By Srinagesh Gavirneni
For approximately fifty years, stock learn was once carried out with a silo mentality with assumptions of exogenous pricing, price-independent call for distribution, rational human determination making, and shortage of data sharing. during the last few years, there's elevated attention that this type of research and considering are not valuable for the trendy enterprise global. This has encouraged stock researchers to arrive throughout diverse company practical parts equivalent to finance, advertising, human capital and data expertise and establish examine questions which are extra applicable for the trendy, advanced, data-driven company environments. Cross-Functional stock learn comprises path-breaking learn advancements in cross-functional stock examine. The methodologies utilized to respond to those study questions disguise the full gamut of empirical, analytical, and behavioral approaches.
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