Opinion Leader’s Presence has positive influence on Skincare
Perceived Value.
Fig. 1. Conceptual Framework (Song, et al., 2022; Wu & Huang., 2023; Su.,2019)
3 RESEARCH METHODOLOGY
The research begins with identification of a problem regarding the low conversion rate
of online shopping method that is still occurred in Indonesia. Regarding the skincare
industries, there is still a hesitation in creating a purchase intention within Indonesian
market through online platform. Through the problem, this research aims to examine
the influencing factor of live streaming commerce could penetrate the perceived value
and trust in Indonesian market to reach the skincare purchase intention. This research
is strengthened with literature review that is conducted after problem identification to
discuss and compare from prior studies and papers. Then, hypothesis development is
presented, where variables are defined and examined along with the theories and
framework that support them. After constructing the hypotheses, the data collection
will be provided by using several methods and continued with the analysis also
discussion. The data collection will be done by conducting the interview first then
followed by spreading the survey to desired respondent since the interview result could
affect the development of questionnaire. Due to the integration of the advantages of
both methods, mixed methods can help you obtain a more comprehensive picture than
a standalone quantitative or qualitative study (Tegan George, 2021; van Teijlingen &
Hundley, 2002).
Factors Affecting Skincare Purchase Intention During 53
Therefore, this research will use mixed method by combining quantitative and
qualitative in which conducting survey is meant for the quantitative research, completed
with in-depth interview regarding KOL and e-commerce live streaming as the
qualitative research to add the contextualization regarding richer detail. This semi-
structured interview includes several questions as the main framework for gaining the
pertinent insight. Additional follow-up questions regarding the study may be asked as
the interview goes on to elicit more information from the informant. It has previously
been recommended that qualitative studies require a minimum sample size of at least
12 to reach data saturation (Vasileiou et al., 2018), therefore minimum of 12
respondents are the desired response rate. In response to the informant's statement,
follow-up questions are naturally asked to give the informant a less biased
understanding. Lastly, the interview will be done in Bahasa Indonesia to minimize
misinterpretation on informants’ answers. The list of questions is stated below.
No Questions
Could you please share your experience using the Live Shopping feature on Tokopedia
1 or Shopee?
In your opinion, what factors motivate you to use the Live Shopping feature?
2
3 How was your experience purchasing skincare products through Live Shopping?
54 R. Avaryl and N. Kusumawati
Do you believe the presence of Key Opinion Leaders (KOLs) can influence someone
5 to shop through Live Shopping?
What specific characteristics do you expect KOLs to have in order to influence your
6 skincare purchase during Live Streaming?
Do you think trust in E-Commerce platforms or KOLs is necessary before having the
7 intention to buy skincare products during live streaming?
The interview will be analyzed by using automated coding using NVivo application to
avoid misinterpretation and will be validated through data triangulation from
netnography, interview, and literature review. Meanwhile, a questionnaire with a list of
questions and spaces for respondents' responses will be used. The Google Form
platform will be used in this study's questionnaires because it makes it simpler for
researchers to find relevant responses and can be completed quickly, especially during
semi-quarantined periods. The survey will ask multiple-choice questions about
sociodemographic and behavioral information as well as constructed measured
questions using a Likert scale. Strong disagreement for number (1) and strong
agreement for number (5) are the options available in the study measured using the
Likert Scale. For this study, questions from earlier studies on related subjects were used.
As a means of facilitating better understanding among respondents, questions were also
translated into Bahasa Indonesia.
20-23
24-27
Gender Male
Female
Domicile Bandung
Jakarta
Factors Affecting Skincare Purchase Intention During 55
Bogor
Depok
Tangerang
Bekasi
Outside
Bandung & Jabodetabek
Occupation Student
Employee
Entrepreneur
Other
recommended by
the streamer are
useful to the
desired
customer.
Trust in PT4 I consider the
Product quality of the
skincare
products sold
during the live
streaming to be
reliable.
PT5 I believe the
product received
was the same as
the one
demonstrated on
the live
streaming
PT6 I believe I will be
very happy with
the skincare
product I receive.
5 Purchase Intention PI1 E-commerce live (Song et al.,
streaming is a big 2022; Wu &
help to my Huang, 2023)
buying
behaviour
PI2 I am willing to
look for my
favourite
skincare
products in the
live streaming
platform
PI3 I would like to
buy skincare
products after
watching the live
streaming
PI4 I plan to continue
to follow this e-
commerce live in
the future.
The data will be analyzed by using PLS-SEM method. At the end, this paper will
provide the overall conclusion from the research and recommendation for further
studies.
Factors Affecting Skincare Purchase Intention During 59
4 RESULT / FINDING
In order to make this research more informative, the researcher adds a number of
variables based on the findings of qualitative data and applying data validation with the
triangulation data source method. As a result, the researcher has updated the theoretical
framework that will be used to analyze the influence variable that will be used to predict
how the customers' intention to purchase skincare may be affected by the KOL's
presence during live streaming. Moreover, the researcher also added additional
indicators according to the previous findings which are honesty in KOL’s presence and
impulsivity in e-commerce live streaming from the interview result. The researcher will
carry out the remaining research using a quantitative approach method considering the
revised hypothesis and theoretical framework. The researcher will also update the
questionnaire design to reflect the addition of the variables.
60 R. Avaryl and N. Kusumawati
20-23
24-27
Gender Male
Female
Domicile Bandung
Jakarta
Bogor
Depok
Tangerang
Bekasi
Outside
Bandung &
Jabodetabek
Occupation Student
Factors Affecting Skincare Purchase Intention During 61
Employee
Entrepreneur
Other
(Tokopedia Play or No
Shopee Live)
The result shows approximately equal usage on the 2 platforms which are Shopee Live
with the amount of 107 respondents and Tokopedia Play with the amount of 106
respondents. Based on this result, the researcher will dig more about the research topic
Factors Affecting Skincare Purchase Intention During 65
by comparing between the two platforms to gain more specific result and comparison
on the sample’s behavior.
Shopee Live
Path T P
Hypothesis Structural Path Result
Coefficient Statistic Values
E-Commerce Live
Positive Impact,
H1 Streaming -> 0.346 3.829 0
Accepted
Perceived Value
E-Commerce Live
Positive Impact,
H2 Streaming -> 0.227 2.498 0.013
Accepted
Perceived Trust
KOLs Presence -> Positive Impact,
H3 0.334 3.963 0
Perceived Value Accepted
KOLs Presence -> Positive Impact,
H4 0.602 7.309 0
Perceived Trust Accepted
Perceived Value-> Positive Impact,
H5 0.284 3.007 0.003
Purchase Intention Accepted
Perceived Trust -> Positive Impact,
H6 0.189 2.072 0.038
Purchase Intention Accepted
KOLs Presence -> Positive Impact,
H7 0.341 2.993 0.003
Purchase Intention Accepted
Price Promotion -> Positive Impact,
H8 0.225 2.408 0.016
Perceived Value Accepted
Brand Preference -> Positive Impact,
H9 0.16 2.17 0.03
Purchase Intention Accepted
Tokopedia Play
Structural Path T P
Hypothesis Result
Path Coefficient Statistic Values
E-Commerce Live
Positive Impact,
H1 Streaming -> 0.264 3.026 0.002
Accepted
Perceived Value
E-Commerce Live
Positive Impact,
H2 Streaming -> 0.224 3.01 0.003
Accepted
Perceived Trust
KOLs Presence -> Positive Impact,
H3 0.439 5.542 0
Perceived Value Accepted
KOLs Presence -> Positive Impact,
H4 0.628 10.066 0
Perceived Trust Accepted
Perceived Value -> Positive Impact,
H5 0.195 2.074 0.038
Purchase Intention Accepted
66 R. Avaryl and N. Kusumawati
5 DISCUSSION
In terms of how independent variables impact perceived value, it appears that the
presence of Key Opinion Leaders (KOLs) has a more significant influence compared
to e-commerce live streaming itself and price promotions. In Tokopedia Play, the
presence of KOLs has a moderate effect on perceived value, while in Shopee Live, the
effect is relatively smaller. This suggests that KOLs in Tokopedia Play are successful
in creating a sense of need among their target audience. These findings align with the
interviews conducted, which revealed that Tokopedia Play users primarily search for
specific skincare products they already require, rather than experimenting with new
ones. Regarding perceived trust, both e-commerce live streaming and KOLs contribute
equally to building trust on both platforms, although the influence of KOLs in
Tokopedia Play is slightly stronger due to the characteristics of the hosts during live
streaming. Moving on to purchase intention for skincare products, it is significantly
influenced by perceived trust, perceived value, and brand preference in Shopee Live,
with perceived value playing the most crucial role. In contrast, purchase intention in
Tokopedia Play is primarily affected by perceived value and brand preference, with
both variables being equally important. This distinction is reinforced by the interviews,
as Tokopedia Play users tend to focus on predetermined skincare products that they
already have experience using, while Shopee Live customers seek as much information
as possible to establish trust in both the hosts and the skincare products. Positive
customer experiences shared on platforms like Shopee Live further demonstrate their
trust in finding affordable products, as revealed during the interviews. At the end, these
are several recommendations to the stakeholders that is contributed in this research.
68 R. Avaryl and N. Kusumawati
The research findings suggest that having Key Opinion Leaders (KOLs) participate in
live streaming events for skincare products can positively influence customers'
intention to make a purchase. Therefore, it is recommended to partner with relevant
KOLs who are actively engaged in live streaming within the skincare industry. When
these KOLs endorse and demonstrate products during the live streams, it significantly
enhances the trustworthiness and perceived value of the resellers. This aligns with the
findings that highlight the importance of product knowledge in gaining trust from both
sellers and products. Additionally, it is beneficial to create exclusive offers and
promotions specifically for customers who make purchases during e-commerce live
streams. This approach encourages viewers to take immediate action and increases their
perception of value for the products being sold. Collaborating with brands to negotiate
exclusive discounts for the audience can further enhance this strategy. Lastly, it is
crucial for resellers to actively engage with customers during the live streams by
promptly responding to comments and inquiries. This demonstrates a strong
commitment to customer service and helps build trust with potential buyers. Providing
accurate and helpful information about the skincare products being sold is also essential
in fostering trust. By partnering with relevant KOLs, offering exclusive promotions,
and actively engaging with customers, resellers can leverage the impact of KOL
presence during e-commerce live streaming to enhance perceived value and trust,
ultimately boosting their skincare purchase intention.
Different with Shopee, Tokopedia resellers can make the most of the features and
tools provided by Tokopedia to enhance their e-commerce live streaming experience.
They can effectively showcase skincare products by using product tags, banners, and
carousel displays. It's important to optimize the product descriptions and images to
attract potential buyers. In this case, the focus is more on how the perceived value of
the products positively influences purchase intention rather than solely relying on trust.
By utilizing these features, Tokopedia users who are interested in skincare will feel a
sense of urgency to purchase products that meet their personal needs. Furthermore,
resellers can encourage customers to leave reviews and ratings after they have made a
purchase from their store. Positive reviews and high ratings play a significant role in
enhancing the perceived value and trustworthiness of the skincare products.
For marketers in the beauty industry, it is crucial to navigate the world of e-commerce
live streaming effectively. To begin with, it is essential to identify relevant Key Opinion
Leaders (KOLs) and influencers who have a strong presence in this space and align
with the brand's values and target audience. Collaborating with these influential
individuals during live streams can significantly promote the skincare products. It's
important to conduct thorough research to evaluate their engagement rates, credibility,
Factors Affecting Skincare Purchase Intention During 69
REFERENCES
1. Anantasiska, V., Suhud, U., & Usman, O.: The Effect of Social Media Marketing Activities
on Purchase Intention: A Case Study on E-commerce Consumers. The International Journal
of Social Sciences World 4(1), 101-114 (2022).
2. Chung, N., & Kwon, S. J.: Effect of trust level on mobile banking satisfaction: a multi-group
analysis of information system success instruments. Behaviour & Information Technology,
28(6), 549–562 (2009).
3. Dong, X., Zhao, H., & Li, T.: The Role of Live-Streaming E-Commerce on Consumers’
Purchasing Intention regarding Green Agricultural Products. Sustainability, 14(7), 4374
(2022).
4. Godey, B., Manthiou, A., Pederzoli, D., Rokka, J., Aiello, G., Donvito, R., & Singh, R.:
Social media marketing efforts of luxury brands: Influence on brand equity and consumer
behavior. Journal of Business Research, 69(12), 5833–5841 (2016).
5. Guo, J., Li, Y., Xu, Y., & Zeng, K.: How Live Streaming Features Impact Consumers’
Purchase Intention in the Context of Cross-Border E-Commerce? A Research Based on SOR
Theory. Frontiers in Psychology, 12, (2021).
6. Ha, N. M., & Lam, N. H.: The Effects of Celebrity Endorsement on Customer’s Attitude
toward Brand and Purchase Intention. International Journal of Economics and Finance, 9(1),
64 (2016).
70 R. Avaryl and N. Kusumawati
7. Ho, C.-I., Liu, Y., & Chen, M.-C.: Antecedents and consequences of consumers’ attitudes
toward live streaming shopping: an application of the stimulus–organism–response
paradigm. Cogent Business & Management, 9(1) (2022).
8. Ipsos.: Livestream Selling in Indonesia Market is Growing. (2022).
9. Jones, M. A., Reynolds, K. E., & Arnold, M. J.: Hedonic and utilitarian shopping value:
Investigating differential effects on retail outcomes. Journal of Business Research, 59(9),
974–981 (2006).
10. Li, M., Wang, Q., & Cao, Y.: Understanding Consumer Online Impulse Buying in Live
Streaming E-Commerce: A Stimulus-Organism-Response Framework. International Journal
of Environmental Research and Public Health, 19(7), 4378 (2022).
11. Li, Y., & Peng, Y.: What Drives Gift-giving Intention in Live Streaming? The Perspectives
of Emotional Attachment and Flow Experience. International Journal of Human–Computer
Interaction, 37(14), 1317–1329 (2021).
12. Lin, J., Li, T., & Guo, J.: Factors influencing consumers’ continuous purchase intention on
fresh food e-commerce platforms: An organic foods-centric empirical investigation.
Electronic Commerce Research and Applications, 50, 101103 (2021).
13. Meng, L. (Monroe), Duan, S., Zhao, Y., Lü, K., & Chen, S.: The impact of online celebrity
in livestreaming E-commerce on purchase intention from the perspective of emotional
contagion. Journal of Retailing and Consumer Services, 63 (2021).
14. Morwitz, V. G., Steckel, J. H., & Gupta, A.: When do purchase intentions predict sales?
International Journal of Forecasting, 23(3), 347–364 (2007).
15. Peña-García, N., Gil-Saura, I., Rodríguez-Orejuela, A., & Siqueira-Junior, J. R.: Purchase
intention and purchase behavior online: A cross-cultural approach. Heliyon, 6(6), e04284
(2020).
16. Shang, Q., Ma, H., Wang, C., & Gao, L.: Effects of Background Fitting of e-Commerce Live
Streaming on Consumers’ Purchase Intentions: A Cognitive-Affective Perspective.
Psychology Research and Behavior Management, Volume 16, 149–168 (2023).
17. Song, Z., Liu, C., & Shi, R.: How Do Fresh Live Broadcast Impact Consumers’ Purchase
Intention? Based on the SOR Theory. Sustainability, 14(21), 14382 (2022).
18. Su, X.: An Empirical Study on the Influencing Factors of E-Commerce Live Streaming.
2019 International Conference on Economic Management and Model Engineering
(ICEMME), 492–496 (2019).
19. Tegan George.: Mixed Methods Research Definition, Guide & Examples. Scribbr. (2021).
20. van Teijlingen, E., & Hundley, V.: The importance of pilot studies. Nursing Standard,
16(40), 33–36 (2002).
21. Vasileiou, K., Barnett, J., Thorpe, S., & Young, T.: Characterising and justifying sample
size sufficiency in interview-based studies: systematic analysis of qualitative health research
over a 15-year period. BMC Medical Research Methodology, 18(1), 148 (2018).
22. Werner Geyser.: What is KOL Marketing and How Can it Benefit You? Influencer
Marketing Hub. (2022).
23. Wu, Y., & Huang, H.: Influence of Perceived Value on Consumers’ Continuous Purchase
Intention in Live-Streaming E-Commerce—Mediated by Consumer Trust. Sustainability,
15(5), 4432 (2023).
24. Zhou, R., & Tong, L.: A Study on the Influencing Factors of Consumers’ Purchase Intention
During Livestreaming e-commerce: The Mediating Effect of Emotion. Frontiers in
Psychology, 13 (2022).
Factors Affecting Skincare Purchase Intention During 71
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-
NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/),
which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any
medium or format, as long as you give appropriate credit to the original author(s) and the source,
provide a link to the Creative Commons license and indicate if changes were made.
The images or other third party material in this chapter are included in the chapter's Creative
Commons license, unless indicated otherwise in a credit line to the material. If material is not
included in the chapter's Creative Commons license and your intended use is not permitted by
statutory regulation or exceeds the permitted use, you will need to obtain permission directly from
the copyright holder.