Search results

Given the exponential and massive technological disruption in work that Industry 4.0 will lead to, nowadays, authors and practitioners within the field of education and training are witnessing increased attention on the features of and threats to employability and integration in current labor transformations. The purpose of this paper is to address current education and training challenges as related to the fourth industrial revolution by investigating which skills and competences will be crucial for the 4.0 era.

A qualitative field study with semi-structured interviews has been conducted. Qualitative data on a sample of N = 16 vocational training experts has been analyzed via the grounded theory approach for a bottom-up perspective on Industry 4.0 competences.

Data analysis revealed a partial consensus between current scientific literature and practitioners' views on skills and competences for Industry 4.0. Indeed, practioners support the need for a mix of competences comprising the broad group of disciplines of STEM (science, technology, engineering, and mathematics), technical skills and transversal competences. Moreover, the perspective of practitioners supports a multilevel comprehension of the needs of Industry 4.0 for education and training. Drawing on these findings, an evaluation tool for an applied field intervention for inclusion in the labor market is proposed.

The paper advances current knowledge within the field of education and training by proposing a novel perspective to address market integration as a means to tackle the risk of technological disruption.

The construct of meaningful work is a relevant topic for the managerial literature interested in job design, employees’ motivation, and job performance. The current research seeks to improve our knowledge on meaningful work by exploring the processes by which a workday is experienced as meaningful.

Adopting the lens of the Job Demands-Resources model and Self-Determination theory, we argue that work conditions and psychological conditions are associated with the experience of meaningful work on a daily basis. Moreover, we propose that the experience of meaningful work on a long-term basis (i.e. the evaluation of one’s own work as holding significance per se) intensifies the associations between daily conditions and the experience of meaningful work. We collected data via an event-based longitudinal diary study for a total sample of N = 114 employees from six organizations and N = 545 observations.

Results of the multilevel analysis showed that competence and task significance led to the experience of meaningful work during working days. Moreover, cross-level analyses revealed that these associations are stronger for employees who experience their work to be meaningful in the long-term.

The novelty of the present study lies in highlighting the role of specific factors contributing to the experience of meaningful work during a workday. These findings help specify targets and organizational and individual dimensions to be addressed by managerial interventions to ensure employees' meaningful work experience.

The way in which managers differ when confronted with risky options or when evaluating different alternatives constitutes a fundamental part of organizational risk management. This study aims to investigate how managerial risk-taking attitudes (i.e. ethical and financial risk-taking as a trade-off between benefit and riskiness) change over time and based on gender.

The authors conducted a cross-sectional study on a sample of Italian executives and measured their perceptions of risk-taking, risk perception and risk-benefit, all referring to the company they worked for in the ethical and financial domain. The study also collected demographic data to gather information on age and gender. The authors analyzed data collected using multilevel analysis.

The results show that perceived benefits are the main drivers of risk-taking attitudes in both domains. Age and gender are not significant direct predictors of risk, but interactions with domains reveal insightful patterns.

Overall, this study highlights the need to assess the whole pattern of relationships emerging from the range of situational variables characterizing a specific population. Concerning the organizational context, it means addressing the role of organizational variables in influencing risk-taking so as to determine the extent to which organizational policies are indeed effective in fostering efficient organizational risk management.

Decision-making competence (DMC) of entrepreneurs and managers is a longstanding topic in this increasingly globalized world. These figures operate in conditions not within their own control, and good levels of DMC are often considered to be desirable for the flourishing of business and society. This paper reports an empirical investigation on the DMC of entrepreneurs and managers, in an attempt to inform about their tendencies to incur in risky and costly choices.

Three cognitive biases associated with operational strategies and individual characteristics of entrepreneurs and managers, namely under/overconfidence (UOC, i.e. self-confidence in taking decisions), resistance to sunk costs (RSC, i.e. propensity to take cost investments) and consistency in risk perception (CRP, i.e. how well individuals understand probability rules) were considered . Cognitive biases measures were used in a cross-sectional study on a sample of n = 639 entrepreneurs and n = 512 managers. Data collected via online survey were analyzed using descriptive statistics and inferential statistics to determine differences among entrepreneurs and managers DMC.

Analyses reveal that entrepreneurs exhibit higher levels of UOC compared to managers with a marked presence of UOC among entrepreneurs at younger ages. Conversely, performance regarding RSC improves with higher education levels while age and RSC are positively correlated only for managers, regardless of education. Lastly, entrepreneurs and managers resulted as not being affected by CRP. This study discusses these results to provide initial insights for further avenues of research and practice.

The study offers an innovative, evidence-based viewpoint on how entrepreneurs and managers deal with risky and costly decisions. It offers an initial understanding of the role of UOC, RSC and CRP, that is specific cognitive biases associated with operational strategies and individual characteristics, in the DMC of these working figures. The study forwards avenues of scrutiny of quick-witted entrepreneurs and systematic managers.

The alignment between the labour market and initial vocational education and training (IVET) is placing always more importance on technical knowledge and skills, whilst metacognitive competences such as critical thinking and media literacy are increasingly neglected. In the context of IVET, this results in authors and practitioners paying always more attention to how to devise possible training interventions, with the double aim of implementing their educational pathways and enhancing students’ critical thinking and media literacy. This paper aims to report the state of the art concerning such processes of enhancement in IVET students.

The study adopted the method of systematic scoping review to address the research questions on how to enhance critical thinking and media literacy in the context of IVET.

The paper presents the analyses of the n = 19 contributions collected. Then, it proposes an initial conceptualization of the dimensions of critical thinking and media literacy. Moreover, by combining evidence from various contributions, the review proposes implications for educational practices and strategies. Around these pieces of knowledge, further avenues of research and practice are proposed.

This study contributes to the literature on critical thinking and media literacy in the context of IVET by advancing initial comprehensive conceptualizations of the two dimensions. Moreover, the study advances initial practical implications for teachers and trainers for the development of training interventions.

The originality of the present review rests in its proposal of definitions of critical thinking and media literacy; moreover, it widens the discussion of practices on how to enhance such metacognitive competences. Indeed, the study identifies the teaching and training practices meant to enhance critical thinking and media literacy and proposes applied implications in the context of IVET.

Given the instability and volatility of the labour market and the global talent scarcity, placing more attention on job employability is fundamental. In this context, the literature has already extensively examined employability as a crucial individual aspect, identifying some significant antecedents, including the applicability of training on the job. The present study aims to examine the impact that teaching employees to craft their job may have on the levels of applicability of training and if, in turn, this improves self-perceived employability.

The authors involved three private organizations that followed three workshops on job crafting behaviour. To empirically assess the intervention, the authors asked participants of the workshop to complete four quantitative diaries on a weekly basis, i.e. one per week, one before the intervention and three after the intervention. The diaries comprised measures of job crafting behaviours, applicability of training and self-perceived employability.

Multi-level analysis of data collected provided support to the positive associations between job crafting behaviour and self-perceived employability with the mediating effect of applicability of training. Notably, the applicability of training improves when individuals search for challenges, which indirectly affects perceived employability in terms of organizational sense.

In the present study, no control group was used with which the results of our intervention could be compared. However, this does not affect the overall results, given the amount of intraindividual variability.

The paper proposes initial avenues for promoting employability at work via the use of behavioural job crafting intervention.

This paper aims to empirically compare the degree to which two technological interventions, based on the computer-supported collaborative learning (CSCL) and the technology acceptance model (TAM), were associated with a different incidence of financial biases.

The study adopted a quasi-experimental research design. The authors randomly assigned the participants (N = 507) to one of two training conditions or a control group, and in turn, we assessed the incidence of financial biases after the training interventions.

Participants who took part in the TAM-based group reported lower financial biases than those in the CSCL-based training group and the control group.

Literature suggests that two educational approaches, i.e. the CSCL and the TAM, can implement individuals’ financial decision-making. These educational approaches involve technology to support individuals in reducing the incidence of cognitive biases. This study contributes by advancing empirical evidence on technological supports for interventions to improve financial decision-making.

Suboptimal decision-making may lead to adverse consequences both at the individual and social levels. This paper contributes to the literature on debiasing interventions by offering initial evidence on technological-based interventions in the domain of financial decision-making. The authors discuss the application of this evidence in lifelong training.

This study provides evidence on how different technological interventions are associate with a lower incidence of financial biases.

We examined the effect of management practices on overt and subtle forms of discrimination in remote working contexts. Management practices (i.e. diversity and equality management systems) may influence employees’ perception of the diversity climate and affect the occurrence of discrimination.

To empirically investigate these associations, we administrated an online questionnaire with self-report measures via a 3-wave longitudinal research design.

Data analysis of our sample of N = 153 remotely working employees show that when managers invest in equality and diversity practices, employees perceive their workplace as more inclusive (i.e. diversity climate). In turn, this reduces the occurrence of subtle discriminations. Conversely, this relationship was not significant for overt forms of discrimination.

This result indicates that creating a diversity climate is especially important when combatting subtle forms of discrimination in remote work contexts. We discuss the theoretical and practical implications of our findings in light of managerial studies on discrimination at work and psychological literature on virtual environment and social networking.

Following the imperative for human-centric digital innovation brought by the paradigm of Industry 5.0, the article aims to integrate the dispersed and multi-disciplinary literature on individual risks for workers to define, explain and predict individual risks related to Industry 4.0 technologies.

The paper follows the question, “What is the current knowledge and evidence base concerning risks related to Industry 4.0 technologies, and how can this inform digital innovation management in the manufacturing sector through the lens of the Industry 5.0 paradigm?” and uses the method of systematic literature review to identify and discuss potential risks for individuals associated with digital innovation. N = 51 contributions met the inclusion criteria.

The literature review indicates dominant trends and significant gaps in understanding risks from a human-centric perspective. The paper identifies individual risks, their interplay with different technologies and their antecedents at the social, organizational and individual levels. Despite this, the paper shows how the literature concentrates in studying risks on only a limited number of categories and/or concepts. Moreover, there is a lack of consensus in the theoretical and conceptual frameworks. The paper concludes by illustrating an initial understanding of digital innovation via a human-centered perspective on psychological risks.

Findings yield practical implications. In investing in the adoption, generation or recombination of new digital technologies in organizations, the paper recommends managers ensure to prevent risks at the individual level. Accordingly, the study’s findings can be used as a common starting point for extending the repertoire of managerial practices and interventions and realizing human-centric innovation.

Following the paradigm of Industry 5.0, the paper offers a holistic view of risks that incorporates the central role of the worker as crucial to the success of digital innovation. This human-centric perspective serves to inform the managerial field about important factors in risk management that can result in more effective targeted interventions in risk mitigation approaches. Lastly, it can serve to reinterpret digital innovation management and propose future avenues of research on risk.

This paper aims to present a study on a commercial conductive polylactic acid (PLA) filament and its potential application in a three-dimensional (3D) printed smart cap embedding a resistive temperature sensor made of this material. The final aim of this study is to add a fundamental block to the electrical characterization of printed conductive polymers, which are promising to mimic the electrical performance of metals and semiconductors. The studied PLA filament demonstrates not only to be suitable for a simple 3D printed concept but also to show peculiar characteristics that can be exploited to fabricate freeform low-cost temperature sensors.

The first part is focused on the conductive properties of the PLA filament and its temperature dependency. After obtaining a resistance temperature characteristic of this material, the same was used to fabricate a part of a 3D printed smart cap.

An approach to the characterization of the 3D printed conductive polymer has been presented. The major results are related to the definition of resistance vs temperature characteristic of the material. This model was then exploited to design a temperature sensor embedded in a 3D printed smart cap.

This study demonstrates that commercial conductive PLA filaments can be suitable materials for 3D printed low-cost temperature sensors or constitutive parts of a 3D printed smart object.

The paper clearly demonstrates that a new generation of 3D printed smart objects can already be obtained using low-cost commercial materials.