B2B Relational Orientation Scale (RO)

Abstract

The B2B Relational Orientation Scale (RO) is a psychometric and strategic measurement instrument designed to assess the extent to which an organization strategically directs its business-to-business (B2B) interactions, processes, and resources toward inter-firm relationships as primary drivers of competitive advantage and sustainable performance. Developed and validated by Agnieszka Zakrzewska-Bielawska, Wojciech Czakon, and Sascha Kraus in 2023, the scale fills a critical void in strategic management and industrial marketing literature, which historically evaluated relational phenomena through fragmented dyadic metrics rather than a unified, firm-level strategic orientation construct. The measurement model is conceptualized as a hierarchical, reflective third-order construct comprising three second-order dimensions: (1) Value Creation and Appropriation Logic, (2) Partner Selection and Portfolio Configuration, and (3) Behavioral Interaction Modalities. These second-order dimensions are operationalized through nine distinct first-order subscales: Value Creation by Value Chain Logic (VCC), Value Creation by Value Network Logic (VCN), Value Appropriation by Value Protection (VAP), Value Appropriation by Value Maximization (VAM), Partner Type (PT), Criteria of Partner Selection (CPS), Transactional Cooperation (TC), Partnership Cooperation (PC), and Coopetition (Coo). Developed via a multi-stage sequential mixed-method methodology incorporating qualitative executive interviews, expert panel item purification, exploratory factor analysis (EFA), and confirmatory factor analysis (CFA) across a cross-industry empirical sample of 400 enterprise firms, the instrument exhibits robust psychometric properties. Internal consistency reliability benchmarks (Cronbach’s alpha and Composite Reliability > 0.80 across all subscales), convergent validity (Average Variance Extracted > 0.50), discriminant validity (via the Fornell-Larcker criterion and Heterotrait-Monotrait ratio), and strong predictive validity toward relational capital and organizational performance support its utility for rigorous empirical scholarship and strategic auditing.

Keywords

B2B Relational Orientation, Relational View, Strategic Orientation, Inter-organizational Relationships, Coopetition, Value Creation Logic, Value Appropriation, Scale Development, Confirmatory Factor Analysis, Psychometrics, Industrial Marketing, Structural Equation Modeling

Authors

The scale was developed and empirically validated by a collaborative international team of scholars in strategic management and industrial marketing:

• Agnieszka Zakrzewska-Bielawska — Department of Management, Faculty of Organization and Management, Lodz University of Technology, Łódź, Poland. Expert in strategic management, inter-organizational networks, and organizational adaptability in high-tech environments.
• Wojciech Czakon — Department of Strategic Management, Faculty of Management and Social Communication, Jagiellonian University, Kraków, Poland. Renowned scholar in strategic coopetition, behavioral strategy, and inter-firm networking dynamics.
• Sascha Kraus — Faculty of Economics and Management, Free University of Bozen-Bolzano, Bolzano, Italy; and Department of Business Management, University of Johannesburg, South Africa. Prolific researcher in strategic entrepreneurship, business models, and quantitative organizational research.

Purpose

The primary purpose of the B2B Relational Orientation Scale is to operationalize, quantify, and evaluate the strategic disposition of an enterprise toward initiating, cultivating, governing, and leveraging inter-organizational relationships. In modern competitive landscapes, firm survival and superiority are rarely governed solely by autonomous, internal firm capabilities or passive market positioning. Drawing from the relational view of the firm, competitive advantage increasingly resides at the nexus of collaborative inter-firm routines, relation-specific assets, complementary resource bundles, and joint governance mechanisms.

Prior to the establishment of this scale, the academic literature in B2B marketing, industrial distribution, and strategic alliance management lacked an integrated psychometric instrument capable of capturing relational orientation as an overarching, multidimensional strategic posture. Extant scales routinely focused on isolated, piecemeal constructs—such as trust, commitment, communication frequency, or opportunism—predominantly evaluated at the level of a single dyadic relationship (e.g., buyer-supplier dyads). Consequently, researchers lacked the methodological tools to examine how an organization holistically structures its strategic orientation toward external partners across entire relational portfolios.

The instrument was engineered to serve multiple diagnostic, theoretical, and empirical functions:

• Academic Research: Providing a validated instrument for structural equation modeling (SEM) to investigate the antecedents (e.g., environmental dynamism, managerial cognitive frames, digital transformation) and outcomes (e.g., radical innovation, market agility, firm resilience, financial profitability) of a relational strategic posture.
• Strategic Auditing & Executive Decision-Making: Offering corporate executives, chief commercial officers, and supply chain strategists a granular diagnostic tool to audit whether their operational collaboration routines align with their stated corporate strategy, clarifying whether the firm operates under anachronistic transactional mechanisms or advanced relational co-specialization.
• Portfolio Optimization: Allowing firms to assess the architectural alignment between how they select partners, how they generate and protect shared economic surplus, and the behavioral diversity (from pure partnership to strategic coopetition) exhibited within their business ecosystem.

Psychological Construct

The B2B Relational Orientation (RO) construct is defined as an enduring, firm-level strategic orientation that prioritizes external, collaborative inter-organizational interactions as the primary mechanism for value generation, competitive insulation, and organizational growth. Rather than a transient operational tactic, RO represents an ingrained managerial philosophy and institutionalized behavioral architecture.

The construct is structured as a hierarchical third-order model, manifesting across three second-order dimensions that encapsulate nine distinct first-order subscales:

1. Value Creation and Appropriation Logic

This dimension captures the cognitive and architectural frameworks through which a firm designs its business model to generate economic surplus and capture economic rent alongside its B2B partners. It reflects a duality between systemic collaboration and protective governance:

• Value Creation by Value Chain Logic (VCC): Reflects linear, sequential collaborative mechanisms. The firm coordinates closely with upstream suppliers and downstream distributors to optimize sequential cost efficiencies, quality assurance, throughput speed, and lean logistics.
• Value Creation by Value Network Logic (VCN): Captures non-linear, multi-actor ecosystem interactions. The firm leverages decentralized, multilateral platforms and complementary network ties to co-create complex, integrated solutions, platform externalities, and shared digital transformations.
• Value Appropriation by Value Protection (VAP): Measures the firm’s defense mechanisms deployed to safeguard core intellectual property, prevent opportunistic rent appropriation by partners, and maintain proprietary boundary control through contracts, monitoring, and structural firewalls.
• Value Appropriation by Value Maximization (VAM): Focuses on collaborative win-win mechanisms that actively expand the total size of the economic pie, ensuring that the firm captures maximum economic value through synergistic growth rather than predatory, zero-sum bargaining.

2. Partner Selection and Portfolio Configuration

This dimension evaluates the cognitive criteria and strategic breadth employed by executive decision-makers when assembling and prioritizing their network of B2B relationships:

• Partner Type (PT): Assesses the heterogeneity and diversity of the external network, measuring the degree to which an enterprise seeks partnerships across varied institutional categories, including traditional vendors, buyers, technology ventures, non-profits, academic and scientific institutions, and horizontal market rivals.
• Criteria of Partner Selection (CPS): Evaluates the relative weighting of strategic, cultural, and capability alignment (such as trust propensity, complementary skill sets, long-term strategic vision, and mutual organizational values) over superficial, myopic criteria such as lowest short-term price or immediate geographic proximity.

3. Behavioral Interaction Modalities

This dimension assesses the actual behavioral repertoire and governance routines that characterize the day-to-day engagement between the enterprise and its inter-firm network:

• Transactional Cooperation (TC): Measures the persistence of formal, market-based, arm’s-length transactional exchanges governed by rigid, programmatic contracts, standardized operational protocols, and minimal interpersonal or cultural integration.
• Partnership Cooperation (PC): Captures deep relational governance, denoted by open two-way communication, mutual vulnerability, relational capital, bilateral idiosyncratic asset investments, joint problem-solving, and reciprocal trust.
• Coopetition (Coo): Evaluates the sophisticated capability of the firm to engage simultaneously in collaborative exchange and intense market competition with horizontal rivals, balancing mutual knowledge sharing with aggressive commercial differentiation.

Theoretical Framework

The scale is anchored in the convergence of several major theories in organizational behavior, industrial organization, and strategic management:

The Relational View of Strategic Management

Introduced by Jeffrey H. Dyer and Harbir Singh (1998), the Relational View posits that a firm’s critical resources may span firm boundaries and become embedded in inter-firm routines and network ties. Dyer and Singh identified four primary sources of relational rents: (a) relation-specific assets, (b) knowledge-sharing routines, (c) complementary resources and capabilities, and (d) effective governance. The B2B Relational Orientation Scale directly operationalizes these theoretical tenets into measurable organizational constructs, specifically capturing the joint creation of economic surplus that cannot be generated by either enterprise in isolation.

Resource-Based View (RBV) and Dynamic Capabilities

Rooted in the seminal works of Edith Penrose (1959) and expanded by Birger Wernerfelt (1984) and Jay Barney (1991), the Resource-Based View conceptualizes the firm as a bundle of idiosyncratic, scarce, non-substitutable, and imperfectly mobile resources. Extending this to relational spaces, the B2B Relational Orientation represents a higher-order dynamic organizational capability (Teece et al., 1997). It reflects an enterprise-wide capacity to sense collaborative opportunities, seize network synergies, and transform organizational structures to sustain alliance ecosystems.

Transaction Cost Economics (TCE) vs. Social Exchange Theory (SET)

Traditional economic doctrine, articulated by Oliver E. Williamson via Transaction Cost Economics, views inter-firm relationships with suspicion, emphasizing the constant hazard of opportunism, asset specificity traps, and the necessity of costly contractual governance. Conversely, Social Exchange Theory (Blau, 1964) highlights psychological contracts, normative reciprocity, emergent trust, and mutual commitment. The B2B Relational Orientation Scale bridges this divide by juxtaposing Transactional Cooperation (TC) and Value Protection (VAP) against Partnership Cooperation (PC) and Value Maximization (VAM), acknowledging that advanced relational orientation is not blind trust, but a sophisticated dialectic balancing value creation with prudent appropriation governance.

Coopetition Theory

Formalized by Brandenburger and Nalebuff (1996), coopetition theory asserts that business interactions are fundamentally non-zero-sum games where firms simultaneously cooperate to expand market possibilities and compete to divide the value created. By embedding Coopetition (Coo) directly within its third-order architecture, the scale captures the modern reality that relational firms actively collaborate with horizontal competitors to set technological standards, mitigate research and development expenditures, and navigate global supply crises.

Validity

The validation protocol executed by Zakrzewska-Bielawska, Czakon, and Kraus (2023) utilized rigorous psychometric testing across multiple empirical phases:

Content and Face Validity

Item generation commenced with a qualitative phase involving extensive, semi-structured interviews with senior executives, enterprise business developers, and supply chain directors. The preliminary item pool was subsequently evaluated by an expert academic panel specializing in strategic management and psychometrics. The panel assessed content validity indices (CVI), scrutinizing semantic clarity, theoretical alignment, construct domain coverage, and cross-cultural adaptability, leading to the refinement and elimination of ambiguous, redundant, or double-barreled items.

Construct and Convergent Validity

Following item purification through Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA) was conducted on an empirical sample of 400 firms. Convergent validity was established by evaluating standard factor loadings, which all significantly exceeded the recommended 0.60 threshold (with the vast majority exceeding 0.70 at p < 0.001). Furthermore, the Average Variance Extracted (AVE) for each of the nine first-order dimensions, as well as the higher-order dimensions, surpassed the canonical 0.50 threshold established by Fornell and Larcker (1981), demonstrating that the latent constructs capture more variance from their indicators than can be attributed to measurement error.

Discriminant Validity

Discriminant validity was established through two distinct methods:

• Fornell-Larcker Criterion: The square root of the AVE for every latent subscale exceeded the inter-construct correlations between that subscale and any other construct in the model.
• Heterotrait-Monotrait Ratio (HTMT): All calculated HTMT ratios fell safely below the conservative 0.85 threshold (and strictly below the 0.90 ceiling), indicating distinct statistical independence among the nine first-order sub-dimensions.

Predictive and Nomological Validity

Nomological validity was demonstrated by testing the scale within an integrated structural equation model against theoretically aligned outcome variables. The overall B2B Relational Orientation construct demonstrated robust, statistically significant positive relationships with organizational innovation capability (both radical and incremental), enterprise agility, relational capital, and objective financial indicators (including Return on Assets [ROA] and sales growth), confirming its predictive utility.

Reliability

The reliability of the B2B Relational Orientation Scale was comprehensively established across all nine first-order factors and the higher-order latent structural tiers. Internal consistency was evaluated using both traditional Cronbach’s alpha ($lpha$) and Composite Reliability (CR), the latter being particularly vital for structural equation modeling as it does not assume equal indicator loadings (tau-equivalence).

• Value Creation by Value Chain Logic (VCC): Cronbach’s $lpha$ > 0.82; CR > 0.84
• Value Creation by Value Network Logic (VCN): Cronbach’s $lpha$ > 0.85; CR > 0.86
• Value Appropriation by Value Protection (VAP): Cronbach’s $lpha$ > 0.80; CR > 0.82
• Value Appropriation by Value Maximization (VAM): Cronbach’s $lpha$ > 0.83; CR > 0.85
• Partner Type (PT): Cronbach’s $lpha$ > 0.81; CR > 0.83
• Criteria of Partner Selection (CPS): Cronbach’s $lpha$ > 0.84; CR > 0.86
• Transactional Cooperation (TC): Cronbach’s $lpha$ > 0.79; CR > 0.81
• Partnership Cooperation (PC): Cronbach’s $lpha$ > 0.87; CR > 0.88
• Coopetition (Coo): Cronbach’s $lpha$ > 0.86; CR > 0.87

All Composite Reliability scores well exceed the universally recommended threshold of 0.70. Furthermore, indicator reliability was verified via individual item squared multiple correlations ($R^2 > 0.40$), indicating robust, stable measurement variance across diverse organizational sectors and operating environments.

Factor Analysis

The psychometric structural validation followed a rigorous two-step statistical architecture:

Exploratory Factor Analysis (EFA)

During the preliminary scale purification stage, EFA was conducted using Principal Axis Factoring (PAF) with oblique rotation (Promax), allowing for realistic inter-correlations among strategic dimensions. The Kaiser-Meyer-Olkin (KMO) measure of sampling adequacy yielded values well above 0.85, confirming sample suitability, while Bartlett’s Test of Sphericity attained high statistical significance ($p < 0.001$). The analysis confirmed that cross-loadings remained minimal (< 0.30) and that each item mapped cleanly onto its designated conceptual subscale.

Confirmatory Factor Analysis (CFA) & Structural Architecture

CFA was subsequently executed on the validation sample ($N = 400$) using Maximum Likelihood estimation via AMOS / Mplus software. The authors tested competing nested structural arrangements to confirm theoretical hierarchy: a single-factor baseline model, a first-order orthogonal model, a nine-factor correlated model, and the hypothesized hierarchical third-order structural model.

The hierarchical third-order model demonstrated superior fit and parsimony, outperforming all rival structural specifications:

• $\chi^2 / df$ (Chi-square to degrees of freedom): Within the acceptable range (< 2.50)
• Comparative Fit Index (CFI): > 0.93
• Tucker-Lewis Index (TLI): > 0.92
• Root Mean Square Error of Approximation (RMSEA): < 0.055 (with narrow 90% confidence intervals)
• Standardized Root Mean Square Residual (SRMR): < 0.050

All second-order loadings onto the overarching third-order construct were positive, strong ($\gamma > 0.65$), and statistically significant at the $p < 0.001$ level, confirming that B2B Relational Orientation operates as a cohesive, higher-order strategic construct.

Instrument / Measurement Tool

• Instrument Type: Firm-level strategic orientation assessment scale / Organizational psychometric survey.
• Format: Structured, self-report organizational questionnaire administered via pen-and-paper or digital surveying platforms (e.g., Qualtrics, LimeSurvey).
• Target Informants: C-suite executives, Chief Commercial Officers (CCOs), Chief Operating Officers (COOs), Vice Presidents of Strategic Alliances, Corporate Development Directors, and Senior Supply Chain Strategists who possess enterprise-wide visibility into B2B relational strategy.
• Response Format: Standard 7-point Likert response scale ranging from:
  • 1 = Strongly Disagree
  • 2 = Disagree
  • 3 = Somewhat Disagree
  • 4 = Neither Agree nor Disagree (Neutral)
  • 5 = Somewhat Agree
  • 6 = Agree
  • 7 = Strongly Agree
• Construct Hierarchical Structure:
  • Third-Order Global Factor: Overall B2B Relational Orientation (RO)
  • Second-Order Dimensions (3):
    • Dimension 1: Value Creation and Appropriation Logic
    • Dimension 2: Partner Selection and Portfolio Configuration
    • Dimension 3: Behavioral Interaction Modalities
  • First-Order Subscales (9): VCC, VCN, VAP, VAM, PT, CPS, TC, PC, and Coo.
• Scoring Guidelines: Individual subscale scores are computed by calculating the arithmetic mean of their respective constituent items. Second-order and overall third-order scores can be operationalized via structural equation modeling latent factor weights or unweighted dimension composites. In diagnostic audits, high scores across PC, VCN, and CPS alongside moderate-to-high scores in VAM reflect a mature, highly collaborative relational posture, whereas dominant TC and VAP scores signal an arm’s-length, transactionally defensive strategic stance.

Permissions & Fee and Test Year

• Publication Year: 2023
• Original Publication: Journal of Business Research, Volume 160, Article 113791.
• Copyright & Intellectual Property: The conceptual framework, validation data, and original scale operationalization are copyrighted by the authors (A. Zakrzewska-Bielawska, W. Czakon, and S. Kraus) and Elsevier Inc.
• Permissions & Accessibility: The scale is intended for academic research and educational scholarship. Non-commercial researchers may reproduce and employ the framework under standard fair-use academic guidelines by citing the original peer-reviewed publication. Commercial applications, corporate consulting deployments, proprietary software integration, or profit-generating assessments require formal licensing and written permission from the copyright holders and the publisher.

References

• Barney, J. (1991). Firm resources and sustained competitive advantage. Journal of Management, 17(1), 99–120. https://doi.org/10.1177/014920639101700108
• Blau, P. M. (1964). Exchange and power in social life. John Wiley & Sons.
• Brandenburger, A. M., & Nalebuff, B. J. (1996). Co-opetition. Doubleday.
• Czakon, W., Srivastava, M. K., Le Roy, F., & Gnyawali, D. R. (2020). Coopetition strategies: Critical issues and future agenda. Long Range Planning, 53(1), 101948. https://doi.org/10.1016/j.lrp.2019.101948
• Dyer, J. H., & Singh, H. (1998). The relational view: Cooperative strategy and sources of interorganizational competitive advantage. Academy of Management Review, 23(4), 660–679. https://doi.org/10.5465/amr.1998.1255632
• 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
• Penrose, E. T. (1959). The theory of the growth of the firm. John Wiley & Sons.
• Teece, D. J., Pisano, G., & Shuen, A. (1997). Dynamic capabilities and strategic management. Strategic Management Journal, 18(7), 509–533. https://doi.org/10.1016/j.jbusres.2023.113791

Items of the Scale