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Despite the benefits of investing in Big Data systems are largely recognised, their adoption have been slower than expected. Actually, organisations and companies cannot migrate their systems to new a technological infrastructure without a safe integration to their legacy systems and data. For these reasons, it is required to evolve Big Data technologies with mature functions for supporting portability,...
Todays production processes are becoming more and more flexible. Customers frequently demand specific production steps that fit to their processes. This leads to a needed flexibility for systems that are used to support decision making processes and the production itself. In this paper an approach is presented that uses process definition coming from an integrated enterprise modelling for connecting...
Telecommunication companies are acknowledging the existing connection between customer satisfaction and company revenues. Customer churn in telecom refers to a customer that ceases his relationship with a company. Churn prediction in telecom has recently gained substantial interest of stakeholders, who noticed that retaining a customer is substantially cheaper that gaining a new one. This research...
Companies today are developing business strategies taking into consideration behavior of their customers through social networks, which have allowed to extract large amounts of relevant data about users. This is why it has been necessary to apply data mining techniques to find patterns that describe the preferences of users in different contexts. This paper describes the results of using data mining...
This paper simulates Companies' ego networks on Twitter, meaning the companies' number and type of followers. Evident from our data, we show that followers' distribution, in our focus, is neither scale free nor random, thus common network simulations cannot be used to mimic observed data. We present novel rate equations model to capture the complex dynamics of these ego networks.
In this paper, we focus on the problem of analyzing the operating performance of insurance companies, and this problem is crucial for modern financial industry development. Index system for evaluating operating performance of insurance companies is made up of four parts: 1) Profitability, 2) Solvency, 3) Capital adequacy and 4) Management ability. Main idea of this paper is to introduce DEA model...
Today's Cloud based render farm usually requires end users to transfer modeling data into the Cloud for rendering and makes the end users to trust the providers of the cloud infrastructure with many security policies. However, the end users have no basis to determine if these Cloud services are trustworthy, except the assurances of the service provider. This brings up a serious security concern on...
The number of data sources available inside and outside companies and total data points increase, which makes the coordinated data selection in the forefront of decision making with respect to a specific economic goal becomes more and more relevant. To assess the available data and enhance decision support, we develop a framework including a process model that supports the identification of goal-oriented...
Companies in today's world need to cope with an ever greater need for flexible and agile IT systems to keep up with the competition and rapidly changing markets. This leads to increasingly complex system landscapes that are often realized using service-oriented architectures (SOA). Companies often struggle to handle the complexity and the governance activities necessary after this paradigm shift....
Catastrophes have caused tremendous damages in human history and triggered record high post-disaster relief from the governments. The research of catastrophic modeling can help estimate the effects of natural disasters like hurricanes, floods, surges, and earthquakes. In every Atlantic hurricane season, the state of Florida in the United States has the potential to suffer economic and human losses...
The Florida Public Hurricane Loss Model (FPHLM) is a public catastrophe model that integrates and regulates all key components, such as meteorology, engineering, and actuarial components, by following a certain workflow in the execution phase. The validation phase governed by an Automatic Data Validation (ADV) program simulates each modeled execution component with a large number of historical insurance...
This paper proposes an agent-based simulation model to explore new structures of decentralized inter-organizational firms in order to follow recent rapid changes of business environments. The proposed model is characterized by 1) a decentralized inter-firm structure, 2) a centralized inter-firm structure and 3) a combined inter-firm structure of decentralized and centralized elements. Based on the...
The fraudulent financial statement of a company is becoming serious over the last few years, so, finding a valid forecasting fraudulent financial statement model is an urgent work for academic research and financial practice. The UTilities Additives DIScriminants (UTADIS) classification method is an effective approach to classify some data into different groups. Therefore, based on UTADIS method,...
In order to explain the reason of the high underpricing rate of IPO and to judge whether there exists IPO underpricing, combined with China's specific policy system, this paper classified the IPO first-day underpricing or discount and constructed a classifier by using the decision tree modeling under the multiple influence factors. The numbers listed in this article refer to the data of initial public...
This paper adds to our understanding of how ICT helps to improve SC performance. We investigate both indirect and direct effects of ICT and find based on data from Chinese manufacturers that inter-organizational ICT has a positive effect via SCM-practices if the uncertainty is high. We do not find support for that relationship if uncertainty is low. No support is found for an direct effect of inter-organizational...
The capital structure remarkably determines the debt paying and refinancing capacity of an enterprise and then influences the future earning level. In this paper, firstly we analyze the conditions and characteristics of the capital structure of 24 listed companies in Hebei Province through the related data from 2006 to 2015. Then, we examine the mainly micro-factors to capital structure by the empirical...
With the dramatic competition in the Information Technology (IT) industry, if the IT business wants to obtain a more stable marketplace and maintain a constant source of profits. How to maintain long-term and relatively stable trading relations with customers need to be considered. Further more, they should also encourage customers to generate repurchase intention and conduct buying behaviors. This...
Class imbalance is a major problem in machine learning. It occurs when the number of instances in the majority class is significantly more than the number of instances in the minority class. This is a common problem which is recurring in most datasets, including the one used in this paper (i.e. direct marketing dataset). In direct marketing, businesses are interested in identifying potential buyers,...
In Switzerland small and medium-sized enterprises represent more than 99% of all businesses. Therefore, prediction of their micro- and macroeconomic business development is of importance. In this paper, we propose a novel approach for predicting business volume using company characteristics and characteristics of the county the company operates in. We investigate which data sources can be combined...
Relations between the users' expertise, complexity of tasks to be solved by knowledge-based organizations and mission of smart information systems, is a multi-dimensional structure that should provide the necessary conceptual framework of sustainable integrated smart development. The users of smart information systems face a variety of problems, such as: system access, data recovery, identifying and...
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