work engagement literature has been dominated by quantitative research methods. this article aims to study work engagement antecedents using mixed-method sequential explanatory design. this design starts with the collection and analysis of quantitative data followed by the subsequent collection and analysis of qualitative data. the qualitative phase of the study was designed to incorporate the ...

This paper presents a design method of self-tuning Quantitative Feedback Theory (QFT) by using improved deadbeat control algorithm. QFT is a technique to achieve robust control with pre-defined specifications whereas deadbeat is an algorithm that could bring the output to steady state with minimum step size. Nevertheless, usually there are large peaks in the deadbeat response. By integrating QF...

Q uantitative theory uses simple, abstract economic models together with a small amount of economic data to highlight major economic mechanisms. To illustrate the methods of quantitative theory, we review studies of the production function by Paul Douglas, Robert Solow, and Edward Prescott. Consideration of these studies takes an important research area from its earliest days through contempora...

in despite of all progress in technology in mining industry, still labor is one of the key factors in mining operation. this paper presents a system dynamics approach to evaluate the mining labor productivity. therefore, after the identification of main effective variables, two quantitative and qualitative models were built. the qualitative model illustrates the complex interrelated structure o...

An important aspect of professional teaching practice is a practitioner's ability to critically evaluate the performances of subordinates for whom he or she is responsible. This is a common practice within social sciences as well as for professionals from applied specialties. The literature on professional clinical expertise identifies reflective practice as perfect when they are thoroughly acc...

A quantitative theory of abstraction is presented. The central feature of this is a growth formula defining the number of abstractions which may be formed by an individual agent in a given context. Implications of the theory for artificial intelligence and cognitive psychology are explored. Its possible applications to the issue of implicit v. explicit learning are also discussed.