The Stakeholder Knowledge Sharing–Measurement Model

Abstract

The Stakeholder Knowledge Sharing–Measurement Model (Chaudhuri et al., 2025) is a robust psychometric instrument developed to systematically investigate the relationship between knowledge sharing practices among a firm’s stakeholders and the subsequent impact on its innovative performance. The scale comprises 23 items adapted from previously validated sources (e.g., Zahra & George, 2002; James & Mondal, 2019). The instrument was validated using an empirical study conducted with respondents drawn from various firms within India, reporting strong results across factor analysis, reliability, and validity metrics.

This measurement model provides a structured framework for researchers and practitioners to quantify complex organizational dynamics related to knowledge transfer and innovation outcomes, specifically considering the moderating role of modern technology usage.

Keywords

Firm Innovation Performance, Knowledge Sharing Among Stakeholders, Process Innovation, Product Innovation, Measurement Model, Business Organizations, Knowledge Transfer, Organizational Innovation, Organizational Performance, Product Design, Stakeholder, Organizational and Occupational Measures, Measurement Models

Authors

Chaudhuri, Ranjan, Chatterjee, Sheshadri, Vrontis, Demetris, Basile, Gianpaolo

Purpose

The primary objective of developing this scale was to provide a scientifically rigorous tool to explore how effective knowledge sharing mechanisms, particularly those enabled by technology, influence a firm’s capacity for innovation. The model seeks to move beyond traditional assessments of innovation by incorporating the crucial input of external and internal stakeholders.

A central goal of the research underlying this model is to enhance the existing understanding of the strategic role that modern technology usage plays in either facilitating or hindering knowledge transfer processes, ultimately affecting firm innovation performance.

Construct

The scale measures the complex construct of Stakeholder Knowledge Sharing and its influence on Firm Innovative Performance. It operationalizes the flow of critical knowledge between the organization and its various stakeholders, evaluating its relationship with key innovative outputs, such as Process Innovation and Product Innovation.

The model is designed as a second-order construct, assessing latent variables related to organizational behavior and performance within the context of business ethics and responsibility, as detailed in the authors’ primary publication.

Validity

Comprehensive validity assessments were performed to ensure the psychometric soundness of the scale components.

  • Convergent Validity: Convergent validity was established by estimating the Average Variance Extracted (AVE) for all constructs. All calculated AVE values were found to be greater than 0.5, which aligns with the recommended lowest threshold value (Hair et al., 2017), indicating that the items effectively measure their respective constructs.

  • Discriminant Validity: Discriminant Validity was verified by comparing the square roots of the AVEs against the respective bifactor correlation coefficients. The results confirmed that the square roots of the AVEs were greater than the correlations, demonstrating that each construct is empirically distinct from the others within the model.

Reliability

The internal consistency of the Stakeholder Knowledge Sharing–Measurement Model was assessed using Cronbach’s alpha coefficients, a standard measure of reliability in psychometric research.

Internal Consistency: The calculated Cronbach’s alpha values for the various constructs within the model demonstrated high reliability, ranging narrowly from 0.87 to 0.89, well above the generally accepted standard of 0.70 for exploratory research.

Factor Analysis

The structural integrity of the measurement model was confirmed through advanced statistical techniques, specifically Confirmatory Factor Analysis (CFA).

Confirmatory Factor Analysis: CFA was utilized to confirm that the items loaded onto their intended underlying factors. The estimated values of the loading factors (LFs) for all instruments were found to be greater than 0.7, which meets the stringent recommended lowest value established in measurement literature (Chin, 2010), thereby validating the proposed factor structure.

Instrument

Test Type: Original

Format: The responses are quantified using a 5-point Likert scale. The anchor points are defined as 1 representing Strongly Disagree (SD) and 5 representing Strongly Agree (SA). The intermediate points are D (disagree), N (neither disagree nor agree), and A (agree).

Language Available: English

Population Group: Human; Male; Female

Age Group: Adulthood (18 yrs & older)

Population Details: Respondents were participants sourced from different firms located in India.

Test Methodology: The study utilized a comprehensive set of methodologies to evaluate the measure, including:

  • Test Validity

  • Convergent Validity

  • Discriminant Validity

  • Test Reliability

  • Internal Consistency

  • Factor Analysis

  • Confirmatory Factor Analysis

  • Measurement Model

Keywords

Firm Innovation Performance, Knowledge Sharing Among Stakeholders, Process Innovation, Product Innovation, Measurement Model, Business Organizations, Knowledge Transfer, Organizational Innovation, Organizational Performance, Product Design, Stakeholder, Organizational and Occupational Measures, Measurement Models

Authors

Author ORCID Identifier:

Affiliation Email addresses:

  • Chaudhuri, Ranjan: Department of Marketing, Indian Institute of Management

  • Chatterjee, Sheshadri: Indian Institute of Technology, Department of Computer Science & Engineering ([email protected])

  • Vrontis, Demetris: Department of Management, University of Nicosia

  • Basile, Gianpaolo: Sapienza University

Correspondence Address: Chatterjee, Sheshadri: Indian Institute of Technology, Department of Computer Science & Engineering, West Bengal, Kharagpur, India, [email protected]

Permissions & Fee and Test Year

Permissions: Contact Corresponding Author

Fee: No

Test Year: 2025

Reference’s

Chaudhuri, R., Chatterjee, S., Vrontis, D., & Basile, G. (2025). Examining the role of knowledge sharing among stakeholders and firm innovation performance: Moderating role of technology usage. Business Ethics, the Environment and Responsibility, 34(1), 43–57. https://doi.org/10.1111/beer.12575

Items of the the Stakeholder Knowledge Sharing–Measurement Model

IMPORTANT: The following scale items must be preserved in their original language and must not be changed in any way.

This is a 23-item measure. No data is Available

Cite this article

Mohammed looti (2025). The Stakeholder Knowledge Sharing–Measurement Model. Psychological Scales & Instruments Database. Retrieved from https://db.arabpsychology.com/scales/the-stakeholder-knowledge-sharing-measurement-model/

Mohammed looti. "The Stakeholder Knowledge Sharing–Measurement Model." Psychological Scales & Instruments Database, 29 Oct. 2025, https://db.arabpsychology.com/scales/the-stakeholder-knowledge-sharing-measurement-model/.

Mohammed looti. "The Stakeholder Knowledge Sharing–Measurement Model." Psychological Scales & Instruments Database, 2025. https://db.arabpsychology.com/scales/the-stakeholder-knowledge-sharing-measurement-model/.

Mohammed looti (2025) 'The Stakeholder Knowledge Sharing–Measurement Model', Psychological Scales & Instruments Database. Available at: https://db.arabpsychology.com/scales/the-stakeholder-knowledge-sharing-measurement-model/.

[1] Mohammed looti, "The Stakeholder Knowledge Sharing–Measurement Model," Psychological Scales & Instruments Database, vol. X, no. Y, ص Z-Z, October, 2025.

Mohammed looti. The Stakeholder Knowledge Sharing–Measurement Model. Psychological Scales & Instruments Database. 2025;vol(issue):pages.

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