A view of organizations as complex, computational and adaptive systems in which knowledge and learning are embedded in multiple levels is presented. According to this perspective, activity at one level can interfere with or support activity at other levels. As such, organizational adaptation requires finding a balance between these levels. These ideas are illustrated using results from a computational model of organizational performance. Results suggest that organizations can trade knowledge and learning at one level for knowledge and learning at another. As such, for the organization performance becomes a balancing act between levels.

Children with autism situated in lower income families often receive intensive educational interventions as their primary form of treatment, due to financial barriers for community interventions. However, the continuity of care can be disrupted by school transitions. The quality of social relationships during the transition to a new school among parents, school staff and community providers, called the team-around-the-child (TAC), can potentially buffer a child with autism from the adverse effects caused by care disruptions. Qualities of social relationships, including trust and collaborative problem solving, can be measured using social network analysis. This study investigates if two different types of TAC relationships, defined as (1) the level of trust among team members and (2) the degree of collaborative problem solving among team members, are associated with perceived successful transitions for children with autism from lower income families. Findings suggested that TAC trust is significantly associated with the outcome of transition success for children with autism immediately post-transition.

Background: Numerous studies have shown that racial/ethnic minority and under-resourced families face barriers that delay timely access to autism services. These barriers include lack of resources and information about autism, financial hardship, mistrust in the service system, cultural and language mismatch, and other factors that have yet to be identified. Method: The current study aimed to examine additional caregiver and system-level factors that could be associated with early service access using a diverse sample from four study sites (Los Angeles, CA; Philadelphia, PA; Sacramento, CA; and Rochester, NY). Partnering with community agencies that serve traditionally underrepresented groups, the research team recruited 118 caregivers of young children with autism who were low-income, English, Spanish or Korean speaking and had not accessed autism-specific services. Results: Regression analyses revealed that the total number of services accessed were associated with caregiver social network size (p = 0.011) but not by race, autism knowledge and caregiver agency. Among families receiving at least one non-autism specific service, a marginally significant interaction effect of site and primary language on total services received was observed (p = 0.06). Conclusion: Findings suggest that caregivers’ social network connections are crucial in early service access, and future interventions could target increasing social networks to improve families’ service engagement. More attention for non-English speaking families, especially those living in areas with few supports in their native languages, is needed.