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490 Part Three  Key System Applications for the Digital Age


                                   Real-World Decision Making
                                   We now see that information systems are not helpful for all managerial roles.
                                   And in those managerial roles where information systems might improve
                                     decisions, investments in information technology do not always produce
                                     positive results. There are three main reasons: information quality, manage-
                                   ment filters, and organizational culture (see Chapter 3).
                                   Information Quality.  High-quality decisions require high-quality informa-
                                   tion. Table 12.3 describes information quality dimensions that affect the quality
                                   of decisions.
                                     If the output of information systems does not meet these quality criteria,
                                   decision-making will suffer. Chapter 6 has shown that corporate databases and
                                   files have varying levels of inaccuracy and incompleteness, which in turn will
                                   degrade the quality of decision making.
                                   Management Filters.  Even with timely, accurate information, some manag-
                                   ers make bad decisions. Managers (like all human beings) absorb information
                                   through a series of filters to make sense of the world around them. Managers
                                   have selective attention, focus on certain kinds of problems and solutions, and
                                   have a variety of biases that reject information that does not conform to their
                                   prior conceptions.
                                     For instance, Wall Street firms such as Bear Stearns and Lehman Brothers
                                   imploded in 2008 because they underestimated the risk of their investments
                                   in complex mortgage securities, many of which were based on subprime loans
                                   that were more likely to default. The computer models they and other financial
                                   institutions used to manage risk were based on overly optimistic assumptions
                                   and overly simplistic data about what might go wrong. Management wanted
                                   to make sure that their firms’ capital was not all tied up as a cushion against
                                   defaults from risky investments, preventing them from investing it to generate
                                   profits. So the designers of these risk management systems were encouraged
                                   to measure risks in a way that minimzed their importance. Some trading desks
                                   also oversimplified the information maintained about the mortgage securities
                                   to make them appear as simple bonds with higher ratings than were warranted
                                   by their underlying components.
                                   Organizational Inertia and Politics.  Organizations are bureaucracies
                                   with  limited capabilities and competencies for acting decisively. When
                                     environments change and businesses need to adopt new business models to



                                   TABLE 12.3  INFORMATION QUALITY DIMENSIONS

                                   QUALITY DIMENSION     DESCRIPTION
                                   Accuracy              Do the data represent reality?

                                   Integrity             Are the structure of data and relationships among the entities and
                                                         attributes consistent?
                                   Consistency           Are data elements consistently defined?

                                   Completeness          Are all the necessary data present?
                                   Validity              Do data values fall within defined ranges?
                                   Timeliness            Area data available when needed?

                                   Accessibility         Are the data accessible, comprehensible, and usable?









   MIS_13_Ch_12 global.indd   490                                                                             1/17/2013   2:30:30 PM
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