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On an average 9 out of 10 startups fail(industry standard). Several reasons are responsible for the failure of a startup including bad management, lack of funds, etc. This work aims to create a predictive model for startups based on many key things involved at various stages in the life of a startup. It is highly desirable to increase the success rate of startups and not much work have been done to...
Enterprise in financial trouble is a comprehensive event and the enterprise financial situation can be reflected through the liquidity ratio, earnings per share and net assets per share and cash content per share. Artificial neural network method is used to establish the financial early warning model to find the potential financial crisis at an early age. The experiment results show that BP neural...
Effort estimation is a project management activity that is mandatory for the execution of software projects. Despite its importance, there have been just a few studies published on such activities within the Agile Global Software Development (AGSD) context. Their aggregated results were recently published as part of a secondary study that reported the state of the art on effort estimation in AGSD...
In the current social, technological and economic context, customers make their decisions based mostly on the opinion of other consumers. On the other side, companies need quick feedback from their customers in order to adapt to their needs in real time. The effective connection between these two aspects relies on opinion mining tools, which automatically process consumers' reviews and opinions about...
We propose a retailer's inventory replenishment policy to cooperate with suppliers in a periodic review. The retailer shares an advanced replenishment plan based on demand forecast with the supplier and commits cumulative periodic order quantity of the same planning horizon with advanced replenishment plan within range of a lower and upper percentage of the planned quantity. Using a year sales data...
Information disclosure is a critical determinant of portfolio allocation in capital markets. Securities analysts as important “information traders”, their follow-up behavior and information disclosure of the firms they follow participate in an interaction relationship. This paper sheds light on the three different roles of analysts. Based on the perspective of role of analysts, we reviewed relevant...
This paper provides the first evidence, using listed Japanese companies, that information in accruals has become more helpful as an early warning indicator of Financial Statement Fraud when they are appropriately preprocessed.
Proper validation and verification of electrical and electronics products in the design and development phase is very important. Companies manufacturing these products invest a significant amount of money and effort in verification and validation of their products before starting mass production for market, resulting in an increase of the overall development cost of these products. This paper provides...
User interaction with web sites generates a large amount of web access data stored in the web access logs. Those data can be used for e-commerce to conduct an evaluation of possessed website pages as one of the efforts to understand the desires of the user. Through classification techniques in web usage mining, we conducted an experiment to categorize a number of data obtained from the client log...
The Enterprise Resource Planning (ERP) system is an integrated software package applied by many enterprises as an operations platform over the past years. However, according to an industrial survey, the failure rate of ERP system implementation is relatively high because of high implementation costs and long implementation time, incapable implementation teams, process misfits, resistance to change...
During the last decades and recession of 2007–2009 witnessed many global financial crises. Consequently, this research represents a proactive study via introducing new modeling tool; in order to diagnose the financial distress and assess its probability of occurrence. The Neuro-Logit is a new approach for diagnosis, prediction and forecasting corporate financial distress. This tool acts as Logit (Logistic...
As the U.S. military transitions to networkenabled operations, there is a need for systematic investigation into how human decision-making affects and is affected by the resulting rapid increase in communications and information flow [1]. The challenges associated with Big Data (volume, variety, velocity and veracity) become relevant for Soldier performance at the Mission Command and squad leader...
The cost of healthcare in the U.S. Has been rising with an alarming rate during the last two decades. One of the causes for the rising cost is medical bad debt. There is surprisingly very little research that explores the performance of computational intelligence and soft computing methods in improving bad debt recovery in the healthcare industry. This study examines the performance of an adaptive...
At present, Big Data have been created lot of buzz in the technology world. Sentiment Analysis or opinion mining is one of the important applications of 'Big Data', where sentiment analysis is used for recognising voice or response of crowd for products, services. This concept describes the items in some detail and evaluate them as good/bad, preferred/not preferred. The results are very important...
Data mining has been recently used in the field of car insurance to help the insurance companies in predicting the customers' choices in order to provide more competitive services. In this composition, the random forest was used to develop a classification model that could be applied in predicting which of the insurance policies would likely to be chosen by the customers. The performance of the developed...
In the maintenance of a business system, developers must understand the computational business rules implemented in the system. Computational business rules define how an output value of a feature is computed from inputs, the rules are represented by conditional statements in the source code. Unfortunately, understanding business rules is a tedious and error-prone activity. Since a feature computes...
The Cyclone division of the company in the case study has been plagued by maintaining sales growth, late delivery of products, a high turnover of staff and a lack of developing new products. The interrelationships between the aspects are complex and contribute towards substandard performance in the division. The investigation set out to determine how the sales function should be managed and how to...
A waybill is a document that accompanies the freight during transportation. The document contains essential information such as, origin and destination of the freight, involved actors, and the type of freight being transported. We believe, the information from a waybill, when presented in an electronic format, can be utilized for building knowledge about the freight movement. The knowledge may be...
We propose a method for fair and accurate assessment of group work based on trust networks generated by mutual evaluations. Group work is often used for educational activities in universities since it is an effective way to acquire useful knowledge in a number of practical subjects. One drawback is the difficulty of deciding on final marks. Some students may work quite hard whereas others may rarely...
From small local businesses to large multinationals, we can find a lot of initiatives in order to put their business online. E-Commerce is rapidly expanding worldwide with the emergence of new web shops, business to business services, or payment services, just to name a few. E-Commerce companies have been continuously improving their business incomes and extending their influence in the market. However,...
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