Innovation Ecosystems encompass a set of stakeholders that establish collaborative relationships in order to enhance innovation outcomes. At the same time, Learning Factories are frequently implemented as a result of a joint endeavor involving several stakeholders. Current literature exploring...

Teaching collaborative robots to non-experts/laypersons has been an ongoing research topic to unfold the promising possibilities of this technology in manufacturing. A teaching concept was designed, implemented as a comprehensive one-day workshop, conducted and evaluated in several EU countries...

I show that the well-documented pre-FOMC drift and high returns on FOMC day are realized only on the small subset of FOMC days preceded by key macro data releases. On the other two-thirds of all FOMC days, there is neither drift nor any announcement premium. Predictors of pre-FOMC drift (VIX and...

This paper argues that the persistence of greenfield foreign direct investment (FDI) comesfrom information frictions. First, our simple social learning model shows that, through signaling effects, information frictions generate persistent greenfield FDI inflows. Second, we show empirically that...

Peer production, which combines technological, organizational, and institutional advances to enable diverse individuals to socialize, communicate, coordinate, and integrate otherwise fragmented knowledge resources, is one of the most noteworthy Internet-mediated organizational innovations. Among...

We consider the problem of maximizing charity donations with personalized recommendations on crowd-sourcing platforms, when donor preferences are unknown. One salient feature of these platforms is that campaign recommendations do not always result in a donation. A donation is observed only when...

Segregated Fund is a special investment fund to provide capital appreciation with embedded insurance features. The traditional methodology to estimate the capital reserve and pricing of contracts goes to Monte-Carlo based stochastic models due to its complexity.Recent research has introduced a...

Infiltration of machine learning (ML) methods into econometrics has remained relatively slow, compared with their extensive applications in many other disciplines. The bottleneck is traced to two key factors – a communal nescience of the theoretical foundation of ML and an outdated probability...

There are plenty of human-centred research questions in production science. So far, the focus of the analysis is skewed towards technical considerations. Decision experiments, however, provide a promising approach to gain insights from a human perspective by using learning factories as...

This paper covers the role of learning, training, and development in organizations. Examined the difference and similarities between HRD and HRM using the HRD Compass. Besides that, it uncovered the role of HRD in the HR functional areas that used to be primarily handled by HRM specialists