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This chapter introduces electroencephalography (EEG), a measure of neurophysiological activity, as a critical method for investigating individual and team decision-making and cognition. EEG is a useful tool for expanding the theoretical and research horizons in organizational cognitive neuroscience, with a lower financial cost and higher portability than other neuroimaging methods (e.g., functional magnetic resonance imaging). This chapter briefly reviews past work that has applied cognitive neuroscience methods to investigate cognitive processes and outcomes. The focus is on describing contemporary EEG measures that reflect individual cognition and compare them to complementary measures in the field of psychology and management. The authors discuss how neurobiological measures of cognition relate to and may predict both individual cognitive performance and team cognitive performance (decision-making). This chapter aims to assist scholars in the field of managerial and organizational cognition in understanding the complementarity between psychological and neurophysiological methods, and how they may be combined to develop new hypotheses in the intersection of these research fields.

This chapter will introduce three novel technologies demonstrated in Sino-Italian Green Energy Lab of Shanghai Jiao Tong University for the hot summer and cold winter climate zone.

Experimental and modeling works have been conducted on the application of these systems. A comprehensive review on the features of these novel technologies, their adaptability to local climate condition have been carried out, and some initial study results have been reported.

Solar PV direct-driven air conditioner with grid connection, home used small temperature difference heat pump, smart house energy information and control system are appropriate energy technologies with reduced CO₂ emission, which can be applied efficiently in the hot summer and cold winter climate zone. More useful data will be obtained in the future demonstration tests in Sino-Italian Green Energy Lab.

This work shows combining renewable energy technologies and information technologies is crucial to improve the energy efficiency and the comfortableness for indoor environment.