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The purpose of this paper is to develop a research model that explains team performance based on social cognitive theory and social exchange theory. In the model, team performance indirectly relates to three kinds of leadership (i.e., charismatic, autocratic and considerate) via the full mediation of collective efficacy. At the same time, team justice as a focus in this study is examined as a moderator in the model.

The research hypotheses of this study were empirically tested using two-wave data collection across insurance sales teams from a leading bank holding company which is the largest bank holding company in Taiwan. In the first-wave data collection, researchers of this study surveyed six people anonymously from each sales team, including a team leader and five team members. Three months later, the researchers conducted the second-wave data collection by obtaining team performance data from the department of human resource management, which was an independent rater for each team’s performance. Two-wave data collection from 59 teams was achieved for verifying the hypothesized effects.

The team-level test results show that collective efficacy fully mediates the relationship between charismatic leadership and team performance and between considerate leadership and team performance. Justice moderates the relationship between collective efficacy and team performance and between charismatic leadership and collective efficacy.

This study has two major theoretical implications. First, this study conceptualized three distinct kinds of leadership as major determinants of team performance from a social exchange perspective. Such a theoretical conceptualization of leadership not only broadens the boundary of leadership beyond traditional one such as transactional leadership based on the theory of contingent reward but also closely reflects the practical status quo of leadership of teams. Second, this research incorporated social exchange theory into the framework of team performance in social cognitive theory. Specifically, this study theorized and validated justice as a moderator in the development of team performance.

This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies.

This briefing is prepared by an independent writer who adds his/her own impartial comments and places the articles in context.

When it comes to leadership styles, people invariably think of “who” rather than “how.” If, for example, a leader adopts a charismatic style, they then become synonymous with that style, or are compared with someone famous with a similar way of leading, such as Sir Richard Branson. This can be problematic, however, for a number of reasons. Firstly, while Branson has a high media profile and comes across on TV as charismatic, few people know if this is actually his leadership style in the Virgin group of companies he owns. And secondly, what is actually meant by charismatic leadership and what its strengths and weaknesses are get lost in the focus on personality.

This paper provides strategic insights and practical thinking that have influenced some of the world’s leading organizations.

The briefing saves busy executives and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

The purpose of this study was expected to simultaneously monitor the surface roughness of each solidified layer, the surface roughness of the metal powder, the outline of the solidified layer, and the height difference between the solidified layer and the metal powder.

In the proposed approach, color images with red, green and blue fringes are used to measure the shape of the built object using a three-step phase-shift algorithm and phase-unwrapping method. In addition, the surface roughness is extracted from the speckle information in the captured image using a predetermined autocorrelation function.

The feasibility and accuracy of the proposed system were validated by comparing it with a commercial system for an identical set of samples fabricated by a selective laser melting process. The maximum and minimum errors between the two systems are approximately 24% and 0.8%, respectively.

In the additive manufacturing field, the authors are the first to use fringe detection technology to simultaneously measure the profile of the printed layer and its surface roughness.

This study aims to provide an ontology based Baysian network for clinical specialty supporting. As a knowledge base, ontology plays an essential role in domain applications especially in expert systems. Interactive question answering systems are suitable for personal domain consulting and recommended for real-time usage. Clinical specialty supporting for dispatching patients can assist hospitals to locate desired treatment departments for individuals relevant to their syndromes and disease efficiently and effectively. By referring to interactive question answering systems, individuals can understand how to alleviate time and medical resource wasting according to recommendations from medical ontology-based systems.

This work presents an ontology based on clinical specialty supporting using an interactive question answering system to achieve this aim. The ontology incorporates close temporal associations between words in input query to represent word co-occurrence relationships in concept space. The patterns defined in lexicon chain mechanism are further extracted from the query words to infer related concepts for treatment departments to retrieve information.

The precision and recall rates are considered as the criteria for model optimization. Finally, the inference-based interactive question answering system using natural language interface is adopted for clinical specialty supporting, and indicates its superiority in information retrieval over traditional approaches.

From the observed experimental results, we find the proposed method is useful in practice especially in treatment department decision supporting using metrics precision and recall rates. The interactive interface using natural language dialogue attracts the users’ attention and obtains a good score in mean opinion score measure.