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International Journal of Interdisciplinary Research

Can consumers’ gamified, personalized, and engaging experiences with VR fashion apps increase in-app purchase intention by fulfilling needs?

Abstract

While the development of virtual reality (VR) apps is trending among fashion retailers to cope with the COVID-19 pandemic and promote consumers’ online shopping, less is understood about whether and the way these new VR apps increase consumers’ in-app purchase. This study was designed to address this issue by applying self-determination theory within the context of Taobao Life, a 3D avatar-based and game-featured virtual world on the Taobao app. Specifically, we investigated (1) whether the extent to which a VR fashion app provides consumers with a sense of gamified experience (H1: challenge, and H2: achievement), personalized experience (H3: avatar customization, and H4: avatar identification), and engaging experience (H5: social presence, and H6: social support) fulfills their competence, autonomy, and relatedness needs; (2) whether these intrinsic needs fulfill determine positive consumer behavioral intentions (H7: intention to continue to use VR apps, and H8: intention to make in-app purchase), and (3) whether the intention to continue to use VR apps leads to a positive in-app purchase intention (H9). We tested the above empirically by conducting an online survey via Dynata, and the dataset of 251 responses was analyzed using structural equation modeling. The findings of our research provide theoretical and practical implications that can be applied in the fashion retail business.

Introduction

The COVID-19 pandemic is reshaping the retail landscape and has accelerated its pace of digital transformation. Hit hard by the pandemic and social unrest, fashion retailers have been forced to adapt to the new retail normal to rescue their businesses (Ng, 2020). One way to do so was by shifting their focus from conventional brick-and-mortar retail operations to mobile commerce (m-commerce) to increase online sales (Kohan, 2020). M-commerce refers to any commercial transaction completed with a mobile device—whether a smartphone or tablet—which results in the transfer of value in exchange for services or goods (Magrath & McCormick, 2013). Examples of m-commerce include in-app purchasing (i.e., buying goods and services within an application on a mobile device), mobile banking, or using a digital wallet (e.g., Apple Pay or PayPal).

Mobile apps had already made significant market inroads in the fashion retail business before the COVID-19 pandemic (Torok, 2020). However, the recent coronavirus crisis has supercharged them even further as fashion retailers look for ways to enhance consumer e-commerce connections. In fact, 40% of consumers who did not shop online previously have begun to use e-commerce channels during the pandemic and 26% expect to shop less at physical stores following COVID-19 (Barbiroglio, 2020). During the first half of 2020, the e-commerce market in the U.S. increased by 30% compared to the same period in 2019 (Rabimov, 2020). In particular, mobile retail spending amounted to over US $47.8 billion during the second quarter of 2020 (Statista, 2020). Experts forecast that by 2021, 53.9% of the annual retail e-commerce sales in the U.S. will derive from m-commerce (Business Wire, 2018).

As m-commerce’s popularity grows, technological advancements, such as virtual reality (VR), augmented reality (AR), and 3D visualization, are being applied increasingly in fashion mobile apps to offer extra features that appeal to customers (Kohan, 2020). In today’s post-pandemic reality where consumers demand physically-disconnected, yet emotionally-connected interactions with fashion brands, it is particularly important for retailers to engage customers in the new VR normal via their apps. Thus, an increasing number of fashion retailers has developed, or accelerated their development of, VR apps to engage with consumers during the lockdown (Morgan, 2020). For example, the Chinese retail giant, Alibaba, recently launched a 3D avatar-based virtual world in their Taobao app that features a game—Taobao Life. In Taobao Life, users can customize their avatars and navigate a game-like virtual world with them. Further, the U.S. retail giant, Amazon, is developing a VR app referred to as a ‘virtual fitting room’ that will allow consumers to try on outfits with a customized virtual model of themselves (Petro, 2021).

While VR apps have emerged as one of the newest trends in the fashion retail business, less is understood about consumers’ perceptions of, and experiences with, these novel apps (Parker & Wang, 2016). This led us to an important question: do fashion retailers’ VR apps increase online sales, and if so, how? To generate a more specific and meaningful set of research questions, we review the literature on fashion mobile apps in greater detail in the section that follows, which helped us gain a clearer understanding of what has been explored versus underexplored in the literature.

Literature review

Fashion mobile apps

Retail operations are becoming increasingly mobile, and the fashion industry is leading the way, with the majority of online fashion sales now made on mobile devices, particularly through mobile apps (Charlton, 2019). Fashion mobile apps offer a convenient and user-friendly way for consumers to browse and purchase fashion items (Magrath & McCormick, 2013). Because of mobile apps’ exponential growth and wide adoption on the part of fashion retailers and marketers, academic researchers have devoted much attention to this topic. In doing so, much of the former research has focused on identifying the distinct attitudes consumers display (e.g., consumers’ adoption intention or their feelings of satisfaction) in response to mobile app use, and the specific factors that affect those attitudes. For example, Hur et al.’s (2017) study investigated the factors that influence consumers’ adoption of fashion mobile apps. In doing so, they identified technological innovativeness (i.e., individual propensity to try new technology) and fashion innovativeness (i.e., individual propensity to purchase new fashion items rather than staying with previous choices and/or consumption patterns) as the critical antecedents that influence consumers’ fashion app adoption. On the other hand, Trivedi and Trivedi (2018) explored the factors that affect consumers’ satisfaction with fashion mobile apps, and documented that three factors, information quality (the extent to which consumers find that fashion mobile apps provide quality information), system quality (the extent to which consumers find fashion mobile apps systematically easy to use), and service quality (the extent to which consumers find that fashion mobile apps provide good after-sales services), affect consumer satisfaction with fashion mobile apps significantly.

Despite these previous studies’ theoretical contributions, their practical implications are limited, in that many of them have considered ‘attitude’ the most important predictor of consumer behaviour. Indeed, understanding consumers’ attitude, which encompasses consumers’ beliefs, feelings, or behavioural intentions toward an attitude object, is important in fashion marketing research. However, in today’s dynamic fashion business environment where consumers’ tastes and preferences are changing constantly, it seems more important to understand whether and the way fashion mobile apps satisfy consumers’ more enduring, intrinsic needs (e.g., for competence, autonomy, and relatedness), which are essential in motivating their behaviour. Further, as mobile apps have advanced technologically over time and in the unique pandemic context, it is important to understand whether and the way the new ‘VR’ fashion apps that are endowed with gamification-, customization-, and engagement-features fulfill consumers’ intrinsic needs for competence, autonomy, and relatedness. This led us to formulate the following research questions:

  • RQ1: Do the gamification-, customization-, and engagement-elements of VR fashion apps satisfy consumers’ intrinsic needs for competence, autonomy, and relatedness, respectively?

  • RQ2: If so, does this fulfill of intrinsic needs (i.e., competence, autonomy and relatedness) shape consumers’ positive behavioural intention (i.e., the intentions to continuously use the VR app and make in-app purchases)?

To address the questions above, we developed our conceptual model based upon self-determination theory (SDT).

Self-determination theory (SDT)

SDT is a theory of human motivation Deci and Ryan (1985) developed. In this context, motivation refers to what moves people to act. Self-determination represents an individual’s ability to make choices and determine a course of action according to his/her own will, without external compulsion (Wehmeyer & Little, 2013). This ability plays an important role in motivating humans’ behavior and enhancing their psychological wellbeing (Ki & Kim, 2016). Self-determination allows people to feel that they have control over their choices and lives, which ultimately increases their feelings of psychological wellbeing (e.g., feeling capable, self-governed, well-supported, and satisfied with their state) (Ryan, 2009). It also has an influence on motivation. For example, people will feel more motivated to take action when they feel that what they choose to do on their own will have an effect on their outcome (Gagné & Deci, 2005). In this way, SDT highlights the essential role intrinsic motivation plays in affecting human behavior (Ki & Kim, 2016).

Stated differently, SDT examines people’s inherent tendencies that motivate them to engage in behaviors (Deci & Ryan, 2008). According to SDT, three basic psychological needs are particularly important in motivating a person to initiate behavior; an individual can become self-determined when his/her needs for competence, autonomy, and relatedness are fulfilled (Ryan & Deci, 2000a). Competence refers to the human need to feel that one’s behavior is enacted effectively [e.g., to feel that one has done a good job: Ryan and Deci (2000b)]. Autonomy represents the need to experience behavior as voluntary [e.g., to feel that one has control over what s/he does: Ryan et al., (2006)]. Relatedness refers to the need to interact, be connected to, and experience caring from others [e.g., to feel that one has meaningful relationships and interactions with others: Ryan and Deci (2000b)]. These three needs promote intrinsic motivation, which initiates behavior for its own sake and enhances one’s growth.

SDT has been applied in a wide range of research across distinct domains, from education to work and health (Gagné & Deci, 2005; Hagger & Chatzisarantis, 2009; Reeve, 2002). For example, it has provided a framework for academic researchers to identify ways to motivate students, employees, or patients better to enhance their academic, work, or exercise performance—particularly to foster their intrinsic motivations. While a number of studies has proposed self-determined motivation as an important predictor of human behaviour (Darner, 2009; Deci & Ryan, 2002; Wilson et al., 2008), academic researchers in the field of fashion marketing (i.e., fashion consumer behaviour) have been relatively slow to adopt SDT. Instead, they have been influenced largely by the theory of reasoned action (Ajzen & Fishbein, 1980) and have proposed ‘attitude’ (Choi & Lee, 2019; Kim & Karpova, 2010) and/or ‘subjective norm’ (Nam et al., 2017; Ramkumar & Woo, 2018) as important predictors of fashion consumer behaviour. However, more recently, SDT’s concept of autonomous motivation (i.e., basic and intrinsic human needs) has been shown to predict consumer behaviour better than its more established predictors (e.g., ‘attitude’, ‘subjective norms’, and/or ‘past behaviour’) (Gilal et al., 2018, 2019; Xi & Hamari, 2019). Thus, this study adopts this more recent stance and investigates (1) whether the extent to which a VR fashion app provides consumers with a sense of gamified experience (H1: challenge, and H2: achievement), personalized experience (H3: avatar customization, and H4: avatar identification), and engaging experience (H5: social presence, and H6: social support) fulfills their competence, autonomy, and relatedness needs; (2) whether these intrinsic needs fulfill determine positive consumer behavioral intentions (H7: intention to continue to use VR apps, and H8: in-app purchase intention), and (3) whether the intention to continue to use VR apps leads to a positive in-app purchase intention (H9).

Hypotheses development

A VR fashion app’s gamification elements affect consumers’ need to fulfill competence

Gamification refers to a strategy of incorporating game-like elements (e.g., engaging in entertaining challenges and accomplishing distinct achievement levels) into a brand’s retail marketing programs (Singh, 2012). For example, in a VR fashion app such as Taobao Life, users can complete daily challenges and attempt to earn higher points with which they can buy virtual clothes or accessories (Hallanan, 2020). Fashion retailers are integrating these game dynamics into their mobile apps increasingly, as they believe they can satisfy consumers’ intrinsic need for competence (Xi & Hamari, 2019), which can be fulfilled particularly when they sense a degree of challenge (e.g., gradually improve through the course of the game) and achievement (e.g., achieve higher levels or points) while using VR apps (Sailer et al., 2017).

A sense of challenge refers to an individual’s feeling of engaging in a difficult, yet achievable, task (Fu et al., 2009). This sense of challenge has been found to satisfy consumers’ desire for competence effectively. Legault’s (2017) study showed that people prefer tasks that are more, rather than less, challenging. The more challenging the tasks, the more they require people’s attention, persistence, and determination to improve, all of which serve to fulfill their need to be competent. Facing and overcoming challenges indeed reinforce one’s beliefs in self-efforts and self-abilities, and thus fulfill the need for competence (Skhirtladze et al., 2019). This suggests that consumers’ competence need can be fulfilled by the challenge features designed in a VR app (e.g., passing different levels in tile-matching games on a VR fashion app such as Taobao Life). This leads us to formulate:

H1

The more consumers feel challenged while using a VR fashion app, the more they feel that their need for competence is fulfilled.

Providing consumers with a sense of achievement is arguably another important element that can fulfill their need for competence. A sense of achievement refers to a strong positive feeling (i.e., feeling proud) of having done something difficult and worthwhile (Merriam-Webster, n.d.). When a user experiences a sense of self-efficacy (i.e., the belief that s/he has the ability to accomplish a task) or a sense of mastery, it helps fulfill his/her need for competence (Skhirtladze et al., 2019). The need for competence can be fulfilled when people feel that they are capable of, or effective in, their actions (Sheldon et al., 2001). Excelling and gaining mastery over challenges can also allow people to gain an important sense of competence and develop a cohesive sense of self (Patrick et al., 2007). We expect that the same effect will hold true when consumers feel a sense of achievement while using a VR fashion app. This leads us to propose:

H2

The more consumers feel a sense of achievement while using a VR fashion app, the more they feel that their need for competence is fulfilled.

A VR fashion app’s customization elements affect consumers’ need to fulfill autonomy

Customization refers to a marketing strategy in which a retailer allows customers to individualize its products or services through personal engagement (Liao et al., 2019). Fashion retailers are integrating customization into their mobile apps increasingly to co-create value with their customers and integrate those added values into their offerings. For example, an American fashion retailer, The Gap, offers a mobile app, the ‘DressingRoom’, in which consumers can customize their avatars based upon their own body type and try on clothes virtually (Mileva, 2019). In this way, customers are given the autonomy to personalize fashion retailers’ mobile services.

Many previous studies have shown that avatar customization helps consumers fulfill their need for autonomy. Avatar customization is a feature that allows consumers to choose, design, or modify their avatars (Ratan & Sah, 2015). When consumers have the freedom to personalize something, they feel their intrinsic needs fulfilled (Ryan & Deci, 2000b). More specifically, the more people are given numerous options and the freedom to make their own choice, the more they feel their autonomy is enhanced (Kim et al., 2015). In contrast, the more they lack choices or control over things, the more they feel their autonomy is diminished (Kim et al., 2015). Hanus and Fox (2015) also indicated that people gratify their need for autonomy when they are given the freedom to customize something. This led us to formulate:

H3

The more consumers are able to customize their avatars on a VR fashion app, the more they feel their need for autonomy is fulfilled.

Avatar identification is another feature of a VR fashion app that allows consumers to enjoy a personalized experience and experience a feeling of autonomy. Avatar identification refers to the degree to which consumers perceive that an avatar is similar to them (Teng, 2019). For example, in the online gaming context, many previous studies have found that players tend to identify psychologically with their avatars and thereby project some aspects of their real-life identities onto those avatars while playing games (Li et al., 2013; Sioni et al., 2017). Particularly, when an avatar’s visual features, such as the face, skin color, hairstyle, clothes, and accessories, resemble those of the game player, s/he tends to identify those avatars as an extension of him/herself (Teng, 2019). This sense of identification with the avatar has been documented to enhance the game players’ need for autonomy significantly (Kao, 2019). Bailey et al.’s (2009) study also showed that the more one identifies an avatar as a representation of him/herself and feels ownership over it, the greater the propensity to feel his/her need for autonomy is satisfied. Thus, we propose:

H4

The more consumers identify their avatars on a VR fashion app as a representation of themselves, the more they feel that their need for autonomy is fulfilled.

A VR fashion app’s engagement features affect consumers’ need to fulfill relatedness

In fashion marketing, customer engagement refers to an interaction between a fashion retailer and its consumers (Pansari & Kumar, 2017), or as the means by which a fashion retailer creates a relationship with its customers to foster brand resonance (So et al., 2016). Fashion brands are incorporating this engagement strategy into their digital marketing programs increasingly, with the goal to offer consumers an interactive experience in the digital realm. This interactive experience can be shaped by providing consumers with a sense of social presence (Chattaraman et al., 2012) and social support (Shim et al., 2012).

In our context, social presence refers to the degree to which one perceives the presence of others while using a VR app (Mäntymäki & Salo, 2010). Social presence has been discussed as an important element that fosters interactivity in online media contexts, including websites, social media, and online gaming platforms (Karapanos et al., 2016). Many previous studies have documented the significant and positive relation between social presence and relatedness need fulfillment (Gao et al., 2018; Tseng et al., 2019). Presence signalling (e.g., social presence in a virtual world) was found to help people gratify their desire to feel connected to and develop meaningful relationships with others (Halfmann & Rieger, 2019). For example, in an online gaming context, when game players perceived a greater sense of social presence from their co-players, their relatedness need fulfillment was enhanced (Bormann & Greitemeyer, 2015). In a similar vein, in an online learning context, the more learners exchanged opinions with their peers online and experienced social interaction and social presence, the greater they felt their need for relatedness satisfied (Fang et al., 2019). We expect that this effect of social presence on relatedness need fulfillment will hold true in consumers’ VR app use. Thus, we postulate:

H5

The more consumers feel social presence while using a VR fashion app, the more they feel their need for relatedness is fulfilled.

Social support is another important element that can gratify consumers’ intrinsic need for relatedness. In our context, social support refers to the perception that a consumer is cared for and is part of a supportive social network while using a VR fashion app. Studies have shown that social support fosters people’s sense of belonging and thus, relatedness (Hagger et al., 2006; Hombrados-Mendieta et al., 2013). Bryan et al. (2016) indicated that relatedness is satisfied when people feel connected to, and supported by, others. Further, Reis et al.’s (2000) study showed that one of the strongest predictors of relatedness is feeling understood, which could be fostered by individuals’ perceptions of social support. In further support, Niemiec et al. (2014) showed that the more individuals perceive social support, the more they believe that they are having an authentic relationship with others, which satisfies their relatedness need. This led us to propose:

H6

The more consumers feel social support while using a VR fashion app, the more they feel their need for relatedness is fulfilled.

Consumers’ intrinsic needs fulfillment affects their behaviour positively

Consistent with SDT’s core premise, many previous studies have indicated that individuals’ needs fulfillment is a critical motivator of their behavior (Bhattacherjee, 2001; Vansteenkiste et al., 2005). Here, we discuss further the way people’s intrinsic needs fulfillment activates their behavioral intention (i.e., the intention to use the app continuously and to make in-app purchases). First, many former studies across diverse virtual contexts, including the e-learning and online gaming contexts, have found the effects of competence, autonomy, and relatedness needs fulfillment on continuous use intention (Fang et al., 2019; Liao et al., 2020). In an e-learning context, when students perceived that e-learning enhanced their desire to perform efficiently and effectively (i.e., to be ‘competent’), they expressed genuine interest in e-learning and showed the intention to learn continuously (Sørebø et al., 2009). Continuous use intention can also be promoted when individuals’ needs for autonomy and relatedness are fulfilled. In a virtual gaming context, the more individuals are satisfied because of their freedom to make self-directed decisions while playing games (e.g., the ‘autonomy’ to customize their game avatars), the more likely they are to play the game continuously (Yoo et al., 2013). Further, the more people develop meaningful emotional bonds with other players and fulfill their desire for ‘relatedness’, the more they play the game again (Liao et al., 2020). This led us to propose:

H7

The more consumers feel their needs for (a) competence, (b) autonomy and (c) relatedness are fulfilled while using a VR fashion app, the greater their intention to use the app continuously.

People’s intrinsic needs fulfillment has also been associated with purchase intention (Huang et al., 2016), which can be elicited when individuals’ desire for competence and autonomy is gratified. For example, when consumers feel that they can use their abilities effectively (i.e., ‘competence’ need fulfillment) and have control over their own actions (i.e., ‘autonomy’ need fulfillment) while browsing an online retail store, the greater their satisfaction with their online shopping experience and purchase intention (Kim & Lee, 2020). Further, the more consumers experience enhanced connections (i.e., ‘relatedness’ need fulfillment) with an online retailer, the longer they stay at the retailer’s store and more likely they are to purchase from it. This led us to postulate:

H8

The more consumers feel that their needs for (a) competence, (b) autonomy and (c) relatedness are satisfied while using a VR fashion app, the greater their intention to make in-app purchases.

Lastly, we believe that consumers’ intention to use a VR app continuously will increase their intention to make in-app purchases. Many previous studies have documented the effect of continuous use intention on purchase intention. In a social media context, the more people used social media continuously, the more they showed the intention to purchase via social media (Cho et al., 2012). Similarly, the longer and more often people spent time on an online retail site, the more likely they were to purchase products on it (Rosen, 2001). This led us to propose:

H9

Consumers’ intention to use a VR fashion app continuously will have a significant and positive effect on their intention to make in-app purchases.

Figure 1 illustrates our research model and hypotheses.

Fig. 1
figure1

Research model

Methods

Stimuli

We measured consumers’ experiences with, and perceptions of, Alibaba’s Taobao Life. As shown in Fig. 2, Taobao Life is a 3D avatar-based virtual world integrated with the Taobao app. We chose Taobao Life as the main stimulus of a VR fashion app for three reasons. First, VR apps have surged in popularity recently because of the coronavirus outbreak, and Alibaba seized this opportunity by offering/promoting the VR Taobao Life on the Taobao app. Second, Taobao Life is integrated with China’s largest online retail platform (i.e., the Taobao app). Third, the distinct features embedded in Taobao Life were found to fit best to address this study’s purpose. In Taobao Life, consumers can navigate an immersive and game-like virtual world with their own customized 3D avatars. Every time customers spend money on Taobao, they receive points in Taobao Life that can be used to customize or style their personal avatars (Yu, 2020). For example, with the reward points, customers can shop for virtual items, such as digital clothing or VR accessories, some of which are based upon actual fashion items offered on Taobao (Alizila, 2020). To earn more points and buy more digital fashion items, customers can complete daily tasks, such as collecting the number of stars required by passing different levels of a tile-matching game on Taobao Life (Alizila, 2020). In Taobao Life, customers can also interact with other customers’ 3D avatars, take pictures with them, and post the pictures to a feed (Hallanan, 2020). Appendix shows additional features of Taobao life.

Fig. 2
figure2

Stimuli: Taobao life, a 3D avatar-based and game-featured virtual world on the Taobao app

Survey procedure

To test our research model and hypotheses, we developed an online survey questionnaire using Qualtrics. As Taobao Life is an app a Chinese retailer created, we chose Chinese consumers as our study sample. The online survey questionnaire consisted of three sections. In the first, we provided both visual and textual descriptions of Taobao Life to enhance survey participants’ understanding of our study’s context. To increase the data’s quality, we included a screening question (yes-or-no question) at the beginning of the questionnaire: “Have you played Taobao Life in the past three months?” Those who answered “no” to the question were screened out, while those who answered “yes” were asked to continue answering the rest of the questionnaire. In the second section, participants were asked to indicate their perceptions of, and behavioral intention toward, Taobao Life. In the last section, they were asked to provide their demographic information (gender, age, marital status, education, employment, and annual income). The survey was administrated through Dynata, a survey company that has a representative consumer panel in China. After a week of data collection, we collected 251 responses for data analysis, which fell under the rules-of-thumb: (1) A minimum sample size of 200 (Boomsma, 1982), and (2) 10 cases per variable (Nunnally & Bernstein, 1994). Furthermore, as shown in Table 1, our sample size n = 251 had 100% power (p < 0.05) to detect desired effect size of all structural paths in population, exceeding the suggested threshold, i.e., 80% (Cohen, 2013).

Table 1 Results of power analysis (n = 251)

According to our descriptive analysis, 31.9% of the respondents reported that they play Taobao Life every few days and 29.5% reported that they play it once a day, indicating the respondents’ high use of, and familiarity with, it. With respect to respondents’ demographic information, most were female (58.2%), aged between 26 and 40 (64.9%), who held a Bachelor’s degree (73.7%), and were married (72.9%). Further, the majority reported that they work full-time (89.2%), and 47% reported that they earn an annual income of more than 75,000 yuan. Details about our respondents’ demographics are presented in Table 2.

Table 2 Summary of the respondents’ sociodemographic profiles (n = 251)

Measures

The measurement items in our questionnaire were adapted from previous studies and then translated into Chinese. The scale items for challenge were adapted from Fu et al. (2009); achievement from Li et al. (2015); avatar customization from Teng (2010); avatar identification from Moon et al. (2013) and Teng (2019); social presence from Mäntymäki and Salo (2010); social support from Ki et al. (2020); competence need fulfillment from Xi and Hamari (2019); autonomy need fulfillment from La Guardia et al. (2000); relatedness need fulfillment from Xi and Hamari (2019); intention to continuously use a VR fashion app from Merhi (2016), and intention to make in-app purchases from Kwahk and Kim (2017). All questions were answered on a 7-point Likert-type scale that ranged from strongly disagree (1) to strongly agree (7). Before the main study, we conducted a pilot test with 50 respondents and the results showed that they understood all items. Table 3 presents the instrument we used in our study.

Table 3 Measurement items and confirmatory factor analysis results (n = 251)

Results

We conducted a structural equation model (SEM) analysis of the data the 251 respondents provided, to test our measurement and structural models, and hypotheses. The details of our SEM results are presented below.

Measurement model evaluation results

The results of our measurement model evaluation using confirmatory factor analysis showed a satisfactory model fit: χ2686 = 1558.09, CFI = 0.90, TLI = 0.88, IFI = 0.90 and NFI = 0.83, and RMSEA = 0.07. To validate our measurements further, we tested our instrument’s convergent and discriminant validities. As shown in Table 3, all factor loadings were above 0.65, exceeding the 0.60 threshold value (Awang et al., 2015). Second, the average variance extracted (AVE) for each construct ranged from 0.51 to 0.83, greater than the 0.50 threshold (Hair et al., 2010). Third, all constructs’ composite reliabilities (CR) were between 0.66 to 0.94, greater than the 0.60 threshold value (Fornell & Larcker, 1981). Further, as shown in Table 4, the Heterotrait-monotrait (HTMT) ratio of correlations between all possible pairs of constructs was below the recommended threshold value of 0.90, which confirmed discriminant validity (Gold et al., 2001; Henseler et al., 2015).

Table 4 Heterotrait-monotrait (HTMT) ratio of correlation

Structural model evaluation and hypothesis test results

The results of our structural model evaluation also showed a satisfactory model fit: χ2712 = 1505.90, CFI = 0.91, TLI = 0.90, IFI = 0.91, NFI = 0.84, and RMSEA = 0.07. As shown in Table 5, our results show that all of the hypotheses but H7c, H8a and H8c were supported. Specifically, challenge (H1: β = 0.80, p < 0.01) and achievement (H2: β = 0.21, p < 0.01) affected competence need fulfillment significantly and positively; avatar customization (H3: β = 0.27, p < 0.01) and avatar identification (H4: β = 0.72, p < 0.01) affected autonomy need fulfillment significantly and positively, and social presence (H5: β = 0.67, p < 0.01) and social support (H6: β = 0.33, p < 0.01) affected relatedness need fulfillment significantly and positively. In turn, while competence need fulfillment (H7a: β = 0.48, p < 0.01) and autonomy need fulfillment (H7b: β = 0.40, p < 0.01) had a significant influence on continuous app use intention, relatedness needs fulfillment’s effects (H7c: β = 0.00, p > 0.05) on continuous use intention were insignificant. With respect to the determinants of in-app purchase intention, competence need fulfillment (H8a: β = − 0.29, p > 0.05) and relatedness need fulfillment (H8c: β = − 0.02, p > 0.05) had no significant effect on in-app purchase intention. Only autonomy need fulfillment (H8b: β = 0.41, p < 0.05) affected in-app purchase intention significantly and positively. Lastly, the intention to use a fashion VR app continuously had a significant and positive effect on the in-app purchase intention (H9: β = 0.59, p < 0.01).

Table 5 Structural model evaluation and hypothesis test results (n = 251)

Discussion

While retailers are developing VR fashion apps that integrate gamification, personalization, and engagement elements increasingly as a way to cope with the COVID-19 pandemic and promote online shopping, less is understood about whether this novel type of VR fashion app increases fashion retailers’ online sales (van Heerde et al., 2019). This study sought to address this gap in the literature by adopting SDT within the context of Taobao Life. Our research findings provide several theoretical implications to the fashion mobile app literature and practical implications that can be applied in fashion marketers’ m-commerce strategies.

Our research provides new insights to the literature by shedding light on consumers’ ‘intrinsic needs fulfillment’ (i.e., competence, autonomy, and relatedness needs fulfillment) as the essential antecedents that motivate their VR fashion app use and in-app purchase behaviour. While the theory of reasoned action has influenced previous research largely and thus asserted that ‘consumer attitude’ is an important factor that predicts consumer behaviour (Choi & Lee, 2019; Kim & Karpova, 2010; Kim et al., 2016; Rauschnabel et al., 2019), less is understood about whether, and if so, the way consumers’ ‘intrinsic needs fulfillment’ influences their VR app use and in-app purchase behaviour. Understanding this is important, as recent studies have documented that SDT’s autonomous motivation predicts consumer behaviour better than its more established predictors (e.g., ‘attitude’) (Gilal et al., 2018, 2019; Xi & Hamari, 2019). While accounting for the critical role a positive attitude plays in eliciting desirable consumer behavior, such as consumer adoption and satisfaction (Hur et al., 2017; Trivedi & Trivedi, 2018), our findings show that the extent to which consumers feel their inherent needs for competence, autonomy, and relatedness are fulfilled is critical in motivating their behavioral intention to use VR fashion apps continuously and make in-app purchases. Thus, to maximize the significant benefits VR fashion apps can offer, it is important for retailers and marketers to develop in-app features that can satisfy consumers’ strong intrinsic needs for competence, autonomy, and relatedness.

Our research findings provide further insights into this aspect by identifying the specific factors that affect consumers’ competence, autonomy, and relatedness needs fulfillment, which in turn, influence their app use and in-app purchases. Two factors were found to be important to fulfill VR fashion app consumers’ competence need. Our findings show that the more consumers experience a sense of challenge (i.e., the perception of facing new challenges in the VR game world) and achievement (i.e., the perception of success by reaching a higher level) while using a VR fashion app, the more they feel that their need for competence is gratified. This indicates that fashion retailers and market practitioners could benefit by enhancing VR fashion apps’ game features that can enhance consumers’ sense of challenge and achievement, which in turn, satisfy their intrinsic need for competence. As for consumers’ need for autonomy, our findings show that fulfilling the need for autonomy is enhanced when consumers experience VR fashion apps’ customization features. The more consumers were given the freedom to personalize their digital avatars and thus, were able to perceive that the avatars are similar to them, the more they felt that their need for autonomy was gratified. On the other hand, consumers experienced fulfillment of their need for relatedness when they felt a sense of social presence and social support while using VR apps. According to our findings, the more consumers felt a sense of human contact while playing VR fashion apps, the more it satisfied their need for relatedness. Further, the more they felt that they could exchange emotional support with other users/players in a VR fashion app, the more their need for relatedness was fulfilled as well.

Our research findings show that it is this fulfillment of inherent needs (i.e., competence and autonomy) that motivates consumers’ behaviors. With respect to the factors that affect consumers’ continuous VR fashion app use intention, it was found important to fulfill two needs. The more consumers felt that their needs for competence and autonomy were satisfied, the more they were motivated to use VR fashion apps continuously. However, consumers’ need for relatedness was not found to have a significant effect on their intention to use apps continuously. This implies that the VR fashion app usage behavior is more influenced by the gamified and personalized app features, which in turn, lead to consumers’ competence and autonomy needs fulfillment, respectively. These findings infer that when it comes to VR fashion app usage, the fulfill of consumers’ needs for competence and autonomy has positive effect on their app usage behavior; but not the fulfill of their need for relatedness. This may be because relatedness need can be fulfilled through other human–computer interactions (e.g., their use of social media or online games), not necessarily through the use of VR fashion apps.

With respect to in-app purchase intention, only fulfilling the need for autonomy was found to be a significant antecedent. This supports previous research findings that indicate autonomy as a critical aspect of consumer choice decisions (André et al., 2018; Wertenbroch et al., 2020). While fulfilling competence and relatedness needs did not affect consumers’ in-app purchase intention, our results show that the more consumers fulfill their need for autonomy by customizing their 3D avatars’ visual features, such as the face, hairstyle, and clothing, to resemble their own, the greater their propensity to make in-app purchases. Furthermore, the more consumers use VR fashion apps continuously, the greater their propensity to make in-app purchases. These findings imply that to maximize their mobile sales, fashion retailers and m-commerce marketers may wish to focus on fulfilling consumers’ need for autonomy by enhancing their VR fashion apps’ avatar customization and identification features (e.g., features that allow customers to virtually dress their avatars and to project some aspects of their real-life identities onto those avatars), and in the long-term, by motivating customers to use their VR fashion apps continuously.

Conclusions

This research was designed to address the question: can VR fashion apps increase online sales? Our research findings show clearly that fashion retailers’ VR apps indeed can have a positive marketing effect by fulfilling consumers’ inherent needs for competence and autonomy by employing their apps’ gamified (i.e., challenge and achievement) and personalized features (i.e., avatar customization and identification). In this way, our study provides important, new insights to the literature by highlighting the two needs that must be fulfilled to motivate consumers’ intention to use VR fashion apps continuously and/or make in-app purchases.

Availability of data and materials

The data that support the findings of this study are available on request from the corresponding author, Dr. Chung-Wha (Chloe) Ki. The data are not publicly available due to their containing information that could compromise the privacy of research participants.

References

  1. Ajzen, I., & Fishbein, M. (1980). Theory of reasoned action/theory of planned behavior. Social Psychology, 2007, 67–98.

    Google Scholar 

  2. Alizila. (2020, August 7). What is taobao life?. https://www.alizila.com/video/what-is-taobao-life/

  3. André, Q., Carmon, Z., Wertenbroch, K., Crum, A., Frank, D., Goldstein, W., Huber, J., Van Boven, L., Weber, B., & Yang, H. (2018). Consumer choice and autonomy in the age of artificial intelligence and big data. Customer Needs and Solutions, 5(1), 28–37.

    Article  Google Scholar 

  4. Awang, Z., Afthanorhan, A., Mohamad, M., & Asri, M. (2015). An evaluation of measurement model for medical tourism research: The confirmatory factor analysis approach. International Journal of Tourism Policy, 6(1), 29–45.

    Article  Google Scholar 

  5. Bailey, R., Wise, K., & Bolls, P. (2009). How avatar customizability affects children’s arousal and subjective presence during junk food–sponsored online video games. CyberPsychology & Behavior, 12(3), 277–283. https://doi.org/10.1089/cpb.2008.0292

    Article  Google Scholar 

  6. Barbiroglio, E. (2020, May 28). Green practices and new fashion apps will tackle coronavirus waste. Forbes. https://www.forbes.com/sites/emanuelabarbiroglio/2020/05/28/green-practices-and-new-fashiin-apps-will-tackle-coronavirus-waste/?sh=753bf6587489.

  7. Bhattacherjee, A. (2001). Understanding information systems continuance: An expectation-confirmation model. MIS Quarterly, 25(3), 351–370. https://doi.org/10.2307/3250921

    Article  Google Scholar 

  8. Boomsma, A. (1982). Robustness of LISREL against small sample sizes in factor analysis models. In K. Joreskog & H. Wold (Eds.), Systems under indirect observation: Causality, structure, prediction (Part I) (pp. 149–173). Amsterdam.

    Google Scholar 

  9. Bormann, D., & Greitemeyer, T. (2015). Immersed in virtual worlds and minds: Effects of in-game storytelling on immersion, need satisfaction, and affective theory of mind. Social Psychological and Personality Science, 6(6), 646–652. https://doi.org/10.1177/1948550615578177

    Article  Google Scholar 

  10. Bryan, J. L., Quist, M. C., Young, C. M., Steers, M. L. N., & Lu, Q. (2016). General needs satisfaction as a mediator of the relationship between ambivalence over emotional expression and perceived social support. The Journal of Social Psychology, 156(1), 115–121. https://doi.org/10.1080/00224545.2015.1041448

    Article  PubMed  Google Scholar 

  11. Business Wire. (2018). Global M-commerce 2018. https://www.businesswire.com/news/home/20181211005856/en/

  12. Charlton, G. (2019, June 19). See it, snap it, shop it–How apps are changing the world of fashion retail. The UK Domain. https://www.theukdomain.uk/see-it-snap-it-shop-it-how-apps-are-changing-the-world-of-fashion-retail/

  13. Chattaraman, V., Kwon, W. S., & Gilbert, J. E. (2012). Virtual agents in retail web sites: Benefits of simulated social interaction for older users. Computers in Human Behavior, 28(6), 2055–2066. https://doi.org/10.1016/j.chb.2012.06.009

    Article  Google Scholar 

  14. Cho, Y. S., Heo, J. Y., & Youn, M. K. (2012). Korean customer attitudes toward SNS shopping. The Journal of Distribution Science, 10(8), 7–14. https://doi.org/10.15722/jds.10.8.201208.7

    Article  Google Scholar 

  15. Choi, W., & Lee, Y. (2019). Effects of fashion vlogger attributes on product attitude and content sharing. Fashion and Textiles, 6(1), 1–18. https://doi.org/10.1186/s40691-018-0161-1

    Article  Google Scholar 

  16. Cohen, J. (2013). Statistical power analysis for the behavioral sciences. Academic press.

    Book  Google Scholar 

  17. Darner, R. (2009). Self-determination theory as a guide to fostering environmental motivation. The Journal of Environmental Education, 40(2), 39–49. https://doi.org/10.3200/JOEE.40.2.39-49

    Article  Google Scholar 

  18. Deci, E. L., & Ryan, R. M. (1985). The general causality orientations scale: Self-determination in personality. Journal of Research in Personality, 19(2), 109–134. https://doi.org/10.1016/0092-6566(85)90023-6

    Article  Google Scholar 

  19. Deci, E. L., & Ryan, R. M. (2002). Handbook of self-determination research (Vol. 2). The University of Rochester Press.

    Google Scholar 

  20. Deci, E. L., & Ryan, R. M. (2008). Self-determination theory: A macrotheory of human motivation, development, and health. Canadian Psychology: Psychologie Canadienne, 49(3), 182–185. https://doi.org/10.1037/a0012801

    Article  Google Scholar 

  21. Fang, J., Tang, L., Yang, J., & Peng, M. (2019). Social interaction in MOOCs: The mediating effects of immersive experience and psychological needs satisfaction. Telematics and Informatics, 39, 75–91. https://doi.org/10.1016/j.tele.2019.01.006

    Article  Google Scholar 

  22. Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.1177/002224378101800104

    Article  Google Scholar 

  23. Fu, F. L., Su, R. C., & Yu, S. C. (2009). EGameFlow: A scale to measure learners’ enjoyment of e-learning games. Computers & Education, 52(1), 101–112. https://doi.org/10.1016/j.compedu.2008.07.004

    Article  Google Scholar 

  24. Gagné, M., & Deci, E. L. (2005). Self-determination theory and work motivation. Journal of Organizational Behavior, 26(4), 331–362. https://doi.org/10.1002/job.322

    Article  Google Scholar 

  25. Gao, W., Liu, Y., Liu, Z., & Li, J. (2018). How does presence influence purchase intention in online shopping markets? An explanation based upon self-determination theory. Behaviour & Information Technology, 37(8), 786–799. https://doi.org/10.1016/j.chb.2017.09.002

    Article  Google Scholar 

  26. Gilal, F. G., Zhang, J., Gilal, N. G., & Gilal, R. G. (2018). Integrating self-determined needs into the relationship among product design, willingness-to-pay a premium, and word-of-mouth: A cross-cultural gender-specific study. Psychology Research and Behavior Management, 11, 227. https://doi.org/10.2147/PRBM.S161269

    Article  PubMed  PubMed Central  Google Scholar 

  27. Gilal, F. G., Zhang, J., Paul, J., & Gilal, N. G. (2019). The role of self-determination theory in marketing science: An integrative review and agenda for research. European Management Journal, 37(1), 29–44. https://doi.org/10.1016/j.emj.2018.10.004

    Article  Google Scholar 

  28. Gold, A. H., Malhotra, A., & Segars, A. H. (2001). Knowledge management: An organizational capabilities perspective. Journal of Management Information Systems, 18(1), 185–214. https://doi.org/10.1080/07421222.2001.11045669

    Article  Google Scholar 

  29. Hagger, M. S., & Chatzisarantis, N. L. (2009). Integrating the theory of planned behaviour and self-determination theory in health behaviour: A meta-analysis. British Journal of Health Psychology, 14(2), 275–302. https://doi.org/10.1348/135910708X373959

    Article  PubMed  Google Scholar 

  30. Hagger, M. S., Chatzisarantis, N. L., & Harris, J. (2006). From psychological need satisfaction to intentional behavior: Testing a motivational sequence in two behavioral contexts. Personality and Social Psychology Bulletin, 32(2), 131–148. https://doi.org/10.1177/0146167205279905

    Article  PubMed  Google Scholar 

  31. Hair, J., Black, W., Babin, B., Anderson, R., & Tatham, R. (2010). Multivariate data analysis (Vol. 7). Prentice Hall.

    Google Scholar 

  32. Halfmann, A., & Rieger, D. (2019). Permanently on call: The effects of social pressure on smartphone users’ self-control, need satisfaction, and wellbeing. Journal of Computer-Mediated Communication, 24(4), 165–181. https://doi.org/10.1093/jcmc/zmz008

    Article  Google Scholar 

  33. Hallanan, L. (2020, March 17). Alibaba uses lockdown to promote its virtual avatar game. Jing Daily. https://jingdaily.com/alibaba-uses-lockdown-to-promote-its-virtual-avatar-game/

  34. Hanus, M. D., & Fox, J. (2015). Persuasive avatars: The effects of customizing a virtual salesperson’s appearance on brand liking and purchase intentions. International Journal of Human-Computer Studies, 84, 33–40. https://doi.org/10.1016/j.ijhcs.2015.07.004

    Article  Google Scholar 

  35. Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135. https://doi.org/10.1007/s11747-014-0403-8

    Article  Google Scholar 

  36. Hombrados-Mendieta, I., García-Martín, M. A., & Gómez-Jacinto, L. (2013). The relationship between social support, loneliness, and subjective wellbeing in a Spanish sample from a multidimensional perspective. Social Indicators Research, 114(3), 1013–1034. https://doi.org/10.1007/s11205-012-0187-5

    Article  Google Scholar 

  37. Huang, Y. C., Backman, K. F., Backman, S. J., & Chang, L. L. (2016). Exploring the implications of virtual reality technology in tourism marketing: An integrated research framework. International Journal of Tourism Research, 18(2), 116–128. https://doi.org/10.1002/jtr.2038

    Article  Google Scholar 

  38. Hur, H. J., Lee, H. K., & Choo, H. J. (2017). Understanding use intention in innovative mobile app service: Comparison between millennial and mature consumers. Computers in Human Behavior, 73, 353–361. https://doi.org/10.1016/j.chb.2017.03.051

    Article  Google Scholar 

  39. Kao, D. (2019, August 26–30). The effects of anthropomorphic avatars vs. non-anthropomorphic avatars in a jumping game. In: Proceedings of the 14th international conference on the foundations of digital games, San Luis Obispo, C.A.

  40. Karapanos, E., Teixeira, P., & Gouveia, R. (2016). Need fulfillment and experiences on social media: A case on Facebook and WhatsApp. Computers in Human Behavior, 55, 888–897. https://doi.org/10.1016/j.chb.2015.10.015

    Article  Google Scholar 

  41. Ki, C. W., Cho, E., & Lee, J. E. (2020). Can an intelligent personal assistant (IPA) be your friend? Para-friendship development mechanism between IPAs and their users. Computers in Human Behavior, 111, 1–10. https://doi.org/10.1016/j.chb.2020.106412

    Article  Google Scholar 

  42. Ki, C. W., & Kim, Y. K. (2016). Sustainable versus conspicuous luxury fashion purchase: Applying self-determination theory. Family and Consumer Sciences Research Journal, 44(3), 309–323. https://doi.org/10.1111/fcsr.12147

    Article  Google Scholar 

  43. Kim, H., & Karpova, E. (2010). Consumer attitudes toward fashion counterfeits: Application of the theory of planned behavior. Clothing and Textiles Research Journal, 28(2), 79–94. https://doi.org/10.1177/0887302X09332513

    Article  Google Scholar 

  44. Kim, H. Y., & Lee, Y. (2020). The effect of online customization on consumers’ happiness and purchase intention and the mediating roles of autonomy, competence, and pride of authorship. International Journal of Human-Computer Interaction, 36(5), 403–413. https://doi.org/10.1080/10447318.2019.1658375

    Article  Google Scholar 

  45. Kim, K. Y., Schmierbach, M. G., Chung, M. Y., Fraustino, J. D., Dardis, F., & Ahern, L. (2015). Is it a sense of autonomy, control, or attachment? Exploring the effects of in-game customization on game enjoyment. Computers in Human Behavior, 48, 695–705. https://doi.org/10.1016/j.chb.2015.02.011

    Article  Google Scholar 

  46. Kim, S. C., Yoon, D., & Han, E. K. (2016). Antecedents of mobile app use among smartphone users. Journal of Marketing Communications, 22(6), 653–670.

    Article  Google Scholar 

  47. Kohan, S. E. (2020, February 9). Mobile commerce to grow 68% by 2022 as more people shop on their phones. Forbes. https://www.forbes.com/sites/shelleykohan/2020/02/09/mobile-commerce-to-grow-68-by-2022-as-more-people-shop-on-their-phones/?sh=2b30b984652d

  48. Kwahk, K. Y., & Kim, B. S. (2017). Effects of social media on consumers’ purchase decisions: Evidence from Taobao. Service Business, 11(4), 803–829. https://doi.org/10.1007/s11628-016-0331-4

    Article  Google Scholar 

  49. La Guardia, J. G., Ryan, R. M., Couchman, C. E., & Deci, E. L. (2000). Within-person variation in security of attachment: A self-determination theory perspective on attachment, need fulfillment, and wellbeing. Journal of Personality and Social Psychology, 79(3), 367. https://doi.org/10.1037/0022-3514.79.3.367

    Article  PubMed  Google Scholar 

  50. Legault, L. (2017). The need for competence. In V. Zeigler-Hill & T. K. Shackelford (Eds.), Encyclopedia of personality and individual differences (pp. 1–3). Springer International Publishing. https://doi.org/10.1007/978-3-319-28099-8_1123-1

    Chapter  Google Scholar 

  51. Li, D. D., Liau, A. K., & Khoo, A. (2013). Player-Avatar identification in video gaming: Concept and measurement. Computers in Human Behavior, 29(1), 257–263. https://doi.org/10.1016/j.chb.2012.09.002

    Article  Google Scholar 

  52. Li, H., Liu, Y., Xu, X., Heikkilä, J., & Van Der Heijden, H. (2015). Modeling hedonic is continuance through the uses and gratifications theory: An empirical study in online games. Computers in Human Behavior, 48, 261–272. https://doi.org/10.1016/j.chb.2015.01.053

    CAS  Article  Google Scholar 

  53. Liao, G. Y., Cheng, T., & Teng, C. I. (2019). How do avatar attractiveness and customization impact online gamers’ flow and loyalty? Internet Research, 29(2), 349–366. https://doi.org/10.1108/IntR-11-2017-0463

    Article  Google Scholar 

  54. Liao, G. Y., Pham, T. T. L., Cheng, T., & Teng, C. I. (2020). Impacts of real-world need satisfaction on online gamer loyalty: Perspective of self-affirmation theory. Computers in Human Behavior, 103, 91–100. https://doi.org/10.1016/j.chb.2019.09.016

    Article  Google Scholar 

  55. Magrath, V., & McCormick, H. (2013). Marketing design elements of mobile fashion retail apps. Journal of Fashion Marketing and Management: An International Journal, 17(1), 115–134. https://doi.org/10.1108/13612021311305173

    Article  Google Scholar 

  56. Mäntymäki, M., & Salo, J. (2010, June 20–23). Trust, social presence and customer loyalty in social virtual worlds. In: The 23rd Bled eConference, Bled, Slovenia.

  57. Merhi, M. I. (2016). Toward a framework for online game adoption. Computers in Human Behavior, 60, 253–263. https://doi.org/10.1016/j.chb.2016.02.072

    Article  Google Scholar 

  58. Merriam-Webster. (n.d.). Sense of achievement. https://www.merriam-webster.com/dictionary/sense%20of%20achievement

  59. Mileva, G. (2019, February 11). How augmented reality is redefining the fashion industry. AR Post. https://arpost.co/2019/02/11/how-augmented-reality-is-redefining-the-fashion-industry/

  60. Moon, J., Hossain, M. D., Sanders, G. L., Garrity, E. J., & Jo, S. (2013). Player commitment to massively multiplayer online role-playing games (MMORPGs): An integrated model. International Journal of Electronic Commerce, 17(4), 7–38. https://doi.org/10.2753/JEC1086-4415170401

    Article  Google Scholar 

  61. Morgan, B. (2020, September 17). How retailers use mobile apps to improve shopping experiences during COVID. Forbes. https://www.forbes.com/sites/blakemorgan/2020/09/17/how-retailers-use-mobile-apps-to-improve-the-pandemic-shopping-experiences/?sh=40f1fa683372

  62. Nam, C. H., Dong, H. J., & Lee, Y. A. (2017). Factors influencing consumers’ purchase intention of green sportswear. Fashion and Textiles, 4(1), 1–17. https://doi.org/10.1186/s40691-017-0091-3

    Article  Google Scholar 

  63. Ng, E. (2020, May 4). Hong Kong retailers turn to staff-run online shops to boost sales hit by protests, Covid-19 pandemic. South China Morning Post. https://www.scmp.com/business/companies/article/3082650/hong-kong-retailers-turn-staff-run-online-shops-boost-sales-hit

  64. Niemiec, C. P., Soenens, B., & Vansteenkiste, M. (2014). Is relatedness enough? On the importance of need support in different types of social experiences. In N. Weinstein (Ed.), Human motivation and interpersonal relationships: Theory, research, and applications (pp. 77–96). Springer. https://doi.org/10.1007/978-94-017-8542-6_4

    Chapter  Google Scholar 

  65. Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory. McGraw-Hill.

    Google Scholar 

  66. Pansari, A., & Kumar, V. (2017). Customer engagement: The construct, antecedents, and consequences. Journal of the Academy of Marketing Science, 45(3), 294–311. https://doi.org/10.1007/s11747-016-0485-6

    Article  Google Scholar 

  67. Parker, C. J., & Wang, H. (2016). Examining hedonic and utilitarian motivations for m-commerce fashion retail app engagement. Journal of Fashion Marketing and Management, 20(4), 487–506. https://doi.org/10.1108/JFMM-02-2016-0015

    Article  Google Scholar 

  68. Patrick, H., Knee, C. R., Canevello, A., & Lonsbary, C. (2007). The role of need fulfillment in relationship functioning and wellbeing: A self-determination theory perspective. Journal of Personality and Social Psychology, 92(3), 434. https://doi.org/10.1037/0022-3514.92.3.434

    Article  PubMed  Google Scholar 

  69. Petro, G. (2021, March 5). How to not lose it all in an online-first world. Forbes. https://www.forbes.com/sites/gregpetro/2021/03/05/how-to-not-lose-it-all-in-an-online-first-world/?sh=21a9076837a5

  70. Rabimov, S. (2020, September 23). 13 Global fashion apps on the rise. Forbes. https://www.forbes.com/sites/stephanrabimov/2020/09/23/13-global-fashiin-apps-on-the-rise/?sh=1e7d4bd028f4

  71. Ramkumar, B., & Woo, H. (2018). Modeling consumers’ intention to use fashion and beauty subscription-based uponline services (SOS). Fashion and Textiles, 5(1), 1–22. https://doi.org/10.1186/s40691-018-0137-1

    Article  Google Scholar 

  72. Ratan, R., & Sah, Y. J. (2015). Leveling up on stereotype threat: The role of avatar customization and avatar embodiment. Computers in Human Behavior, 50, 367–374. https://doi.org/10.1016/j.chb.2015.04.010

    Article  Google Scholar 

  73. Rauschnabel, P. A., Felix, R., & Hinsch, C. (2019). Augmented reality marketing: How mobile AR-apps can improve brands through inspiration. Journal of Retailing and Consumer Services, 49, 43–53.

    Article  Google Scholar 

  74. Reeve, J. (2002). Self-determination theory applied to educational settings. In E. L. Deci & R. M. Ryan (Eds.), Handbook of self-determination research (Vol. 2, pp. 183–204). The University of Rochester Press.

    Google Scholar 

  75. Reis, H. T., Sheldon, K. M., Gable, S. L., Roscoe, J., & Ryan, R. M. (2000). Daily wellbeing: He role of autonomy, competence, and relatedness. Personality and Social Psychology Bulletin, 26(4), 419–435. https://doi.org/10.1177/0146167200266002

    Article  Google Scholar 

  76. Rosen, S. (2001). Sticky website is key to success. Communication World, 18(3), 36.

    Google Scholar 

  77. Ryan, R. (2009). Self determination theory and well being. Social Psychology, 84(822), 848.

    Google Scholar 

  78. Ryan, R. M., & Deci, E. L. (2000a). Intrinsic and extrinsic motivations: Classic definitions and new directions. Contemporary Educational Psychology, 25(1), 54–67. https://doi.org/10.1006/ceps.1999.1020

    CAS  Article  PubMed  Google Scholar 

  79. Ryan, R. M., & Deci, E. L. (2000b). Self-determination theory and the facilitation of intrinsic motivation, social development, and wellbeing. American Psychologist, 55(1), 68. https://doi.org/10.1037/0003-066X.55.1.68

    CAS  Article  Google Scholar 

  80. Ryan, R. M., Rigby, C. S., & Przybylski, A. (2006). The motivational pull of video games: A self-determination theory approach. Motivation and Emotion, 30(4), 344–360. https://doi.org/10.1007/s11031-006-9051-8

    Article  Google Scholar 

  81. Sailer, M., Hense, J. U., Mayr, S. K., & Mandl, H. (2017). How gamification motivates: An experimental study of the effects of specific game design elements on psychological need satisfaction. Computers in Human Behavior, 69, 371–380. https://doi.org/10.1016/j.chb.2016.12.033

    Article  Google Scholar 

  82. Sheldon, K. M., Elliot, A. J., Kim, Y., & Kasser, T. (2001). What is satisfying about satisfying events? Testing 10 candidate psychological needs. Journal of Personality and Social Psychology, 80(2), 325. https://doi.org/10.1037/0022-3514.80.2.325

    CAS  Article  PubMed  Google Scholar 

  83. Shim, S. I., Kwon, W. S., Chattaraman, V., & Gilbert, J. E. (2012). Virtual sales associates for mature consumers: Technical and social support in e-retail service interactions. Clothing and Textiles Research Journal, 30(3), 232–248. https://doi.org/10.1177/0887302X12456903

    Article  Google Scholar 

  84. Singh, S. (2012). Gamification: A strategic tool for organizational effectiveness. International Journal of Management, 1(1), 108–113. https://doi.org/10.15410/aijm/2012/v1i1/50480

    Article  Google Scholar 

  85. Sioni, S. R., Burleson, M. H., & Bekerian, D. A. (2017). Internet gaming disorder: Social phobia and identifying with your virtual self. Computers in Human Behavior, 71, 11–15. https://doi.org/10.1016/j.chb.2017.01.044

    Article  Google Scholar 

  86. Skhirtladze, N., Van Petegem, S., Javakhishvili, N., Schwartz, S. J., & Luyckx, K. (2019). Motivation and psychological need fulfillment on the pathway to identity resolution. Motivation and Emotion, 43(6), 894–905. https://doi.org/10.1007/s11031-019-09795-5

    Article  Google Scholar 

  87. So, K. K. F., King, C., Sparks, B. A., & Wang, Y. (2016). The role of customer engagement in building consumer loyalty to tourism brands. Journal of Travel Research, 55(1), 64–78. https://doi.org/10.1177/0047287514541008

    Article  Google Scholar 

  88. Sørebø, Ø., Halvari, H., Gulli, V. F., & Kristiansen, R. (2009). The role of self-determination theory in explaining teachers’ motivation to continue to use e-learning technology. Computers & Education, 53(4), 1177–1187. https://doi.org/10.1016/j.compedu.2009.06.001

    Article  Google Scholar 

  89. Statista. (2020, October). M-commerce share of total digital commerce spending in the United States from 2nd quarter 2010 to 2nd quarter 2020. https://www.statista.com/statistics/252621/share-of-us-retail-e-commerce-dollars-spent-via-mobile-device/

  90. Teng, C. I. (2010). Customization, immersion satisfaction, and online gamer loyalty. Computers in Human Behavior, 26(6), 1547–1554. https://doi.org/10.1016/j.chb.2015.01.053

    Article  Google Scholar 

  91. Teng, C. I. (2019). How avatars create identification and loyalty among online gamers. Internet Research, 29(6), 1443–1468. https://doi.org/10.1108/INTR-05-2018-0222

    Article  Google Scholar 

  92. Torok, G. (2020, September 10). Pandemic potential: Four app development trends in a post-COVID-19 world. Forbes. https://www.forbes.com/sites/forbestechcouncil/2020/09/10/pandemic-potential-four-app-development-trends-in-a-post-covid-19-world/?sh=6d98f0cd492f

  93. Trivedi, J. P., & Trivedi, H. (2018). Investigating the factors that make a fashion app successful: The moderating role of personalization. Journal of Internet Commerce, 17(2), 170–187. https://doi.org/10.1080/15332861.2018.1433908

    Article  Google Scholar 

  94. Tseng, F. C., Cheng, T., Yu, P. L., Huang, T. L., & Teng, C. I. (2019). Media richness, social presence and loyalty to mobile instant messaging. Industrial Management & Data Systems, 119(6), 1357–1373. https://doi.org/10.1108/IMDS-09-2018-0415

    Article  Google Scholar 

  95. van Heerde, H. J., Dinner, I. M., & Neslin, S. A. (2019). Engaging the unengaged customer: The value of a retailer mobile app. International Journal of Research in Marketing, 36(3), 420–438.

    Article  Google Scholar 

  96. Vansteenkiste, M., Zhou, M., Lens, W., & Soenens, B. (2005). Experiences of autonomy and control among Chinese learners: Vitalizing or immobilizing? Journal of Educational Psychology, 97(3), 468. https://doi.org/10.1037/0022-0663.97.3.468

    Article  Google Scholar 

  97. Wehmeyer, M. L., & Little, T. D. (2013). Self-determination. In M. L. Wehmeyer (Ed.), The Oxford handbook of positive psychology and disability (pp. 116–136). Oxford University Press.

    Chapter  Google Scholar 

  98. Wertenbroch, K., Schrift, R. Y., Alba, J. W., Barasch, A., Bhattacharjee, A., Giesler, M., Knobe, J., Lehmann, D. R., Matz, S., Nave, G., Parker, J. R., Puntoni, S., Zheng, Y., & Zwebner, Y. (2020). Autonomy in consumer choice. Marketing Letters, 31, 429–439.

    Article  Google Scholar 

  99. Wilson, P. M., Mack, D. E., & Grattan, K. P. (2008). Understanding motivation for exercise: A self-determination theory perspective. Canadian Psychology: Psychologie Canadienne, 49(3), 250–256. https://doi.org/10.1037/a0012762

    Article  Google Scholar 

  100. Xi, N., & Hamari, J. (2019). Does gamification satisfy needs? A study on the relationship between gamification features and intrinsic need satisfaction. International Journal of Information Management, 46, 210–221. https://doi.org/10.1016/j.ijinfomgt.2018.12.002

    Article  Google Scholar 

  101. Yoo, C. W., Sanders, G. L., & Moon, J. (2013). Exploring the effect of e-WOM participation on e-Loyalty in e-commerce. Decision Support Systems, 55(3), 669–678. https://doi.org/10.1016/j.dss.2013.02.001

    Article  Google Scholar 

  102. Yu, I. (2020, August 10). Frontline of Taobao Maker Festival 2020. New blood: A booming innovative online market, a rebirth amid pandemic. DotDotNews. https://english.dotdotnews.com/a/202008/10/AP5f3120dee4b0d6297fa120b1.html

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Acknowledgements

I would like to acknowledge the research assistance of Miss Ellie KO at Hong Kong International School.

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This research was not funded.

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OL: Assisted in conceptualization and some parts of the drafting. CWK: Conceptualization, writing/editing, data analysis, and supervision. Both authors read and approved the final manuscript.

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Correspondence to Chung-Wha (Chloe) Ki.

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We know of no conflicts of interest associated with this publication, and there has been no significant financial support for this work that could have influenced its outcome. As the corresponding author, I confirm that the manuscript has been read and approved for submission by all the named authors.

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Oiyan Lau, a master student, and Dr. Chung-Wha (Chloe) Ki, an assistant professor, at Hong Kong Polytechnic University.

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Appendix: Key features of Taobao life

Appendix: Key features of Taobao life

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Lau, O., Ki, CW. Can consumers’ gamified, personalized, and engaging experiences with VR fashion apps increase in-app purchase intention by fulfilling needs?. Fash Text 8, 36 (2021). https://doi.org/10.1186/s40691-021-00270-9

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Keywords

  • Mobile commerce
  • Virtual reality (VR) mobile apps
  • 3D avatar-based VR
  • Game-based VR
  • Digital fashion
  • Digital clothing
  • In-app purchase