while the growth of mis investment and its influence is making mis evaluation ever more indispensable, little attention has been paid to assessing and communicating system effectiveness. this paper attempts to empirically assess the effectiveness of integrated human resource information system in iranian oil industry. as suggested by recent research, the widely accepted is success model is ba...

one of important problems in supply chains management is supplier selection. in a company, there are massive data from various departments so that extracting knowledge from the company’s data is too complicated. many researchers have solved this problem by some methods like fuzzy set theory, goal programming, multi objective programming, the liner programming, mixed integer programming, analyti...

The article deals with the valuation of equity, in particular shares that cannot be valued on basis market data. clean surplus model is one models allows are not marketable. presents role accounting and theoretical foundations, as well concept assumptions model. related to financial research. In addition, can used confirm reliability figures.

Accurate and reliable air quality predictions are critical to the ecological environment public health. For traditional model fails make full use of high low frequency information obtained after wavelet decomposition, which easily leads poor prediction performance model. This paper proposes a hybrid based on data choosing decomposition (WD) generate high-frequency detail sequences WD(D) low-fre...

Background Type 2 diabetes is the most common metabolic disorder that has a lot of consequences on the quality of life in diabetic patients. Aim: To evaluate the effectiveness of interventions based on BASNEF model on quality of life in patients with type 2 diabetes. Methods: this before-and-after quasi-experimental study was performed on one group of 45 patients with type 2 diabetes, using con...

The era of BigData iswell underway. It presents, on the one hand, clear challenges to the discipline of statistics and to statisticians and, on the other hand, many opportunities for statistical scientists. We statisticians are challenged to show our leadership in what is clearly our traditional domain: data. At the same time Big Data offers many opportunities for statistical scientists to push...