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The emergence of mHealth applications has led to the rise of health-based services delivered over smartphones. Younger people are often found to be more innovative toward technology, especially related to smartphones (Rai et al., 2013). Most mHealth application downloaders are continually shifting between applications because of the hyper-competition making achieving loyal consumers challenging (Racherla et al., 2012). The purpose of this paper is to study the determinants that help increase young consumers mHealth application loyalty. This study integrates self-determination theory (SDT), gamification elements and engagement to examine loyalty.

A valid sample of 263 college student’s data was obtained for data analysis from a survey conducted in multiple campuses of the Delhi University in India.

The three psychological needs: need for autonomy, need for competence and need for relatedness, showed a positive impact on intrinsic motivation. From the gamification factors; perceived playfulness, the level of challenge and social interaction, only the first two showed a positive impact on extrinsic motivation. Both motivation factors influence engagement, showing a frequent interaction with the application, leading to loyalty.

Previous studies examined the adoption of mHealth services, this study is one of the first to examine young consumers’ loyalty in using mhealth apps. It sheds light on the existing literature and contributes to research on mHealth applications by determining the factors that lead to loyalty by the young consumers.

Job performance is an important variable, which primarily affects outcomes at three levels: the micro level (i.e. the individual), the meso level (i.e. the group) and the macro level (i.e. the organisation). This paper aims to identify, analyse and synthesise factors that affect job performance.

Through an extensive integrative review of literature, this study identifies and classifies the factors that affect job performance. A synthesised model based on the schema of demands, resources and stressors is also developed.

The demands identified are grouped into physical, cognitive and affective. Stressors adversely affecting job performance are classified at an individual level, job level and family level. Finally, resources are classified at an individual level, job level, organisational level and social level.

This review enhances the job demands-resources (JD-R) model to job demands-resources-stressors (JD-R-S) model by identifying a separate category of variables that are neither job demands nor resources, but still impede job performance.

The subgroups identified under demands, resources and stressors provide insights into job performance enhancement strategies, by changing, managing or optimising them.

This study helps in better understanding the factors that go on to impact job performance differentially, depending on the group to which they belong. It gives a holistic picture of factors affecting job performance, thereby integrating classifying and synthesising the vast literature on the topic.