Search results

The purpose of this paper is to explore the role of social identity and the psychological contract as plausible frameworks of transformational leadership (TL)-attitudes relationship.

A cross-sectional study was conducted amongst 134 employees. All variables were measured using self-report measures and multiple mediator analysis was used to test the hypotheses.

Both social identity and psychological contract acted as significant mediators between leadership and attitudinal outcomes. However, social identity emerged as the stronger mediator.

This study provides evidence on the relative significance of social identity over the psychological contract in explaining TL-attitudes relationship at work. Further longitudinal work is warranted.

The results suggest providing internal work environments and practices which enable employees to experience a high degree of fairness and, above all, a sense of identity with the organization can link better their perceptions of their leaders with work attitudes.

This study contributes to the literature by highlighting the importance of TL not only on work attitudes but also on the value of important mediators like social identity and the psychological contract as feeding into this relationship. It therefore promotes and raises awareness of the need to explore the explanatory power of these two mediators in understanding the effects of leadership on followers.

In this study, we explored factors driving evidence-based management (EBM) decision-making in Poland which has experienced changes from state-controlled market environments to more competitive ones. Evidence-based management requires the critical use and adaptability to information to deal with complex problems.

In total, 422 Polish managers responded to a telephone survey measuring their perceptions about decision-making culture, styles, competence, and their use of specific sources to derive the evidence to enable them to make evidence-based decisions. Informed by theoretical principles, we used Hayes’ PROCESS macro (Model 4) to examine whether each factor produced direct effects on EBM decision-making and the mediating influence of competence and style in the relationship between culture and perceived evidence-based decision-making.

All three factors correlated positively with perceived evidence-based decision-making. Moreover, style was not predictive of EBM decision-making compared to competence and culture while culture had an imposing effect on decision-making both as a direct effect and indirectly through competence.

This study provides important insights into the perceptual state of EBM among Polish managers. It emphasizes the importance of embracing diverse cultures and improving critical thinking to help managers make more evidence-based decisions during significant changes in the business world.

The European Innovation Scoreboard is an important indicator of innovation performance across European Member States. Despite its wide application, the indicator fails to highlight the interlinkages that exist among innovation measures and focuses primarily on the linear relationship between the individual measures and the predicted outcome. This study aims to address this gap by applying a novel technique, the fuzzy-set qualitative comparative analysis (fsQCA), to shed light on these interlinkages and highlight the complexity of the determinants underlying innovation performance.

The authors adopted a configurational approach based on fsQCA that is implemented on innovation performance data from European Member States for the period 2011–2018. The approach is based on non-linearity and allows for the analysis of interlinkages based on equifinality, that is, the model recognises that there are different potential paths of high and low innovation performance. In addition, the approach allows for asymmetric relations, where a low innovation outcome is not the exact inverse of that which leads to high innovation outcome.

The results clearly indicate that innovation outcomes are not based on simple linear relations. Thus, to reap the desired effects from investments in innovation inputs, the complex set of indicators on which innovation performance is based should be taken into consideration. The results clearly indicate the elements of equifinality and asymmetric relations. Different paths lead to high innovation performance and low innovation performance.

The method applied to investigate the determinants of innovation performance is the prime original factor of this study. Thus, the study contributes to literature by highlighting the complexity involved in understanding innovation. By recognising and attempting to detangle this complexity, this study will assist not just academics but also policymakers in designing the necessary measures required to reach this important outcome for a country’s competitive edge.

Length of stay (LOS) in hospital after surgery varies for each patient depending on surgeon’s decision that considers criticality of the surgery, patient’s conditions before and after surgery, expected time to recovery and experience of the surgeon involved. Decision on patients’ LOS at hospital post-surgery affects overall healthcare performance as it affects both cost and quality of care. The purpose of this paper is to develop a model for deriving the most appropriate LOS after surgical interventions.

The study adopts an action research involving multiple stakeholders (surgeon, patients/patients’ relatives, hospital management and other medics). First, a conceptual model is developed using literature and experts’ opinion. Second, the model is applied in three surgical interventions in a public hospital in Malta to demonstrate the effectiveness of the model. Third, the policy alternatives developed are compared to a selection of current international standards for each surgical intervention. The proposed model analyses three LOS threshold policies for three procedures using efficiency and responsiveness criteria. The entire analysis is carried out using 325 randomly selected patient files along with structured interactions with more than 50 stakeholders (surgeon, patients/patients’ relatives, hospital management and other medics). A multiple criteria decision-making method is deployed for model building and data analysis. The method involves combining the analytic hierarchy process (AHP) for verbal subjective judgements on prioritizing the four predictors of surgical LOS—medical, financial, social and risk, with pairwise comparisons of the sub-criteria under each criterion in line with the concerned interventions—the objective data of which are obtained from the patients’ files.

The proposed model was successfully applied to decide on the best policy alternative for LOS for the three interventions. The best policy alternatives compared well to current international benchmarks.

The proposed method needs to be tested for other interventions across various healthcare settings.

Multi-criteria decision-making tools enable resource optimization and overall improvement of patient care through the application of a scientific management technique that involves all relevant stakeholders while utilizing both subjective judgements as well as objective data.

Traditionally, the duration of post-surgery LOS is mainly based on the surgeons’ clinical but also arbitrary decisions, with, as a result, having insufficiently explicable variations in LOS amongst peers for similar interventions. According to the authors’ knowledge, this is the first attempt to derive post-surgery LOS using the AHP, a multiple criteria decision-making method.

The Triple Helix model of academia, government and industry posits that the university can play an important role, even an entrepreneurial one, in innovation in increasingly knowledge-based societies (Etzkowitz and Leydesdorff, 2000). No longer the “ivory tower” universities are now moving toward an entrepreneurial paradigm. The purpose of this research effort is to examine how such a migration has been accomplished in Malta with a particular focus on the changing activities of its University.

This paper uses advanced bibliometric techniques to examine the scientific output of the University of Malta. Data were downloaded from Thomson Reuters Web of Science. These data were then processed using the software packages Bibexcel and VOSviewer to produce detailed maps of the scientific activity.

The results were that the University has greatly expanded its scientific footprint since its 2004 accession to the European Union (EU). International collaborations and highly cited papers have gone up significantly.

Only one country was examined in this effort, and further study should compare to Malta to other small EU countries. The findings suggest that while some might consider Malta’s progress modest in absolute terms, it has made significant strides from its prior-to-accession base.

The findings have been presented to the Malta Council for Science and Technology as evidence of the outcomes of their efforts.

Because Malta is the smallest member-state in the EU, little research has been done on its science base. However, the authors believe their findings could inform research efforts on other EU, and even non-EU, countries.

Derivatives are nowadays widely used globally both for speculative and hedging purposes. However, as experience shows, inadequate use of derivatives may cause severe problems and even bankruptcy of firms. Thus, it is essential to help organizations design a robust proactive governance and internal control structure, which will help to prevent new financial debacles and scandals when using derivatives. Taking into account the frequent use and the growing fraud caused by derivatives, the aim of the paper is to identify considerations for internal control important to ensure better governance of firms using derivatives. The main findings are based on an analysis of interviews that were conducted with experts directly or indirectly involved with derivatives from different European countries. The interviews were semistructured following the approach proposed by Patton (1990). An analysis of the data collected from the interviews was carried out using a thematic approach. The paper identifies and analyzes the main “sources” of derivatives misuse, including poor design and mis-categorization of instruments, convenience to blame derivatives, unsophisticated players, insufficient regulatory environment, poorly designed internal controls, inadequate communication, poor firm culture, etc. It also provides an extensive analysis of the main recommendation for internal control concerning awareness of derivatives design, the human aspects, regulations, communication, knowledge, and training. Sound internal controls could avoid new debacles without adding other restrictions to the market. Moreover, it provides recommendations for internal control important to ensure better governance of firms using derivatives.