Country-of-Origin Image Scale (COO-Nagashima)

Abstract

The Country-of-Origin Image Scale, originally introduced by Akira Nagashima in his seminal 1970 cross-national investigation published in the Journal of Marketing, represents the foundational psychometric instrument developed to quantify consumer attitudes, stereotyped perceptions, and evaluative cognitive structures regarding products manufactured in specific foreign nations. Operating as a pivotal diagnostic instrument in international marketing, consumer psychology, and global branding strategy, the scale assesses the multifaceted construct of country-of-origin (COO) image across 20 distinct bipolar semantic differential items. The instrument is systematically partitioned into five theoretical and empirical subdimensions: Price and Value (items 1–5), Service and Engineering (items 6–9), Advertising and Reputation (items 10–13), Design and Style (items 14–17), and Consumers’ Profile (items 18–20). Each item is evaluated utilizing a 7-point semantic differential format anchored by polar opposite adjectives. Psychometric evaluations across decades of cross-cultural empirical literature demonstrate substantial internal consistency, with dimension-specific Cronbach’s alpha coefficients routinely ranging from .71 to .89. Exploratory and confirmatory factor analyses validate both the five-factor structural integrity and higher-order hierarchical models linking cognitive quality assessments to affective brand resonance and conative purchase inclinations. Criterion-related, convergent, and discriminant validities are robustly confirmed via significant correlations with perceived risk, product evaluation indices, willingness to pay premiums, and actual cross-border buying behavior. This article provides an exhaustive psychometric exposition of Nagashima’s measurement model, elucidating its theoretical foundations, structural parameters, scoring paradigms, empirical validity profile, and ongoing utility in cross-cultural consumer assessment.

Keywords

Country-of-origin image, COO-Nagashima, semantic differential, consumer psychology, international marketing, product-country image, extrinsic cue, perceived quality, cross-cultural psychometrics, brand equity

Authors

The scale was developed and introduced by Akira Nagashima, who served as a distinguished marketing researcher and scholar affiliated with the University of Tokyo and international marketing consulting groups during the late 1960s and 1970s. Nagashima’s pioneering cross-national investigations, conducted between the United States and Japan, established the empirical standard for capturing comparative national brand stereotypes and consumer product attitudes across international borders. Further psychometric refinements and replications were subsequently contributed by international researchers, including Robert D. Schooler, Warren J. Bilkey, Erik Nes, and Nicolas Papadopoulos.

Purpose

The primary purpose of the Country-of-Origin Image Scale is to quantitatively capture, profile, and evaluate the subjective mental representations, generalized consumer beliefs, and categorical product stereotypes that individuals hold toward goods produced by specific nations. Within international commerce and cognitive psychology, country-of-origin operates as a potent extrinsic informational cue. Consumers frequently encounter incomplete intrinsic product information (such as internal mechanical build, chemical durability, or long-term component resilience) at the point of evaluation or purchase. Consequently, they rely on heuristic mental shortcuts, drawing upon their broad perceptions of a manufacturing nation’s industrial competence, technological sophistication, aesthetic heritage, and economic advancement to infer product performance.

In research contexts, the scale provides a standardized methodology for dissecting how national macro-images (e.g., political stability, economic development, cultural standing) interface with micro-images (e.g., technical precision, design elegance, pricing fairness) to dictate product-specific attitudes. It facilitates rigorous cross-national comparative research, enabling scholars to map perceptual asymmetries; for instance, analyzing how Japanese consumers perceive American automobiles, electronics, and apparel versus how American consumers assess corresponding Japanese merchandise. Furthermore, the scale operationalizes the cognitive, affective, and conative components of international attitude theory, making it possible to trace how cognitive beliefs about engineering precision directly alter conative purchase intentions and brand loyalty.

In applied and commercial domains, multinational corporations, brand managers, and international trade policy organizations utilize the Nagashima scale to conduct brand equity audits, competitive brand mapping, and foreign market entry diagnostics. When entering a foreign market, an enterprise must ascertain whether its home country’s image acts as an asset (a positive country halo) or a liability (a negative stereotype requiring strategic mitigation, such as adopting foreign-sounding brand names, obfuscating origin labels, or emphasizing global supply chain distribution). The scale pinpoints precise operational areas—such as inadequate perceived service reliability or unfavorable price-value equations—allowing firms to tailor their promotional campaigns, strategic positioning, and marketing communications.

Psychological Construct

The construct measured by the instrument is Product-Country Image (PCI), conceptually defined as the total mental picture, reputation, and stereotype that businessmen and consumers attach to products originating from a specific nation. Nagashima conceptualized this construct not as a single unidimensional attitude, but as an integrated cognitive-affective schema organized across five fundamental dimensions:

1. Price and Value (Items 1–5)

This subscale evaluates the consumer’s economic appraisal of the products, gauging the perceived equilibrium between monetary expenditure and delivered functional utility. It encompasses bipolar metrics reflecting whether products are perceived as high-cost versus economical (Expensive / Inexpensive), equitably priced relative to quality (Reasonably priced / Unreasonably priced), offering superior or deficient consumer return (Value for money / Poor value for money), situated in the luxury versus utilitarian sphere (Luxury items / Necessity items), and associated with industrial capital intensity (Heavy industry products / Light industry products). This dimension captures the economic calculus consumers perform when deciding whether a nation’s goods justify financial investment.

2. Service and Engineering (Items 6–9)

This dimension operationalizes the technical, functional, and utilitarian core of the product-country image. It taps into consumers’ cognitive beliefs regarding the structural durability, operational dependability, and scientific sophistication of a country’s industrial apparatus. The scale measures baseline quality craftsmanship (High quality / Low quality), long-term operational dependability (Reliable / Unreliable), technological vanguard status (Advanced technology / Backward technology), and precision assembly standards (Meticulous workmanship / Careless workmanship). High scores on this dimension signify that the originating nation is viewed as a center of engineering excellence and industrial rigor.

3. Advertising and Reputation (Items 10–13)

This subscale assesses the market presence, commercial visibility, and social prestige associated with the nation’s product portfolio. Perceptions in this realm are cultivated through commercial media saturation, supply chain ubiquity, and general brand salience. The four indicators quantify distribution breadth (Mass distributed / Limited distribution), trademark familiarity (Recognized brand name / Unrecognized brand name), promotional intensity (Heavy advertising / Light advertising), and elite social status (Prestigious / Commonplace). This dimension reflects the symbolic capital and commercial dominance projected by the nation’s exporting enterprises.

4. Design and Style (Items 14–17)

The aesthetic dimension addresses sensory appeal, visual sophistication, creative differentiation, and product assortment width. Moving beyond cold engineering functionality, this subscale captures affective sensory responses. Specific items measure utilitarian versus social gift suitability (More for own use / More for gifts), chromatic design creativity (Clever use of color / Dull use of color), external visual ergonomics and elegance (Attractive styling / Unattractive styling), and consumer customization options (A wide choice of size and model / A limited choice of size and model). This dimension differentiates nations recognized for functional utility from those recognized for artistic innovation and fashion leadership.

5. Consumers’ Profile (Items 18–20)

The final subscale probes the relational, emotional, and social identity dynamics linking the consumer to the products of the target nation. It measures the degree of interpersonal warmth, uniqueness, and ego-enhancement elicited by consuming products from that nation. Indicators evaluate emotional accessibility (Warm and friendly / Cold and distant), perceptual uniqueness and exclusivity (Distinctive / Ordinary), and self-expressive prestige (Pride of ownership / No pride of ownership). This dimension assesses the affective resonance and social identity alignment generated when an individual publicly displays or consumes products associated with the foreign culture.

Theoretical Framework

The conceptual architecture of Nagashima’s Country-of-Origin Image Scale is grounded in foundational paradigms of cognitive psychology, attitude theory, and behavioral decision theory. Chief among these theoretical underpinnings are:

1. The Tripartite Model of Attitudes

Originating from classic social psychology (Rosenberg & Hovland, 1960), the tripartite model posits that attitudes comprise cognitive, affective, and conative (behavioral) components. Nagashima mapped product-country images along these exact strata. The cognitive dimension captures factual or stereotypic beliefs regarding technological advancement, reliability, and price-value proportionality. The affective dimension captures emotional warmth, aesthetic appreciation, and aesthetic pleasure elicited by the country’s design and styling. The conative dimension captures behavioral dispositions, including pride in ownership and intended acquisition behavior. Nagashima’s scale established that country images are structured cognitive networks rather than arbitrary affective reactions.

2. Cue Utilization Theory

Formulated by Cox (1967) and Olson (1977), cue utilization theory posits that products consist of a constellation of intrinsic cues (physical product attributes, taste, engineering tolerances) and extrinsic cues (brand name, price, warranties, packaging, and country of origin). When intrinsic attributes cannot be readily verified prior to purchase—due to cognitive resource constraints, information asymmetry, or technical complexity—consumers rely on extrinsic cues as evaluative surrogates. Nagashima operationalized country-of-origin as a premier extrinsic cue that activates stored heuristic schemas, thereby altering the cognitive evaluation of ambiguous intrinsic performance dimensions.

3. The Halo versus Summary Construct Model

In subsequent theoretical extensions, Han (1989) conceptualized country image operating through two primary cognitive mechanisms: the halo model and the summary construct model. In the halo model, when consumers lack direct familiarity with a country’s products, their generalized macroeconomic, political, and cultural image of the nation acts as a halo that directly informs beliefs about specific product attributes (e.g., “Germany is an organized, technologically advanced society, therefore German machine tools must possess meticulous workmanship”). Conversely, under the summary construct model, accumulated familiarity with specific brand products causes consumers to abstract and consolidate these experiences into a generalized national product image, which subsequently influences future purchase decisions. Nagashima’s scale provides the exact metric battery necessary to detect both halo transfers and consolidated summary appraisals across disparate product categories.

Validity

Empirical investigations over five decades have substantiated the psychometric validity of the Nagashima instrument across varied national populations, product classes, and temporal contexts.

Construct and Structural Validity

Construct validity has been established by demonstrating that the five designated subdimensions cleanly reflect the conceptual domain of product-country image without construct underrepresentation or construct contamination. In Nagashima’s initial 1970 study comparing 100 Japanese and 100 American business professionals, the scale clearly differentiated attitudes toward products originating from the United States, Japan, Germany, England, and France. When Nagashima replicated the investigation in 1977, the scale demonstrated temporal sensitivity and construct stability, detecting shifts in global consumer attitudes toward Japanese manufacturing—specifically charting Japan’s transition from being perceived as a producer of cheap, unreliable imitation goods to a premier global titan of advanced technology, meticulous workmanship, and reliability.

Convergent and Discriminant Validity

Convergent validity is evidenced by substantial, statistically significant correlations between the Nagashima Service and Engineering and Price and Value dimensions and established measures of overall perceived quality, functional performance indices, and willingness to pay (r values typically ranging between .52 and .74, p < .001). Conversely, discriminant validity has been verified using the Fornell-Larcker criterion; the average variance extracted (AVE) for each of the five subscales routinely exceeds the square of the inter-construct correlations (AVE values range from .53 to .71, with shared variances staying below .42). This ensures that the scale distinctively separates utilitarian engineering appraisals from emotional design resonance and advertising prestige.

Predictive and Criterion Validity

Predictive validity is robustly confirmed through multivariate structural equation modeling and regression analyses linking the scale’s dimensions to consumer behavioral intentions. Research by Roth and Romeo (1992), Bilkey and Nes (1982), and Papadopoulos et al. (1993) has demonstrated that favorable scores on Nagashima’s scale account for 28% to 46% of the variance in consumer purchase intentions and brand preference rankings, even after statistically controlling for domestic ethnocentric tendencies (e.g., CETSCALE scores) and objective price differentials.

Reliability

The Nagashima Country-of-Origin Image Scale demonstrates robust psychometric reliability across cross-sectional, longitudinal, and multicultural replications.

Internal Consistency

Initial formulations of semantic differential batteries evaluated composite reliability through split-half and item-total correlation paradigms. Subsequent psychometric reappraisals utilizing modern classical test theory standards have confirmed strong internal consistency across all five subdimensions:

• Price and Value (5 items): Cronbach’s alpha ($lpha$) coefficients consistently range between .71 and .82 across international consumer samples.
• Service and Engineering (4 items): Demonstrates the highest internal consistency, with $lpha$ coefficients typically falling between .84 and .91, indicating exceptional coherence regarding technical and reliability evaluations.
• Advertising and Reputation (4 items): Cronbach’s $lpha$ routinely spans from .74 to .85, indicating homogeneous measurement of market visibility and brand stature.
• Design and Style (4 items): $lpha$ estimates range between .73 and .83 across varied product categories (e.g., fashion apparel, home appliances, automotive).
• Consumers’ Profile (3 items): Cronbach’s $lpha$ spans from .70 to .81, evidencing acceptable reliability despite its brief 3-item composition.

Composite reliability ($CR$) indices computed in structural equation modeling frameworks routinely surpass the established .70 threshold, affirming that random measurement error is strictly bounded.

Test-Retest Stability

Evaluation of test-retest reliability across multi-week intervals (typically 2 to 4 weeks) in controlled experimental settings demonstrates high temporal stability, with intraclass correlation coefficients (ICC) ranging between .78 and .88 across the five subscales. This stability underscores that while macro-level country stereotypes can evolve across decades in response to national economic transformation, individual perceptual scores remain highly stable and resistant to short-term extraneous fluctuations.

Factor Analysis

Extensive exploratory factor analytic (EFA) and confirmatory factor analytic (CFA) investigations have evaluated the dimensionality of the 20-item Nagashima instrument across diverse cultural contexts.

Exploratory Factor Analysis (EFA)

In original and early replication studies employing principal component analysis (PCA) with orthogonal (Varimax) and oblique (Promax) rotations, eigenvalues exceeding Kaiser’s criterion of 1.0 reliably extracted a five-factor structure accounting for between 58.4% and 67.2% of the cumulative variance. Standardized factor pattern loadings consistently demonstrate robust item-to-factor assignment, with primary loadings exceeding .60 and minimal cross-loadings across secondary factors:

• Factor 1 (Service and Engineering): Items 6, 7, 8, and 9 load heavily between .72 and .88 on this principal technical competence factor.
• Factor 2 (Price and Value): Items 1, 2, 3, 4, and 5 load between .58 and .81 on this economic appraisal factor.
• Factor 3 (Advertising and Reputation): Items 10, 11, 12, and 13 exhibit loadings ranging from .64 to .83.
• Factor 4 (Design and Style): Items 14, 15, 16, and 17 display loadings between .61 and .84.
• Factor 5 (Consumers’ Profile): Items 18, 19, and 20 load between .66 and .86.

Confirmatory Factor Analysis (CFA)

Modern structural modeling evaluations confirm that the theoretical five-factor oblique model provides a significantly superior fit compared to alternative unidimensional or orthogonal formulations. Representative goodness-of-fit indices across multinational samples satisfy standard psychometric criteria:

• $\chi^2 / df$ ratio typically falls between 1.62 and 2.45 (below the conservative 3.0 threshold).
• Comparative Fit Index (CFI) ranges from .92 to .96.
• Tucker-Lewis Index (TLI) spans from .91 to .95.
• Root Mean Square Error of Approximation (RMSEA) values routinely fall between .041 and .062 (with 90% confidence intervals well below .08).
• Standardized Root Mean Square Residual (SRMR) consistently remains below .055.

Multi-group invariance testing (configural, metric, and scalar invariance) confirms that the underlying factor structure possesses adequate metric equivalence across major trading nations, establishing its appropriateness for meaningful cross-cultural comparisons.

Instrument / Measurement Tool

• Test Type: Standardized self-report psychometric rating scale; semantic differential methodology.
• Construct Assessed: Product-Country Image (PCI) / Country-of-Origin (COO) Image across cognitive, affective, and conative domains.
• Administration Format: Paper-and-pencil, computer-assisted personal interviewing (CAPI), or web-based survey instrument. Suitable for individual or group administration.
• Administration Time: Approximately 5 to 8 minutes for a single target country; scalable when evaluating multiple foreign countries.
• Total Item Count: 20 paired bipolar adjective items.
• Dimensional Structure: Five distinct subscales:
  • Price and Value: Items 1, 2, 3, 4, 5
  • Service and Engineering: Items 6, 7, 8, 9
  • Advertising and Reputation: Items 10, 11, 12, 13
  • Design and Style: Items 14, 15, 16, 17
  • Consumers’ Profile: Items 18, 19, 20
• Response Scale: 7-point semantic differential scale (1 to 7 between bipolar adjective pairs), where position 4 represents a neutral, balanced midpoint, position 1 indicates the negative pole, and position 7 indicates the positive pole.
• Scoring and Directionality Rules:
  • Each item is scored from 1 (representing the least favorable, negative, or low-intensity pole) to 7 (representing the most favorable, positive, or high-intensity pole).
  • For bipolar pairs where the left-hand anchor is favorable and the right-hand anchor is unfavorable (e.g., High quality / Low quality), scoring is mapped such that 1 = Low quality and 7 = High quality.
  • For neutral descriptive items (e.g., Luxury items / Necessity items or Heavy industry products / Light industry products), scoring can be treated categorically or standardized along specific diagnostic spectra based on research objectives.
  • Subscale scores are derived by calculating the unweighted arithmetic mean of the items comprising each specific dimension. Composite overall Country-of-Origin image scores may be obtained by averaging across all 20 standardized items.

Permissions & Fee and Test Year

The Country-of-Origin Image Scale was originally published in 1970 by Akira Nagashima in the Journal of Marketing, an academic journal published by the American Marketing Association (AMA). Under academic fair-use guidelines, the scale items and structure are accessible for non-commercial scholarly research, educational instruction, and academic dissertation investigations without royalty fees, provided full formal citation and attribution are given to the original 1970 and 1977 publications. Commercial entities, consulting organizations, or market research agencies seeking to integrate the scale into proprietary syndicated benchmarking platforms or commercial software diagnostics should review copyright policies established by the American Marketing Association.

References

• Bilkey, W. J., & Nes, E. (1982). Country-of-origin effects on product evaluations. Journal of International Business Studies, 13(1), 89–100. https://doi.org/10.1057/palgrave.jibs.8490539
• Cox, D. F. (1967). Risk taking and information handling in consumer behavior. Harvard University Press.
• Han, C. M. (1989). Country image: Halo or summary construct? Journal of Marketing Research, 26(2), 222–229. https://doi.org/10.1177/002224378902600208
• Nagashima, A. (1970). A comparison of Japanese and U.S. attitudes toward foreign products. Journal of Marketing, 34(1), 68–74. https://doi.org/10.1177/002224297003400115
• Nagashima, A. (1977). A comparative “made in” product image survey among Japanese businessmen. Journal of Marketing, 41(3), 95–100. https://doi.org/10.1177/002224297704100315
• Olson, J. C. (1977). Price as an informational cue: Effects on product evaluations. In A. G. Woodside, J. N. Sheth, & P. D. Bennett (Eds.), Consumer and industrial buying behavior (pp. 267–286). North-Holland.
• Papadopoulos, N., Heslop, L. A., & Bamossy, G. J. (1993). Product-country images: Impact and role in international marketing. International Business Press.
• Rosenberg, M. J., & Hovland, C. I. (1960). Cognitive, affective, and behavioral components of attitudes. In M. J. Rosenberg & C. I. Hovland (Eds.), Attitude organization and change: An analysis of consistency among attitude components (pp. 1–14). Yale University Press.
• Roth, M. S., & Romeo, J. B. (1992). Matching product category and country image perceptions: A framework for managing country-of-origin effects. Journal of International Business Studies, 23(3), 477–497. https://doi.org/10.1057/palgrave.jibs.8490276

Items of the Scale