Social Comparison or Social Loafing: A Study of Anonymous Ideation in Virtual Teams

Chen, Fang; Zhang, Limin; Latimer, Joseph

doi:10.1109/hicss.2010.341

Cited by 2 publications

(5 citation statements)

References 22 publications

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“…One group of research sought to reduce the inhibitions that some participants might have towards participating. Researchers taking this approach sought to leverage GSS technology such as anonymity to reduce process losses such as evaluation apprehension [e.g., 36,37]. Others sought to instantiate social comparison to overcome free-riding by comparing participant performance to others through graphical feedback [e.g., 32,33] or by having a confederate enter in ideas at a high rate [34].…”

Section: Discussionmentioning

confidence: 99%

“…The Shepherd et al [34] study did not lead to more high quality ideas [37] and although the Jung et al [35] study reported higher quality scores, the number of high quality ideas was not reported. The Chen et al [36] study did not report a significant increase in either quantity or quality.…”

Section: Goal Congruence Boundary Researchmentioning

confidence: 91%

“…Jung et al [35] also used an electronic feedback graph, but it allowed individuals to compare their productivity against that of other team members. Chen et al [36] entered comments during brainstorming that are believed to come from a team member working at a fast rate. The studies with the electronic feedback graphs (i.e., [34,35]) reported a greater number of unique ideas.…”

Section: Goal Congruence Boundary Researchmentioning

confidence: 99%

“…Chen et al [36] seeded brainstorming folders with ideas during ideation in an effort to generate social comparison (i.e., participants perceive that other members are working at a faster rate) which addresses the goal congruence boundary. These additional comments also stimulated participants to expand more on the ideas of others and thus provided stimulus to help break cognitive inertia and counter the attention boundary.…”

Section: Hybrid Approachesmentioning

confidence: 99%

See 3 more Smart Citations

Toward Better Solutions: An Analysis of the Ideation Literature in Light of Bounded Ideation Theory

Reinig

Briggs

2012

2012 45th Hawaii International Conference on System Sciences

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Bounded ideation theory (BIT) proposes that the relationship between idea quantity and quality is limited by participant ability, scarcity of attention resources, mental and physical exhaustion, understanding of the problem, goal congruence, and the openness of solution space. A meta-analysis of ideation research published at the Hawaii International Conference on Systems Sciences (HICSS) from 1995 to 2011 is conducted to map interventions and findings to the propositions of BIT. The majority of research has focused on the attention, goalcongruency and understanding boundaries. Resultsdemonstrate that certain interventions produce significant gains in the quantity of ideas produced but that more attention needs to be given to the good or high quality ideas that these interventions produce. Implications for future research, including the potential of hybrid interventions, are discussed.

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Section: Discussionmentioning

confidence: 99%

Section: Goal Congruence Boundary Researchmentioning

confidence: 91%

Section: Goal Congruence Boundary Researchmentioning

confidence: 99%

Section: Hybrid Approachesmentioning

confidence: 99%

See 2 more Smart Citations

Toward Better Solutions: An Analysis of the Ideation Literature in Light of Bounded Ideation Theory

Reinig

Briggs

2012

2012 45th Hawaii International Conference on System Sciences

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“…As we all know, knowledge is regarded as one of the most critical resources to keep competitive advantages in organizations (Wang and Noe, 2010). Knowledge exchange is particularly important in collaboration, for effectiveness is achieved by the knowledge shared between different individuals (Chen et al , 2010; Wang and Wang, 2012). Individual-level knowledge contribution prompts personal knowledge to translate into collective knowledge, benefiting knowledge creation within teams (Razmerita et al , 2014), which also benefits individual learning translate into team capability (Nahapiet and Ghoshal, 1998).…”

Section: Introductionmentioning

confidence: 99%

Dynamic impact of social network on knowledge contribution loafing in mobile collaboration: a hidden Markov model

Jiang

Zhang

Cheng

et al. 2019

JKM

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Purpose Social loafing in knowledge contribution (namely, knowledge contribution loafing [KCL]) usually happens in group context, especially in the mobile collaboration tasks. KCL shows dynamic features over time. However, most previous studies are based on static assumption, that is, KCL will not change over time. This paper aims to reveal the dynamics of KCL in mobile collaboration and analyze how network centrality influences KCL states considering the current loafing state. Design/methodology/approach This study is based on empirical study design. Real mobile collaboration behavioral data related to knowledge contribution were collected to investigate the dynamic relationship between network centrality and KCL. In total, 4,127 chat contents were collected through Slack (a mobile collaboration APP). The text data were first analyzed using the text analysis method and then analyzed by a machine learning method called hidden Markov model. Findings First, the results reveal the inner structure of KCL, showing that it has three states (low, medium and high). Second, it is found that network centrality positively influences individuals involved in medium and high loafing state, while it has a negative influence on individuals with low loafing state. Research limitations/implications The limitations are related to the single machine learning method and no subdivision of social network. First, this paper only uses one kind of text classification model (TF-IDF) to divide chat contents, which may not be superior to other classification models. This paper considers the eigenvector centrality, and not further divides the social network into advice network and expressive network. Practical implications This study helps companies infer tendency of different KCL and dynamically re-organize a mobile collaborative team for better knowledge contribution. Originality/value First, previous studies based on static assumptions regarding KCL as static and the relationship between loafing reducing mechanisms and team members KCL does not change over time. This study relaxes static assumptions and allows KCL to change during the process of collaboration. Second, this study allows the impact of network centrality to be different when members are in different KCL states.

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Social Comparison or Social Loafing: A Study of Anonymous Ideation in Virtual Teams

Cited by 2 publications

References 22 publications

Toward Better Solutions: An Analysis of the Ideation Literature in Light of Bounded Ideation Theory

Toward Better Solutions: An Analysis of the Ideation Literature in Light of Bounded Ideation Theory

Dynamic impact of social network on knowledge contribution loafing in mobile collaboration: a hidden Markov model

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