The Impact of Technological, Individual, and Community Factors in Driving Organizational Social Intellectual Capital in Higher Education: A Path Analysis

Purpose – This analysis seeks to understand how activity theory impacts organizational social capital in higher education and contributes to knowledge investment for integrating the knowledge economy and society within the higher education context.
Design/Methodology/Approach – The researcher tested the proposed research model from a survey of 154 teachers and experts from national universities. A related literature review analysis was conducted to explore the intersections between survey results and previous studies related to each factor of the structural model.
A structural model analysis examined hypothetical relationships between variables. Standardized path coefficients were tested to determine whether the research’s empirical evidence supported the hypotheses.
Results – Hypotheses empirical verification confirmed the relationship between technological, individual, and community factors, promoting organizational social capital in higher education institutions.
Analysis shows that the high Composite Reliability (CR) value measures 0.93, exceeding the value of 0.70, indicating all factors constantly measure the same construct. The study revealed that the Average Variance Extracted (AVE) value is equal to 0.58, exceeding the value of 0.5 for the structural model, confirming its validity based on convergent validity metrics.
Originality/Value – This study is useful for analyzing and understanding technological, individual, and societal factors driving social and organizational capital in higher education.