Collective Intelligence Applications in IT Services Business

Vuković, Maja; Stewart, Osamuyimen

doi:10.1109/scc.2012.55

“…Similarly, Deutsche Telekom launched an internal crowdsourcing initiative to integrate the knowledge and experience of its employees, resulting in more than 18,000 contributions collected and processed in just 4 days (Hoerbelt, 2013). Internal crowdsourcing also helps reveal 'non-discoverable knowledge' (Laredo et al, 2012), that is, collective, tacit or unstructured knowledge that could not be found through automated methods and systems (see further Vukovic and Stewart, 2012).…”

Section: Problems Addressed With Internal Crowdsourcingmentioning

confidence: 99%

“…• Referred to as 'idea management systems' (e.g., Bailey and Horvitz, 2010), 'idea markets' (Soukhoroukova, 2012), 'knowledge markets' (Benbya and Van Alstyne, 2011) or 'crowdfunding platforms' (Muller et al, 2013) • Benefits from lower entry barriers when integrated with internal IT (e.g., SSO) on user side (Rohrbeck et al, 2015) • Can be integrated with tools, workflows, and (semi-) automated processes (Rohrbeck et al, 2015) Abu El-Ella et al, 2013;Bailey and Horvitz, 2010;Benbya and Van Alstyne, 2011;Bjelland and Wood, 2008;Erickson et al, 2012a;Geiger et al, 2011;Jette et al, 2015;Laredo et al, 2012, Lopez et al, 2010Muller et al, 2013;Soukhoroukova, 2012;Rohrbeck et al, 2015;Stieger et al, 2012;Vukovic, 2009;Vukovic et al, 2013;Vukovic and Naik, 2011;Vukovic and Natarajan, 2013a;2013b;Vukovic and Stewart, 2012;Westerski et al, 2011 initiated with an 'open call' through which all (or a selection of) employees are invited to participate on a voluntarily basis for the duration of the initiative (Howe, 2006;Lopez et al, 2010). Further, certain types of internal crowdsourcing designs allow solvers to participate in the evaluation and aggregation of the results (e.g.…”

Section: The Process Of Internal Crowdsourcingmentioning

confidence: 99%

Internal Crowdsourcing: Conceptual Framework, Structured Review, and Research Agenda

Zuchowski

¹

,

Posegga

²

,

Schlagwein

³

et al. 2016

Journal of Information Technology

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The use of IT-enabled crowdsourcing with employees in enterprises has increased substantially in recent years. This phenomenon, which we refer to as ‘internal crowdsourcing’, is distinct both from external crowdsourcing with end users and from hierarchy-based work with employees. A literature stream has emerged that corresponds with the increased relevance of internal crowdsourcing in practice. The purpose of this review paper of internal crowdsourcing is to provide conceptual development, synthesise the literature, and provide a research agenda. In the review reported in this paper, we systematically analysed and critically reviewed the literature in this domain published thus far (74 papers). We found useful findings and insights into a new and relevant IT-enabled phenomenon. At the same time, we also found conflicting definitions and conceptualisation, as well as research efforts that are not well integrated. The paper supports future research on internal crowdsourcing by providing improved conceptualisation, consolidating insights, and identifying important areas for future research.

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“…Such a property is satisfied by many distributions used to model arrival processes, including in crowdsourcing systems [23].…”

Section: : End Formentioning

confidence: 96%

Efficient and Flexible Crowdsourcing of Specialized Tasks With Precedence Constraints

Chatterjee

¹

,

Borokhovich

²

,

Varshney

³

et al. 2018

IEEE/ACM Trans. Networking

6

0

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Many companies now use crowdsourcing to leverage external (as well as internal) crowds to perform specialized work, and so methods of improving efficiency are critical. Tasks in crowdsourcing systems with specialized work have multiple steps and each step requires multiple skills. Steps may have different flexibilities in terms of obtaining service from one or multiple agents, due to varying levels of dependency among parts of steps. Steps of a task may have precedence constraints among them. Moreover, there are variations in loads of different types of tasks requiring different skill-sets and availabilities of different types of agents with different skill-sets. Considering these constraints together necessitates the design of novel schemes to allocate steps to agents. In addition, large crowdsourcing systems require allocation schemes that are simple, fast, decentralized and offer customers (task requesters) the freedom to choose agents. In this work we study the performance limits of such crowdsourcing systems and propose efficient allocation schemes that provably meet the performance limits under these additional requirements. We demonstrate our algorithms on data from a crowdsourcing platform run by a non-profit company and show significant improvements over current practice.

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“…These domination definitions, commonly assumed in bandit problems [22], imply that variation around the mean is dominated in a moment generating function sense by that of a Gaussian (Poisson) random variable. Such a property is satisfied by many distributions used to model arrival processes, including in crowdsourcing systems [23].…”

Section: A Decentralized Allocationmentioning

confidence: 96%

Efficient and flexible crowdsourcing of specialized tasks with precedence constraints

Chatterjee

¹

,

Borokhovich

²

,

Varshney

³

et al. 2016

IEEE INFOCOM 2016 - The 35th Annual IEEE International Conference on Computer Communications

View full text Add to dashboard Cite

Many companies now use crowdsourcing to leverage external (as well as internal) crowds to perform specialized work, and so methods of improving efficiency are critical. Tasks in crowdsourcing systems with specialized work have multiple steps and each step requires multiple skills. Steps may have different flexibilities in terms of obtaining service from one or multiple agents, due to varying levels of dependency among parts of steps. Steps of a task may have precedence constraints among them. Moreover, there are variations in loads of different types of tasks requiring different skill-sets and availabilities of different types of agents with different skill-sets. Considering these constraints together necessitates the design of novel schemes to allocate steps to agents. In addition, large crowdsourcing systems require allocation schemes that are simple, fast, decentralized and offer customers (task requesters) the freedom to choose agents. In this work we study the performance limits of such crowdsourcing systems and propose efficient allocation schemes that provably meet the performance limits under these additional requirements. We demonstrate our algorithms on data from a crowdsourcing platform run by a non-profit company and show significant improvements over current practice.

show abstract

Collective Intelligence Applications in IT Services Business

Cited by 6 publications

References 7 publications

Internal Crowdsourcing: Conceptual Framework, Structured Review, and Research Agenda

Internal Crowdsourcing: Conceptual Framework, Structured Review, and Research Agenda

Efficient and Flexible Crowdsourcing of Specialized Tasks With Precedence Constraints

Efficient and flexible crowdsourcing of specialized tasks with precedence constraints

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