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The need of tools for content analysis, information extraction and retrieval of multimedia objects in their native form is strongly emphasized into the judicial domain: digital videos represent a fundamental informative source of events occurring during judicial proceedings that should be stored, organized and retrieved in short time and with low cost. This paper seeks to address these issues.

In this context the JUMAS system, stem from the homonymous European Project (www.jumasproject.eu), takes up the challenge of exploiting semantics and machine learning techniques towards a better usability of multimedia judicial folders.

In this paper one of the most challenging issues addressed by the JUMAS project is described: extracting meaningful abstracts of given judicial debates in order to efficiently access salient contents. In particular, the authors present an ontology enhanced multimedia summarization environment able to derive a synthetic representation of judicial media contents by a limited loss of meaningful information while overcoming the information overload problem.

The adoption of ontology‐based query expansion has made it possible to improve the performance of multimedia summarization algorithms with respect to the traditional approaches based on statistics. The effectiveness of the proposed approach has been evaluated on real media contents, highlighting a good potential for extracting key events in the challenging area of judicial proceedings.

Psychological assessment refers to the process whereby different methods and techniques are used to test hypotheses about people and their psychological characteristics. Understanding employees' psychological makeup is key to allow effective human resource management, from hiring to retirement. However, the gap between scientific evidence and organizational practices dealing with psychological assessment is still great.

General review along with case study

This paper shows the differences between research and practice, i.e. between what scientific evidence suggests to assess people from a psychological point of view reliably and what practitioners do when they want to reach the same goal.

At the end of the article, two examples of integration between research and practice are presented. We discuss how methods and techniques of psychological assessment can be developed to both respect scientific criteria and meet specific organizational needs.

A wearable expert system (WES) is an expert system designed and implemented to obtain input from and give outputs to wearable devices. Among its distinguishing features are the direct cooperation between domain experts and users, and the interaction with a knowledge maintenance system devoted to dynamically update the knowledge base taking care of the evolving scenario. The paper aims to discuss these issues.

The WES development method is based on the Knowledge Acquisition Framework based on Knowledge Artifact (KAFKA) framework. KAFKA employs multiple knowledge artifacts, each devoted to the acquisition and management of a specific kind of knowledge. The KAFKA framework is introduced from both the conceptual and computational points of view. An example is given which demonstrates the interaction, within this framework, of taxonomies, Bayesian networks and rule-based systems. An experimental assessment of the framework usability is also given.

The most interesting characteristic of WESs is their capability to evolve over time, due both to the measurement of new values for input variables and to the detection of new input events, that can be used to modify, extend and maintain knowledge bases and to represent domains characterized by variability over time.

WES is a new and challenging concept, dealing with the possibility for a user to develop his/her own decision support systems and update them according to new events when they arise from the environment. The system fully supports domain experts and users with no particular skills in knowledge engineering methodologies, to create, maintain and exploit their expert systems, everywhere and when necessary.

This research investigates the behavior of granulated sugar particles of different sizes in a rotating drum at varying speeds, using the discrete element method (DEM) as a mathematical modeling approach.

The study conducted a data scan to determine both static and rolling friction coefficients. Based on benchmark studies, the Hertz–Mindlin contact model with rolling history elastic-plastic spring-dashpot (EPSD) and CDT (directional constant torque) models were employed to simulate the behavior of granulated sugar particles in a rotating drum under varying speeds.

In this research, the static and rolling friction coefficients presented the best values for granulated sugar near 0.60 and 1.5, respectively, applying the CDT model. The method demonstrated great accuracy in replicating experimental data.

This study enables comprehension of the behavior of the particles and particle system in a rotating drum at different speeds. The method may develop models that characterize and predict the main effects of particle systems to reduce project time and expense, especially in the food industry.

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.

The purpose of this paper is to present a framework for cultivating virtual communities of practice in distributed environments. The framework is based on the integration of knowledge artifacts and wearable technologies.

The proposed knowledge artifact is based on the correlation between conceptual and computational tools for the representation of different kinds of knowledge.

In this way, it is possible to make deeper the collaboration between knowledge seekers and contributors within the community, given that seekers and contributors share, at least in part, design choices at the knowledge modeling level.

A practical application of the framework has been described, to show its originality with respect to traditional knowledge management systems. In particular, it has been demonstrated how lurking phenomenon inside communities of practice can be significantly reduced. To this aim, opportune indexes have been defined from existing ones in literature.

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.

This study aims to investigate the relationship between organisation-based self-esteem (OBSE) and work engagement during a new strength-based intervention over nine months.

A sample of 82 workers composed of 70 sales consultants and 12 area-managers working in an Italian pharmaceutical company received a one-day training based on the FAMILY approach, three times for nine months, with a three-month lag between each workshop. Self-reported measures of OBSE and work engagement were collected before and after each workshop.

Results showed that final levels of both OBSE and work engagement were significantly higher compared to baseline. Moreover, results from a multiple mediation analysis showed that the direct and indirect relationships between OBSE and work engagement changed at different time points, which may have been related to the different contents of the workshops.

This study provides initial evidence suggesting that organisations could leverage on medium-term interventions to provide employees active guidance on how to use their strengths at work, likely to boost higher employees’ positive perceptions of themselves as organisational members and work engagement.

This study aims to test the effectiveness of a training intervention based on the psychology of perception, delivered to young Italian workers and employees, with low education, hired with an apprenticeship contract and involved in a compulsory training course (duration 32 h; the training intervention reported in the paper covers the first 8 h) whose aim was to let them develop such relational competencies as communication and cooperation with others.

By making use of optical-geometric illusions and ambiguous figures, participants were accompanied through a training intervention with the dual purpose of undermining their naive certainties about why they see what they see and increasing their awareness of how the perceptual processes work. At the beginning of the intervention, at the end of the 32 h (that is, after about a month) and after about one year from the end of the course, participants were administered a questionnaire to monitor the results of the training course by measuring their “perception awareness”.

“Perception awareness” increased from the beginning to the end of the course and still scored higher after one year. “Perception awareness” was positively related to communication and cooperation.

Although the literature is full of training courses delivered to improve communication and cooperation with others, little research has been carried out on perception-based training interventions delivered to young adults with low education hired with an apprenticeship contract for which this kind of training is compulsory.

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.