2 resultados para Active distribution networks

em Greenwich Academic Literature Archive - UK


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A visibility/invisibility paradox of trust operates in the development of distributed educational leadership for online communities. If trust is to be established, the team-based informal ethos of online collaborative networked communities requires a different kind of leadership from that observed in more formal face-to-face positional hierarchies. Such leadership is more flexible and sophisticated, being capable of encompassing both ambiguity and agile response to change. Online educational leaders need to be partially invisible, delegating discretionary powers, to facilitate the effective distribution of leadership tasks in a highly trusting team-based culture. Yet, simultaneously, online communities are facilitated by the visibility and subtle control effected by expert leaders. This paradox: that leaders need to be both highly visible and invisible when appropriate, was derived during research on 'Trust and Leadership' and tested in the analysis of online community case study discussions using a pattern-matching process to measure conversational interactions. This paper argues that both leader visibility and invisibility are important for effective trusting collaboration in online distributed leadership. Advanced leadership responses to complex situations in online communities foster positive group interaction, mutual trust and effective decision-making, facilitated through the active distribution of tasks.

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This study examines the roll-out of a collaborative information repository or 'knowledge-base' in a medium-sized UK professional services firm over a six year period. Data from usage logs provides the basis for analysis of the dynamic evolution of social networks around the depository during this time. The adoption pattern follows an 's-curve' and usage exhibits something of a power law distribution, both attributable to network effects and network opposition is associated with organisational performance on a number of indicators. But periodicity in usage is evident and the usage distribution displays an exponential cut-off. Fourier analysis provides some evidence of mathematical complexity in the periodicity. Some implications of complex patterns in social network data for research and management are discussed.