Wearable technologies, brand community and the growth of a transhumanist vision

Akdevelioglu, Duygu; Hansen, Sean; Venkatesh, Alladi

doi:10.1080/0267257x.2021.2001559

Cited by 7 publications

(3 citation statements)

References 113 publications

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“…Divergent moments of control and resistance on the individual, collective, and market level warrant further empirical and conceptual work. On the other hand, analytical attention is needed on how algorithmic articulation intervenes in an increasing number of existing consumption assemblages, not least in how elements and connections between them are integrated, stabilized, or destabilized (Canniford and Bajde 2016;Rokka and Canniford 2016)for instance, how wearable technologies intensify the centrality of competitiveness and socializing around the practice of running (Akdevelioglu et al 2021). It strikes us, however, that the sheer speed, complexity, and opaqueness of machine learning algorithms have arguably made the circuit of algorithmic culture much more challenging to study (Campolo and Crawford 2020;Kotliar 2020).…”

Section: Discussionmentioning

confidence: 99%

Algorithmic consumer culture

Airoldi

Rokka

2022

Consumption Markets & Culture

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This article conceptualizes algorithmic consumer culture, and offers a framework that sheds new light on two previously conflicting theorizations: that (1) digitalization tends to liquefy consumer culture and thus acts primarily as an empowering force, and that (2) digitalized marketing and big data surveillance practices tend to deprive consumers of all autonomy. By drawing on critical social theories of algorithms and AI, we define and historicize the now ubiquitous algorithmic mediation of consumption, and then illustrate how the opacity, authority, non-neutrality, and recursivity of automated systems affect consumer culture at the individual, collective, and market level. We propose conceptualizing 'algorithmic articulation' as a dialectical techno-social process that allows us to enhance our understanding of platformbased marketer control and consumer resistance. Key implications and future avenues for exploring algorithmic consumer culture are discussed.

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Section: Discussionmentioning

confidence: 99%

Algorithmic consumer culture

Airoldi

Rokka

2022

Consumption Markets & Culture

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“…By interacting with these technical features, users increase their self-knowledge based on that data (e.g., Heyen 2020). However, some users report an unhealthy obsession with data (Akdevelioglu, Hansen, and Venkatesh 2022). Data gradually replaces users’ physical intuition (Smith and Vonthethoff 2017), increasing their cognition of the quantified self.…”

Section: Literature Synthesis and Conceptual Framework Developmentmentioning

confidence: 99%

The “Dark Side” of General Health and Fitness-Related Self-Service Technologies: A Systematic Review of the Literature and Directions for Future Research

Chen,

Schoefer,

Manika

et al. 2024

Journal of Public Policy & Marketing

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While general health and fitness-related self-service technologies, such as health and fitness apps and wearable activity trackers, are steadily increasing in popularity, there are now increasing reports of the potential harm they can cause to consumer well-being. An overview and analysis of the “dark side” of general health and fitness-related self-service technologies is therefore timely and appropriate. In the present work, the authors systematically identify and review the existing literature on this topic across various disciplinary backgrounds. They summarize available knowledge concerning the potential adverse consequences for consumer well-being resulting from the use of health and fitness apps and wearable devices and propose a conceptual framework to explain the relationship between using such technologies and these negative outcomes. Based on these insights, the authors identify current research gaps concerning the dark side of general health and fitness-related self-service technologies and propose corresponding directions for future research. They also discuss the implications of these findings for marketers and public policy makers.

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“…Future research in this category should explore the amount of data consumers are willing to share to receive certain benefits. Further, future research should continue to examine human-material interactions since wearables are ripe for posthumanism research (Akdevelioglu, Hansen, and Venkatesh 2022).…”

Section: Introductionmentioning

confidence: 99%

Thinking Big About Going Small: Conceptualizing the Human-Technology Integration Spectrum

Thyroff

Hawkins

Akdevelioglu

2023

Journal of Macromarketing

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As materials are advanced and the distal relationship between consumers and material is diminished, relevant theories (e.g., extended-self and posthumanism) must be revisited to explain the human-technology integration. This research does this by introducing the human technology integration (HTI) spectrum, which describes eight distal levels that material can be integrated within the body (i.e., no contact, touch non-wearable, touch wearable, surface barrier, oral consumption, inhalation, injection, constant contact). We highlight findings of the HTI spectrum by providing relevant examples for each category based on nanotechnology. Well-being, public policy, managerial implications, and future research suggestions are then discussed. This framework helps marketers and policymakers to consider how technology integration impacts the existing institutional political, social, and economic structures and guides them to implement best practices related to human technology integration for consumers and society.

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Wearable technologies, brand community and the growth of a transhumanist vision

Cited by 7 publications

References 113 publications

Algorithmic consumer culture

Algorithmic consumer culture

The “Dark Side” of General Health and Fitness-Related Self-Service Technologies: A Systematic Review of the Literature and Directions for Future Research

Thinking Big About Going Small: Conceptualizing the Human-Technology Integration Spectrum

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