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DESCRIPTION:\n\nRania Afiouni\, a doctoral student at 91ËżąĎĘÓƵ in 
 the Information Systems area will be presenting her thesis defense entitle
 d:\n\nA Control Perspective of Delegation to Artificial Intelligence at Wo
 rk: From Worker Adaptation to Job Transformation\n\nTuesday\, June 16\, 20
 26\, at 9:00 AM\n	(The defense will be conducted in hybrid mode: Location -
  Armstrong Building\, Room 250\; for zoom link\, please contact the PhD Of
 fice)\n\nStudent Committee Co-chairs: Prof. Alain Pinsonneault\n\nPlease n
 ote that the Defence will be conducted in hybrid mode.\n\n\nAbstract\n\nDe
 legating tasks to autonomous Artificial Intelligence (AI) systems alters h
 ow work is exercised and experienced. As AI systems assume decision author
 ity\, workers must continuously negotiate their own sense of personal cont
 rol. While the human-AI\n\nwork literature has enhanced our understanding 
 of workers’ adaptation and changes to their practices\, there is yet a nee
 d for an integrative theoretical perspective that accounts for the interco
 nnectedness of separate adaptive behaviors and cognitions and extends adap
 tation beyond the immediate interaction with AI systems. The thesis recogn
 izes this need and proposes a control perspective to attend to it by askin
 g the question: How does delegation of work to increasingly autonomous AI 
 systems reshape personal control dynamics and reconfigure jobs? To answer 
 this question\, we develop a multi-level and temporally layered account of
  control in AI-enabled work contexts through three interrelated essays.\n
 \nEssay 1 reviews the human-AI work literature\, examining its intellectua
 l structure. Drawing on science-of-science perspectives and a corpus of 65
 1 articles published between 2015 and 2025 in leading Information Systems 
 (IS) and management\n\njournals\, it combines bibliographic coupling\, the
 matic modeling\, and emergence metrics to analyse the state of this resear
 ch area and the topics that dominate it. The analysis reveals that topics 
 exhibiting high growth recombine established conceptual vocabularies\, sug
 gesting growth through consolidation rather than conceptual novelty. By ma
 pping the field’s structural dynamics\, the essay identifies a strategic o
 pportunity for IS scholarship to shape the next phase of human-AI research
  through novel theoretical contributions.\n\nBuilding on this opportunity\
 , essay 2 represents the theoretical core of the thesis\, developing the H
 uman-in-Control (HiC) model to explain how workers adapt when delegating t
 o AI. Conceptualizing personal control as a dynamic experiential process\,
  the model introduces contextual congruence to capture the alignment betwe
 en delegation preferences and work environments. It identifies four adapta
 tion pathways characterized by distinct configurations of primary and seco
 ndary control processes through which workers maintain\, restore\, or enha
 nce personal control. This essay contributes to IS scholarship by offering
  an integrated framework explaining how workers reconfigure personal contr
 ol under conditions that encourage or limit AI delegation. It extends adap
 tation theory by addressing delegation constraints that create disruption 
 through deprivation.\n\nWhile the HiC model explains how control tensions 
 unfold in the short term at the individual level\, essay 3 examines longer
 -term transformations of work through an indepth qualitative study of cons
 ultants adapting to process mining technology. Building on job crafting th
 eory\, it develops a model of job transformation in which changes to autom
 ated and augmented tasks\, relationships\, and cognitive reframing unfold 
 in ripples enabled by the development of particular skills and by changes 
 to the mindset. Together\, these ripples expand consultants’ job horizonta
 lly and vertically through scope crafting\, proposed as a fourth dimension
  of job crafting. The study contributes a skill-contingent\, non-linear ac
 count of how digital technologies transform work.\n\nCollectively\, the th
 ree essays identify and articulate a need for conceptual novelty in the hu
 man-AI literature and provide one possible path forward: personal control.
  They advance a multi-level\, temporally layered theory of human-AI work t
 hat responds to field dynamics and integrates short-term adaptive processe
 s\, and longer-term boundary transformations. By positioning personal cont
 rol as its integrative mechanism\, the thesis provides a coherent framewor
 k for understanding how workers navigate delegation to AI and offers a fou
 ndation for future research on the evolving relationship between human sen
 se of control and intelligent technologies.\n
DTSTART:20260616T130000Z
DTEND:20260616T150000Z
SUMMARY:PhD Thesis Defense Presentation: Rania Afiouni
URL:/desautels/channels/event/phd-thesis-defense-prese
 ntation-rania-afiouni-373296
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