Tutorial Installing Smartpls Software

Based on the information that contained on the smartpls websites, known that SmartPLS is a software application for (graphical) path modeling with latent variables (LVP). The partial least squares (PLS)-method is used for the LVP-analysis in this software.


In the download area, the first beta-version is accessible (free of charge). A registration is required! The following new features are presented in the new release SmartPLS 2.0 (beta):

• a completely re-engineered software application using the JAVA Eclipse Platform,

• the option to easily extend the functionality of SmartPLS by JAVA Eclipse Plug-ins, and

• a SmartPLS community to discuss all software and PLS related topics with other users and experts.

This is very useful software for do some research, especially if you want to do research in management. How to get this software? Based on information on the site, these are 4 steps how to get smartpls 2:

Step 1
Register with your TRUE IDENTITY in the SmartPLS Forum. You receive an E-Mail with your USSERNAME and PASSWORD.

Step 2
Your registration is CHECKED by the administrators. If approved (this is usually the case) your profile is ACTIVATED and you receive another E-Mail with your ACTIVATION KEY for the SmartPLS 2 software application.

Step 3
Log into the SmartPLS Forum (with your USSERNAME and PASSWORD) and get the SmartPLS 2 software application, sample data files, sample models as well as a video based user manual in the DOWNLOAD area.

Step 4
INSTALL/UNZIP the application on your computer system and START it. For the first start, you need to copy and paste your ACTIVATION KEY (that you received via E-Mail) into the SmartPLS 2 activation window.

Why register?

The SmartPLS community platform hosts different forums in order to provide information on SmartPLS and PLS-based LVP. These forums are not accessible for non registered persons. We insist on a “real world” user identity to ensure the professional and profound exchange of information.

Since summer 2010, the SmartPLS software application for PLS path modeling has more than 20,000 registered users.

If you want to register it now, kindly please click here
Till I post this article, I still try to understanding this software. One important thing before you run this application, you should have installing Java Environment on your computer or notebook. I try to search the handbook of smartpls on the internet. The best handbook of smartpls I will share it on my blog as soon as possible. Thanks

Introduction to Management Information System

Right now I will discuss and sharing to you about the Management Information System course. This course is taught at universities that have a major in management. Hopefully this simple article can give benefit to all of us.

What is The Meaning of System?
The system is an interconnected group of components, working together to achieve a common goal by accepting inputs and producing outputs in an orderly process of transformation.

Management Information System
Management Information System is a series of sub-systems are comprehensive and coordinated information that rationally able to transform that data into information in various ways to improve productivity in accordance with the style and nature of managers

Theoretically, the computer is not an absolute prerequisite for a Management Information System, but in practice seems to be a belief that a good Management Information System will not run smoothly without the help of the ability of a computer.

Download the full article of Management Information System (Introduction), click here

Simple Linear Regression

Regression analysis is a very valuable tool for today's manager. Regression has been used to model such things as the relationship between level of education and income, the price of a house and the square footage, and the sales volume for a company relative to the dollars spent on advertising. When business are trying to decide which location is best for a new store or branch office, regression models are often used. Cost estimation models are often regression models. The applicability of regression analysis virtually limitless.
There are generally two purposes for regression analysis. The first is to understand the relationship between variables such as advertising expenditures and sales. The second purposes is to predict the value of one variable based on the value of the other.
The simple linear regression model will first be developed, and then a more complex multiple regression model will be used to incorporate even more variables into our model. In any regression model, the variable to be predicted is called the dependent variable or response variable. The value of this is said to be dependent upon the value of an independent variable, which is sometimes called an explanatory variable or a predictor variable.
In any regression model, there is an implicit assumption (which can be tested) that a relationship exist between the variables. There is also some random error that cannot be predicted. The underlying simple linear regression model is:
Y = b0 + b1X + error

where:
Y = dependent variable (response variable)
X = independent variable (predictor variable or explanatory variable)
bo = intercept (value of Y when X = 0)
b1 = slope of regression line
error = random error
Download statistics handout of Simple Linear Regression, here. Full version and it's free.
Distance Learning Business and Management on Statistics object.