DOI: https://doi.org/10.36347/sjebm.2026.v13i03.001

Pages: 83-101

The healthcare sector in Kenya faces numerous challenges that impact its overall performance and quality of care. To address these challenges, healthcare organizations increasingly adopt intrapreneurship practices. This pilot study evaluated the viability of the research instrument designed for a main investigation on the effect of intrapreneurship practices on health sector performance in Kenya as moderated by the board structure in Sub-County hospitals at Elgeyo Marakwet County. The pilot assessed the effectiveness of the proposed data collection method, the reliability and validity of respective scales in the instrument, and the feasibility of using the Partial Least Squares - Structured Equation Modeling (PLS-SEM) in data analysis. Piloting was conducted in Uasin Gishu County’s Sub-County hospitals, similar study context expected in the main study. Both stratified and simple random sampling techniques were used to sample the pilot study participants, comprising healthcare employees. Data were collected using a questionnaire. Data screening revealed potential for missing values in the real data due to close spacing of items in the respective scales. To remedy this, spacing would be made uniform. Potential for univariate outliers in the cross-functional collaboration construct was detected. Therefore, more questionnaires would be issued to replace cases that may be removed. Items measuring each construct in the pilot were dependable and achieved the minimum threshold of Cronbach Alpha (α≥0.7), implying they would yield consistent results in the large-scale study. On validity, all constructs were the middling Kaiser Classification category except for healthcare performance, which was in meritorious category. Two items measuring cross-functional collaboration and one for healthcare performance were redundant and would be dropped from the questionnaire for the extensive research study. The board structure construct factors explained only 60.4% of the variance in the