Improving organizational learning through leadership training

Purpose: Managers play a crucial role in providing opportunities to employees for learning. Although scholars have called for intervention research on the effects of leadership development on organizational learning, no such research is currently available. This paper evaluates whether training of managers at workplaces can improve organizational learning. Methodology: The training program consisted of theoretical and practical elements aimed to improve line managers’ transformational leadership behaviors and, in turn, improve organizational learning. The study used a pre- and post-intervention evaluation survey. Line managers’ and their subordinates' perceptions of organizational learning were measured with the Dimensions of Organizational Learning Questionnaire and with post-intervention single items on organizational learning. Findings: Comparisons between pre-and post-intervention assessments revealed that managers’ ratings of Continuous Learning and employees' ratings of Empowerment and Embedded Systems improved significantly as a result of the training. The leadership training intervention had positive effects on managers' perceptions of individual-level and on employees' perceptions of organizational-level aspects of organizational learning. Originality/value: The study provides empirical evidence that organizational learning can be improved through leadership training. Both line managers and their subordinates perceived that organizational learning had increased after the training intervention, albeit in different ways. Implications for developing leadership training programs and for evaluating these are discussed

Benomyl Effects on Plant Productivity through Arbuscular Mycorrhiza Restriction in a Greek Upland Grassland

Interactions between plants and microbes are important for plant community structure. Many plants establish symbioses with arbuscular mycorrhizal (AM) fungi, which play a central role in soil fertility, plant nutrition and the maintenance of stability and biodiversity within plant communities by improving uptake of nutrients and water. AM fungi can improve growth/performance in a variety of plant species by influencing intra- and interspecific competition of neighbouring plants and thus regulate coexistence and diversity in mixed communities. The aim was to study AMF effects on plant productivity and diversity in Greek upland grasslands

An effect evaluation of the psychosocial work environment of a university unit after a successfully implemented employeeship program

Purpose: This study examined whether a successful implementation of an intervention could result in an effect evaluated independently from a process evaluation. It achieved this by evaluating the effects of an intervention, the ‘employeeship program’, designed to strengthen the psychosocial work environment through raising employees’ awareness and competence in interpersonal relationships and increasing their responsibility for their everyday work and working environment. Design/methodology/approach: An employeeship intervention program was developed to improve the psychosocial work environment through reducing conflict among employees and strengthening the social community, empowering leadership, and increasing trust in management. An earlier process evaluation of the program found that it had been implemented successfully. The present effect evaluation supplemented this by examining its effect on the psychosocial work environment using two waves of the organization’s internal survey and comparing changes in the intervention unit at two points and against the rest of the organization. Findings: The intervention was effective in improving the psychosocial work environment through reducing conflicts among employees and strengthening the social community, empowering leadership, and increasing trust in management. Research limitations/implications: More attention should be paid to developing and increasing positive while simultaneously reducing negative psychosocial experiences, as this employeeship intervention demonstrated. Practical implications: An intervention focusing on employeeship is an effective way to achieve a healthier psychosocial work environment with demonstrable benefits for individuals and the working unit. Originality/value: Although organizational-level interventions are complex processes, evaluations that focus on process and effect can offer insights into the workings of successful interventions

Job demands, job control, psychological climate, and job satisfaction: a cognitive dissonance perspective

Purpose: Research into job design and employee outcomes has tended to examine job design in isolation of the wider organizational context, leading to calls to attend to the context in which work is embedded. This study examines the effects of the interaction between job design and psychological climate on job satisfaction. Design/approach: Cognitive Dissonance Theory was used to explore the nature of this relationship and its effect on job satisfaction. We hypothesized that psychological climate (autonomy, competence, relatedness dimensions) augments favourable perceptions of job demands and control when there is consistency between them (augmentation effect) and compensates for unfavourable perceptions when they are inconsistent (compensation effect). Findings: Analysis of data from 3,587 individuals partially supported the hypotheses. Compensation effects were observed for job demands under a high autonomy and competence climate and for job control under a low competence climate. Augmentation effects were observed for job demands under a high relatedness climate. Research implications: Psychological climate has the power to enhance or reduce the effects of job design and this may extend to other outcomes such as performance and commitment. Practical implications: Well-designed and high-quality jobs should take into account the effects of psychological climate on employee outcomes. Originality/value: This study has offered a way to bridge the job design and psychological climate fields and demonstrated that the call for more attention to the context in which jobs are embedded is worth heeding

Diagnostic Clinical and Laboratory Findings in Response to Predetermining Bacterial Pathogen: Data from the Meningitis Registry

BACKGROUND: Childhood meningitis continues to be an important cause of mortality in many countries. The search for rapid diagnosis of acute bacterial meningitis has lead to the further exploration of prognostic factors. This study was scheduled in an attempt to analyze various clinical symptoms as well as rapid laboratory results and provide an algorithm for the prediction of specific bacterial aetiology of childhood bacterial meningitis. METHODOLOGY AND PRINCIPAL FINDINGS: During the 32 year period, 2477 cases of probable bacterial meningitis (BM) were collected from the Meningitis Registry (MR). Analysis was performed on a total of 1331 confirmed bacterial meningitis cases of patients aged 1 month to 14 years. Data was analysed using EPI INFO (version 3.4.3-CDC-Atlanta) and SPSS (version 15.0-Chicago) software. Statistically significant (p<0.05) variables were included in a conditional backward logistic regression model. A total of 838 (63.0%) attributed to Neisseria meningitidis, 252 (18.9%) to Haemophilus influenzae, 186 (14.0%) to Streptococcus pneumoniae and 55 (4.1%) due to other bacteria. For the diagnosis of Meningococcal Meningitis, the most significant group of diagnostic criteria identified included haemorrhagic rash (OR 22.36), absence of seizures (OR 2.51), headache (OR 1.83) and negative gram stain result (OR 1.55) with a Positive Predictive Value (PPV) of 96.4% (95%CI 87.7-99.6). For the diagnosis of Streptococcus pneumoniae, the most significant group of diagnostic criteria identified included absence of haemorrhagic rash (OR 13.62), positive gram stain (OR 2.10), coma (OR 3.11), seizures (OR 3.81) and peripheral WBC > or = 15000/microL (OR 2.19) with a PPV of 77.8% (95%CI 40.0-97.2). For the diagnosis of Haemophilus influenzae, the most significant group of diagnostic criteria included, absence of haemorrhagic rash (OR 13.61), age > or = 1 year (OR 2.04), absence of headache (OR 3.01), CSF Glu < 40 mg/dL (OR 3.62) and peripheral WBC < 15,000/microL (OR 1.74) with a PPV of 58.5% (95%CI 42.1-73.7). CONCLUSIONS: The use of clinical and laboratory predictors for the assessment of the causative bacterial pathogen rather than just for predicting outcome of mortality seems to be a useful tool in the clinical management and specific treatment of BM. These findings should be further explored and studied

The use of artificial intelligence in a military context: development of the attitudes toward AI in defense (AAID) scale

Introduction: The use of artificial intelligence (AI) for national defense is a matter of high societal significance and ongoing public discourse, but very little is known about public acceptance of AI in defense contexts. Currently, there is no reliable and valid measure of attitudes towards AI in defense, and more general attitudinal measures on AI use are unlikely to capture relevant perceptions and opinions. A measure was therefore developed for the assessment of Attitudes towards AI in Defense (AAID), and this work presents the initial validation of this scale. Methods: A total of 1,590 participants (aged 19-75, M = 45.7, SD = 16.1) completed a self-report questionnaire which included an initial item pool of 29 attitudinal statements related to the use of AI in defense. An additional general attitude towards AI scale was also included to assess the concurrently validity of the AAID scale. The AAID underwent initial statistical validation via exploratory factor analysis and confirmatory factor analysis to test the underlying structure of the newly developed scale. Results: Items reduction and exploratory factor analysis resulted in a final scale consisting of 15 items. A final two factor solution explained 42.52% of the variance (Factor 1 = 22.35%, Factor 2 = 20.17%). Factor 1 was termed “Positive outcomes” and reflected the potential and anticipated consequences of implementing AI in defense. Factor 2 was termed “Negative Outcomes” and reflected the potential negative outcomes for AI in defense. The scale also exhibited acceptable internal reliability and current validity. Discussion: The newly developed AAID presents a new measurement tool which has the capacity to assess current attitudes towards AI in defense. Such work is essential if further developments in AI in defense are to continue with the support of the public. However, the work also notes that there are some key concerns and barriers that could block further developments in the area, with further work needed to explore how such anxieties are driven by narratives related to the topic

Resilience training programs with police forces: a systematic review

Through the course of their career, it is expected that police officers are exposed to stressful and emotionally challenging environments, which, combined with well-known organizational and occupational stressors, makes this professional class vulnerable to several psychological and medical conditions. In recent years, there has been a growing interest in developing intervention programs that seek to minimize the impact of the changing nature of police work within a changing society and promote skills that enable police officers to deal more effectively with the current and future challenges. Therefore, the aim of this review is to systematize resilience training intervention programs and characterize their format, content, and efficacy. For that purpose, we searched four databases for resilience programs delivered to the police. We reached a final sample of 32 articles from a total of 550 published studies. The articles considered were divided into three main groups: mindfulness-based resilience interventions (n = 13), neurobiological-based resilience interventions (n = 13), and other resilience training interventions that did not fit in the previous categories (n = 6). There was much inter-intervention variability, mainly concerning their structure and approach. However, the intervention programs were relatively uniform in the topics covered, such as psychoeducation, police scenario simulation, and debriefing. Nonetheless, most studies found positive outcomes on the variables of interest, predominantly clinical and performance indicators (e.g., stress, anxiety, decision-making). Subsequent research endeavors could aim to determine the most reliable measure outcome measures for resilience variables and intervention efficacy, as alongside identifying pivotal occupational factors crucial to a robust and impactful resilience intervention

Research priorities for the COVID-19 pandemic and beyond: A call to action for psychological science

The severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) that has caused the coronavirus disease 2019 (COVID-19) pandemic represents the greatest international biopsychosocial emergency the world has faced for a century, and psychological science has an integral role to offer in helping societies recover. The aim of this paper is to set out the shorter- and longer-term priorities for research in psychological science that will (a) frame the breadth and scope of potential contributions from across the discipline; (b) enable researchers to focus their resources on gaps in knowledge; and (c) help funders and policymakers make informed decisions about future research priorities in order to best meet the needs of societies as they emerge from the acute phase of the pandemic. The research priorities were informed by an expert panel convened by the British Psychological Society that reflects the breadth of the discipline; a wider advisory panel with international input; and a survey of 539 psychological scientists conducted early in May 2020. The most pressing need is to research the negative biopsychosocial impacts of the COVID-19 pandemic to facilitate immediate and longer-term recovery, not only in relation to mental health, but also in relation to behaviour change and adherence, work, education, children and families, physical health and the brain, and social cohesion and connectedness. We call on psychological scientists to work collaboratively with other scientists and stakeholders, establish consortia, and develop innovative research methods while maintaining high-quality, open, and rigorous research standards