Affect and Cognition in Managerial Decision Making: A Systematic Literature Review of Neuroscience Evidence

How do affect and cognition interact in managerial decision making? Over the last decades, scholars have investigated how managers make decisions. However, what remains largely unknown is the interplay of affective states and cognition during the decision-making process. We offer a systematization of the contributions produced on the role of affect and cognition in managerial decision making by considering the recent cross-fertilization of management studies with the neuroscience domain. We implement a Systematic Literature Review of 23 selected contributions dealing with the role of affect and cognition in managerial decisions that adopted neuroscience techniques/points of view. Collected papers have been analyzed by considering the so-called reflexive (X-) and reflective (C-) systems in social cognitive neuroscience and the type of decisions investigated in the literature. Results obtained help to support an emerging “unified” mind processing theory for which the two systems of our mind are not in conflict and for which affective states have a driving role toward cognition. A research agenda for future studies is provided to scholars who are interested in advancing the investigation of affect and cognition in managerial decision making, also through neuroscience techniques – with the consideration that these works should be at the service of the behavioral strategy field

Estimating Successful Internal Mobility: A Comparison Between Structural Equation Models and Machine Learning Algorithms

Internal mobility often depends on predicting future job satisfaction, for such employees subject to internal mobility programs. In this study, we compared the predictive power of different classes of models, i.e., (i) traditional Structural Equation Modeling (SEM), with two families of Machine Learning algorithms: (ii) regressors, specifically least absolute shrinkage and selection operator (Lasso) for feature selection and (iii) classifiers, specifically Bagging meta-model with the k-nearest neighbors algorithm (k-NN) as a base estimator. Our aim is to investigate which method better predicts job satisfaction for 348 employees (with operational duties) and 35 supervisors in the training set, and 79 employees in the test set, all subject to internal mobility programs in a large Italian banking group. Results showed average predictive power for SEM and Bagging k-NN (accuracy between 61 and 66%; F1 scores between 0.51 and 0.73). Both SEM and Lasso algorithms highlighted the predictive power of resistance to change and orientation to relation in all models, together with other personality and motivation variables in different models. Theoretical implications are discussed for using these variables in predicting successful job relocation in internal mobility programs. Moreover, these results showed how crucial it is to compare methods coming from different research traditions in predictive Human Resources analytics

COVID-19 and Stressful Adjustment to Work: A Long-Term Prospective Study About Homeworking for Bank Employees in Italy

The COVID-19 evolution has forced the massive introduction of homeworking (HW) for most employees in the initial stages of the pandemic and then return to work, mainly due to the vaccination campaign. These multiple abrupt adjustment demands in work may be a source of intense stress for office workers with consequences on wellbeing and the quality of life. This long-term prospective study aimed at investigating the effect of adaptation demands on a broad population of employees of a large Italian banking group in the job-related stress framework. We administered a web-based survey to 1,264 participants in Reopening after the first lockdown, from June to October 2020, at 841 subjects in Second Wave, corresponding to the rise of contagions from November 2020 to January 2021, and to 491 individuals in Vaccination Round, which ranged from February to June 2021. We assessed workaholism by using the Dutch Work Addiction Scale (DUWAS-10), work-family conflicting overlap by using the Work and Family Conflict Scale (WAFCS), and concern for back to work (BW) and for HW by specific questions. Higher WAFCS scores characterized Reopening and Vaccination Round while Second Wave had the highest level of concern for HW. Women and younger individuals showed the highest concern for BW, WAFCS, and DUWAS-10 scores regardless of the pandemic stage. HW days per week were related to more heightened concern for BW and lower concern for HW, DUWAS, and WAFCS scores. The number of children was related to lower Concern for BW and higher WAFCS scores in Reopening and Second Wave. Our data showed that massive adjustment demands in work and family routine represented a significant source of stress for employees, regardless of the different pandemic stages. The highest level of fatigue emerged in women and younger subjects. These results shed light on the need for a road map to promote a gradual and structured adjustment for workers and encourage organizations to consider homeworking as a valid stable alternative

ON-THE-JOB TRAINING GENERICO IN MERCATI DEL LAVORO IMPERFETTI: MODELLI, EVIDENZA EMPIRICA ED IMPLICAZIONI DI POLICY

In questo lavoro verranno prima descritti i modelli base di training (detti anche modelli di Becker) che hanno come caratteristica comune quella di assumere un mercato del lavoro perfettamente concorrenziale, per poi andare a rimuovere l’ipotesi di perfetta concorrenzialità del mercato del lavoro e vedere come cambiano le decisioni in materia di formazione in questo nuovo contesto. Nel terzo capitolo verranno confrontati i risultati trovati nei capitoli precedenti con la realtà empirica per valutare se c’è corrispondenza tra le teorie enunciate ed i dati reali; nel quarto capitolo, infine, verranno illustrate le caratteristiche dei programmi di apprendistato e le implicazioni di policy (in materia di formazione generica) più efficienti

Preclinical Development of the Na-K-2Cl Co-transporter‑1 (NKCC1) Inhibitor ARN23746 for the Treatment of Neurodevelopmental Disorders

Alterations in the expression of the Cl– importer Na-K-2Cl co-transporter-1 (NKCC1) and the exporter K-Cl co-transporter 2 (KCC2) lead to impaired intracellular chloride concentration in neurons and imbalanced excitation/inhibition in the brain. These alterations have been observed in several neurological disorders (e.g., Down syndrome and autism). Recently, we have reported the discovery of the selective NKCC1 inhibitor “compound ARN23746” for the treatment of Down syndrome and autism in mouse models. Here, we report on an extensive preclinical characterization of ARN23746 toward its development as a clinical candidate. ARN23746 shows an overall excellent metabolism profile and good brain penetration. Moreover, ARN23746 is effective in rescuing cognitive impairment in Down syndrome mice upon per os administration, in line with oral treatment of neurodevelopmental disorders. Notably, ARN23746 does not present signs of toxicity or diuresis even if administered up to 50 times the effective dose. These results further support ARN23746 as a solid candidate for clinical trial-enabling studies

Thyroid papillary carcinoma: preliminary evidence for a germ-line single nucleotide polymorphism in the Fas gene

The expression of Fas in thyroid tumours and Graves\u2019 disease was analysed by mRNA transcript expression. As compared with unaffected thyroid tissue, Fas expression was enhanced in Graves\u2019 disease, adenomas, and papillary and follicular carcinomas. This pattern was also reflected in immunohistochemical studies. The PCR single-strand conformational polymorphism (SSCP) method and DNA sequencing were used to analyse Fas exons 1\u20139. The study was carried out on five different histotypes of thyroid tumours (n=93) and tissue from Graves\u2019 disease patients. As compared with a group of healthy blood donors (n=64), a significant association (P=0\ub7006) emerged between papillary thyroid carcinoma and a silent single nucleotide polymorphism (SNP, 988CT) in exon 7 of the Fas gene. Other forms of thyroid pathology were not associated with the above polymorphism. Patients with neoplasia showed the same SNP in tumour tissue, in the unaffected contralateral thyroid lobe, and in peripheral blood cells. Thus, the 988CT polymorphism appeared to be of germ-line origin

Thyroid papillary carcinoma: preliminary evidence for a germ-line single nucleotide polymorphism in the Fas gene

The expression of Fas in thyroid tumours and Graves' disease was analysed by mRNA transcript expression. As compared with unaffected thyroid tissue, Fas expression was enhanced in Graves' disease, adenomas, and papillary and follicular carcinomas. This pattern was also reflected in immunohistochemical studies. The PCR single-strand conformational polymorphism (SSCP) method and DNA sequencing were used to analyse Fas exons 1-9. The study was carried out on five different histotypes of thyroid tumours (n = 93) and tissue from Graves' disease patients. As compared with a group of healthy blood donors (n = 64), a significant association (P = 0.006) emerged between papillary thyroid carcinoma and a silent single nucleotide polymorphism (SNP, 988C-->T) in exon 7 of the Fas gene. Other forms of thyroid pathology were not associated with the above polymorphism. Patients with neoplasia showed the same SNP in turnout tissue, in the unaffected contralateral thyroid lobe, and in peripheral blood cells. Thus, the 988C-->T polymorphism appeared to be of germ-line origin