The study, conducted in the rapidly evolving tourism market of India, harnesses latent profile analysis to unearth four distinctive traveler archetypes: holistic travelers, rooted travelers, spirited travelers, and seasoned social wanderers. These profiles shed light on how different generational cohorts, shaped by their unique values and lifestyles, navigate travel preferences in a dynamic socio-economic landscape. The fusion of TTCS and GCT allows for a multifaceted examination where generational attributes are not merely demographic markers but integral behavioral differentiators within travel consumption systems.

Holistic travelers emerge as an intriguing hybrid group, encompassing members across four mainstream generations who exhibit convergent travel behavior patterns. This suggests that despite generational distinctions, certain travel consumption tendencies transcend age boundaries, pointing to a shared set of priorities or influences shaping their choices. The rooted travelers, predominantly comprising older individuals, prioritize conventional travel motivations centered on family connections and essential travel needs. Their preferences underscore a stable, tradition-oriented approach to domestic travel, emphasizing familiarity and comfort.

Contrasting sharply with rooted travelers are the seasoned social wanderers, another predominantly senior group characterized by a flair for spontaneity and a pronounced emphasis on social interaction during travel. This profile reveals how older generations can possess adventurous and socially driven travel behaviors, challenging stereotypes that associate advanced age with conservative travel patterns. The spirited travelers, mainly consisting of younger profile members, seek excitement and novelty, fulfilling both foundational travel needs and a thirst for experiential richness. They typify a generation for whom travel serves as a canvas for personal expression and social engagement.

These multifaceted traveler profiles reveal significant intra-generational variations, a critical insight that contests the simplistic notion of generational unity often adopted in prior tourism research. By employing GCT within the Indian domestic tourism context—a market less represented in traditional TTCS research concentrated in Western settings—the study brings to light the intricate interplay of evolving cultural values, socio-economic factors, and generational mindsets that collectively shape travel behavior in emerging economies.

India’s unique socio-cultural fabric, marked by strong family orientations and communal bonds, finds expression in distinct travel priorities identified within these traveler profiles. The interaction between these social dimensions and spontaneous tendencies among certain groups highlights the complexity of domestic tourism dynamics, suggesting that travel choices are deeply embedded in broader social and cultural narratives. This insight is particularly relevant given McKinsey’s forecast positioning India as the world’s largest source of leisure tourists, driven by burgeoning economic prosperity and expanding middle-class affluence.

The methodology—latent profile analysis—employed in this research empowers the identification of nuanced clusters within travel data, allowing researchers to uncover hidden patterns that traditional segmentation approaches might miss. This technique facilitates a more granular understanding of the co-existence of multiple consumption subgroups within generational cohorts, illuminating the diversity of travel behaviors even among individuals sharing similar demographic attributes. Such depth of analysis enhances the predictive accuracy for travel behavior models and informs tailored marketing and policy interventions in the tourism sector.

By validating GCT’s applicability beyond Western tourism environments and integrating it with TTCS, the study paves the way for a theoretical evolution in tourism studies. It underscores the dynamic nature of consumption systems where generational shifts — influenced by changing values, socio-economic advancement, and cultural transformations — continuously reshape travel consumption. This theoretical synergy enriches the conceptual toolkit available to tourism scholars and practitioners aiming to capture the fluidity of traveler preferences in diverse markets.

The study also critically informs tourism management strategies by highlighting the necessity of acknowledging heterogeneity within generational cohorts. Marketing campaigns, product development, and service offerings crafted on the assumption of generational uniformity risk overlooking the diverse needs and motivations of subgroups within the same age cohort. The nuanced traveler profiles extracted from the Indian domestic tourism milieu offer a template for more personalized and culturally sensitive engagement with travelers, ultimately enhancing tourism experiences and satisfaction.

Moreover, the research contributes significantly to the growing body of literature on Indian domestic tourism, a field ripe for scholarly exploration given the country’s vast and varied travel market. It draws attention to the social dimension of travel behavior—not just individual preferences—highlighting how family responsibilities, social networks, and spontaneous social interactions intertwine to influence travel decisions. This approach resonates with the collectivistic cultural tendencies prominent in India, where travel choices often reflect broader social roles and relational dynamics.

The identification of the “seasoned social wanderers,” a group that embodies both age and social spontaneity, exemplifies the novel insights possible through this combined theoretical lens. It suggests that older travelers are not a monolithic group bound by traditional travel constraints but can exhibit dynamic, socially rich travel patterns. This challenges stereotypical images of aging and tourism, advocating for a more inclusive and diversified understanding of senior travelers’ motivations and behaviors.

In parallel, the spirited travelers’ profile highlights the generational shift towards experiential tourism, where travel is valued not only for escape or relaxation but as a space for identity exploration and social belonging. Younger Indians’ penchant for excitement-laden travel experiences underscores broader societal trends around self-expression, digital connectivity, and social media influence, which redefine contemporary tourism consumption.

The research’s implications extend beyond academia into practical domains of tourism policy and economic development. Understanding the diverse preferences and consumption systems of Indian domestic travelers equips stakeholders with the ability to predict emerging travel trends, optimize resource allocation, and foster sustainable tourism practices aligned with travelers’ evolving expectations. The integration of socio-cultural insights with behavioral data forms a robust foundation for crafting responsive, inclusive tourism frameworks tailored to India’s demographic complexity.

By challenging conventional generational stereotypes and highlighting the intersectionality of age, culture, and socio-economic factors, this study catalyzes a paradigm shift in how domestic tourism consumption is conceptualized and approached. It proposes a move away from one-dimensional demographic segmentation towards a multidimensional understanding that captures the fluid boundaries and overlapping identities within traveler populations.

The study also exemplifies the power of interdisciplinary research by blending sociological theories of consumption with tourism behavior analysis, offering a model for future inquiries into other emerging markets where rapid economic and cultural change is reshaping consumer landscapes. Such research is invaluable in an era marked by globalization, digitization, and shifting societal norms which collectively redefine the parameters of tourism demand.

Ultimately, this pioneering work not only enriches the literature on Indian domestic tourism but also stakes a claim for the broader applicability of integrated theoretical frameworks in dissecting complex travel behaviors worldwide. It presages a new wave of research capable of addressing the nuanced realities of traveler heterogeneity, cultural specificity, and the socio-economic undercurrents that animate global tourism trends.

Subject of Research:
The study focuses on segmenting Indian domestic tourists by analyzing their travel preferences through the integration of the Theory of Travel Consumption Systems (TTCS) and Generational Consumption Theory (GCT).

Article Title:
Segmenting Indian domestic tourists: preference-based latent profile analysis.

Article References:
Pooja, K., Upadhyaya, P. & Mohanty, A. Segmenting Indian domestic tourists: preference-based latent profile analysis. Humanit Soc Sci Commun 12, 1839 (2025). https://doi.org/10.1057/s41599-025-06124-9

Image Credits: AI Generated

DOI:
https://doi.org/10.1057/s41599-025-06124-9

The spatial characteristics of IWOM reveal intricate patterns reflecting both the geographic deployment of tourist attractions and the socio-economic behaviors of tourists engaging with these sites. By analyzing online semantic data linked to OTAs, the research uncovers micro-level differentiations among attraction types, emphasizing the heterogeneity of tourist experiences as expressed in digital narratives. Spatial structure, as conceptualized through human economic activities within defined areas, is pivotal in understanding tourism dynamics. Here, the topology of IWOM serves not only as a reflection of geographic dispersion but also as an indicator of the health and sustainability of tourism ecosystems. Mapping the spatial framework of IWOM enables the identification of regional imbalances, providing a scientific basis for optimizing tourism resource allocation and fostering equitable growth across disparate locales.

Exploring factors influencing IWOM transcends traditional management and psychological paradigms, introducing an ecological lens that situates tourist attractions as dynamic interfaces of human-environment interaction. This approach conceptualizes tourists not merely as passive recipients but as active constructors and propagators of IWOM within both physical and virtual realms. The study synthesizes customer perceived value theory, government intervention theory, and tourist expectation frameworks to unravel the pathways by which environmental, institutional, and digital factors modulate IWOM. This integrated theoretical scaffold highlights a bidirectional relationship: physical attributes and media presence of attractions influence tourist discourse, which in turn reshapes perceptions and spatial environments through feedback loops facilitated by information exchange.

From a methodological standpoint, the research employs advanced machine learning techniques to transcend the limitations inherent in traditional statistical models. The use of the XGBoost-SHAP framework allows for the capture of nonlinear, complex interactions among variables influencing IWOM, offering precision in predictive modeling alongside interpretability of factor contributions. This approach contrasts with linear regression models typically used in tourism geography, which impose restrictive assumptions and often fail to model spatial heterogeneities effectively. Through this robust computational approach, the study demonstrates how nuanced machine learning methodologies can enrich the analysis of spatial determinants and digital dissemination patterns, heralding new frontiers for interdisciplinary research across geography, information sciences, and behavioral studies.

Strategically, findings from Jiangxi Province underscore the critical importance of scientifically guided regional planning to foster growth poles that catalyze holistic tourism development. The research identifies specific geographic areas—central Shangrao, southern Jiujiang, and portions of Ganzhou—where IWOM levels are markedly subdued. To counteract this, coordinated regional marketing strategies are advocated, encompassing cultural asset mobilization, event planning, and the cultivation of distinctive attraction identities. Such integrative efforts aim to amplify inter-regional connectivity, potentiate brand formation, and stimulate tourism flows, thereby elevating both the volume and quality of IWOM across these zones. The premise is that strengthening the web of attractions within a region fosters an interconnected tourism network capable of sustaining competitive advantage collectively.

Enhancing the intrinsic appeal of tourism services is demonstrated as a parallel imperative to foster positive IWOM. Scenery emerges as the dominant influence, indicating the necessity for each tourist site to meticulously curate its physical attributes and cultivate unique landscapes that resonate with visitors. The interplay of government support and internet visibility further compounds IWOM generation, necessitating proactive local policy engagement and strategic online marketing to bolster digital presence. Interestingly, the relative impact of these factors varies across different types of attractions—natural ecological, historical cultural, modern amusement, and industrial integration—calling for bespoke management approaches that account for sector-specific operational challenges and visitor expectations.

Natural ecology attractions, characterized by expansive areas and operational complexity, demand a delicate balance between pricing strategies and service quality to maximize perceived cost performance, a factor strongly linked to IWOM positivity. This contrasts with historical and cultural destinations, where the dual engines of scenic beauty and digital popularity drive visitor engagement. These sites benefit from leveraging local heritage assets and deploying innovative digital campaigns designed to enhance social media discourse and online community formation. Similarly, modern amusement parks rely heavily on the quality of nearby accommodations and active government involvement, highlighting the importance of integrated service ecosystems. Industrial integration attractions leverage their composite nature and strong brands, focusing on deep resource collaborations and experiential enhancements to sustain competitive positioning.

Despite its comprehensive analytical framework, the study acknowledges limitations primarily related to data scope and theoretical breadth. Data collection constraints restricted IWOM analysis to dominant OTA platforms, thereby missing potentially diverse perspectives from emerging or niche digital sources. This limitation cautions against overgeneralization and points toward future research incorporating multi-platform datasets to capture the full spectrum of online tourist discourse. Moreover, while the macro-level human-environment approach reveals collective spatial patterns effectively, it underrepresents the micro-level psychological processes driving individual IWOM behaviors, such as cognitive biases and emotional motivations. To address this gap, subsequent inquiries are encouraged to adopt mixed-method methodologies, pairing quantitative machine learning models with qualitative behavioral experiments and surveys to construct a more granular and dynamic understanding of IWOM generation.

This pioneering investigation into the intersection of online word-of-mouth and tourism geography offers compelling evidence that digital spatial discourse significantly shapes regional tourism development. The innovative use of machine learning algorithms democratizes complex factor analysis, providing tourism stakeholders with actionable intelligence to tailor destination management and marketing strategies. By integrating digital narratives with spatial analytics, the study paves the way for enhanced destination branding, resource optimization, and sustainable tourism growth in Jiangxi Province and potentially other regions with similar socio-economic profiles.

Consequently, the research frames IWOM not only as a marketing tool but as a vital feedback mechanism reflecting and influencing the evolving human-environment relationship inherent to tourism systems. This reciprocal dynamic suggests that successful tourism strategies must harmonize physical resource management with active digital engagement, ensuring that both tangible experiences and virtual representations reinforce one another. In practical terms, local governments and tourism enterprises should prioritize digital monitoring, targeted promotional campaigns, and investment in quality infrastructure to capitalize on the synergistic effects of scenery appeal, service excellence, and media presence.

Moreover, the study highlights the necessity of differentiated approaches tailored to attraction types, considering operational nuances and visitor segmentation. By acknowledging the diversity of tourist expectations and the multifaceted nature of IWOM influencers—ranging from environmental attributes to social media trends—marketing efforts can achieve greater resonance and efficacy. For instance, enhancing transportation safety and accessibility may be paramount for natural ecology destinations, while cultural attractions may prioritize storytelling and heritage conservation amplified through modern digital channels. Amusement parks and industrial sites should focus heavily on hospitality integration and technological innovation to match evolving consumer preferences.

Ultimately, this in-depth exploration of IWOM in Jiangxi Province captures the emergent role of digital platforms as a locus of power in destination competitiveness. It advocates for a paradigm shift in tourism management that embraces cross-sector collaboration, technology adoption, and data-driven governance. By fostering growth hubs, elevating service quality, and leveraging the potential of online discourse, destinations can unlock sustainable value while enhancing tourist satisfaction and regional economic vitality. This study not only enriches academic discourse but offers a blueprint for policymakers, marketers, and practitioners navigating the digital transformation of global tourism.

Subject of Research:
Article Title:
Article References:

Feng, X., Jiang, L., Li, Q. et al. Characteristics and influencing factors of internet word-of-mouth of tourist attractions: evidence from Jiangxi, China. Humanit Soc Sci Commun 12, 1496 (2025). https://doi.org/10.1057/s41599-025-05713-y

Image Credits: AI Generated