Project title
Next-Generation Digital Objects for resolving energy, behavioural and optimization paradoxes in the global transition to sustainable supply chains
Project abstract
My research will investigate the role of next-generation digital objects in addressing persistent trade-offs in sustainable supply chain systems, particularly those involving energy (Amigues & Moreaux, 2018), institutional/behavioural lock-ins (Robey & Boudreau 1999), and optimization (Felin & Holweg, 2024). Despite significant advances in digital transformation, supply chains continue to face “optimization paradoxes,” (Smith & Lewis, 2011) where improvements in one performance dimension often generate unintended consequences in others. This challenge is further compounded by behavioural (Robey & Boudreau 1999) and energy-related constraints (Jevon 1865), which are frequently underrepresented in existing digital objects. To address this gap, this study will adopt a design science research approach (Hevner et al., 2004) to develop a paradox-aware digital decision-support artefact. The expected contributions are advancement of theoretical understanding of digital-objects to paradox-resolution, creation of practical frameworks for designing decision-support tools that explicitly account for trade-offs and paradoxes.