Understanding impact of business intelligence to organizational performance using cluster analysis: does culture matter?

Business intelligence is an approach that includes processes and systems for transformation of the raw data into meaningful and useful information which enables effective, systematic and purposeful analysis of an organization and its competitive environment. This paper aims to analyze the impact of the level of business intelligence maturity to organizational performance of the company. Moreover, since there is a rising awareness among practitioners of the role of the organizational culture for the successful functioning of the company, the role of the organizational culture is taken into consideration in this research. In order to meet the aim of the paper, a survey has been conducted. Data has been collected through questionnaires on a sample of 177 Croatian and Slovenian companies and analyzed by means of the cluster analysis. The analysis identified two clusters. The results of the cross-tabulation analysis of the clusters reveal statistically significant differences in terms of the company turnover and dominant organizational culture between them

Understanding impact of business intelligence to organizational performance using cluster analysis: does culture matter?

Business intelligence is an approach that includes processes and systems for transformation of the raw data into meaningful and useful information which enables effective, systematic and purposeful analysis of an organization and its competitive environment. This paper aims to analyze the impact of the level of business intelligence maturity to organizational performance of the company. Moreover, since there is a rising awareness among practitioners of the role of the organizational culture for the successful functioning of the company, the role of the organizational culture is taken into consideration in this research. In order to meet the aim of the paper, a survey has been conducted. Data has been collected through questionnaires on a sample of 177 Croatian and Slovenian companies and analyzed by means of the cluster analysis. The analysis identified two clusters. The results of the cross-tabulation analysis of the clusters reveal statistically significant differences in terms of the company turnover and dominant organizational culture between them

Digital Transformation in European Union: North is leading, and South is lagging behind

The transformation of the economy into a digital environment has become a necessary step in recent years. The consequences of the COVID pandemic have accelerated the digital transformation and the growth of the digital economy. Intensive business engagement in the digital economy requires innovative digital solutions and online means of promotion and sale. European Union (EU) countries need to create the conditions for the gradual transformation. The paper analyses business readiness for the digital economy in EU countries. It aims to compare and assess the current situation of digital readiness based on the set of selected indicators. The analysis includes a multidimensional comparison of EU countries, classification based on cluster analysis, and ranking based on factor analysis results. Results show significant differences among EU countries. Newer member countries, mostly from South-Eastern Europe, are still lagging behind the EU average in e-Commerce activities, usage of social networks, and cloud computing. Furthermore, factor analysis has been conducted to determine underlining factors describing the overall digital readiness of EU countries and rank them accordingly. As well as in the cluster analysis, factor analysis revealed that Nordic EU member countries perform very well and show the highest digital readiness

Digital Transformation in European Union: North is leading, and South is lagging behind

The transformation of the economy into a digital environment has become a necessary step in recent years. The consequences of the COVID pandemic have accelerated the digital transformation and the growth of the digital economy. Intensive business engagement in the digital economy requires innovative digital solutions and online means of promotion and sale. European Union (EU) countries need to create the conditions for the gradual transformation. The paper analyses business readiness for the digital economy in EU countries. It aims to compare and assess the current situation of digital readiness based on the set of selected indicators. The analysis includes a multidimensional comparison of EU countries, classification based on cluster analysis, and ranking based on factor analysis results. Results show significant differences among EU countries. Newer member countries, mostly from South-Eastern Europe, are still lagging behind the EU average in e-Commerce activities, usage of social networks, and cloud computing. Furthermore, factor analysis has been conducted to determine underlining factors describing the overall digital readiness of EU countries and rank them accordingly. As well as in the cluster analysis, factor analysis revealed that Nordic EU member countries perform very well and show the highest digital readiness

Advances in Landslide Nowcasting: Evaluation of a Global and Regional Modeling Approach

The increasing availability of remotely sensed data offers a new opportunity to address landslide hazard assessment at larger spatial scales. A prototype global satellite-based landslide hazard algorithm has been developed to identify areas that may experience landslide activity. This system combines a calculation of static landslide susceptibility with satellite-derived rainfall estimates and uses a threshold approach to generate a set of nowcasts that classify potentially hazardous areas. A recent evaluation of this algorithm framework found that while this tool represents an important first step in larger-scale near real-time landslide hazard assessment efforts, it requires several modifications before it can be fully realized as an operational tool. This study draws upon a prior work s recommendations to develop a new approach for considering landslide susceptibility and hazard at the regional scale. This case study calculates a regional susceptibility map using remotely sensed and in situ information and a database of landslides triggered by Hurricane Mitch in 1998 over four countries in Central America. The susceptibility map is evaluated with a regional rainfall intensity duration triggering threshold and results are compared with the global algorithm framework for the same event. Evaluation of this regional system suggests that this empirically based approach provides one plausible way to approach some of the data and resolution issues identified in the global assessment. The presented methodology is straightforward to implement, improves upon the global approach, and allows for results to be transferable between regions. The results also highlight several remaining challenges, including the empirical nature of the algorithm framework and adequate information for algorithm validation. Conclusions suggest that integrating additional triggering factors such as soil moisture may help to improve algorithm performance accuracy. The regional algorithm scenario represents an important step forward in advancing regional and global-scale landslide hazard assessment

Fostering social project impact with Twitter: current usage and perspectives

Social impact assessment has become a major concern within the research community. While different methodological advancements have been made to better display, as well as to measure, achieved impacts, social media has proved to be a potential domain to generate many new opportunities to support both the communication as well as the realization of social impact. Within this context, the current research presents an analysis of how Twitter is used among a subset of research projects to maximize social impact. The research focuses on the use of Twitter, as one of the most often used social media, by the members of scientific projects funded under one part of the FP7 funding framework of the European Union called Science in Society. The data were analyzed using NVivo, and WordStat Provalis software. The results presented in this study include exploratory data analysis, topic mining and the analysis of the impact of projects on Twitter. The results indicate moderate use of Twitter among the observed projects, but with a strong focus on the dissemination of project results, thus indicating a trend towards the usage of social media for communicating the social impact of research projects

COVID-19 symptoms at hospital admission vary with age and sex: results from the ISARIC prospective multinational observational study

Background: The ISARIC prospective multinational observational study is the largest cohort of hospitalized patients with COVID-19. We present relationships of age, sex, and nationality to presenting symptoms. Methods: International, prospective observational study of 60 109 hospitalized symptomatic patients with laboratory-confirmed COVID-19 recruited from 43 countries between 30 January and 3 August 2020. Logistic regression was performed to evaluate relationships of age and sex to published COVID-19 case definitions and the most commonly reported symptoms. Results: ‘Typical’ symptoms of fever (69%), cough (68%) and shortness of breath (66%) were the most commonly reported. 92% of patients experienced at least one of these. Prevalence of typical symptoms was greatest in 30- to 60-year-olds (respectively 80, 79, 69%; at least one 95%). They were reported less frequently in children (≤ 18 years: 69, 48, 23; 85%), older adults (≥ 70 years: 61, 62, 65; 90%), and women (66, 66, 64; 90%; vs. men 71, 70, 67; 93%, each P < 0.001). The most common atypical presentations under 60 years of age were nausea and vomiting and abdominal pain, and over 60 years was confusion. Regression models showed significant differences in symptoms with sex, age and country. Interpretation: This international collaboration has allowed us to report reliable symptom data from the largest cohort of patients admitted to hospital with COVID-19. Adults over 60 and children admitted to hospital with COVID-19 are less likely to present with typical symptoms. Nausea and vomiting are common atypical presentations under 30 years. Confusion is a frequent atypical presentation of COVID-19 in adults over 60 years. Women are less likely to experience typical symptoms than men

Čimbenici koji mogu utjecati na učinkovitu i sigurnu primjenu nesteroidnih antiinfamatornih lijekova

The community pharmacist challenges with the dispensing of medicines for the pain treatment, whether they are prescribed or recommended as over-the-counter medicines in self-treatment. It is very important to know pharmacodynamic and pharmacokinetic characteristics of individual drugs, but also to understand other factors that may influence their efficacy and safety. The fact that everyone differs due to the influence of genes, but also in impact of environmental factors on (de)activation genes, results in different responses to drugs. Implementations of personalized therapy concept in pharmaceutical care is a huge challenge for pharmacists as well as for the other health-care providers. Pharmacists, with their specific knowledge and skills related to drugs are in position to tailor personalized therapy approach. This paper presents the pharmacological characteristics of nonsteroidal anti-inflammatory drugs with emphasis on the impact of specific genetic variations on their efficacy and safety