Benchmarking the learning capability of organizations
Citation. Goh, S. C., & Richards, G. (1997). Benchmarking the learning capability of organizations. European Management Journal, 15(5), 575–583. https://doi.org/10.1016/s0263-2373(97)00036-4
Summary. Goh and Richards argue that organizational learning becomes managerially useful when organizations can assess the conditions that make learning likely rather than treating learning as an abstract virtue. They develop the Organizational Learning Survey (OLS), a 21-item measure covering clarity of purpose and mission, leadership commitment and empowerment, experimentation and rewards, transfer of knowledge, and teamwork/group problem solving. In a sample of 632 respondents across four reported organizations, the OLS differentiated organizations in the expected direction and showed preliminary reliability and validity evidence, while the authors caution that it is an aggregate self-report diagnostic rather than a direct performance measure.
Key claims
- Organizational learning capability is framed as an organization’s capacity to add to its knowledge base and use that knowledge to modify behavior over time, not simply as individual learning or a generic learning culture label.
- The proposed learning-organization conditions are clarity of purpose and mission, leadership commitment and empowerment, experimentation and rewards, transfer of knowledge, and teamwork/group problem solving.
- The OLS was reduced from an initial 55-item questionnaire to 21 items; the reduced factor explained 46.7% of variance, showed internal consistency of Cronbach’s alpha = 0.90, and showed 10-week test-retest stability of r = 0.77 in a graduate-student sample.
- In the organizational sample, the OLS produced overall mean scores consistent with the authors’ expectations: the small high-technology organization scored highest (4.6), followed by a semi-regulated telecommunications firm (4.02), a public-sector special operating agency (3.8), and a public-sector laboratory unit (3.51).
- The OLS correlated positively with job satisfaction (r = 0.64, p < 0.001, n = 429) and negatively with formalization (r = -0.23, p < 0.001, n = 429), which the authors interpret as preliminary convergent and discriminant validity evidence.
- The authors position the OLS as a survey-feedback and organizational-development tool: collect data, benchmark, discuss results with leadership and teams, identify barriers, intervene, and remeasure after roughly 6–12 months.
Evidence & limitations
- Evidence comes from scale development, focus groups, a 100-employee item-reduction sample, test-retest data from 25 graduate business students, and organizational survey data from 632 respondents across four reported organizations in knowledge-intensive settings.
- The paper provides early reliability and known-groups/convergent evidence, but it does not establish causal effects of learning capability on performance or show that OLS-guided interventions improve organizational outcomes.
- The measure is an aggregate self-report diagnostic of learning-enabling conditions, not a direct measure of knowledge creation, knowledge use, AI experimentation, performance, or behavioral change.
- The paper explicitly acknowledges the normative nature of its learning-organization model and notes that other descriptive perspectives on organizational learning may be legitimate.
- The Drive PDF is a ResearchGate-uploaded copy of a peer-reviewed Elsevier article; canonical provenance is the Crossref DOI record rather than the private Drive link.