Management information
systems encompass a broad and complex topic. To make this topic more
manageable, boundaries will be defined. First, because of the vast number of activities
relating to management information systems, a total review is not possible.
Those discussed here is only a partial sampling of activities, reflecting the
author's viewpoint of the more common and interesting developments. Likewise
where there were multiple effects in a similar area of development, only
selected ones will be used to illustrate concepts. This is not to imply one
effort is more important than another. Also, the main focus of this paper will
be on information systems for use at the farm level and to some lesser extent
systems used to support researchers addressing farm level problems (e.g.,
simulation or optimization models, geographic information systems, etc.) and
those used to support agribusiness firms that supply goods and services to
agricultural producers and the supply chain beyond the production phase
Secondly, there are
several frameworks that can be used to define and describe management
information systems. More than one will be used to discuss important concepts.
Because more than one is used, it indicates the difficult of capturing the key
concepts of what is a management information system. Indeed, what is viewed as
an effective and useful management information system is one environment may
not be of use or value in another.
Lastly, the historical
perspective of management information systems cannot be ignored. This
perspective gives a sense of how these systems have evolved, been refined and
adapted as new technologies have emerged, and how changing economic conditions
and other factors have influenced the use of information systems.
Before discussing
management information systems, some time-tested concepts should be reviewed.
Davis offers a commonly used concept in his distinction between data and
information. Davis defines data as raw facts, figures, objects, etc.
Information is used to make decisions. To transform data into information,
processing is needed and it must be done while considering the context of a
decision. We are often awash in data but lacking good information. However, the
success achieved in supplying information to decision makers is highly
variable. Barabba, expands this concept by also adding inference, knowledge and
wisdom in his modification of Haechel's hierarchy which places wisdom at the highest
level and data at the lowest. As one moves up the hierarchy, the value is
increased and volume decreased. Thus, as one acquires knowledge and wisdom the
decision making process is refined. Management information systems attempt to
address all levels of Haechel's hierarchy as well as converting data into
information for the decision maker. As both Barabba and Haechel argue, however,
just supplying more data and information may actually be making the decision
making process more difficult. Emphasis should be placed on increasing the
value of information by moving up Haechel's hierarchy.
Another important concept
from Davis and Olsen is the value if information. They note that “in general,
the value of information is the value of the change in decision behavior caused
by the information, less the cost of the information.” This statement implies
that information is normally not a free good. Furthermore, if it does not
change decisions to the better, it may have no value. Many assume that
investing in a “better” management information system is a sound economic
decision. Since it is possible that the better system may not change decisions
or the cost of implementing the better system is high to the actual realized
benefits, it could be a bad investment. Also, since before the investment is
made, it is hard to predict the benefits and costs of the better system, the
investment should be viewed as one with risk associated with it.
Reference
Stephen B. Harsh, Department of Agricultural Economics
Michigan State University, 2019
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