No abstract

Purpose The purpose of this paper is to demonstrate the applications of big data in personal knowledge management (PKM). Design/methodology/approach Five conventional knowledge management dimensions, namely, the value of data, data collection, data storage, data application and data presentation, were applied for integrating big data in the context of PKM. Findings This study concludes that time management, computer usage efficiency management, mobile device usage behavior management, health management and browser surfing management are areas where big data can be applied to PKM. Originality/value While the literature discusses PKM without considering the impact of big data, this paper aims to extend existing knowledge by demonstrating the application of big data in PKM.

The ultrafast dynamics of hot carriers in graphene are key to both understanding of fundamental carrier-carrier interactions and carrier-phonon relaxation processes in two-dimensional materials, and understanding of the physics underlying novel high-speed electronic and optoelectronic devices. Many recent experiments on hot carriers using terahertz spectroscopy and related techniques have interpreted the variety of observed signals within phenomenological frameworks, and sometimes invoke extrinsic effects such as disorder. Here, we present an integrated experimental and theoretical programme, using ultrafast timeresolved terahertz spectroscopy combined with microscopic modelling, to systematically investigate the hot-carrier dynamics in a wide array of graphene samples having varying amounts of disorder and with either high or low doping levels. The theory reproduces the observed dynamics quantitatively without the need to invoke any fitting parameters, phenomenological models or extrinsic effects such as disorder. We demonstrate that the dynamics are dominated by the combined effect of efficient carrier-carrier scattering, which maintains a thermalized carrier distribution, and carrier-optical-phonon scattering, which removes energy from the carrier liquid.

capacity development, corporate social responsibility implementation, collective action, corporate citizenship, enabling environment, collaborative capacity, organizational capacity,

Since Apple merged with AuthenTec, a leading fingerprint recognition company, in 2012, biometrics has widely been considered to strengthen security and privacy in the network security field. Although biometrics has been applied in specific areas for decades, it has gradually proliferated in customer and mobile electronic products to enhance security and privacy. This study aims to evaluate biometrics through conventional technology assessment considerations combined with viewpoints on the specifics of biometric technologies and then to provide suggestions for selection. To conduct the biometric technology assessment, the fuzzy analytic hierarchy process and non-fuzzy best performance approaches are used. Although the outcomes first indicate that technology assessment should be the key object in selecting biometric technologies, that object is followed by biometric competence and key elements of biometrics. The outcomes also indicate that features of the target technologies should be considered when evaluating them. Additionally, fingerprint recognition, iris recognition, and face recognition are the preferred biometrics in evaluation and selection.