It's an e-work life! An explorative study on the relationships between e-work characteristics and well-being.

This study investigates how remote e-working characteristics are related to employees' well-being in Italy. We conducted a longitudinal study with two time points and a 1-month time lag, involving a final sample of 223 employees. Controlling for the auto-regressive effects of all the outcomes, our results revealed that experiencing work-life balance during e-working was negatively associated with emotional exhaustion and social isolation, while it was positively related to career progression. Organisational trust also showed a positive relationship with career progression. Regarding well-being indicators of e-working, cognitive weariness during e-working was positively linked to emotional exhaustion, social isolation and physical complaints. Lastly, social isolation was negatively associated with subsequent perceptions of career progression. These findings contribute to a better understanding of the factors in e-work related to different well-being outcomes and can inform organisational interventions aimed at enhancing the well-being of employees working remotely.

The Antecedents of the Technology Acceptance Model in Microentrepreneurs' Intention to Use Social Networking Sites.

Social media platforms offer significant growth opportunities for enterprises, particularly microenterprises, due to the chance to establish direct contact with customers. Drawing on the Technology-Acceptance Model (TAM), in the present study, we investigate the psychological reasons that lead microentrepreneurs to use Social Networking Sites (SNSs) for their business. In doing so, we also extend TAM by taking into account entrepreneurs' personalities (e.g., extraversion and openness to experience) and their perceived risk. We collected data by examining 247 microentrepreneurs engaged in the production of handmade objects. Our results confirm that of all the TAM behavioral antecedents tested, perceived usefulness and attitude toward SNSs' usage for business proved to be the best predictors of the intention to use SNSs for business activity. The results also indicate that extraversion, openness to experience, and perceived risk, as external factors, significantly affect the TAM constructs. We discuss implications and suggestions for future research.

Enhancing critical thinking skills and media literacy in initial vocational education and training via self-nudging: The contribution of NERDVET project.

Vocational Education and Training (VET) programs are fuelled by technical and practical educational modules. The teaching staff adopts both traditional and innovative pedagogical frameworks to increase the generalization and maintenance of practical skills. At the same time, VET teachers and trainers have a few occasions to promote and include disciplines and educational programs for enhancing students' soft skills, e.g., critical thinking skills (CT) and media literacy (ML). Following the European VET framework and literature of the field, CT and ML represent a social challenge that requires even more efforts by academics, practitioners, and policymakers. Thisstudy situates into this context with the aim of introducing a novel educational approach for supporting the teaching staff in the promotion of students' CT and ML. This educational approach has been realized by the team of researchers and trainers of the NERDVET project, an Erasmus+ KA3 project devoted to the promotion of new tools and policies for enhancing CT and ML in VET. To pursue this aim, the team has employed the self-nudging model which regards the individuals' set of cognitive and behavioral strategies that individuals can develop to target a specific objective. By framing pedagogical strategies into this perspective, the team realized an initial approach for educational activities and teaching strategies to promote students' CT and ML.

From Bounded Rationality to Collective Behavior.

Since the pioneering work of Herbert A. Simon, bounded rationality (BR) constitutes a viable alternative to utility maximization in settings characterized by uncertainty about the possible emergence of novel events, missing information, and limitations to human reasoning. Because of its realism, BR gained consensus in organization and management studies. However, BR is a theory of individual decision-making. Substantial extensions are required in order to turn it into a tool to analyze collective decision processes. Following an intuition by the late Simon himself, we submit that organizations channel information flows in ways that alleviate human BR. Thus, analysis and reconstruction of their structure as well as differential degrees and qualities of individual BR within organizations is key to extend this concept to collective decision-making. In this special issue we collected contributions where instances of BR couple with interaction structures to yield collective behavior. Tools range from mathematical models to experimental settings to computational models, testifying to the value of multiple approaches and perspectives.

Testing a norm-based policy for waste management: An agent-based modeling simulation on nudging recycling behavior.

The present study uses agent-based modeling (ABM) to examine the effectiveness of a nudge policy for improving recycling behavior. In our simulation, agents' recycling behavior is computed by components of the Theory of Planned Behaviour (i.e., attitudes, perceived behavioral control, social norms) and influenced by other agents as well as their surrounding (i.e., amount of waste in the area). The simulation, based on real data from a Taiwan community district, confirms realistic recycling trends and demonstrates the usefulness and reliability of ABM as a method to examine the effectiveness of waste management policies. An additional step in our simulation was to manipulate the amount of waste in the community to test the effect of a nudge policy based on social norms. Results showed that the policy increases recycling activity, but predominantly in low waste scenarios. This suggests that nudges, in the form of norm-based policies, can be an effective solution to enhancing people's recycling behavior under specific circumstances.

Corrigendum: Viewing Meaningful Work Through the Lens of Time.

[This corrects the article DOI: 10.3389/fpsyg.2020.585274.].

Viewing Meaningful Work Through the Lens of Time.

Authors have paid considerable attention to how to define the meaningful work construct. This has led to providing comprehensive definitions in the light of different theoretical frameworks that reflect a degree of contestation within the field. Several of them have proposed definitions linked to the individuals' pervasive sense of the value of their work. Others have offered descriptions centered on their temporal, episodic nature and emphasizing the individual's occasional work experience. These definitions reflected a potential temporal condition as well as the variety of time perspectives underpinning the authors' conceptualizations of the construct. This paper conducted a broad literature review to analyze works that have adopted a temporal framework or supported a time-based definition of the construct. The analysis indicates two different conceptualizations of the construct: as a permanent/steady mindset and as a changeable/episodic experience. As a reflective paper, the present contribution develops an overall framework for views and theories on meaningful work. It reports a critical review on the matter to elevate understanding of meaningful work for further research and applied implications in work and organizational studies.

The NOTECHS+: A Short Scale Designed for Assessing the Non-technical Skills (and more) in the Aviation and the Emergency Personnel.

This research presents the development of a short scale named "NOTECHS+" to measure the Non-Technical Skills (i.e., NOTECHS: Cooperation, Leadership and Managerial skills, Decision-Making, and Situational Awareness), Resilience and Emotion Regulation, in a sector that comprises the aviation and the emergency personnel: the Helicopter Emergency Medical Service (HEMS). The design process of the scale was carried out starting from a review on the behavioral markers used to detect the NOTECHS. Moreover, 70 interviews with HEMS experts have been conducted with the aim of developing Resilience and Emotion Regulation items by considering the different professional profiles (e.g., pilots, nurses, physicians, etc.) which compose the HEMS. Through a pre-assessment procedure, a Q-Sort test was performed on a sample of students (n = 30) to test the logical principles, but also intelligibility and clarity, of the items developed. Once the instrument was defined, 211 participants from the HEMS sector were surveyed to test the theoretical model behind the NOTECHS+ instrument. First exploratory and then confirmatory analysis yielded results that suggested that the 18 items selected conform to a bi-factor model composed of three skill-dimensions: Social skills (i.e., Cooperation, and Leadership and Managerial skills), Cognitive skills (i.e., Decision-Making and Situational Awareness) and Emotional skills (i.e., Resilience and Emotional Regulation). Finally, the study ends with a discussion on the results obtained, including practical implications on assessment and training based on this novel instrument.

Theories for Computing Prosocial Behavior.

Most relevant theories of prosocial behavior aim at exploring and understanding helping motivations from an evolutionary perspective. This article summarizes findings from research on prosocial behavior from both a socio-economic and psychological perspective. Building on literature exploring the basic processes and determinant variables of helping, we propose a stochastic and dynamic model to simulate prosocial behaviors over time and recreate evolutionary processes of helping behaviors. Such a mathematical model formalizes a procedure for dynamic simulations, including agent-based modeling, which implies non-linear dynamics of prosocial processes underlying helping motivations. Practical implications for organizations and societies are addressed.

Accounting for Individual Differences in Decision-Making Competence: Personality and Gender Differences.

Emerging research has highlighted the utility of measuring individual differences in decision-making competence (DMC), showing that consistently following normatively rational principles is associated with positive psychosocial and health behaviors. From another level of analysis, functional theories of personality suggest that broad trait dimensions represent variation in underlying self-regulatory systems, providing a mechanistic account for robust associations between traits and similar life outcomes. Yet, the degree to which broad dispositional personality dimensions predict global tendencies to respond rationally is less understood. In a large online community sample (N = 804), we tested the associations between HEXACO personality dimensions, a 6-factor structural trait model, and a subset of DMC indicators (Applying Decision Rules, Resistance to Framing, Recognizing Social Norms, and Consistency in Risk Perception). Additionally, we examined gender differences across the DMC, first considering the potential for measurement non-invariance across groups for the DMC. We observed partial measurement invariance between men and women; only the Applying Decision Rules scale showed evidence of differential functioning across groups. Controlling for these differences, analyses revealed that higher Conscientiousness, Honesty/Humility, and Openness were associated with higher DMC scores. In contrast, Emotionality and Extraversion demonstrated gender-specific associations. Specifically, low Extraversion was associated with higher DMC scores for men, whereas higher Emotionality was associated with higher DMC scores for women. Our results suggest that traits related to self-regulatory functions of cognitive and behavioral control, and cognitive flexibility are associated with an increased tendency to engage in rational thought.

How Do You Manage Change in Organizations? Training, Development, Innovation, and Their Relationships.

The article aims to be a reflective paper on the interconnected concepts of training, development and innovation and the potential they have in dealing with change in organizations. We call change both the process through which something becomes different and the result of that process. Change management is the expression used to define the complex of activities, functions, and tools (such as training courses) through which an organization deals with the introduction of something new that is relevant for both its survival and growth. Training and development are labels used to define those educational activities implemented in organizations to empower the competences of workers, employees and managers in the lifelong learning perspective of improving their performance. Consequently, we define competences as those personal characteristics that allow people to be effective in the changing contexts of both workplace and everyday life. They are also necessary in organizational innovation, which is the process of transforming ideas or inventions into goods or services that generate value and for which customers will pay. Training, development, and innovation are three different but interconnected functions by which organizations manage change. What is the state of the art of the literature dealing with these topics? Here, is a critical review on the matter.

Application of Psychological Theories in Agent-Based Modeling: The Case of the Theory of Planned Behavior.

It is likely that computer simulations will assume a greater role in the next future to investigate and understand reality (Rand & Rust, 2011). Particularly, agent-based models (ABMs) represent a method of investigation of social phenomena that blend the knowledge of social sciences with the advantages of virtual simulations. Within this context, the development of algorithms able to recreate the reasoning engine of autonomous virtual agents represents one of the most fragile aspects and it is indeed crucial to establish such models on well-supported psychological theoretical frameworks. For this reason, the present work discusses the application case of the theory of planned behavior (TPB; Ajzen, 1991) in the context of agent-based modeling: It is argued that this framework might be helpful more than others to develop a valid representation of human behavior in computer simulations. Accordingly, the current contribution considers issues related with the application of the model proposed by the TPB inside computer simulations and suggests potential solutions with the hope to contribute to shorten the distance between the fields of psychology and computer science.

Decision-Making Processes in the Workplace: How Exhaustion, Lack of Resources and Job Demands Impair Them and Affect Performance.

The present study aims to connect more the I/O and the decision-making psychological domains, by showing how some common components across jobs interfere with decision-making and affecting performance. Two distinct constructs that can contribute to positive workplace performance have been considered: decision-making competency (DMCy) and decision environment management (DEM). Both factors are presumed to involve self-regulatory mechanisms connected to decision processes by influencing performance in relation to work environment conditions. In the framework of the job demands-resources (JD-R) model, the present study tested how such components as job demands, job resources and exhaustion can moderate decision-making processes and performance, where high resources are advantageous for decision-making processes and performance at work, while the same effect happens with low job demands and/or low exhaustion. In line with the formulated hypotheses, results confirm the relations between both the decision-making competences, performance (i.e., in-role and extra-role) and moderators considered. In particular, employees with low levels of DMCy show to be more sensitive to job demands toward in-role performance, whereas high DEM levels increase the sensitivity of employees toward job resources and exhaustion in relation to extra-role performance. These findings indicate that decision-making processes, as well as work environment conditions, are jointly related to employee functioning.

Who is a Distracted Driver? Associations between Mobile Phone Use while Driving, Domain-Specific Risk Taking, and Personality.

Mobile phone use while driving (MPUWD) is an increasingly common form of distracted driving. Given its widespread prevalence, it is important for researchers to identify factors that may predict who is more likely to engage in this risky behavior. The current study investigates associations between MPUWD risk behaviors, domain-specific risk perceptions, and broad personality dimensions. An Italian community sample (n = 804) completed a survey regarding MPUWD risk perceptions and engagement in MPUWD, in addition to the HEXACO-PI-R, a broad six-factor personality inventory (honesty-humility, emotionality, extraversion, agreeableness, conscientiousness, openness to experience), and the DOSPERT, a six-factor domain-specific self-report risk-taking measure (health/safety, recreational, social, ethical, gambling, and investment). With respect to domain-specific risk taking, greater frequency of SMS use while driving most strongly was associated with greater risk taking for the health/safety, gambling, and ethical risk domains. Further, greater honesty-humility and conscientiousness, two traits related to cognitive control and risk behaviors, and to a lesser extent openness to experience, were associated with less frequent MPUWD, and positively associated with MPUWD risk perceptions. With growing public safety concern surrounding MPUWD, understanding associated personality factors is not only important for identifying psychological mechanisms underlying risk behavior, but also for more effective prevention and intervention programs.

Predicting organic food consumption: A meta-analytic structural equation model based on the theory of planned behavior.

During the last decade, the purchase of organic food within a sustainable consumption context has gained momentum. Consequently, the amount of research in the field has increased, leading in some cases to discrepancies regarding both methods and results. The present review examines those works that applied the theory of planned behavior (TPB; Ajzen, 1991) as a theoretical framework in order to understand and predict consumers' motivation to buy organic food. A meta-analysis has been conducted to assess the strength of the relationships between attitude, subjective norms, perceived behavioral control, and intention, as well as between intention and behavior. Results confirm the major role played by individual attitude in shaping buying intention, followed by subjective norms and perceived behavioral control. Intention-behavior shows a large effect size, few studies however explicitly reported such an association. Furthermore, starting from a pooled correlation matrix, a meta-analytic structural equation model has been applied to jointly evaluate the strength of the relationships among the factors of the original model. Results suggest the robustness of the TPB model. In addition, mediation analysis indicates a potential direct effect from subjective norms to individual attitude in the present context. Finally, some issues regarding methodological aspects of the application of the TPB within the context of organic food are discussed for further research developments.

Grit or Honesty-Humility? New Insights into the Moderating Role of Personality between the Health Impairment Process and Counterproductive Work Behavior.

It is acknowledged that chronic job demands may be depleting workers' stamina resulting in burnout conditions and ultimately causing further health problems. This relation, known as health impairment process, has recently been considered as a possible explanation for the emergence of counterproductive work behavior (CWB). The present work aims to examine the role of two personality traits (i.e., Grit and Honesty-Humility) in this process. The results, based on a sample of 208 private service sector employees, confirm the presence of a fully mediated process and show how Honesty-Humility positively moderates the relationship between job demands and exhaustion, whereas Grit has a negative effect on the relation between exhaustion and CWB. Implications for assessment procedure and hiring decisions are discussed.

Decision-making competence predicts domain-specific risk attitudes.

Decision-making competence (DMC) reflects individual differences in rational responding across several classic behavioral decision-making tasks. Although it has been associated with real-world risk behavior, less is known about the degree to which DMC contributes to specific components of risk attitudes. Utilizing a psychological risk-return framework, we examined the associations between risk attitudes and DMC. Italian community residents (n = 804) completed an online DMC measure, using a subset of the original Adult-DMC battery. Participants also completed a self-reported risk attitude measure for three components of risk attitudes (risk-taking, risk perceptions, and expected benefits) across six risk domains. Overall, greater performance on the DMC component scales were inversely, albeit modestly, associated with risk-taking tendencies. Structural equation modeling results revealed that DMC was associated with lower perceived expected benefits for all domains. In contrast, its association with perceived risks was more domain-specific. These analyses also revealed stronger indirect effects for the DMC → expected benefits → risk-taking path than the DMC → perceived risk → risk-taking path, especially for behaviors that may be considered more maladaptive in nature. These results suggest that DMC performance differentially impacts specific components of risk attitudes, and may be more strongly related to the evaluation of expected value of a specific behavior.