In this explorative research, we aim to find the most important service experience variables that determine customer purchasing decision and the clerks’ influence on customers’ purchases. This study was conducted as a case study of a children’s apparel company, denoted Company L, which has 243 retail stores. Company L has implemented Point of Sale (POS) systems in its retail stores, and would l...

Software Testing Effort (STE), which contributes about 25-40% of the total development effort, plays a significant role in software development. In addressing the issues faced by companies in finding relevant datasets for STE estimation modeling prior to development, cross-company modeling could be leveraged. The study aims at assessing the effectiveness of cross-company and withincompany proje...

PT Wahana Bandhawa Kencana is a mining company operating as contractor. Mining activities include set of overburden and coal getting activities. In activities, produktivity target plays an important role in company, so it necessary to figure out the cycle time used equipment. The method this research was quantitative observation on field condition also conducted. objectives determine time, prod...

a r t i c l e i n f o Keywords: Data mining Financial fraud detection Feature selection t-statistic Neural networks SVM GP Recently, high profile cases of financial statement fraud have been dominating the news. This paper uses data mining techniques such as Multilayer to identify companies that resort to financial statement fraud. Each of these techniques is tested on a dataset involving 202 C...

The joint venture of artificial neural network and data mining make the process more perfect, powerful, fast, distributed, fault and noise tolerance and independence of prior assumption. This paper is an overview of artificial neural network, data mining, knowledge management and the purpose of ANN in the field of data mining. Due to the huge amount of data in the data warehouse and data bases,...

As companies use enterprise resource planning (ERP) systems to support their business processes, they need to verify that the systems are configured appropriately and used in the most efficient way. This article describes the approach taken and results from a business process mining project at a midsized company in Norway. A newly released tool for analyzing ERP system logs is used to construct...

In this research the impact of media-richness on the investor reaction to earnings announcements is investigated. To this end, unstructured (high-richness) sources of analyst opinion are subjected to text-mining and combined with structured (low-richness) sources of analyst opinion, as well as other commonly used structured data relevant to company performance. Results indicate that equivocalit...

This paper considers a data analysis system for collaborative platforms which was developed by the joint research team of the National Research University Higher School of Economics and the Witology company. Our focus is on describing the methodology and results of the first experiments. The developed system is based on several modern models and methods for analysing of object-attribute and uns...

Strategic alignment is sometimes used to provide the conceptual underpinnings of causal analyses of business performance, yet our understanding of the notion suffers, in large measure, from imprecise and unusable definitions that rely on vague geometric metaphors. This paper builds on and improves a conceptual framework for strategic alignment (Wang and Ghose, 2006). It applies the framework to...