PURCHASE DECISION

Purchase Decision

Purchase Decision

Introduction

A great deal of time and effort is directed to the task of physical layout. Many product placement decisions are made based upon estimates of consumer behavior in an effort to place products in a location that maximizes the likelihood that they will be observed and purchased by a customer. Consider the example of a retail pharmacy, for example. In many pharmacies, prescription medicines are dispensed in the rear of the pharmacies' physical plant. This physical layout is not accidental; the layout is premised on an assumption that customers enter pharmacies in order to purchase prescription medicines. By dispensing prescription medicines in the rear of the pharmacies' physical plant, the pharmacy requires customers to pass through the interior of the store where they may observe other products offered by the store. In theory, it raises the probability that the customers will make impulse purchases of other items. This arrangement is predicated on an assumption that customers enter pharmacies to buy prescription medicines.

It is a difficult and expensive task to determine how consumers decide to buy particular goods or services ("products")(Luftman Bullen Liao Neumann 2004). Retailers spend great sums of money commissioning studies and other investigations to determine why a customer entered a particular store or why the customer determined to purchase particular products. Some consider surveys of customers to be unreliable. The mere fact that a customer is questioned about his buying habits tends to skew the survey results because, by questioning the customer directly, the customer ceases to think intuitively. Instead, the customer may over-think a purchasing decision. Additionally, only a small sample of the buying public may be surveyed with reasonable cost. There can be no guarantee that the survey will accurately reflect the buying decisions of the public at large particularly when buying decisions reflect impulsive behavior.

Buying a Server

Server is the most powerful and fastest, and also very expensive machine. It is used to process large amount of data and to solve the complicated scientific problems.  The severs computers are used in large organization such as Banks, Airlines and Universities, that it is a big decision for organization to buy a proper server machine according to their need. Server databases contain mechanisms to ensure the reliability and consistency of data and are geared toward multi-user applications. These databases are designed to run on high-performance servers and carry a correspondingly higher price tag. (Morgan 2006)

It's important to do a careful needs analysis before you dive in and commit to a database solution. You'll often find that a desktop database is suitable for your business requirements when you originally planned to purchase an expensive server-based solution. You may also uncover hidden requiremests that necessitate the deployment of a scalable server-based database.

The needs analysis process will be specific to your organization but, at a minimum, should answer the following questions:

Who will be using the database and what tasks will they perform?

How often will the data be modified? Who will make these modifications?

Who ...