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The current research aims to analyze the literature to determine its strengths and weaknesses and extract the required information, which will be used to identify the characteristics of the highly competitive organization (HCO), define it and identify the HCO's critical success factors (CSFs). Finally, the future research agenda will be proposed.

A multiple stages research methodology was used to fulfill the research objectives. The research started with the systematic literature review (SLR). Then, focus group discussions and Pareto analysis were used to fulfill research objectives.

Eleven points were identified in the research to represent the characteristics of the HCO. Then, the HCO was defined based on the elements of these points. Moreover, the vital few CSFs to successfully implement many research scopes were identified. Then, the CSFs of the HCO was generated based on these vital few CSFs.

The main limitation of the current research is the literature sample size. A larger sample selection could enrich the generated lists with many other CSFs.

Many implications points were highlighted in this research which showed the importance of the current research for academic and practical audiences.

The SLR process showed that the reviewed literature lacked a consolidated list of the HCO characteristics and a clear definition of the HCO. Moreover, the reviewed literature lacked a unified list of the HCO CSFs. Therefore, the current research approach is novel and original.

The present research aims to understand the performance disclosure levels provided by Italian healthcare organisations (HCOs). The authors conducted this study to assess the transparency of HCOs' performance reporting processes by examining the amount and the type of information disclosed in Annual Performance Reports (APRs).

The present study uses a qualitative research methodology based on manual content analysis. The APRs of a sample of 171 Italian public HCOs were analysed.

Results evidence that the APRs provide a sufficient level of disclosure of performance information, putting high attention on the epidemiological conditions; however, the APRs do not present a strong information function for stakeholders' decision-making purposes. The Italian HCOs APRs are not easily understandable because the APRs are not very concise and present information mainly in discursive terms with limited graphic support.

To the best of the authors' knowledge, this is the first research investigating both the extent and type of performance information reported by Italian HCOs in the APRs, considering the particular contextual conditions caused by the most significant challenge the healthcare (HC) sector has faced in recent years: the epidemiological crisis of the coronavirus disease 2019 (COVID-19). The study also explores whether APRs are currently used by HCOs as a merely regulatory requirement or as an information tool for accountability and decision-making purposes.

Business intelligence (BI) systems and tools are deemed to be a transformative source with the potential to contribute to reshaping the way different healthcare organizations’ (HCOs) services are offered and managed. However, this emerging field of research still appears underdeveloped and fragmented. Hence, this paper aims to reconciling, analyzing and synthesizing different strands of managerial-oriented literature on BI in HCOs and to enhance both theoretical and applied future contributions.

A literature-based framework was developed to establish and guide a three-stage state-of-the-art systematic literature review (SLR). The SLR was undertaken adopting a hybrid methodology that combines a bibliometric and a content analysis.

In total, 34 peer-review articles were included. Results revealed significant heterogeneity in theoretical basis and methodological strategies. Nonetheless, the knowledge structure of this research’s stream seems to be primarily composed of five clusters of interconnected topics: (1) decision-making, relevant capabilities and value creation; (2) user satisfaction and quality; (3) process management, organizational change and financial effectiveness; (4) decision-support information, dashboard and key performance indicators; and (5) performance management and organizational effectiveness.

To the authors’ knowledge, this is the first SLR providing a business and management-related state-of-the-art on the topic. Besides, the paper offers an original framework disentangling future research directions from each emerged cluster into issues pertaining to BI implementation, utilization and impact in HCOs. The paper also discusses the need of future contributions to explore possible integrations of BI with emerging data-driven technologies (e.g. artificial intelligence) in HCOs, as the role of BI in addressing sustainability challenges.

To explore Finnish experts' perceptions of the forms of digital healthcare that are anticipated to be the most utilised in healthcare in the medium-term future (year 2035) and anticipated healthcare workforce impacts those forms will have.

A total of 17 experts representing relevant interest groups participated in a biphasic online Delphi study. The results for each round were analysed using descriptive statistical methods and inductive content analysis.

The forms of digital healthcare that the experts perceived as most likely to be utilised were those enabling patient participation, efficient organisation of services and automated data collection and analysis. The main impacts on the healthcare workforce were seen as being the redirection of workforce needs within the healthcare sector and need for new skills and new professions. The decrease in the need for a healthcare workforce was seen as less likely. The impacts were perceived as being constructed through three means: impacts within healthcare organisations, impacts on healthcare professions and impacts via patients.

The results are not necessarily transferable to other contexts because the experts anticipated local futures. Patients' views were also excluded from the study.

Healthcare organisations function in complex systems where drivers, such as regional demographics, legislation and financial constraints, dictate how digital healthcare is utilised. Anticipating the workforce effects of digital healthcare utilisation has received limited attention; the study adds to this discussion.

The purpose of this study is to characterize the galvanic corrosion behavior of a simulated X80 pipeline steel welded joint (PSWJ) reconstructed by the wire beam electrode (WBE) and numerical simulation methods.

The galvanic corrosion of an X80 PSWJ was studied using WBE and numerical simulation methods. The microstructures of the coarse-grained heat affected zone, fine-grained heat affected zone and intercritical heat affected zone were simulated in X80 pipeline steel via Gleeble thermomechanical simulation processing.

Comparing the corrosion current density of coupled and isolated weld metal (WM), base metal (BM) and heat-affected zone (HAZ), the coupled WM exhibited a higher corrosion current density than isolated WM; the coupled BM and HAZ exhibited lower corrosion current densities than isolated BM and HAZ. The results exhibited that the maximum anodic galvanic current fitted the Gumbel distribution. Moreover, the numerical simulation results agreed well with the experimental data.

This study provides insight into corrosion evaluation of heterogeneous welded joints by a combination of experiment and simulation. The method of reconstruction of the welded joint has been proven to be a feasible approach for studying the corrosion behavior of the X80 PSWJ with high spatial resolution.

The purpose of this study was to synthesize composite nanoparticles (TiO₂@SiO₂) via the chemical deposition method and investigate their efficacy as additives in polytetrafluoroethylene (PTFE) lubricating grease. The focus was on examining the frictional and conductive properties of the TiO₂@SiO₂ grease using a friction tester.

Composite nanoparticles (TiO₂@SiO₂) were synthesized using the chemical deposition method and incorporated into PTFE grease. Frictional and conductive properties were evaluated using a friction tester. Surface morphology and chemical composition of wear tracks were analyzed using scanning electron microscope and X-ray photoelectron spectroscopy, respectively.

Incorporating TiO₂@SiO₂ at a mass fraction of 1 Wt.% led to a significant reduction in friction coefficient and wear width. The wear depth exhibited a remarkable decrease of 260%, while the contact resistance reached its peak value. This improvement in tribological properties could be attributed to the presence of TiO₂@SiO₂, where TiO₂ served as the core and SiO₂ as the shell during the friction process. The high hardness of the SiO₂ shell contributed to enhanced load-bearing capacity. In addition, the exceptional insulation properties of SiO₂ demonstrated excellent electron-capturing capabilities, resulting in improved friction and insulation performance of the TiO₂@SiO₂ lubricating grease.

This study demonstrates the potential of TiO₂@SiO₂ composite nanoparticles as additives in lubricating greases, offering improved friction and insulation performance. The findings provide insights into the design of advanced lubricating materials with enhanced tribological properties and insulation capacity, contributing to the development of more efficient and durable lubrication systems.