: Applicants' experiences with discrimination explain their reactions to algorithms in personnel selection

Algorithms might prevent prejudices and increase objectivity in personnel selection decisions, but they have also been accused of being biased. We question whether algorithm-based decision-making or providing justifying information about the decision-maker (here: to prevent biases and prejudices and to make more objective decisions) helps organizations to attract a diverse workforce. In two experimental studies in which participants go through a digital interview, we find support for the overall negative effects of algorithms on fairness perceptions and organizational attractiveness. However, applicants with discrimination experiences tend to view algorithm-based decisions more positively than applicants without such experiences. We do not find evidence that providing justifying information affects applicants—regardless of whether they have experienced discrimination or not.     

The impact of customer engagement on customer happiness

Previous studies have found relationships between variables that predict happiness and engagement. While this suggests that engagement is a basis for generating customer happiness, the literature does not provide sufficient confirmatory evidence. Thus, the effects of different engagement intensities remain unclear. Focusing on conditions related to the Starbucks brand, this study analyzed how (1) passive and active engagement impacted customer happiness and (2) happiness impacted word of mouth (WOM) and purchase intention. Data were collected through an online survey among 802 Peruvian customers, all of whom were recruited via non-probabilistic sampling. Because two exogenous variables were considered formative (i.e., customer engagement and customer happiness), a partial least-squares structural equation model (PLS-SEM) was used for the analysis. In sum, engagement (both passive and active) significantly and positively impacted customer happiness, which then positively impacted WOM and purchase intention. Given that engagement is associated with variables that are broadly related to happiness, this study makes new contributions by (i) clarifying how customer engagement can generate customer happiness, (ii) identifying differences between active and passive engagement, and (iii) adding evidence for use in the debate on the purpose of marketing and traditional practices such as engagement. As discussed in the paper, these findings have theoretical and practical implications for brand managers.     

One-year prediction of cognitive decline following cognitive-stimulation from real-world data

Clinical evidence based on real-world data (RWD) is accumulating exponentially providing larger sample sizes available, which demand novel methods to deal with the enhanced heterogeneity of the data. Here, we used RWD to assess the prediction of cognitive decline in a large heterogeneous sample of participants being enrolled with cognitive stimulation, a phenomenon that is of great interest to clinicians but that is riddled with difficulties and limitations. More precisely, from a multitude of neuropsychological Training Materials (TMs), we asked whether was possible to accurately predict an individual's cognitive decline one year after being tested. In particular, we performed longitudinal modelling of the scores obtained from 215 different tests, grouped into 29 cognitive domains, a total of 124,610 instances from 7902 participants (40% male, 46% female, 14% not indicated), each performing an average of 16 tests. Employing a machine learning approach based on ROC analysis and cross-validation techniques to overcome overfitting, we show that different TMs belonging to several cognitive domains can accurately predict cognitive decline, while other domains perform poorly, suggesting that the ability to predict decline one year later is not specific to any particular domain, but is rather widely distributed across domains. Moreover, when addressing the same problem between individuals with a common diagnosed label, we found that some domains had more accurate classification for conditions such as Parkinson's disease and Down syndrome, whereas they are less accurate for Alzheimer's disease or multiple sclerosis. Future research should combine similar approaches to ours with standard neuropsychological measurements to enhance interpretability and the possibility of generalizing across different cohorts.     

The co‐construction of joint action between mothers and 2–4‐month‐old infants: the mother's role

The purpose of this longitudinal study was to describe object‐centred interactions between mothers and their 2–4‐month‐old infants, before and during the emergence of reaching and grasping movements. We hypothesized that when reaching movements emerge at around 3 months, mothers alternate between attention stimulation and reaching stimulation, before joint actions between mother and infant develop around objects. Twelve dyads were recorded when infants were 2 months, 3 months and 4 months. The interactive sessions lasted 5 min. Three age‐appropriate toys the infant could handle were available to the mother. A principal component analysis (PCA) was performed on verbal and non‐verbal maternal behaviours, motor infant behaviours and co‐occurrences of those behaviours. The developmental course of prehension in infants when playing with their mother follows similar pathways, as was described when they are observed alone. Mothers appeared to early scaffold prehension skills by verbal and non‐verbal means. Moreover, maternal behaviours change according to the infant's behaviour, and conversely, infant's behaviours influence maternal behaviours: mother plays first an active part in joint action, while later on, the infant achieves joint action when motor skills develop. Copyright © 2000 John Wiley & Sons, Ltd.     

On a Contraction-Less Intuitionistic Propositional Logic with Conjunction and Fusion

In this paper we prove the equivalence between the Gentzen system G _LJ*\c , obtained by deleting the contraction rule from the sequent calculus LJ* (which is a redundant version of LJ), the deductive system IPC*\c and the equational system associated with the variety RL of residuated lattices. This means that the variety RL is the equivalent algebraic semantics for both systems G _LJ*\c in the sense of [18] and [4], respectively. The equivalence between G _LJ*\c and IPC*\c is a strengthening of a result obtained by H. Ono and Y. Komori [14, Corollary 2.8.1] and the equivalence between G _LJ*\c and the equational system associated with the variety RL of residuated lattices is a strengthening of a result obtained by P.M. Idziak [13, Theorem 1].An axiomatization of the restriction of IPC*\c to the formulas whose main connective is the implication connective is obtained by using an interpretation of G _LJ*\c in IPC*\c.     

The Revival of Orthodox Mission in New Borders and the Holy and Great Council of the Orthodox Church

One of the critical issues emphasized at the Holy and Great Council of the Orthodox Church in Crete in 2016 was that of the witness of Orthodoxy in the modern world, as expressed in the Message and Encyclical of the council, and in the council document on the Mission of the Orthodox Church. This paper traces the revival of foreign mission and witness within the Orthodox Church since the late 1950s and how it came to fruition at the council in Crete.     

Findings on the relationship between Internet addiction and psychological symptoms in Brazilian adults

This study evaluated the prevalence of Internet addiction (IA) and its association with negative psychological symptoms in Brazilian adults. A network analysis was conducted to estimate specific variables and their expected influence on IA. In this cross-sectional study, 15,476 adults (M_age = 37.5, SD = 9.59) completed an open web-based survey. Three questionnaires were used: the Internet Addiction Test (IAT), Depression Anxiety and Stress Scale (DASS-21) and Satisfaction With Life Scale (SWLS). Based on IAT scores, participants were classified as No-Risk user (NRU), Low-Risk user (LRU) or High-Risk user (HRU). We observed that 4.8% of the participants were classified in the HRU group. In addition, their risk for severe symptoms of depression was 10 times higher and, for anxiety, seven times higher than that in the NRU group (p < .001). Time spent using smartphones was also significantly higher in the HRU group (M_hours = 5.1, p < .001). The main factors associated with IA were depression, gender and anxiety, but the variable “having children” was the most influential in the IA network. These findings suggest that psychiatric symptoms are the main factors associated with IA among the adult population.