Integration Mode of Conflict Resolution (IMCR)

Abstract

The Integration Mode of Conflict Resolution (IMCR) scale is a specialized psychometric instrument developed by Ashwin W. Joshi and Sanjay Sharma (2004) to evaluate collaborative, non-zero-sum conflict management behaviors within cross-functional project environments. Originating in the context of new product development (NPD), the instrument operationalizes the degree to which multidisciplinary teams confront emerging differences by actively synthesizing disparate viewpoints, surfacing root concerns, and generating synergistic, mutually beneficial solutions rather than resorting to concession, superficial compromise, or authoritarian domination. Comprising four parsimonious, self-report items evaluated on a 7-point Likert scale ranging from 1 (“strongly disagree”) to 7 (“strongly agree”), the IMCR assesses a unidimensional construct reflecting open communication, idea integration, mutual gain pursuit, and cooperative problem-solving.

Psychometric evaluations demonstrate robust internal consistency, with Cronbach’s alpha and composite reliability coefficients exceeding .85 across diverse organizational samples. Confirmatory factor analyses confirm a clean single-factor structure characterized by high item-to-construct loadings (> .75), substantive average variance extracted (AVE > .60), and pronounced discriminant validity against related constructs such as task conflict, compromise, team cohesion, and customer knowledge development processes. By providing an empirically grounded metric of integrative conflict resolution, the IMCR serves as a critical diagnostic tool in organizational psychology, innovation management, and strategic marketing, elucidating how team dynamics directly influence knowledge creation, technological novelty, and market performance.

Keywords

Integration Mode of Conflict Resolution, IMCR, conflict management, cross-functional teams, new product development, integrative bargaining, customer knowledge development, collaborative problem-solving, dual concern model, task conflict

Authors

The Integration Mode of Conflict Resolution scale was conceptualized, operationalized, and validated by Ashwin W. Joshi and Sanjay Sharma. Their pioneering work was published in the Journal of Marketing in 2004.

• Ashwin W. Joshi, Ph.D.: Professor of Marketing at the Schulich School of Business, York University, Toronto, Canada. Dr. Joshi’s research centers on inter-organizational governance, organizational learning, customer relationship management, and cross-functional interfaces in innovation.
• Sanjay Sharma, Ph.D.: Professor of Management and former Dean of the Grossman School of Business at the University of Vermont, Burlington, United States (formerly with the John Molson School of Business, Concordia University). Dr. Sharma is internationally recognized for his scholarship on corporate sustainability, organizational capabilities, strategic management, and innovation processes.

Purpose

In modern industrial and technological ecosystems, the execution of complex projects—such as new product development—inevitably brings together specialists from disparate functional domains, including engineering, marketing, industrial design, manufacturing, finance, and quality assurance. While functional diversity enhances an organization’s access to varied cognitive repertoires and customer insights, it fundamentally introduces divergence in professional values, linguistic codes, functional goals, and problem-solving methodologies. Consequently, conflict is an omnipresent phenomenon in cross-functional collaboration.

The foundational purpose of the Integration Mode of Conflict Resolution (IMCR) scale is to quantify the extent to which project teams manage their inevitable cognitive and operational differences through an integrative (problem-solving) orientation rather than through distributive, competitive, or avoidant modalities. While traditional views of organizational conflict frequently emphasized mitigation or eradication, contemporary psychometrics and organizational theory recognize that cognitive conflict is the primary fuel for organizational creativity, provided it does not degenerate into destructive, interpersonal friction.

Specifically, the IMCR was designed to capture whether cross-functional team members:

• Engage in open and transparent dialogue concerning emerging discrepancies until substantive consensus is forged.
• Demonstrate psychological flexibility and cognitive openness by weaving together divergent specialist recommendations into novel technical or commercial configurations.
• Actively structure deliberations around “win-win” outcomes that satisfy the strategic priorities of all constituent functions rather than settling for sub-optimal trade-offs.
• Maintain a cooperative, prosocial climate when navigating contested design decisions or resource allocations.

In both applied and academic settings, the IMCR is utilized to evaluate how conflict-handling climates influence upstream cognitive processes, such as customer knowledge acquisition and dissemination, and downstream performance metrics, such as product innovativeness, operational efficiency, and commercial project success. In executive coaching and organizational diagnostics, the scale functions as an assessment instrument to identify team dysfunctions, evaluate leadership interventions, and design targeted training programs in collaborative problem-solving.

Psychological Construct

The psychological construct measured by the IMCR resides at the intersection of conflict resolution theory, social psychology, and organizational behavior. Integrative conflict resolution is characterized by high assertiveness paired with high cooperativeness—a stance where parties vigorously articulate their operational needs while remaining profoundly committed to satisfying the legitimate requirements of their collaborators.

Integrative conflict resolution operates across four interrelated psychological and behavioral facets:

1. Transparent Discourse and Psychological Safety

At the individual and interpersonal level, the integration mode requires members to express dissenting opinions and contradictory technical assessments without fear of professional marginalization or interpersonal retribution. Item 1 (“When differences arose among team members, they were discussed openly until an agreement was reached”) operationalizes this norm of open discourse. Rather than suppressing dissension through defensive silence or hierarchical obedience, teams operating in an integrative mode regard cognitive divergence as data to be analyzed systematically.

2. Cognitive Synthesis and Idea Recombination

The cognitive hallmark of integration is the transformation of conflicting ideas into higher-order conceptual solutions. As evaluated by Item 2 (“Team members were willing to integrate each other’s ideas to solve problems”), integration moves beyond simple additive aggregation. It requires team members to deconstruct functional paradigms—such as a conflict between an engineering requirement for robust structural components and a marketing demand for aesthetic minimalism—and discover innovative design choices that fulfill both criteria simultaneously.

3. Superordinate Goals and Mutual Benefit Orientation

Item 3 (“Team members tried to find solutions that were mutually beneficial to all”) measures the extent to which teams adopt an expansive, non-zero-sum worldview. In zero-sum or distributive environments, one department’s victory is conceptualized as another’s defeat (e.g., manufacturing budgets overriding design integrity). In contrast, the integrative construct taps a collective commitment to superordinate goals, wherein success is defined strictly by the holistic efficacy of the joint enterprise.

4. Cooperative Heuristics

Item 4 (“When differences arose, team members were cooperative in finding solutions”) assesses the prevailing emotional tone and behavioral stance during conflict episodes. Rather than adopting adversarial, combative stances characterized by information withholding, politicized coalitions, or coercive persuasion, team members default to cooperative heuristics, marshaling cognitive resources toward overcoming technical and strategic barriers as a unified unit.

Theoretical Framework

The theoretical architecture underlying the IMCR is deeply anchored in classic and modern behavioral theories, most notably the Dual Concern Model, Mary Parker Follett’s seminal philosophy of conflict resolution, and the Knowledge-Based View (KBV) of the firm.

The Dual Concern Model

Rooted in the foundational typologies of Blake and Mouton (1964), Thomas (1976), and Rahim (1983), the Dual Concern Model posits that an individual’s or group’s approach to conflict is determined by the intersection of two distinct, orthogonal dimensions:

1. Concern for Self: The degree to which an entity attempts to satisfy its own operational objectives, standards, or functional mandates.
2. Concern for Others: The degree to which an entity endeavors to satisfy the goals and well-being of interaction partners.

When cross-plotted, these dimensions yield five distinct modes of conflict handling: dominating (high self, low others), obliging/accommodating (low self, high others), avoiding (low self, low others), compromising (intermediate self and others), and integrating/problem-solving (high self, high others). The IMCR explicitly isolates and measures this final quadrant. Unlike compromise—which involves mutual concession and often leads to suboptimal, lowest-common-denominator compromises—the integrating mode relies on an expansive problem space where neither party abandons its core underlying concerns.

Follett’s Constructive Conflict Paradigm

The philosophical origins of this construct trace back to the seminal lectures of organizational pioneer Mary Parker Follett (1926/1940), who observed that conflict is not an inherent evil or a pathological aberration, but rather an unadulterated manifestation of difference. Follett posited three fundamental ways to settle conflict: domination, compromise, and integration. She argued that integration represents the only method that eliminates the underlying friction permanently, because it creates an entirely new state of affairs where neither party is coerced into sacrifice. Joshi and Sharma’s operationalization of the IMCR directly reflects Follettian principles applied to contemporary organizational innovation.

Task Conflict vs. Relationship Conflict Interplay

The instrument is also situated within the structural conflict literature established by Jehn (1995) and Amason (1996). These scholars demonstrated that organizational conflict bifurcates into cognitive (task) conflict—disagreements over viewpoints, ideas, and strategic alternatives—and affective (relationship) conflict—interpersonal friction, animosity, and emotional clashes. While task conflict is essential for rigorous critical evaluation, it carries a high risk of triggering relationship conflict, which derails project execution. The integrative mode acts as a psychocognitive moderator: by channeling disagreements into collaborative, mutually respectful problem-solving pathways, it allows teams to extract the creative benefits of task conflict while inhibiting the destructive escalation of affective hostility.

Validity

The psychometric validity of the IMCR scale has been systematically evaluated through rigorous empirical protocols, encompassing construct, convergent, discriminant, and criterion-related validity assessments.

Construct and Convergent Validity

Construct validity evaluates whether an operationalized measure accurately reflects its targeted conceptual domain. In their validation study comprising 184 new product development projects across manufacturing and technology organizations, Joshi and Sharma (2004) subjected the four items to rigorous psychometric screening. All four items exhibited standardized factor loadings exceeding .75 on their designated latent construct, well above the conventional threshold of .50 (or .70 for established scales). The average variance extracted (AVE) was approximately .65, surpassing the .50 benchmark recommended by Fornell and Larcker (1981). This statistical evidence demonstrates that the scale accounts for substantially more shared variance among its items than measurement error, confirming robust convergent validity.

Discriminant Validity

Discriminant validity ensures that the scale measures a unique psychological phenomenon distinct from neighboring organizational constructs. Using nested confirmatory factor analytic (CFA) model comparisons, Joshi and Sharma demonstrated that the IMCR was statistically distinct from related team constructs, such as cross-functional team autonomy, customer knowledge competence, and developmental team support. In every pairwise construct evaluation:

• The correlation between IMCR and alternative latent constructs was significantly less than 1.0 (with confidence intervals not encompassing unity).
• The squared correlation ($R^2$) between IMCR and any other latent variable remained markedly lower than the AVE of the IMCR itself, fulfilling the rigorous Fornell-Larcker discriminant criterion.
• Constraining the correlation between IMCR and other constructs to unity produced a statistically significant worsening of model fit ($\Delta \chi^2, p < .001$), demonstrating empirical non-redundancy.

Criterion-Related and Predictive Validity

Predictive and concurrent validity have been repeatedly documented in strategic marketing and innovation management investigations. As theorized, higher scores on the IMCR are positively and significantly related to:

• Customer Knowledge Development: Enhanced capacity of teams to gather, interpret, and convert latent customer needs into actionable technical requirements ($p < .01$).
• Product Novelty: The generation of breakthrough product architectures and feature sets ($p < .05$), as opposed to incremental line extensions.
• Market Performance: Elevated levels of commercial success, customer satisfaction, and financial return on NPD investment.

Reliability

The reliability of the IMCR has been demonstrated across multiple quantitative studies, demonstrating high internal consistency and measurement precision.

Internal Consistency

In the primary study by Joshi and Sharma (2004), the IMCR yielded a Cronbach’s alpha ($lpha$) coefficient of .88, indicating exemplary internal consistency for a four-item instrument. Subsequent replications and contextual adaptations in innovation management and organizational behavior literatures report alpha coefficients consistently situated between .84 and .91, well in excess of Nunnally and Bernstein’s (1994) benchmark of .70 for exploratory research and .80 for established tools.

Composite Reliability

Because Cronbach’s alpha assumes tau-equivalence (equal factor loadings across all items) and can occasionally underestimate true scale reliability, researchers regularly compute composite reliability (CR, also known as McDonald’s $\omega$). For the IMCR, composite reliability estimates consistently surpass .87, confirming that the latent variable captures coherent, true-score variance without being inflated by superficial item redundancies.

Item-Total Correlations and Stability

Corrected item-total correlations across the four individual items exceed .68, reflecting strong individual item performance and confirming that no single item skews or diminishes overall measurement reliability. While test-retest reliability across long intervals is not typically calculated due to the project-specific nature of NPD evaluations (the scale assesses a completed or active phase of a specific project), the tool shows high stability when administered longitudinally across intermediate milestones of stable project teams.

Factor Analysis

The structural dimensionality of the IMCR has been thoroughly investigated through exploratory and confirmatory factor analyses.

Exploratory Factor Analysis (EFA)

During initial scale development, principal components and maximum likelihood factor analyses with oblique rotations were executed. The scree test, alongside Kaiser-Guttman eigenvalues-greater-than-one criteria, consistently extracted a single dominant factor accounting for over 65% of the total variance. The scree plot displayed a clear drop-off after the first component, confirming that integrative conflict resolution within NPD teams operates as an essentially unidimensional construct.

Confirmatory Factor Analysis (CFA)

In the measurement model tested by Joshi and Sharma (2004) utilizing Structural Equation Modeling (SEM) techniques (e.g., LISREL / AMOS), the single-factor specification of the IMCR exhibited outstanding model fit indices when evaluated alongside associated structural constructs:

• Chi-Square to Degrees of Freedom Ratio ($\chi^2 / df$): Consistently falls between 1.2 and 2.1, well below the conservative threshold of 3.0.
• Comparative Fit Index (CFI): Values consistently exceed .96 (often reaching .98 to .99).
• Tucker-Lewis Index (TLI / NNFI): Typically exceeds .95.
• Root Mean Square Error of Approximation (RMSEA): Ranges between .035 and .055, remaining below the stringent .06 upper bound for close fit.
• Standardized Root Mean Square Residual (SRMR): Remains below .04, signaling negligible residual covariance.

Standardized factor loadings ($lambda$) for the four individual items regularly range from .76 to .86, with all parameter estimates statistically significant at $p < .001$. These structural analytics confirm that the four items function as interchangeable, highly reliable manifestations of the underlying integration mode construct.

Instrument / Measurement Tool

The operational features of the Integration Mode of Conflict Resolution (IMCR) instrument are structured as follows:

• Instrument Name: Integration Mode of Conflict Resolution (IMCR)
• Authors: Ashwin W. Joshi and Sanjay Sharma (2004)
• Target Construct: Integrative, collaborative, win-win conflict management behaviors within project teams
• Application Setting: Project teams, new product development (NPD) task forces, cross-functional R&D groups, and general organizational teams
• Format: 4-item self-report questionnaire administered retrospectively or contemporaneously with respect to a specific project
• Completion Time: Approximately 1 to 2 minutes
• 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
• Scoring and Aggregation Rules:
  • All items are worded in the positive direction; there are no reverse-coded items.
  • The individual respondent’s score is computed by calculating the arithmetic mean of all four items (possible range: 1.00 to 7.00).
  • When used to operationalize team-level climate or collective behavior, individual scores from multiple members of the same project team are aggregated after confirming statistical justification for aggregation (e.g., assessing within-group agreement using James, Demaree, and Wolf’s $r_{wg(j)} > .70$, and intra-class correlations ICC(1) and ICC(2)).
  • Higher scores represent an entrenched, prevalent integrative mode of conflict resolution, whereas lower scores reflect distributive, avoidant, or autocratic conflict-handling environments.

Permissions & Fee and Test Year

The Integration Mode of Conflict Resolution scale was formally published in 2004 in the Journal of Marketing (Volume 68, Issue 4, pages 47–59). The copyright for the original article and its associated measurement scales is held by the American Marketing Association (AMA) and Sage Publications.

• Academic and Non-Commercial Research: Under standard fair-use academic conventions, researchers, doctoral scholars, and educators may utilize the four scale items for empirical investigations, non-commercial dissertations, and academic studies without payment of royalties, provided that full and accurate academic attribution is granted to Joshi and Sharma (2004).
• Commercial and Consultative Usage: Organizations, corporate trainers, and commercial entities seeking to incorporate the IMCR items into proprietary diagnostic batteries, commercial psychometric assessment platforms, or commercial software tools must obtain formal clearance and licensing via the Copyright Clearance Center (CCC) or directly through Sage Publications / American Marketing Association permissions departments.

References

The theoretical and empirical literature foundational to the conceptualization, validation, and contextualization of the IMCR scale includes:

• Amason, A. C. (1996). Distinguishing the effects of functional and dysfunctional conflict on strategic decision making: Resolving a paradox for top management teams. Academy of Management Journal, 39(1), 123–148. https://doi.org/10.2307/256633
• Blake, R. R., & Mouton, J. S. (1964). The Managerial Grid: The Key to Leadership Excellence. Gulf Publishing Company.
• Follett, M. P. (1940). Constructive conflict. In H. C. Metcalf & L. Urwick (Eds.), Dynamic Administration: The Collected Papers of Mary Parker Follett (pp. 30–49). Harper & Brothers. (Original lecture delivered 1926).
• 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
• Jehn, K. A. (1995). A multimethod examination of the benefits and detriments of intragroup conflict. Administrative Science Quarterly, 40(2), 256–282. https://doi.org/10.2307/2393638
• Joshi, A. W., & Sharma, S. (2004). Customer knowledge development: Antecedents and impact on new product performance. Journal of Marketing, 68(4), 47–59. https://doi.org/10.1509/jmkg.68.4.47.42722
• Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric Theory (3rd ed.). McGraw-Hill.
• Rahim, M. A. (1983). A measure of styles of handling interpersonal conflict. Academy of Management Journal, 26(2), 368–376. https://doi.org/10.2307/255985
• Thomas, K. W. (1976). Conflict and conflict management. In M. D. Dunnette (Ed.), Handbook of Industrial and Organizational Psychology (pp. 889–935). Rand McNally.
• Thomas, K. W. (1992). Conflict and negotiation processes in organizations. In M. D. Dunnette & L. M. Hough (Eds.), Handbook of Industrial and Organizational Psychology (2nd ed., Vol. 3, pp. 651–717). Consulting Psychologists Press.

Items of the Scale