Analysing the Effect of Self-Efficacy and Influencers on Design Team Performance

Singh, Harshika; Cascini, Gaetano; McComb, Christopher

doi:10.1017/dsd.2020.64

Cited by 9 publications

(13 citation statements)

References 29 publications

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“…High self-efficacy individuals also had an influence on other high self-efficacy individuals hence, it conforms to Singh et al (2020). It further supports the assumption that self-efficacy could be one of the factors affecting the I ∝ SE.…”

Section: Validating the Assumptionsupporting

confidence: 77%

Influencers in design teams: a computational framework to study their impact on idea generation

Singh

Cascini

McComb

2021

AIEDAM

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It is known that wherever there is human interaction, there is social influence. Here, we refer to more influential individuals as “influencers”, who drive team processes for better or worst. Social influence gives rise to social learning, the propensity of humans to mimic the most influential individuals. As individual learning is affected by the presence of an influencer, so is an individual's idea generation . Examining this phenomenon through a series of human studies would require an enormous amount of time to study both individual and team behaviors that affect design outcomes. Hence, this paper provides an agent-based approach to study the effect of influencers during idea generation. This model is supported by the results of two empirical experiments which validate the assumptions and sustain the logic implemented in the model. The results of the model simulation make it possible to examine the impact of influencers on design outcomes, assessed in the form of exploration of design solution space and quality of the solution. The results show that teams with a few prominent influencers generate solutions with limited diversity. Moreover, during idea generation, the behavior of the teams with uniform distribution of influence is regulated by their team members' self-efficacy.

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Section: Validating the Assumptionsupporting

confidence: 77%

Influencers in design teams: a computational framework to study their impact on idea generation

Singh

Cascini

McComb

2021

AIEDAM

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“…This is due to their increase in intrinsic motivation that increases their self-efficacy. It was also found that individuals with high self-efficacy are less likely to be demotivated when other team members do not select their ideas [35]. Taking these findings into account, the agents in the model demonstrates similar behavior, where increase/decrease in an agent self-efficacy depends on their current state of self-efficacy.…”

Section: Learning From Experiencementioning

confidence: 80%

“…Increase in intrinsic and extrinsic motivation increases self-efficacy [24]. In other studies state that individuals contribute more in idea generation when the team accepts ideas from them [35]. This is due to their increase in intrinsic motivation that increases their self-efficacy.…”

Section: Learning From Experiencementioning

confidence: 94%

Modelling the Dynamics of Influence on Individual Thinking during Idea Generation in Co-design Teams

Singh¹

2021

Preprint

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Social influence is not evenly distributed in teams. Some individuals, referredto here as influencers, become more influential than others. Consequentially,these influencers play a significant role in shaping project performance.The current work simulates the presence of influencers duringidea generation in co-design teams to better understand emergent socio-cognitivephenomena. Besides providing, a novel approach for modelling learningin concept generation the model highlights the results related to individualcognition during idea generation. Idea quality and exploration of designspace are affected by the presence of influencers in design teams. Teamswith no well-defined influencers produce solutions with high general explorationbut less quality. In contrast, the agents in the teams with only oneinfluencer produce solutions high quality than those teams with no influencers.

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“…If co-design is considered as a social process (Cross and Cross, 1995), the factors affecting the interactions, roles and relationships among the team members should be considered. It is known that the degree of influence perceived by team members from each other determines team performance (Singh et al, 2020b); trust in teams is responsible for work effectiveness (Costa, 2003) and factors affecting idea selection (like agreement in solutions) are crucial to study (Lindley et al, 2017). Moreover, the prior acquaintance between individuals (i.e.…”

Section: Familiarity Bias In the Social Variablesmentioning

confidence: 99%

How Familiarity Impacts Influence in Collaborative Teams?

et al. 2021

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Individual traits strongly impact team composition and the biases arising from them can also impact design activities. One such bias highlighted in the study is the familiarity bias (i.e., a bias that might be present between the two individuals due to their prior acquaintance). In order to detect the familiarity bias, participants from 4 universities who evaluated their peers and rated them for (1) their perceived degree of influence, (2) trust, (3) the amount of agreement they had with the other team member and (4) the amount of agreement the other individual in the team had with them. It was found that familiarity bias exists in collaborative teams. Its impact on the four variables, especially on influence, was discovered. In the end, the study briefly highlighted the importance of studying the factors (like the one revealed in this study) that affect influence in design teams as it eventually impacts design outcome. It was found that the individuals who explore most idea clusters, are less likely to be perceived influential and teams having the most influence produced a smaller number of idea clusters. Overall, the study contributes to understanding the factors affecting human cognition and behaviour in the design teams.

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Analysing the Effect of Self-Efficacy and Influencers on Design Team Performance

Cited by 9 publications

References 29 publications

Influencers in design teams: a computational framework to study their impact on idea generation

Influencers in design teams: a computational framework to study their impact on idea generation

Modelling the Dynamics of Influence on Individual Thinking during Idea Generation in Co-design Teams

How Familiarity Impacts Influence in Collaborative Teams?

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