Disruption, transformation and silos: medical humanities and the management gurus

To disrupt, to transform and to break through silos are common sense aims for the medical humanities and other interdisciplinary endeavours. These keywords arise because of the influence upon the academy of management and business gurus, reputed experts who arose in response to the economic crises of the 1980s. Despite the noted analytic deficiencies in the concept of disruption, and its association with product innovation, the term has been extended to academic research, where it connotes radical novelty in research practice, typically accompanied by profound organisational and managerial change. ‘Disruption’ has become wedded to the word ‘transformation’ as national funders seek to support more radically innovative research that will maintain Western economic hegemony. A distorted version of Kuhn’s model of scientific revolutions underpins the discourse of transformation, which fits humanities research to a template in which revolutionary, transformative shifts can be instrumentally favoured by funders, at the expense of inferior ‘incremental’ progress. Disruptive and transformative research are, according to funders, more readily produced in organisations that have broken through silos between disciplines. The silo metaphor misleadingly models academic disciplines as if they were essentially unitary entities, akin to the functionally specialised units of a business organisation. The discourse of silos arises from the guru doctrine of the learning organisation. This theory supposes that the organisation—including the university—is literally a living organism, and thereby susceptible to corporate sickness, mortality, infection and disability. Medical humanity researchers should be aware of, and reject, this vitalist metaphysic in which the optimal organisation is a culturally homogeneous supra-personal organism whose immense capacities are harnessed by visionary leaders. Moreover, a new vocabulary should be developed for research evaluation, superseding the supposed hierarchical opposition between transformative and incremental research. Data sharing is not applicable as no datasets generated and/or analysed for this study. No applicable.