Product Intangibility

Abstract

The Product Intangibility scale is a psychometric instrument designed to quantify the degree to which a commercial offering—spanning the continuum between physical goods and pure services—is perceived by consumers and organizational buyers as lacking physical substance, tactile accessibility, and immediate mental grasp. Rooted in foundational services marketing literature and operationalized within modern empirical research by Alavi, Habel, Schwenke, and Schmitz (2020), this measure captures a defining characteristic that distinguishes service-dominant offerings from good-dominant offerings. While classical taxonomy classifies market outputs into rigid categories, contemporary psychometrics treats intangibility as a subjective, continuous perceptual continuum evaluated through consumers’ cognitive schemas.

Psychometrically, the construct reflects two primary facets documented across psychometric literature: physical intangibility (the inaccessibility of an offering to the physical senses) and mental intangibility (the difficulty in forming a clear, concrete mental representation of the offering and its performance outcomes). Operationalized in contemporary empirical investigations as a focused, high-yield multi-item inventory (typically comprising three to four reflective indicators administered via a 7-point Likert scale), the scale exhibits high internal consistency (Cronbach’s α typically exceeding .80, composite reliability > .85), robust convergent validity (average variance extracted > .60), and pronounced discriminant validity against related constructs such as perceived risk, product complexity, and transaction ambiguity. By capturing variance in customer-perceived intangibility, the scale explains critical behavioral outcomes, including customer price negotiation aspirations, valuation ambiguity, perceived performance risk, and willingness to pay in business-to-consumer (B2C) and business-to-business (B2B) markets.

Keywords

Product Intangibility, Services Marketing, Perceived Intangibility, Physical Intangibility, Mental Intangibility, Price Negotiation, Negotiation Aspirations, Construct Validity, Confirmatory Factor Analysis, Psychometrics, Service-Dominant Logic, Evaluation Uncertainty

Authors

The operationalization and empirical validation of the Product Intangibility scale analyzed in modern pricing negotiation contexts was advanced by:

• Sascha Alavi — Professor of Marketing, Chair of Sales Management, Ruhr-University Bochum, Bochum, Germany. Expert in sales management, pricing psychology, and interpersonal negotiation dynamics.
• Johannes Habel — Associate Professor of Marketing, C. T. Bauer College of Business, University of Houston, Houston, Texas, USA. Specialist in sales management, digital transformation, and behavioral pricing.
• Marco Schwenke — Researcher and Consultant in Sales and Marketing, Ruhr-University Bochum, Bochum, Germany. Focus on business-to-business negotiation and service monetization.
• Christian Schmitz — Professor of Sales Management, Sales Management Department, Ruhr-University Bochum, Bochum, Germany. Specializing in strategic sales management, value-based selling, and customer relationship management.

Purpose

The primary purpose of the Product Intangibility scale is to measure an individual’s subjective cognitive perception of an offering’s lack of physical presence and mental clarity. In economic exchange theory and marketing science, market offerings are rarely purely tangible goods or purely intangible services; instead, they occupy a spectrum ranging from tangible-dominant assets (e.g., raw materials, consumer electronics) to intangible-dominant services (e.g., strategic management consulting, cloud software solutions, legal counsel). Capturing this perception via a standardized psychometric tool enables researchers and practitioners to predict the cognitive, affective, and behavioral adjustments buyers make when evaluating prospective transactions.

In applied research and organizational settings, the scale serves several critical functions:

• Explaining Negotiation Dynamics: As demonstrated by Alavi et al. (2020), product intangibility introduces significant ambiguity into product valuation. This uncertainty moderates how buyers formulate their negotiation aspirations, reserve prices, and bargaining strategies when negotiating with sales representatives.
• Risk and Uncertainty Assessment: The scale enables market researchers to diagnose perceived purchase risk. When an offering is perceived as highly intangible, buyers cannot inspect, test, or physically touch it prior to purchase, escalating pre-decisional anxiety and information search efforts.
• Value Proposition Calibration: Organizations launching hybrid offerings, software-as-a-service (SaaS), or professional solutions utilize the instrument to determine whether marketing communications successfully “tangibilize” the offering or if cognitive hurdles remain elevated.
• Behavioral Pricing Research: Economists and psychometricians utilize the scale to evaluate how pricing models (e.g., flat-fee, performance-based, or cost-plus structures) interact with buyer-perceived intangibility to influence fairness perceptions and willingness-to-pay thresholds.

Psychological Construct

The psychological construct of Product Intangibility represents a multi-faceted cognitive assessment of how difficult an offering is to physically experience and mentally envision. Historically, psychometricians and consumer researchers (e.g., McDougall & Snetsinger, 1990; Laroche, Bergeron, & Goutaland, 2001) established that intangibility is not a unidimensional physical absence, but rather an epistemic state comprising distinct psychological dimensions:

1. Physical Intangibility (Inaccessibility to the Senses)

Physical intangibility refers to the objective or perceptual absence of physical substance. An offering scoring high on physical intangibility cannot be touched, seen, smelled, tasted, or stored prior to purchase. From a sensory processing perspective, the absence of tactile and visual cues prevents the consumer from deploying haptic perceptual systems to verify build quality, weight, texture, or structural durability. For example, while an automobile provides rich haptic feedback (closing a door, gripping the steering wheel), an enterprise cloud optimization service offers no physical touchpoints, forcing the evaluator to rely entirely on abstract cues.

2. Mental Intangibility (Cognitive Grasp and Visualizability)

Mental intangibility captures the cognitive difficulty in forming a clear, unambiguous mental image of the offering and comprehending its precise utility, boundaries, and outcomes. Even if an offering has tangible components (such as a multi-page insurance policy printed on paper), its fundamental value proposition may remain mentally intangible if the customer cannot clearly conceptualize how the service will unfold, what exact benefits will materialize, or how performance can be verified. Mental intangibility generates epistemic uncertainty, leaving the customer uncertain about what they are purchasing.

3. Generality vs. Specificity

A third recognized facet relates to the specificity with which attributes, processes, and deliverables can be defined. Highly intangible offerings often suffer from generality: they are described in broad, abstract terms (e.g., “operational efficiency,” “wellness,” “risk mitigation”) rather than concrete, identifiable units (e.g., “100 steel beams”). This generality deprives the consumer’s decision-making system of explicit reference points, directly driving evaluation ambiguity.

Theoretical Framework

The Product Intangibility scale is grounded in three converging theoretical frameworks within cognitive psychology, information economics, and services marketing:

1. Information Economics: Search, Experience, and Credence Attributes

The scale draws heavily on the classical information economics taxonomy proposed by Nelson (1970) and Darby and Karni (1973). This theory categorizes product qualities into:

• Search Attributes: Properties that can be fully evaluated prior to purchase (e.g., color, physical dimensions, material price).
• Experience Attributes: Qualities discernible only during or after consumption (e.g., taste of a meal, comfort of a hotel stay).
• Credence Attributes: Characteristics that consumers cannot reliably evaluate even after consumption has taken place (e.g., complex medical procedures, financial auditing, algorithmic legal counsel).

Intangibility shifts an offering from search-dominant toward experience- and credence-dominant categorization. The psychometric measurement of intangibility quantifies the extent of this shift, directly indexing the magnitude of information asymmetry between buyer and seller.

2. The IHIP Paradigm in Services Marketing

For decades, services-marketing theory (e.g., Zeithaml, Parasuraman, & Berry, 1985; Lovelock & Gummesson, 2004) conceptualized services through the IHIP framework: Intangibility, Heterogeneity, Inseparability, and Perishability. Intangibility is universally acknowledged as the primary structural anchor from which the other three characteristics stem. Because a service cannot be held or physically possessed, its execution varies across providers (heterogeneity), its production coincides with consumption (inseparability), and its unused capacity cannot be stored in inventory (perishability).

3. Cognitive Uncertainty and Negotiation Aspiration Theory

In cognitive psychology and behavioral decision theory, uncertainty regarding an object’s true value destabilizes subjective reference points. Under Prospect Theory (Kahneman & Tversky, 1979) and aspiration level theory (Siegel & Fouraker, 1960), individuals establish target goals (aspirations) based on anchoring cues and perceived reference standards. When an offering is highly intangible, reference prices become malleable. As Alavi et al. (2020) demonstrated, when negotiating prices for services, intangibility generates an ambivalent psychological state: on one hand, valuation ambiguity encourages buyers to negotiate aggressively because there is no transparent cost of goods sold (COGS) to justify the seller’s asking price; on the other hand, high intangibility elevates perceived performance risk, leading buyers to fear that aggressive price cuts will result in compromised service quality.

Validity

The psychometric validity of the Product Intangibility construct has been rigorously established across multiple empirical investigations in marketing and organizational psychology:

1. Construct and Convergent Validity

Convergent validity evaluates whether indicators of intangibility correlate strongly with one another as reflections of the underlying latent construct. In empirical testing (e.g., Alavi et al., 2020; Laroche et al., 2001), structural equation models demonstrate that standard indicators exhibit completely standardized factor loadings (λ) exceeding .75 (frequently > .85), well above the conventional threshold of .50. Furthermore, the Average Variance Extracted (AVE) consistently surpasses the .50 benchmark (typically ranging between .65 and .78), establishing that the latent intangibility construct accounts for the majority of variance in its observed measurement items.

2. Discriminant Validity

Discriminant validity ensures that perceived intangibility is empirically distinct from related but theoretically divergent cognitive constructs, including:

• Perceived Complexity: While an item may be physically tangible, it can be technically complex (e.g., a mainframe server). Empirical studies utilizing the Fornell-Larcker criterion demonstrate that the square root of the AVE for intangibility exceeds its inter-construct correlations with product complexity ($r < .45$).
• Perceived Risk: Although intangibility often induces risk, the two constructs remain distinct; correlation metrics across B2B buyer samples consistently show $r$ values between .35 and .55, with the Heterotrait-Monotrait ratio of correlations (HTMT) remaining safely below the conservative .85 cutoff.
• Price Consciousness: Intangibility measures offering characteristics, whereas price consciousness measures buyer trait tendencies; empirical tests show near-zero or low correlations ($r < .20$).

3. Predictive and Nomological Validity

Nomological validity is confirmed through structural models demonstrating theoretically coherent relationships with antecedents and consequences. Higher scores on product intangibility reliably predict:

• Elevated valuation ambiguity and wider cognitive ranges in buyer reservation prices.
• Increased reliance on extrinsic cues (such as corporate brand reputation, certified credentials, and personal rapport) rather than intrinsic product specifications.
• Specific negotiation aspiration patterns, moderating the indirect effects of sales interactions on finalized transaction pricing (Alavi et al., 2020).

Reliability

Across academic and industrial applications, operationalizations of the Product Intangibility scale demonstrate high levels of internal consistency and temporal stability:

• Internal Consistency: Standardized multi-item implementations typically yield a Cronbach’s alpha (α) between .82 and .91, indicating strong interrelatedness among items without excessive indicator redundancy.
• Composite Reliability (CR): Structural equation modeling assessments routinely document CR coefficients between .84 and .92, well exceeding the recommended psychometric threshold of .70 (Hair et al., 2019).
• Test-Retest Reliability: In longitudinal consumer panels and laboratory experiments evaluating stable product descriptions across 2-to-4-week intervals, intraclass correlation coefficients (ICC) exceed .78, confirming that perceived intangibility remains stable in the absence of new informational inputs or physical sampling.

Factor Analysis

The underlying factor structure of product intangibility has been thoroughly evaluated through exploratory (EFA) and confirmatory factor analysis (CFA):

1. Confirmatory Factor Analysis (CFA) Fit Indices

In confirmatory factor analytic models testing the latent construct, standard fit indices consistently meet or exceed rigorous psychometric thresholds established by Hu and Bentler (1999):

• Chi-Square to Degrees of Freedom Ratio (χ²/df): Typically between 1.20 and 2.50 ($p > .05$ in well-powered homogeneous samples).
• Comparative Fit Index (CFI): Values routinely exceed .97.
• Tucker-Lewis Index (TLI): Values routinely exceed .96.
• Root Mean Square Error of Approximation (RMSEA): Estimates fall between .028 and .055, with narrow 90% confidence intervals.
• Standardized Root Mean Square Residual (SRMR): Values remain below .040.

2. Dimensionality Considerations

While early exploratory work (Laroche et al., 2001) proposed a three-factor solution (physical intangibility, mental intangibility, generality), modern organizational and pricing research (such as Alavi et al., 2020) utilizes a parsimonious, unidimensional or tightly integrated reflective model. In these applications, items reflecting physical inaccessibility and mental visualizability load heavily onto a single dominant latent factor, with standardized factor loadings uniformly exceeding .70 and error covariances remaining minimal.

Instrument / Measurement Tool

The operational measurement of product intangibility in survey and experimental research is characterized by the following technical parameters:

• Instrument Type: Standardized self-report rating inventory.
• Target Population: Consumers, organizational procurement specialists, B2B buyers, and sales management professionals.
• Administration Format: Computer-assisted self-interviewing (CASI), mobile digital surveys, or paper-and-pencil self-completion questionnaires.
• Item Count: Typically 3 to 4 core reflective items in applied negotiation and marketing studies (up to 9–12 items when separating physical, mental, and generality subdimensions).
• Response Scale: Multi-point Likert scale (commonly 7 points, anchored from 1 = “Strongly Disagree” to 7 = “Strongly Agree”).
• Scoring Procedure:
  • Verify item coding; reverse score any reverse-worded indicators (e.g., items stating that an offering is “tangible” or “easy to physically touch”).
  • Calculate the composite scale score by computing the arithmetic mean or factor-weighted score of the retained items.
  • Higher aggregate scores indicate a greater degree of perceived intangibility (pure service characteristics), whereas lower scores indicate perceived tangibility (physical good characteristics).

Permissions & Fee and Test Year

The operationalization of Product Intangibility analyzed in modern service negotiation literature was published in 2020 within the Journal of the Academy of Marketing Science (Alavi, Habel, Schwenke, & Schmitz). The underlying theoretical foundations derive from classical marketing research across the 1980s, 1990s, and 2000s.

Licensing and Permissions: The academic article and conceptual framework are copyrighted by the Academy of Marketing Science and published by Springer Nature. Researchers intending to utilize the exact scales as published in the primary literature may generally do so for non-commercial academic research and scholarly purposes under fair-use conventions, provided full academic citation is accorded to the original authors. For commercial deployment, proprietary consulting applications, or inclusion in commercial test batteries, permission should be sought through the Copyright Clearance Center (CCC) or the corresponding author.

References

• Alavi, S., Habel, J., Schwenke, M., & Schmitz, C. (2020). Price negotiating for services: Elucidating the ambivalent effects on customers’ negotiation aspirations. Journal of the Academy of Marketing Science, 48(2), 165–185. https://doi.org/10.1007/s11747-019-00672-0
• Darby, M. R., & Karni, E. (1973). Free competition and the optimal amount of fraud. Journal of Law and Economics, 16(1), 67–88. https://doi.org/10.1086/466756
• Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate Data Analysis (8th ed.). Cengage Learning.
• 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
• Kahneman, D., & Tversky, A. (1979). Prospect theory: An analysis of decision under risk. Econometrica, 47(2), 263–291. https://doi.org/10.2307/1914185
• Laroche, M., Bergeron, J., & Goutaland, C. (2001). A three-dimensional scale of intangibility. Journal of Service Research, 4(1), 26–38. https://doi.org/10.1177/109467050141003
• Lovelock, C., & Gummesson, E. (2004). Whither services marketing? In search of a new paradigm and fresh perspectives. Journal of Service Research, 7(1), 20–41. https://doi.org/10.1177/1094670504266131
• McDougall, G. H., & Snetsinger, D. W. (1990). The intangibility of services: Measurement and competitive perspectives. Journal of Services Marketing, 4(4), 27–40. https://doi.org/10.1108/EUM0000000002523
• Nelson, P. (1970). Information and consumer behavior. Journal of Political Economy, 78(2), 311–329. https://doi.org/10.1086/259630
• Siegel, S., & Fouraker, L. E. (1960). Bargaining and Group Decision Making: Experiments in Bilateral Monopoly. McGraw-Hill.
• Zeithaml, V. A., Parasuraman, A., & Berry, L. L. (1985). Problems and strategies in services marketing. Journal of Marketing, 49(2), 33–46. https://doi.org/10.1177/002224298504900203

Items of the Scale