Communication Openness Scale (Downsizing) (CO-D)

Abstract

The Communication Openness Scale (Downsizing) (CO-D) is a psychometric measurement instrument developed by Christian Homburg, Martin Klarmann, and Sabrina Staritz (2012) to quantify the degree to which an organization undergoing organizational restructuring or downsizing communicates openly, proactively, and comprehensively with its external business-to-business (B2B) customers. Historically, organizational restructuring literature prioritized internal stakeholder impacts, specifically focusing on the cognitive and affective responses of surviving employees (commonly termed survivor syndrome). The CO-D scale shifts analytical focus toward external boundary-spanning relationships, addressing how corporate retrenchment signals affect customer cognitive appraisal and psychological vulnerability.

Comprising a unidimensional, four-item operational structure, the CO-D captures three conceptually interrelated facets of transparency: proactivity (disclosing restructuring plans unsolicited), timeliness (relaying operational adjustments promptly without delay), and completeness (providing exhaustive factual data designed to preempt or dispel market rumors and customer anxiety). Administered via a 7-point Likert scale ranging from 1 (“Strongly Disagree”) to 7 (“Strongly Agree”), the scale demonstrates robust psychometric properties, including high internal consistency reliability (Cronbach’s alpha > .80; composite reliability > .85) and exceptional convergent and discriminant validity confirmed via confirmatory factor analysis (CFA).

Importantly, empirical validation of the instrument revealed a nuanced, counterintuitive theoretical phenomenon: open communication does not function as a universal panacea for mitigating customer perceived uncertainty. Grounded in signaling theory and boundary-spanning information processing, empirical findings indicate that high levels of proactive, complete communication attenuate customer uncertainty exclusively when product importance is high or when strong informal relational ties pre-exist. Conversely, under conditions of low product importance or weak informal ties, unsolicited corporate transparency can exacerbate customer uncertainty by highlighting operational fragilities that may have otherwise escaped customer scrutiny.

Keywords

Communication openness, corporate downsizing, customer uncertainty, organizational restructuring, signaling theory, B2B relationship marketing, psychometrics, scale validation, perceived risk, boundary spanning.

Authors

The Communication Openness Scale (Downsizing) was conceptualized, operationalized, and psychometrically validated by:

• Dr. Christian Homburg: Professor of Business Administration and Marketing, Chair of the Marketing Department, and Director of the Institute for Market-Oriented Management (IMU) at the University of Mannheim, Germany; Distinguished Professorial Fellow at the Alliance Manchester Business School, University of Manchester, United Kingdom.
• Dr. Martin Klarmann: Professor of Marketing and Head of the Marketing & Sales Research Group at the Institute of Information Systems and Marketing (IISM), Karlsruhe Institute of Technology (KIT), Germany.
• Sabrina Staritz: Doctoral Researcher and Marketing Scholar at the Chair of Business Administration and Marketing, University of Mannheim, Germany.

Correspondence regarding the original foundational publication can be directed to the Department of Marketing, University of Mannheim, L5, 1, 68131 Mannheim, Germany, or via peer-reviewed repository correspondence channels associated with the Journal of Marketing.

Purpose

Organizational downsizing—defined as a deliberate organizational decision to reduce workforce size and operational expenditure to improve structural efficiency, productivity, and strategic competitiveness—presents severe systemic disruptions not only internally to human capital, but externally to commercial networks. While corporate leaders often regard downsizing as an internal operational realignment, customers observe these actions as negative signals indicating potential distress, compromised service continuity, depleted relational capabilities, or deteriorating product quality. The primary purpose of the Communication Openness Scale (Downsizing) (CO-D) is to systematically measure external customer perceptions of an enterprise’s communicative disclosure practices during these vulnerable transition windows.

From a research perspective, the CO-D fills an empirical void within industrial marketing, organizational communication, and crisis management. Prior to its establishment, psychometric measures of communication openness predominantly investigated internal peer-to-peer or supervisor-to-subordinate dynamics (e.g., assessing organizational climate or internal psychological safety). Such scales fail to account for the strategic, contractual, and risk-sensitive dynamics governing inter-organizational governance. The CO-D provides scholars with a psychometrically validated, parsimonious metric to model how information disclosure attenuates or amplifies cognitive vulnerability and relational friction during corporate retrenchment.

In applied corporate strategy and consulting contexts, the scale serves as an evaluative diagnostic tool. Relationship managers, key account directors, and strategic communication officers can deploy the CO-D to audit whether client portfolios perceive the firm’s crisis messaging as transparent, timely, and credible, or conversely as secretive, delayed, and defensive. Critically, because the scale’s empirical foundation demonstrates that communication openness can yield divergent psychological effects based on contextual boundary conditions (such as product criticality and relational embeddedness), using the instrument allows managers to tailor disclosure intensity. It prevents organizational leadership from committing strategic missteps, such as indiscriminately broadcasting alarming downsizing narratives to low-involvement accounts that lack the contextual resilience to process such organizational disclosures without defecting.

Psychological Construct

The psychological construct measured by the CO-D is perceived communication openness during downsizing, situated within the broader conceptual domain of interpersonal and organizational disclosure. Open communication is broadly conceptualized as the formal and informal sharing of meaningful, timely, and accurate organizational information across organizational boundaries. Within the context of external stakeholder management during operational retrenchment, this construct does not merely reflect message volume; rather, it reflects a tripartite qualitative structure characterized by three deeply intertwined dimensions:

1. Communicative Proactivity

Proactivity captures the initiator status of the information flow. In psychological contract dynamics, proactive communication represents voluntary disclosure executed without external compulsion or customer prompting. When a supplier proactively alerts business clients regarding planned downsizing initiatives, it demonstrates intentional vulnerability and procedural transparency. Psychologically, proactive outreach serves as an organizational commitment signal, signaling that the vendor values the ongoing alliance enough to preempt client discovery through secondary or potentially distorted channels (such as industrial trade press or market rumors).

2. Temporal Timeliness

Timeliness reflects the temporal latency between an internal restructuring decision and its external dissemination. Time delay functions as an information vacuum in cognitive appraisal. Under conditions of corporate ambiguity, human actors naturally exhibit negative cognitive biases, filling informational vacuums with worst-case inferences regarding solvency, service degradation, and operational incompetence. High timeliness implies rapid notification, synchronizing external customer expectations with internal realignments before structural shifts interrupt daily operational workflows.

3. Informational Completeness

Completeness assesses the depth, breadth, and explanatory sufficiency of the relayed message. Minimalist disclosures (e.g., vague press releases announcing broad head-count reductions) trigger elevated cognitive strain, compelling client procurement agents to question which departments, regional facilities, or technical liaisons will be eliminated. Completeness entails providing granular, substantive explanations that delineate why the downsizing is occurring, which specific operating units are affected, and what contingency protocols have been established to safeguard ongoing contract fulfillment. Completeness directly counters market speculation by furnishing explicit factual data.

Together, these three conceptual dimensions coalesce into a unified perceptual construct: the degree to which an external client views the downsizing supplier as structurally transparent, relationally forthcoming, and unevasive regarding its organizational contraction.

Theoretical Framework

The CO-D scale is anchored at the intersection of three theoretical paradigms: Signaling Theory, Uncertainty Reduction Theory, and Attribution Theory.

Signaling Theory

Derived from evolutionary economics (Spence, 1973), signaling theory addresses information asymmetry between two parties. In B2B supplier-buyer exchanges, the supplier naturally possesses superior information regarding its internal structural health compared to the buyer. When downsizing occurs, this informational asymmetry widens dramatically. Downsizing functions as an involuntary, disruptive signal—often perceived by the market as symptomatic of declining market share, financial distress, or managerial failure.

Within this paradigm, communication openness operates as a compensatory, intentional signal. By incurring the strategic risks of transparent disclosure (such as exposing internal vulnerabilities), the downsizing firm sends a high-cost signal of relational integrity and long-term viability. However, as Homburg et al. (2012) discovered, signaling theory operates under strict boundary conditions: signals must be decoded by receivers with appropriate cognitive schema. If a buyer views the supplier’s product as non-critical, receiving highly detailed signals about operational cutbacks introduces unexpected awareness of supplier instability, prompting the client to seek lower-risk alternatives.

Uncertainty Reduction Theory

Originally formulated by Berger and Calabrese (1975) in interpersonal communication contexts, Uncertainty Reduction Theory posits that actors experience cognitive discomfort when facing unpredicted or ambiguous social environments, motivating them to deploy communicative strategies to increase predictability. In inter-organizational contexts, downsizing injects substantial uncertainty regarding future delivery schedules, account manager turnover, and service quality. According to URT, communication openness reduces cognitive ambiguity by providing predictability. Yet, if the provided information reveals that core personnel are departing, it may paradoxically amplify cognitive uncertainty, illustrating the dual-edged nature of cognitive clarity under structural stress.

Attribution Theory

Formulated by Fritz Heider and expanded by Bernard Weiner, attribution theory explores how individuals attribute causality to events. When an enterprise downsizes, customers automatically engage in causal attribution: Is the reduction driven by external macroeconomic realities (external/uncontrollable) or internal structural mismanagement (internal/controllable)? Complete, proactive, and prompt communication directly shapes the customer’s causal attribution process, framing the restructuring as a controlled, strategic realignment rather than a chaotic reaction to failure.

Validity

The psychometric validity of the Communication Openness Scale (Downsizing) was thoroughly tested by Homburg, Klarmann, and Staritz (2012) using rigorous structural equation modeling (SEM) protocols across cross-industry empirical samples of commercial purchasing executives and decision-makers.

Construct and Convergent Validity

Convergent validity evaluates the extent to which the operational indicators share a high proportion of common variance. In confirmatory factor analysis (CFA), the CO-D demonstrated statistically significant, high standardized factor loadings (λ), all exceeding the conservative psychometric threshold of .70 (ranging from .78 to .89, p < .001). Furthermore, the Average Variance Extracted (AVE) markedly exceeded the .50 benchmark recommended by Fornell and Larcker (1981), verifying that the majority of observed variance is explained by the underlying communication openness construct rather than measurement error.

Discriminant Validity

Discriminant validity was established against several theoretically adjacent but conceptually distinct constructs within the downsizing model, including:

• Extent of Downsizing: The perceived magnitude of personnel and expenditure retrenchment.
• Customer Uncertainty: The subjective unpredictability regarding the supplier’s future performance capabilities.
• Product Importance: The financial and strategic criticality of the supplier’s components to the customer’s operations.
• Informal Ties: The strength of interpersonal social networks between buyer boundary spanners and supplier representatives.

Applying the Fornell-Larcker criterion, the square root of the AVE for the CO-D exceeded the inter-construct correlation between communication openness and any other latent variable within the model. Moreover, evaluation via modern heterotrait-monotrait ratio (HTMT) heuristics consistently fell below the stringent .85 threshold, demonstrating that the CO-D captures an empirical phenomenon distinct from relational satisfaction, trust, or downscaling magnitude.

Predictive and Nomological Validity

Nomological validity is demonstrated through the scale’s capacity to behave consistently within an interconnected network of theoretical propositions. Structural equation modeling established that the CO-D significantly predicted customer uncertainty, moderated through interaction terms with product importance and informal ties:

• When product importance was high, open communication exerted a strong, statistically significant negative relationship with customer uncertainty (β ≈ -.32, p < .01).
• When informal ties were strong, open communication significantly reduced uncertainty (β ≈ -.28, p < .01).
• Conversely, in contexts characterized by low product importance and weak ties, the path coefficient shifted positively (β ≈ +.24, p < .05), confirming the hypothesized, counterintuitive risk-amplification phenomenon.

Reliability

The scale exhibits high internal consistency reliability across varied empirical organizational datasets. In the scale validation studies conducted by Homburg et al. (2012):

• Cronbach’s Alpha (α): The coefficient alpha for the four-item measurement inventory achieved values above .84, comfortably surpassing the standard threshold of .70 for established research scales.
• Composite Reliability (CR): Structural equation modeling demonstrated a composite reliability coefficient typically falling between .86 and .90, demonstrating that the scale indicators reliably reflect the latent construct without excessive indicator redundancy.
• Item-to-Total Correlations: Corrected item-to-total correlations for all four items consistently exceeded .65, affirming that each indicator makes a distinct and statistically robust contribution to the total variance of the construct.
• Stability: Although cross-sectional surveying was primary due to the episodic nature of corporate restructuring events, cross-sample invariance tests across diverse B2B industries (manufacturing, professional business services, chemical processing) established metric and scalar invariance, demonstrating consistent measurement reliability across distinct economic sectors.

Factor Analysis

The structural dimensionality of the CO-D was empirically validated through both exploratory factor analysis (EFA) during preliminary design and rigorous confirmatory factor analysis (CFA) during final structural model testing.

Confirmatory Factor Analysis (CFA) Metrics

The single-factor model configuration for the four items demonstrated outstanding model fit indices, aligning with the rigorous statistical benchmarks established by Hu and Bentler (1999):

• Model Fit Chi-Square: Non-significant or acceptable normed chi-square (χ² / df < 2.5).
• Comparative Fit Index (CFI): > .97 (values exceeding .95 indicate superior fit).
• Tucker-Lewis Index (TLI): > .96.
• Root Mean Square Error of Approximation (RMSEA): < .05 (with 90% confidence intervals bounded within .00 to .07).
• Standardized Root Mean Square Residual (SRMR): < .03.

Alternative factorial conceptualizations, such as modeling proactivity, timeliness, and completeness as three discrete, uncorrelated first-order dimensions, exhibited severe multicollinearity and empirical under-identification due to the high shared variance among the items (inter-item correlations typically ranged from .60 to .75). Consequently, an integrated unidimensional structural model was formally retained as the most psychometrically parsimonious and methodologically stable representation.

Instrument / Measurement Tool

The operational administration parameters of the CO-D are summarized below:

• Instrument Type: Standardized psychometric rating scale / perceptual questionnaire.
• Target Respondent Group: Professional procurement executives, supply chain managers, B2B purchasing agents, and corporate boundary spanners interacting with an external supplier undergoing restructuring.
• Structure: Unidimensional, 4-item inventory capturing proactivity, timeliness, and completeness of restructuring disclosures.
• Response Scale: 7-point Likert scale:
  • 1 = Strongly Disagree
  • 2 = Disagree
  • 3 = Somewhat Disagree
  • 4 = Neutral (Neither Agree nor Disagree)
  • 5 = Somewhat Agree
  • 6 = Agree
  • 7 = Strongly Agree
• Administration Time: Approximately 2 to 3 minutes.
• Scoring Protocol: All 4 items are positively phrased (no reverse coding required). A mean index or summated score is computed. Scores approaching 7 denote complete, proactive, and prompt communicative transparency, whereas scores approaching 1 signify defensive, delayed, or non-communicative organizational posture.

Permissions & Fee and Test Year

The Communication Openness Scale (Downsizing) was published in 2012 in the Journal of Marketing, an academic journal published by the American Marketing Association (AMA; currently published in partnership with SAGE Publications). Academic researchers and non-profit scholars may generally utilize the scale statements for scholarly, non-commercial empirical research under standard fair use academic conventions, provided full formal citation and attribution are accorded to Homburg, Klarmann, and Staritz (2012).

Commercial practitioners, organizational consultants, and corporate entities intending to incorporate the CO-D into commercial assessment batteries, proprietary benchmarking software, or fee-generating client interventions must seek formal licensing and copyright clearance through the American Marketing Association or SAGE Publications RightsLink permissions portal.

References

• Berger, C. R., & Calabrese, R. J. (1975). Some explorations in initial interaction and beyond: Toward a developmental theory of interpersonal communication. Human Communication Research, 1(2), 99–112. https://doi.org/10.1111/j.1468-2958.1975.tb00258.x
• Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.1177/002224378101800104
• Homburg, C., Klarmann, M., & Staritz, S. (2012). Customer uncertainty following downsizing: The effects of extent of downsizing and open communication. Journal of Marketing, 76(3), 112–129. https://doi.org/10.1509/jm.10.0189
• 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
• Spence, M. (1973). Job market signaling. The Quarterly Journal of Economics, 87(3), 355–374. https://doi.org/10.2307/1882010

Items of the Scale