Science & Technology Development Journal: Economics- Law & Management

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The effects of perceived effectiveness of e-commerce institutional mechanisms on customer stickiness: The role of customer value co-creation in ota platforms in Viet Nam






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Abstract

Information and communication technologies have been creating new consumption habits. Especially, after COVID-19 pandemic, online transactions become popular and using online travel agent platforms such as Booking.com, Agoda, Trip.com, Traveloka has also been a widespread practice for Vietnamese tourists. Actively participating in online travel agent platforms enables tourists to contribute their knowledge and expertise throughout the service process to co-create service value. The purpose of this study is to examine the effects of perceived effectiveness of e-commerce institutional mechanisms on customer stickiness under the mediation role of customer value co-creation on e-commerce platforms. Based on service dominant logic, the proposed research model includes 9 constructs and 15 hypotheses that mainly focuses on the relationship among customer value co-creation, perceived effectiveness of e-commerce institutional mechanisms and customer stickiness. This model is validated by data collected from 258 Vietnamese tourists who used any online travel agent platform. The results show that: (1) customer value co-creation is influenced by perceived effectiveness of e-commerce institutional mechanisms, customer experience quality, customer perceived ease-of-use, customer-to-customer interaction quality and customer perceived service climate; (2) customer value co-creation influences customer stickiness, customer empowerment and customer perceived value. Factors in the validated model explain 52.8% of the variance of customer stickiness. This study contributes to the growing service research an empirical evidence which affirms the importance of perceived effectiveness of e-commerce institutional mechanisms for value co-creation and of value co-creation on customer stickiness in ecommerce services. It adds to the existing literature by proving that an institution-based trust lever like perceived effectiveness of e-commerce institutional mechanisms can initiate other resources to jointly lead to customer value co-creation on e-commerce platforms. Managers in the tourism field can use these results as references to develop solutions improving customer stickiness through fostering customer value co-creation.

INTRODUCTION

Recently, firms from diversified business lines have fostered their customers to collaborate with them by participating in the decision making, design and distribute products or services, share opinions and knowledge, and be members in value co-creation processes 1 . Value is conceptualized as “the customer’s overall assessment of the utility of a product based on what is received and what is given” [ 2 , p.14], or as “the collaborative creation of value by the interaction of different actors, fundamentally customers and the firm” [ 3 , p.1530]. The value co-creation process can enable customers and the firms to devote their knowledge and expertise throughout service interaction 4 . This reflects that value is earned from individualized experiences instead of “being embedded in the offering” [ 5 , p.401] and value co-creation experience is a new source of competitive advantage for firms 6 .

Thanks to the development of information and communication technologies, there are new manners for customers to participate in value co-creation experience, especially in the service using process. Service using process encompasses important customer-firm interactions that go through crucial stages for developing long-lasting collaborative relationships between customers and the firms 7 . Information and communication technologies have favored the emergence of sophisticated e-commerce platforms 8 including online travel agent (OTA) platforms that offer customers possibilities to interact and motivate them to collaborate with the firms 9 , 10 . These platforms “promote value creation through relationships, facilitate user-generated contents and enrich the purchase experience” [ 11 , p.183]. They help motivating a more social usage of technology 12 and determining customers’ decisions 13 .

The aim of this study is twofold. Firstly, we explore the effects of perceived effectiveness of e-commerce institutional mechanisms (PEEIM), customer experience quality, customer perceived ease-of-use, customer-to-customer (C2C) interaction quality, and customer perceived service climate on customer value co-creation. Secondly, we explore the effects of customer value co-creation on customer empowerment, customer perceived value, and customer stickiness. Basing on service dominant logic, we propose a research model with 9 constructs and 15 hypotheses that mainly focuses on the relationship among customer value co-creation, PEEIM and customer stickiness. This research model is validated with a sample of 258 Vietnamese tourism customers who used any OTA platform. This study contributes empirical evidence that brings out the significant role of customer value co-creation in the service process involved in OTA platforms.

THEORETICAL BACKGROUND

Service dominant logic

Service science is an interdisciplinary field that “combines organization and human understanding with business and technological understanding to categorize and explain the many types of service systems that exist as well as how service systems interact and evolve to co-create value” [ 14 , p.18]. Grounded in eleven foundational premises, service dominant (S-D) logic including its definition of service as the application of competences for the benefit of another has been proposed as an appropriate philosophical foundation for the development of service science 15 , 16 . S-D logic is an alternative to the traditional goods-dominant paradigm for understanding economic exchange and value co-creation 17 . This service-centered view is based on the idea that service is the basis of all exchange, it suggests that customers and the firms initiatively share resources to jointly unfold sensible solutions to creating market needs 18 . In this point of view, service systems are “value co-creation configurations of people, technology, value propositions connecting internal and external service systems, and shared information” [ 14 , p.18].

Customer value co-creation

Customers are co-creators of value is a focused idea in S-D logic, which view customers as active actors in the production of personalized offers 19 . Based on S-D logic, value is described in the form of “value in use” where value is produced by both customers and the firms, not just added to the product or service 4 . The concept of value co-creation has gained research momentum in recent decades 20 , 21 . During value co-creation process, Mascarenhas et al. suggested that customers are members of productive processes, they enjoy their significant role in the productive chain, which one after another reinforces their good faith toward the firms and allows the firms to access a extensive range of useful opinions and knowledge from them 22 . The value co-creation process can improve brand equity of the firms because it creates a circumstance that equivalent benefits retailers and customers 23 .

According to many scholars [e.g. 24 , 3 , 5 ], value co-creation is the collaborative creation of value while different actors, fundamentally customers and the firms interact. Yi & Gong determined value co-creation as “a multidimensional construct including information seeking, personal interaction, information sharing, responsible behavior, helping, advocacy, feedback, and tolerance” [ 25 , p.1281]. These behaviors show the integration of customers’ resources within service systems. Laud & Karpen defined value co-creation as “participation and contribution to the value co-creation/resource-integration process” [ 26 , p.789]. That means value co-creation involves different aspects which engage customers and create mutual value for the firms and themselves 27 . In this study, value co-creation can be understood as the high involvement of customers in product or service co-creation and customization 28 , 29 . Not forcing customers to participate in co-creation, the firms provide chances and make the essential conditions for customers easier in creating their favorite value 30 , 3 .

It is important to study value co-creation because it encourages customers’ creativity and provides customers and the firms with a mutual value 27 . In the past, scholars acknowledged value co-creation as “the mediator of supply and demand relationships that interact and collaborate beyond the existing value chain model” [ 31 , p.84]. Then, Prahalad argued that the firms alone cannot create value because they need interacting with customers to generate thoughts 32 . Recently, growing number of scholars have considered value co-creation as an essential strategy for the e-commerce market [e.g., 33 , 34 , 35 , 36 , 13 ].

Perceived effectiveness of e-commerce institutional mechanisms

Institutional mechanisms are “impersonal structures implemented or created by third parties to create conditions that safeguard transaction success”, these mechanisms include “bureaucratic sanctions and safeguards that generalize beyond a given transaction and beyond specific sets of exchange partners” [ 37 , p.42]. Institutional mechanisms characterize “modern and complex societies”, such as bank supervision of escrow accounts and legal employment contracts [ 38 , p.972]. They are “neither transaction-specific nor party-specific”, they are “external world known in common” and are “institutionalized to ensure that all transactions will happen as promised” [ 39 , p.63].

Institutional mechanisms in the e-commerce environment have emerged in various forms in recent years. Common online safeguards include online credit card guarantees, escrow services, and privacy protection 37 , 40 . For instance, online escrow service providers authorize payments only after customers accept the deal and agree to pay, providing a safety net against potential risks in order fulfillment. Similarly, credit card online payment guarantees provide resources from financial institutions to warn buyers against potential fraudulent behavior of sellers. These third parties are highly popular institutional mechanisms safeguarding e-commerce environment nowadays 37 , 41 .

The concept PEEIM is constructed to express customer perceptions of an e-commerce institutional environment which is vendor independent. PEEIM is defined as an online customer’s general perception that safeguards appear in the e-commerce environment to protect them from implicit risks in online transactions 42 . PEEIM refers to online customer perceptions that third-party safeguarding mechanisms, such as online credit card guarantees, escrow services and privacy protection exist to protect them against potential risks in the e-commerce environment 43 . Such third party structures or institutional mechanisms include “feedback features, escrow services, and credit card guarantees”, all of which can help facilitate online transactions conducted successfully 37 .

Customer stickiness

Many scholars find that the conversion cost of networks is very low and retaining customers is not a facile mission 44 . Therefore, they focus on the stickiness of online behavior in order to explore how to intensify customer’s dependence on websites, and the concept of customer stickiness is proposed 45 . Beddoe-Stephens defined customer stickiness as the ability of a website to constantly motivate customers to browse reiteratively 46 . Customer stickiness describes the ability of a website to attract customers to access the website for long duration 47 . Li et al. pointed out that even if there are marketing operations from other social networks, customer stickiness still assures them of a reiterated visit that firm’s social network 48 .

Lin reckoned that stickiness is customers’ unconscious willingness to revisit a firm’s social network 49 . Wang believed that customers need to pay many extra costs when they consider changing their consumption behaviors or habits, thus, to avoid losses, customers uphold their original behaviors or habits 50 . The definition of customer stickiness is similar to the cement formed when customers have adopted a positive attitude towards content, features of products or services and developed faithful behaviors 51 . Lin et al. defined customer stickiness as the customer’ time spent on a firm’s social network 52 . Other scholars explain customer stickiness as all costs that customers pay when they alter in consumption behaviors or habits. According to Ren et al., customer stickiness is the power of a website to constantly make customers browse repeatedly 44 . Customer stickiness can be represented in the shape of return visits and repeat purchases 53 . It improves positive relationships between customers and the firms in the cyber context.

HYPOTHESES DEVELOPMENT

The relationship between PEEIM and customer value co-creation

The effect of PEEIM has been studied popularly in the context of online purchase. PEEIM produces a less adventurous transaction environment by cutting down contextual uncertainties through explicit regulatory assurances 42 . Such mechanisms are particularly important in developing the motivation to participate in the value co-creating process 7 . Customers believe in institutional mechanisms will be ready for “information seeking, personal interaction, information sharing, responsible behavior, helping, advocacy, feedback and tolerance” 29 . The more effective institutional mechanisms are, the more diversified participation behaviors customers make 54 , 55 . In the situation of new business model of import cross-border e-commerce platform ecosystem, Chen et al. emphasized the role of institution-based trust in fortifying customer participation 35 . Therefore, we propose the following hypothesis: (H1) PEEIM positively impacts customer value co-creation.

Many research results have been validating the considerable influence of customer experience quality on customers’ positive behaviors, creating a prominent level of customer experience is of importance. Customer experience is defined as “the customer’s subjective response to the holistic direct and indirect encounter with the firm which includes the communication encounter, the service encounter and the consumption encounter” 56 . According to Gentile et al., there are six primary components of customer experience including sensorial, emotional, cognitive, pragmatic, lifestyle, and relational component 57 . Verhoef et al. suggested a conceptual model of customer experience quality which includes social environment, service interface, assortment, retail atmosphere, price, and promotions 58 . Kim & Choi determined customer experience quality as a one-dimensional construct with the argument that customer experience is holistic in nature and customer experience quality is diversified depending on the subjectivity of value-in-use 59 . When institutional mechanisms are existing to reduce contextual risks in online transaction environment, customers are impulse to purchase online 60 and the quality of customer’s response to e-commerce retailers is improved 61 . If PEEIM is effective in regulating online transaction environment, online customers may form their positive experience regarding some facets of e-commerce service 62 , 63 . Inversely, if online customers are not sure of themselves that the effectiveness of institutional mechanisms will set appropriate rules of conduct in the e-commerce environment, they feel insecure 60 , 64 and the quality of customer experience which is determined based on “total experience” decreases 43 . Therefore, we propose the following hypothesis: (H2) PEEIM positively impacts customer experience quality.

According to Davis, the perceived ease-of-use of a technological system is a variable belonging TAM 65 . This construct has been popularly employed as an antecedent of the usage of a technology for performing a task. Perceived ease-of-use is the degree to which a person believes that using a particular system would be free of effort. In e-commerce context, it applies to the degree to which customers believe that using an e-commerce platform is free of effort 48 , 19 . The perceived expertise of customers or their self-efficacy concerned to the task will affect their value co-creation intention or value co-creation behavior 66 , 67 . Therefore, we propose the following hypothesis: (H3) PEEIM positively impacts customer perceived ease-of-use.

Lemke et al. propose that C2C interaction quality is “a critical element of the delivery of a superior customer experience” [ 56 , p.850]. It refers to “the perceived judgment of the superiority of customers’ interaction with one another” 56 , p.851]. The development of information and communication technologies has highlighted the importance of C2C interactions in IT-related services such as e-commerce 24 . C2C interaction quality is perceived basing on signs from interactions with other customers (peers) that occur explicitly and implicitly 68 , 69 , 70 . According to Fang et al., at the general level, PEEIM captures the particular ability of institutional mechanisms to lighten contextual uncertainty 42 . Some researches [e.g. 71 , 72 ] affirmed that there is cause and effect relationship between institutional mechanisms and contextual interactions between customer and customer. Therefore, we propose the following hypothesis: (H4) PEEIM positively impacts C2C interaction quality.

Jung et al. recommended the concept of customer perceived service climate as remarkable organizational practices and procedures which are enacted in service situations 73 . This concept gives the signal of the extent to which a service organization teaches and prioritizes customer service. Customer perceived service climate includes how or if a service provider addresses problematic interactions, and this is “a service management best practice entrust” [ 74 , p.1214]. According to Colm et al., customer perceived service climate is mentioned as other customer perceptions of strategic factors controlled by a firm, for example, decisions made in service design that affect service experience of customers 75 . In online purchase processes, when PEEIM are effective in regulating the transaction environment, customers may highly appraise the effectiveness of service climate 63 . Therefore, we propose the following hypothesis: (H5) PEEIM positively impacts customer perceived service climate.

Basing on social exchange theory, a positive customer experience is similarly to motivate customers to repay the firms by engaging in spontaneous behaviors 76 . People are incline to participate in value co-creation behavior when a social exchange occurs successfully, because an person who experiences a high-quality relationship is apt to requite and act cooperatively 59 . That is, a higher or lower level of customer experience quality is awaited to help increasing or decreasing customer co-creation behavior 77 . Therefore, we propose the following hypothesis: (H6) Customer experience quality positively impacts customer value co-creation.

Recent research examined the effect of perceived ease-of-use on the attitude towards e-commerce [e.g. 78 ], intention to adopt e-commerce [e.g. 79 ], and behaviors regarding value co-creation on e-commerce platform 80 . The relationship between perceived ease-of-use and attitude toward using technology such as e-commerce is well established in the literature. Truly, customers will not carry out an online purchase activity unless they have the essential expertise and skills to assume the behavior 81 . Navigation skills have positive influences on the likelihood that people will adopt the e-commerce platform for purchase purposes. Customer expertise in using e-commerce platform has a direct impact on how customers participate and contribute to the value co-creation process or resource-integration process 12 . As a consequence, it is forecasted that customer perceived ease-of-use will positively affect customer expertise, because skilled customers may have a broader and more diverse e-commerce experience 82 . Therefore, we propose the following hypothesis: (H7) Customer perceived ease-of-use positively impacts customer value co-creation.

According to Blasco-Arcas et al., in the situation of coproduction in buying online customized products, the personalization experienced and the interactivity experienced during the purchase positively influences customer participation 5 . Luo et al. proposed that C2C interactions can help learning how the co-creation experience is perceived in e-commerce platform 83 . It also encourages “the interchange of information and the establishment of contacts that customers integrate into the purchase” [ 83 , p.1312]. Antón et al. discovered that inter-visitor interactions among visitors of museums can make them enhance experiential values such as “learning, entertainment, escapism, and aesthetics” [ 84 , p.1410]. Value co-creation can occur as a result of conversations among customers, and customers are contented by reciprocating resources among each other 85 . Pandey & Kumar emphasize that social community affects positive experiences among customers during service encounter, hence leading to value co-creation 86 . Therefore, we propose the following hypothesis: (H8) C2C interaction quality positively impacts customer value co-creation.

According to Jung et al., customer service climate is used to assess whether a firm has policies and procedures in place for its customers to manage value co-creation behavior 73 . This concept is based on customer-side assessment of service climate while considering the unforeseen states of customer participation. No matter how diversified customers treat one another in service environment, customer service climate provides an mediate control mechanism in these environment 87 . On this point, customer service climate is the same as customer perception of the other strategic factors controlled by the firms, for example, “decisions made in service design that influence a customer’s service experience” [ 75 , p.226]. Many scholars find out the effect of customer perceived service climate on customer participation in various online context [ 83 , 88 ]. Therefore, we propose the following hypothesis: (H9) Customer perceived service climate positively impacts customer value co-creation.

The relationship between customer value co-creation and customer stickiness

In the context of e-commerce, customers and the firms interact with each other and notice common topics. In that process, customers will continuously keep track of the e-commerce platform for more valuable information 89 . Some recent findings have highlighted that customer participation is positively associated with customer stickiness 90 , 91 . Customer value co-creation is believed to be an important factor of stickiness 92 , 93 . According to Rahmana & Irawan, a firm often develops a virtual community to facilitate customers’ information exchange 53 . This activity provides customers with chances to represent their comments, make remarks, answer questions and give suggestions about products or services. When customers frequently interact in taking and giving information on products, they will face less uncertainty. The congruence of belief produces a feeling of satisfaction and fulfillment. Based on this perspective, Rahmana & Irawan suggested that if customers powerfully take and give their opinions and knowledge related to products or services, they will be strongly attached to keep using products or services 53 . Therefore, we propose the following hypothesis: (H10) Customer value co-creation positively impacts customer stickiness.

Customer empowerment confirms the role of customers in service creation and transfer from passive receivers to active participants 54 , 94 . Customer empowerment is “a customer’s subjective experience that they have considerable ability to intentionally produce desired outcomes” [ 95 , p.726]. It is the act of giving customers power through advanced information and wider understanding 96 , and a subjective state resulting in the perception of increasing control 97 . According to Ramani & Kumar, customer empowerment focuses on the degree to which a firm give chances to its customers to engage with the brand and influence transaction type 98 . Palumbo affirmed that customer empowerment may emerge as the result of value co-creation where customers have the control over their health and will be conscious of the available resources in the healthcare service system 99 . Khenfer et al. asserted that customer-employee interaction is necessary for a successful service process 100 .

Consequently, the aim of empowering customers is to heighten their service experience by implementing their opinions and knowledge, allowing the service staff to comprehend customer needs and expectations 101 . Customers are more strengthened when they have positive experiences and receive a personalized response from service providers. That means when customers are empowered with abilities, knowledge, and choice to perform a task, they are more empowered. Because customers are responsible for the outcome, they take responsibility for their decisions 102 . Moussafir & Qmichchou stated that customer empowerment refers to “the degree to which a firm provides chances to its customers to interact by communicating information, disapproval, appreciation, recommendations, opinions and knowledge about its products, services, and policies” [ 103 , p.315]. So, the more customers participate in value co-creating processes, the more customers feel empowered 103 , 21 . Therefore, we propose the following hypothesis: (H11) Customer value co-creation positively impacts customer empowerment.

When customers have the sensation of control and independence in the service process, they actively participate 104 . Customer perceived value is the difference between customer value and customer cost for a product or service 105 . When customers believe that a product or service has value, they think consuming that product or service is important 2 . Conformable to the consumption value theory, customer perceived value includes “five types of value: functional, social, emotional, cognitive, and conditional” [ 106 , p.162]. Some scholars proposed three dimensions of customer perceived value, i.e. functional, social, and emotional 107 , 108 . According to Lloyd & Luk, when customers passively take part in production process, their sense of control over the process will be cut down, and they cannot “reduce risks, control results, and obtain psychological satisfaction through participation” [ 109 , p.178].

Giving an example in the process of video content dissemination, Markley & Davis pointed out that if there are circumstances of imitating creation which leads to the existence of a great number of alike content, customers will not be able to obtain the pleasure of service, and a negative impact on customers perceived value will be the outcome 110 . Jung & Yoo also confirmed that positive customers influence the affection of customers for service 111 . According to Quach et al., users often attempt on the firm-initiated interaction activities in social media, and this could affect the perception of value 112 . Recently, Ren et al. demonstrated that “positive customer participation behavior promotes customer perceived value, whereas negative customer participation behavior reduces it” [ 44 , p.701]. Therefore, we propose the following hypothesis: (H12) Customer value co-creation positively impacts customer perceived value.

Mishra et al. argued that customer empowerment instills positive emotions 113 . Previous research pointed out that customer empowerment is related to service results such as satisfaction and word-of-mouth 114 , 98 . These states lead to customer stickiness 115 , 116 . Mvondo et al. declared that empowered customers incline to buying the brand, praising it in the user community, and recommending it to others 114 . Customers engaged with a product or service will actively purchase it and refer it to others, reflecting their stickiness behavior 44 . According to Moussafir & Qmichchou, experiencing empowerment impulses people’s motivation to repeat the task that they felt empowered 103 . Empowerment is consolidated in customers feeling about accomplishing the task of product development and thus it increases customers' brand loyalty 117 , 118 . In the situation of online co-creation, Werner et al. believed that customers who perceive empowered will be positive and enthusiastic to revisit, repurchase, and they are available to improve relationships or give positive suggestions in the cyber context than less [45]. Therefore, we propose the following hypothesis: (H13) Customer empowerment positively impacts customer stickiness.

Some scholars have focused on customer perceived value and found that customers’ perceptions may impact their behaviors, there is a link between it and customer stickiness 119 , 120 . Ye confirmed that customer perceived value can affect customer stickiness through customer satisfaction when they research on the online Q&A community 121 . Fang & Fang confirmed that perceived entertainment affect customer stickiness in social networks 122 . Basing on the perception-emotion-willingness model, Liu & Zhang found that “functional and emotional value positively influence customers’ repeated purchase willingness by affecting their psychological emotions” [ 123 , p.53]. Meanwhile, El-Adly & Eid discovered that customer perceived value has positive effect on customer satisfaction and faith to malls 124 . Shang & Wu investigated mobile phone shoppers’ willingness to continue using and found the positive effect of perceived value customers’ willingness on continue using 125 . Relying on social exchange theory, customer perceived value disabuses people of the intrinsic motivation of redialing with suppliers. Yuan carried out an empirical study on customers’ continuous use willingness of the mobile reading platform 126 . They found that perceived value has a salient positive impact on customer satisfaction and stickiness. In online brand communities, Chen et al. discovered the positive influences of perceived value, information quality, and community identification on customer stickiness 127 . Therefore, we propose the following hypothesis: (H14) Customer perceived value positively impacts customer stickiness.

Customer empowerment helps to encourage customer participation in resource creation and other collaboration operations 128 that promotes customer perceived value 129 and customer asset value 130 . Customer empowerment makes customers attain products or services that meet their consumption needs, besides, it forms a positive customer experience which positively affects customer perceived value 131 . Hu & Li confirmed that customer empowerment is a mediator in the impact of customer co-creation on their perceived value 132 . Prebensen & Xie also stated that the perceived importance of tourists is a mediator in the relationship of tourist participation and perceived value 133 . Thus, it can be inferred that psychological empowerment affects value co-creation results, especially perceived value 134 . Therefore, we propose the following hypothesis: (H15) Customer empowerment positively impacts customer perceived value.

The theoretic model for hypothesis testing is shown in Figure 1 .

Figure 1 . Theoretic model for hypothesis testing (Note: PEEIM = perceived effectiveness of e-commerce institutional mechanisms; CP = customer value co-creation; STK = customer stickiness; EXPQ = customer experience quality; PEOU = customer perceived ease-of-use; C2C = customer-to-customer interaction; SC = customer perceived service climate; EMP = customer empowerment; VIU = customer perceived value). (Source: The authors)

Figure 1 Theoretic model for hypothesis testing (Note: PEEIM = perceived effectiveness of e-commerce institutional mechanisms; CP = customer value co-creation; STK = customer stickiness; EXPQ = customer experience quality; PEOU = customer perceived ease-of-use; C2C = customer-to-customer interaction; SC = customer perceived service climate; EMP = customer empowerment; VIU = customer perceived value). (Source: The authors)

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METHODOLOGY

First, we conduct preliminary qualitative research to adjust the measurement scale which is based on previous studies. In-depth interview method is used. The number of respondents is nine. These respondents are conveniently selected until information is saturated. They include three professors and six managers in the tourism field, and are asked to review the draft of questionnaire by excluding ambiguous, uncertain, and repetitive questions. The revised questionnaire is composed of three parts: (1) introduction; (2) basic details of respondents; (3) 32 measuring variables which belonged to nine constructs that are in the form of 5-point Likert scale (5=strongly agree, 1=strongly disagree).

Next, we conduct preliminary quantitative research with the sample of 50 tourists who used any OTA platforms. The results show that the measurement scale meets the requirements of reliability and consistency. After that, the main research is conducted with quantitative method. The target population is tourists who used any OTA platforms. We use non-probability sampling. Data is conveniently collected face-to-face (at tourist agencies) or online (in community groups of tourists on social networks). There are 279 respondents, but 21 answer sheets are failed at the quality check-step. Thus, the final sample size is 258, the completion rate is 92.5%.

Partial Least Squares - Structural Equation Modelling (PLS-SEM) is proposed suitable for establishing theoretical parsimony and model simplicity 135 . With a large number of constructs, we apply PLS-SEM to test measurement and hypotheses because it is appropriate to complex and higher-order modelling 136 . Besides, issues regarding factor indeterminacy, factor identification, distributional assumptions, and sample size can be suitably handled by PLS-SEM 137 . We also use a nonparametric bootstrapping to attain the standard errors of the estimates with a path weighting scheme for the inside approximation with 1.000 replications 138 .

RESEARCH FINDINGS

Sample description

In the sample, 43.8% of the respondents belong to the 18-24 age group, 37.2% belong to the 25-34 age group, 34.5% are students, showing that customers who use OTA platforms are incredibly young. 52.7% of the respondents are men, 46.9% are women, 0.4% choose “other”, showing that men use OTA platforms slightly more than women. Most respondents are office staff (49.2%) and students (34.5%). They access OTA platforms several times/year (55.0%) mostly to book restaurant/hotel (44.6%) or book tour (35.7%). Traveloka, Booking, Agoda are three favourite OTA platforms in Vietnam (see Table 1 and Figure 2 ).

Table 1 Demographic profile of respondents

Figure 2 . Some popular OTA platforms in Vietnam (Source: The authors)

Figure 2 Some popular OTA platforms in Vietnam (Source: The authors)

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Measurement model validity and reliability

The Cronbach’s Alpha index ranges from 0.707 to 0.906 exceeding the recommended threshold of 0.70 139 . Internal reliability is established with strong composite reliability ranging from 0.733 to 0.912. Almost all of the standardized factor loadings exceed 0.70 excepting C2C3 (0.658) and C2C4 (0.648). However, these two items are retained because their loadings approach 0.70 and they aid content validity 140 . The average variance extracted (AVE) ranges from 0.528 to 0.842 supporting convergent and discriminant validity. The standardized loadings range from 0.648 to 0.901. The item correlations passes the HTMT test by not surpassing a 0.85 threshold 141 . The square root of each construct’s AVE exceeds the inter-correlations for each construct to exhibit sound psychometric properties 142 . None of the variance inflation factor values exceeded the concerning threshold level of 5 so multicollinearity is not a threat to the measures 139 (see Table 2 and Table 3 ).

Table 2 Measurement scales

Table 3 Means, standard deviations, correlations and reliability estimates

Hypothesis testing

The model’s predictive relevance is assessed by assessing the effect size and explained variance of the endogenous constructs. The results show that the R 2 values of the endogenous constructs range from 0.043 to 0.545, meanwhile the f 2 effect sizes range from 0.023 to 0.449 for the supported hypotheses 145 (see Table 4 and Figure 3 ). The effect sizes range from small to medium to large effects, per the criteria of 0.02, 0.15, and 0.35, respectively 139 . Therefore, the model’s predictive relevance is supported. In structural model estimation, the path from PEEIM to customer value co-creation (β=0.169; p=0.014<0.05) is significant, in support of (H1). The paths from PEEIM to customer experience quality (β=0.423; p=0.000<0.001), customer perceived ease-of-use (β=0.208; p=0.004<0.05), C2C interaction quality (β=0.530; p=0.000<0.001), customer perceived service climate (β=0.507; p=0.000<0.001) are significant, in support of (H2), (H3), (H4), (H5), respectively. The paths from customer experience quality (β=0.163; p=0.020<0.05), customer perceived ease-of-use (β=0.283; p=0.000<0.001), C2C interaction quality (β=0.170; p=0.038<0.05), customer perceived service climate (β=0.197; p=0.002<0.05) to customer value co-creation are significant, in support of (H6), (H7), (H8), (H9), respectively. The paths from customer value co-creation to customer stickiness (β=0.228; p=0.002<0.05), customer empowerment (β=0.557; p=0.000<0.001), customer perceived value (β=0.528; p=0.000<0.001) are significant, in support of (H10), (H11), (H12), respectively. The paths from customer empowerment (β=0.487; p=0.000<0.001) and customer perceived value (β=0.134; p=0.040<0.05) to customer stickiness are significant, in support of (H13) and (H14). Finally, the path from customer empowerment to customer perceived value (β=0.162; p=0.034<0.05) is significant, in support of (H15).

Table 4 Results of hypothesis testing and explained variance

DISCUSSION AND CONCLUSION

Figure 3 . Research model results (Source: The authors)

Figure 3 Research model results (Source: The authors)

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Theoretical implications

This study contributes some theoretical implications. Firstly, value has been believed being co-created through interactions between online customers and the firms 13 , 33 . Although many scholars propose that the new role of customers should be discussed from the perspective of value co-creation, there is still a lack of corresponding empirical evidence 134 . The results of value co-creation should involve customer value and enterprise value because both of them are integral 54 . Existing research on value co-creation limits the value of co-creation to the customer domain 146 because it mostly mentions the effect of customer value co-creation on customer experience value and pays few attention to the profit of value co-creation for the firms 133 , 147 . This study considers that using e-commerce platforms sets up a fundamental stage of the wide process related to customer-firm value co-creation, especially in the situation of using OTA platforms in tourist industry. This study can help understand the value co-creation process of customers and the firms more deeply, relying on customer perspective.

Secondly, the concept of customer stickiness interprets the value created by customers as an essential property of a firm. Customer stickiness is a benefit of customer value co-creation to mention the firms’ interest from value co-creation together with customer empowerment and customer perceived value. In the process of moving towards customer stickiness, firms must strengthen value co-creation activities by supplying necessary resources 21 . In this study, we introduce the concepts of customer value co-creation, customer empowerment and customer perceived value which are important sources of customer stickiness. By validating stickiness is a result of customer value co-creation, customer empowerment and customer perceived value, we confirm the modification of value co-creation from customer perception to enterprise value realization.

Thirdly, though the applicability of value co-creation in e-commerce industry is rising, previous studies overlook an important antecedent: PEEIM. This study fills the research gap by advancing the understanding of PEEIM as trust production mechanisms. In this study, we introduce the concepts of PEEIM, customer experience quality, customer perceived ease-of-use, C2C interaction and customer perceived service climate which are important sources of customer value co-creation. While PEEIM is considered an institutional resource; customer experience quality, C2C interaction and customer perceived ease of use represent various resources belonging to the focal customer, other customers, and technology in a respective way. A large number of studies have explored their direct influences on trust 43 but few research recognized that different sources of trust production, such as PEEIM, could complement each other. Findings of this study add to the existing literature by proving that an institution-based trust lever like PEEIM can initiate other resources to jointly lead to customer value co-creation on e-commerce platforms.

Practical implications

Customers are the center of marketing decisions, the cornerstone of collaborative processes at any step of a new product or service development process. The collaboration between customers and the firms during the using service process creates new dynamics that should be settled by managers. Customers may adopt positive attitudes and behaviors towards an e-commerce platform if they spend their resources on participating in value co-creation activities. To better encourage customers to participate in value co-creation process and improve their stickiness, managers of e-commerce platforms should enhance PEEIM together with other key factors such as customer experience quality, customer perceived ease-of-use, C2C interaction quality, customer perceived service climate, customer empowerment and customer perceived value. For example, to help customers deeply participate in value co-creation process, the firms ought to develop flexible platforms which customers can buy a product or service and create important and personalized experiences. An appropriate management of engagement platform can encourage customer collaboration in co-creation processes and better customers’ feelings toward the firms. Encouraging co-creative experiences during online purchase helps increase the ability of finalizing transactions and creating long-term relationships.

In addition, perceived ease-of-use of the online co-creation platform manifests a supplier value-creating process that supports the co-creation activity by making it operationally efficient. Thus, firms should design e-commerce platforms as user-friendly platforms while perceived ease-of-use is explaining online co-creation to a high degree. The firms can easily perform co-creation online because a high perceived ease-of-use is a motive that is relevant to a deficiency of customer familiarity with the online co-creation task. On the other hand, this study highlights the importance of cues concerned with C2C interactions and coproduction (i.e., co-design of the offering, peer communication through forums, blogs, virtual communities, social networks, among others). These signs intensify the potential of platform, motivate customers to conduct collaborative activities and create tight relationships between customers and the firms. Inducing customers to value-creating activities is essential for the firms because it provides enhanced purchase experiences which can encourage positive customer response such as stickiness.

Moreover, firms should pay closer attention to decreasing customers’ perceived risks related to retailers’ uncertainty. E-commerce platforms should be transpicuous in sharing information to limit customers’ discomfort while encouraging consumers to seek and provide information in the form of their feedback. Especially, firms should be completely transparent on security and privacy issues and pricing across channels thanks to offer adequate, efficient, and efficacious customer support across all channels and augment customer engagements through their e-commerce platforms or other relevant channels. Finally, with our findings, firms should undertake to build an effective institutional infrastructure for the entire e-commerce environment and communicate the risk-mitigation value of the e-commerce institutional infrastructure to customers. A safe e-commerce environment makes faith building less difficult, thus devoting to the prosperity of e-commerce in their market segment.

Research limitations and future research prospects

This study has certain research limitations. Firstly, the data collection process involved only respondents selected in convenience. Because customers may have differences in economic status, cultural background, consumption levels, future research can choose diversified areas for data collection, and use the comparative analysis method to check relevant conclusions. Secondly, this study involves only customers, and it is not able to fully reflect the operational mechanism of the value co-creation system in e-commerce context. Future research can involve other stakeholders in the value co-creation system to establish more comprehensive research. For example, future research can examine how the interaction between customers and the firms affects value co-creation. Thirdly, the study sample consisted of Vietnamese tourism customers who used any OTA platform, which could make self-selection bias. Customers with various experiences on OTA platforms could have multiform perceptions of them, therefore, the findings of this study should be interpreted as only explaining the OTA platform for current Vietnamese tourism customers. Fourthly, we did not consider the control variables’ role. Therefore, future research may involve control variables such as customers’ gender, age, education, occupation. Finally, future research could also consider applying qualitative methods (e.g., content analysis and focus groups), exploring questions such as how customers’ behaviors are affected and to complement the insufficiency of survey method to make stronger inferences.

To summarize, this study aims to explore the relationship among customer value co-creation, PEEIM and customer stickiness on e-commerce platforms. All of our supported hypotheses provided two key findings: (1) customer value co-creation is directly and indirectly influenced by perceived effectiveness of e-commerce institutional mechanisms through four mediators including customer experience quality, customer perceived ease-of-use, C2C interaction quality and customer perceived service climate; (2) customer value co-creation directly and indirectly influences customer stickiness through two mediators including customer empowerment and customer perceived value. This study contributes to the growing service research one more empirical evidence on the significant role of customer value co-creation in e-services in general and in OTA platform services in specific.

ACKNOWLEDGEMENT

This research is funded by Vietnam National University HoChiMinh City (VNU-HCM) under grant number: B2023-20-12

ABBREVIATIONS

Customer-to-customer (C2C); Online travel agent (OTA); Perceived effectiveness of e-commerce institutional mechanisms (PEEIM); Service dominant (S-D)

CONFLICT OF INTEREST STATEMENT

The authors declare that they have no conflicts of interest.

AUTHOR CONTRIBUTIONS

- Huynh Thi Minh Chau: Literature review, Research design, Writing and editing the article

- Nguyen Thi Truc My: Conducting studies

- Tran Thi Tuyet: Editing the article

- Nguyen Manh Tuan: Literature review, Research design, Conducting studies

References

  1. Kumar V, Aksoy L, Donkers B, Venkatesan R, Wiesel T, Tillmanns S. Undervalued or overvalued customers: Capturing total customer engagement value. Journal of service research. 2010;13(3):297-310. . ;:. Google Scholar
  2. Zeithaml VA. Consumer perceptions of price, quality, and value: A means-end model and synthesis of evidence. Journal of Marketing. 1988;52(3):2-22. . ;:. Google Scholar
  3. Grönroos C. Conceptualising value co-creation: A journey to the 1970s and back to the future. Journal of marketing management. 2012;28(13-14):1520-34. . ;:. Google Scholar
  4. Vargo SL, Lusch RF. Evolving to a new dominant logic for marketing. Journal of marketing. 2004;68(1):1-17. . ;:. Google Scholar
  5. Blasco-Arcas L, Hernandez-Ortega B, Jimenez-Martinez J. The online purchase as a context for co-creating experiences. Drivers of and consequences for customer behavior. Internet Research. 2014;24(3):393-412. . ;:. Google Scholar
  6. Ballantyne D, Varey RJ. Creating value-in-use through marketing interaction: the exchange logic of relating, communicating and knowing. Marketing theory. 2006;6(3):335-48. . ;:. Google Scholar
  7. Alves H, Mainardes EW. Self-efficacy, trust, and perceived benefits in the co-creation of value by consumers. International Journal of Retail & Distribution Management. 2017;45(11):1159-80. . ;:. Google Scholar
  8. Varadarajan R, Srinivasan R, Vadakkepatt GG, Yadav MS, Pavlou PA, Krishnamurthy S, et al. Interactive technologies and retailing strategy: A review, conceptual framework and future research directions. Journal of Interactive Marketing. 2010;24(2):96-110. . ;:. Google Scholar
  9. Berrada M. Co-creation of the tourist experience via internet: Towards exploring a new practice. Marketing. 2017;2(5). . ;:. Google Scholar
  10. Shen H, Li X, Zhang Y. A study on Brand equity of online tourism enterprises based on user value co-creation. Advances in Hospitality and Leisure. 14: Emerald Publishing Limited; 2018. p. 111-30. . ;:. Google Scholar
  11. Malthouse E, Hofacker C. Looking back and looking forward with interactive marketing. SAGE Publications Sage CA: Los Angeles, CA; 2010. p. 181-4. . ;:. Google Scholar
  12. Hou Y, Chen H, Yang S. Research on the business model of e-commerce platform based on value co-creation theory. International Journal of u and e-Service, Science and Technology. 2016;9(3):415-24. . ;:. Google Scholar
  13. Yahiaoui DE, Mansouri S, Zaraa H, Fadel L. The Participation of Value Co-creation in the Development of Electronic Commerce. Management and Economics Review. 2022;7(3):292-309. . ;:. Google Scholar
  14. Maglio PP, Spohrer J. Fundamentals of service science. Journal of the academy of marketing science. 2008;36:18-20. . ;:. Google Scholar
  15. Vargo SL, Lusch RF. Institutions and axioms: an extension and update of service-dominant logic. Journal of the Academy of marketing Science. 2016;44:5-23. . ;:. Google Scholar
  16. Lusch RF, Vargo SL, Gustafsson A. Fostering a trans-disciplinary perspectives of service ecosystems. Journal of Business Research. 2016;69(8):2957-63. . ;:. Google Scholar
  17. Vargo SL, Maglio PP, Akaka MA. On value and value co-creation: A service systems and service logic perspective. European management journal. 2008;26(3):145-52. . ;:. Google Scholar
  18. Cova B, Pace S, Skålén P. Brand volunteering: Value co-creation with unpaid consumers. Marketing Theory. 2015;15(4):465-85. . ;:. Google Scholar
  19. Frasquet-Deltoro M, Alarcón-del-Amo M-d-C, Lorenzo-Romero C. Antecedents and consequences of virtual customer co-creation behaviours. Internet Research. 2019;29(1):218-44. . ;:. Google Scholar
  20. Dey BL, Babu MM, Rahman M, Dora M, Mishra N. Technology upgrading through co-creation of value in developing societies: Analysis of the mobile telephone industry in Bangladesh. Technological Forecasting and Social Change. 2019;145:413-25. . ;:. Google Scholar
  21. Akter S, Mohiuddin Babu M, Hossain MA, Hani U. How does value co-creation transform quality of life at the bottom of the pyramid? Journal of Marketing Management. 2021;37(9-10):962-92. . ;:. Google Scholar
  22. Mascarenhas OA, Kesavan R, Bernacchi M. Customer value‐chain involvement for co‐creating customer delight. Journal of consumer marketing. 2004. . ;:. Google Scholar
  23. Zhang J, Jiang Y, Shabbir R, Du M. Building industrial brand equity by leveraging firm capabilities and co-creating value with customers. Industrial marketing management. 2015;51:47-58. . ;:. Google Scholar
  24. Ramaswamy V. It's about human experiences… and beyond, to co-creation. Industrial marketing management. 2011;40(2):195-6. . ;:. Google Scholar
  25. Yi Y, Gong T. Customer value co-creation behavior: Scale development and validation. Journal of Business research. 2013;66(9):1279-84. . ;:. Google Scholar
  26. Laud G, Karpen IO. Value co-creation behaviour-role of embeddedness and outcome considerations. Journal of Service Theory and Practice. 2017;27(4):778-807. . ;:. Google Scholar
  27. Saarijärvi H, Kannan P, Kuusela H. Value co‐creation: theoretical approaches and practical implications. European business review. 2013. . ;:. Google Scholar
  28. Kristensson P, Matthing J, Johansson N. Key strategies for the successful involvement of customers in the co‐creation of new technology‐based services. International journal of service industry management. 2008;19(4):474-91. . ;:. Google Scholar
  29. Omar NA, Kassim AS, Shah NU, Shah Alam S, Che Wel CA. The influence of customer value co-creation behavior on SME brand equity: An empirical analysis. Iranian Journal of Management Studies. 2020;13(2):165-96. . ;:. Google Scholar
  30. Payne AF, Storbacka K, Frow P. Managing the co-creation of value. Journal of the academy of marketing science. 2008;36:83-96. . ;:. Google Scholar
  31. Prahalad CK, Ramaswamy V. Co-opting customer competence. Harvard business review. 2000;78(1):79-90. . ;:. Google Scholar
  32. Prahalad CK. The fortune at the bottom of the pyramid: Eradicating poverty through profits. McKinsey briefing notes series. 2008;36(3):52-74. . ;:. Google Scholar
  33. Zhu Y, Wei Y, Zhou Z, Jiang H. Consumers' continuous use intention of O2O E-commerce platform on community: a value Co-creation perspective. Sustainability. 2022;14(3):1666. . ;:. Google Scholar
  34. Zhang L, Yang W, Yang L, Gao L. How does the value co-creation of e-commerce platform and manufacturers affect channel performance? The moderating role of innovation capability and market turbulence. Electronic Commerce Research and Applications. 2022;52:101120. . ;:. Google Scholar
  35. Cheng P, Jing X, Tie J, Tian Y, Kong J, Xue K, et al. Research on Value Co-Creation: New Business Model of Import Cross-Border E-Commerce Platform Ecosystem. Security and Communication Networks. 2022;2022. . ;:. Google Scholar
  36. Tajvidi M, Wang Y, Hajli N, Love PE. Brand value Co-creation in social commerce: The role of interactivity, social support, and relationship quality. Computers in Human Behavior. 2021;115:105238. . ;:. Google Scholar
  37. Pavlou PA, Gefen D. Building effective online marketplaces with institution-based trust. Information systems research. 2004;15(1):37-59. . ;:. Google Scholar
  38. Lewis JD, Weigert A. Trust as a social reality. Social forces. 1985;63(4):967-85. . ;:. Google Scholar
  39. Zucker LG. Production of trust: Institutional sources of economic structure, 1840-1920. Research in organizational behavior. 1986. . ;:. Google Scholar
  40. McKnight DH, Chervany NL. What trust means in e-commerce customer relationships: An interdisciplinary conceptual typology. International journal of electronic commerce. 2001;6(2):35-59. . ;:. Google Scholar
  41. Gefen D, Karahanna E, Straub DW. Trust and TAM in online shopping: An integrated model. MIS quarterly. 2003:51-90. . ;:. Google Scholar
  42. Fang Y, Qureshi I, Sun H, McCole P, Ramsey E, Lim KH. Trust, satisfaction, and online repurchase intention. Mis Quarterly. 2014;38(2):407-A9. . ;:. Google Scholar
  43. Huang T-L, Chen C-H, Liao G-Y, Cheng T, Teng C-I. How to enhance vendor-specific perceived effectiveness of e-commerce institutional mechanisms and online shopper loyalty. International Journal of Electronic Commerce. 2022;26(2):222-44. . ;:. Google Scholar
  44. Ren J, Yang J, Zhu M, Majeed S. Relationship between consumer participation behaviors and consumer stickiness on mobile short video social platform under the development of ICT: based on value co-creation theory perspective. Information Technology for Development. 2021;27(4):697-717. . ;:. Google Scholar
  45. Werner D, Adam M, Benlian A. Empowering users to control ads and its effects on website stickiness. Electronic Markets. 2022:1-25. . ;:. Google Scholar
  46. Beddoe-Stephens P. Yahoo: Getting sticky with it. Retrieved January 16, 2021 1999. . ;:. Google Scholar
  47. Zott C, Amit R, Donlevy J. Strategies for value creation in e-commerce: best practice in Europe. European Management Journal. 2000;18(5):463-75. . ;:. Google Scholar
  48. Li D, Browne GJ, Wetherbe JC. Why do internet users stick with a specific web site? A relationship perspective. International Journal of Electronic Commerce. 2006;10(4):105-41. . ;:. Google Scholar
  49. Lin JC-C. Online stickiness: its antecedents and effect on purchasing intention. Behaviour & information technology. 2007;26(6):507-16. . ;:. Google Scholar
  50. Wang H. Review of research on influencing factors of online consumer behavior. Consumer Economics. 2009;25(5):92-5. . ;:. Google Scholar
  51. Wu S. Moderating Effect of Powerful Customer on the Competence Firm Performance Relationship. Journal of the American Academy of Business. 2010;15(2):98-104. . ;:. Google Scholar
  52. Lin L, Hu PJ-H, Sheng ORL, Lee J. Is stickiness profitable for electronic retailers? Communications of the ACM. 2010;53(3):132-6. . ;:. Google Scholar
  53. Rahmana MI, Irawan BP. The role of brand community identification in increasing religious value co-creation and customer stickiness. International Journal of Economics, Business and Accounting Research (IJEBAR). 2022;6(4). . ;:. Google Scholar
  54. Auh S, Menguc B, Katsikeas CS, Jung YS. When does customer participation matter? An empirical investigation of the role of customer empowerment in the customer participation-performance link. Journal of marketing research. 2019;56(6):1012-33. . ;:. Google Scholar
  55. Chan KW, Gong T, Sharma P, Chu C. Demystifying the impact of customer participation on citizenship behaviors through interpersonal attraction and its contingencies. Journal of Business Research. 2022;150:297-310. . ;:. Google Scholar
  56. Lemke F, Clark M, Wilson H. Customer experience quality: an exploration in business and consumer contexts using repertory grid technique. Journal of the academy of marketing science. 2011;39:846-69. . ;:. Google Scholar
  57. Gentile C, Spiller N, Noci G. How to sustain the customer experience: An overview of experience components that co-create value with the customer. European management journal. 2007;25(5):395-410. . ;:. Google Scholar
  58. Verhoef PC, Lemon KN, Parasuraman A, Roggeveen A, Tsiros M, Schlesinger LA. Customer experience creation: Determinants, dynamics and management strategies. Journal of retailing. 2009;85(1):31-41. . ;:. Google Scholar
  59. Kim H, Choi B. The effects of three customer-to-customer interaction quality types on customer experience quality and citizenship behavior in mass service settings. Journal of services marketing. 2016. . ;:. Google Scholar
  60. Corritore CL, Kracher B, Wiedenbeck S. On-line trust: concepts, evolving themes, a model. International journal of human-computer studies. 2003;58(6):737-58. . ;:. Google Scholar
  61. Pakarti P, Dharmmesta BS, Nugroho SS, Sutikno B. Review of customer experience, perceived effectiveness of e-commerce institutional mechanisms, and repurchase intention from the perspective of expectation-confirmation theory. Jurnal Aplikasi Manajemen. 2022;20(1):12-24. . ;:. Google Scholar
  62. Ball D, Coelho PS, Machás A. The role of communication and trust in explaining customer loyalty: An extension to the ECSI model. European journal of marketing. 2004. . ;:. Google Scholar
  63. Chong AYL, Lacka E, Boying L, Chan HK. The role of social media in enhancing guanxi and perceived effectiveness of E-commerce institutional mechanisms in online marketplace. Information & management. 2018;55(5):621-32. . ;:. Google Scholar
  64. Palese B, Usai A. The relative importance of service quality dimensions in E-commerce experiences. International Journal of Information Management. 2018;40:132-40. . ;:. Google Scholar
  65. Davis FD. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly. 1989:319-40. . ;:. Google Scholar
  66. Bendapudi N, Leone RP. Psychological implications of customer participation in co-production. Journal of marketing. 2003;67(1):14-28. . ;:. Google Scholar
  67. Xie C, Bagozzi RP, Troye SV. Trying to prosume: toward a theory of consumers as co-creators of value. Journal of the Academy of marketing Science. 2008;36:109-22. . ;:. Google Scholar
  68. Martin CL, Pranter CA. Compatibility management: customer‐to‐customer relationships in service environments. Journal of Services Marketing. 1989;3(3):5-15. . ;:. Google Scholar
  69. Nicholls R. New directions for customer‐to‐customer interaction research. Journal of Services Marketing. 2010. . ;:. Google Scholar
  70. Söderlund M. Other customers in the retail environment and their impact on the customer's evaluations of the retailer. Journal of Retailing and Consumer Services. 2011;18(3):174-82. . ;:. Google Scholar
  71. Anisah RR, Suhendra AA, editors. Role of Trust, Customer Satisfaction, and Perceived Effectivenes of E-Commerce Institutional Mechanism to Repurchase Intention: Systematic Literature Review. Journal of Physics: Conference Series; 2018: IOP Publishing. . ;:. Google Scholar
  72. Liu P, Li M, Dai D, Guo L. The effects of social commerce environmental characteristics on customers' purchase intentions: The chain mediating effect of customer-to-customer interaction and customer-perceived value. Electronic Commerce Research and Applications. 2021;48:101073. . ;:. Google Scholar
  73. Jung JH, Yoo JJ, Arnold TJ. Service climate as a moderator of the effects of customer-to-customer interactions on customer support and service quality. Journal of Service Research. 2017;20(4):426-40. . ;:. Google Scholar
  74. Bacile TJ. Digital customer service and customer-to-customer interactions: investigating the effect of online incivility on customer perceived service climate. Journal of Service Management. 2020. . ;:. Google Scholar
  75. Colm L, Ordanini A, Parasuraman A. When service customers do not consume in isolation: a typology of customer copresence influence modes (CCIMs). Journal of Service Research. 2017;20(3):223-39. . ;:. Google Scholar
  76. Bettencourt LA. Customer voluntary performance: Customers as partners in service delivery. Journal of retailing. 1997;73(3):383-406. . ;:. Google Scholar
  77. Japutra A, Utami AF, Molinillo S, Ekaputra IA. Influence of customer application experience and value in use on loyalty toward retailers. Journal of Retailing and Consumer Services. 2021;59:102390. . ;:. Google Scholar
  78. García-Salirrosas EE, Rondon-Eusebio RF, Millones-Liza DY, Bejarano-Auqui JF. e-RetailTest: Scale to Assess the Attitude of Consumers towards E-Commerce in the Retail Sector. Sustainability. 2023;15(6):4964. . ;:. Google Scholar
  79. Mainardes EW, de Souza IM, Correia RD. Antecedents and consequents of consumers not adopting e-commerce. Journal of Retailing and Consumer Services. 2020;55:102138. . ;:. Google Scholar
  80. Paredes MR, Barrutia JM, Echebarria C. Resources for value co-creation in e-commerce: a review. Electronic Commerce Research. 2014;14:111-36. . ;:. Google Scholar
  81. Novak TP, Hoffman DL, Yung Y-F. Measuring the customer experience in online environments: A structural modeling approach. Marketing science. 2000;19(1):22-42. . ;:. Google Scholar
  82. Barrutia JM, Paredes MR, Echebarria C. Value co-creation in e-commerce contexts: does product type matter? European Journal of Marketing. 2016;50(3/4):442-63. . ;:. Google Scholar
  83. Luo J, Wong IA, King B, Liu MT, Huang G. Co-creation and co-destruction of service quality through customer-to-customer interactions: Why prior experience matters. International Journal of Contemporary Hospitality Management. 2019;31(3):1309-29. . ;:. Google Scholar
  84. Antón C, Camarero C, Garrido M-J. Exploring the experience value of museum visitors as a co-creation process. Current Issues in Tourism. 2018;21(12):1406-25. . ;:. Google Scholar
  85. Kim K, Byon KK, Baek W. Customer-to-customer value co-creation and co-destruction in sporting events. The Service Industries Journal. 2020;40(9-10):633-55. . ;:. Google Scholar
  86. Pandey S, Kumar D. From a literature review to a conceptual framework for customer-to-customer value co-creation. Contemporary Management Research. 2021;17(3):189-221. . ;:. Google Scholar
  87. Mayer DM, Ehrhart MG, Schneider B. Service attribute boundary conditions of the service climate-customer satisfaction link. Academy of Management Journal. 2009;52(5):1034-50. . ;:. Google Scholar
  88. Jaakkola E, Helkkula A, Aarikka-Stenroos L. Service experience co-creation: conceptualization, implications, and future research directions. Journal of Service Management. 2015. . ;:. Google Scholar
  89. Lin K-Y, Lu H-P. Why people use social networking sites: An empirical study integrating network externalities and motivation theory. Computers in human behavior. 2011;27(3):1152-61. . ;:. Google Scholar
  90. Keiningham TL, Morgeson III FV, Aksoy L, Williams L. Service failure severity, customer satisfaction, and market share: An examination of the airline industry. Journal of Service Research. 2014;17(4):415-31. . ;:. Google Scholar
  91. Sun Z, Li Y, Lou X. The Impact of Customer Participation on Customer Value: Does Customer Resource and Regulatory Focus Matter? Sustainability. 2022;14(24):16685. . ;:. Google Scholar
  92. Ming‐Sung Cheng J, Shih‐Tse Wang E, Ying‐Chao Lin J, Vivek SD. Why do customers utilize the internet as a retailing platform? A view from consumer perceived value. Asia Pacific journal of marketing and logistics. 2009;21(1):144-60. . ;:. Google Scholar
  93. Kang J, Tang L, Fiore AM. Enhancing consumer-brand relationships on restaurant Facebook fan pages: Maximizing consumer benefits and increasing active participation. International Journal of Hospitality Management. 2014;36:145-55. . ;:. Google Scholar
  94. Joo D, Woosnam KM, Strzelecka M, Boley BB. Knowledge, empowerment, and action: Testing the empowerment theory in a tourism context. Journal of sustainable tourism. 2020;28(1):69-85. . ;:. Google Scholar
  95. Hunter GL, Garnefeld I. When does consumer empowerment lead to satisfied customers? Some mediating and moderating effects of the empowerment-satisfaction link. Journal of Research for Consumers. 2008(15). . ;:. Google Scholar
  96. Brennan C, Ritters K. Consumer education in the UK: new developments in policy, strategy and implementation. International Journal of Consumer Studies. 2003;27(3):223-4. . ;:. Google Scholar
  97. Wathieu L, Brenner L, Carmon Z, Chattopadhyay A, Wertenbroch K, Drolet A, et al. Consumer control and empowerment: a primer. Marketing Letters. 2002;13:297-305. . ;:. Google Scholar
  98. Ramani G, Kumar V. Interaction orientation and firm performance. Journal of marketing. 2008;72(1):27-45. . ;:. Google Scholar
  99. Palumbo R. The bright side and the dark side of patient empowerment: Co-creation and co-destruction of value in the healthcare environment: Springer; 2017. . ;:. Google Scholar
  100. Khenfer J, Shepherd S, Trendel O. Customer empowerment in the face of perceived Incompetence: Effect on preference for anthropomorphized brands. Journal of Business Research. 2020;118:1-11. . ;:. Google Scholar
  101. Xie L, Li D, Keh HT. Customer participation and well-being: the roles of service experience, customer empowerment and social support. Journal of Service Theory and Practice. 2020;30(6):557-84. . ;:. Google Scholar
  102. Dekhili S, Hallem Y. An examination of the relationship between co-creation and well-being: An application in the case of tourism. Journal of Travel & Tourism Marketing. 2020;37(1):33-47. . ;:. Google Scholar
  103. Moussafir K, Qmichchou M. Customer Empowerment: An antecedent and a consequence of customer engagement in value co-creation. International Journal of Accounting, Finance, Auditing, Management and Economics. 2021;2(5):305-23. . ;:. Google Scholar
  104. Bateson JE. Self-service consumer: An exploratory study. Journal of retailing. 1985. . ;:. Google Scholar
  105. Kotler P, Keller KL. A framework for marketing management. Englewood Cliffs: Prentice Hall; 2021. . ;:. Google Scholar
  106. Sheth JN, Newman BI, Gross BL. Why we buy what we buy: A theory of consumption values. Journal of business research. 1991;22(2):159-70. . ;:. Google Scholar
  107. Roig JCF, Garcia JS, Tena MAM, Monzonis JL. Customer perceived value in banking services. International Journal of Bank Marketing. 2006;24(5):266-83. . ;:. Google Scholar
  108. Sánchez J, Callarisa L, Rodriguez RM, Moliner MA. Perceived value of the purchase of a tourism product. Tourism management. 2006;27(3):394-409. . ;:. Google Scholar
  109. Lloyd AE, Luk ST. Interaction behaviors leading to comfort in the service encounter. Journal of Services marketing. 2011;25(3):176-89. . ;:. Google Scholar
  110. Markley M, Davis L. Customer participation strategies and associated goals: A qualitative investigation. ACR North American Advances. 2006. . ;:. Google Scholar
  111. Jung JH, Yoo JJ. Customer-to-customer interactions on customer citizenship behavior. Service Business. 2017;11:117-39. . ;:. Google Scholar
  112. Quach S, Shao W, Ross M, Thaichon P. Customer engagement and co-created value in social media. Marketing Intelligence & Planning. 2020;38(6):730-44. . ;:. Google Scholar
  113. Mishra S, Malhotra G, Chatterjee R, Shukla Y. Consumer retention through phygital experience in omnichannel retailing: role of consumer empowerment and satisfaction. Journal of Strategic Marketing. 2021:1-18. . ;:. Google Scholar
  114. Mvondo GFN, Jing F, Hussain K, Raza MA. Converting tourists into evangelists: Exploring the role of tourists' participation in value co-creation in enhancing brand evangelism, empowerment, and commitment. Journal of Hospitality and Tourism Management. 2022;52:1-12. . ;:. Google Scholar
  115. Hsiao Y-H, Chen L-F, Chang C-C, Chiu F-H. Configurational path to customer satisfaction and stickiness for a restaurant chain using fuzzy set qualitative comparative analysis. Journal of Business Research. 2016;69(8):2939-49. . ;:. Google Scholar
  116. Maqableh M, Abuhashesh M, Dahabiyeh L, Nawayseh M, Masadeh R. The effect of Facebook users' satisfaction and trust on stickiness: the role of perceived values. International Journal of Data and Network Science. 2021;5(3):245-56. . ;:. Google Scholar
  117. Mohammad AA. The effect of customer empowerment and customer engagement on marketing performance: the mediating effect of brand community membership. Verslas: teorija ir praktika. 2020;21(1):30-8. . ;:. Google Scholar
  118. Al Shibly H, Aisbett J, Pires G, editors. Customer Empowerment and Electronic Commerce Success. The 2004 international Business information management conference; 2004. . ;:. Google Scholar
  119. Majeed S, Lu C, Majeed M, Shahid MN. Health resorts and multi-textured perceptions of international health tourists. Sustainability. 2018;10(4):1063. . ;:. Google Scholar
  120. Xue J, Zhou Z, Zhang L, Majeed S. Do brand competence and warmth always influence purchase intention? The moderating role of gender. Frontiers in psychology. 2020;11:248. . ;:. PubMed Google Scholar
  121. Ye W. Research on the impact of knowledge sharing on user satisfaction in online Q & A community: Northeastern University; 2015. . ;:. Google Scholar
  122. Fang I-C, Fang S-C. Factors affecting consumer stickiness to continue using mobile applications. International Journal of Mobile Communications. 2016;14(5):431-53. . ;:. Google Scholar
  123. Liu L, Zhang N. Research on the relationship between customer perceived value, satisfaction and loyalty: An empirical analysis in the context of e-commerce. Journal of Information Resource Management. 2016;6(3):50-7. . ;:. Google Scholar
  124. El-Adly MI, Eid R. An empirical study of the relationship between shopping environment, customer perceived value, satisfaction, and loyalty in the UAE malls context. Journal of Retailing and Consumer Services. 2016;31:217-27. . ;:. Google Scholar
  125. Shang D, Wu W. Understanding mobile shopping consumers' continuance intention. Industrial Management & Data Systems. 2017;117(1):213-27. . ;:. Google Scholar
  126. Yuan M. Research on the Influencing Factors of users' continuous using willingness on mobile reading platforms: Zhengzhou University; 2018. . ;:. Google Scholar
  127. Chen M-h, Tsai K-m, Ke Y-A. Enhancing consumers' stickiness to online brand communities as an innovative relationship marketing strategy. International Journal on Semantic Web and Information Systems (IJSWIS). 2019;15(3):16-34. . ;:. Google Scholar
  128. Han XY, Xie LS, Yang JF, editors. An Empirical Study on the Relationships among Customer Psychological Empowerment, Service Fairness and Customer Attitude. International Conference on Service Systems & Service Management; 2011; Tianjin. . ;:. Google Scholar
  129. Bernard C, Dalli D. Working consumers: the next step in marketing theory? Marketing Theory. 2009;9(3):315-39. . ;:. Google Scholar
  130. Kucuk US. Consumer empowerment model: from unspeakable to undeniable. Direct Marketing: An International Journal. 2009;3(4):327-42. . ;:. Google Scholar
  131. Jia W, Zhang ML, Wang B. Study on influence mechanism of customer participation on customer value creation. Management Review. 2011;23(5):61-9. . ;:. Google Scholar
  132. Hu XP, Li X. Customer psychological authorization, customer participation behavior and customer recommendation: An empirical study based on tourism industry. Enterprise Economic. 2017;10:122-8. . ;:. Google Scholar
  133. Prebensen NK, Xie J. Efficacy of co-creation and mastering on perceived value and satisfaction in tourists' consumption. Tourism Management. 2017;60:166-76. . ;:. Google Scholar
  134. Hu X, Li X. How does customer psychological empowerment affect value co-creation? An empirical study of travel agencies in Mainland China. Asia Pacific Business Review. 2022;28(3):431-59. . ;:. Google Scholar
  135. Wetzels M, Odekerken-Schröder G, Van Oppen C. Using PLS path modeling for assessing hierarchical construct models: Guidelines and empirical illustration. MIS quarterly. 2009:177-95. . ;:. Google Scholar
  136. Akter S, Fosso Wamba S, Dewan S. Why PLS-SEM is suitable for complex modelling? An empirical illustration in big data analytics quality. Production Planning & Control. 2017;28(11-12):1011-21. . ;:. Google Scholar
  137. Hair JF, Sarstedt M, Ringle CM. Rethinking some of the rethinking of partial least squares. European Journal of Marketing. 2019;53(4):566-84. . ;:. Google Scholar
  138. Hair JF, Hollingsworth CL, Randolph AB, Chong AYL. An updated and expanded assessment of PLS-SEM in information systems research. Industrial Management & Data Systems. 2017;117(3):442-58. . ;:. Google Scholar
  139. Hair JF, Hult GTM, Ringle C, Sarstedt M. A primer on partial least squares structural equation modeling (PLS-SEM): Sage publications; 2016. . ;:. Google Scholar
  140. Hair JF, Ringle CM, Sarstedt M. PLS-SEM: Indeed a silver bullet. Journal of Marketing theory and Practice. 2011;19(2):139-52. . ;:. Google Scholar
  141. Voorhees CM, Brady MK, Calantone R, Ramirez E. Discriminant validity testing in marketing: an analysis, causes for concern, and proposed remedies. Journal of the Academy of Marketing Science. 2016;44(1):119-34. . ;:. Google Scholar
  142. Fornell C, Larcker DF. Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research 1981;18(1):39-50. . ;:. Google Scholar
  143. Zhang M, Guo L, Hu M, Liu W. Influence of customer engagement with company social networks on stickiness: Mediating effect of customer value creation. International Journal of Information Management. 2017;37(3):229-40. . ;:. Google Scholar
  144. Segars AH, Grover V. Re-examining perceived ease of use and usefulness: A confirmatory factor analysis. MIS quarterly. 1993:517-25. . ;:. Google Scholar
  145. Shmueli G, Ray S, Estrada JMV, Chatla SB. The elephant in the room: predictive performance of PLS models". Journal of Business Research. 2016;69(10):4552-64. . ;:. Google Scholar
  146. Bridson K, Evans J, Mavondo F, Minkiewicz J. Retail brand orientation, positional advantage and organisational performance. The International Review of Retail, Distribution and Consumer Research. 2013;23(3):245-64. . ;:. Google Scholar
  147. Wu J, Law R, Liu J. Co-creating value with customers: a study of mobile hotel bookings in China. International Journal of Contemporary Hospitality Management. 2018;30(4):2056-74. . ;:. Google Scholar


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Article Details

Issue: Vol 7 No 4 (2023)
Page No.: 4794-4813
Published: Dec 31, 2023
Section: Research article
DOI: https://doi.org/10.32508/stdjelm.v7i4.1234

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Copyright: The Authors. This is an open access article distributed under the terms of the Creative Commons Attribution License CC-BY 4.0., which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

 How to Cite
Chau, H., Truc My, N., Tuyet, T., & Tuan, N. (2023). The effects of perceived effectiveness of e-commerce institutional mechanisms on customer stickiness: The role of customer value co-creation in ota platforms in Viet Nam. Science & Technology Development Journal: Economics- Law & Management, 7(4), 4794-4813. https://doi.org/https://doi.org/10.32508/stdjelm.v7i4.1234


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