# Representativeness heuristic and country of origin quality stereotypes

The Country of Origin (COO) effect has long stood as a central pillar in the study of international marketing, consumer psychology, and behavioral economics. For decades, the phrase "Made in..." has served as a powerful cognitive shortcut, shaping consumer perceptions, brand equity, and purchase intentions in a complex global marketplace. Historically, however, the phenomenon has been examined predominantly through a rigid, Western-centric lens, focusing almost exclusively on how consumers in industrialized nations evaluate products originating from developing economies. In the contemporary economic environment, the paradigm of global trade has fundamentally shifted. The ubiquity of multinational manufacturing, the extreme fragmentation of global supply chains, and the rapid economic ascendancy of the Global South necessitate a rigorous, empirically grounded re-evaluation of the psychological mechanisms underlying the COO effect. 

This comprehensive research report provides an exhaustive analysis of the modern Country of Origin effect, grounding the phenomenon firmly within the foundational theories of cognitive psychology while integrating contemporary empirical studies from 2020 onward. By meticulously delineating the precise mechanics of the representativeness heuristic, exploring the cognitive disruption caused by hybrid products with fragmented origins, and broadening the geographical scope to intra-Asian, intra-African, and intra-Latin American contexts, this analysis captures the complex realities of modern consumer behavior. Furthermore, the report critically examines recent empirical debates regarding the potential decline of the COO heuristic among Generation Z consumers, offering a nuanced understanding of how demographic transitions, digital globalization, and shifting ethical paradigms are reshaping origin-based market evaluations.

## The Cognitive Architecture of the Country of Origin Effect

To fully comprehend how the Country of Origin effect operates at a cognitive level, it is imperative to ground the phenomenon in the foundational theories of behavioral economics. Consumer decision-making is rarely a process of perfect utility maximization. In environments characterized by risk, uncertainty, information asymmetry, and the sheer volume of available choices, consumers lack the time, motivation, and cognitive capacity to engage in an exhaustive analytical processing of a product's intrinsic attributes [cite: 1, 2, 3]. Consequently, human cognition relies heavily on heuristics—mental shortcuts that facilitate rapid decision-making while conserving valuable cognitive resources [cite: 1, 3, 4].

### Bounded Rationality and Prototype Matching
The Country of Origin effect is fundamentally driven by the representativeness heuristic, a foundational concept formalized by Amos Tversky and Daniel Kahneman [cite: 2, 5]. In the context of consumer psychology, representativeness is defined as the degree to which an event, object, or entity is similar in its essential characteristics to its parent population, thereby reflecting the salient features of the category to which it is presumed to belong [cite: 2, 5]. The cognitive framework operates under the constraints of "bounded rationality," a paradigm wherein individuals aim to make "good-enough" rather than fully optimal decisions to avoid cognitive overload [cite: 3]. 

Within this framework, the representativeness heuristic manifests as a process of "prototype matching." Over time, consumers develop deeply ingrained, culturally constructed mental schemas or "prototypes" regarding specific nations [cite: 6, 7, 8]. These prototypes act as dense informational nodes that encapsulate the economic development, technological sophistication, cultural heritage, and political stability of a given country [cite: 6, 8]. When a consumer encounters a specific COO cue, such as a "Made in Japan" label, they do not evaluate the individual product in a vacuum. Instead, they assess the probability that the product will exhibit high quality by measuring how closely the product's category matches their mental prototype of the origin country [cite: 3, 5]. 

If the mental prototype of the country is strongly associated with a specific trait—such as precision engineering or technological reliability—the consumer will intuitively substitute this feeling of "representativeness" for a proper, objective calculation of the specific product's actual quality [cite: 5]. This subconscious substitution mechanism allows the COO cue to function as a highly efficient extrinsic attribute, triggering a global evaluation of performance and drastically simplifying the decision-making process [cite: 6, 9, 10].

### Disentangling Representativeness from Competing Cognitive Biases
A prevalent and problematic misconception in contemporary marketing literature is the frequent conflation of the representativeness heuristic with other cognitive biases, most notably the availability heuristic, the anchoring effect, and the halo effect. For analytical precision, the mechanisms of the COO effect must be strictly demarcated from these competing psychological phenomena [cite: 1, 4, 11].

The availability heuristic involves estimating the probability, frequency, or magnitude of an outcome based entirely on the ease with which examples come to mind [cite: 1, 11]. For instance, if a consumer recently read a highly publicized news story regarding a defective automotive part originating from a specific country, they might subsequently avoid products from that nation. This avoidance is an availability bias driven by recent memory retrieval and emotional salience. It is fundamentally distinct from the representativeness heuristic, which relies on the structural similarity of a product to a stable, long-term, culturally embedded mental prototype, rather than the immediate retrieval of recent or sensational instances [cite: 1, 11]. 

Similarly, the anchoring and adjustment heuristic occurs when individuals utilize an initial, often arbitrary, piece of information (the anchor) and insufficiently adjust their subsequent quantitative estimations from that starting point [cite: 1]. While a high retail price might anchor a consumer's expectation of premium quality, the COO effect does not operate as a numerical or sequential anchor. Instead, it provides a holistic categorical and semantic framework for evaluation.

Most critically, the COO effect is frequently mischaracterized as a mere "halo effect." The halo effect describes a general, undifferentiated positive or negative affective glow that transfers from one known attribute to an unknown attribute, often without any logical connection [cite: 7, 12]. While early literature frequently referred to COO as a "halo construct" that broadly colors overall impressions, the cognitive reality of the representativeness heuristic is far more demanding and specific [cite: 7, 12]. Representativeness dictates that the transfer of equity only occurs if there is a perceived semantic *match* between the product's specific functional traits and the specific dimensions of the country's prototype. A true halo effect implies a universal positive evaluation; however, representativeness explains the boundary conditions of origin. It clarifies why a positive country image in one domain does not universally transfer to all product categories. By isolating the representativeness heuristic, it becomes evident that the COO effect relies specifically on the cognitive mechanism of matching product traits to a mental country prototype, functioning as a domain-specific, schema-driven evaluation [cite: 2, 3, 5].

## The Disruption of Origin: Cognitive Load and Hybrid Products

The classic, monolithic formulation of the Country of Origin effect relies on a single, unified "Made in" label seamlessly matching a single mental prototype. However, modern globalization has fundamentally fragmented manufacturing processes and supply chain logistics. A single complex product, such as a modern software-defined vehicle or a smart consumer electronics device, is rarely the exclusive output of a single nation [cite: 13, 14, 15]. It may be designed in one country, engineered in another, assembled in a third, and utilize raw materials or micro-components sourced from dozens of different nations [cite: 13, 14, 16]. This reality gives rise to "hybrid products" or "bi-national products," forcing a vital re-evaluation of how the representativeness heuristic operates when the origin cue is decomposed into multiple, sometimes conflicting, facets [cite: 17, 18].

### Decomposing Origin: "Designed in" versus "Assembled in"
Modern brand managers have acutely recognized the vulnerability of relying on a single manufacturing origin, particularly when production is offshored to developing nations strictly to reduce labor and operational costs. To actively counteract potential negative heuristic evaluations associated with a developing Country of Manufacture (COM), multinational brands actively emphasize the Country of Design (COD), the country of engineering, or the historical brand heritage [cite: 13, 17]. For instance, major technology firms explicitly utilize the "Designed in California, Assembled in China" labeling strategy to bifurcate the consumer's origin evaluation [cite: 19]. 

This strategic separation intentionally disrupts the traditional representativeness heuristic. When a consumer evaluates a hybrid product, the previously unified mental prototype is fractured. The consumer is forced to simultaneously process two distinct cognitive schemas: the prototype of the COD (often associated with high-level innovation, rigorous engineering standards, and prestige) and the prototype of the COM (often associated with mass production, cost-efficiency, and scale) [cite: 13, 17, 20].

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### Cognitive Dissonance and the Architecture of Fit
From the perspective of cognitive load theory, fragmented origins substantially increase the intrinsic cognitive load required to evaluate a product [cite: 3, 21, 22]. The representativeness heuristic inherently prefers clean, high-fidelity matches between a stimulus and a prototype to maintain cognitive fluency. When a product is bi-national, the consumer experiences cognitive dissonance if the two country prototypes are incongruent in prestige or perceived capability [cite: 13, 17].

Empirical research explicitly investigating this dynamic reveals that the concept of "fit"—the logical connection, synergy, and semantic congruence between the product category, the COD, and the COM—is paramount to the final evaluation [cite: 17]. If a vehicle is marketed as being designed in a technologically advanced Western nation but is assembled in a region lacking an established automotive manufacturing prototype, the consumer struggles to resolve the competing cognitive cues. Consequently, the consumer is forced out of the automatic, heuristic processing mode and into a more deliberative, analytic processing state. This shift significantly weakens the immediate, subconscious impact of the traditional COO effect [cite: 2, 3, 5]. 

Studies indicate that purchase intention remains significantly higher when a hybrid product is assembled in a country that shares a congruent or complementary technological prototype with the design country [cite: 19]. When the COM lacks a strong positive prototype, the negative effect can actively drag down the premium associated with the COD [cite: 17, 19]. To attenuate this unfavorable assembly effect, modern marketers frequently employ strategies of "producer personification," emphasizing strict corporate quality control frameworks that transcend geography, or heavily anchoring the brand's core identity to the origin of its design rather than its physical manufacture [cite: 14, 23]. 

## Broadening the Horizon: Global South and Intra-Regional Dynamics

Historically, country-of-origin research has suffered from a profound and pervasive Western bias, disproportionately focusing on how consumers in North America and Western Europe perceive products imported from developing nations [cite: 24, 25]. Alternatively, it has focused on evaluating the "liability of foreignness" that non-Western goods face in premium global markets. However, the rapid acceleration of South-South trade, the formalization of regional economic blocs, and the multipolarity of global supply chains necessitate a rigorous investigation into intra-Asian, intra-African, and intra-Latin American COO perceptions [cite: 26, 27, 28, 29].

### Intra-Asian Perceptions and the ASEAN Economic Community
The Association of Southeast Asian Nations (ASEAN) provides a highly compelling context for modern COO dynamics due to its rapid economic integration and the formal establishment of the ASEAN Economic Community (AEC) [cite: 30]. Within this bloc, the traditional paradigm of evaluating a single nation's origin is actively evolving into a regional paradigm. Empirical studies measuring consumer ethnocentrism for high-value consumer goods within ASEAN emerging markets have established the statistical validity of a new "regio-centric" scale [cite: 24]. 

In a pivotal study involving 720 car owners equally divided across the three largest automotive markets of ASEAN—Thailand, Malaysia, and Indonesia—researchers confirmed that a regional ethnocentrism construct is now as relevant as classic country-based constructs [cite: 24]. Consumers in these markets increasingly view regional markings (e.g., "Made in ASEAN") as acceptable, collaborative variants of national markings. The mental prototypes held by consumers are expanding beyond rigid national borders to encompass regional identities, driven by the practical realities of intra-ASEAN free trade agreements which actively downplay protectionist elements [cite: 24, 31]. Furthermore, high levels of intra-Asian mobility, including significant inbound student and labor flows to countries like Japan, China, and Malaysia, solidify socio-cultural integration. This mobility softens rigid nationalistic biases and fosters a more cohesive, collaborative regional product prototype [cite: 26, 30, 31].

### Intra-African Integration and the SADC Paradigm
In the African context, organizations such as the Southern African Development Community (SADC) and the broader African Continental Free Trade Area (AfCFTA) are dramatically reshaping intra-regional trade flows [cite: 28, 32, 33]. Research examining intra-SADC trade reveals unique COO heuristics, particularly concerning perishable goods or items heavily reliant on quality assurance and sanitary/phytosanitary (SPS) measures, such as fisheries and agricultural products [cite: 34].

Unlike affluent Western consumers who might primarily use COO as a proxy for technological prestige or luxury status, consumers within the SADC region frequently utilize COO as a critical heuristic for safety, baseline reliability, and institutional trust [cite: 34, 35]. Because inadequate border procedures, logistical bottlenecks, and differing SPS regulations among SADC member states lead to significant variations in product quality and safety, the specific country of origin becomes an essential risk-mitigation cue [cite: 34]. Furthermore, the strategic push for regional industrialization, infrastructural development, and macroeconomic convergence under the SADC Vision 2050 framework is actively attempting to reshape the "Made in SADC" prototype [cite: 32, 36]. The goal is to elevate the perceived value of intra-regional manufacturing to reduce dependency on extra-regional imports. However, evaluations of regional integration indices demonstrate that while industrial policy is advancing, the disparate quality of human capital and infrastructural dimensions still heavily influence how neighboring African countries perceive each other's manufacturing outputs [cite: 33].

### Intra-Latin American Perceptions: Cosmopolitanism versus Nationalism
In Latin America, the study of Country of Origin effects intersects deeply with complex socio-political dynamics, particularly the ongoing tension between regional cosmopolitan identity and protective nationalism [cite: 25, 37]. The region has experienced significant intra-Latin American migration and acute refugee flows, most notably the exodus from Venezuela to neighboring nations such as Colombia, Peru, and Ecuador [cite: 37]. 

Recent empirical research demonstrates that these migration patterns directly and potently moderate consumer attitudes toward foreign origins. Generally, a cosmopolitan identity is positively associated with pro-foreign and pro-immigration attitudes, which translates to a high receptivity to products from neighboring states [cite: 37]. However, this positive relationship is heavily attenuated as refugee inflows increase, frequently triggering nationalist and "securitist" responses in the host populations [cite: 37]. In the context of consumer psychology, these intra-regional tensions directly influence the COO heuristic. When political or social friction rises between neighboring Latin American states, consumer animosity increases, negatively biasing the representativeness heuristic. A product from a neighboring country may be cognitively penalized by consumers—not because of an objective lack of manufacturing capability, but due to socio-psychological tendencies and in-group/out-group biases triggered by geopolitical events [cite: 25, 37, 38]. 

Simultaneously, financial data reveals growing intra-Latin American economic interdependencies, with regional stock exchanges (such as Mexico's IPC and Brazil's BVSP) demonstrating high levels of volatility spillover, indicating that Latin American markets currently hold a more dominant role in regional financial transmission than traditionally assumed [cite: 39]. This creates a complex dichotomy where economic policy and financial markets seek to blur borders, while consumer nationalism periodically reinforces them, complicating the regional COO landscape [cite: 29, 39, 40].

## The Calculus of Moderation: Boundary Conditions of the Heuristic

The magnitude and directional impact of the Country of Origin effect are not uniform across all consumer demographics or product categories. The representativeness heuristic is highly sensitive to boundary conditions, heavily moderated by psychological variables, product characteristics, and deep socio-cultural factors [cite: 7, 41, 42]. A quantitative meta-analytic review encompassing over 499,000 observations confirms that the focal relationship between COO and brand evaluation is subject to significant between-study variance based on these moderators [cite: 41].

### Consumer Ethnocentrism (CETSCALE)
The most extensively researched moderating variable within this domain is consumer ethnocentrism, typically operationalized and measured via the CETSCALE [cite: 24, 38, 43]. Consumer ethnocentrism is not a measure of cognitive capability; rather, it reflects a profound socio-psychological tendency rooted in moral beliefs regarding the appropriateness, loyalty, and economic responsibility of purchasing foreign goods versus supporting domestic industries and preserving local jobs [cite: 7, 38]. 

Highly ethnocentric consumers exhibit a profound cognitive bias: they inherently favor domestic alternatives even when objective performance metrics or expert evaluations demonstrate that foreign products are superior. Furthermore, ethnocentrism acts as an active cognitive filter that systematically discounts positive information about foreign brands [cite: 38, 44]. Under conditions of high ethnocentrism, the representativeness heuristic is essentially weaponized to shun foreign prototypes [cite: 7, 12]. This effect is particularly pronounced in categories perceived as economically vital or symbolically tied to national identity, such as domestic agriculture or national automotive champions [cite: 43, 44]. 

Conversely, in many developing markets, a phenomenon known as "consumer xenocentrism" or cosmopolitanism can emerge. In these scenarios, consumers—particularly aspirational or younger demographics—systematically prefer foreign Western products as a mechanism for status signaling and social distinction, thereby entirely reversing the traditional directional impact of ethnocentrism [cite: 38, 45].

### Knowledge, Familiarity, and Cultural Distance
Beyond ethnocentrism, a consumer's pre-existing knowledge base significantly moderates the COO effect. Consumers lacking familiarity or direct experience with a specific product category show a much greater reliance on accessible country heuristics when making appraisals [cite: 7, 8]. Because they lack the expertise to evaluate intrinsic attributes (e.g., processor speed, material tensile strength), they default to the extrinsic COO cue. Conversely, high objective knowledge strengthens the motivational capacity of the consumer to counter-argue or downplay the origin information, reducing potential biases [cite: 7].

Brand familiarity also acts as a potent moderator. A strong, highly familiar global brand (e.g., Apple, Sony, Nike) facilitates stronger, more stable brand knowledge structures in the consumer's mind. This pre-existing brand equity often overrides the need to rely on the origin heuristic, dulling the impact of the COO effect [cite: 9, 19, 44]. Finally, cultural distance—the perceived disparity in values, norms, and behaviors between the consumer's home country and the product's origin country—can amplify negative biases. Greater cultural distance typically increases the perception of risk, leading the consumer to require stronger intrinsic evidence of quality to overcome the initial hurdle of foreignness [cite: 44].

The following table synthesizes the primary moderating variables, detailing their psychological mechanisms and their specific directional impact on how consumers utilize the COO heuristic.

| Moderating Variable | Definition & Cognitive Mechanism | Directional Impact on COO Heuristic | Target Outcome Most Impacted |
| :--- | :--- | :--- | :--- |
| **Consumer Ethnocentrism** | Moral belief in the superiority and economic necessity of purchasing domestic goods to support local industry. Acts as a strict cognitive block to foreign cues. | **Strengthens** positive bias for domestic COO; **Weakens** evaluations of foreign COO regardless of objective quality metrics. | Purchase Intention (frequently overrides objective product evaluation) |
| **Product-Country Fit** | The semantic congruence between a country's established mental schema and the specific product category being evaluated. | **Strengthens** heuristic efficiency and effect size when fit is high; **Nullifies** or disrupts the effect when fit is exceptionally low. | Product Evaluation (Perceived Quality & Brand Image) |
| **Consumer Knowledge** | The extent of prior expertise or objective data a consumer possesses regarding a specific product category's intrinsic attributes. | **Weakens** reliance on COO. High-knowledge consumers rely on intrinsic cues (specifications); low-knowledge consumers rely heavily on the COO heuristic. | Product Evaluation (Risk Mitigation) |
| **Brand Familiarity** | Pre-existing cognitive structures, awareness, and trust established with a specific corporate brand name. | **Weakens** reliance on COO. A strong, familiar brand acts as a primary, overriding cue, reducing the cognitive necessity to rely on the country schema. | Purchase Intention & Brand Attitude |
| **Cultural Distance** | The perceived disparity in cultural values, societal norms, and behaviors between the consumer's home country and the COO. | **Strengthens** negative bias. Greater cultural distance increases risk perception and decreases automatic trust in the foreign prototype. | Brand Trust & Perceived Value |

## The Product-Country Match: Domain-Specific Prototyping

As established, the Country of Origin effect is heavily moderated by the intersection of the specific product category and the country's specialized prototype [cite: 17, 41]. General Country Image (the overall perception of a nation's macroeconomic status and political stability) is historically less predictive of consumer behavior than Specific Product-Country Image [cite: 41]. The representativeness heuristic requires specific trait matching to function effectively. 

For example, the mental prototype of Germany is strongly associated with precision, heavy industry, unyielding reliability, and engineering excellence [cite: 13, 14]. Consequently, the COO heuristic dramatically strengthens consumer evaluations and willingness to pay significant price premiums for German automobiles or complex industrial machinery [cite: 13, 46]. However, this exact same German prototype does not seamlessly align with the cognitive schemas required for high fashion, luxury cosmetics, or avant-garde design. In those domains, the mental prototypes of Italy or France completely dominate due to deeply entrenched historical associations with aesthetics, artistry, heritage, and meticulous craftsmanship [cite: 47, 48]. If a product's attributes do not seamlessly map onto the specific cultural and industrial prototype of the origin country, the COO effect is significantly weakened.

To fully synthesize the concept of Product-Country Match, the following matrix outlines classic country prototypes and their directional alignment with highly globalized product categories, demonstrating where the representativeness heuristic thrives and where it fails [cite: 15, 17, 41, 47, 48, 49].

| Country of Origin | Primary Mental Prototype Dimension | Alignment: Electronics & Tech | Alignment: Luxury Goods & Fashion | Alignment: Automobiles & Heavy Machinery |
| :--- | :--- | :--- | :--- | :--- |
| **Germany** | Precision, Durability, Engineering Excellence | Moderate (Viewed as functional, but not highly associated with consumer tech innovation) | Weak (Fundamentally misaligned with the aesthetic/artistic luxury prototype) | **Strong** (Core prototype match; elicits high trust and significant price premiums) |
| **Italy** | Artistry, Craftsmanship, Unorthodox Aesthetics | Weak (Not associated with high-tech infrastructure or software integration) | **Strong** (Core prototype match; heavily drives conspicuous consumption and status) | Moderate (Strong for the luxury/sports niche, weak for mass utility or reliability) |
| **Japan** | Miniaturization, Innovation, Relentless Reliability | **Strong** (Core prototype match; elicits exceptionally high trust in technology) | Moderate (Growing niche appeal in avant-garde fashion, but secondary to Europe) | **Strong** (Core prototype match; dominates the high-reliability and efficiency prototype) |
| **China** | Mass Production, Cost-Efficiency, Unprecedented Scale | Moderate to Strong (Rapidly transitioning from low-cost assembly to high-tech innovation) | Weak (Historically faces severe stigma in premium, heritage luxury segments) | Moderate (Emerging EV sector and battery tech are actively disrupting traditional prototypes) |
| **France** | Prestige, Heritage, Exclusivity, Romance | Weak (Not a dominant or recognizable high-tech prototype globally) | **Strong** (Core prototype match; dominates via deep brand heritage and prestige) | Moderate (Strong domestic loyalty, but lacks the global premium dominance of Germany) |

## The Generational Fracture: Is the COO Effect Declining Among Generation Z?

In recent years, particularly from 2023 onward, a robust and highly contested debate has emerged within the academic literature regarding the longitudinal stability of the Country of Origin effect. A growing faction of behavioral researchers and marketing analysts argues that the heuristic is actively declining in importance, particularly among younger demographic cohorts, most notably Generation Z [cite: 50, 51, 52, 53]. 

### Arguments for the Decline of the Heuristic
The hypothesis that the COO effect is actively fading among Generation Z is predicated on several converging socio-cultural, technological, and economic shifts. First, Generation Z represents the first cohort of true digital natives. They are inherently cosmopolitan, universally connected via the internet, and continuously exposed to global cultures, which theoretically homogenizes their consumption values and dilutes rigid nationalistic prototypes [cite: 52, 54, 55]. Bibliometric analyses mapping academic marketing trends from 2020 to 2025 indicate a massive shift in research focus toward social media marketing, sustainability, and artificial intelligence, suggesting that traditional geographic boundaries are becoming secondary concerns for modern consumers [cite: 56, 57].

Empirically, specific studies have shown that in highly relevant consumer markets—such as plant-based meat alternatives, fast fashion, or consumer electronics—Generation Z prioritizes price, convenience, and objective sustainability metrics over national origin [cite: 51, 58]. A 2024 empirical study assessing Generation Z consumers in Slovakia revealed notably below-average levels of consumer ethnocentrism, indicating that national origin did not significantly dictate their purchasing behavior compared to older cohorts, such as Baby Boomers, who continue to heavily emphasize product origin [cite: 53, 58]. For Generation Z, the presence of an ecological certificate or a transparent sustainability pledge often outweighs geographic provenance [cite: 58].

Furthermore, Generation Z's heavy reliance on digital influencers fundamentally alters the informational landscape of product evaluation. When evaluating a product, the credibility, trustworthiness, and perceived homophily (the tendency to bond with similar others) of a social media influencer often entirely supersede the traditional extrinsic cue of where the product was manufactured [cite: 55]. If a highly trusted, local digital influencer actively advocates for a foreign brand, that local advocacy can effectively neutralize any negative out-group biases traditionally associated with the foreign origin, facilitating Online Brand Advocacy (OBA) independent of geography [cite: 55]. Finally, the sheer ubiquity of globalized supply chains has made younger consumers acutely aware that "Made in" labels are often superficial or legally manipulated, leading to widespread, systemic skepticism of origin as an accurate indicator of intrinsic quality [cite: 13].

### Arguments for the Evolution and Persistence of COO
Conversely, a competing body of recent empirical research maintains that the Country of Origin effect is not dying, but rather evolving and manifesting in highly specific, context-dependent ways tailored to new generational values [cite: 43, 54, 59]. 

While overarching, uncritical nationalistic loyalty may be declining in Western Generation Z populations, the heuristic remains exceptionally powerful in specialized product verticals and specific regional markets. For example, a recent empirical study on Generation Z consumers in Indonesia demonstrated that while direct COO effects initially appeared statistically weak for Korean skincare products, the dynamic changed entirely when mediated by "perceived quality." The COO effect became highly significant, revealing that for these young consumers, "South Korea" serves as an unbreakable, potent mental prototype for advanced dermatological innovation and aesthetic perfection [cite: 59]. 

Furthermore, the heightened social and environmental consciousness of Generation Z frequently translates into a new form of "ethical ethnocentrism." In developing economies such as the Philippines, Generation Z consumers demonstrate moderately strong ethnocentric tendencies toward domestic product categories like automobiles and clothing. However, this is driven not by xenophobia or a belief in superior domestic quality, but by a pragmatic desire to support the local economy, sustain local communities, and reduce the carbon footprint associated with global shipping [cite: 43, 54]. In these instances, the COO effect is fundamentally repurposed; local origin becomes a heuristic for ethical consumption, economic solidarity, and brand authenticity rather than sheer technical superiority [cite: 51, 54]. Thus, while the broad, uncritical application of the COO heuristic may be waning due to the complexity of globalized manufacturing, it remains a highly potent cognitive mechanism when carefully aligned with Generation Z's specific values regarding authenticity, sustainability, and domain-specific excellence.

## Strategic Implications and Future Directions

The synthesis of these cognitive, geographic, and generational dynamics presents profound strategic implications for international marketing, supply chain management, and global brand positioning. The era of relying on a monolithic "Made in" label to universally elevate brand equity across all demographics is definitively over. Multinational corporations must now navigate a landscape characterized by fragmented origins, highly discerning and digitally native consumers, and complex regional identities in the rapidly expanding Global South.

1.  **Navigating Hybrid Origins and Cognitive Load:** Firms utilizing complex, multinational supply chains must actively manage the cognitive dissonance inherent in hybrid products. If a product's Country of Manufacture carries a negative or weak prototype, brands must aggressively amplify the Country of Design. This can be achieved through strategic packaging, transparent corporate storytelling, and emphasizing strict, globally standardized quality control protocols. The goal is to anchor the consumer's representativeness heuristic to the more favorable design schema, minimizing cognitive load and ensuring the evaluation remains fluent [cite: 3, 17, 23, 47].
2.  **Leveraging Emerging Regional Prototypes:** In regions experiencing deep structural economic integration, such as ASEAN and SADC, marketers must explore the long-term viability of regional labeling. Capitalizing on "Made in ASEAN" or AfCFTA-aligned branding may resonate strongly with consumers who possess regio-centric ethnocentric tendencies. This approach allows brands to bypass specific bilateral national animosities and tap into a broader sentiment of regional collaboration and economic solidarity [cite: 24, 30, 32, 33].
3.  **Adapting to Generational Values:** To effectively target Generation Z, origin strategies must be deeply intertwined with verifiable values of sustainability, ethical production, and brand authenticity [cite: 58]. If a brand is leveraging a foreign origin in a new market, it must utilize local digital influencers to build perceived homophily and trust. This digital advocacy is essential for bridging the cultural distance that might otherwise trigger skepticism, transforming the origin from a potential liability into a narrative of global-local collaboration [cite: 43, 55].

## Conclusion

The Country of Origin effect remains a highly resilient, albeit increasingly complex, component of modern consumer psychology. Stripped of theoretical misconceptions, it operates fundamentally as a manifestation of the representativeness heuristic. Consumers, operating under bounded rationality, match product attributes to culturally embedded national prototypes to simplify complex decision-making under conditions of uncertainty [cite: 2, 3, 5]. 

However, the automatic efficacy of this heuristic is no longer guaranteed in the twenty-first century. It is subject to severe cognitive disruption from the fragmented origins of modern hybrid products and is strictly bounded by moderating variables such as consumer ethnocentrism, cultural distance, and product-country fit [cite: 7, 13, 17]. Furthermore, as global economic gravity shifts toward the Global South, intra-regional dynamics in Asia, Africa, and Latin America are forging new, localized consumer prototypes that defy traditional Western-centric models [cite: 24, 34, 37]. Concurrently, the rise of Generation Z is forcing an evolution of the COO effect, transitioning it from a blanket indicator of industrial quality to a nuanced signal of authenticity, domain expertise, and ethical alignment [cite: 43, 54]. Ultimately, mastering the modern Country of Origin effect requires moving beyond simple geographic labels to fundamentally understand the intricate cognitive mapping, the shifting geopolitical landscapes, and the evolving ethical values of the global consumer.

**Sources:**
1. [odu.edu](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQHMFU0pC9Gn_lgeDXFQnPyY_tQWbWyyUi6Pg2fcVRogpJazF_X247Bt2hYzvzBzKAjIkFF_ci_Z1qJKk6hwlYPcWutoaq-ISQ9cdwpI2zJrZybJoHwh-bBpnf3isav9Of1JHDkemMz03F0OxWoUVXlRv_iPTIH-kLefhXltz4enWWxdENQ6JeThtXdjtDibzA==)
2. [econstor.eu](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGolEOzwmLHGG8us81gSn47blno_nOdmyYkRMRr_iRtc-SzFWFb7QFErE5LYcxlQ4JJCmY3MfqtwSdCFX-cukio0r-rzqPQZ8FEnOyqv8eKQACQeILfdF5NF8DbWkU6mwqvOyvGgRdzmVholWvxnQLBC6AY-xWuu8A=)
3. [nih.gov](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQETjYB2qtV5Mz_qV2If_-WEzM_cpUNgM1-wx9KMdx_jcUBbjofJcf0l-GMZJ3o_dDn6n5nabjjbJXr2ot6qARG90lj-VYfMefhcIg5flU_MKyg64fbjEBBD5h0nT2k9z9gtWX5x4O1W)
4. [researchgate.net](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQHAMRX4e6tz1LLGpV-ENjsVlLKFbfLczEr-epnNT9_aMPG7ICmZVl78RU3jXksYS7afxN6VAf_eCdym5akkF8T3MHVTj29YnJqNZlOrZTQ41wzoILYeT8dC-D6b6hS__YEOlHHp1MViTPheSDQ7NzbzSF-kV-Rxjs40AFGL1xoe8xviWrJbcrhYnrVus9ha575P6rdYBJVsnlbxgxV9mWkkmhkWrZ_mbJm_2-A=)
5. [uq.edu.au](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQEHYbyUepTxZuab0FQskLtggfnD1rM9Xs-itpjHhMK9zzq6b06ugnDEuHol7H-0c-zYA4ix9kP2f68VgBRJX4u4yhMrfibGRRjSn7hEedDSIxn-4tuISFNYq096Jnteyyy5U7fdr4WYUBxam3B8bywy_0FEdenEf5FK67koow==)
6. [wikipedia.org](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFYwnOcz3GGajwZGX2KQs3SZ-_JuhKAXDVX6jx8DHneZxxmbF9-uHGuohrRDEwYSPGXzYQfrR7ALuYZ3dNbZ6A9ZJK9Wn-tFrRhtCSn_Cf9-xwHSoPnCDfBHtJ44ju73iQGEqgQGqNodSVISg==)
7. [preprints.org](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQHs2JvSdrB8D07QbD3TVhS6AERvAaOat14ILk3UGNtRlqpsdAnVRiyZie2zfj9E6Qfvehv4fA2rAauANE0njKV7SrEmgSTXI2jP_XbxQoFM7lCWV5XmRQvmkwthtLlpBsZUNcQLpw==)
8. [core.ac.uk](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQHbg7Q_UnmlMaT7k1m7iJZogMjqVZts8YnAThJp_Gfi921Wcd0xqCNGZkzTICRiB7nr66pxJlL6DZS-4yLxyLbNNCpj1dnVCf6zZu8XRNSf3TWN3dAwnQcWrBvmCOFn1xJHfXpQJTY=)
9. [eajournals.org](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGy52GCe4un9U1LbQMBNSDF_MfiugZLLD4o7XI_XAf13TyTJ3PxPTygyQHgBCgMVC4F4Z41CfTe7oeDFe5-sj0m0YA_KQr69381eO3DSYOUkCgFeq735OHjMVUigK2aDTnkpz2sVk2lpx3vrLN4hncjkpGpaSKO83zREXPifvxkSYXz)
10. [scielo.org.za](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFl1daCsxOn_tWYSKvdNF_X8Fs9wIAWy4BafB0rMBfMr6nl_PO56Yh-xS8ntUEz0vL8EatXQJjNPG5Ud58IimPnb_JyqZd4wHuxOoo-cVDdWKjpf4BtiRSw8-5SoK-GrfGLDRR-dtYiCRO2jqsfRgAqGcpH-Gb8bprdcHhmrtis0nYXqUk=)
11. [wordpress.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQEx8lT8Lw9c0ekDNTiUn95fg8HXy5cx5A-ALon8fTO_Hh2EN5DCsbbgPCF5v3MDY6LObs4K4HduPeKO3DOhxesQpvQLbpP4IZF4UQ12a3jBIPnsuHWBfVWLC7RjfU52bpQjQQiMsqF1yO4qIBcCTGxdkTRpEjT7_vxrbpwc8NY19W9zAwV33byqQPUlCGSsnel4-rH41edlUJgciCTAE-vO1diJUrWCiX0hYA==)
12. [researchgate.net](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQEWkwA6548zl-meqORzlro0Di9jWCygBp6OB5NB4qVIZ-4eK1tb-un36FhzpabIKajYSryYeQhiGWj4g5Vz2unY8RCtLnBN_7o4bAuj5UYmgN9d2orysmmn2qZGGHOQuoAn0aj-Mdg2cJgeoPOMkhj-SZeaa0J_LdUjGWwhmTgGyzMAhN97qlk_3q9APb1cKU23uUSBMp2cMoJu9Aivw_PMgHkPoc6TvC9eyog3AAwVq6VQn94vHnk6M2OoSA7v6_ba)
13. [uwasa.fi](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQHi_jHio2ZhYJBH7Mg2j9sJoDcUBcS8_O3Cr9JejjjYsEGkKWHgMfJRGhl5rfG9O3qvMCYt38oucWE5hB4qm1-zYXvL0hBY5OAnU5ezx0V07ySLDfR3m8sCljjxAmdQ6cLBcQWGdJSw8HPVN1wM7W-IKzTZROhAGSc8zU_56-kxMkcJDOuthMyEtxadj3EieJ7CsjM=)
14. [unipv.it](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFTdUND0GiDLkVsC2ywT6smsOazsMlwboptpNGYBTPVGTEiubpO1l_PDXppyGRIymjebR_tQ2qNATd5UBqzSOMQAAIxva3h-66TZi2NFgk4dytcw9ScqvE2-nX-WODawzjGig61RuopGTrrRzUg-FRF_SJ929E0JJFVLDOwdcSgqQYEc6R5kseoG88WvmENsg-Mh16NbI15)
15. [mckinsey.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGJ251cqxPcZGPNVn1okKAGgB1VIotW5cy3Xg088RCR-TIakIisL-FXWRJ3VRyZrf7LbNxy7NCdoHyvbEiyUJBUdDeFbSWiZTMJ7JvjIaTWNFftFWe7J_p_Y5NX8ZIznrp-NfGEwDSbOdMtEs6M6epmCuqLVMMHVlqUzZ77PAfCf9z1BpjzXDncIFLvDFy6T5jiv2esTCYQsI5k73PCXDqrFaCdBprd9GDnuRdZ-QsVgyW0wQUwRB1g8B5zVBTMBqKVZQ==)
16. [pi.events](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQErf-sNR7foMBov31K61GHYpfWsc2RNUtQ4thiEguOTDyD5kyTs7O7dMkjLRTp9aZyDStR_7d1dAboJbKYAw6qA6i5Z_JSw-OHjCOsB5y_k_eaKl8tFPCFZvz5yOITJJA5bPqqppprIuxinh2h3L7dEkGSwzSi1lmNUjS09)
17. [researchgate.net](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQEusKSlfQTj9qpYAkC-w6XXgFCvHtj2yWOUEJRbcsyjN6lbr3GMPToea6LeCfwGXZHXjezaOGSwKEPuAcqiHNsCbT4Bd0S8IdE4K90TjMQRVtvm-Y75Gitq4O92xerRrqU2ubZCde_3HbyreF-PEYO-uO1AJhS5vPtO187hsrbJSIV1pgD0Qb-aL7cyO6u68lDYyVN-VM0RRVGv8rEDRgjWcp63H4Y8IIsYJDl96xfr53tIECeR1tUdlOTz2ixa7nL7ejVhTxSrs0QDt58sSJSpIsY-zWn31Yk0eEDsGlU3rC4Pj2Q5XddjwN2C9cr5YrXpBtCKmuN4UWu2YSOgEa1ggBfnDM2YVaaJYa8=)
18. [nih.gov](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQELC8WbVnXUFJedgSs2SLlAoAUrl5jM6wuFUWj09kaDXA1o7mEQWobaQPwi8pRNa1kWpfDIe7vsaH0vvZrZdkMwiOSGBsoOI-cVA1-7xVonrvuyMWgfw3-N4lOnKmt4Xecxu-sGD16q)
19. [researchgate.net](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGw8Mwbt1dQc5KEFYb3pqh02QAPZASQiwdfm9pyblaxH5iMv1QsFxVu6wTa4AoK6A9zwD5tFMEjYNzv2As1Tsyh7soOvXhxYaYFWBRBo81fOjJ_BChDvv465DQRT6_iZ4MhSBwinMGdb-cIRjWVn6V5O1uW6dbGOU_L8ASfVolJX7b55G_0GMf-Kv6MQK_yM9HzCcCtftL7WNehYEombmhfV-kYYKBmc795GDEDIETXZYfqFQ==)
20. [oecd.org](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGcTWIWHfJ63nwfTsBSaAd2y9bYyLLRR-gpmqNf0kGDpimFbiDrHNgxz3kpve53_j-GNzfhPuYZFm4i1zzCk8cGdEUCMUm2KNyG2_MWeZPeGTF_zVzjywGz1mZjLf9HUqMF5FakI28z5HsYJXvBR3QVuIfE5AMXb5sllecLIKcibN1kn22lFnMQYrnr9zw=)
21. [frontiersin.org](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQEsWSkvuhTHrITppgs9caXB0uHAQRHFDCkJ6ke9bqOCTt4PJGDkUmjDwm-EnQMNeA5AwDhEKtwT8OUNoHxU2C8-tinQngmnvL2ZL5gP79i657sGKyfmEIb0aItmDsscBjAz3HLCTyJ1uFvHSlSDVNhj1-BNjHP6b2b-gyXMo9gVsdlOA8VXDARxbkdMw_jbNuGtGATbNdpr5JE=)
22. [aclanthology.org](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQHr2fEsTXo3sb0lgq9UUU4bIUGHTmmHN9BuxXnWRDvIEnEMJ5yMxuwdOo7mXQNBpMIDgLZdOSpJcabFEicYJj8FwvUx6pxizYXOlZR2S16ChuLZAhMr5GUJM3fzH3Dn4UpR)
23. [squarespace.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFuCbJDYZFAC3v4va-a5EJtkG7KaxR65eBjK_dJ3gDDzaRg7cHR1O8osBvPJpsW7IEXLQPeb3t-1GiA5pfJm6Kr074I7qHBMA-lrs0R5j0SqtBoPOSd6bgRLxRgewy8YlX60BMchWF9c90DnGRAq28yMdMdMXU4xgX8MzEujVizfa3JriIxUHs2mcoJiYS3CSYElH6Qns0v2VaahrhSdoaNrNjQTYBpQ-1cu7uNsFp7QEKOM5v02EDf5ugJAeFPmCsCf5oAcxo=)
24. [researchgate.net](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQEMp0kg7t1S6AUvGPigDQu2SGUZ53jljoiBcQAe6PJa-4gctExKOnHOYBXuwcwOkkuNu8En4j7YCtCLlPAtL6VB3-H3ZFqEMT2REKetYpxGP5uxPlAgazryzzgqAAklA7V9uUM-luZK8mkAo-YSNXBt47Ep8nbZRz2UDy7AmuoK_b11VvvY6qIe15P2vgALY8vxIghheOqKca7KvNtTW98oWFd4Ubt7OZoYg8b7Hj0v)
25. [f1000research.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQEjaLOwlnEWkxc3J85snRjWIXedwCJj3NeJHOYKKtG8ADnFPM8Om9wb5TDushj0VAUIuST-WclHw-geQMu_kWALuBDlzkmSy9WGITEqc6UiML7Y5MeX7TvxetwjEfJI)
26. [tandfonline.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQEOdU26AUh1PTSBLLCT4NVbUUZJk9Kr6BazkxpUa9Ht5Hzu8gjgBaHiQwBxIYkZdMh21X4rkOWNQjD4-bghJz1Uo7u2M72UgwTVLfPtbqC5A331MMOlK02Dz9IpnE7eTBdjvf4n5gnIldjxaj5BDjSjmxzHF-Bg)
27. [valoraanalitik.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQH7YwbNvPxZVgFysjXLL9r-yTcav3dwpyQ1OxJxtmN6TXOApjskdjqDjNhY-9CuFqSO5wSvOfkHb69gLvN6hAD-uY5EIG0eGoCEyY3Yj8gBC11QiyXmA5GjYd2fwuaXD1sqaZyv7mwYXuYn_Ke8AAu8rq5pmXCcM8EGvQ__wbzB-2cn2t1woXO_IxWMY921VumHqKGt0h_nRmJLLNdwTD9Dasxw2yL2X9AEEqv6sA==)
28. [state.gov](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFvndloEobYdUUUJRCRAZxSwZ7-0TuqoHq7vDfGrMKQKS8xm7pPgfvwWAnUCr4lGtcgE1WHiNGCkTNU_I0BPX0f7voE0Pnvp7rb_Bg9lv5zIS6gIssr7ha5BR-BcGk7d0IairI=)
29. [researchgate.net](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQEKHmaCUUrUWyCo3fAV-kzh9pc7xayl3VRuhwcvGz-GaVPgM9uGB4CgYLcpAvu8zOMFd0LzIfrwyX7kGDimZlq7jAsoQdAENTRu-ByW1z7bgtKmNR9yBhGNb2JMZP-YSBXZAhp8KBWDR_WlxGpIErpj0h0wT3buMV2ytRq0qwU-5QhEQ8YONiKzs7ytH6Qo)
30. [ssoar.info](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQEtgRpQglkn3i0-fRT568lkZ0q3IsYydYr1H0nw2oqO3n9t56cUR4iaQCJJ0I7w9IKLVLaTc6rct32aVkveiRiCFXexcYRiql6gs3Wq_ORms3leGantrW0NDhpSTZuiPj7ySZQXl8u9JrqgL2NLGoC450QExVQ_PYEywwBM0oA36UVTXkSshWtFxkEIEtTNqyblxd_Vp4-hDrN-KpbrzcgekkHKkjeMHqVxiIE4hcvdorv2KHrUPGQFTp-5qBo8L9tO6LypEFgNLaN-5PuNahKT4PkLezE=)
31. [asean.org](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGISenUfjKjvZZLtanv443YWgemOMR8R_a6JxH5YcegSXGyiGJAFyh6Y8fmkesfMswN723xxWoqMt8RsV4N_S3B0UGkXuKfyAE6QAo61Ew1t5xKpXbLhoCRS4qz0-GcaRigTP9FfyTGmIE5kJfdh9hveSjZYSTJs83pmft_-4k-Pr6baJ3hrZ7KJ4yWaXKAC5B_jg3TgtK60jsjVBUECOb8WiCDPDZqtYINebi3mwDyKtbe)
32. [sadc.int](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFzpvg-ay40tBxVLvdli6Bo53F7ENUhpP_wIQFXoiGl7jauP81Mxe2l0LtqaBzgfXsREXXgePkUS5ICx2Wje3rx9ErBbaBNhFV46L6dwdvaZgfuAPT6jnnTaov8qws7YaI-38A0pT-jJoa8dk5PVrIxx2dTKOSRAT78)
33. [au.int](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQG7BSTImpm2LEBQ6yr-U_5IjWvosLfVbmlY-VIez5gqMoWLxakSI4p6rDPMzoqFQrCENJKiA6v3DFB_RDWZqG0Tt7JVQlEa-mK3Sap1pCAIqkowP-Lt8_SFOU5sY6ewnvdQOVX44NtnMwSLmqBFumYgRY-zPe81FkcNz5CvfC8seY672CZ6MM8vcKNABySBNWw-TZkLvJ_BHok6pKVNTY7d4IMkbv1g)
34. [unido.org](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFJZ6qDHj4c6CCWD9_eOVYOOe-aJBwTdu8QYLp8Mz2TN4YPlX0qX0bAF1N1QIR6ChOJ_YKRrL-VMwU7iev-EoKdCSjNU1MHzgdi5BujqFugn98-lcvW7Lky5EgUPfceGLCaH5AhyKUMvaqDrXIzl2tHNfQKiRmBsQ59jP1ZnN92hW0=)
35. [mdpi.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFbi4ZJ2E_KYVRxva4y1gJzcXSuOEjvaecR9r_sPfbYJdKdfuovgR43aFr-60rLggqH4kZrVs9TySmSpfTo-oav42lOpEhDkdzIKHfODc3ILOrRuDON4qeCOJiLTaxd)
36. [researchgate.net](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFvqwGKQ1_mBBr8fl-zen5YXeWzOCZ8_ViEm4ot3uqqKYBodv7Gkl2Tt-2v3g3ms4GgC6GerbxjZOyJcsMAIhTEyc-8fq08JrRXfApvFnnVeRykE1BDHf9Rk-IagWiQYxeuUsZONgoF4gue2YQYERU7oiaQNASAO6KcTCsQYNRCCWTGzF56zEpPtpddX7Ur0R53a79nQDE-TSz1iCd6sg==)
37. [cambridge.org](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQEHhe4NssCnkMWgkV1_jJzJ4xJ5ZORped1wcL7TW0K_SQOM5Ja2Gu-QxuMvEq5caKXYQ_9Fv8YVy8HpJOSxrRMBP27qTAUINIcaM9jpFNEqwhwMu8Dvs30N9sFTyDoenjFCEFSkh_uBrO9nUZS52i6pNPc2zeBirLxKELpCkDLpSmDDggTTN8brwlFSPRXYic2ueXmEP3FSMG_tgaC3RDXchksQVh-mKJWcBKxxpom8yjIz3BMElFRBtU2NO4HJEjjLjjr0B1XMBuuzyh8vNQY6ZVIG3RgN-zLJzwH4w-NCe9WqaSq-SqwBUbMGxf_msku1Zzxdw5tpSuY8qnySX8XMwiSXxPM=)
38. [preprints.org](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQHFP7poqc3T2Bw1QIs0_QliA-TdhD9p6IUfMMRPu-mp9R3xgmdgC2etvuupU1w3UdCTLsFRFbU4xthv_eq_bNIorko30ykKeJLmTjF2xJ9AlRSme6e8hKeCESf_y-GXBHupowolT98si-H5Qg4hFgIcHw==)
39. [mdpi.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGzBVslzGqdNVG1fmMutkBJPUGOtPiYdpsuezG2GrIsc2NLaQsSJSipbQW0LcsR5LoaOVKxmqvherNgjWeoebLnw99L6afnc2o-vVidop13XsAajgTLKle42uvmuwE=)
40. [swlaw.edu](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQEjm_qIifU9Of_WOCAn5gmtMaLM8_SWFVJtDC6uzqIV3ID7HPY-4DvohegzNffv_eXEcn36ff_rvjHEUke4G_YtV82nFY1VEreYEaBCjrRwaVj3ua-mia5rehCouTmS1KpuXw0ez9V8NihUWWqtkoaU6aAtJy0I7TwcUZRFZJg-SIfXqXPBoB9k__6toy9jZxqtQRVBJ-HlAlOa4L33pu0upmqfyHBBf9fCSMPGHW5_DhWL_Os=)
41. [researchgate.net](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFt42cPfTeC2wplEfZnIsYHrLB8S8spiFSA3zBs2IcU34fouzpn6gJdEKboKrpgHLYwGEfNz7VNQMgqzP_3T-kFWyJB7YPt0Vmqph0cSk_V0_eGOK2pRU7gH6bsgXh9Rh0Ckg6Ue47HAcWpD4h14UTNSpaG-njtX69ZrCm78IKFT7EGqAJ3Z-uOVyz3UiafPRJdBN6WXRvI2Hp17QgeKe--Wex0UjXD4f3_5nOWZOiESxet-3A=)
42. [emerald.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFkS4chChmRyiZ36Fnwi2Q4ofpSjRrmqUnY5YlyQ1yKDGiuKA3c5s_WqKtQfeaWTM1UvWgevwmh6Cj2ASet8Mj87pRVYJvG0--5Uvpe40_FC9tncA7Im9R8zUhyqIE87D_ib5ru41GjLhTidl8Voufql6zNKvzxrzD2qJT2zpGOSDXSTx79Ip_z4Ap4IHr-KinLehzCp-41Ko9KLGPPG-gi8aGrFv5xytEDfVY=)
43. [researchgate.net](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQHfFHh5CuE_xR7oIECGplwPknrBnKMpgvyfgdz9JlF47m_kpebxXTvlL3-GNPpkCZef1gWDy-z9WPtChC22d1ncZB0ENfPXYDTYZ1TAcCMl_r_nEmnilGbgHI2lBpD1iQI-xwygg0yGxigOaHZHbJsCNrSjELQDlAK9snheltIqwu9oPfynzIoV8mtON4jkyEewGzIaqrlLASX6OKIk9d3w_QtcvJAnlK3hGlGaqiVWi3D4EdnFGySV-t-P7g==)
44. [journal-uamd.org](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQHeuBSIVbd6gSqbqwchYE1L6JpNp7pSv_XCv7WqaaJ70Yc2E4aHxJOnT9aDM-6sA1Znk6-QSEtsp1FNRbqjpEZxWRs-8w7DO6H4QTYMNomWFbQ6H_W-oxDQc4SX5RU9ssBMpO46vHFvLZZvZkXXaJe-aLzjqdzBIuUE)
45. [glos.ac.uk](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQG59OuM8WseB6BTh4j0HJnmts9cAFAZy23S0zRz26aP6exWDZBZXUgb9v71LehGgPRC08z1US6gf8viAyCN5YIIocYNBy0euUScCu0AUj9t3bi6Um9KBf-IYYMHFp9GtawYI5DxPDeEqJnVo0P7txY8lo-E-gjdnZFxPcLtKpGGrRuHxM8XjGPaGj3goils29lBgyPMtPgzx7apyc7zZjCr7s4R9ujpp_ROw9dz7I4qVAPrhme3yZ7acSxf4g2K9tDFtFco_-s9W8KK)
46. [researchgate.net](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGOAblMtQ7yDecyzFw2zZjDnrAgbirkcklu8y-KCfHDQrvshxuv-FdlLKohsp7Zus5f3ZD-PsXm0bjyyXi6MbTTxhxAjAzWZqIUKiPlea9a4qAbLq9lwpJxqdbuCiOwNPTi5meFPAWby-UnJJgKQwyyejxnjsH3mAQjxj3DWK_XUg-S7pz-cM2gzXqtyMpTZBvIkBuX_AOvhGNDReRouxSWkILrXmOeINBEbCX5jS1vWMCHLzhU_lugmD6HPIhj1tfBTzDXYPYU6rkhHss03A==)
47. [lu.se](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFfs-EKZKh-LCNmCWuynynEKpKYx-xOSlb3JBWgLHqEdoCCpXI332cf77mK5L_Wi2i3g7gogjBgzCdUFWCqp5aDt4JADUU1Lg-MwMZmU0kaZ4g0m_1e9RbRL1mrGAPO9m72AhMYtGIqfessH4liTpO1TrQLohqfstzi)
48. [lectra.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQHLXXf3wMNsh6MNDRjimmKdbSgvXTr6FNvnYMHS-O5uD9eEevL3gHmFH_u2ff93BUeAbdx5hjXV7czZ6G6EyQOPJlGWLqYgu8gkob9AI-FC8p1-J31SDi_Gvn3HBP_peIwFQRJD32XPzMtaYDXMTrGvMeYbdH2ATOj5W5tRMep6c-xkt0UreEPb-eE-f1nQoV2Ian-_mcFDZlIRNiPLanDVhu7EOJD-JeL38cQ=)
49. [copernicus.org](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFWWTRN-GuMpOfATkAEvBf8AzZQqzu5Y_aIyMAze6LDQiIhIh27IBCuaKjYcoD9ChEhXBo1XuEYovOtlYbZFupNiZNCrfWpGWZuSlX1BL4ycOGM3y7A0aHiFVO5KJ0XZGSGE3ldiedQi3Nemc9jXLoVEtcFv5Zv)
50. [researchgate.net](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQF1CVpHpuLIDWvpd-UdzXdukWUNY8eXvG168KS4li1ATr6dMsq6-sb6EoRYld1_mxLFL06xHqqDXtOc_FKJGHSfLjUe06_kb0xaA9JK3Po9RnOlzu3185mF9fvtRFFMGT5UqDwTgvCwYpAe3er6eluWAWVqzGasyl5Vlb5z_n9Zi2vjM83Dtf31sYsN)
51. [mdpi.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQEHugUSq7QzJzoyOth5DvMiBplWp7ac9LAoukv0KiPE-MI0KQ2xzQVWXjwimr9LGsC0BJeJV_Rd03nccMxpVDD6g_tP-nFBKdgz6-STr0QZT6fHJmovDNu312Dil-I=)
52. [diva-portal.org](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFgjYUtYSjvnpgxofq05mZLCSsJeE8pkk5FRJY7Z74y1gXdKsd6WPN6zOFgY4Lf7pCxSac4Sjb9Grqa0UZpkOvKcUiknmz9YaZSE-K2YbWUI5ZoiDn5-QoGCxC66z-312FyLC8nYiuiWIq_RZ8ACJ-eqshvRL4Ndw==)
53. [eai.eu](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQEeuGM6KpCpT3u5bSEPRzAXq2H9ilT1aE2zMUFuQ0VYsvwrF67p2-ynLvPLJEl6VwC8fGls7IYbCHpsTihD-dASRM4WnAvUWjqqtRQwluo_8wdLJmrzwoI1iuFn1jlXBwCNDQBhb6sa6eUqpZ2zUXuumJZawNwvTkuAidzVW8U746ScMglof1O1_UY=)
54. [vse.cz](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQE-5aRGdo6-pnJhvPr-ixhOGdCgSSmA5b4ikrFnXnMc-FmMwhWM4kHnejQsYATwnifWc2XBE0iXR4FcgVkD_v9u3i4Xejsgo9SheVQd2mJYaEpafynQ3orpltDPRjtk3fb64M-gl3_LTRMqbTi9AS7Ca4MC614h4Dd3MJ5eghJD8upZxbRsqg3H49qrGc8x)
55. [emerald.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQHp75lpd20pyHDgrb34sjLqbae4zgyT4nQznvkrAvTzDPf-wbbALZ1QJqu0PA_sIkLVTsFHwYhd_HPvb4g1la6bWOjyJJo_Kz9wnyvz1loyLFFIjoCp6dDWo4uVGWXZ_NM6Ff4s6TTwkMy84xt8hRPvWJ6t0Kn8u7qwrC_YbCInlh_Yiq4IqJsdkZyEYEzbi2_VawtYM7QlHdXy)
56. [mdpi.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQHbrQJQASZDoZifXnE-ukfIUfA6GdJuV5sYpMIdbjMwNxsDNeeHreEFq1w17yEVDxAIvv53IOjKPipQLwBxvQ0px6Md2lggRqgLhqI5o8re83aoixzOj2UG6P2u4ls=)
57. [dergipark.org.tr](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGUupVv0I_hvQOEcMUxwqydxZKRlg_RrhjwxhTAjgpCNBs088oLnJb87UWOluHyyuk4cpGZ2rgdRZ7kGuuMtZlV4c4G9gICfJ206CJBgdQwR3u9ka3mshUnyZoP2DY7Jq2uQ7pLroyUFhQq2IT6sA==)
58. [nih.gov](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQESAddrYJFf_YZ3HRSPgHbrhQUOXTOVcl64mz9oLOpejvCxGzb2uQVzIB2440fHfpoziZOH_Oojj2pQMZHl7yxkURn1CHR1ancYnvbMHpLBRLPPOpJ_lYZo0A2XvNBhSiqvV9Bam78L)
59. [researchgate.net](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQEKrbgQ_TaeRjf1w7NKlXchEA-g5RU3C9b5bwTTYJbLDcZ_CoGNTalIvBFCEK6SrG1EDJEvmBj9_BCLNj_c6iwWUOEdYdN-3yfWplHGSOZssWya5s-MP5Y6Bq3z100W8hMs5IsVPMn1AZFQE5bF4LRppaSARq0LzSqpH-_6JESUwo-r0ugBqODlONaVXSqG2ElafC5sHl5KzKxIDds39ugSB5MRMmk7urfYcGaEQZdrF5bhA-unFyKd)