The firm’s knowledge network and the transfer of advice among corporate inventors—A multilevel network study

Brennecke, Julia; Rank, Olaf N.

doi:10.1016/j.respol.2017.02.002

Cited by 135 publications

(89 citation statements)

References 80 publications

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“…Since I seek to understand how social structure influences engagement with the material, I estimate the models for artists' social ties in wave 1 and usage of objects and material structures in wave 2. Thus, reverse causality is excluded (for a similar approach, see Brennecke and Rank, 2017;Kim et al, 2016). Similarly, gender, education, and genre attributes are stable characteristics, acquired long before we documented usage of objects and material structures in the physical spaces of the collectives.…”

Section: Discussionmentioning

confidence: 99%

Socio-material network analysis: A mixed method study of five European artistic collectives

Basov

2018

Social Networks

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In this paper, I argue that we can better understand the relationship between social structure and materiality by combining qualitative analysis of practices in shared physical space with statistical analysis. Drawing on the two-mode approach, I treat social and material structures together with the relationship between them as a two-level socio-material network. In a mixed method study, formalized ethnographic data on such networks in five European artistic collectives are subjected to multilevel exponential random graph modelling. It sheds light on how different types of interpersonal ties condition the engagement of individuals with similar materiality over time.

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Section: Discussionmentioning

confidence: 99%

Socio-material network analysis: A mixed method study of five European artistic collectives

Basov

2018

Social Networks

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“…MERGMs are a new class of ERGMs addressing network links not only within, but also between and across dually related networks of different types by modeling two one-mode networks connected with a third, two-mode, network. Successfully applied to model two-level networks of social ties and knowledge elements (Brennecke and Rank, 2017), these models fit the purpose of studying two-layer socio-semantic networks, where social ties are linked to both semantic concepts and concept associations-via usage links between individuals and concepts. Simultaneously, like any ERGMs but unlike regression-based modeling approaches, MERGMs assume that the presence or absence of specific links affect the presence or absence of other links.…”

Section: Note: Diamonds=concepts; Circles=members; Lines Between Diammentioning

confidence: 99%

The ambivalence of cultural homophily: Field positions, semantic similarities, and social network ties in creative collectives

Basov

2020

Poetics

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This paper utilizes a mixture of qualitative, formal, and statistical socio-semantic network analyses to examine how cultural homophily works when field logic meets practice. On the one hand, because individuals in similar field positions are also imposed with similar cultural orientations, cultural homophily reproduces 'objective' field structure in intersubjective social network ties. On the other hand, fields are operative in practice and to accomplish pragmatic goals individuals who occupy different field positions often join in groups, creatively reinterpret the field-imposed cultural orientations, and produce cultural similarities alternative to the position-specific ones. Drawing on these emergent similarities, the cultural homophily mechanism might stimulate social network ties between members who occupy not the same but different field positions, thus contesting fields. I examine this ambivalent role of cultural homophily in two creative collectives, each embracing members positioned closer to the opposite poles of the field of cultural production. I find different types of cultural similarities to affect different types of social network ties within and between the field positions: Similarity of vocabularies stimulates friendship and collaboration ties within positions, thus reproducing the field, while affiliation with the same cultural structures stimulates collaboration ties between positions, thus contesting the field. The latter effect is visible under statistical analysis of ethnographic data, but easy to oversee in qualitative analysis of texts because informants tend to flag conformity to their positions in their explicit statements. This highlights the importance of mixed socio-semantic network analysis, both sensitive to the local context and capable of unveiling the mechanisms underlying the interplay between the cultural and the social.

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“…When it comes to the underlying processes, research shows that organizational learning and the underlying memory of a company resemble an individuals' learning process [15], and that a company learns and forgets through its members [16]. Studies could show the direct relation between employees' knowledge and the overall corporate knowledge [18,19]. Since both are related, they can influence each other in both directions: individual knowledge of employees can have a direct impact on corporate performance, e.g.…”

Section: Learningmentioning

confidence: 99%

Retentivity Beats prior Knowledge as Predictor for the Acquisition and Adaptation of New Production Processes

Haase¹,

Matthiesen²,

Schueffler³

et al. 2020

Proceedings of the Annual Hawaii International Conference on System Sciences

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In the time of digitalization the demand for organizational change is rising and demands ways to cope with fundamental changes on the organizational as well as individual level. As a basis, learning and forgetting mechanisms need to be understood in order to guide a change process efficiently and successfully. Our research aims to get a better understanding of individual differences and mechanisms in the change context by performing an experiment where individuals learn and later re-learn a complex production process using a simulation setting. The individual's performance, as well as retentivity and prior knowledge is assessed. Our results show that higher retentivity goes along with better learning and forgetting performances. Prior knowledge did not reveal such relation to the learning and forgetting performances. The influence of age and gender is discussed in detail.

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The firm’s knowledge network and the transfer of advice among corporate inventors—A multilevel network study

Cited by 135 publications

References 80 publications

Socio-material network analysis: A mixed method study of five European artistic collectives

Socio-material network analysis: A mixed method study of five European artistic collectives

The ambivalence of cultural homophily: Field positions, semantic similarities, and social network ties in creative collectives

Retentivity Beats prior Knowledge as Predictor for the Acquisition and Adaptation of New Production Processes

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