In today’s fast changing and non‐linear business environment the only way to gain competitive advantage is by managing intellectual capital, which is more commonly known as knowledge management (KM). There are basically three broad objectives of KM: leveraging the organisation’s knowledge; creating new knowledge or promoting innovation; and increasing collaboration and hence enhancing the skill level of employees. The most common KM programme involves development of a knowledge repository, and forming and nurturing of the communities of practice. These two, jointly, address all the three objectives of KM. Many organisations are embracing KM but few of them are able to implement it successfully to see the benefits. Implementation of KM is a strategic process and needs careful target setting and review. Organisations, which use balanced scorecard for strategy deployment, can effectively implement KM in their organisation by developing and deploying a KM index.

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Micro-droplet formation from an aperture with a diameter of micrometers is numerically investigated under the cross-flow conditions of an experimental microchannel emulsification process. The process involves dispersing an oil phase into continuous phase fluid through a microchannel wall made of apertured substrate. Crossflow in the microchannel is of non-Newtonian nature, which is included in the simulations. Micro-droplets of diameter 0.76-30 lm are obtained from the simulations for the apertures of diameter 0.1-10.0 lm. The simulation results show that rheology of the bulk liquid flow greatly affects the formation and size of droplets and that dispersed micro-droplets are formed by two different breakup mechanisms: in dripping regime and in jetting regime characterized by capillary number Ca. Relations between droplet size, aperture opening size, interfacial tension, bulk flow rheology, and disperse phase flow rate are discussed based on the simulation and the experimental results. Data and models from literature on membrane emulsification and T-junction droplet formation processes are discussed and compared with the present results. Detailed force balance models are discussed. Scaling factor for predicting droplet size is suggested.

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