Complex Adaptive Team Systems (CATS): Scaling of a Team Leadership Development Model

Complex adaptive systems (CAS) have been identified as being hard to comprehend, composed of multiple interacting components acting interdependently with overlapping functions aimed at adapting to external/environmental forces. The current theoretical model utilized the natural functions of teams, viewing teams as a complex adaptive system, to develop the structure of the theory of complex adaptive team systems (CATS). The CATS model was formulated around the components of complexity theory (interactions, nonlinearity, interdependency, heterogeneity, complex systems, emergence, self-organizing, and adaptability) to show its utility across multiple domains (the role of leadership, organizational learning, organizational change, collective cognitive structures, innovation, cross-business-unit collaborations). In theorizing the CATS model, a new level of analysis was implemented, the interactions between agents as a move toward emergence in complex systems. The CATS model ultimately provides a model for organizations/institutions to drive knowledge creation and innovation while operating in today’s complexity

Sodium Hydroxide Catalyzed Dehydrocoupling of Alcohols with Hydrosilanes

An O–Si bond construction protocol employing abundantly available and inexpensive NaOH as the catalyst is described. The method enables the cross-dehydrogenative coupling of an alcohol and hydrosilane to directly generate the corresponding silyl ether under mild conditions and without the production of stoichiometric salt byproducts. The scope of both coupling partners is excellent, positioning the method for use in complex molecule and materials science applications. A novel Si-based cross-coupling reagent is also reported

Sodium Hydroxide Catalyzed Dehydrocoupling of Alcohols with Hydrosilanes

An O–Si bond construction protocol employing abundantly available and inexpensive NaOH as the catalyst is described. The method enables the cross-dehydrogenative coupling of an alcohol and hydrosilane to directly generate the corresponding silyl ether under mild conditions and without the production of stoichiometric salt byproducts. The scope of both coupling partners is excellent, positioning the method for use in complex molecule and materials science applications. A novel Si-based cross-coupling reagent is also reported

The Relationship between Administrative Intensity and Student Retention and Success: A Three-Year Study

Through the lens of complexity theory and by utilizing the methodological framework set forth in Gander’s 1999 article regarding internal and external organizational elements of administrative intensity, this secondary data analysis study linked the internal organizational elements of administrative intensity to institutional results as evidenced by higher education student retention and graduation rates. Representing institutional investments, efforts, and outcomes from 2004 to 2014, three years of data reporting were gathered from the Integrated Postsecondary Education Data Set (IPEDS) and were then cleaned per secondary data analysis techniques. Using canonical correlation analysis, the internal elements of administrative intensity were correlated with student retention and success. Findings indicate the relationships of internal elements of higher education institutions on student retention and success, which was measured by four-year, six-year, and eight-year graduation rates. The discussion includes education policy implications

Big Data in the Big D

Presentation paper for the 2017 International Conference on Knowledge Management. This paper introduces a new theoretical model utilizing Turner and Baker’s (2017) Team Emergence Leadership Development and Evaluation (TELDE) model as a tool to facilitate interactions imbedded in complex adaptive systems

Big Data in the Big D

Presentation for the 2017 International Conference on Knowledge Management. This presentation introduces a new theoretical model to facilitate interactions embedded in complex adaptive systems utilizing a Team Emergence Leadership Development and Evaluation model