The Difference that Makes a Difference: Distinguishing between Knowledge Management and Information Management in the U.S. Army

2011 ◽  
Author(s):  
Patrick K. Sullivan
Keyword(s):  
Knowledge Management ◽  
Information Management ◽  
The Difference ◽  
The U.S

Knowledge management and information management: A tale of two siblings

2020 ◽  
Vol 37 (2) ◽  
pp. 69-77
Author(s):  
Judy Payne ◽  
Jonathan Fryer
Keyword(s):  
Knowledge Management ◽  
Adverse Effects ◽  
Tacit Knowledge ◽  
Information Management ◽  
Future Development ◽  
Codified Knowledge ◽  
Current State ◽  
The Difference ◽  
The Way

Confusion has long existed between knowledge management (KM) and information management (IM). To the uninitiated, the difference between KM and IM is unclear – largely because there are no universally accepted definitions of ‘knowledge’ and ‘information’. But the confusion is not limited to the uninitiated. KM and IM specialists argue over the meaning of explicit and tacit knowledge, over the difference between information and data, and over the difference between codified knowledge and information. Why? And does any of this matter? This article explores the confusion between KM and IM by reflecting on the origins, development and current state of the two disciplines. The words we use to think and talk about KM and IM directly influence the way we practise KM and IM: and in some contexts, confusion between KM and IM has serious adverse effects on understanding and practice. The solution might lie in closer future development of the two disciplines – as long as practitioners appreciate that KM and IM are distinct but complementary, we talk to each other, and we pay attention to the words we use.

scholarly journals Gestão da informação e gestão do conhecimento na prática organizacional: análise de estudos de casos Information management and knowledge management in the organizational practice: cases’ studies analysis

2011 ◽  
Vol 8 (2) ◽  
pp. 1 ◽  
Author(s):  
Fabiana Borelli Amorim ◽  
Maria Inês Tomaél
Keyword(s):  
Knowledge Management ◽  
Literature Review ◽  
Information Management ◽  
Management Practices ◽  
Organizational Practice ◽  
Corporate University ◽  
Management Knowledge ◽  
The Difference ◽  
Book Knowledge

Estudos sobre gestão de conhecimento (GC) e gestão da informação (GI) vêm sendo apresentados em profusão na literatura. Diversas discussões emergem a respeito das principais divergências e convergências destes conceitos, mas na prática a distinção ainda é bastante confusa. Desta forma, a proposta deste estudo é identificar as principais características de GC e de GI, por meio da literatura e pela análise de estudos de caso de empresas brasileiras apresentados no livro Gestão do Conhecimento no Brasil, organizado por Angeloni (2008). Os resultados demonstram e exemplificam a adoção de várias práticas de gestão como: lista de discussões, universidade corporativa, compartilhamento de conhecimento e experiências, entre outras, que em alguns casos culminaram na Gestão do Conhecimento.AbstractStudies about knowledge management (KM) and information management (IM) have been presented in great quantity in the literature nowadays. There are several discussions regarding the main divergences and convergences of these concepts, but in practice the difference is still quite confused. This way, the proposal of this study is to identify the main characteristics of KM and IM, through the literature review and by analysis of compared Brazilian companies’ casse presented in the book Knowledge Management in Brazil, organized by Angeloni (2008). The results demonstrate and exemplify the adoption of several management practices like: list of discussions, corporate university, knowledge and experiences sharing, among others, that in some cases resulted in Knowledge Management.Keywords: Information management; Knowledge management; Organizational practice

Eve Kosofsky Sedgwick and the difference geography makes

2021 ◽  
Vol 11 (1) ◽  
pp. 117-121 ◽  
Author(s):  
David K Seitz
Keyword(s):  
Time And Space ◽  
Textual Practice ◽  
Reparative Reading ◽  
The Difference ◽  
The U.S ◽  
Eve Kosofsky Sedgwick

Ruez and Cockayne point out that queer theorist Eve Sedgwick’s reflections on paranoid and reparative readings accompanying one another came directly out of her queer political as well as textual practice in the U.S. Wrongly dismissed as mundane, this crucial contextualizing work is something geographers do especially well. Indeed, understanding the context for Sedgwick’s theories of paranoid and reparative reading is vital as we reflect on how her concepts travel across time and space.

Equal Opportunity in a Pluralistic Society

1987 ◽  
Vol 5 (1) ◽  
pp. 104-119 ◽  
Author(s):  
James W. Nickel
Keyword(s):  
United States ◽  
Religious Pluralism ◽  
Equal Opportunity ◽  
Religious Diversity ◽  
The United States ◽  
Pluralistic Society ◽  
Self Image ◽  
The Difference ◽  
The U.S

The United States has never been culturally or religiously homogeneous, but its diversity has greatly increased over the last century. Although the U.S. was first a multicultural nation through conquest and enslavement, its present diversity is due equally to immigration. In this paper I try to explain the difference it makes for one area of thought and policy – equal opportunity – if we incorporate cultural and religious pluralism into our national self-image. Formulating and implementing a policy of equal opportunity is more difficult in diverse, pluralistic countries than it is in homogeneous ones. My focus is cultural and religious diversity in the United States, but my conclusions will apply to many other countries – including ones whose pluralism is found more in religion than in culture.

The Knowledge Management Information Landscape — Awareness, Access, Use and Value of Sources

2015 ◽  
Vol 14 (02) ◽  
pp. 1550002 ◽  
Author(s):  
Denise A. D. Bedford
Keyword(s):  
Knowledge Management ◽  
Information Management ◽  
Critical Component ◽  
Management Information ◽  
Specific Knowledge ◽  
Public Survey ◽  
Knowledge Organisation ◽  
Information Awareness ◽  
Information Valuation ◽  
Information Landscape

Information landscape is a critical component of professional and scholarly disciplines. Established disciplines have a managed information foundation covering primary, secondary and tertiary sources, targeted search capabilities, discipline-specific knowledge organisation tools and services, and quality controlled review processes. The information landscapes of emerging disciplines may be more chaotic and unsettled, and present challenges for professionals. This research considers the information landscape of the knowledge management discipline. An open public survey of knowledge professionals provides insights into three factors that affect the landscape including: (1) information awareness; (2) information use and access; and (3) information valuation. Findings highlight key information management challenges, and offer suggestions for solutions.

A Law Firm Librarian's Guide to KM

2016 ◽  
Vol 16 (3) ◽  
pp. 131-137 ◽  
Author(s):  
Hélène Russell
Keyword(s):  
Knowledge Management ◽  
Information Management ◽  
Law Firm ◽  
Business Goals ◽  
Information Professionals

AbstractThis article is written by Hélène Russell, author and teacher in the field of legal sector Knowledge Management. It presents an easy to read foundation level guide to legal sector Knowledge Management for law firm Information Professionals. It explains what Knowledge is, what Knowledge Management (KM) is, how it differs from Information Management (IM) and how law firm Information Professionals can expand their roles to help their organisations meet business goals through strategic KM as well as IM, or manage an imposed transition from IM to IM+KM.

scholarly journals What’s Your Street Race? The Urgency of Critical Race Theory and Intersectionality as Lenses for Revising the U.S. Office of Management and Budget Guidelines, Census and Administrative Data in Latinx Communities and Beyond

Genealogy ◽  
2021 ◽  
Vol 5 (3) ◽  
pp. 75
Author(s):  
Nancy López ◽  
Howard Hogan
Keyword(s):  
Critical Race Theory ◽  
Administrative Data ◽  
Skin Color ◽  
Racial Justice ◽  
Critical Race ◽  
Race Theory ◽  
Disciplinary Boundaries ◽  
The Difference ◽  
Structural Inequities ◽  
The U.S

What’s your street race? If you were walking down the street what race do you think strangers would automatically assume you are based on what you look like? What is the universe of data and conceptual gaps that complicate or prevent rigorous data collection and analysis for advancing racial justice? Using Latinx communities in the U.S. as an example, we argue that scholars, researchers, practitioners and communities across traditional academic, sectoral and disciplinary boundaries can advance liberation by engaging the ontologies, epistemologies and conceptual guideposts of critical race theory and intersectionality in knowledge production for equity-use. This means not flattening the difference between race (master social status and relational positionality in a racially stratified society based on the social meanings ascribed to a conglomeration of one’s physical characteristics, including skin color, facial features and hair texture) and origin (ethnicity, cultural background, nationality or ancestry). We discuss the urgency of revising the U.S. Office of Management and Budget (OMB) standards, as well as the Census and other administrative data to include separate questions on self-identified race (mark all that apply) and street race (mark only one). We imagine street race as a rigorous “gold standard” for identifying and rectifying racialized structural inequities.

scholarly journals ‘B-M MODEL’ FOR FARMERS’ KNOWLEDGE MANAGEMENT IN INCREASING RICE PRODUCTION

2021 ◽  
Vol 2 (1) ◽  
pp. 30-45
Author(s):  
BK Mahalder ◽  
◽  
MB Ahmed ◽  
H Bhandari ◽  
MU Salam ◽  
...  
Keyword(s):  
Knowledge Management ◽  
Field Data ◽  
Production Systems ◽  
Rice Yield ◽  
Rice Production ◽  
Practice Change ◽  
Clear Understanding ◽  
Data Set ◽  
Production Practices ◽  
The Difference

Quantifying knowledge on agriculture can have many benefits to stakeholders. While many knowledge-based systems exist in modern days for farmers’ decision support, specific models are lacking on how knowledge traits can impact on agricultural production systems. This study employed modelling technique, supported by field data, to provide a clear understanding and quantifying how knowledge management in production practices can contribute to rice productivity in the environmentally stressed southwest Bangladesh. This research accounted for ‘Boro’ rice as the target crop and ‘BRRI dhan28’ as the test variety. The ‘B-M Model’ was developed following the principle and procedure from published literature, ‘brainstorming’ and data from field surveys. Three knowledge management traits (KMT) were defined and quantified as the inputs of the model. Those are: self-experience and observation (SEO), extension advisory services (EAS) and accessed information sources (AIS). The yield influencing process (YIP), the intermediate state variable of the model, was deduced by accounting for the two dominant agronomic practices, seedling age for transplanting and triple superphosphate (TSP) application. ‘Knowledge drives farmers’ practice change which in turn influences yield’ was composed as the theoretical framework of the ‘B-M Model’. The model performed strongly against an independently collected field data set. Across the 180 farmers’ data, the average relative rice yield (RRY) predicted by the model (0.705) and observed in the field (0.716) was close (root mean squared deviation (RMSD) = 0.018). The difference between predicted and observed RRY was not statistically different (LSD = 0.03), indicating the model fully captured the field data. A regression of predicted and observed RRY explained 96% variance in observation, further proving the model’s strength in estimating RRY in a wider range of farmers’ rice yield. In a normative analysis, the practicality and usefulness of the model to stakeholders were simulated for the understanding of how much achievable yield could be expected by changing farmers’ knowledge pool (the sum of three KMT) on rice production practices, and at what combination(s) of KMT to be considered at strategic hierarchy to materialize a targeted achievable yield. To the best of the knowledge, a model quantifying rice yield in relation to knowledge management trait does not exist in literature. Upon successful testing under diverse yield scenarios using multiple and sophisticated statistical tools that enhanced the credibility of the model, it is concluded that the model has the potential to be used for identifying quantitative pathways of farmers’ knowledge acquisition for practice change leading to improved productivity of rice in the southwest region of Bangladesh.

scholarly journals KM Tools : Making Connections

2021 ◽  
Author(s):  
Keyword(s):  
Knowledge Management ◽  
Research And Development ◽  
Knowledge Base ◽  
Development Programs ◽  
Engineer Research ◽  
Management Tools ◽  
Experimental Knowledge ◽  
Development Center ◽  
Knowledge Management Tools ◽  
The U.S

Knowledge management is vital to successfully executing research and development programs within the U.S. Army Engineer Research and Development Center (ERDC). Experimental knowledge management initiatives over the years led to discoveries about the best ways to store and access ERDC’s vast knowledge base. This document highlights several of the effective knowledge management tools that evolved from these discoveries, helping you to find and share knowledge!

Frequency of Triplets and Triplet Zygosity Types among U.S. Births, 1964

1988 ◽  
Vol 37 (3-4) ◽  
pp. 299-306 ◽  
Author(s):  
Gordon Allen
Keyword(s):  
Theoretical Model ◽  
Difference Method ◽  
Age Distribution ◽  
Young Mothers ◽  
White Population ◽  
Older Mothers ◽  
Induction Of Ovulation ◽  
Artificial Induction ◽  
The Difference ◽  
The U.S

AbstractThe frequency of triplets in the U.S. white population may have reached an all-time low around 1964, at 78 sets per million deliveries. One-fourth of those were monozygotic as estimated by the difference method, or 18% by Bulmer's theoretical model. By 1983 the frequency of triplets had nearly doubled, the increase presumably occurring in dizygotic and trizygotic types. In Belgium most triplet pregnancies now result from artificial induction of ovulation, which is expected to occur mainly in older mothers. In the U.S., however, triplets have increased as much in young mothers as in older mothers, proportionally. This age distribution of the increase may be partly explained by a decrease in parity in older mothers since 1964.

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