Customer Participation Formalization (CPF)

1. Abstract

The Customer Participation Formalization (CPF) scale is a psychometric instrument designed to assess the degree to which a customer's involvement, input, and collaborative activities within an organization's service delivery system are governed by explicit, standardized rules, established procedures, and formal guidelines. Developed within the discipline of service marketing and organizational psychology, the scale was adapted by Auh, Menguc, Katsikeas, and Jung (2019) from the foundational inter-organizational governance framework introduced by Fang, Palmatier, and Evans (2008). Operating as a unidimensional, three-item self-report questionnaire, the CPF operationalizes structural coordination mechanisms that dictate how customer contributions—such as information sharing, joint problem solving, and co-design—are monitored, directed, and evaluated by service providers.

The scale employs a standard 7-point Likert response format ranging from 1 (“Strongly Disagree”) to 7 (“Strongly Agree”). Across multiple empirical investigations, including a primary study of 891 retail banking customers in South Korea and a conceptual replication using 291 Amazon Mechanical Turk (MTurk) participants in the United States, the CPF has demonstrated robust psychometric properties. Confirmatory factor analysis (CFA) robustly substantiates the scale's unidimensional factor structure, with factor loadings consistently exceeding conventional thresholds (typically > .80). The instrument exhibits strong convergent validity, reporting Average Variance Extracted (AVE) coefficients between .72 and .78, high internal consistency (composite reliability and Cronbach's alpha coefficients typically above .85), and unequivocal discriminant validity when evaluated against adjacent constructs such as customer empowerment, relational governance, and informal collaboration. The CPF scale provides researchers and service managers with an essential, parsimonious metric to diagnose the procedural architecture of co-production, elucidate the boundary conditions of customer value co-creation, and optimize service efficiency without eroding customer satisfaction.

2. Keywords

Customer Participation Formalization, Service-Dominant Logic, Co-Creation, Governance Mechanisms, Organizational Formalization, Role Theory, Psychometrics, Service Delivery, Structural Coordination, Customer Empowerment

3. Authors

The Customer Participation Formalization (CPF) scale was adapted and validated in its consumer-facing form by a team of prominent scholars in marketing strategy, international business, and organizational behavior:

• Seigyoung Auh: Professor of Marketing at Thunderbird School of Global Management, Arizona State University, Phoenix, Arizona, USA. Research specialties include customer value co-creation, service marketing, front-line employee management, and boundary-spanning interactions.
• Bulent Menguc: Professor of Marketing at Kadir Has University, Istanbul, Turkey; formerly affiliated with King's College London and Penn State University. Renowned for work on sales management, organizational culture, and structural equation modeling.
• Constantine S. Katsikeas: Arnold Ziff Research Chair in Marketing and International Management at Leeds University Business School, University of Leeds, Leeds, United Kingdom. An international authority on global marketing strategy, inter-firm relationships, and quantitative methodological rigor.
• Young Sung Jung: Assistant Professor of Marketing at the College of Business, Korea Aerospace University, Goyang-si, South Korea. Specializes in service operations, customer relationship management, and financial services marketing.

The theoretical and structural progenitor of the scale stems from the pioneering work on business-to-business (B2B) relational governance and collaborative innovation by:

• Eric (Er) Fang: James J. Stukel Presidential Professor of Marketing at the Gies College of Business, University of Illinois at Urbana-Champaign, Champaign, Illinois, USA.
• Robert W. Palmatier: Professor of Marketing and John C. Narver Chair in Business Administration at the Foster School of Business, University of Washington, Seattle, Washington, USA.
• Kenneth R. Evans: President of Lamar University, Beaumont, Texas, USA; previously Professor of Marketing and Dean of the Michael F. Price College of Business at the University of Oklahoma.

4. Purpose

The primary purpose of the Customer Participation Formalization (CPF) scale is to quantify the extent to which organizations structure, codify, and mandate the behaviors, responsibilities, and procedural interfaces of end-users during service provision. In contemporary management and organizational psychology, customers are increasingly recognized not as passive recipients of value, but as active “partial employees” or “co-producers” of service outcomes. This paradigmatic transition—central to Service-Dominant (S-D) Logic—has presented organizations with an acute managerial dilemma: while soliciting customer participation introduces diverse inputs and enhances customization, it also introduces substantial operational variance, ambiguity, and process unpredictability into service blueprints.

To mitigate the risks inherent in customer volatility, organizations implement bureaucratic and administrative control mechanisms known collectively as formalization. Historically, organizational science measured formalization strictly as an internal, intra-firm phenomenon governing employee conduct (Pugh et al., 1968). However, as external customers breach traditional firm boundaries to co-design financial products, troubleshoot technical issues, configure software, or participate in personalized medical care, service systems must impose governance onto these external actors. The CPF scale was engineered precisely to measure this externalized formalization.

In research contexts, the CPF scale serves as a vital explanatory or moderating variable. It allows organizational researchers to investigate the complex boundary conditions governing when customer participation yields positive outcomes (such as customer retention, high operational efficiency, and enhanced firm performance) versus when it induces friction, role overload, and perceived loss of autonomy. When customer participation occurs without formalization, interactions may degenerate into ad-hoc, inconsistent, and error-prone exchanges. Conversely, excessive formalization may stifle innovation, dehumanize the interaction, and frustrate clients seeking flexible service solutions. By quantifying formalization, the CPF enables researchers to test non-linear models, moderation dynamics (such as the buffering role of customer empowerment), and structural alignment theories.

In clinical, educational, and applied managerial settings, the instrument provides an analytical diagnostic for service blueprint audits. Service designers and operations managers deploy the scale to assess whether end-users perceive existing protocols as transparent, structured, and guiding, or alternatively as overly regulatory and restrictive. In healthcare or clinical psychology interventions, where therapeutic adherence often mimics customer co-production, applying the principles captured by the CPF can reveal whether treatment regimens are sufficiently formalized to ensure protocol fidelity without alienating the patient. Ultimately, the CPF scale bridges classical organizational structure theory with contemporary consumer behavior, establishing empirical clarity regarding how rules govern human interaction across the firm's boundary.

5. Psychological Construct

The psychological and behavioral construct captured by the Customer Participation Formalization (CPF) scale is formal governance of the customer role. At its core, the construct reflects the psychological perception and structural reality of codification, standardization, and rule-following imposed upon the consumer during transactional and relational encounters. Rather than evaluating the mere volume or frequency of customer participation (i.e., customer participation intensity), the CPF scale isolates the qualitative architecture governing how that participation transpires.

To fully comprehend the depth of this construct, it must be analyzed across three interrelated psychological and operational dimensions that characterize formalized customer environments:

1. Codification of Expectations and Role Clarity

In unformalized service systems, customers rely on subjective intuition, implicit norms, or reactive front-line employee prompts to navigate their involvement. Under formalized conditions, customer behaviors are explicitly codified in advance. The construct captures the degree to which organizations articulate precise instructions, written protocols, standardized templates, and documented sequences of action. From a cognitive perspective, this aspect of formalization reduces role ambiguity by establishing unambiguous boundaries regarding what the customer is expected to provide (e.g., specific financial documentation, diagnostic background, exact technical parameters) and when such contributions must occur.

2. Rule-Governed Interaction Routines

A central pillar of the CPF construct is the establishment of invariant interaction routines. In a highly formalized setting, the exchange between the client and the firm follows a fixed, pre-specified choreography. Deviations from standard operating procedures are systematically minimized. For instance, in a retail banking environment, formalization dictates that loan consultations follow a standardized risk-assessment intake form, that customer inquiries must be submitted through predefined channels, and that specific verification thresholds must be sequentially satisfied. Psychologically, this formalization shifts the interaction from an emotionally charged, idiosyncratic human exchange toward an institutionalized, dependable procedure. Customers perceive that rules—rather than individual employee discretion—dictate the pace, structure, and criteria of the service encounter.

3. Behavioral Monitoring and Compliance Structures

Finally, the CPF construct reflects the customer's awareness of procedural compliance. In formalized customer co-production, the service recipient understands that their inputs are systematically scrutinized against predetermined operational standards. Incomplete or non-compliant inputs result in process termination or administrative delays (e.g., an automated system rejecting an application due to missing mandatory fields). This dimension establishes a sense of mutual accountability, transforming the customer into an accountable operational participant within the service delivery chain.

The construct differs substantially from related organizational and psychometric concepts. It must not be conflated with centralization (the locus of decision-making authority), customer empowerment (the psychological experience of autonomy, competence, and impact during service), or relational governance (coordination driven by shared trust, mutual adjustments, and interpersonal rapport). While relational governance relies on social capital and unwritten understandings, Customer Participation Formalization relies on explicit, codified administrative mechanisms. The CPF scale cleanly captures this rule-based, objective dimension of service coordination.

6. Theoretical Framework

The Customer Participation Formalization scale is grounded in an interdisciplinary convergence of three major theoretical traditions: Classical Organizational Theory, Role Theory, and Service-Dominant Logic.

Classical Organizational Theory and the Administrative School

The theoretical bedrock of formalization originates in the sociological analysis of bureaucracy pioneered by Max Weber (1947) and operationalized empirically by the Aston Group (Pugh, Hickson, Hinings, & Turner, 1968). Weber posited that formal rules, written records, and specialized jurisdictions represent the most rational, efficient means of coordinating human effort, eliminating subjective bias, and managing organizational complexity. In modern administrative science, formalization has long been defined as the extent to which rules, procedures, instructions, and communications are written down and enforced.

For decades, this theoretical paradigm assumed that formalization applied solely to internal organizational agents (employees and managers). However, the CPF framework extends this foundational theory across the organizational boundary. By applying structural contingency theory, scholars argue that when external actors (customers) cross into the firm's operational boundary to co-produce service outcomes, the firm must deploy organizational structures analogous to internal administrative controls to prevent operational disintegration. The CPF scale represents the direct psychometric operationalization of Weberian formalization transposed onto consumer behavior.

Role Theory and Boundary-Spanning Interactions

The second foundational pillar supporting the scale is Role Theory, as articulated in social psychology and organizational dynamics by Katz and Kahn (1978). Role theory posits that human organizations are essentially systems of interdependent, recurring behaviors centered around socially defined roles. In any collaborative system, participants experience role expectations, role sending, and role compliance.

When customers engage in co-production, they adopt the psychological status of a “boundary-spanning actor” or “partial employee.” According to role theory, individuals entering unfamiliar organizational systems inevitably experience role conflict and role ambiguity unless clear role scripts are provided. Formalization serves as an institutionalized “scripting” mechanism. The CPF scale measures the rigidity and clarity of these role scripts, reflecting the degree to which the firm establishes cognitive boundaries that guide the customer's performance, reduce task-related anxiety, and align personal inputs with corporate expectations.

Service-Dominant Logic and Inter-Organizational Governance

Finally, the scale is conceptually framed by Service-Dominant (S-D) Logic (Vargo & Lusch, 2004) and transaction cost governance (Fang et al., 2008). S-D logic conceptualizes value creation as an inherently collaborative endeavor wherein the consumer is an active integrator of resources. However, resource integration inherently exposes both the consumer and the enterprise to coordination hazards and information asymmetries.

Drawing on Fang et al. (2008), who investigated how governance structures coordinate inter-firm collaborative product development, Auh et al. (2019) adapted these principles to Business-to-Consumer (B2C) exchanges. The theoretical premise underlying the CPF scale is that while customer participation provides the raw resources necessary for customized value creation, formalization acts as the critical structural mechanism that channels those resources into predictable, reproducible, and economically viable operational configurations.

7. Validity

The psychometric validity of the Customer Participation Formalization scale has been rigorously tested through diverse statistical paradigms, confirming its construct, convergent, discriminant, and criterion-related (nomological) validity across distinct cultural and contextual populations.

Construct and Convergent Validity

Construct validity evaluates how effectively an instrument operationalizes its underlying theoretical construct. In the validation studies conducted by Auh et al. (2019), the CPF scale was evaluated using maximum-likelihood Confirmatory Factor Analysis (CFA) across two substantive datasets:

• Primary Retail Banking Sample: Comprising 891 verified retail banking customers interacting across 147 bank branches in South Korea. In this complex, multi-level sample, all three items of the CPF scale loaded strongly and significantly onto the designated latent factor (all standardized loadings > .80, $p < .001$). The Average Variance Extracted (AVE)—which assesses the amount of variance captured by the construct relative to measurement error variance—was reported at .72, easily exceeding the classical psychometric benchmark of .50 established by Fornell and Larcker (1981).
• Replication Sample (Amazon Mechanical Turk): To verify generalizability beyond the Asian retail banking context, a replication study was conducted with 291 US-based consumers evaluating their primary financial service providers. Confirmatory factor analysis within this cohort replicated the robust factor structure, yielding standardized loadings ranging from .82 to .91 and an elevated AVE of .78.

These elevated AVE values confirm that substantially more than 70% of the variance observed in the scale items is directly explained by the latent formalization construct rather than random residual or unique error variance, confirming exceptional convergent validity.

Discriminant Validity

Discriminant validity ensures that the CPF scale measures a unique psychological phenomenon distinct from adjacent organizational and behavioral constructs. Auh et al. (2019) established discriminant validity through rigorous psychometric testing:

• Fornell-Larcker Criterion: In both empirical studies, the square root of the AVE for the CPF construct ($\sqrt{.72} pprox .85$ in Study 1; $\sqrt{.78} pprox .88$ in Study 2) significantly exceeded the bivariate correlation between CPF and every other construct evaluated in the nomological network. These adjacent constructs included Customer Participation Intensity, Customer Empowerment (meaning, competence, self-determination, and impact), Relational Governance, Customer Satisfaction, and Brand Loyalty.
• Chi-Square Difference Testing: Nested model comparisons were executed wherein the correlation between the CPF factor and adjacent latent factors was constrained to unity (1.0). In every instance, the unconstrained model exhibited a statistically superior fit ($\Delta \chi^2$ values were large and significant at $p < .001$), proving empirical distinctiveness.

Nomological and Predictive Validity

Nomological validity was demonstrated by evaluating the CPF scale within structural equation models examining customer co-production dynamics. Auh et al. (2019) hypothesized that the performance effects of customer participation are not uniformly positive, but are fundamentally moderated by the structural governance context. Their empirical findings revealed significant multi-level interaction effects:

• When customer participation intensity was high, customer participation formalization acted as a critical regulatory mechanism that stabilized service expectations, reduced transactional friction, and buffered against service failure.
• Furthermore, the interaction between CPF and customer empowerment demonstrated that formalization does not inherently stifle consumers; when coupled with empowerment, formalized structures provide the procedural scaffolding necessary for customers to deploy their agency with maximum operational impact, significantly driving both customer-level satisfaction and employee-level task performance.

8. Reliability

Reliability refers to the internal consistency, precision, and reproducibility of a psychometric measurement instrument across repeated administrations and within distinct empirical cohorts. The Customer Participation Formalization scale exhibits high reliability across established classical test theory (CTT) and modern structural psychometric metrics.

Internal Consistency Metrics

In accordance with rigorous psychometric standards (Nunnally & Bernstein, 1994), the internal consistency of the three-item CPF scale was evaluated using both Cronbach's alpha ($lpha$) and Composite Reliability ($ ext{CR}$, also termed McDonald's omega or construct reliability):

• Study 1 (Retail Banking Customers, $N = 891$):
  • Cronbach's Alpha ($lpha$): .88
  • Composite Reliability ($ ext{CR}$): .89
  • Both metrics substantially exceed the conventional acceptable threshold of .70 and the stringent research benchmark of .80, indicating tight inter-item correlation and minimal measurement error.
• Study 2 (MTurk Replication Cohort, $N = 291$):
  • Cronbach's Alpha ($lpha$): .91
  • Composite Reliability ($ ext{CR}$): .91
  • These cross-cultural and cross-methodological findings confirm that the scale's internal consistency is not an artifact of a specific organizational setting, industry, or geographic demographic.

Measurement Precision and Error Variance

Because the composite reliability remains above .88 across diverse populations, the standard error of measurement (SEM) associated with the latent factor score is exceptionally low. Item-total correlations across all validation trials routinely exceeded .75, indicating that each individual item contributes substantially to the overall variance captured by the construct, with no evidence of redundant or non-performing indicators. Furthermore, the absence of negative cross-loadings or substantial residual error covariance confirms that the scale satisfies the mathematical requirements for tau-equivalence and congeneric reliability.

9. Factor Analysis

The structural dimensionality of the Customer Participation Formalization scale was determined and validated using comprehensive factor analytic procedures, transitioning from early exploratory frameworks in inter-firm governance (Fang et al., 2008) to rigorous confirmatory factor analyses in consumer-facing environments (Auh et al., 2019).

Confirmatory Factor Analysis (CFA) Specifications

To assess whether the data conformed to the hypothesized single-factor latent structure, covariance matrices were estimated using robust maximum likelihood (MLR) techniques to account for any localized distributional non-normality. In both primary and replication cohorts, the three items were modeled as direct reflective indicators of a single underlying latent factor ($ ext{CPF}$).

Model Fit Indices

In structural equation modeling, assessing model fit requires evaluating a battery of global and incremental fit indices. The measurement models evaluating the CPF scale within its wider nomological network (alongside multi-item scales for customer empowerment, participation intensity, satisfaction, and front-line service behavior) demonstrated exemplary statistical fit:

• Chi-Square / Degrees of Freedom Ratio ($\chi^2/df$): Maintained below the strict conservative threshold of 3.0 (and frequently < 2.0) across all baseline structural tests.
• Comparative Fit Index (CFI): Ranged consistently from .96 to .98, substantially surpassing the standard cutoff of .95 for outstanding model fit (Hu & Bentler, 1999).
• Tucker-Lewis Index (TLI): Ranged between .95 and .97, demonstrating that the structural model retains high explanatory power after penalizing for model complexity.
• Root Mean Square Error of Approximation (RMSEA): Estimated between .038 and .049 across both studies (with 90% confidence intervals well bounded below .06), satisfying the stringent criteria for close model fit.
• Standardized Root Mean Square Residual (SRMR): Consistently recorded below .04, proving minimal discrepancy between the observed sample covariance matrix and the model-implied covariance matrix.

Factor Loadings and Parameter Estimates

All three reflective items exhibited robust, statistically significant, and uniform factor loadings. Unstandardized parameter estimates were significant at $p < .001$. Standardized loadings ($lambda$) across the banking and online replication studies consistently exceeded .80 (ranging from .81 to .92). These empirical metrics confirm that the scale is unambiguously unidimensional; there is no statistical justification for multidimensional splitting or hierarchical sub-factoring. The single-factor solution represents a parsimonious, mathematically sound measurement model.

10. Instrument / Measurement Tool

The structured parameters of the Customer Participation Formalization instrument are detailed below:

• Instrument Name: Customer Participation Formalization (CPF) Scale
• Original Developers: Eric (Er) Fang, Robert W. Palmatier, Kenneth R. Evans (2008, B2B context); Adapted by Seigyoung Auh, Bulent Menguc, Constantine S. Katsikeas, and Young Sung Jung (2019, B2C context)
• Instrument Type: Self-report psychometric rating scale
• Number of Items: 3 items
• Dimensionality: Unidimensional (single latent factor capturing rule-governed procedural customer participation)
• Target Population: Retail banking customers, service clients, professional service recipients, and consumers engaged in collaborative co-production or self-service technologies
• Response Scale: 7-point Likert-type scale configured as follows:
  • 1 = Strongly Disagree
  • 2 = Disagree
  • 3 = Somewhat Disagree
  • 4 = Neither Agree nor Disagree (Neutral)
  • 5 = Somewhat Agree
  • 6 = Agree
  • 7 = Strongly Agree
• Administration Time: Approximately 1 to 2 minutes
• Scoring Protocol:
  • All items are framed positively (no reverse-coded items).
  • Composite Score Calculation: The overall CPF index is calculated by summing the scores of the 3 items (ranging from 3 to 21) or by calculating the arithmetic mean (ranging from 1.00 to 7.00).
  • Score Interpretation: Higher mean scores (> 5.0) indicate that the customer experiences their interaction with the firm as strictly structured, highly standardized, and governed by established protocols. Lower scores (< 3.0) indicate an informal, discretionary, and uncodified participation environment.
  • In structural equation modeling (SEM) applications, the items are modeled as reflective continuous indicators of the latent variable $ ext{CPF}$.

11. Permissions & Fee and Test Year

The Customer Participation Formalization scale was published in its refined consumer-facing adaptation in 2019 by the American Marketing Association (AMA) in the Journal of Marketing Research, adapted from the original 2008 publication in the Journal of Marketing. The academic copyright for the published journal articles is retained by the American Marketing Association and Sage Publications.

Permissions and Usage Guidelines:

• Academic and Non-Commercial Research: Under standard fair-use scholarly conventions, researchers, doctoral candidates, and academic faculty may utilize, cite, and evaluate the CPF scale for non-commercial scientific research, academic dissertations, and theoretical testing without remitting licensing fees, provided proper bibliographic citation is accorded to Auh et al. (2019) and Fang et al. (2008).
• Commercial Applications and Consulting: Organizations, management consultancies, and commercial market research firms seeking to embed the scale into proprietary customer diagnostics, commercial software platforms, or fee-generating service audits must consult Sage Publications or the primary authors to secure formal commercial rights and permissions.
• Fee: Free for non-profit academic research purposes.

12. References

• Auh, S., Menguc, B., Katsikeas, C. S., & Jung, Y. S. (2019). When does customer participation matter? An empirical investigation of the role of customer empowerment in the customer participation–performance link. Journal of Marketing Research, 56(6), 1012–1033. https://doi.org/10.1177/0022243719867975
• Fang, E., Palmatier, R. W., & Evans, K. R. (2008). Effect of customer participation on downstream collaboration, development capability, and new product performance: The role of collaborative governance. Journal of Marketing, 72(3), 1–19. https://doi.org/10.1509/jmkg.72.3.001
• 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
• 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
• Katz, D., & Kahn, R. L. (1978). The Social Psychology of Organizations (2nd ed.). John Wiley & Sons.
• Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric Theory (3rd ed.). McGraw-Hill.
• Pugh, D. S., Hickson, D. J., Hinings, C. R., & Turner, C. (1968). Dimensions of organization structure. Administrative Science Quarterly, 13(1), 65–105. https://doi.org/10.2307/2391262
• Vargo, S. L., & Lusch, R. F. (2004). Evolving to a new dominant logic for marketing. Journal of Marketing, 68(1), 1–17. https://doi.org/10.1509/jmkg.68.1.1.24036
• Weber, M. (1947). The Theory of Social and Economic Organization (A. M. Henderson & T. Parsons, Trans.). Free Press.

13. Items of the Scale