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THE IMPACT OF CONSUMER PERCEPTION OF SUSTAINABLE SUPPLY CHAIN ​​IN HOTELS ON QUALITY OF EXPERIENCE AND WILLINGNESS TO PAY: A CASE STUDY OF 4–5 STAR HOTELS IN VIETNAM
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Trang Quynh 1 Email
Thi BUI 1 Email
Viet Thai NGUYEN 1
Huong Thu KIEU 1 Email
1 Faculty of Hospitality – Tourism Thuongmai University Hanoi Vietnam
Trang Quynh Thi BUI
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Thuongmai University, Faculty of Hospitality – Tourism, Hanoi, Vietnam, e-mail: trang.btq@tmu.edu.vn
Viet Thai NGUYEN z,2,*
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Thuongmai University, Faculty of Hospitality – Tourism, Hanoi, Vietnam, e-mail: thainv@tmu.edu.vn
Huong Thu KIEU
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Thuongmai University, Faculty of Hospitality - Tourism, Hanoi, Vietnam, e-mail: huong.kt@tmu.edu.vn
z,2 Corresponding author
ABSTRACT
The objective of this study is to determine the impact of consumer perceptions of sustainable supply chains in hotels on the quality of experience and the willingness to pay of tourists. Based on the theories of supply chains, sustainability theories and Social cognitive theories, the study has identified three factors of consumer perceptions of sustainable supply chains in hotels that affect the quality of experience and the willingness to pay of tourists including: Perception of economic benefits, perception of social responsibility and perception of environmental protection activities. This study used questionnaires on a sample of 876 tourists including domestic tourists and international ones who used products and services at 4-5star hotels in Hanoi, Ho Chi Minh and Da Nang which are the areas with a dynamically developing hotel market in Vietnam. The collected data was cleaned and SmartPLS software was utilized to evaluate the fit, reliability and SEM structural model to test the relationships of the research model. The results of the study showed that all three factors affected the quality of experience and the willingness to pay of tourists. The study also identified the mediating role of experience quality in the relationship between the three factors and the willingness to pay; and the level of education was also confirmed to have a moderating role in the relationship between perceived economic benefits, perceived social responsibility and perceived environmental protection practices factors and the quality of experience.
Keywords:
Supply chain
Sustainable supply chain
quality of experience
willingness to pay
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INTRODUCTION
The hotel business is considered a global, highly developed, lucrative and competitive industry (Mohammed & Rashid, 2012), which has experienced strong growth reflected in the increase in the number of tourists thanks to the rising globalization and urbanization rates occuring all over the world (Unhelkar et al., 2022). With its dynamism and rapid development, the hotel industry has been accused of having a negative impact on the environment and posing threats to the environment due to its energy-intensive activities (Saengchai & Jermsittiparsert, 2020). In addition to its large carbon footprint, which accounts for 1% of the total global emissions, water consumption is robust, amounting up to 5% of the global amount of water consumption (Sorin & Sivarajah, 2021). These problems are compounded by the various wastes that it produces and the substantial amounts of food and resources it consumes (Gautam, 2021).
Over the past decades years, the idea of sustainability has been gaining popularity in the hospitality industry. With the ever-changing business environment and the interest in competitiveness in terms of revenues, costs and profits, businesses have been focusing on sustainability (Tseng & Chiu, 2013). In the hotel sector, sustainability has emerged as a key factor influencing perception and decision-making factors including client loyalty and contentment.
Xu and Gursoy (2015a) stated that business can only achieve true sustainability if all members of the supply chain engage in sustainable practices. Therefore, researchers have tried to extend the scope of sustainability research into the field of supply chain management (SCM) to investigate the sustainable supply chain management (SSCM) (Tseng et al., 2015). According to the theory of sustainability (Triple Bottom Line - TBL) and a number of studies (Kleindorfer et al., 2005), it has been clearly stated that SSCM should address economic issues as well environmental and societal ones. In the hotel business, the members of the supply chain include customers, suppliers, distributors, and related departments in the hotel (Espino-Rodriguez & Taha, 2022), and its goal is to render services to clients using resources and commodities acquired from suppliers. However, in the 2020–2021 period, due to the heavy impact of the COVID-19 pandemic, the supply chain was disrupted.
In Vietnam, before the impact of the COVID-19 pandemic, the hotel industry had faced many difficulties. According to the statistics of Savills Hotel (2021), the 4-5star hotel market in Vietnam had a total of 635 hotels and resorts. Apart from some isolation units, hotels had virtually no business due to the detrimental impact of the COVID-19 pandemic. With an estimated 5% occupancy rate for the whole year, up to 80% of hotel establishment employees had to leave their positions and find new employment. Hospitality has been the segment hardest hit by the pandemic, which has disrupted supply chains on both the supply and demand side. This poses the need for research and implementation of SSCM in the hotel industry.
Previous studies exploring SSCM practices have mainly focused on the manufacturing sectors rather than the service sector (Xu & Gursoy, 2015b). In the hospitality business sector, to date research on the influence of all three dimensions (environmental, social and economic) of SSCM on customer satisfaction and loyalty has received much attention from academics (Mohamed & Elkashak, 2020; Morovati et al.,2022; Nangpiire et al., 2024). However, according to Lemon and Verhoef (2016), for service brands, customer experience serves as an important foundation for overall customer satisfaction. Klaus and Maklan (2013), have also empirically confirmed that customer experience quality is a better predictor of customer loyalty. Therefore, customer experience quality is an important variable that needs to be analyzed in relation to SSCM in hotels. It includes experiences from consumer purchasing knowledge, information search stages, purchasing, usage and after sales (Verhoefet et al., 2009). In addition, many researchers have considered behavioral intention and loyalty to be a consequence of satisfaction and have collected a lot of empirical evidence (Jen et al., 2011). However, there is little research on high willingness to pay for sustainable hotels. Willingness to pay high price is often considered one of the strongest outcomes of loyalty (Aaker, 1996). Most recently, Holloway (2024) highlighted the complex interplay of factors shaping consumers’ perceptions and behaviors toward sustainability. The study indicates that consumers’ perceptions of supply-chain sustainability are influenced by multiple dimensions, including environmental impacts, social responsibility, and economic considerations.
Accordingly, the objective of this study is to examine how consumers' perceptions of sustainable supply chains in 4–5 star hotels in Vietnam affect their experience quality and willingness to pay. The study also examines the mediating role of experience quality and the moderating role of education level in the relationship between perceived of economic benefits, perceived of social responsibility, and perceived of environmental protection activities of sustainable supply chain practices in hotels on customers' willingness to pay.
1. LITERATURE REVIEW
1.1. Supply chain management in hotels
The concept of supply chain (SC) and SCM has become a vital management trend in a two-decade period. the past two decades. The significant share of logistics expenses in the price of completed goods is one of the prominent factors impacting its significance. Customer focus, fierce rivalry, shorter product life cycles, and fostered internal communication tools inside companies are just a few of the several factors that render SCM growing in significance.
SCM can be referred to as the collection of procedures that a company uses to manage its supply chain behaviors and accomplish set goals. The Supply Chain Council (2007) defines SCM as a progression that comprises all efforts involved in the production and delivery of final products or services, from the supplier's supplier to the customer’s customer. Demand and supply management, obtaining supplies and materials, production and assembly, inventory tracking and storage, order entry and administration, distribution via all channels, and customer delivery are all covered by supply chain management. Guests are one of the key stakeholders in the hotel supply chain. Their decisions have a significant impact on the achievement of sustainability goals through their choice to consume products that are less harmful to the natural and social environment and generate revenue for the hotel and (Ásványi & Chaker, 2023). Although research on SCM is common and research into the hotel supply chain has been attracting more interest. Huang et al. (2012) addressed the hotel supply chain within the larger milieu of tourist supply chain management. The conceptual framework provided by Xu and Gursoy (2015a) was one of the pioneer the discussion of systematic hotel supply chain management, SCM in hotels is defined as a network of hospitality organizations involved in a variety of activities, such as supplying different parts of hospitality goods and services, such as raw food materials, furnishings, and machinery, to various suppliers; marketing and distributing the finished hospitality products and/or services to customers. The hotel supply chain provides both products and services from the original suppliers to the end user with a process of adding value Kothari et al. (2005). SCM processes have become an essential strategic tool with the potential to significantly impact organizational performance in the hotel industry (Jawabreh et al., 2023). It combines the characteristics of both the manufacturing supply chain and the service supply chain.
1.2. Sustainable development theory
The World Commission on Environment and Development's (1987) Brundtland report featured a notion of sustainability that is currently most frequently recognized. According to the investigation, sustainable development is development that satisfies the demands of the present without jeopardizing the potential of subsequent generations (WCED 1987). According to Dylick and Hokerts (2002), sustainability is an indication of societal growth toward a more prosperous and pleasant society where values, the environment, and earnings are safeguarded for coming generations. Three components make up sustainable development: the environment, social justice, and economic efficiency (Aras & Crowther, 2009). This viewpoint is consistent with Elkington and Fennell (1997) notion of three bottom lines (TBL). TBL is a method for incorporating sustainability into the workplace and establishing a new standard to measure the extent to which an organization is able to strike a balance between its monetary goals and its ethical and ecological obligations (Liburd & Edwards, 2010). Thus, the TBL theory serves as a framework to evaluate how corporate actions affect the concomitant goals of equitable society, financial achievement, and the health of the environment (Carter & Rogers, 2008). The TBL theory is, therefore, a tool for measuring the impact of business practices in relation to the simultaneous quest for economic afluence, social justice, and the health of the earth. According to TBL, sustainable actions have three dimensions as follows: The environmental sustainability dimension focuses on minimizing the adverse environmental impacts provoked by supply chain operations (Hassini et al., 2012). The social dimension refers to maximizing the social welfare of supply chain stakeholders such as employees, customers, suppliers and anyone else impacted by supply chain operations (Gopalakrishnan et al., 2012); The economic dimension emphasized the idea of creating and maintaining long-term profits (Kleindorfer et al., 2005) while minimizing negative environmental and social impacts.
1.3.The integration of sustainability in hotel supply chain management
Sustainability incorporated into SCM led to the perception of SSCM and was suggested by Linton et al. (2007). Research entangled the fact that SSCM is a step towards closed supply chain management based on TBL that includes economic, environmental and social performance (Liu et al., 2017). Fundamentally, Carter and Rogers (2008), based on the complementary definition of SCM and a broad review of the sustainability literature, declared that SSCM is “the strategic, transparent integration and achievement of an organization’s social, environmental, and economic goals in the systemic coordination of key inter-organizational business processes for improving the long-term economic performance of the individual company and its supply chains” (p.368).
The integration of TBL into SCM has been considered an effective business direction for enterprises as well as a contribution to the further sustainable development, not merely increasing the legal onus on businesses (Liburd & Edwards, 2010). The initial focus of SSCM research was on the environmental impact. However, concerns about corporate social responsibility give rise to an awareness of the socioeconomic aspects of supply chain management (De Brito & Van der Laan, 2010).
SSCM theory in hospitality is founded on the clue that hospitality businesses are pushed to be involved in the source chain for suppliers to assure that each element of their service or product purchased from the provider is sustainable, securing the sustainability of the end product or service. This ensues that SSCM in hotels is also significantly dependent on the three dimensions of TBL in the collaborative interaction between companies, their suppliers and customers (Carter & Liane Easton, 2011). (1) The environment: A hotel with a sustainable application chain is one that has made considerable improvements to reduce its impact on the natural environment (Jones et al., 2014). The application chain management application method needs to encompass green procurement, green design, green manufacture, green operations, reverse logistics, and waste management (Morovati et al.,2022); (2) Economics: This aspect of economics is the most straightforward to quantify and analyzed thanks to its quantitative feature. It relates to a hotel's costs, profits, revenue, and return on investment (Nangpiire et al., 2024); (3) Society: To achieve consumer demand sustainability, hotels must prioritize social responsibility vand demonstrate commitment to service quality to customers will foster the hotel's reputation and image (Mohamed & Elkashak, 2020).
1.4. Consumer perceptions and Willingness to Experience Sustainable Supply Chains
Consumer perceptions plays an important role in encouraging sustainable consumption behavior (Trudel, 2019; Teufer & Grabner-Kräuter, 2023). Informed consumers who are aware of the environmental and social consequences of their choices are more likely to experience products and support sustainable practices at businesses. According to the Social Cognitive Theory (Bandura, 2014), human thoughts and actions can be influenced by various psychological components, such as interactions, behavior, and environment. (Bandura, 2014), explains that an individual’s behavior is influenced by three factors: (1) cognitive reasoning or personal interactions, (2) surrounding actions or behaviors, and (3) social context or environment. Furthermore, an individual's cognitions, emotions, and behaviors can influence the quality of the lived experience. Furthermore, Social Cognitive Theory further explains that the types of message frames about corporate sustainability practices will significantly influence consumer perceptions, which in turn lead to behavioral change.
2. ESTABLISH RESEARCH MODELS AND HYPOTHESES
2.1. The impact of Consumer perception of sustainable supply chain in hotels on Experience Quality
According to Howard and Sheth (1969), customer experience is used to measure satisfaction, service quality, marketing activities, and customer value. Experience quality demonstrates superiority or apparent satisfaction and subjective customer response to business engagement. Agreeing with this view, Lemon and Verhoef (2016) demonstrated that experience quality serves as an important foundation for overall customer satisfaction. Many authors have emphasized the nature of customer experience management as management based on customer touchpoints (Edelman & Singer, 2015). The tourism and hospitality industries are often seen as more experience-based service industries (Gilmore & Pine, 2002). Klaus and Maklan (2013) have conducted in-depth interviews with travelers to explore the fundamental aspects between service quality and experience quality for purchase behavior in the service economy and have found that providing experience quality gives travelers satisfaction based on functional and emotional benefits. Thus, customer experience encompasses the entire spectrum of consumer purchasing knowledge, which includes experiencing the full range of stages in a hotel's supply chain from information seeking, service purchasing, usage, and after-sales activities (Verhoefet et al., 2009).
Hospitality is an energy-intensive and waste-generating industry. As a result, the sector has come under pressure from environmental organizations and nonprofits to minimize negative impacts on the environment and ensure sustainability in supply chain implementation. In addition, the increasing awareness of consumers has led many hotels to study and apply sustainable measures in the production and supply of products and services. Therefore, researchers have shown that satisfaction is based on the level of customer experience quality and it is affected by the environmentally friendly actions of hotels (Slevitch et al., 2013); excellent financial performance of hotels (Lo et al., 2015) and social responsibility (Holmes & Yan, 2012).
Economic considerations also play a pivotal role in shaping consumers’ perceptions of supply chain sustainability. Consumers evaluate their experiences through the economic implications of sustainable practices, such as generating and maintaining long-term profitability (Kleindorfer et al., 2005), as well as the costs and accessibility of sustainable products (Holloway, 2024). Accordingly, the study proposes the following hypothesis:
H1: Perceived economic benefits positively influence tourists’ experiential quality.
Social responsibility constitutes another critical dimension of sustainable supply chains that affects consumers’ behavioral intentions. This dimension entails maximizing the social welfare of stakeholders within the supply chain - employees, customers, suppliers, and any parties affected by supply chain activities (Gopalakrishnan et al., 2012). Consumers are increasingly attentive to, and aware of, the social consequences of their purchases, including fair treatment of workers and ethical sourcing of materials by hotels, which serve as evaluative criteria for experiential quality (Testa et al., 2022). Based on this analysis, the study proposes:
H2: Perceived social responsibility of hotels positively influences tourists’ experiential quality.
Consumers are increasingly cognizant of the environmental consequences of their consumption habits and expect hotels to implement environmental protection practices. Ribbink et al. (2025) indicate that consumers tend to favor brands that adopt green practices and demonstrate a commitment to reducing their ecological footprint. Heightened awareness has consequently shifted preferences and the standards by which consumers assess experiential quality toward products and brands that embody sustainable values. Therefore, the study proposes:
H3: Perceived environmental protection practices of hotels positively influence tourists’ experiential quality.
2.2.
The impact of Consumer perception of sustainable supply chain in hotels on tourists' willingness to pay
In the hospitality sector, when more and more consumers expect hotels to take eco-friendly action, environmentally friendly activities (Jang et al., 2015), environmental sustainability has been shown to contribute to improving customer loyalty (Chen, 2015); socially responsible actions towards internal and external stakeholders of hotels, relationship management activities in the supply chain can increase the reputation of hotels (Nikolaeva & Bicho, 2011); good financial ability will improve product quality performance, cost savings ensure long-term and sustainable economic benefits will contribute to customer loyalty (Shi et al., 2014). Many researchers have cited behavioral intention and loyalty as consequences of assessing experience quality, satisfaction and thereby increased willingness to pay for sustainability initiatives (Chen & Tung, 2014).
Although a growing number of consumers are willing to pay more for sustainable hotel offerings, price sensitivity and price perceptions remain salient, particularly among consumers with lower disposable incomes. Prior research indicates that the perceived costs of sustainable products can influence customers’ willingness to pay. Accordingly, scholars emphasize the need for hotel firms to balance sustainability with affordability in order to appeal to a broader consumer base (Elbelehy & Crispim (2025).). Therefore, the study proposes the following hypothesis:
H4: Perceived economic benefits positively influence tourists' willingness to Pay.
Other studies corroborate the relevance of willingness to pay a premium and identify tourist segments that are prepared to spend more for sustainability-related attributes across socially responsible dimensions of hotel operations such as transportation, sourcing, and the provision of products and services before, during, and after the stay (Namkung Young & Jang SooCheong, 2017). Fatma and Khan (2024). further show that consumers are willing to pay a price premium for products perceived as socially responsible, underscoring the importance of fair labor practices and ethical sourcing. Hence, the study advances the following hypothesis:
H5: Perceived social responsibility of hotels positively influences tourists' willingness to Pay.
Willingness to pay a premium typically refers to paying more for a particular service brand relative to comparable alternatives (Netemeyer et al., 2004). In tourism, numerous studies have examined tourists’ premium payment intentions for issues related to environmental impacts, conservation solutions, and the protection of natural areas (Piriyapada & Wang, 2015; Galati et al., 2023). Accordingly, the study proposes:
H6: Perceived environmental protection practices of hotels positively influence tourists' willingness to Pay.
2.3. The impact of experience quality on tourists' willingness to Pay
The quality of customer experience reflects the value of the service provided by the organization, not just the service quality attributes of the product and the service delivery. In fact, customer experience quality is based on an overall assessment of perceived and emotional value from the customer's perspective rather than being evaluated based on standards or expectations of service quality (Klaus & Maklan, 2013). Homburg et al. (2005) have verified that satisfaction from customer experience quality has a strong positive impact on willingness to pay. Kang et al. (2012) found that guests staying at luxury hotels are more willing to pay extra for sustainable operations. In agreement with this view, Klaus and Maklan (2013) empirically asserted that customer experience quality is a better predictor of willingness to pay because willingness to pay is often considered one of the strongest outcomes of loyalty.
Compared to traditional products and services, high prices are the most important barrier to green consumption (Yadav et al., 2024). In the green hospitality industry, where competition is fierce and construction costs are high, practitioners must understand the drivers that drive customers' willingness to pay high prices (Ligas & Chaudhuri, 2012). Thus, the willingness to pay high prices is strongly impacted by the quality of experience and the sustainable competitive advantage of the hotel supply chain (Casidy and Wymer, 2016). Therefore, the study proposes the following hypotheses:
Hypothesis H7: Quality of experience has a significant positive impact on tourists' willingness to pay.
2.4.
The mediating role of experience quality in the relationship between Perceived economic benefits, perceived social responsibility and perceived environmental protection practices factors and tourists' willingness to Pay
According to Cronin et al (2011), when hotels show social responsibility, environmentally friendly activities and are able to provide high quality services, customers will be more aware of the reputation of the hotel and will have quality experiences with the hotel's products and services. Many hotel customers have quality experiences from which they tend to be satisfied and appreciate hotels that adopt environmentally friendly and sustainable measures (Liat et al., 2014). Some studies on tourists' willingness to pay more for economic, environmental and social sustainability initiatives implemented at hotels. Studies have attempted to link tourists' willingness to pay with experience quality through their environmental concerns and perceptions (Chia-Jung & PeiChun, 2014), to the overall social image of the hotel (Liat et al., 2014), and to supply chain sustainability practices implemented at the hotel. Therefore, the study proposes the following hypotheses:
Hypotheses H7a,b,c: Experience quality plays a mediating role in the relationship between Perceived economic benefits, perceived social responsibility and perceived environmental protection practices factors with tourists' willingness to pay.
According to Chen and Tung (2014), many customers are aware that their purchase and use of products and services can be harmful to the environment and sometimes their concerns and perceptions about the impact on the environment can translate into environmentally friendly service decisions. From awareness, some of the hotel's customers have sought and are willing to pay high fees for eco-friendly products (Chia-Jung & PeiChun, 2014). Social cognitive theories (Bandura, 2014) proposes that people with higher levels of environmental awareness and concern (including physical and social environments) are more likely to associate with businesses that have clear environmental policies and practices. Therefore, within the scope of the research of the article, the study will consider the regulatory role of customer education affecting the quality of experience with products
Hypotheses H8a,b,c: Educational attainment plays a moderating role in the relationship between Perceived of economic benefits, perceived of social responsibility and perceived of environmental protection practices factors with experience quality
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The proposed research framework is as follows:
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Figure 1: Modeling the impact of consumer perceptions of hotel supply chain sustainability on experience quality and willingness to pay (Source: Author's proposal)
3. RESEARCH METHODS
3.1.Research background
According to statistics from Viraresearch Vietnam (6/2024), Vietnam has 235 5-star hotels with a total of 77.895 rooms and 354 4-star hotels with 47.502 rooms. In the period of 2020–2022, due to the impact of COVID-19, the hotel supply chain was disrupted, flights were canceled, international flights, restaurants and many hotels closed. The disruption of the supply chain reduced the hotel market capacity in Vietnam by an average of 30%, down about 44% compared to the same period, room rates also decreased by 30% to about 81 USD/room/night, the number of international tourists to Vietnam still decreased sharply, down to 83%.
However, by the end of the first quarter of 2024, hotel operations in major cities such as Hanoi, Ho Chi Minh City, and Da Nang had returned to near pre-COVID levels. Of which, Hanoi recorded revenue from accommodation and food services of VND24.9 trillion, up 12.7% year-on-year, with a total of 1.5 million visitors, up 46.5%. At the same time, Da Nang and Ho Chi Minh City had a boom with revenue of VND6.4 trillion and VND29.7 trillion, respectively. The number of international visitors to Ho Chi Minh City reached nearly 1.4 million, up 32.4% compared to 2023, while domestic tourists increased by 6.6%.
With strong recovery and growth and being areas with dynamic hotel and resort development rates in Vietnam, the study selected 4–5 star hotels in 3 areas: Hanoi, Ho Chi Minh City and Da Nang to conduct a survey during the period from March 2024 to January 2025 with both international and domestic tourists.
3.2. Data Collection and processing
A
The questionnaire was built with scales inherited and developed from reputable studies on SCM and SSCM in hotels. Most of the scales were adopted from foreign studies, and hence in order to check the suitability and ensure reliability, the research team had consulted with 15 experts - researchers in the field of marketing and supply chain. IAfter comments from experts, some items were revised and the questionnaire was completed with a 3-part structure: (i) introduction of the purpose of the questionnaire; (ii) the content of the questions and (iii) demographic information and the Likert measure were used with 5 levels (level 1: completely disagree - level 5: completely agree).
Participants in the study were international and domestic tourists who used products and services at 4–5 star hotels in 3 areas, namely Hanoi, Ho Chi Minh City and Da Nang – the areas with a dynamically developing hotel market in Vietnam. The convenience sampling method was used. A total of 950 surveys were distributed in both direct and indirect forms via the Google Forms application. The total number of valid questionnaires obtained from the two survey forms was 876, reaching 84.4%. Of which, the survey response rate of women accounted for 45.48% and men accounted for 54,52%. Regarding age, the age group ranges from 18 years old to over 55 years old, of which the 18–24 year old group has the lowest response rate with 2,01% and the highest is the 45–54 year old age group with 44,47%. Finally, regarding the income of survey respondents, under 10 million accounts for 1,26% and the highest is over 20 million with 46,98%.
4. RESEARCH RESULTS
4.1.The results of the evaluation of the measurement model fit
There are 5 scales to measure latent variables in the model, which are the Perception of economic benefits (ECO), perception of social responsibility (SOC), perception of environmental protection activities (ENV), Quality of experience (QOE), Willingness to pay (WTP). The following table was used for the purpose of summarizing the load factors in the PLS-SEM model.
Table 1
Research results of measurement model
Construct
Indicator
Outer loading
Cronbachs alpha
Composite Reliability
Average Variance Extracted
R-square
Perceived of economic benefits
ECO1
0.925
0.903
0.939
0.837
 
ECO2
0.902
ECO3
0.919
Willingness to pay
WTP1
0.904
0.895
0.935
0.826
 
WTP2
0.917
WTP3
0.906
Perceived of environmental protection practices
ENV1
0.839
0.891
0.920
0.697
71,7%
ENV2
0.816
ENV3
0.829
ENV4
0.840
ENV5
0.849
Quality of experience
QOE1
0.897
0.885
0.929
0.813
55,6%
QOE2
0.926
QOE3
0.881
Perceived of social responsibility
SOC1
0.877
0.869
0.905
0.658
 
SOC2
0.880
SOC3
0.853
SOC4
0.794
SOC5
0.625
The results of factor analysis with the support of SmartPLS software show that the factor loading coefficients of the indexes were all greater than 0.6. That illustrates that the observed variables of each measurement component of the scale all met the requirements.
Evaluation of the reliability of the scale
The results of using PLS-SEM analysis with the measurement model showed that the scales were reliable and appropriate (at the required value). Specifically, the analysis results showed that the Cronbach Alpha coefficient of all 5 latent structures was in the range of 0.869–0.903 (all higher than 0.7), the rho_A coefficient was in the range 0.905–0.939 (both are higher than 0.7) (Table 1), and the mean extracted variance coefficients of all latent structures in the extended model were greater than 0.5 It showed that the observed variables used to measure the latent concepts of the research model all had the necessary reliability and good internal consistency.
Evaluation of the convergent validity of the scale
The results of factor analysis with the support of SmartPLS software showed that the factor loading coefficients of the observed variables in the latent structures were all greater than 0.5 (average extracted variance column AVE) (Table 1), the lowest also the extracted mean variance of coherence is 0.658 > 0.5. Therefore, each latent structure in the model showed good a convergence value.
Evaluation of the discriminant of the scale
Table 2
Fornell-Larcker Criterion's discriminant criteria
 
ECO
WTP
ENV
QOE
SOC
ECO
0.915
       
WTP
0.670
0.909
     
ENV
0.577
0.735
0.835
   
QOE
0.676
0.712
0.599
0.902
 
SOC
0.586
0.743
0.677
0.630
0.811
As Table 2 shows, the discriminant value for all 5 latent constructs achieved discriminant validity because the square root of the AVEs (main diagonal in bold) was higher than the corresponding one outside the diagonal (Table 2). In detail, for the ENV,
= 0.835 was higher than the correlation values in its column (0.599; 0.677) and its row (0.577 and 0.735); Similarly for the remaining constructs, the square root of AVE (Bold Value on Main Diagonal) was higher than its off-diagonal correlation. In summary, all 5 latent factors were already highly discriminatory.
4.2. Results of SEM structural model testing
Structure Path Factor
The results from Table 3 demonstrates the important values for the path coefficients determined from the bootstrapping process. The results from the above table show that all direct relationships in the SEM model were accepted:
Table 3
SEM model estimation results
 
Original sample (O)
Sample mean (M)
Standard deviation (STDEV)
T statistics (|O/STDEV|)
P values
ECO -> WTP
0.165
0.166
0.028
5.821
0.000
ECO -> QOE
0.418
0.417
0.033
12.554
0.000
ENV -> WTP
0.298
0.298
0.027
11.057
0.000
ENV -> QOE
0.179
0.177
0.033
5.384
0.000
QOE -> WTP
0.236
0.234
0.031
7.491
0.000
SOC-> WTP
0.295
0.296
0.029
10.110
0.000
SOC-> QOE
0.265
0.267
0.036
7.275
0.000
Source: SmartPLS Analysis Results
Fig. 1
SEM model estimation results
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In addition, Table 3 also reveal that among the factors affecting QOE, ECO has the strongest influence with the highest structural path coefficient (0.418), followed by SOC with the structural path coefficient of 0.265, and finally ENV with a structural path coefficient of 0.179.
Similarly for the factors affecting WTP, ENV and SOC have the strongest influence with the structural path coefficients of 0.298 and 0.265 respectively. ECO affects WTP with a coefficient of only 0.165.
Model fit
This study uses the R-square index to assess the suitability of the structural model. As the results from the Table 2 above show, the fit coefficients of the QOE and WTP models were quite high with the adjusted R-square values of 0.556 and 0.717, respectively (both higher than 50%). Therefore, it can be asserted that the structure has a greater influence on the research model.
4.3. Analysis of the role of mediating variables
Hypothesis analysis of mediating variables: Hypothesis H7c results from the Table 4 above reveal that the indirect impact of ENV factors through QOE on WTP was statistically significant at 0.042 with a very small P-value (0.000). It can be concluded that QOE appears to moderate the link between ENV conditions and WTP. On the other hand, ENV factors also have a direct, statistically significant impact on WTP (structure path coefficient was 0.298, P-value was 0.000). Therefore, QOE plays an intermediary role in the relationship between ENV factors and WTP. Hence, hypothesis H7c is supported.
Table 4
Results of the analysis of the influence of the mediating variable
 
Direct effect
Specific Indirect Effects
Total effect
P -value
Mediating effect
ENV -> QOE -> WTP
0.298
0.042
0.340
0.000
Partial mediation
ECO -> QOE -> WTP
0.165
0.099
0.264
0.000
Partial mediation
SOC -> QOE -> WTP
0.295
0.062
0.357
0.000
Partial mediation
Similarly, QOE also plays a mediating role in the relationship between ECO, SOC factors and WTP (both direct and indirect impacts and are statistically significant); therefore, both hypotheses H7a and H7b are supported.
4.4. Results of analysis of the moderating role of educational level factor
In this study, the authors used the variable of education level (measured by 5 levels with 5 being the highest educational level, and 1 being the lowest educational level) to consider the regulatory role of the influence of sustainable development components (ECO, SOC and ENV) on QOE.
There are three hypotheses put forward as follows:
H8a: Education level moderates the effect of the ECO factor on Quality of experience. The positive relationship between the ECO factor and QOE will be stronger for customers with higher education levels.
H8b: Education level moderates the influence of the SOC factor on QOE. The positive relationship between the SOC factor and Quality of experience will be stronger for customers with higher education levels.
H8c: Education level moderates the influence of the ENV factor on QOE. The positive relationship between the ENV factor and Quality of experience will be stronger for customers with higher education levels.
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Fig. 2
Moderator variable analysis results
Click here to Correct
Table 5
Structural path coefficients of the model with the moderator variable
 
Original sample (O)
Main effect coefficient
Significance level
P values
Conclusion
Edu x ENV -> QOE
0.046
0,161
0.016
0.016
Accepting the hypothesis
Edu x ECO -> QOE
0.030
0,398
0.003
0.003
Edu x SOC -> QOE
0.030
0,266
0.007
0.007
Note: Edu = Educational level
The results ( Table 5) of the bootstrapping analysis were used to evaluate the statistical significance of the educational level modifier in the PLS-SEM model. After doing this, the following results were obtained:
The level variable plays a moderating role in strengthening the relationship between the ECO, SOC, ENV and QOE (both the main influence coefficient and the interaction variable coefficient are the same positive and statistical significance was at 95% confidence).
The combined results from the above table show that the values of both the Direct Effect Coefficient and the Coefficient have a moderating variable of educational level interacting in the relationship between such ECO, SOC, ENV factors. Therefore, all three hypotheses about the moderator variable are supported.
5. Results of multi-group analysis: Domestic and international tourist groups
Results of testing the aggregate value invariance of the measurement model
The most popular method applied to the PLS – SEM model up to now is the MICOM process developed by Henseler et al., (2016). If this process is not guaranteed, multigroup analysis cannot be performed.
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Table 6
Results of the test of aggregate validity invariance for the measurement model
MICOM step 1 – Configuration invariant: qualified
MICOM step 2 – Synthetic invariance: qualified
 
Original correlation
Correlation permutation mean
Permutation
p value
Conclusion on synthetic invariance
ECO
1.000
1.000
0.230
Qualified
WTP
1.000
1.000
0.263
ENV
1.000
1.000
0.811
QOE
1.000
1.000
0.583
SOC
0.999
0.997
0.928
MICOM step 3a – Equal average: qualified
 
Original difference
Permutation mean difference
Permutation p value
Equal average
ECO
0.113
0.000
0.126
qualified
WTP
0.092
0.001
0.220
ENV
0.034
0.002
0.690
QOE
0.083
0.000
0.282
SOC
0.091
0.002
0.231
MICOM step 3b – Equal variance: qualified
 
Original difference
Permutation mean difference
Permutation p value
Equal variance
ECO
-0.047
0.010
0.699
qualified
WTP
0.050
0.007
0.724
ENV
-0.010
0.010
0.946
QOE
0.023
0.011
0.874
SOC
-0.022
0.006
0.846
The test results show that there is no statistically significant difference at the 95% confidence level in the mean value as well as the variance of each measurement model between the two groups of domestic and international visitors. The measurement model is therefore classified as a total invariance model.
MGA analysis results
The purpose of MGA analysis is to evaluate whether there are differences in path coefficients between the two groups of domestic tourists and international tourists. The recommended testing method is the permutation testing as suggested by Chin & Dibbern (2009).
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Table 7
Permutation and PLS-MGA test results
 
Original (domestics)
Original (foreign)
Original difference
(domestic-foreign)
Permutation mean difference
(domestic-foreign)
Permutation p value
1-tailed (domestics vs foreign)
p value
2-tailed (domestics vs foreign)
p value
ECO -> WTP
0.176
0.144
0.032
0.000
0.650
0.303
0.607
ECO -> QOE
0.424
0.402
0.023
0.001
0.004
0.382
0.004
ENV -> WTP
0.283
0.332
-0.049
0.002
0.024
0.785
0.000
ENV -> QOE
0.162
0.218
-0.056
0.002
0.005
0.766
0.009
QOE -> WTP
0.215
0.280
-0.065
0.002
0.326
0.824
0.351
SOC -> WTP
0.317
0.249
0.068
-0.003
0.308
0.142
0.285
SOC -> QOE
0.283
0.219
0.063
-0.003
0.433
0.216
0.432
According to the P value coefficient of the permutation test, there is a difference in the relationship between the impact of ECO on QOE between the two groups of tourists, specifically the domestic tourist group is more sensitive than the international tourist group in terms of ECO and QOE.
Besides, the findings from the permutation test also show that the international tourist group will be more sensitive to ENV than the domestic tourist group in relation to QOE and WTP.
The results of the PLS - MGA test show that the results are similar to the permutation test, that is, there is a difference in the path coefficient for the impact from ECO to QOE, from problem ENV to QOE, and from ENV to WTP
5. CONCLUSIONS AND IMPLICATIONS
The study was conducted with the aim of testing the impact of consumer perception of sustainable supply chains in hotels on QOE and WTP of tourist. Based on the overview and analysis of previous studies, the study proposed and tested the model with three independent variables including the ECO, SOC, ENV. The identification of influencing factors was selected in relation to the theoretical basis related to the supply chain and TBL sustainability theory, Social cognitive theory. By applying SmartPLS software in data processing, the results of the research demonstrate that all three ECO, SOC, ENV factors affect QOE and WTP. The findings contribute to providing empirical evidence on determining the impact of consumer perceptions of sustainable supply chains in hotels on WTP at 4–5 star hotels in Vietnam.
5.1. Theoretical implications
In Vietnam, previous studies have mainly focused on one aspect such as the study of green hospitality and green consumer behavior. These studies are all approached through an environmentally friendly perspective or a socially responsible perspective. This study is a new study that further examines the impact of consumer perception aspects of economic benefits on customer attitudes and behaviors in supply chain management of hotels in Vietnam.
The results of this study also provide a solid theoretical foundation for future studies on the relationship between perceived economic benefits, perceived social responsibility and perceived environmental protection practices of sustainable hotel products with Quality of experience and the willingness to pay of tourists. Scholars and researchers can draw on these results to explore more specific aspects of sustainable supply chains in hotels and gain a deeper understanding of the relationship between Quality of experience and tourists' willingness to pay.
The significance of the study also enriches theories related to satisfaction, loyalty under the approach of the quality of experience and the willingness to pay of tourists. In addition, the study also examines the regulatory role of education level in the relationship perceived economic benefits, perceived social responsibility and perceived environmental protection practices in a sustainable hotel supply chain and the quality of tourist experience.
Another new aspect is the use of multi-group analysis methods to demonstrate significant disparities between the two groups of international and domestic travelers based on changes in each group's path coefficient from perceived economic benefits of sustainable products from environmental concerns to Quality of experience and tourists' willingness to pay a premium.
5.2. Managerial implications
The findings of this study provide practical implications in encouraging hotel managers to adopt sustainable supply chain management to improve their performance as they now have a clearer view of the impact of each optimization factor on customer experience metrics and willingness to pay. Based on the research results, some implications are proposed: (1) Hotels need to invest in modern supply chain management systems, using AI and Big Data to optimize processes and enhance customer experience. In particular, the application of automated management technology and smart tracking systems will help improve flexibility and quickly respond to demand; (2) Establish clear, consistent processes for purchasing, inventory management, supplier collaboration, transportation, and waste disposal to save costs in the long term. Apply international standards such as ISO or good operating standards, appropriate to the hotel industry, to ensure consistency and quality; (3) Effectively manage and reduce waste to protect the environment and enhance the hotel's social responsibility. Apply waste reduction initiatives such as rational storage, optimized purchasing, use of environmentally friendly products, use of renewable energy; (4) Promote propaganda activities, raise employees' awareness of social responsibility to create quality experiences for customers and contribute to building a friendly and sustainable hotel image.
6. LIMITATIONS AND NEW RESEARCH DIRECTIONS
Although the study embraces important findings, there are still some limitations. Firstly, with the survey sample being international and domestic tourists who have used products and services at 4-star hotels and 5-star hotels in Hanoi, Ho Chi Minh City and Da Nang, the sampling method is non-probability sampling with convenience sampling. With this sampling method, the survey sample is not likely to be representative of the population. Secondly, the study does not test the difference in customer perception for different types of hotel businesses in terms of star rating, ownership, location, etc. in the implementation of chain management. sustainable hotel supply. Therefore, these limitations can be considered as gaps for further studies.
Acknowledgements:
The research undertaken was made possible by the equal scientific involvement of all the authors concerned.
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Data availability:
The data used in our analysis is available based on a reasonable request from the corresponding author (Email: thainv@tmu.edu.vn)
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Funding:
This research is funded by Thuongmai University, Hanoi, Vietnam.
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Author contributions
Bui Thi Quynh Trang, Nguyen Viet Thai: Conceptualization, methodology, Nguyen Viet Thai, Kieu Thu Huong: investigation and data curation, Bui Thi Quynh Trang, Nguyen Viet Thai, Kieu Thu Huong: writing - original draft preparation, Bui Thi Quynh Trang: writing - review and editing
Ethics approval and consent to participate
The research was ethically approved by the Scientific Committee (Ethics Committee) of Thuongmai University.
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All procedures involving human participants were conducted in accordance with the institutional ethical standards. Prior to participation, all respondents were informed about the research purposes, assured of data confidentiality, and informed that their participation was voluntary.
Consent for publication
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This study received ethical clearance from Thuongmai Univeristy. Prior to participating in the study, all participants were given a detailed explanation of the study objectives, confidentiality measures. Participants were also informed that their involvement was voluntary and that there would be no negative consequences for declining to participate or withdrawing from the study. All participants have read and agreed to participate in the survey.
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Competing interests
The authors declare that there is no conflict of interest regarding the publication of this paper.
Informed consent
A
Informed consent was obtained from all participants involved in the study
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Clinical trial number
Not applicable
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