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This research aims to explore the notion of fit between subordinates’ need for cognitive closure and supervisors’ power tactics on organizational conflict management.

Two-hundred and ninety employees drawn from six different Italian organizations were recruited for the purpose of this study.

Results indicated that high-need-for-closure subordinates utilized more constructive (solution-oriented) conflict management strategies when their supervisors relied on harsh power tactics, whereas low-need-for-closure subordinates were more inclined to use solution-oriented conflict management strategies when their supervisors relied on soft power tactics. Additionally, results indicated that, overall, supervisors’ use of harsh power tactics increased subordinates reliance on maladapted (control-oriented) conflict management strategies, but even more so for subordinates with low need for cognitive closure.

This study highlights the importance of supervisor–subordinate fit to understand conflict management in organizational setting.

This study aims to investigate the mediating role of challenging tasks, organizational identification and technological training seeking behavior in the relationship between information sharing as a human resource practice and employees’ feelings of competency at work.

Structural equation modeling was used to analyze data collected from a three-wave online survey conducted in an Italian aerospace manufacturing company (n = 294).

The results reveal an indirect path between information sharing and feelings of competence, mediated by organizational identification and training seeking behavior. However, no total indirect path was observed between feelings of competency and information sharing through challenging tasks and training seeking.

This research contributes to the understanding of the impact of information sharing on individuals’ feelings of competency in the context of organizational change, particularly through the introduction of the concept of proactive training seeking as a novel dimension of proactive behavior.

The aim is to apply probabilistic approaches to electromagnetic numerical dosimetry problems in order to take into account the variability of the input parameters.

A classic finite element method is coupled with probabilistic methods. These probabilistic methods are based on the expansion of the random parameters in two different ways: a spectral expansion and a nodal expansion.

The computation of the mean and the variance on a simple scattering problem shows that only a few hundreds calculations are required when applying these methods while the Monte Carlo method uses several thousands of samples in order to obtain a comparable accuracy.

The number of calculations is reduced using several techniques: a regression technique, sparse grids computed from Smolyak algorithm or a suited coordinate system.

The purpose of this paper is to investigate the impact of ligament shape on radiative behavior, with a specific focus on the inter-dependence among porosity, ligament shape and radiative characteristics.

Using Surface Evolver to generate a base structure and then coherently modifying it, the model presented in this paper aims to tackle these challenges in an improved fashion, all the while making it possible to systematically assess the influence of ligament shape on radiation heat transfer in foams, focussing on the porosity-dependence of ligament shape.

It is found that the prediction of numerical models, at constant size and specific surface of the cells, is strongly affected by the dependence of ligament shape on the porosity.

The above said dependence has, therefore, to be accounted for in robust modeling of radiation in foams with a wider range of porosities.

The radiative behavior of metal foams has been studied in literature using analytical, numerical and experimental approaches. However, only few researches focussed their attention on the assessment of the relevance of specific micro-structural (i.e. sub-cell size) characteristics.

How to design jobs to support innovation is an issue that has received plenty of consideration over the past years. Building on the job characteristics model, the present study is set up to identify configurations of perceived job characteristics for innovation.

By adopting a fuzzy-set configurational approach (fsQCA), the research question is addressed through a two-wave self-report survey of 199 employees of an Italian manufacturing company.

Results reveal four compatible configurations of job characteristics leading to high levels of innovative work behavior and two for low levels.

The results offer guidance for managers and organizations that aim to strengthen employee-driven innovation by offering different recipes of job design to maximize the chance of boosting innovative behaviors among their workers.

This research is one of the first to empirically test the relation of job characteristics for innovative behavior using a configurational approach. By doing so it contributes to the literature by advancing the notion that innovative endeavors are determined by the holistic effects of different interdependent configurations of job characteristics.

The purpose of this paper is to deal with the maximum interest rate guarantees (MIRGs), and develop a methodology for setting the optimal value of the interest rate cap, namely the maximum interest rate above which the private investor will obtain reimbursement from the government, which balances the interests of the parties involved in the project.

The mechanism underlying the MIRG is modeled through real options. Monte Carlo simulation is employed as the option-pricing method. The resulting real option-based model is applied to the case of the “Camionale di Bari” toll road (Southern Italy).

The application provides some insights for the policy maker called to define the proper forms of guarantees. Furthermore, the results support the negotiation process, allowing the different actors to structure the guarantee in a way that satisfies all the parties and fairly allocates risks between them according to different operational and financial conditions.

The novelty of the contribution is triple. First, the authors advance the state of the art on government supports by focusing on the interest rate guarantee. Second, the authors enrich the existing studies on MIRG by proposing a quantitative model to set the guarantee in compliance with the public–private win-win principle. The developed real option-based model supports the decision maker in finding the optimal value of the interest rate cap, which is able to satisfy the interests of the parties involved in the project. Third, the authors consider not only the private sponsor and the government, as traditionally made by the models developed for other guarantees, but also the lender.

The following list is a first attempt to catalogue and describe systematically the British Museum's extensive holdings of early opera librettos and related plays. The great importance of these unpretentious booklets as supplementary and, more often than not, even primary sources for the history and bibliography of dramatic music, besides or instead of the scores, was already clearly recognized in the eighteenth century by Dr. Burney and other scholars. But it is only since 1914, the year in which O. G. T. Sonneck's Library of Congress Catalogue of opera librettos printed before 1800 appeared, that their documentary value could to any greater extent be put to general use in international musicological research. A similar bibliography of the British Museum librettos, while naturally duplicating many Washington entries, would produce a great number of additional tides, not a few of them otherwise unrecorded; it would provide the musical scholar with the key to a collection unequalled elsewhere in Europe, which owing to the peculiar nature of the material is not easily accessible by means of the General Catalogue.

This study aims to explore whether expected image outcomes (risk and gain) represent a mechanism through which perceived organizational climates, in the dimensions of tradition and reflexivity, affect key components of the innovation process (idea generation and idea realization).

Structural equation models have been conducted to empirically analyse 3 waves of longitudinal survey data from an Italian military organization (N = 410).

Results confirmed that image outcome expectations mediated the effects of perceived climate on idea generation, and that a serial mediation of image expectations and idea generation those on idea realization. Additionally, reflexivity was directly associated with idea generation.

The findings offer guidance for organizations that aim to strengthen employee-driven innovation, highlighting the importance of organizational climate and image outcomes expectations.

Advancing from existing organizational behaviour and individual innovation literature, this article contributes to extend knowledge about the role of organizational climate and image outcome expectations in enhancing innovative work behaviours.

A construction project is complex and requires dynamic modelling of a range of factors that deters time performance because of uncertainty and varying operating conditions. In construction project systems, the system components are the interconnected stages, which are time-dependent. Within the project stages are the activities which are the subsystems of the system components, causing a challenge to the analysis of the complex system. The relationship of construction project time management (CTM) with the construction project time influencing factors (CTFs) and the adaptability of the time-varying system is a key part of project effectiveness. This study explores the relationship between CTM and CTF, including the potentials to add dynamical changes on every project stage.

This study proposed a dynamic Bayesian network (DBN) model to examine the relationship between CTM and CTF. The model investigates the time performance of a construction project that enhances decision-making. First, the paper establishes a model of probabilistic reasoning and directed acrylic graph (DAG). Second, the study tests the dynamic impact (IM) of CTM-CTF on the project stages over a specific time, including the adaptability of time performance during disruptive CTF events. In demonstrating the effectiveness of the model, the authors selected one-organisation-single-location road-improvement project as the case study. Next, the confirmation of the model internal validity relied on conditional probabilities and the project knowledge experts' selected from the case company.

The study produced structural dependencies of CTM and CTF with probability observations at each stage. A predictive time performance analysis of the model at different scenarios evaluates the adaptability of CTM during CTF uncertain events. The case demonstration of the model application shows that CTFs have effects on CTM strategy, creating the observations to help time performance restorations after disruptions.

Although the case company experts' panel confirms the internal validity of the results for managing time, the model used conditional probability table (CPT) and project state values from a project contract. A project-wide application then will require multi-case data and data-mining process for generating the CPTs.

The study developed a method for evaluating both quantitative and qualitative relationships between CTM and CTF, besides the knowledge to enhance CTM practice and research. In construction, the project team can use model observations to implement time performance restorations after a predictive or reactive disruption, which enhances decision-making.

The model used qualitative and qualitative data of a complex system to generate results, bounded by a range of probability distributions for CTM-CTF interconnections during time performance disruptions and restorations. The research explores the approach that can complement the mental CTM-CTF modeling of the project team. The CTM-CTF relationship model developed in this research is fundamental knowledge for future research, besides the valuable insight into CTF influence on CTM.

This study aims to examine in which circumstances consumer’s self-congruity moderates the indirect influence of consumer-based brand equity (mediating role) in the relationship between firm-created and user-generated social media content and intention to purchase fashion products.

In this study, the authors carried out an online survey with social media users of fashion brands and collected data from 622 participants across two samples to investigate whether consumers’ perceptions of equity of fashion brands mediate the relationship between social media brand-related communication created by both firms and users and the intention to buy the fashion brands. The indirect relationship is further moderated by self-congruity.

The results indicate that brand equity mediates the relationship between social media communication and purchase intentions of fashion products, and self-congruity moderates the relationship between social media communication types and purchase intentions, such that higher/lower levels of self-congruity strengthen/weaken the impact of social media communication on purchase intentions.

This study contributes to the business and marketing literature by exploring how social media communication, branding and fashion align with the individual’s self-concept and buying behaviour.