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In einem Online-Experiment mit 472 Personen wird die Bedeutung des Akzents von Bewerbern untersucht. Die Pbn hören ein Telefoninterview, in dem eine Bewerberin entweder hochdeutsch, mit bayerischem oder sächsischem Akzent spricht. Anschließend bewerten sie diese hinsichtlich einer Vielzahl von Eigenschaften. Im Ergebnis zeigt sich ein sehr großer Haupteffekt (Eta2=.24) des Akzents. Die sächsisch sprechende Bewerberin wird im Vergleich zu einer hochdeutsch bzw. einer mit bayerischem Akzent sprechenden Bewerberin als weniger leistungsorientiert und sozial kompetent erlebt. Zudem würde sie mit geringerer Wahrscheinlichkeit zu einem nachfolgenden Interview eingeladen oder eingestellt werden. Die bayerisch sprechende Bewerberin ist nur in zwei Punkten im Nachteil gegenüber einer hochdeutsch sprechenden: sie wird als weniger leistungsorientiert wahrgenommen und erhält mit geringerer Wahrscheinlichkeit eine direkte Stellenzusage. Die berufliche Erfahrung mit Personalauswahlprozessen schützt nicht vor derartigen Urteilsverzerrungen. Beurteiler, die selbst mit Akzent sprechen, weisen geringfügigere Verzerrungseffekte auf, allerdings nur bezogen auf den bayerischen Akzent.
Lean Management in der Lebensmittelindustrie - Zukünftige Perspektiven für effizientere Prozesse
(2019)
In this paper, we introduce a framework to identify domain specific use cases for smart glasses in the domain of logistics services. We further present and evaluate our framework through its application in a single case study in a wholesale warehouse. We contribute to theory and practice by presenting an approach to identify, define and describe application scenarios for the adoption of smart glasses in the logistics domain, and by enriching the current body of knowledge on digitalization, service support systems and wearables. Therefore, our research falls into line with the second topic. We directly address current challenges in logistics, one of Germany’s major economic sectors, regarding the implementation of new or advanced services with smart glasses. The presented case study is embedded in the digitalization project Glasshouse. The processes of two logistics services providers are the main research subjects in this project. In contrast to this, we focus on a third logistic service provider in this paper, to evaluate the transferability of our findings.
The development of augmented reality glasses is still ongoing and faces barriers in diffusion and concerns about their impact on users, organizations and society. The study aims to find sufficient solutions for this struggling digital innovation and to provide guidance for the implementation of augmented reality glasses in design-oriented projects. During a 3-year consortium research, acceptance and privacy have been identified as major phenomena that influence the adoption of augmented reality glasses in the logistics domain. To forge ahead digital innovation research, the focus of the presented research lies on the diffusion of this technology with design knowledge for the development of augmented reality glasses-based systems. Evidence and artifacts contribute to the still limited knowledge of system design based on augmented reality glasses from a domain-specific instantiation and an implementation framework.
Design knowledge on smart glasses-based systems is scarce. Utilizing literature analysis on software development publications, insights from the design and implementation of four smart glasses-based systems and expert interviews, we elicited 16 design principles to provide guidance in the development of future service support systems. Heuristic Theorizing is an abductive Design Science Research method, hitherto far too little known or little noticed, which was applied to conduct the research. We contribute to theory and practice with applicable design principles to support the development of smart glasses-based systems. Phenomena known to have an impact on the adoption of smart glasses are addressed by these design principles.
Positive factors are increasingly recognized in the field of psychology, however, few studies have investigated the longitudinal measurement invariance (LMI) and reciprocal associations of positive core constructs, such as happiness, life satisfaction and positive mental health. This study evaluated the LMI of these constructs over four years in a Chinese Student Sample (n = 4400) using the Subjective Happiness Scale (SHS), the Satisfaction with Life Scale (SWLS) and the Positive Mental Health Scale (PMH-scale). The longitudinal reciprocal associations of the constructs were examined within a random intercept cross-lagged panel model (RI-CLPM). The results show that the SHS, SWLS and PMH-scale are measurement invariant over time and that the constructs are positively inter-related, but show different reciprocal patterns over time.