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The authors introduce a growth model of the circulation of a stock and flow process that makes use of stock as an important factor in designing a data marketplace. The model highlights the necessity of considering how learning efficiency must be designed for the purpose of concept design. The model is applied to a business case in commercial industry to discuss the essentials of stock and learning...
This paper reports on a case study that was conducted in a cloud High Performance Computing (HPC) project one that used very sensitive and confidential data. The study aimed to explore the security challenges and practicalities that occur within a cloud HPC project and to develop a method for making critical security decisions. Action research was used to examine the nuances throughout the project...
Patent data has been used for generating patent-based indicators for tracking the technology development of high-tech companies. In this paper, we further show the promises of exploiting patent data for the analysis and prospecting of high-tech companies in the stock market. Specifically, we aim at investigating the relationship between the patent activities of high-tech companies and the dynamics...
The advent of social networks and Internet-of-Things has resulted in unprecedented capability of collecting, sharing and analyzing massive amounts of data. From a security perspective, Big Data may seriously weaken confidentiality, as techniques for improving Big Data analytics performance-including early fusion of heterogeneous data sources — increase the hidden redundancy of data representation,...
In recent years, the widespread adoption of GPS enabled vehicles brings the Location Based Services new opportunities. It benefits many related fields such as urban planning, city traffic modeling, personalized recommendations and driving suggestions. The service providers can understand their users better by modeling the mobility pattern and provide more personalized services by predicting the destination...
Modern organizations invest a lot of resources in recruiting, managing, and retaining people with high value and talent. In spite of several studies over the past fifty years, there is no silver bullet for talent management, since the area itself is constantly evolving due to the ever-changing nature of the enterprise in the knowledge economy. In this paper, we adopt an analytics-based approach to...
Big Data is an emerging research topic. The term remains fuzzy and is seen as an umbrella term. Origin, composition, possible strategies, and outcomes are uncertain. Thus, the positioning of publications addressing business administrated issues related to Big Data is impeded. From a practitioner's point of view, the ability to communicate a value proposition is impeded due to the difficulty in scoping...
Groupon is a major e-commerce company. It is unique in the sense that it is not only a vendor of goods, but also of local deals (such as restaurants, spas, activities, etc.) that reflect various aspects of a user's interests. In this sense, Groupon has a complete view of its users' lifestyle preferences. This is different from e-commerce goods vendors, who, for instance, may not have direct insight...
Personal information is continuously gathered and processed by modern web applications. Due to regulation laws and to protect the privacy of users, customers, and business partners, such information must be kept private. A recurring problem in constructing web applications and services that protect privacy is the insufficient resources for documenting them. As web applications must be developed consistently...
Project size, as measured by the amount of investment required, is a relevant parameter to be used in project selection. The evaluation of a project portfolio must consider the variety of project sizes that may be met, so that a proper model should be adopted to describe that variety, especially for its use in simulation. In this paper, a log-normal probability model is suggested to describe the dispersion...
Analysis of safety inventory decision is of great significance to effectively reduce the inventory cost and fund occupancy rate, and to ensure timely material supply of power grid, while analysis of safety inventory decision of power companies is based on material consumption forecasting data. As the industry particularity of power company material consumption, the existing problems of data are not...
The supplier selection problem is one of the strategic decisions that have a significant impact on the performance of the supply chain. In this study, supplier selection problem of a well-known refining company in Africa is investigated and an integrated ANP-PROMETHEE methodology is used to select the best supplier providing the most customer satisfaction for the criteria determined. After the main...
Data fusion is a major task in data management. Frequently, different sources store data about the same real-world entities, however with conflicts in the values of their features. Data fusion aims at solving those conflicts in order to obtain a unique global view over those sources. Some solutions to the problem have been proposed in the database literature, yet they have a number of limitations...
This article describes the design, comparison and evaluation of predictive models from the area of monitoring data on the basis of CRISP-DM and RadpidMiner technology, for the purpose of improving IT processes in the company. These models have been created on a sample of real data from the monitoring of IT systems in one of the largest companies in Slovakia. Article defines the detailed description...
Deep learning based on artificial neural networks is a very popular approach to modeling, classifying, and recognizing complex data such as images, speech, and text. The unprecedented accuracy of deep learning methods has turned them into the foundation of new AI-based services on the Internet. Commercial companies that collect user data on a large scale have been the main beneficiaries of this trend...
With the continuous and rapid development of online questionnaire survey, the low response rate has plagued operating companies. To solve this problem, this paper proposed an effective user invitation model by our improved clustering algorithm, which analyzed large-scale historical user behavior characteristic data, including users' quality data, users' preferential data and users' similarity data...
Electric charge is the primary income for the power company. However, collecting electric charge is much difficult due to the existence of the risky consumer which makes the huge impact on the normal operation and development of the company. So the arrear problem of the risky customers has become one of the focus problems. Based on the gettable electric data from some areas, this paper proposed an...
In this era filled with big data, a crucial issue of knowledge management is to create an effective platform to integrate knowledge with new product development. Because of the 4V (Volumes, Variety, Velocity, Value) features of big data, traditional knowledge lifecycle management methods should be improved so as to better control and manage knowledge related activities. This paper thus discusses relevant...
This study analyzes the success of the implementation of business strategies in Polish manufacturing enterprises. It focuses on the use of motivators for knowledge workers and is based on a survey and from data obtained from 119 Polish manufacturing enterprises. In this study, the effect of the use of motivators in a manufacturing company is investigated via a simulation of a model using the Group...
The supplier selection process of a company depends on numerous criteria which can have differing importance factors. Solving this kind of multiple criteria decision making (MCDM) problem is essential for the long-term strategy of a company. While this problem is examined numerous times throughout the years, the consideration of involving economic, social and environmental factors, i.e. sustainability...
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