Amjad Pirotti, Abolfazl Keshavarzsaleh, F. A. Mohd Rahim and Norhanim Zakaria
Although success is a word that encapsulates a general and wide idea and it is challenging to provide a definite and a consensus definition from all individuals concerned, for many years, there has been a growing interest in identification of the success factors and the relationship with project success. In this research, the main objective investigates the relationship between top management, project mission, personnel, communication and Schedule/Plan and project success in construction industry in Malaysia. A survey was conducted among Managers and Employees of construction companies registered with Construction Industry Development Board (CIDB) of Malaysia and the correlation and regression analysis was carried out in order to test the hypotheses of the study. Key areas are now offered that practitioners and academics should further explore to contribute to the knowledge body on project success and to explore in more details which factors affect project success in construction industry in Malaysia.
Yukun Zheng, Yiqun Liu, Zhen Fan, Cheng Luo, Qingyao Ai, Min Zhang and Shaoping Ma
A number of deep neural networks have been proposed to improve the performance of document ranking in information retrieval studies. However, the training processes of these models usually need a large scale of labeled data, leading to data shortage becoming a major hindrance to the improvement of neural ranking models’ performances. Recently, several weakly supervised methods have been proposed to address this challenge with the help of heuristics or users’ interaction in the Search Engine Result Pages (SERPs) to generate weak relevance labels. In this work, we adopt two kinds of weakly supervised relevance, BM25-based relevance and click model-based relevance, and make a deep investigation into their differences in the training of neural ranking models. Experimental results show that BM25-based relevance helps models capture more exact matching signals, while click model-based relevance enhances the rankings of documents that may be preferred by users. We further proposed a cascade ranking framework to combine the two weakly supervised relevance, which significantly promotes the ranking performance of neural ranking models and outperforms the best result in the last NTCIR-13 We Want Web (WWW) task. This work reveals the potential of constructing better document retrieval systems based on multiple kinds of weak relevance signals.
Currently entrepreneurs have the opportunity to use many methods and tools that support production management, quality and improvement of working safety. A method worth paying attention to is the 5S method, which brings order and discipline to the workplace. The article presents practical aspects of the implementation of the 5S method using five simple steps that give the real benefits to a company. Particularly the specific solutions that can be applied at every stage of the implementation of the 5S method is indicated. Also innovative ways of conducting internal audits are presented. In addition, a model for the implementation of the 5S concept was proposed, which supports maintaining the healthy standards at a high level. It has been pointed out that the implementation of 5S rules must be constantly monitored and improved. Therefore, supervision and motivational activities are particularly important, especially from the side of leaders and managers represented an organization.
Ana Pavković, Mihovil Anđelinović and Ivan Pavković
Background: Cryptocurrencies represent a specific technological innovation in financial markets that keeps getting more and more popular among investors around the world. Given the specific characteristics of the cryptocurrencies, this paper examines the possibility of their use as a diversification instrument.
Objectives: This paper examines the direction and strength of the relationship between the selected cryptocurrencies and important financial indicators on the European Union market. Since cryptocurrencies are a novelty in the financial system, the empirical literature in this area is rather scarce.
Methods/Approach: In order to assess diversification properties of cryptocurrencies for European traders, a comprehensive econometric analysis was carried out. The first part of the analysis refers to the estimation of the multivariate Generalized Autoregressive Conditional Heteroskedasticity (GARCH) model, whereas the second part focuses on wavelet transforms.
Results: Bitcoin and Ripple proved as a possible diversification instrument on most of the observed European markets since corresponding coefficients of unconditional correlation are negative.
Conclusions: The relationship between the value of the cryptocurrencies and selected indices is generally very weak and slightly negative, indicating that some cryptocurrencies can serve as a means of diversification. However, investors need to take into account the extreme volatility, exhibited in all existing cryptocurrencies.
Blanka Horváthová, Ľuboslav Dulina, Eleonóra Bigošová, Miroslava Barbušová and Martin Gašo
The issue of static load arises as a result of the optimization of activities and the natural development of industry towards digitization, implementation of technologies in the production process and elimination of manual work. Due to the inherent need to facilitate or completely replace manual work with machines, human activity focuses on the development, design, and management of these machines. This article presents the results of a survey of the representation of professions with the primary seated position in the selected industrial enterprise in comparison with the most frequently registered professions in specific sectors. Likewise, the authors also deal with the elimination of static loads arising from the performance of sedentary work through ergonomic chairs offered on the Slovak market. The paper presents the results of the market analysis focusing on the parameters of office chairs, which are marked as ergonomic or health. The findings of these surveys serve as one of the starting points for the design of a complex dynamic office workplace, which the authors deal with in research at the Department of Industrial Engineering at the University of Zilina.
The lack of portfolio granularity in terms of exposure has been shown to have important implications for the amount of a financial institution’s economic capital. Based on a numerical simulation model, we provide concrete examples of how granularity affects capital levels. We achieve this by following two simulation approaches, including a dynamic setup as a more realistic version of the analysis. We show that granularity has an indirect effect on the expected loss component. This could lead to significant changes in the competitive environment should banks consider adding a granularity adjustment to the estimated amount of capital and account for it in their pricing.
The results of happiness analysis are presented in the form of a World Happiness Report that covers 156 countries and 17 different indicators. In the article model-based clustering ensemble is built to determine what selected European countries have similar patterns of happiness. The results are analyzed using multidimensional scaling and a decision tree to find out what factors determine cluster memberships. In the empirical part, three clusters were detected The first contains countries: Austria, Denmark, Finland, Germany, Ireland, Luxembourg, the Netherlands, Norway, Sweden, Switzerland and the United Kingdom. They have the highest values for all the variables, except the negative affect. The second cluster contains seven countries: Bulgaria, Estonia, Hungary, Lithuania, Poland, Romania and Slovakia. This cluster is also the most homogeneous one. The third cluster contains eight countries: Cyprus, the Czech Republic, France, Greece, Italy, Portugal, Slovenia and Spain.