Quotes and Paraphrases

On Knowledge Obsolescence

“The depreciation rate of knowledge in high-technology fields is significantly higher than in law, finance, or management.” – Boone, Ganeshan, & Hicks (2008), Management Science

“The half-life of engineering knowledge is as short as 2.5 to 5 years.” – Shearer & Steger (1975), Academy of Management Journal

On Competence-Destroying Discontinuities

“Unlike incremental technological advances that reward accumulated experience and existing institutional knowledge, competence-destroying discontinuities render vast swaths of prior expertise obsolete.” – Anderson & Tushman (2018)

Paraphrase: Competence-destroying discontinuities fundamentally differ from incremental innovations because they invalidate existing expertise rather than building upon it. GenAI represents such a discontinuity for traditional IT governance frameworks.

On Board Inertia

“Boards as a source of inertia: Examining the internal challenges and dynamics of boards of directors in times of environmental discontinuities.” – Hoppmann, Naegele, & Girod (2019), Academy of Management Journal

Paraphrase: Hoppmann et al. demonstrate that boards can become sources of organizational inertia rather than drivers of change, particularly during periods of environmental discontinuity. This supports our argument that vintage-misaligned boards may resist rather than enable GenAI adoption.

On Cognitive Imprinting

Paraphrase: Upper Echelons Theory (Hambrick & Mason, 1984) suggests that executives’ strategic choices reflect their cognitive bases, which are formed during formative educational experiences. These cognitive imprints are resistant to change, meaning a director trained in deterministic computing paradigms will approach GenAI through that established cognitive lens.

On the Vintage Effect

Paraphrase: A director who obtained a Computer Science degree in 1985 (the era of mainframe computing and symbolic AI) possesses a cognitive framework fundamentally distinct from one who graduated in 2020 (deep learning and transformer models). Although both are classified as technically competent by traditional databases, the vintage of their education dictates the relevance and utility of their human capital when confronting GenAI.

On Resource Fossilization

Paraphrase (original concept): We introduce “Resource Fossilization” to describe the phenomenon where a strategic resource provided by a board member degrades into a liability due to environmental paradigm shifts. When the technology landscape moves from on-premise to cloud, or from analytical AI to generative AI, expertise in the old paradigm loses its strategic value and may actively impede adaptation.

On Capability Reconfiguration

“Capability reconfiguration: An analysis of incumbent responses to technological change.” – Lavie (2006), Academy of Management Review

Paraphrase: Lavie argues that incumbents’ responses to technological change depend on their ability to reconfigure existing capabilities. Directors entrenched in obsolete technical paradigms may view GenAI’s probabilistic nature as a risk to be contained rather than a capability to be unleashed.