An Example of Data Technology Product: A Control Chart for Weibull Processes

This work proposes a new Shewhart-type control chart of the Weibull percentile (i.e. the reliable life) as a practical example of a product attained following the Data Technology (DT) approach. DT is briefly introduced as a new discipline defined apart from Information Technology (IT). Following this approach, some specific Bayes estimators are selected from literature and then used to build the above new chart. These estimators allow to improve the control making use of any available kind of data (statistical and non-statistical). The operative steps of DT approach are fully explained. The results are illustrated by means of a real applicative example.     

DOES INITIAL ACCESS TO BANK LOANS PREDICT START‐UPS' FUTURE DEFAULT PROBABILITY? EVIDENCE FROM ITALY

In Europe, several countries have established public loan guarantee funds throughout direct/indirect loan programs to facilitate the access of SMEs and start‐ups to bank credit. This paper investigates whether start‐ups' level of access to bank loans during the early stage represents an imprinting factor with effects on the likelihood of survival once the firm reaches maturity. We rely on a firm‐level longitudinal data set of 49,111 Italian startups born from 2003 to 2005. Implementing a 2SLS regression analysis we show that the initial level of start‐up bank debt negatively influences the probability of default controlling for firm characteristics and performance. (JEL G21, M20, H32)     

How songs from growing up and viewers' attachment styles affect video ads' effectiveness

We propose that the positive effect of coming-of-age songs on ad effectiveness arises from a mediation process where the music-evoked interpersonal memories of growing up stored in the brain and their accompanying emotions inevitably play a role, but not so straightforwardly as previously suggested. Rather, their effects work through the heightened familiarity of and peaked preferences for coming-of-age songs. We also propose that these sequentially mediated effects are moderated by viewers' developmental attachment styles. We test and find support for these propositions in three multimethod studies with more than 1200 participants born between the 40s and the mid-70s and almost 60 popular songs released between the 60s and the 2010s. We discuss the implications of our findings, namely for age-segmented video ads, and suggest future research directions.