Employees’ acceptance of the healthcare internet of things

Photo : Employees’ acceptance of the healthcare internet of things

Smart objects allow for physical or physiological Self-Tracking and Self-Quantification. The Quantified-Self provides Self-Knowledge through Self-Tracking with technology, where data collection is performed through Self-Monitoring using combined wearable technologies, i.e. sensors and computing systems (Maltseva, Lutz, 2018).

The Quantified-Self movement is therefore a means to learn more about the meaning of technology in the context of its use, since this context may positively or negatively influence Self-Tracking practice. The primary purpose of quantified-selfers was, in fact, for individuals to increase knowledge about themselves through self-generated data (Deshayes, Stuchlick, 2013), leading to better awareness of their own health or wellness, helping them to take a step back from their conditioned behaviour.

Technology therefore acts as the trigger for action, as smart objects, i.e. Self-Tracking wearables, empower self-trackers through the use of easy-to-use devices, providing activity records as so-called ‘externalized memory’. The combination of Self-Tracking activity and the use of persuasive technology results in what Lentferink et al. (2016) call ‘persuasive eCoaching’. Goal setting is essential for successful self-tracking, as it is a condition for efficiency; efficiency directly deriving from rapid progress toward a known-and-attainable-goal.

The goal-setting theory discussed by Oinas-Kukkonen and Harjumaa (2009) highlights the fact that goals have an impact on performance and help focus both efforts and attention on goal-relevant activities. It quickly became apparent from the practice of Self-Quantification that making a public commitment towards a defined objective was a very powerful driver and greatly increased the chances of the quantified-selfers to successfully reach their goals (Deshayes, Stuchlik, 2013). On the other hand, Choe et al. (2014) identified some barriers for Self-Tracking activity practice, such as a lack of time or motivation, inappropriate visualisation and analytic tools, a lack of skills to analyse data sometimes dispersed across multiple platforms.

Ease-of-Use of wearables and related mobile apps is undoubtedly a contributing factor to Self-trackers conducting a successful activity (Maltseva, Lutz, 2018). Once self-trackers fully master the device, it drives them to make an increasingly frequent use of the gadget, and their regular self-tracking practice turns into a routine, making it easier for them to reach their goals.

Author(s)
  • Photo :

    Patricia Baudier Patricia Baudier is an Associate Professor of Marketing. She joined EM Normandie in 2018. She has a PhD in management science from the Institut Mines-Télécom Business School and the Université d’Evry-Val d'Essonne (Université Paris-Saclay) awarded in 2013. Her thesis is on managing claims on Twitter: Impact on satisfaction of the client’s perception of the Community Manager. Her research interests are new technology, consumer behaviour and digital marketing. Patricia spent 28 years working in sales and marketing roles in American multinational companies (Apple France and Kodak Europe/Africa/Middle East).

Photo : The Fintech industry: Crowdfunding in context

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