Strategic Partner or Trojan Horse? A Case Study

Kennedy, Donald A.; Whittaker, John

doi:10.1080/10429247.2002.11415181

Cited by 1 publication

(2 citation statements)

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“…Prior work suggests clients may find decisions made by outsourcing design are much more conservative than the client would make if the choices were made internally (Kennedy and Whittaker, 2002). The client engineers in this case recognized the restriction on the loads at the nozzle indicated at location A in Fig.…”

Section: Testing the Human Versus Machine Resultsmentioning

confidence: 99%

“…The stress analysis model therefore continued to be based on a flawed set of underlying assumptions and did not properly integrate experience driven inputs from the engineering operators. Kennedy and Whittaker (2002) determined external consulting firms typically place a high priority on being conservative on design and are less concerned about cost performance. Owner engineers may be more willing to risk failure from a design change and gain on organizational learning.…”

Section: Resolution Of the Hi-mi Conflictmentioning

confidence: 99%

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The imperative need to develop guidelines to manage human versus machine intelligence

Kennedy¹,

Philbin²

2018

Front. Eng

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Machine intelligence is increasingly entering roles that were until recently dominated by human intelligence. As humans now depend upon machines to perform various tasks and operations, there appears to be a risk that humans are losing the necessary skills associated with producing competitively advantageous decisions. Therefore, this research explores the emerging area of human versus machine decision-making. An illustrative engineering case involving a joint machine and human decision-making system is presented to demonstrate how the outcome was not satisfactorily managed for all the parties involved. This is accompanied by a novel framework and research agenda to highlight areas of concern for engineering managers. We offer that the speed at which new human-machine interactions are being encountered by engineering managers suggests that an urgent need exists to develop a robust body of knowledge to provide sound guidance to situations where human and machine decisions conflict. Human-machine systems are becoming pervasive yet this research has revealed that current technological approaches are not adequate. The engineering insights and multi-criteria decision-making tool from this research significantly advance our understanding of this important area.

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Section: Testing the Human Versus Machine Resultsmentioning

confidence: 99%

Section: Resolution Of the Hi-mi Conflictmentioning

confidence: 99%