Presentation_1_Mindfulness and technostress in the workplace: a qualitative approach.pdf

Information Technology (IT) has been vastly characterized as a double-edged sword, offering significant benefits to individuals but at the same time bringing certain negative consequences, such as technostress. Technostress can severely affect individuals in the workplace, causing fatigue, loss of motivation, inability to concentrate, dissatisfaction at work and reduced productivity among others; thus significantly affecting individual well-being work as well as increasing costs for organisations. Recently, studies have shown the beneficial role of mindfulness in reducing technostress experiences of individuals; however, the evidence that exists until today is very limited, and mostly focused on evaluating the impact of mindfulness on technostress and its negative consequences. As the current research stands, at the moment it is relatively unknown how mindfulness affects the underlying mechanisms of technostress experiences of individuals. Through semi-structured interviews with 10 knowledge workers, the current study explores how mindfulness alleviates technostress within the workplace, by investigating the experiences of more mindful employees and learning from their practices. Findings offer a deeper insight into the relationship of mindfulness and technostress, revealing a toolkit of the underlying strategies that more mindful and IT mindful individuals deploy as well as their perceptions during technostress experiences at work thus shedding light on the path between mindfulness and technostress. The study contributes both to academia and practice, offering important implications to managers and practitioners that strive to improve employee well-being within organisations.</p

Privacy concerns and disclosure of biometric and behavioral data for travel

In light of mounting privacy concerns over the increasing collection and use of biometric and behavioral in?formation for travel facilitation, this study examines travelers’ online privacy concerns (TOPC) and its impact on willingness to share data with travel providers. A proposed theoretical model explaining antecedents and out?comes of TOPC related to biometric and behavioral data sharing was tested using structural equation modeling with data collected from 685 travelers. The results extend the Antecedents – Privacy Concerns – Outcomes (APCO) framework by identifying a set of salient individual factors that shape TOPC. The findings provide empirical evidence confirming the context dependence of privacy preferences, showing that although travelers are concerned over their information privacy they are still willing to share their behavioral data; while in the case of biometric information, the disclosure decision is dependent upon expected benefits rather than privacy concerns. This study offers insights into privacy behavior of online consumers in the travel context and constitutes one of the few focusing on the social aspects of biometric authentication</p

Funnel plot.

Funnel plot.</p

Quality assessment questions.

Quality assessment questions.</p

PRISMA flow diagram of information through different stages of review.

PRISMA flow diagram of information through different stages of review.</p

Search strategy.

Search strategy.</p

S1 Appendix -

(DOCX)</p

Nudges in 54 papers included in the meta-analysis.

Nudges in 54 papers included in the meta-analysis.</p

Studies categorized by intervention (nudging) strategy.

Studies categorized by intervention (nudging) strategy.</p

Forest plot.

Note: Where applicable, the number of participants was adjusted by dividing the total number of participants by the number of measures and/or interventions administered to the same group of participants (denoted (i) to (vi); see ([10]). This adjustment does not affect the total number of participants. Note that, while study-level confidence intervals are wider when adjustments are made, estimates of central tendency (i.e., standardised mean difference) are unaffected.</p