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Information management (IM) is the collection and management of information from one or more sources and the distribution of that information to one or more audiences. This sometimes involves those who have a stake in, or a right to that information. Management means the organization of and control over the planning, structure and organisation, controlling, processing, evaluating and reporting of information activities in order to meet client objectives and to enable corporate functions in the delivery of information.
Throughout the 1970s this was largely limited to files, file maintenance, and the life cycle management of paper-based files, other media and records. With the proliferation of information technology starting in the 1970s, the job of information management took on a new light, and also began to include the field of data maintenance. No longer was information management a simple job that could be performed by almost anyone. An understanding of the technology involved, and the theory behind it became necessary. As information storage shifted to electronic means, this became more and more difficult. By the late 1990s when information was regularly disseminated across computer networks and by other electronic means, network managers, in a sense, became information managers. Those individuals found themselves tasked with increasingly complex tasks, hardware and software. With the latest tools available, information management has become a powerful resource and a large expense, as well as risk, for many organizations.
In short, information management entails organizing, retrieving, acquiring, securing and maintaining information. It is closely related to and overlapping with the practice of data management.
- 1 Information management concepts
- 2 Information management complexities
- 2.1 Reduction of information processing needs
- 2.2 Increasing the organizational information processing capacity
- 3 See also
- 4 References
- 5 External links
Information management concepts
Following the behavioral science theory of management, mainly developed at Carnegie Mellon University and prominently represented by Barnard, Richard M. Cyert, March and Simon, most of what goes on in service organizations is actually decision making and information processes. The crucial factor in the information and decision process analysis is thus individuals’ limited ability to process information and to make decisions under these limitations.
According to March and Simon, organizations have to be considered as cooperative systems with a high level of information processing and a vast need for decision making at various levels. They also claimed that there are factors that would prevent individuals from acting strictly rationally, in opposite to what has been proposed and advocated by classic theorists.
Instead of using the model of the economic man, as advocated in classic theory, they proposed the administrative man as an alternative based on their argumentation about the cognitive limits of rationality.
While the theories developed at Carnegie Mellon clearly filled some theoretical gaps in the discipline, March and Simon did not propose a certain organizational form that they considered especially feasible for coping with cognitive limitations and bounded rationality of decision-makers. Through their own argumentation against normative decision-making models, i.e., models that prescribe people how they ought to choose, they also abandoned the idea of an ideal organizational form.
In addition to the factors mentioned by March and Simon, there are two other considerable aspects, which stem from environmental and organizational dynamics. Firstly, it is not possible to access, collect and evaluate all environmental information being relevant for taking a certain decision at a reasonable price, i.e., time and effort. In other words, following a national economic framework, the transaction cost associated with the information process is too high. Secondly, established organizational rules and procedures can prevent the taking of the most appropriate decision, i.e., that a sub-optimum solution is chosen in accordance to organizational rank structure or institutional rules, guidelines and procedures, an issue that also has been brought forward as a major critique against the principles of bureaucratic organizations.
According to the Carnegie Mellon School and its followers, information management, i.e., the organization's ability to process information, is at the core of organizational and managerial competencies. Consequently, strategies for organization design must be aiming at improved information processing capability. Jay Galbraith has identified five main organization design strategies within two categories – increased information processing capacity and reduced need for information processing.
- Reduction of information processing needs
- Increasing the organizational information processing capacity
Information management complexities
Organizations are often confronted with many information management challenges and issues. In the past decade, the progression of electronic information over the old paper filing system has been preferred. Lack of experience and knowledge of proper information management, a business could end up going out of business. The challenging issue is preexisting information businesses not wanting to change their old ways. As a result, the following challenges can concur:
- Lack of resources for organizing, managing or improving information systems.
- Lack of definitions for information types and values enterprise wise.
- Little to no appreciation and support of information management by senior management.
- Internal business politics affecting on the ability to organize activities enterprise wide.
- Poor quality of information, such as lack of consistency, repetition, and out of date information.
- Old systems are obsolete requiring replacement or upgrading.
- Large quantity of disperse information management systems.
- Lack of synchronization between information systems.
- Competition between information management systems.
- Lack of strategic path on the management of information systems.
- Lack of clarity of organizational strategies and goals.
- Various number of diverse business issues and needs that have not been addressed.
- Limited staff to run existing information systems.
- Hitches in shifting old working practices and processes of staff.
Though this list may be very large, it can help businesses improve information management systems. These applied ways of conveying solutions are most effective when all complexities have been addressed.
Reduction of information processing needs
An Environmental Management System (EMS) is a framework that helps a company achieve its environmental goals through consistent control of its operations. The assumption is that this increased control will improve the environmental performance of the company. The EMS itself does not dictate a level of environmental performance that must be achieved; each company's EMS is tailored to the company's business and goals. Basic Elements of an EMS:
Reviewing the company's environmental goals Analyzing its environmental impacts and legal requirements Setting environmental objectives and targets to reduce environmental impacts and comply with legal requirements Establishing programs to meet these objectives and targets Monitoring and measuring progress in achieving the objectives Ensuring employees' environmental awareness and competence Reviewing progress of the EMS and making improvements
Instead of adapting to changing environmental circumstances, the organization can seek to modify its environment. Vertical and horizontal collaboration, i.e. cooperation or integration with other organizations in the industry value system are typical means of reducing uncertainty. An example of reducing uncertainty in relation to the prior or demanding stage of the industry system is the concept of Supplier-Retailer collaboration or Efficient Customer Response.
Creation of slack resources
In order to reduce exceptions, performance levels can be reduced, thus decreasing the information load on the hierarchy. These additional slack resources, required to reduce information processing, represent an additional cost to the organization. The choice of this method depends on the alternative costs of other strategies.
Creation of self-contained tasks
Achieving a conceptual closure of tasks is another way of reducing information processing. In this case, the task-performing unit has all the resources required to perform the task. This approach is concerned with task (de-)composition and interaction between different organizational units, i.e. organizational and information interfaces.
Increasing the organizational information processing capacity
Creation of lateral relations
In this case, lateral decision processes are established that cut across functional organizational units. The aim is to apply a system of decision subsidiarity, i.e. to move decision power to the process, instead of moving information from the process into the hierarchy for decision-making.
Investment in vertical information systems
Instead of processing information through the existing hierarchical channels, the organization can establish vertical information systems. In this case, the information flow for a specific task (or set of tasks) is routed in accordance to the applied business logic, rather than the hierarchical organization.
Following the lateral relations concept, it also becomes possible to employ an organizational form that is different from the simple hierarchical information. The Matrix organization is aiming at bringing together the functional and product departmental bases and achieving a balance in information processing and decision making between the vertical (hierarchical) and the horizontal (product or project) structure. The creation of a matrix organization can also be considered as management's response to a persistent or permanent demand for adaptation to environmental dynamics, instead of the response to episodic demands.
- Controlled vocabulary
- Data flow diagram
- Data maintenance
- Data management
- Data Smog (book)
- Digital Continuity
- Document management
- Documentation Standards
- Enterprise bookmarking
- Content management
- Glut: Mastering Information Through The Ages (book)
- Information continuum
- Information governance
- Knowledge Balance Sheet
- Knowledge management
- Operations research
- Personal information management
- Personal knowledge management
- Systems analysis
- March, James G. and Simon, Herbert A. (1958),Pradeep praduman wg (2008) Organizations, John Wiley & Sons
- Hedberg, Bo (1981), "How organizations learn and unlearn", in: Nyström, P.C. & Starbuck, W.H., Handbook of Organizational Design, Oxford University Press
- Mackenzie K.D. (1978), Organizational Structures, AHM Publishing Corporation
- Mullins, L.J (1993), Management and Organizational Behaviours, 3rd ed., Pitman Publishing
- Wigand, Rolf T., Picot, Arnold and Reichwald, Ralf (1997), Information, Organization and Management: Expanding Markets and Corporate Boundaries, Wiley & Sons
- Galbraith, Jay R. p. 49 ff. (1977), Organization Design, Addison-Wesley
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