The aim of this paper is to explore how Total Quality Management (TQM) can act as a foundation and key catalyst for developing Sustainable Management and Corporate Social Responsibility (CSR) within Public Organizations. In the public sector we have too often experienced low quality services,...

D. V. Luu and P. T. Kien propose in Soochow J. Math. 33 (2007), 17-31, higher-order conditions for strict efficiency of vector optimization problems based on the derivatives introduced by I. Ginchev in Optimization 51 (2002), 47-72. These derivatives are defined for scalar functions and in their...

Contemporary monetary theory, by accepting the theses of the Loanable funds theory, distances itself from Keynes, who considered the rate of interest as an exclusively monetary phenomenon, and overlooks the arguments Keynes used, following publication of the General Theory, to respond to the...

This paper introduces the Parallel Hierarchical Sampler (PHS), a class of Markov chain Monte Carlo algorithms using several interacting chains having the same target distribution but different mixing properties. Unlike any single-chain MCMC algorithm, upon reaching stationarity one of the PHS...

We propose a general purpose variance reduction technique for Markov Chain Monte Carlo estimators based on the Zero-Variance principle introduced in the physics literature by Assaraf and Caarel ( 1999). The potential of the new idea is illustrated with some toy examples and a real application to...

Using qualitative methodology, we aim to understand how serial entrepreneurs can foster the development of born-global ventures. We consider a born-global start-up as the final stage of the learning process for a serial entrepreneur, advancing propositions regarding the importance of prior...

Using qualitative methodology, we aim to understand how serial entrepreneurs can foster the development of born-global ventures. We consider a born-global start-up as the final stage of the learning process for a serial entrepreneur, advancing propositions regarding the importance of prior...

Ways of improving the efficiency of Monte-Carlo (MC) techniques are studied for dynamic models. Such models cause the conventional Antithetic Variate (AV) technique to fail, and will be proved to reduce the benefit from using Control Variates with nearly nonstationary series. This paper suggests...

Let X be a real linear space, X0 - X a convex set, Y and Z topological real linear spaces. The constrained optimization problem minCf(x), g(x) 2 -K is considered, where f : X0 ! Y and g : X0 ! Z are given (nonsmooth) functions, and C - Y and K - Z are closed convex cones. The weakly efficient...