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Implicit Boundaries, Boundary Configurations and Key Agents: Tracing SocialL Enterprise Learning

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dc.contributor.author Tandon, Ankita
dc.contributor.author Nair, Unnikrishnan K.
dc.date.accessioned 2016-05-27T05:47:49Z
dc.date.available 2016-05-27T05:47:49Z
dc.date.issued 2014
dc.identifier.uri http://hdl.handle.net/2259/710
dc.description 1 Doctoral student, Organizational Behaviour & Human Resource Management Area, Indian Institute of Management Kozhikode 2 Professor, Organizational Behaviour & Human Resource Management Area, Indian Institute of Management Kozhikode en_US
dc.description.abstract We micro-analysed organizational learning interactions in social enterprises from a boundary perspective. Using qualitative data from four Indian social enterprises, we identified three implicit boundaries – competence, social and power – which in isolation and through mutual interactions impacted learning. Dynamic stakeholder interaction configurations, learning mechanisms and critical agents were identified for each boundary. Immersion through lived experience rather than mere membership of the target community enabled learning across social boundaries. Learning involved interactions between competence and social boundaries, with middle managers playing a critical integration role in the process. Within the enterprise, horizontal overlaps between competence boundaries at the middle management level (through specific integration mechanisms) supported learning. Potential power boundaries due to knowledge differences were inferred in the enterprises. The prevailing learning modes, supported by socialized use of legitimate power, acted as influence mechanisms to facilitate learning. en_US
dc.language.iso en en_US
dc.publisher Indian Institute of Management Kozhikode en_US
dc.relation.ispartofseries ;IIMK/WPS/147/OBHR/2014/05
dc.subject Implicit organizational boundaries en_US
dc.subject organizational learning en_US
dc.subject social enterprises en_US
dc.subject qualitative research. en_US
dc.title Implicit Boundaries, Boundary Configurations and Key Agents: Tracing SocialL Enterprise Learning en_US
dc.type Working Paper en_US


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  • 2014 [22]
    Working Papers published in the year 2014

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