Autonomy in consumer choice

Wertenbroch, Klaus; Schrift, Rom Y.; Alba, Joseph W.; Barasch, Alixandra; Bhattacharjee, Amit; Giesler, Markus; Knobe, Joshua; Lehmann, Donald R.; Matz, Sandra; Nave, Gideon; Parker, Jeffrey R.; Puntoni, Stefano; Zheng, Yanmei; Zwebner, Yonat

doi:10.1007/s11002-020-09521-z

Cited by 82 publications

(45 citation statements)

References 42 publications

(41 reference statements)

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“…Thus, cyborg experiences emphasize hybridity, self-enhancement, and often radical self-modification, requiring future research to reexamine longstanding epistemic boundaries between human and machine (Belk 2019). On the one hand, cyborg experiences destabilize human autonomy and control and might fundamentally undermine consumer freedom (Wertenbroch et al 2020). On the other hand, they collapse dualistic categories like man and machine and might promote consumer empowerment and the circumvention of structural inequalities (RQF5).…”

Section: Agenda For Future Research On Consumers and Aimentioning

confidence: 99%

Consumers and Artificial Intelligence: An Experiential Perspective

Puntoni¹,

Reczek²,

Giesler³

et al. 2020

Journal of Marketing

Self Cite

499

302

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Artificial intelligence (AI) helps companies offer important benefits to consumers, such as health monitoring with wearable devices, advice with recommender systems, peace of mind with smart household products, and convenience with voice-activated virtual assistants. However, although AI can be seen as a neutral tool to be evaluated on efficiency and accuracy, this approach does not consider the social and individual challenges that can occur when AI is deployed. This research aims to bridge these two perspectives: on one side, the authors acknowledge the value that embedding AI technology into products and services can provide to consumers. On the other side, the authors build on and integrate sociological and psychological scholarship to examine some of the costs consumers experience in their interactions with AI. In doing so, the authors identify four types of consumer experiences with AI: (1) data capture, (2) classification, (3) delegation, and (4) social. This approach allows the authors to discuss policy and managerial avenues to address the ways in which consumers may fail to experience value in organizations’ investments into AI and to lay out an agenda for future research.

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Section: Agenda For Future Research On Consumers and Aimentioning

confidence: 99%

Consumers and Artificial Intelligence: An Experiential Perspective

Puntoni¹,

Reczek²,

Giesler³

et al. 2020

Journal of Marketing

Self Cite

499

302

View full text Add to dashboard Cite

show abstract

“…Consumer autonomy is central to consumer choice and defined as “consumers’ ability to make and enact decisions on their own, free from external influences imposed by other agents” (Wertenbroch et al, 2020 , p. 430). In the AI ethics context, autonomy relates to a meta-autonomy or decide-to-delegate model.…”

Section: The Ethics Of Ai In Marketingmentioning

confidence: 99%

Leveraging Artificial Intelligence in Marketing for Social Good—An Ethical Perspective

Hermann

2021

J Bus Ethics

147

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Artificial intelligence (AI) is (re)shaping strategy, activities, interactions, and relationships in business and specifically in marketing. The drawback of the substantial opportunities AI systems and applications (will) provide in marketing are ethical controversies. Building on the literature on AI ethics, the authors systematically scrutinize the ethical challenges of deploying AI in marketing from a multi-stakeholder perspective. By revealing interdependencies and tensions between ethical principles, the authors shed light on the applicability of a purely principled, deontological approach to AI ethics in marketing. To reconcile some of these tensions and account for the AI-for-social-good perspective, the authors make suggestions of how AI in marketing can be leveraged to promote societal and environmental well-being.

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“…A thorough review and evaluation of extant literature reveals that previous research has either focused on portraying the efficiency and potential available for businesses through the employment of AI in assisting consumers' decision-making (i.e., [19][20][21]) or on the negative impact AI has on consumers and their autonomy (i.e., [7,8,22,23]). We regard both views as correct, important, and timely, however, neither of these proposes solutions regarding how AI and consumers can coexist sustainably in the future, or how AI can be employed to consumers' advantage.…”

Section: Motivation Scope and Contributionmentioning

confidence: 99%

“…It should be noted that there is an important difference between perceived and real autonomy, and we expect consumers to prefer actual autonomy to perceived autonomy, as perceived autonomy may be described as successful consumer manipulation. Wertenbroch et al [23] (p.3) defined actual autonomy as "the extent to which a person can make and enact their own decisions," whereas perceived autonomy refers to "the individual's subjective sense of being able to make and enact decisions of their own volition." Importantly, actual and perceived autonomy may not necessarily be aligned.…”

Section: Ai-based Decisions Aids and The Threat To Consumer Autonomymentioning

confidence: 99%

“…Importantly, actual and perceived autonomy may not necessarily be aligned. Wertenbroch et al [23] (p.3) argued that although AI-based recommendation algorithms may facilitate consumer choice and thereby boost consumers' perceived autonomy, they inherently run the risk of undermining consumers' actual autonomy. Ultimately, the distinction between the constructs may represent the conflicting interests of businesses and consumers in an online context, with consumer manipulation on one hand, and autonomy on the other.…”

Section: Ai-based Decisions Aids and The Threat To Consumer Autonomymentioning

confidence: 99%

See 1 more Smart Citation

The Role of Consumer Autonomy in Developing Sustainable AI: A Conceptual Framework

2021

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Artificial intelligence (AI)-based decision aids are increasingly employed by businesses to assist consumers’ decision-making. Personalized content based on consumers’ data brings benefits for both consumers and businesses, i.e., with regards to more relevant content. However, this practice simultaneously enables increased possibilities for exerting hidden interference and manipulation on consumers, reducing consumer autonomy. We argue that due to this, consumer autonomy represents a resource at the risk of depletion and requiring protection, due to its fundamental significance for a democratic society. By balancing advantages and disadvantages of increased influence by AI, this paper addresses an important research gap and explores the essential challenges related to the use of AI for consumers’ decision-making and autonomy, grounded in extant literature. We offer a constructive, rather than optimistic or pessimistic, outlook on AI. Hereunder, we present propositions suggesting how these problems may be alleviated, and how consumer autonomy may be protected. These propositions constitute the fundament for a framework regarding the development of sustainable AI, in the context of online decision-making. We argue that notions of transparency, complementarity, and privacy regulation are vital for increasing consumer autonomy and promoting sustainable AI. Lastly, the paper offers a definition of sustainable AI within the contextual boundaries of online decision-making. Altogether, we position this paper as a contribution to the discussion of development towards a more socially sustainable and ethical use of AI.

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Autonomy in consumer choice

Cited by 82 publications

References 42 publications

Consumers and Artificial Intelligence: An Experiential Perspective

Consumers and Artificial Intelligence: An Experiential Perspective

Leveraging Artificial Intelligence in Marketing for Social Good—An Ethical Perspective

The Role of Consumer Autonomy in Developing Sustainable AI: A Conceptual Framework

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