Skip to main content

Delegating Decision-making to Autonomous Products: A Value Model Emphasizing the Role of Well-Being

Bertrandias, Laurent, Lowe, Ben, Sadik-Rozsnyai, Orsolya, Carricano, Manu (2021) Delegating Decision-making to Autonomous Products: A Value Model Emphasizing the Role of Well-Being. Technological Forecasting and Social Change, 169 (August). Article Number 120846. ISSN 0040-1625. (doi:10.1016/j.techfore.2021.120846) (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided) (KAR id:87753)

PDF Author's Accepted Manuscript
Language: English

Restricted to Repository staff only until 18 November 2022.

Contact us about this Publication
[thumbnail of TFSC - Accepted Manuscript.pdf]
Official URL


Given the rapid growth of autonomous technologies it is important to understand how consumers attribute value to them. Such technologies require consumers to give up control to a machine by delegating decision-making power. To better understand value perceptions, and ultimately adoption, this paper proposes a conceptual model that explains the value attributed to autonomous cars as an archetypal consumer autonomous technology. The model is developed from literature around the theme of autonomy and two qualitative studies, which identify consumers’ perceived individual benefits (Freeing Time, Overcoming Human Weaknesses, Outperforming Human Capacities), risks (Loss of Competencies, Security and Privacy risk, Performance risk) and their proximal antecedents (Perceived Expertise, Attitude toward the Delegated Task, Previous Engagement in Delegation). The model is tested on a national sample of French drivers using a quantitative methodology and Structural Equation Modelling (SEM). This research contributes to literature on technological forecasting of autonomous technologies by developing and testing a conceptual model, which includes salient predictors of perceived value and highlights the mediating role of improvement in subjective well-being that consumers anticipate from adoption. The model can be used by managers to predict how users are likely to react to their products and communications about them.

Item Type: Article
DOI/Identification number: 10.1016/j.techfore.2021.120846
Uncontrolled keywords: perceived value, autonomous cars, autonomous products, well-being, consumers
Subjects: H Social Sciences > HF Commerce > HF5415 Marketing
Divisions: Divisions > Kent Business School - Division > Department of Marketing, Entrepreneurship and International Business
Depositing User: Benjamin Lowe
Date Deposited: 26 Apr 2021 08:56 UTC
Last Modified: 04 Feb 2022 14:44 UTC
Resource URI: (The current URI for this page, for reference purposes)
Lowe, Ben:
  • Depositors only (login required):


Downloads per month over past year