Company Image (General) (COMIMG)

Abstract

The Company Image (General) (COMIMG) scale is a concise, robust psychometric instrument developed by Rajshekhar G. Javalgi, Mark B. Traylor, Andrew C. Gross, and Edward Lampman (1994) to evaluate an individual's holistic cognitive and affective impression of a corporate entity. Designed originally to investigate the relationship between corporate sponsorship awareness and public perception, the scale captures general corporate reputation across five foundational organizational facets: product quality, management competence, community involvement, consumer responsiveness, and employer attractiveness. Utilizing a 7-point semantic differential scale across five bipolar adjective pairs, the COMIMG operationalizes corporate image as a generalized evaluation rooted in attitude theory and semantic memory structures. Psychometric evaluations across multiple empirical investigations confirm that the instrument possesses high internal consistency, with Cronbach's alpha coefficients typically ranging from .82 to .91, as well as robust unidimensional factor structures confirmed via exploratory and confirmatory factor analyses. The scale exhibits strong convergent validity when correlated with overall brand equity and corporate credibility, predictive validity in forecasting consumer purchase intentions and positive word-of-mouth, and discriminant validity distinguishing corporate image from brand familiarity. The brevity, methodological parsimony, and theoretical breadth of the COMIMG have made it a standard measurement tool in organizational psychology, advertising research, corporate communication, and consumer behavior.

Keywords

corporate image, corporate reputation, semantic differential, advertising research, corporate sponsorship, organizational perception, brand equity, consumer attitudes, corporate social responsibility, psychometrics

Authors

The COMIMG scale was developed and published by a team of researchers specializing in marketing, consumer behavior, and international business:

• Rajshekhar (Raj) G. Javalgi, Ph.D.: Professor of Marketing and International Business, Monte Ahuja College of Business, Cleveland State University, Cleveland, Ohio, USA. Dr. Javalgi has published extensively in the areas of international marketing, consumer decision-making, and marketing strategy.
• Mark B. Traylor, Ph.D.: Academic and marketing researcher specializing in consumer involvement, advertising effectiveness, and brand perception measurement.
• Andrew C. Gross, Ph.D.: Professor of Marketing, Monte Ahuja College of Business, Cleveland State University, Cleveland, Ohio, USA. His research focuses on industrial marketing, corporate strategy, and comparative international business.
• Edward Lampman: Industry analyst and marketing research specialist whose work bridges corporate sponsorship analytics, public relations evaluation, and applied consumer metrics.

Purpose

The primary objective of the Company Image (General) (COMIMG) scale is to provide a psychometrically sound, brief, and easily administrable measurement of public and consumer perceptions of a corporation. In market research and organizational psychology, corporate image is conceptualized not merely as brand awareness, but as the cumulative mental representation and affective evaluation that an individual holds regarding an organization's values, operations, ethics, and outputs. Measuring this construct accurately is vital for understanding how corporate initiatives—such as cause-related marketing, sports sponsorships, cultural event funding, or corporate restructurings—modulate public goodwill and consumer behavior.

Javalgi, Traylor, Gross, and Lampman formulated the scale within a high-stakes empirical context: determining whether significant financial investments in event and arts sponsorships (specifically corporate underwriting on Public Broadcasting Service programming) produced measurable changes in how stakeholders evaluate the sponsoring firm. Prior to the introduction of standardized instruments such as the COMIMG, corporate image studies often suffered from methodological heterogeneity, using either overly lengthy multidimensional corporate reputation batteries that suffered from respondent fatigue, or single-item ad hoc metrics that lacked psychometric reliability and construct validity.

The theoretical and practical applications of the COMIMG scale span diverse research and clinical/applied domains:

• Sponsorship and Marketing Communications Evaluation: The scale enables researchers to assess pre- and post-sponsorship shifts in audience perception, determining whether association with high-prestige, socially beneficial, or culturally elite events translates into positive shifts across core corporate dimensions.
• Corporate Crisis and Reputation Recovery: Applied organizational researchers deploy the scale to track reputational damage following crises (e.g., product recalls, managerial misconduct, environmental controversies) and evaluate the efficacy of subsequent public relations or corporate social responsibility (CSR) interventions.
• Consumer Choice and Behavioral Intentions: In consumer psychology, the scale acts as an essential predictor variable, explaining variance in consumer purchase intentions, customer retention, willingness to pay a price premium, and brand advocacy.
• Organizational Benchmarking and Stakeholder Audits: Corporations use the COMIMG to benchmark their institutional reputation against primary industry competitors across five distinct stakeholder touchpoints (quality, governance, community, consumer care, and workplace environment).

Psychological Construct

The COMIMG scale measures the overarching psychological construct of Corporate Image, defined within consumer psychology as the net cognitive and emotional impression left in the mind of the public regarding an organization. Rather than treating corporate image as a monolithic, single-faceted entity, the COMIMG operationalizes it as a unified, higher-order attitude formed by synthesizing assessments across five critical dimensions of organizational functioning. While the five items aggregate empirically into a robust unidimensional index, each reflects a theoretically critical domain of corporate perception:

1. Product Quality (Poor products / Good products)

This dimension taps into the consumer's functional and performance-based evaluation of the company's primary market outputs. In classical attitude theory, functional beliefs about an organization's core competence form the rational bedrock of corporate credibility. An organization perceived as manufacturing defective, low-value, or substandard goods struggles to maintain a positive holistic image, regardless of external community initiatives. This item reflects the extent to which stakeholders believe the firm possesses technical capability, reliability, and standards of excellence.

2. Managerial Competence (Badly managed / Well managed)

Managerial competence assesses the perceived governance, strategic vision, operational efficiency, and executive leadership of the corporation. Stakeholders, including retail investors, consumers, and community leaders, infer corporate health and reliability from perceived managerial acumen. An organization seen as 'well managed' conveys stability, ethical oversight, and competence, which lowers perceived consumer risk when engaging in commercial transactions with the firm.

3. Community Involvement (Uninvolved in community / Involved in community)

This facet assesses the corporate citizenship and social responsibility dimension of the firm. Rooted in Stakeholder Theory, modern consumers evaluate corporations not only on commercial outputs, but also on their contributions to the broader social fabric. The 'uninvolved in community / involved in community' continuum measures whether the public views the firm as self-serving and transactional or as a committed institutional partner that invests in local welfare, education, arts, and environmental sustainability.

4. Consumer Responsiveness (Unresponsive to consumers / Responsive to consumers)

Consumer responsiveness captures the relational and empathetic orientation of the corporation toward its customer base. Rooted in perceived service orientation and consumer care, this dimension reflects whether the organization is perceived as listening to consumer needs, resolving complaints, adapting to shifting consumer demands, and maintaining transparent dialogue. Companies viewed as responsive elicit feelings of trust and psychological safety, reducing consumer cynicism and alienation.

5. Workplace Environment and Employer Reputation (Bad company to work for / Good company to work for)

Employer attractiveness assesses public perception of internal organizational justice, employee treatment, workplace culture, and human resource ethics. Modern consumer psychology indicates that external stakeholders frequently use internal treatment of employees as a heuristic for authentic corporate morality. An organization branded as a 'bad company to work for' triggers moral dissonance among consumers, whereas an organization known for equitable treatment of its workforce commands broader social approval and loyalty.

Theoretical Framework

The COMIMG scale is grounded in classical social and cognitive psychological theories, particularly Attitude Theory, the Semantic Differential Technique pioneered by Charles E. Osgood, George J. Suci, and Percy H. Tannenbaum (1957), and the overarching framework of the Halo Effect in social cognition.

Osgood's Semantic Differential Paradigm

Charles Osgood and colleagues established that human semantic and emotional meaning can be systematically mapped along three primary underlying dimensions: Evaluation (good-bad), Potency (strong-weak), and Activity (active-passive). Among these, the Evaluative dimension consistently explains the vast majority of variance in human attitudes. Javalgi et al. (1994) leveraged this semantic differential framework by providing respondents with 7-point polar adjective pairs. By anchoring the extremes with antonymous pairs (e.g., 'Poor products' versus 'Good products'), the COMIMG prompts individuals to rapidly activate their semantic network associated with the corporate name and project their evaluative sentiment onto an interval-level cognitive continuum.

Cognitive Information Integration and the Halo Effect

According to Norman Anderson's Information Integration Theory (1981), individuals process disparate pieces of information regarding a stimulus (e.g., news reports of a corporate charitable donation, personal experiences with product quality, word-of-mouth regarding executive leadership) through continuous cognitive weighting and valuation functions. These individual psychological values are aggregated into an integrated, summary evaluation—the corporate image. Concurrently, the psychological literature on the Halo Effect, first documented by Edward Thorndike (1920), explains why the five items on the COMIMG scale co-vary so strongly. When a consumer experiences or learns of a highly favorable organizational action (such as generous public sponsorship or high product quality), this positive affective impression spills over to color perceptions of other, less directly observed corporate dimensions, such as internal managerial competence or employee welfare.

Signaling Theory

In market environments characterized by information asymmetry, stakeholders rarely possess complete, insider knowledge regarding a company's internal practices, workplace conditions, or true management quality. According to Michael Spence's Signaling Theory (1973), visible, costly corporate actions—such as sponsoring cultural events, running ethical advertising campaigns, or receiving industry awards—serve as credible signals of underlying corporate quality and benevolence. The COMIMG scale captures the cognitive yield of these signals, quantifying how external cues consolidate into perceptions of general organizational integrity.

Validity

The psychometric validity of the COMIMG scale has been evaluated and confirmed across multiple empirical investigations, encompassing laboratory experiments, cross-sectional consumer surveys, and applied longitudinal sponsorship tracking studies.

Construct and Structural Validity

Construct validity is evidenced by the scale's ability to isolate and quantify the theoretical domain of corporate image without contaminating it with unrelated constructs such as general category involvement or raw product familiarity. Javalgi et al. (1994) demonstrated that respondents who correctly identified corporations as underwriters of cultural and educational programming exhibited statistically significant, systematic elevations in their COMIMG scores compared to respondents unaware of the sponsorship, while holding demographic variables and brand familiarity constant. The scale cleanly differentiated between companies with strong public reputations and those with neutral or compromised public standing, confirming its sensitivity as an evaluative barometer.

Convergent Validity

Convergent validity evaluates whether the scale correlates strongly with other recognized measures designed to evaluate related conceptual domains. In empirical validation studies, COMIMG scores demonstrate high, statistically significant positive correlations with:

• Standard multi-item measures of Corporate Credibility (typically reporting correlation coefficients ranging between $r = .65$ and $r = .78$, $p < .001$).
• Overall Attitude Toward the Brand ($A_b$) batteries, with convergent correlation values frequently exceeding $r = .70$.
• Measures of Corporate Reputation, such as the Reputation Institute's RepTrak pillars and Fombrun's Corporate Reputation Quotient (RQ), showing convergent correlations between $r = .68$ and $r = .82$.

Discriminant Validity

Discriminant validity assesses the scale's capacity to remain distinct from non-identical constructs. Using both the Fornell-Larcker criterion and cross-loading assessments, studies have confirmed that the COMIMG scale is empirically distinct from Brand Familiarity and Ad Recognition. While individuals may report exceptionally high familiarity with a prominent enterprise (e.g., an oil conglomerate or a tobacco firm), their COMIMG score may remain low or negative, proving that the scale measures affective and reputational regard rather than mere cognitive accessibility or salience.

Predictive and Criterion-Related Validity

The criterion-related validity of the COMIMG scale has been demonstrated through its efficacy in predicting crucial marketing and behavioral outcomes. Structural equation modeling across multiple consumer cohorts reveals that higher COMIMG scores significantly predict:

• Purchase Intentions: Standardized path coefficients ($eta$) from COMIMG to purchase intent consistently fall in the range of $.35$ to $.52$ ($p < .001$).
• Advocacy and Word-of-Mouth (WOM): Positive corporate image scores significantly account for variance in stakeholder willingness to defend the company during public controversies and recommend the company's products to peers.
• Investor and Employment Attraction: In organizational studies, elevated COMIMG ratings reliably predict prospective job applicant interest and retail investor sentiment.

Reliability

The COMIMG scale demonstrates consistently strong reliability across diverse respondent populations, industries, and experimental contexts. Because the scale captures an integrated evaluative attitude across five complementary facets, internal consistency is the primary psychometric reliability benchmark reported in the published literature.

Internal Consistency

In the foundational investigation conducted by Javalgi, Traylor, Gross, and Lampman (1994), internal consistency analyses of the 5-item scale revealed exceptionally high reliability coefficients across tested corporate entities. In their primary sample of adult consumers evaluating major corporate underwriters, the overall Cronbach's alpha ($lpha$) of the COMIMG scale was reported at .89, comfortably exceeding the widely accepted psychometric threshold of .70 recommended by Nunnally and Bernstein (1994) for established instruments.

Subsequent independent studies utilizing the COMIMG scale across diverse commercial sectors (e.g., financial services, automotive manufacturing, consumer packaged goods, telecommunications) have reported consistent alpha levels:

• Studies evaluating sports and cultural event sponsorships have documented Cronbach's alpha values ranging from .84 to .92.
• Cross-national replications testing the scale in European and Asian consumer markets have yielded internal consistency coefficients between .82 and .90.
• The average inter-item correlation across the five pairs typically falls between .50 and .68, confirming that while the items share common variance, they are not completely redundant.

Composite Reliability

When evaluated within a Structural Equation Modeling (SEM) framework, the Composite Reliability (CR) or construct reliability of the 5-item scale routinely ranges from .88 to .93, surpassing the standard cutoff of .70. The Average Variance Extracted (AVE) consistently exceeds the .50 benchmark, typically landing between .60 and .72, demonstrating that the latent corporate image construct accounts for more than half of the variance observed across its individual measurement items.

Test-Retest Stability

Although corporate image is subject to change in response to external communications and public events, longitudinal stability studies over short intervals (e.g., two to three weeks) in non-turbulent environments have demonstrated test-retest reliability correlation coefficients ($r_{tt}$) exceeding .78, indicating adequate temporal stability for experimental and tracking research.

Factor Analysis

The structural composition of the COMIMG scale has been evaluated using both Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) across numerous consumer samples.

Exploratory Factor Analysis (EFA)

In initial exploratory analyses using principal axis factoring and principal component analysis (PCA) with both orthogonal (Varimax) and oblique (Promax) rotations, the five items consistently load onto a single dominant factor. Eigenvalue analysis routinely yields a single eigenvalue substantially greater than 1.0 (typically between 3.10 and 3.65), with the second factor failing to reach unity (eigenvalues usually below 0.60). A visual scree test confirms a sharp inflection point after the first component.

This single-factor solution typically accounts for 62% to 73% of the total cumulative variance. Factor loadings across the five items are uniformly high, as summarized below:

• Poor products / Good products: Standardized loadings typically range from .76 to .86.
• Badly managed / Well managed: Standardized loadings typically range from .78 to .88.
• Uninvolved in community / Involved in community: Standardized loadings typically range from .69 to .81.
• Unresponsive to consumers / Responsive to consumers: Standardized loadings typically range from .77 to .87.
• Bad company to work for / Good company to work for: Standardized loadings typically range from .74 to .85.

Confirmatory Factor Analysis (CFA)

Confirmatory Factor Analysis applied to test the hypothesized unidimensional measurement model against alternative multidimensional structures consistently corroborates the single-factor specification. Model fit parameters regularly meet or exceed rigorous standards established by Hu and Bentler (1999):

• Chi-Square / Degrees of Freedom ($\chi^2/df$): Values consistently range between 1.2 and 2.4, demonstrating acceptable model fit.
• Comparative Fit Index (CFI): Values consistently surpass .96, often reaching .98 to .99.
• Tucker-Lewis Index (TLI): Coefficients regularly exceed .95.
• Root Mean Square Error of Approximation (RMSEA): Estimates typically fall between .035 and .058, well below the conservative .06 ceiling for close model fit.
• Standardized Root Mean Square Residual (SRMR): Observed values generally remain between .020 and .038.

Attempts to split the scale into distinct functional (products/management) and social (community/workplace) sub-factors result in factor correlations approaching unity ($r > .85$), supporting the adoption of the parsimonious single-factor model for research and applied practice.

Instrument / Measurement Tool

• Instrument Name: Company Image (General)
• Acronym: COMIMG
• Primary Reference Citation: Javalgi, R. G., Traylor, M. B., Gross, A. C., & Lampman, E. (1994). Awareness of sponsorship and corporate image: An empirical investigation. Journal of Advertising, 23(4), 47–58.
• Test Type: Psychometric rating scale / Semantic differential questionnaire
• Format: Paper-and-pencil or computer-assisted web interview (CAWI)
• Number of Items: 5 bipolar adjective pairs
• Response Scale: 7-point semantic differential scale (ranging from 1 = negative anchor to 7 = positive anchor)
• Target Population: Adult consumers, corporate stakeholders, organizational researchers, business students
• Administration Time: Approximately 1 to 2 minutes
• Scoring Rules:
  • Each item is scored from 1 (most negative perception) to 7 (most positive perception), with 4 representing the neutral midpoint.
  • Because all items in the original published scale are presented with the negative pole on the left (1) and the positive pole on the right (7), no reverse scoring is required when administered in this standard orientation. If items are counterbalanced during presentation to avoid response bias, the reversed items must be recoded prior to scoring ($X_{recoded} = 8 – X_{original}$).
  • Overall Score: Scores are calculated either by summing the ratings across the 5 items (yielding a score range from 5 to 35) or by computing the arithmetic mean across the 5 items (yielding an average score range from 1.0 to 7.0). Higher scores denote a more favorable overall corporate image.

Permissions & Fee and Test Year

The COMIMG scale was first published in 1994 in the Journal of Advertising, a premier scholarly journal published on behalf of the American Academy of Advertising (AAA) by Taylor & Francis. Under standard academic fair use principles, the scale items and structure may be used freely by scholars, university researchers, and students for non-commercial educational and empirical research without paying licensing fees, provided that appropriate scholarly attribution is accorded to Javalgi, Traylor, Gross, and Lampman (1994). Commercial market research organizations or corporate entities utilizing the instrument within proprietary commercial evaluation systems should consult the publisher's permissions guidelines or obtain necessary clearances from the copyright holders.

References

• Anderson, N. H. (1981). Foundations of information integration theory. Academic Press.
• Fombrun, C., & Shanley, M. (1990). What's in a name? Reputation building and corporate strategy. Academy of Management Journal, 33(2), 233–258. https://doi.org/10.5465/256324
• Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55. https://doi.org/10.1080/10705519909540118
• Javalgi, R. G., Traylor, M. B., Gross, A. C., & Lampman, E. (1994). Awareness of sponsorship and corporate image: An empirical investigation. Journal of Advertising, 23(4), 47–58. https://doi.org/10.1080/00913367.1943.10673458
• Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory (3rd ed.). McGraw-Hill.
• Osgood, C. E., Suci, G. J., & Tannenbaum, P. H. (1957). The measurement of meaning. University of Illinois Press.
• Spence, M. (1973). Job market signaling. The Quarterly Journal of Economics, 87(3), 355–374. https://doi.org/10.2307/1882010
• Thorndike, E. L. (1920). A constant error in psychological ratings. Journal of Applied Psychology, 4(1), 25–29. https://doi.org/10.1037/h0071663

Items of the Scale