The usage of wearable self-tracking technology has recently emerged as a new big trend in lifestyle and personal optimization in terms of health, fitness and well-being. Currently, only little is known about why people plan or start using such devices. Thus, in our research project, we aim at answering the question of what drives the usage intention of wearable self-tracking technology. Therefore, based on established technology acceptance theories, we deductively develop an acceptance model for wearable self-tracking technologies which sheds light on the pre-adoption criteria of such devices. We validate our proposed model by means of structural equation modeling using empirical data collected in a survey among 206 potential users. Our study identifies perceived usefulness, perceived enjoyment, social influ-ence, trust, personal innovativeness, and perceived support of well-being as the strongest drivers for the intention to use wearable self-tracking technologies. By accounting for the influence of the demographic factors age and gender, we provide a further refined picture.

Flexible reward arrangements (e.g., flexible benefit plans) have been around for a rather important period of time. Although some authors have examined the antecedents and consequences of adopting such plans from a theoretical perspective, empirical studies are rather scarce. Furthermore, there is a need to apply a strategic rewards perspective to flexible reward plans in order to help firms to move from “best practice” toward “best fit.” This article interprets the results of a survey held in Belgium and the Netherlands regarding the prevalence and perceived outcomes of adopting flexible reward plans within a model of strategic alignment of reward management.