Subjectivities in motion: Dichotomies in consumer engagements with self-tracking technologies

Zakariah, Amalina; Hosany, Sameer; Cappellini, Benedetta

doi:10.1016/j.chb.2021.106699

Cited by 8 publications

(10 citation statements)

References 70 publications

(103 reference statements)

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“…We investigate how sharing which is a salient feature on social media platforms influences self-quantifiers' engagement in social media platforms. Second, we enrich selfquantification research from consumer behavior perspective (Charitsis et al, 2019;Etkin, 2016;Zakariah et al, 2021) by showing that self-quantification as an image management tool on social media could boost consumers' persistence intentions in goal pursuit. Third, the current research contributes to goal theories (e.g.…”

Section: Selfquantification 569mentioning

confidence: 96%

“…Despite the increasing popularity of self-quantification in medical or health industry, little empirical research has explored how self-quantification affects consumer behaviors (Charitsis et al , 2019; Etkin, 2016; Zakariah et al , 2021). That is, self-quantification has rarely been applied to consumer behavior area to test how self-quantification influences consumers' engagement.…”

Section: Literature Reviewmentioning

confidence: 99%

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Goal specificity or ambiguity? Effects of self-quantification on persistence intentions

Shi

Chen

2021

JRIM

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PurposeThe current study implies self-quantification to consumer behavior and investigates how self-quantification influences consumers' persistence intentions, then indicates the underlying mechanism and examines the role of sharing in social media context.Design/methodology/approachThe hypotheses are tested by three experimental studies. In study 1, the authors test the main effect of self-quantification on persistence intentions and demonstrate goal specificity as the mediator. In study 2 and 3, the authors explore sharing and sharing audience as the moderators.FindingsThe current research demonstrates that quantifying personal performance increases consumers' persistence intentions because self-quantification makes the focal goal more specific. However, sharing self-quantification performance with others has a negative effect on the relationship between self-quantification and persistence intentions. Building on goal conflict theory, sharing diverts consumers' focus away from the goal itself and toward others' evaluation and judgment, which makes the focal goal more ambiguous. Moreover, the negative effect depends on who is the sharing audience. When consumers share with close others who hold a similar goal with them, the negative effect of sharing is dramatically reversed.Practical implicationsThe present research offers guidelines to managers about how to design self-tracking system to increase user's engagement and how to establish social community on social media platform to motivate users' goal pursuit.Originality/valueThis study contributes to the research of self-quantification from consumer behavior perspective. It also enriches interactive marketing literature by broadening self-quantification relevant research from social interaction dimension.

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Section: Selfquantification 569mentioning

confidence: 96%

Section: Literature Reviewmentioning

confidence: 99%

Goal specificity or ambiguity? Effects of self-quantification on persistence intentions

Shi

Chen

2021

JRIM

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“…Other users may be more consistent and loyal to the practice. They rigidly apply self-discipline, self-control, and commitment, even though the practice of self-tracking requires hard work that may be beyond their limits (Zakariah et al, 2021). For example, some users set an alarm on their mobile devices to remind themselves of checking in online regularly, which they consider as a sign of being focused and persistent.…”

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

What motivates people to continuously engage in online task-oriented check-ins? The role of perceived social presence

Sun

Liu²,

Wen³

2022

AJIM

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PurposeOnline task-oriented check-ins (i.e. OTOCs) are popular means of tracking personal progress in certain fields. This study focused on the use of OTOC platforms and explored the predictors of individuals' continuing usage intention.Design/methodology/approachA model was proposed to understand Chinese users' continuous intention of OTOCs based on the UTAUT framework. Perceived social presence was also incorporated as a predictor of continuance intention of OTOC platforms. A survey of 397 users of the OTOC platforms was conducted in Nanjing, China.FindingsPerformance expectancy, hedonic motivation, and habit had direct, positive influence on the continuous use intention, whereas effort expectancy and social influence were not significant predictors of continuance intention of OTOCs. Perceived social presence was a significant, indirect predictor of intention to continuously use the OTOCs, and the relationship was mediated by performance expectancy, hedonic motivation, and habit.Originality/valueThis study distinguished OTOCs from other modes of self-tracking and extended the UTAUT framework by incorporating perceived social presence as a predictor of continuous technology use in the context of OTOCs. This study also provided a deeper understanding of the interrelations between the explanatory variables of the model that have been identified as robust in previous literature on technology use.

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“…Previous research has widely explored and investigated consumers’ relations to various digital and smart technologies (Gonçalves et al 2020; Hoyer et al 2020). Smart wearable technologies are associated with the dichotomies of health/indulgence and labor/leisure (Zakariah, Hosany, and Cappellini 2021). They have significant potential to increase consumer well-being (Ferreira et al 2021).…”

mentioning

confidence: 99%

Smart Wearable Technologies as Resources for Consumer Agency in Well-Being

Tikkanen¹,

Heinonen²,

Ravald³

2023

Journal of Interactive Marketing

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Consumers are increasingly expected to be active in managing their personal well-being. Agency, meaning individuals’ ability to reflect on their circumstances, effect change, and act independently, constitutes an important means for consumer well-being. To a growing extent, consumers are using smart technologies, such as wearable devices and applications, to better manage their well-being. However, how interactions with wearables improve and affect consumer agency for well-being is underexamined. The aim of this study is to explore how consumers use smart wearable technologies as resources for agency in managing their well-being. Drawing on psychological and sociological literature on agency as well as qualitative data from users of various wearable devices, the authors distinguish individual and contextual levels of agency, in which knowing and acting constitute two types of smart wearable technology use. From these dimensions, they conceptualize a framework with four types of technology use for well-being: (1) self-improvement, (2) justification, (3) adaptation, and (4) activism. The authors discuss the theoretical and managerial implications of this framework with the aim of improving consumer agency for well-being through smart technology.

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Subjectivities in motion: Dichotomies in consumer engagements with self-tracking technologies

Cited by 8 publications

References 70 publications

Goal specificity or ambiguity? Effects of self-quantification on persistence intentions

Goal specificity or ambiguity? Effects of self-quantification on persistence intentions

What motivates people to continuously engage in online task-oriented check-ins? The role of perceived social presence

Smart Wearable Technologies as Resources for Consumer Agency in Well-Being

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