Harvesting with SONAR

Guy, Ido; Jacovi, Michal; Shahar, Elad; Meshulam, Noga; Soroka, Vladimir; Farrell, Stephen

doi:10.1145/1357054.1357212

Cited by 70 publications

(1 citation statement)

References 20 publications

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“…The first system explicitly aiming at targeting these issues, IBM’s “SmallBlue”, considers information about the social distance between each user and experts matching user data (Lin et al , 2008). More recent approaches focus on social relationships and imply that expertise can be considered a parameter of the position or job profile of an organizational member (Guy et al , 2008Abecker et al , 2000).…”

Section: Approaches On Re-contextualization In Organizational Memory Information Systems Researchmentioning

confidence: 99%

KMS re-contextualization – recognizing learnings from OMIS research

Mühlburger

Oppl

Stary

2017

VJIKMS

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Purpose Deployment of knowledge management systems (KMSs) suffers from low adoption in organizational reality that is attributed to a lack of perceivable added value for people in actual work situations. Poor task/technology fit in the process of knowledge retrieval appears to be a major factor influencing this issue. Existing research indicates a lack of re-contextualizing stored information provided by KMSs in a particular situation. Existing research in the area of organizational memory information systems (OMISs) has thoroughly examined and widely discussed the topic of re-contextualization. The purpose of this paper, thus, is to examine how KMS design can benefit from OMIS research on approaches for re-contextualization in knowledge retrieval. Design/methodology/approach This paper examines OMIS literature and inductively derives a categorization scheme for KMS according to their strategy of re-contextualizing knowledge. The authors have validated the scheme validated in a multiple case study that examines the differentiatory value of the scheme for approaches with various re-contextualization strategies. Findings The classification scheme allows a step-by-step selection of approaches for re-contextualization of information in KMS design and development derived from OMIS research. The case study has demonstrated the applicability of the developed scheme and shows that the differentiation criteria can be applied unambiguously. Research limitations/implications Because of the chosen case study approach for validation, the validation results may lack generalizability. Practical implications The scheme enables an informed selection of KMSs appropriate for a particular OMIS use case, as the scheme’s attributes serve as design rationale for a certain architecture or constellation of components. Developers can not only select from various approaches when designing re-contextualizaton but also come up with rationales for each candidate because of structured representation. Hence, stakeholders can be supported in a more informed way and design KMSs more effectively along organizational change processes. Originality/value The paper addresses an identified need for systematic characterization of KMS approaches and systems intending to meet the objectives of OMISs. As such, it allows streamlining further research in this field, as approaches can be judged according to their originality and positioned relative to each other.

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Section: Approaches On Re-contextualization In Organizational Memory Information Systems Researchmentioning

confidence: 99%

KMS re-contextualization – recognizing learnings from OMIS research

Mühlburger

Oppl

Stary

2017

VJIKMS

View full text Add to dashboard Cite

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Ergonomics of Information Technologies at Work

Hanrahan¹,

Carroll²

2017

The Wiley Blackwell Handbook of the Psychology of the Internet at Work

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A Multidimensional Approach to Characterizing and Visualizing Latent Relationships in Enterprise Social Networks

Burns¹,

Friedman²

2012

Bell Labs Tech. J.

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Latent relationship discovery, such as the recommendation of potential friends, is a common feature in many social networking sites such as Facebook. In an enterprise, discovery of latent relationships is particularly important in helping knowledge workers discover others in their company with specific expertise or shared interests. This paper describes a methodology that makes use of user‐generated content and incorporates multiple dimensions, such as social distance, semantic distance, geographic distance, temporal distance, and quantity, to determine the strength of latent social relationships. Examples from the People & Projects enterprise social networking application and from work exploring the visualization of conversation patterns are used to illustrate the manner in which these latent relationships can be intuitively presented to users. Beyond social networking applications, this methodology has direct applicability in other venues such as contact centers, where the discovery of latent relationships between customers, agents, and contact sessions can be used to improve service and performance. © 2012 Alcatel‐Lucent.

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Harvesting with SONAR

Cited by 70 publications

References 20 publications

KMS re-contextualization – recognizing learnings from OMIS research

KMS re-contextualization – recognizing learnings from OMIS research

Ergonomics of Information Technologies at Work

A Multidimensional Approach to Characterizing and Visualizing Latent Relationships in Enterprise Social Networks

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