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RESEARCH METHODOLOGY USED TO COMPARE USE OF MIS IN MEDIUM AND LARGE SCALE
Basically, an organization is a group of people organized to achieve a common goal.
Organizations can vary in ranging in size from two people to hundreds of thousands.
Organizations have a common goal that is usually divided into various other goals that together will contribute to the achievement of a common goal organization.
An organization is a stable formal social structure that requires resources from the environment and processes them for results.
Information requirements are constantly changing depending on the size of the organization, its structure, culture to be followed, decision-making structures, etc.
The aim of the study is to compare the adoption and use of the Management Information System in the environment large-scale and large organizations.
These organizations were selected on the basis of various parameters such as the number of employed employees, the total staff turnover, productivity, the number of shifts in the company runs, etc.
Development of long-term tariff plans MIS
Data processing: Data processing is the process of converting data into information or
knowledge. It is usually assumed that the processing is automated and carried out on
a computer. Because data is most useful when it is well presented and truly informative,
data processing systems are often referred to as information systems to emphasize their
practicality. However, both terms are roughly synonymous, performing similar
conversions; data processing systems usually convert raw data into information, and
similarly, information systems usually take raw data as input to obtain information in the form
output. Data processing consists in the fact that the company has collected a lot of data concerning
aspect of its operations and that this set of data should be presented in a meaningful way,
handy presentations for managers who then have to use this information to
increase income or decrease cost. It transforms and represents the data as
information is usually executed by a data processing application.
Information processing: information processing is change or processing
information in any way accessible to the observer. Information processing can do more
Claude E. Shannon defined, in particular, as a transformation of the latent
information into manifest information. Identified hidden and explicit information
in terms of ambiguity, remaining uncertainty, what value the sender has
actually chosen, the diffused uncertainty of the sender, what the recipient really is
gained and saved interrogation effort – ambiguity minus absent-mindedness.
Practical information processing can be described as a cycle in which data that may have
no intrinsic meaning to the observer is converted into information that really matters
meaning to the observer.
Different data collection methods
The choice of method will have influence on the quality of information.
The data collection method has been developed in a similar way.
Also determines the quality of data and information.
Data collection methods and processing becomes part of the MIS. There are various methods for collecting data.
Observation, experiment, survey and subjective assessment are the methods chosen to collect data and information.
About a specific problem, and the rest of the methods are chosen to collect data on routine basis without any particular problems.
The following are the methods for
collecting data:
- Observation
- Experiment
- Survey
- Subjective assessment
- Transaction processing
- Purchase from outside
- Publication
- Government agencies.
Scalability and real-time performance
To meet the requirements of an Internet application, RS must be scalable and capable of
work in real time even for very large tasks. For example, the recommendation system connected
a large website should give each recommendation within a few tens of milliseconds in service
thousands of consumers at the same time looking for potentially millions of possible products
configuration.
The benefits of talking outweigh the costs
People only use information if it is perceived as adding value or reducing costs. If (expected)
the costs exceed the (expected) benefits at any given moment, there is a clear risk that the client will interrupt the dialogue.
Thus, the criterion for a successful conversation is that site visitors constantly receive some benefit during,
not only after, interaction / dialogue.
Intelligence
He must know what information that people can reliably provide and how to successfully extract that information from customers.
Consumers can usually say what they need or want from a product, and can often articulate personal preferences such as style and color.
They may have difficulty specifying product characteristics.
Intelligence can also be demonstrated by prompting users with needs that can to be overlooked.
Such needs may include the needs of others, future needs and unforeseen needs.
Intelligence manifests itself in many small manifestations, such as clearly remembering the answer from the previous request and including it in the next question.
It could also be paraphrasing questions to reflect the level of knowledge of the consumer in the subject area.
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