1. Introduction
Intangible cultural heritage (ICH) encompasses the living traditions, practices, and expressions that communities recognize as part of their cultural heritage. As an integral component of China’s cultural fabric, ICH manifests in diverse forms—from traditional crafts and performing arts to oral literature and social customs—and is a unique tourism attraction [
1]. Integrating culture and tourism has elevated ICH from a passive cultural relic to an active driver of destination competitiveness and community revitalization [
2]. Policy directives and consumer trends indicate that ICH tourism is poised for rapid expansion: the Chinese government’s emphasis on “cultural confidence” (Cultural confidence denotes belief in the value, vitality, and future of one’s cultural traditions—including pride, trust, and a willingness to preserve and transmit cultural practices. The phrase has been emphasized in recent Chinese cultural policy statements (e.g., calls to “build cultural confidence”) and is discussed in the academic literature on cultural self-awareness and national culture [
3]) has spurred local authorities to develop heritage-based experiences. Meanwhile, domestic tourists increasingly seek meaningful, authentic encounters with traditional culture [
4].
The ICH tourism market has exposed several challenges despite these favorable conditions. First, although many visitors express interest in ICH-themed attractions and activities, their understanding of ICH concepts and significance remains limited [
5]. Empirical evidence suggests that when tourists lack sufficient knowledge of heritage contexts, their appreciation of ICH offerings is superficial, leading to lower perceived value and diminished loyalty intentions [
6]. Second, commercializing ICH experiences in specific destinations has led to a “theme-park” approach that prioritizes spectacle over substance, undermining the live transmission and preservation of traditional skills [
7]. In particular, reliance on mass-produced souvenirs and repetitive performances reduces the distinctiveness of ICH sites and contributes to homogenization across destinations [
8]. Third, many ICH attributes are not sufficiently highlighted in marketing and on-site interpretation, which weakens tourists’ value perception and engagement [
9]. These factors constrain the effective utilization of ICH resources and impede the sustainable development of ICH tourism.
Traditionally, cultural tourism in China focused on preserving and displaying tangible heritage through site-centered, state-led development. Policy and market shifts recently encourage experience-oriented, participatory forms of cultural tourism that foreground visitor engagement with living traditions [
4,
10,
11]. To enhance the competitiveness of ICH tourism destinations and encourage visitor engagement, adopting a tourist-centric perspective that addresses market demands and leverages ICH resource advantages is crucial. From the visitor’s perspective, the destination’s ability to deliver authentic, interactive experiences informs visitors’ experiential value appraisal and shapes their loyalty behaviors, such as repeat visits and word-of-mouth recommendations [
12,
13,
14]. Moreover, the intertwined relationship between culture and tourism underscores the necessity of preserving ICH as a heritage imperative and a driver of economic development and cultural diplomacy [
15]. Therefore, integrating ICH and tourism is a strategic priority for managers and an opportunity to revitalize endangered traditions [
16]. However, studies examining how ICH attributes and visitor involvement jointly influence tourist loyalty remain scarce.
Furthermore, cultural identity—the psychological bond between tourists and the heritage context—is a critical lens through which visitors interpret and value ICH experiences [
17]. Research indicates that individuals with stronger cultural identity derive greater emotional and symbolic value from heritage interactions, strengthening the link between perceived experience and loyalty [
18]. However, few studies have integrated cultural identity as a moderating factor to explore ICH attributes, tourism involvement, experiential value, and loyalty.
To address these research gaps, this study employs the Stimulus–Organism–Response (S-O-R) framework [
19] and a cultural identity perspective to investigate how two key stimuli, ICH attributes (authenticity and vitality) and tourism involvement (cognitive and behavioral), influence tourists’ experiential value and subsequent loyalty. Specifically, we examine (1) the direct effects of authenticity and vitality on experiential value and loyalty, (2) the role of cognitive and behavioral involvement on experiential engagement, and (3) the mediating function of experiential value in the stimuli-loyalty relationship. Critically, we introduce cultural identity as a moderator to assess how individuals’ heritage-related self-concept shapes these pathways.
By surveying 385 valid visitors at a representative ICH destination and analyzing data through structural equation modeling, this research aims to (a) clarify the dimensions of ICH attributes and tourism involvement that most strongly predict loyalty, (b) uncover the mechanisms by which experiential value mediates these relationships, and (c) reveal how cultural identity amplifies or attenuates these effects. We contribute to the ICH tourism literature by offering an integrated model grounded in S-O-R and identity theory, and we provide practical implications for managers seeking to foster long-term visitor engagement while ensuring the live preservation of ICH. This work advances theory and practice at the intersection of heritage preservation and sustainable tourism development.
4. Empirical Analysis
4.1. Data Collection
This study targeted individuals who had visited an ICH destination within the past five years. A structured questionnaire was developed and administered online via the “Wenjuanxing” platform. We disseminated the survey link and QR code through social media channels, including WeChat groups and Moments, immediately following China’s National Day holiday to reach a broad audience. By concentrating data collection in the first two weeks after the October Golden Week (a peak travel period), we maximized the likelihood of capturing respondents’ most recent ICH tourism experiences while ensuring an adequate sample size.
The questionnaire consisted of two sections. The first section contained 31 measurement items, each rated on a seven-point Likert scale (1 = “Strongly Disagree” to 7 = “Strongly Agree”). The second section gathered demographic and background information, such as gender, age, and primary motivation for visiting ICH destinations. These demographic items facilitated the sample representativeness.
4.1.1. Measurement Dimensions and Scale Design
Drawing on established scales, the measurement dimensions cover four categories: (1) independent variables (ICH attributes and tourism involvement), (2) the mediating variable (experiential value), (3) the moderating variable (cultural identity), and (4) the dependent variable (tourist loyalty). Item wording was adapted from previous studies to reflect the characteristics of ICH destinations in China; expert feedback and pre-testing ensured clarity and relevance. Details are as follows:
- A.
Independent Variables: ICH Attributes and Tourism Involvement
ICH attributes were conceptualized as comprising: authenticity and vitality. Tourism involvement captures the degree to which visitors mentally and behaviorally engage with the ICH destination.
Table 1 lists the measurement items for each independent variable.
- B.
Mediating Variable: Experiential Value
Experiential value represents tourists’ holistic appraisal of their ICH experience [
54,
55]. Since ICH tourism relies on immersive, interactive encounters, the items were designed to capture the extent to which respondents found the destination’s heritage scene visually appealing, emotionally engaging, distinct from other tourism products, and intellectually enriching [
72,
73].
Table 2 presents five experiential value items.
Table 1.
Measurement Items for Independent Variables.
Table 1.
Measurement Items for Independent Variables.
| Variable | Item Code | Item Statement | Source |
|---|
| Authenticity | A1 | I can feel the genuine essence of the ICH culture here. | [28] |
| A2 | I perceive that the ICH culture here has a long, continuous history. |
| A3 | I perceive an intense traditional atmosphere surrounding the ICH culture here. |
| A4 | I perceive that the ICH crafts or cultural elements here are well preserved. |
| Vitality | V1 | I can observe traditional ICH activities or performances at this destination. | [74] |
| V2 | I sense a unique ICH ecosystem thriving here. |
| V3 | I experience how ICH has integrated with local production and daily life. |
| V4 | I have opportunities to interact directly with ICH bearers here. |
| Cognitive Involvement | C1 | Visiting an ICH destination is very important to me. | [12,75,76] |
| C2 | I am very interested in this ICH destination. |
| C3 | During my visit, I can identify myself with this ICH site. |
| C4 | I find traveling in this ICH environment to be highly enjoyable. |
| Behavioral Involvement | BI1 | I actively participate in ICH activities here. | [75] |
| BI2 | I pause to watch folk performances and ICH demonstrations. |
| BI3 | I sample local ICH-related foods here. |
| BI4 | I use on-site digital tools (e.g., apps or kiosks) to learn about ICH culture. |
Table 2.
Measurement Items for Experiential Value (Mediator).
Table 2.
Measurement Items for Experiential Value (Mediator).
| Variable | Item Code | Item Statement | Source |
|---|
| Experiential Value | EV1 | I find that the ICH scenes here are visually distinctive and well themed. | [72,73] |
| EV2 | The ICH activities here are so engaging that they put me in a good mood. |
| EV3 | I feel that this ICH destination clearly stands out from other tourism products. |
| EV4 | I learn a lot about ICH culture, skills, and knowledge here. |
| EV5 | I believe the ICH experience here can inspire younger generations to protect and carry forward our cultural heritage. |
- C.
Moderating Variable: Cultural Identity
Cultural identity was conceptualized as tourists’ cognitive recognition, emotional attachment, and behavioral inclination toward ICH [
40]. Specifically, the five items capture (a) recognition of ICH as an essential cultural and historical asset, (b) belief that ICH represents a core form of traditional cultural expression, (c) the sense of national or ethnic pride derived from ICH, (d) appreciation for creative integration of ICH with contemporary contexts, and (e) willingness to participate in heritage preservation efforts [
77,
78,
79].
Table 3 lists these items.
- D.
Dependent Variable: Tourist Loyalty
Tourist loyalty in ICH tourism was operationalized predominantly as attitudinal loyalty. Although some scholars measure loyalty by repeat visitation, travel researchers argue that attitudinal indicators better capture loyalty where novelty-seeking is common [
80]. The five loyalty items measure (a) prioritizing ICH destinations when traveling under similar cost constraints, (b) desire to participate in additional ICH-related activities, (c) willingness to recommend one’s preferred ICH site to friends, (d) intent to share one’s ICH travel experience publicly, and (e) willingness to provide positive word-of-mouth [
81,
82,
83].
Table 4 displays these items.
By grounding each measurement dimension in previous empirical research and conducting rigorous validity checks, this study ensures that all constructs reliably capture the nuances of ICH tourism experiences, involvement, identity, and loyalty.
4.1.2. Questionnaire Adjustment and Data Collection
We conducted a small-scale pre-survey to ensure the questionnaire’s quality, accuracy, and scientific rigor. 109 questionnaires were distributed to individuals who reported having visited an ICH destination within the past five years. We excluded responses from anyone who had not traveled to an ICH destination in the previous five years, and questionnaires were completed in under 60 s, intending to remove inattentive or ineligible respondents. Then, 83 valid pre-survey questionnaires remained, yielding an effective response rate of 76.14%.
Using SPSS 25.0, we evaluated internal consistency reliability for each construct. The Cronbach’s alpha values for these constructs range from 0.908 to 0.952, demonstrating excellent reliability (all exceeding 0.90). In addition, “Cronbach’s alpha if item deleted” values for every item were lower than the overall alpha of their corresponding construct, indicating that no individual item diminished reliability. Corrected item-total correlations exceeded 0.40, signifying that each item correlated sufficiently with its build and did not require removal.
We then assessed construct validity through exploratory factor analysis. The Kaiser-Meyer-Olkin (KMO) measure exceeded 0.90, and Bartlett’s test of sphericity was highly significant, confirming that the data were suitable for factor extraction. These results provided confidence that the revised questionnaire would capture the intended constructs effectively.
We launched the final data collection after this pre-survey and subsequent item refinement. The questionnaire was disseminated online utilizing a non-probability convenience sampling method. During the main data collection period, 487 responses were received. After data cleaning, 385 valid questionnaires were retained for analysis. Thus, the valid response rate was 79.06% (385/487).
To quickly see nationwide coverage and regional concentration,
Figure 2 shows geographic provenance of collected and valid questionnaires (IP-based attribution), where the most significant proportions of respondents come from Sichuan, Jiangsu, Shanghai, and Shandong provinces. In addition,
Figure 3 shows the above cities/regions to orient those unfamiliar with Chinese geography. Exact sensitive site names are withheld for ethical reasons; the map uses regional/locality labels only.
4.2. Descriptive Statistical Analysis
The 385 valid questionnaires were subjected to statistical analyses to assess measurement properties and test the research hypotheses. First, we performed a confirmatory factor analysis (CFA) using AMOS 25 to verify the constructs’ factor structure and assess overall model fit. SPSS 25.0 was used to compute reliability measures and examine convergent and discriminant validity (via standard factor loadings, average variance extracted (AVE), and inter-construct correlations). Once the measurement model exhibited satisfactory fit (e.g., CFI > 0.90, RMSEA < 0.08, SRMR < 0.08), we proceeded to test the structural relationships.
Next, the hypothesized structural paths were evaluated using SPSS 25.0 and PROCESS v4.2. Specifically, we estimated regression equations to examine the direct effects of ICH attributes and tourism involvement on experiential value and, in turn, on tourist loyalty. Mediation effects of experiential value were tested using the bootstrap-based approach implemented in PROCESS. Finally, moderated mediation analyses were conducted to determine whether cultural identity significantly moderated the indirect effects of ICH attributes and involvement on loyalty via experiential value. All regression coefficients are reported alongside bootstrapped confidence intervals; significance was assessed at 0.05.
Table 5 summarizes the demographic and travel-related characteristics. The sample is balanced by gender (45.20% male, 54.80% female) and skewed toward higher education (71.43% hold a bachelor’s degree or above); nearly three-quarters (68.05%) are aged 21–40 (mean age = 32.80). Occupations concentrate among enterprise employees (36.62%) and students (35.58%), reflecting the survey’s reach into university networks and working professionals. Monthly income is concentrated in the 4001–6000 RMB band (34.29%), with a substantial student/no-fixed-income subgroup (31.17%). Regarding ICH travel behavior, 42.60% reported 1–2 visits to ICH destinations in the past five years, while only 14.29% visited five times or more; 26.03% were first-time visitors. Most respondents (73.01%) cited “to experience the cultural spirit of intangible heritage” as their primary motivation, whereas 12.99% described their visit as an incidental stop.
These patterns indicate that younger, educated, and digitally active visitors are more likely to seek experiential consumption, engage with interpretive media, and participate in hands-on activities. Moreover, the high proportion motivated by “experiencing cultural spirit” suggests a sample predisposed to register stronger, more substantial experiential value and identity-congruent responses. Hence, the estimated effects of perceived authenticity, vitality, involvement, and cultural-identity moderation on loyalty may be more pronounced in this sample than in a population less intrinsically interested in ICH. The relatively low share of frequent repeat visitors (≥5 visits = 14.3%) indicates that domestic ICH tourism is still maturing for many respondents.
4.3. Data Reliability and Validity Testing
4.3.1. Reliability Analysis
Cronbach’s alpha was computed for each construct to assess internal consistency reliability.
Table 6 summarizes the results. The overall questionnaire achieved an alpha of 0.963, indicating excellent reliability. Each construct’s Cronbach’s alpha also exceeded 0.80, which confirms that all scales exhibit high internal consistency.
4.3.2. Validity Analysis
Validity was assessed in two parts: Convergent validity via composite reliability (CR) and AVE; and Discriminant validity.
Convergent validity requires that each construct explains a substantial portion of the variance in its indicators. AVE should exceed 0.50 and CR should exceed 0.60 [
84].
Table 7 displays the convergent validity results. All standardized factor loadings are above 0.68 and significant at
p < 0.001. CR values range from 0.888 to 0.917, all above 0.80, and AVE values range from 0.529 to 0.734, all above 0.50, indicating satisfactory convergent validity.
Discriminant validity was assessed using the Fornell-Larcker criterion, which requires that the square root of each construct’s AVE exceed its correlations with other constructs.
Table 8 reports the discriminant validity results. All diagonal entries are larger than the corresponding off-diagonal correlations, confirming discriminant validity.
4.3.3. Confirmatory Factor Analysis
A CFA was conducted to evaluate the measurement model’s fit.
Table 9 presents the CFA results. The model achieved χ
2/df = 1.624. CFI = 0.971, TLI = 0.962, and RMSEA = 0.046, all meeting recommended criteria, indicating that the overall measurement model fits the data well.
4.4. Hypothesis Testing
4.4.1. Correlation Analysis
Pearson correlation coefficients (r) were computed to examine the relationships among the key variables.
Table 10 presents the results. All correlations are significant at
p < 0.01, and coefficients range from 0.33 to 0.69, indicating moderate positive associations. Variance inflation factors (VIFs) ranged from 1.61 to 2.29 (all < 5), confirming that multicollinearity is not a concern.
4.4.2. Main Effects Testing
We conducted hierarchical regression analyses to test H1–H5. Gender, age, education, occupation, and monthly income were entered as control variables in Step 1; independent variables (ICH attributes and tourism involvement) and the mediator (tourist satisfaction) were entered in subsequent steps.
Table 11 presents the results.
4.4.3. Path Coefficients
Table 12 examines paths from each dimension of intangible attributes (authenticity vs. vitality) and involvement (cognitive vs. behavioral) to tourist satisfaction and loyalty via satisfaction. Results are confirming H1a–H4b.
4.4.4. Mediation Analysis
To test H6 and H7, we examined whether satisfaction mediates the effects of intangible attributes and involvement on loyalty. We estimated total, direct, and indirect effects using the bootstrap method (5000 resamples, bias-corrected 95% CIs) (
Table 13). For intangible attributes, the total effect on loyalty was B = 0.457, SE = 0.037,
p < 0.001; the direct effect remained significant (
p < 0.001), and the indirect effect (via satisfaction) was B = 0.239, SE = 0.035, 95% CI [0.172, 0.307], supporting partial mediation (H6a and H6b). Involvement had a total effect on loyalty of B = 0.481, SE = 0.039,
p < 0.001; direct effect remained significant (
p < 0.001); and indirect effect was B = 0.157, SE = 0.031, 95% CI [0.102, 0.222], indicating partial mediation, confirming H7a and H7b.
4.4.5. Moderation Analysis
Hypotheses H8a–H9b posited that cultural identity moderates the effects of intangible attributes and involvement on loyalty. We tested these interactions in hierarchical regression (
Table 14). Intangible attributes, cultural identity, and their interaction term were entered after the control variables. The interaction between attributes and cultural identity was significant (
p < 0.01), indicating that the positive effect of attributes on loyalty is stronger when cultural identity is higher (H8a). The interaction between involvement and cultural identity was significant (
p < 0.05), supporting H9a.
4.4.6. Moderated Mediation Analysis
To evaluate H10 and H11, we used PROCESS v4.2 (Model 7) with 5000 bootstrap samples and 95% CIs. Cultural identity was tested as a moderator of the mediation by tourist satisfaction.
Table 15 displays the results.
For Attributes → Satisfaction → Loyalty, the index of moderated mediation (−0.069, 95% CI [−0.118, −0.022]) indicates that cultural identity significantly moderates the indirect effect. Satisfaction mediates the attributes-loyalty link more strongly when cultural identity is lower. H10a and H10b are supported.
For Involvement → Satisfaction → Loyalty, the index (−0.043, 95% CI [−0.100, 0.000]) indicates no significant moderation by cultural identity of the involvement-satisfaction-loyalty mediation. H11, H11a, and H11b are rejected.
4.4.7. Dimension-Specific Moderated Mediation
We examined whether satisfaction mediates the effects of each dimension of intangible attributes (authenticity vs. vitality) on loyalty, conditional on cultural identity (H10a, H10b).
Table 16 shows that both indices’ CIs exclude zero. Thus, cultural identity moderates these indirect effects, supporting H10a and H10b. The direct impact remains significant, indicating partial moderated mediation.
6. Conclusions and Implications
This study employed an S-O-R framework integrated with a cultural identity perspective to investigate the mechanisms driving tourist loyalty in ICH tourism. The findings confirm that perceived ICH attributes and tourism involvement are pivotal stimuli that directly foster loyalty, indirectly through experiential value mediation. Furthermore, cultural identity is a significant moderator, particularly strengthening the direct effects of ICH attributes on loyalty and influencing the mediated pathways.
6.1. Managerial Implications
Our findings offer crucial actionable levers for destination managers to strengthen experiential value and tourist loyalty.
Firstly, protect and activate authentic ICH assets. Base product development on a documented inventory of local ICH practices and collaborate with heritage bearers to preserve original techniques, rituals, and narratives. Avoid superficial “theme-park” staging and build coherent cultural narratives or “ICH cultural IP” that foreground authenticity and living tradition.
Secondly, design participatory, hands-on experiences. Prioritize workshops, master-led demonstrations, and performance-based participation that let visitors learn by doing. These activities raise cognitive and behavioral involvement, converting transient interest into stronger, more substantial experiential value and repeat visitation.
Third, technology can be used to deepen live engagement. Deploy AR/VR, mobile guides, multimedia kiosks, or interactive apps to contextualize ICH, extend interpretation, and scaffold learning; ensure these tools complement face-to-face interaction with artisans rather than substituting for it.
Fourth, ensure experience quality and culturally informed hospitality. Invest in visitor-center infrastructure, clear interpretive signage, accessibility, and staff training so front-line personnel can narrate cultural meanings accurately and empathetically. High service quality protects visitor satisfaction and prevents commodification of heritage content.
Finally, communication plays a crucial role in building cultural identity links. Use storytelling, festival programming, school partnerships, and targeted social-media campaigns to foreground symbolic meanings and identity signals. Identity-focused promotion amplifies the effect of ICH attributes and involvement on loyalty and can strengthen mediated pathways through experiential value.
Additionally, implementation should be community-sensitive. To avoid over-commercialization, local stakeholders should be involved in co-design, intellectual and cultural property should be respected, and impacts on resident attitudes should be monitored.
6.2. Limitations and Future Research
Although this study provides robust quantitative evidence, several limitations should be addressed in future research. First, our online, cross-sectional design may underrepresent groups with limited internet access and cannot establish causal ordering. Hence, future research should employ multi-site field sampling and longitudinal designs to test causal dynamics and enhance generalizability. Second, we operationalized affective response primarily through experiential value. Related constructs (i.e., place attachment or community identification) may capture different facets of emotional bonding and should be directly compared in future research. Third, the predominantly quantitative approach cannot fully reveal the micro-processes by which ICH experiences produce meaning. Hence, qualitative methods, such as semi-structured interviews and in-depth case studies, can be adopted to enrich the understanding of mechanisms, staging practices, and community perspectives. Fourth, since cultural identity operates as a conditional and context-dependent process, future studies should examine how identity evolves through repeated interactions or participatory programs. Finally, since cultural frameworks imply systematic cross-national variation, future studies should incorporate multi-country or multicultural samples to test whether the model’s pathways differ by cultural profile.