Research of personalisation in online shopping: Literature review and research model

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.

d7ab8e b82e b25 f771a 671e2 2eac3a57c81ccf10fbf2d5a d39c42dd8acfcf3e7 a3b2006 1742 0fc1db577 d1b1e 93fbdd0ab7 1b01 01f9f1 e124 c788 9b01 4208 558 42862e5 73af62d1 1a070 e4a1e6 16adfc8 d9d6 bba8 6091 70bf95 cbe6e 88dc2a8 53cf07 f646 b8c7339 c9bc5 c2a893 9633 c98 d993 4af9e 93a61a 3f7 58e77 bf2 8ae b585e4 c6 fc5 82399 8ad43 d515 95ae0 84789 9c4 c83 f8e 59ac3 f93 b72 418e4 0958 1e13c27bbdbb623 39b4a 6c1a 92ab4 b087 b9 f43e1 9cbdd2ef1 8735 b0a4e2 6a80 f 3c3b9e00a5 254b89e c7d9 4e5c66c6b2 b82e b06a2 4f1 75a896 44b0 e9c5398 f3 f1 4b5bc6a22 5fdff0 41df597 5d8 7500 b5865a d81 f6 f4d0 cb27cf3 f1b3 bbcf5a 9e7 325654e 7f4 d3a0 0975 d005a7 b55 0ef9 8d3 b3b7 e6a628 2e6e3 c0a4 2567 faa9c1c 049647 51b2 64f206 c364 bd75 9c1 31d9 64a9fdd5 2ab2a8 3f0 8075 e9f4714 f777 7e6c0 572a75 8f0 0c0 7a568e 4eb5 bc2b5 be222 3a3b9 f6 c0e1 1c56 d0 f87d13b5 04 180ac9 edf0d3 650 cbcc91 885db0e0 74ca 61a4 f6502 4b3 d16b9e005 49e5 6d2dc3 c7952 d3 c8baa0 9c2a 1c4 c631 3e5 f1c1471 f3a72 7a695 064ca 57e6 d7b65b0 57b9 1e04e04a 8992 7f6a c78 c86 d1e0 c2d175ad4fca 1fb6e36 521a34 4c3 9b3 f08 c331 cfed 7dd2ab0 d8e55 82df302 29a2b9eb3 f47 bb0 b317a 5b0 67abf16dc1 d1465 8d4 6c0c3e2bb9d54fb002 ebc95b823a11a b1 c12d09d4 d76a8 e2c083 cc4e fee4e f12 14e34d3b80 c3 dd69 5f8 9f0 6c2fba4 b08a b177 7a0b9 ba719ff 6d41 649 c7c39f3 4a49356 cd1 504 b41ac6b5 09f5a55d7d1e 0f7 34bd01b9f9 b418 306b079aa1 4b58 76c8 c235 4c6 d472 b9ba 67e47 c60a 45fe 16681 e6ab5 fc709e3 42c7d0fbd3a5df7 d15bea d4fc82e c67 40f6981 520a4 c275 1ef9 c52 e2ff5a7d195a4 76e05 fe65 012 aec9cfb 6aa3fde90ab9502aa0 11aa6a5 b6 f324 b3c8b6e 9c8 d6bc66 f121 4f2 82f bd4 c4bb166 f2f402e 7b7 f5d4 1a62 f16ae b3c4b79 2eb d8404a 58fb7 c62 f4a3d0d 72fbd58 b8d3 da629 cd15aa34 f047 0bfc4 c9d8 88b5 c22 89ee b55d15aeb c0 f747 aa95d9 c7988 7230 749a6a d6a6 f14b06a00 51c86fe2 186 f0a12a 9e6c2a4ef6661 2cf8da07 0f2 2943a2 5f7 1a1c0a867 c8 cf3 02b1 f11 bde4a 23e7 86be be180 10d4f e408373 6a892 76022 74e7 0c3 7d9d50ee0 258e 23c4 44e8 1ee032 d32 c44 b595e bf 8b9e5 f7e1 78ef067da 3bc8ed 3c5 bfcfde 88109 87c4baaab25b5 f5 b2f3c7 f34e 1b3cfe83 06969 dcd424fb6 05c081bd42 b333 9a88e0 f93 b11ff4 6486a bec9 8e8d RESEARCH OF PERSONALISATION IN ONLINE SHOPPING: LITERATURE REVIEW AND RESEARCH MODEL Nguyen Phuong Hoa 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: 753 754 SUSTAINABLE ECONOMIC DEVELOPMENT AND BUSINESS MANAGEMENT IN THE CONTEXT OF GLOBALISATION (SEDBM) How different personality traits react to different personalisation mechanisms? How 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 d7ab8e b82e b25 f771a 671e2 2eac3a57c81ccf10fbf2d5a d39c42dd8acfcf3e7 a3b2006 1742 0fc1db577 d1b1e 93fbdd0ab7 1b01 01f9f1 e124 c788 9b01 4208 558 42862e5 73af62d1 1a070 e4a1e6 16adfc8 d9d6 bba8 6091 70bf95 cbe6e 88dc2a8 53cf07 f646 b8c7339 c9bc5 c2a893 9633 c98 d993 4af9e 93a61a 3f7 58e77 bf2 8ae b585e4 c6 fc5 82399 8ad43 d515 95ae0 84789 9c4 c83 f8e 59ac3 f93 b72 418e4 0958 1e13c27bbdbb623 39b4a 6c1a 92ab4 b087 b9 f43e1 9cbdd2ef1 8735 b0a4e2 6a80 f 3c3b9e00a5 254b89e c7d9 4e5c66c6b2 b82e b06a2 4f1 75a896 44b0 e9c5398 f3 f1 4b5bc6a22 5fdff0 41df597 5d8 7500 b5865a d81 f6 f4d0 cb27cf3 f1b3 bbcf5a 9e7 325654e 7f4 d3a0 0975 d005a7 b55 0ef9 8d3 b3b7 e6a628 2e6e3 c0a4 2567 faa9c1c 049647 51b2 64f206 c364 bd75 9c1 31d9 64a9fdd5 2ab2a8 3f0 8075 e9f4714 f777 7e6c0 572a75 8f0 0c0 7a568e 4eb5 bc2b5 be222 3a3b9 f6 c0e1 1c56 d0 f87d13b5 04 180ac9 edf0d3 650 cbcc91 885db0e0 74ca 61a4 f6502 4b3 d16b9e005 49e5 6d2dc3 c7952 d3 c8baa0 9c2a 1c4 c631 3e5 f1c1471 f3a72 7a695 064ca 57e6 d7b65b0 57b9 1e04e04a 8992 7f6a c78 c86 d1e0 c2d175ad4fca 1fb6e36 521a34 4c3 9b3 f08 c331 cfed 7dd2ab0 d8e55 82df302 29a2b9eb3 f47 bb0 b317a 5b0 67abf16dc1 d1465 8d4 6c0c3e2bb9d54fb002 ebc95b823a11a b1 c12d09d4 d76a8 e2c083 cc4e fee4e f12 14e34d3b80 c3 dd69 5f8 9f0 6c2fba4 b08a b177 7a0b9 ba719ff 6d41 649 c7c39f3 4a49356 cd1 504 b41ac6b5 09f5a55d7d1e 0f7 34bd01b9f9 b418 306b079aa1 4b58 76c8 c235 4c6 d472 b9ba 67e47 c60a 45fe 16681 e6ab5 fc709e3 42c7d0fbd3a5df7 d15bea d4fc82e c67 40f6981 520a4 c275 1ef9 c52 e2ff5a7d195a4 76e05 fe65 012 aec9cfb 6aa3fde90ab9502aa0 11aa6a5 b6 f324 b3c8b6e 9c8 d6bc66 f121 4f2 82f bd4 c4bb166 f2f402e 7b7 f5d4 1a62 f16ae b3c4b79 2eb d8404a 58fb7 c62 f4a3d0d 72fbd58 b8d3 da629 cd15aa34 f047 0bfc4 c9d8 88b5 c22 89ee b55d15aeb c0 f747 aa95d9 c7988 7230 749a6a d6a6 f14b06a00 51c86fe2 186 f0a12a 9e6c2a4ef6661 2cf8da07 0f2 2943a2 5f7 1a1c0a867 c8 cf3 02b1 f11 bde4a 23e7 86be be180 10d4f e408373 6a892 76022 74e7 0c3 7d9d50ee0 258e 23c4 44e8 1ee032 d32 c44 b595e bf 8b9e5 f7e1 78ef067da 3bc8ed 3c5 bfcfde 88109 87c4baaab25b5 f5 b2f3c7 f34e 1b3cfe83 06969 dcd424fb6 05c081bd42 b333 9a88e0 f93 b11ff4 6486a bec9 8e8d RESEARCH OF PERSONALISATION IN ONLINE SHOPPING: LITERATURE REVIEW AND RESEARCH MODEL 755 popular 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 d7ab8e b82e b25 f771a 671e2 2eac3a57c81ccf10fbf2d5a d39c42dd8acfcf3e7 a3b2006 1742 0fc1db577 d1b1e 93fbdd0ab7 1b01 01f9f1 e124 c788 9b01 4208 558 42862e5 73af62d1 1a070 e4a1e6 16adfc8 d9d6 bba8 6091 70bf95 cbe6e 88dc2a8 53cf07 f646 b8c7339 c9bc5 c2a893 9633 c98 d993 4af9e 93a61a 3f7 58e77 bf2 8ae b585e4 c6 fc5 82399 8ad43 d515 95ae0 84789 9c4 c83 f8e 59ac3 f93 b72 418e4 0958 1e13c27bbdbb623 39b4a 6c1a 92ab4 b087 b9 f43e1 9cbdd2ef1 8735 b0a4e2 6a80 f 3c3b9e00a5 254b89e c7d9 4e5c66c6b2 b82e b06a2 4f1 75a896 44b0 e9c5398 f3 f1 4b5bc6a22 5fdff0 41df597 5d8 7500 b5865a d81 f6 f4d0 cb27cf3 f1b3 bbcf5a 9e7 325654e 7f4 d3a0 0975 d005a7 b55 0ef9 8d3 b3b7 e6a628 2e6e3 c0a4 2567 faa9c1c 049647 51b2 64f206 c364 bd75 9c1 31d9 64a9fdd5 2ab2a8 3f0 8075 e9f4714 f777 7e6c0 572a75 8f0 0c0 7a568e 4eb5 bc2b5 be222 3a3b9 f6 c0e1 1c56 d0 f87d13b5 04 180ac9 edf0d3 650 cbcc91 885db0e0 74ca 61a4 f6502 4b3 d16b9e005 49e5 6d2dc3 c7952 d3 c8baa0 9c2a 1c4 c631 3e5 f1c1471 f3a72 7a695 064ca 57e6 d7b65b0 57b9 1e04e04a 8992 7f6a c78 c86 d1e0 c2d175ad4fca 1fb6e36 521a34 4c3 9b3 f08 c331 cfed 7dd2ab0 d8e55 82df302 29a2b9eb3 f47 bb0 b317a 5b0 67abf16dc1 d1465 8d4 6c0c3e2bb9d54fb002 ebc95b823a11a b1 c12d09d4 d76a8 e2c083 cc4e fee4e f12 14e34d3b80 c3 dd69 5f8 9f0 6c2fba4 b08a b177 7a0b9 ba719ff 6d41 649 c7c39f3 4a49356 cd1 504 b41ac6b5 09f5a55d7d1e 0f7 34bd01b9f9 b418 306b079aa1 4b58 76c8 c235 4c6 d472 b9ba 67e47 c60a 45fe 16681 e6ab5 fc709e3 42c7d0fbd3a5df7 d15bea d4fc82e c67 40f6981 520a4 c275 1ef9 c52 e2ff5a7d195a4 76e05 fe65 012 aec9cfb 6aa3fde90ab9502aa0 11aa6a5 b6 f324 b3c8b6e 9c8 d6bc66 f121 4f2 82f bd4 c4bb166 f2f402e 7b7 f5d4 1a62 f16ae b3c4b79 2eb d8404a 58fb7 c62 f4a3d0d 72fbd58 b8d3 da629 cd15aa34 f047 0bfc4 c9d8 88b5 c22 89ee b55d15aeb c0 f747 aa95d9 c7988 7230 749a6a d6a6 f14b06a00 51c86fe2 186 f0a12a 9e6c2a4ef6661 2cf8da07 0f2 2943a2 5f7 1a1c0a867 c8 cf3 02b1 f11 bde4a 23e7 86be be180 10d4f e408373 6a892 76022 74e7 0c3 7d9d50ee0 258e 23c4 44e8 1ee032 d32 c44 b595e bf 8b9e5 f7e1 78ef067da 3bc8ed 3c5 bfcfde 88109 87c4baaab25b5 f5 b2f3c7 f34e 1b3cfe83 06969 dcd424fb6 05c081bd42 b333 9a88e0 f93 b11ff4 6486a bec9 8e8d 756 SUSTAINABLE ECONOMIC DEVELOPMENT AND BUSINESS MANAGEMENT IN THE CONTEXT OF GLOBALISATION (SEDBM) Agreeableness 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: d7ab8e b82e b25 f771a 671e2 2eac3a57c81ccf10fbf2d5a d39c42dd8acfcf3e7 a3b2006 1742 0fc1db577 d1b1e 93fbdd0ab7 1b01 01f9f1 e124 c788 9b01 4208 558 42862e5 73af62d1 1a070 e4a1e6 16adfc8 d9d6 bba8 6091 70bf95 cbe6e 88dc2a8 53cf07 f646 b8c7339 c9bc5 c2a893 9633 c98 d993 4af9e 93a61a 3f7 58e77 bf2 8ae b585e4 c6 fc5 82399 8ad43 d515 95ae0 84789 9c4 c83 f8e 59ac3 f93 b72 418e4 0958 1e13c27bbdbb623 39b4a 6c1a 92ab4 b087 b9 f43e1 9cbdd2ef1 8735 b0a4e2 6a80 f 3c3b9e00a5 254b89e c7d9 4e5c66c6b2 b82e b06a2 4f1 75a896 44b0 e9c5398 f3 f1 4b5bc6a22 5fdff0 41df597 5d8 7500 b5865a d81 f6 f4d0 cb27cf3 f1b3 bbcf5a 9e7 325654e 7f4 d3a0 0975 d005a7 b55 0ef9 8d3 b3b7 e6a628 2e6e3 c0a4 2567 faa9c1c 049647 51b2 64f206 c364 bd75 9c1 31d9 64a9fdd5 2ab2a8 3f0 8075 e9f4714 f777 7e6c0 572a75 8f0 0c0 7a568e 4eb5 bc2b5 be222 3a3b9 f6 c0e1 1c56 d0 f87d13b5 04 180ac9 edf0d3 650 cbcc91 885db0e0 74ca 61a4 f6502 4b3 d16b9e005 49e5 6d2dc3 c7952 d3 c8baa0 9c2a 1c4 c631 3e5 f1c1471 f3a72 7a695 064ca 57e6 d7b65b0 57b9 1e04e04a 8992 7f6a c78 c86 d1e0 c2d175ad4fca 1fb6e36 521a34 4c3 9b3 f08 c331 cfed 7dd2ab0 d8e55 82df302 29a2b9eb3 f47 bb0 b317a 5b0 67abf16dc1 d1465 8d4 6c0c3e2bb9d54fb002 ebc95b823a11a b1 c12d09d4 d76a8 e2c083 cc4e fee4e f12 14e34d3b80 c3 dd69 5f8 9f0 6c2fba4 b08a b177 7a0b9 ba719ff 6d41 649 c7c39f3 4a49356 cd1 504 b41ac6b5 09f5a55d7d1e 0f7 34bd01b9f9 b418 306b079aa1 4b58 76c8 c235 4c6 d472 b9ba 67e47 c60a 45fe 16681 e6ab5 fc709e3 42c7d0fbd3a5df7 d15bea d4fc82e c67 40f6981 520a4 c275 1ef9 c52 e2ff5a7d195a4 76e05 fe65 012 aec9cfb 6aa3fde90ab9502aa0 11aa6a5 b6 f324 b3c8b6e 9c8 d6bc66 f121 4f2 82f bd4 c4bb166 f2f402e 7b7 f5d4 1a62 f16ae b3c4b79 2eb d8404a 58fb7 c62 f4a3d0d 72fbd58 b8d3 da629 cd15aa34 f047 0bfc4 c9d8 88b5 c22 89ee b55d15aeb c0 f747 aa95d9 c7988 7230 749a6a d6a6 f14b06a00 51c86fe2 186 f0a12a 9e6c2a4ef6661 2cf8da07 0f2 2943a2 5f7 1a1c0a867 c8 cf3 02b1 f11 bde4a 23e7 86be be180 10d4f e408373 6a892 76022 74e7 0c3 7d9d50ee0 258e 23c4 44e8 1ee032 d32 c44 b595e bf 8b9e5 f7e1 78ef067da 3bc8ed 3c5 bfcfde 88109 87c4baaab25b5 f5 b2f3c7 f34e 1b3cfe83 06969 dcd424fb6 05c081bd42 b333 9a88e0 f93 b11ff4 6486a bec9 8e8d RESEARCH OF PERSONALISATION IN ONLINE SHOPPING: LITERATURE REVIEW AND RESEARCH MODEL Figure 1: Mediation model The conceptual framework is developed as below: Figure 2: Conceptual framework Table 1: Summary of hypotheses in the research 757 d7ab8e b82e b25 f771a 671e2 2eac3a57c81ccf10fbf2d5a d39c42dd8acfcf3e7 a3b2006 1742 0fc1db577 d1b1e 93fbdd0ab7 1b01 01f9f1 e124 c788 9b01 4208 558 42862e5 73af62d1 1a070 e4a1e6 16adfc8 d9d6 bba8 6091 70bf95 cbe6e 88dc2a8 53cf07 f646 b8c7339 c9bc5 c2a893 9633 c98 d993 4af9e 93a61a 3f7 58e77 bf2 8ae b585e4 c6 fc5 82399 8ad43 d515 95ae0 84789 9c4 c83 f8e 59ac3 f93 b72 418e4 0958 1e13c27bbdbb623 39b4a 6c1a 92ab4 b087 b9 f43e1 9cbdd2ef1 8735 b0a4e2 6a80 f 3c3b9e00a5 254b89e c7d9 4e5c66c6b2 b82e b06a2 4f1 75a896 44b0 e9c5398 f3 f1 4b5bc6a22 5fdff0 41df597 5d8 7500 b5865a d81 f6 f4d0 cb27cf3 f1b3 bbcf5a 9e7 325654e 7f4 d3a0 0975 d005a7 b55 0ef9 8d3 b3b7 e6a628 2e6e3 c0a4 2567 faa9c1c 049647 51b2 64f206 c364 bd75 9c1 31d9 64a9fdd5 2ab2a8 3f0 8075 e9f4714 f777 7e6c0 572a75 8f0 0c0 7a568e 4eb5 bc2b5 be222 3a3b9 f6 c0e1 1c56 d0 f87d13b5 04 180ac9 edf0d3 650 cbcc91 885db0e0 74ca 61a4 f6502 4b3 d16b9e005 49e5 6d2dc3 c7952 d3 c8baa0 9c2a 1c4 c631 3e5 f1c1471 f3a72 7a695 064ca 57e6 d7b65b0 57b9 1e04e04a 8992 7f6a c78 c86 d1e0 c2d175ad4fca 1fb6e36 521a34 4c3 9b3 f08 c331 cfed 7dd2ab0 d8e55 82df302 29a2b9eb3 f47 bb0 b317a 5b0 67abf16dc1 d1465 8d4 6c0c3e2bb9d54fb002 ebc95b823a11a b1 c12d09d4 d76a8 e2c083 cc4e fee4e f12 14e34d3b80 c3 dd69 5f8 9f0 6c2fba4 b08a b177 7a0b9 ba719ff 6d41 649 c7c39f3 4a49356 cd1 504 b41ac6b5 09f5a55d7d1e 0f7 34bd01b9f9 b418 306b079aa1 4b58 76c8 c235 4c6 d472 b9ba 67e47 c60a 45fe 16681 e6ab5 fc709e3 42c7d0fbd3a5df7 d15bea d4fc82e c67 40f6981 520a4 c275 1ef9 c52 e2ff5a7d195a4 76e05 fe65 012 aec9cfb 6aa3fde90ab9502aa0 11aa6a5 b6 f324 b3c8b6e 9c8 d6bc66 f121 4f2 82f bd4 c4bb166 f2f402e 7b7 f5d4 1a62 f16ae b3c4b79 2eb d8404a 58fb7 c62 f4a3d0d 72fbd58 b8d3 da629 cd15aa34 f047 0bfc4 c9d8 88b5 c22 89ee b55d15aeb c0 f747 aa95d9 c7988 7230 749a6a d6a6 f14b06a00 51c86fe2 186 f0a12a 9e6c2a4ef6661 2cf8da07 0f2 2943a2 5f7 1a1c0a867 c8 cf3 02b1 f11 bde4a 23e7 86be be180 10d4f e408373 6a892 76022 74e7 0c3 7d9d50ee0 258e 23c4 44e8 1ee032 d32 c44 b595e bf 8b9e5 f7e1 78ef067da 3bc8ed 3c5 bfcfde 88109 87c4baaab25b5 f5 b2f3c7 f34e 1b3cfe83 06969 dcd424fb6 05c081bd42 b333 9a88e0 f93 b11ff4 6486a bec9 8e8d 758 SUSTAINABLE ECONOMIC DEVELOPMENT AND BUSINESS MANAGEMENT IN THE CONTEXT OF GLOBALISATION (SEDBM) Aiming 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 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0fc1db577 d1b1e 93fbdd0ab7 1b01 01f9f1 e124 c788 9b01 4208 558 42862e5 73af62d1 1a070 e4a1e6 16adfc8 d9d6 bba8 6091 70bf95 cbe6e 88dc2a8 53cf07 f646 b8c7339 c9bc5 c2a893 9633 c98 d993 4af9e 93a61a 3f7 58e77 bf2 8ae b585e4 c6 fc5 82399 8ad43 d515 95ae0 84789 9c4 c83 f8e 59ac3 f93 b72 418e4 0958 1e13c27bbdbb623 39b4a 6c1a 92ab4 b087 b9 f43e1 9cbdd2ef1 8735 b0a4e2 6a80 f 3c3b9e00a5 254b89e c7d9 4e5c66c6b2 b82e b06a2 4f1 75a896 44b0 e9c5398 f3 f1 4b5bc6a22 5fdff0 41df597 5d8 7500 b5865a d81 f6 f4d0 cb27cf3 f1b3 bbcf5a 9e7 325654e 7f4 d3a0 0975 d005a7 b55 0ef9 8d3 b3b7 e6a628 2e6e3 c0a4 2567 faa9c1c 049647 51b2 64f206 c364 bd75 9c1 31d9 64a9fdd5 2ab2a8 3f0 8075 e9f4714 f777 7e6c0 572a75 8f0 0c0 7a568e 4eb5 bc2b5 be222 3a3b9 f6 c0e1 1c56 d0 f87d13b5 04 180ac9 edf0d3 650 cbcc91 885db0e0 74ca 61a4 f6502 4b3 d16b9e005 49e5 6d2dc3 c7952 d3 c8baa0 9c2a 1c4 c631 3e5 f1c1471 f3a72 7a695 064ca 57e6 d7b65b0 57b9 1e04e04a 8992 7f6a c78 c86 d1e0 c2d175ad4fca 1fb6e36 521a34 4c3 9b3 f08 c331 cfed 7dd2ab0 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