Submitted:
13 October 2025
Posted:
14 October 2025
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Abstract
As sustainability becomes central to tourism, tourists are no longer passive consumers but active stakeholders who influence organizational behavior. This study investigates how green consumer behavior (GCB) shapes expectations for employee green competencies (GSE) and organizational sustainability strategies (OSS). Data were collected through a structured survey of 326 domestic tourists in Albania. Green Skills Expectation (GSE) was modeled as a latent construct derived from green loyalty and willingness to support sustainability. Statistical analyses included exploratory factor analysis (EFA), K-means clustering, and structural equation modeling (SEM). Results GCB significantly predicted both OSS and GSE, confirming that green minded tourists influence how organization’s structure and communicate their sustainability practices. Cluster analysis identified two consumer profiles: eco-committed tourists and adaptive green supporters, with the former showing stronger expectations for employee level sustainability competencies. Implications: The findings highlight tourists’ growing influence over workforce development and HR strategy in tourism. Organizations must align internal competencies with market expectations, especially as consumer trust increasingly depends on the visible presence of sustainability values in frontline employees.
Keywords:
1. Introduction
- (1)
- Whether green tourist behavior directly influences perceptions of an organization’s sustainability efforts?
- (2)
- Whether these perceptions mediate the relationship between green tourist behavior and expectations for employee green competencies?
2. Literature Review
Theoretical Foundation and Literature Review
2.1. Stimulus–Organism–Response (S-O-R) Theory in Tourism
2.2. Human Capital Theory and Green Skills in Tourism
2.3. Stakeholder Theory: Tourists as Co-Creators of Workforce Strategy
Green Tourism Marketing and Organizational Transformation
Green Branding and Employee Competency in Tourism
Eco-Labels and Consumer Trust in Tourism Services
Green Tourist Behavior as a Catalyst for Upskilling
GLBI and WSS as Indicators of Green Workforce Expectations
Theoretical Framework and Hypotheses
3. Methodology
Data Analysis and Reliability
4. Results
Factor Analysis
| Construct | No. of Items | Cronbach’s Alpha |
|---|---|---|
| GCB | 5 | 0.842 |
| OSS | 5 | 0.878 |
| GLBI | 3 | 0.791 |
| WSS | 3 | 0.816 |
| Total | 16 | 0.9322 |
- (1)
- Green Consumer Behavior (GCB) - reflecting tourists’ eco-preferences, including brand-switching for environmental reasons.
- (2)
- Organizational Sustainability Strategy (OSS) - capturing perceived transparency, sustainable certifications and green marketing credibility.
- (3)
- Green Loyalty and Brand Image (GLBI) - tourists’ emotional trust and alignment with environmentally responsible tourism providers.
- (4)
- Willingness to Support Sustainability (WSS) - economic and moral commitment to support sustainable services.
Latent Variable: Green Skills Expectation (GSE)
Behavioral Segmentation: K-Means Clustering of Green Consumer Profiles
| Cluster | % of Sample | GCB | OSS | GLBI | WSS |
|---|---|---|---|---|---|
| Committed Eco-Tourists | 82.82 | 4.31 | 4.37 | 4.54 | 4.01 |
| Green-Adaptive Tourists | 17.18 | 2.31 | 2.75 | 2.79 | 1.82 |
Structural Equation Modeling (SEM): Latent Construct Approach
5. Discussion
Consumers as Agents of Organizational Transformation
From Strategy to Skills: The Mediating Role of OSS
The Power of Direct Expectation
Validating the Latent Construct of GSE
6. Conclusion
Theoretical and Practical Implications
Practical Implications
Future Research Directions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
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| Age Group | Males | Females | Total | |||
|---|---|---|---|---|---|---|
| No. | % | No | % | No. | % | |
| 18 -24 years | 60 | 35 | 112 | 65 | 172 | 53 |
| 25 -34 years | 60 | 51 | 58 | 49 | 118 | 36 |
| 35 years and above | 22 | 61 | 14 | 32 | 36 | 11 |
| Component | Eigenvalue | Explained Variance (%) | Cumulative Variance (%) |
|---|---|---|---|
| PC1 | 9.742794 | 60.51889 | 60.51889 |
| PC2 | 1.490829 | 9.260518 | 69.77941 |
| PC3 | 0.797986 | 4.956815 | 74.73622 |
| PC4 | 0.66895 | 4.155287 | 78.89151 |
| Hypothesis | Path | β | Std. Error | t-Statistic | p-value | R² | Decision |
|---|---|---|---|---|---|---|---|
| H1 | GCB → OSS | 0.743 | 0.035 | 21.23 | < 0.001 | 0.724 | Supported |
| H2 | OSS → GSE (latent) | 0.863 | 0.042 | 20.55 | < 0.001 | 0.677 | Supported |
| H3 | GCB → GSE (latent) | 0.660 | 0.040 | 16.50 | < 0.001 | 0.821 | Supported |
| Latent Variable | Indicator | Loading (λ) | p-value |
|---|---|---|---|
| GSE | GLBI | 0.801 | < 0.001 |
| GSE | WSS | 0.849 | < 0.001 |
| Fit Index | Value |
|---|---|
| Chi-square (χ²) | 121.45 |
| p-value | 0.001 |
| CFI | 0.963 |
| TLI | 0.951 |
| RMSEA | 0.045 |
| SRMR | 0.039 |
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