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Information management

About: Information management is a research topic. Over the lifetime, 26202 publications have been published within this topic receiving 365139 citations. The topic is also known as: IM.


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Journal Article
TL;DR: The authors warn that knowledge management should not be isolated in a functional department like HR or IT, and emphasize that the benefits are greatest when a CEO and other general managers actively choose one of the approaches as a primary strategy.
Abstract: The rise of the computer and the increasing importance of intellectual assets have compelled executives to examine the knowledge underlying their businesses and how it is used. Because knowledge management as a conscious practice is so young, however, executives have lacked models to use as guides. To help fill that gap, the authors recently studied knowledge management practices at management consulting firms, health care providers, and computer manufacturers. They found two very different knowledge management strategies in place. In companies that sell relatively standardized products that fill common needs, knowledge is carefully codified and stored in databases, where it can be accessed and used--over and over again--by anyone in the organization. The authors call this the codification strategy. In companies that provide highly customized solutions to unique problems, knowledge is shared mainly through person-to-person contacts; the chief purpose of computers is to help people communicate. They call this the personalization strategy. A company's choice of knowledge management strategy is not arbitrary--it must be driven by the company's competitive strategy. Emphasizing the wrong approach or trying to pursue both can quickly undermine a business. The authors warn that knowledge management should not be isolated in a functional department like HR or IT. They emphasize that the benefits are greatest--to both the company and its customers--when a CEO and other general managers actively choose one of the approaches as a primary strategy.

4,558 citations

Book
01 Jan 1954
TL;DR: A classic since its publication in 1954, The Practice of Management was the first book to look at management as a whole and being a manager as a separate responsibility as mentioned in this paper. And it remains an essential book for students, aspiring managers and seasoned professionals.
Abstract: A classic since its publication in 1954, The Practice of Management was the first book to look at management as a whole and being a manager as a separate responsibility. The Practice of Management created the discipline of modern management practices. Readable, fundamental, and basic, it remains an essential book for students, aspiring managers, and seasoned professionals.

3,883 citations

Journal ArticleDOI
TL;DR: Adaptive structuration theory (AST) as mentioned in this paper examines the change process from two vantage points: (1) the types of structures that are provided by advanced technologies, and (2) the structures that actually emerge in human action as people interact with these technologies.
Abstract: The past decade has brought advanced information technologies, which include electronic messaging systems, executive information systems, collaborative systems, group decision support systems, and other technologies that use sophisticated information management to enable multiparty participation in organization activities. Developers and users of these systems hold high hopes for their potential to change organizations for the better, but actual changes often do not occur, or occur inconsistently. We propose adaptive structuration theory (AST) as a viable approach for studying the role of advanced information technologies in organization change. AST examines the change process from two vantage points: (1) the types of structures that are provided by advanced technologies, and (2) the structures that actually emerge in human action as people interact with these technologies. To illustrate the principles of AST, we consider the small group meeting and the use of a group decision support system (GDSS). A GDS...

3,756 citations

Journal ArticleDOI
TL;DR: The author discusses the pros and cons of implementing an enterprise system, showing how a system can produce unintended and highly disruptive consequences and cautions against shifting responsibility for its adoption to technologists.
Abstract: Enterprise systems present a new model of corporate computing. They allow companies to replace their existing information systems, which are often incompatible with one another, with a single, integrated system. By streamlining data flows throughout an organization, these commercial software packages, offered by vendors like SAP, promise dramatic gains in a company's efficiency and bottom line. It's no wonder that businesses are rushing to jump on the ES bandwagon. But while these systems offer tremendous rewards, the risks they carry are equally great. Not only are the systems expensive and difficult to implement, they can also tie the hands of managers. Unlike computer systems of the past, which were typically developed in-house with a company's specific requirements in mind, enterprise systems are off-the-shelf solutions. They impose their own logic on a company's strategy, culture, and organization, often forcing companies to change the way they do business. Managers would do well to heed the horror stories of failed implementations. FoxMeyer Drug, for example, claims that its system helped drive it into bankruptcy. Drawing on examples of both successful and unsuccessful ES projects, the author discusses the pros and cons of implementing an enterprise system, showing how a system can produce unintended and highly disruptive consequences. Because of an ES's profound business implications, he cautions against shifting responsibility for its adoption to technologists. Only a general manager will be able to mediate between the imperatives of the system and the imperatives of the business.

3,681 citations

Journal Article
TL;DR: Big data, the authors write, is far more powerful than the analytics of the past, and executives can measure and therefore manage more precisely than ever before, and make better predictions and smarter decisions.
Abstract: Big data, the authors write, is far more powerful than the analytics of the past. Executives can measure and therefore manage more precisely than ever before. They can make better predictions and smarter decisions. They can target more-effective interventions in areas that so far have been dominated by gut and intuition rather than by data and rigor. The differences between big data and analytics are a matter of volume, velocity, and variety: More data now cross the internet every second than were stored in the entire internet 20 years ago. Nearly real-time information makes it possible for a company to be much more agile than its competitors. And that information can come from social networks, images, sensors, the web, or other unstructured sources. The managerial challenges, however, are very real. Senior decision makers have to learn to ask the right questions and embrace evidence-based decision making. Organizations must hire scientists who can find patterns in very large data sets and translate them into useful business information. IT departments have to work hard to integrate all the relevant internal and external sources of data. The authors offer two success stories to illustrate how companies are using big data: PASSUR Aerospace enables airlines to match their actual and estimated arrival times. Sears Holdings directly analyzes its incoming store data to make promotions much more precise and faster.

3,616 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202333
202289
2021469
2020632
2019807
2018924