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  • Publication
    Exploring the use of governance mechanisms in multi-tier sustainable supply chains
    The extension of purchasing and supply chain management practices to reach upstream suppliers is critical in ensuring supply chain sustainability and requires the implementation of governance mechanisms. In this study, we investigate the mechanisms used by firms to ensure sustainability in multi-tier supply chains and how this use differs between the supply chain tiers. A multiple case study was conducted using semi-structured interview data from 25 companies covering three supply chain tiers. We identified 12 different governance mechanisms, the classification of which we suggest be based on their structure and purpose. While some differences were found regarding the specific practices used by individual firms, the overall findings indicate no major differences in terms of sustainability management efforts between the supply chain tiers. Thus, in contrast to previous studies, we show that lower-tier suppliers are active in the innovation and facilitation of supply chain sustainability. Also, the results confirm that firms often delegate the responsibility of ensuring sustainability to their direct suppliers.
      143Scopus© Citations 1
  • Publication
    Empowering students in the assessment and feedback of work-integrated learning: Key stakeholder views
    (International Academy of Technology, Education and Development (IATED), 2022-11-09)
      51
  • Publication
    Neurocomputational mechanisms of prior-informed perceptual decision-making in humans
    To interact successfully with diverse sensory environments, we must adapt our decision processes to account for time constraints and prior probabilities. The full set of decision-process parameters that undergo such flexible adaptation has proven to be difficult to establish using simplified models that are based on behaviour alone. Here, we utilize well-characterized human neurophysiological signatures of decision formation to construct and constrain a build-to-threshold decision model with multiple build-up (evidence accumulation and urgency) and delay components (pre- and post-decisional). The model indicates that all of these components were adapted in distinct ways and, in several instances, fundamentally differ from the conclusions of conventional diffusion modelling. The neurally informed model outcomes were corroborated by independent neural decision signal observations that were not used in the model’s construction. These findings highlight the breadth of decision-process parameters that are amenable to strategic adjustment and the value in leveraging neurophysiological measurements to quantify these adjustments.
    Scopus© Citations 40  414