Bridging Artifacts and Actors: Expertise Sharing in Organizational Ecosystems

Pipek, Volkmar; Wulf, Volker; Johri, Aditya

doi:10.1007/s10606-011-9138-y

Cited by 19 publications

(10 citation statements)

References 45 publications

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“…The successful implementation of new systems can have unintended consequences for individuals and organizations, which might even be contrary to initially set goals [57]. Enabling marginalized participants to share their voice openly and without inhibition through the use of technologies can have neg-ative repercussions on the individuals, not just in terms of their participation in civil society, but in society at large.…”

Section: Social Positioning and Cultural Barriersmentioning

confidence: 98%

Utilizing Participant Voice in Volunteer Training

Varghese

Rainey

Montague

et al. 2020

Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

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Delivering training to volunteers is a huge challenge for nongovernmental organizations (NGOs). Traditional classroombased approaches that dominate training are problematic due to the limited participation they offer to trainees. Peer-led approaches however, have shown promise in helping NGOs utilize trainee experiences within training. Although technologies are playing an increasing role in training, their benefits are not well understood. We describe our experience of designing peer-led training for community volunteers in rural India. Working alongside an NGO involved in community regeneration and social action, we collaboratively delivered a ten-day training workshop, deploying audio technologies to engage the participants in sharing lived experiences. We draw on reflections from trainers and trainees on how utilizing participant voice can enhance training. We highlight opportunities around the usage of audio technologies for engaging with participant voice, including the ability to reclaim trainee agency within training and to work within cultural barriers.

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Section: Social Positioning and Cultural Barriersmentioning

confidence: 98%

Utilizing Participant Voice in Volunteer Training

Varghese

Rainey

Montague

et al. 2020

Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

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“…Pipek et al [57] identify features additional to KM. It focuses on the information at hand about the experience of human resources and on how factors specific to people affect this information (e.g.…”

Section: Related Workmentioning

confidence: 99%

MONO+KM: Knowledge Management in Collaborative Project Development

González-Rojas

Pedraza-García

Correal

et al. 2016

I&U

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In the dynamics of collaborative project management, participating organizations make great efforts and provide technical, technological and human resources to achieve a product they can hardly develop individually.Although there are tools to integrate, monitor and manage processes for such projects, it is not uncommon to find technological support to manage the knowledge generated during their execution. Usually this knowledge is part of the experience of participants but it is not recovered or documented nor is it used an organizational level, thus losing an important asset.In this study, we propose a technique in which a knowledge management approach is applied to the management of collaborative projects and where knowledge is expressed in terms of decisions.This is achieved through the analysis of verbal interactions that occur among participants in these projects, the identification and recovery of decisions Grounded Theory Method (GTM) techniques, and the specification of a set of concrete usage scenarios.The technique was applied in MONO, a framework for integration, control and optimization of production processes in which digital content companies in the creative industry work collaboratively.The study provides an annotation model, which, without being intrusive, allows for the recovery and structuring of knowledge expressed as decisions, thus making possible its replication in other domains.

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“…(McDonald and Ackerman 2000). However, most of existing systems focus only on one of the two aspects although scholars recommend that both aspects needs to be taken into account (Pipek et al 2012). Existing expert finding methods can be categorized into two categories: link-based and content-based methods.…”

Section: Finding Expertise In Online Communitiesmentioning

confidence: 99%

Harnessing global expertise: A comparative study of expertise profiling methods for online communities

et al. 2012

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Building expertise profiles in global online communities is a critical step in leveraging the range of expertise available in the global knowledge economy. In this paper we introduce a three-stage framework that automatically generates expertise profiles of online community members. In the first two stages, document-topic relevance and user-document association are estimated for calculating users' expertise levels on individual topics. We empirically compare two state-ofthe-art information retrieval techniques, the vector space model and the language model, with a Latent Dirichlet Allocation (LDA) based model for computing document-topic relevance as well as the direct and indirect association models for computing user-document association. In the third stage we test whether a filtering strategy can improve the performance of expert profiling. Our experimental results using two real datasets provide useful insights on how to select the best models for profiling users' expertise in online communities that can work across a range of global communities.

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Bridging Artifacts and Actors: Expertise Sharing in Organizational Ecosystems

Cited by 19 publications

References 45 publications

Utilizing Participant Voice in Volunteer Training

Utilizing Participant Voice in Volunteer Training

MONO+KM: Knowledge Management in Collaborative Project Development

Harnessing global expertise: A comparative study of expertise profiling methods for online communities

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