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Business, Management and Accounting >
Business, Management and Accounting (General)
International Journal of Business Analytics and Intelligence
Publisher:Publishing India Group
Editor in chief:Tuhin Chattopadhyay
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Browse by Volumes
The Square Kilometer Array - Some Notes Regarding The Largest Telescope Being Planned And Why It Is The Ultimate Big-Data Challenge
Author:Avadhesh Gupta, Rajanish Jain, Gend Lal Prajapati
Volume: 1 | Issue no: 2-2013 | Pagination: 1-7
"The Square Kilometer Array (SKA)" is the largest radio telescope being developed in South Africa/Australia and planned to be operational by 2024. SKA will consist of millions of coherently connected antennas spread over an area of about 3000 km in extent with a total collecting area of approximately one square km. SKA will collect and decipher a deluge of radio signals from deep outer space to help us better understand the evolution of the universe and the nature of the matter. In this paper we provide an introduction to the SKA science project, its basic objectives, the engineering challenges it entails and why SKA is being touted as an ultimate big data challenge.
An Empirical Investigation Of Day Of The Week Effect In Stock Return: Evidence From Cnx Nifty
Author:Raj Kumar, Shraddha Mishra
Volume: 1 | Issue no: 2-2013 | Pagination: 1-11
Purpose of the Study: Indian markets have shown prompt response to the financial crisis in the year 2008 and the results affected the stock returns critically. An earnest attempt is made in this study to know the existence of weak form of efficiency in Indian market. Increased trade volumes in CNX Nifty have gained leading position within world indices. Therefore, it is essential that supplementary researches should be made for better understanding of efficiency in Indian market.Methodology Adopted: During the crisis, each index is likely to lose its efficiency. The efficiency in the stock market returns of India has been estimated using two parametric and two non-parametric tests. The daily data sample employed is from 01 April 2007 through 31 March 2012. The model used in this study will test the hypothesis of equal mean returns for each trading day of the week. This is the most common anomaly found in the stock market, whichpromotes investors to achieve abnormal gain in the market. Findings of the Study: It has been found that the crisis period (2007- 2012) had no impact on the returns of Indian market. In addition, it is interesting to see that the tests applied to know the randomness of the return is supporting the weak form of efficiency in the market. The results reveal that Indian stock market (CNX Nifty) is following weak form of efficiencyResearch Limitations: As far as limitations of the study are concerned, the research has been done by taking into account the Indian perspective only. Therefore, a major limitation is that it will not be applicable to other stock exchanges due to the cultural differences and trading background. Another limitation is that this study has brought together the data of market Index and individual scrips are not considered in it. This study is basically aiming at testing the efficiency of the CNX Nifty and creating an investment strategy through these findings which may not provide accurate results to marketers.Future Aspects:The study attempts to fill the gap of research in this area and suggests the nature of efficiency in CNX Nifty. Further research could be done on other indices, we can also test the efficiency of various other countries during the era of global crisis.
Data Mining And Analysis By R Language For Business Research: A Case Study On Stress And Its Influence On Health
Volume: 1 | Issue no: 2-2013 | Pagination: 1-8
R is not only a statistical suite but also efficient data mining software for data manipulation, calculation and graphical display. In fact, R being a language also has an effective data handling and storage facility. Besides having a suite of operators for calculations on arrays, in particular matrices. The R is developed from a simple and effective programming language (called "S") which includes conditionals, loops; user defined recursive functions and input and output facilities. Methods: In this paper the data mining capabilities of R has been explained with the help of a study on secondary data sources, obtained from certain authenticated sources. The study is all about to understand stress with respect to certain other factors like heavy drinking, perceived health and life satisfaction. As it mentioned the data so used is secondary in nature, which is in its crude from having no sense to the user. But by a systematic execution of certain data mining tools, like correlation and MANOVA, certain important relationships along with ties were realized. Conclusions: The realizations were that all variables are strictly correlated with Karl Pearson correlation coefficient ranging from 0.73 to 0.99. In significant test all variables do not belie with alternative hypothesis, which means the association/ relationship is not zero. In MANOVA, the null hypothesis is rejected as the p-value is less than 0.05. Apart from this, most interestingly the variables are behaving like cohorts whereby resulting cohort effect.
Mandatory Audit Rotation And Audit Opinion In Firms Listed In Tehran Stock Exchange
Author:Mehdi Hoseini, Saeid Jabbarzadeh Kangarlouei, Morteza Motavassel
Volume: 1 | Issue no: 2-2013 | Pagination: 1-5
The regulations require firms to disclose the reasons of changing auditors. Periodic audit rotation of firms indicates importance of this issue for users of accounting information. Audit rotation is important with respect to two viewpoints of mandatory and voluntary rotation. The present research is intended to study the factors affecting mandatory audit rotation and audit opinion, and its mutual effects on each other. To do so, 244 auditors of firms listed in Tehran StockExchange were randomly selected to complete the researcher-made questionnaire. The results indicate that there is a significant positive relationship between increased auditor's fees, risk, firm size and mandatoryauditrotation. Also, there is a positive significant relationship between type of audit reporting and changing of the auditors.
The Design And Implementation Of An Intelligent Online Recommender System
Author:Monika Arora, Uma Kanjilal, Dinesh Varshney
Volume: 1 | Issue no: 2-2013 | Pagination: 1-8
Recommender systems (RS) are intelligent applications in the field of information retrieval. Information retrieval assists users to take part in decision making process. It assists them in choosing one item from a vast set of alternative products or services. The scope of recommender systems has expanded gradually over the time from 1990s. As the user provides the inputs, these inputs are recorded and used as recommendations. These inputs are further used in the recommender system tool. The inputs received by the user are aggregated by the other people's inputs and then the system sends them directly to the appropriate recipients (Dean etal., 1995). RS is basically a technology which is based on the important aspects such as collaborative or social filtering. There are many researches already in the area for collaborative filtering and social filtering (Bigus,1996; Rennieand Srebro, 2005). The RS can be used in intelligent information retrieval in the field of artificial intelligence.From information retrieval, recommendation technology explores and derives the vision that users are searching. In the process of recommendations, the user is engaged in information searching and the RS automates and collects the content required for matching purposes. Typically the search results are arranged in the form of a ranked list. One of the important phases of artificial intelligence is learning process. This will view the past knowledge, buying behaviour, and interest. The RS are primarily based on two phases that are search phase and user-based interaction model. These phases can be identified as user-model construction and recommendation generation. This paper defines the importance of both the models. The interaction modeldescribes the user needs and preferences. Based on the interactions, during the session they are connected to the same interest group. This paper attempts to define a proposed model for considering the factors of intelligent retrieval.
Unravelling The Factors Leading To The Success Of Automated Software Projects
Author:Nidhi S. Natrajan
Volume: 1 | Issue no: 1-2013 | Pagination: 1-9
Software projects are becoming more complex and dynamic in the current global scenario, and consequently understanding the factors which affect the success of such complex projects becomes critical. Lot of research work has been done in this area, and high failure rate of software projects was reported. This study tries to understand the impact of various factors like process guidance by the tool, integration of task and information, work flow, transparency of information, and visualization of analyzed information on the success of the software project. Design/Methodology/Approach: The success of the project, work flow, transparency of information, process guidance by the tool, visualizations of analyzed information and integration of task and information are measured through 30 items. The questionnaire measured all items on seven point Likert scale, and multiple regression was applied to find the impact of process guidance by the tool, integration of task and information, work flow, transparency of information, visualization of analyzed information on success of the software project. Findings: Process guidance by the tool, integration of task and information, work flow, transparency of information, visualization of analyzed information of the project management software used in a software project have impact on the success of the software project. The study further establishes that process guidance by the tool has highest impact, integration of task and information has second highest impact, work flow has third highest impact, transparency of information has fourth highest impact and visualization of analyzed information has the least impact on the success of the software project. All these five factors explain 83.9% of the variation of success of the software project. Research Limitations/Implications: The data were collected from 150 respondents and the size of data can be increased for better result. Process guidance Unravelling the Factors Leading to The Success of Automated Software Projects Nidhi S. Natrajan* * Assistant Professor, Galgotias Business School, Greater Noida, Uttar Pradesh, India. E-mail: firstname.lastname@example.org. INTRODUCTION Software project management plays an important role in providing framework of planning, control and analysis of a software project. In spite of application of proper software project framework, high failure rates are by the tool, integration of task and information, work flow, transparency of information, visualization of analyzed information, with respect to project management tool are only some of the factors considered in the paper to understand the software project success; other factors could also be combined to understand it in a better way. It could be studied in other countries as well. Practical Implications: The findings show the impact of process guidance by the tool, integration of task and information, work flow, transparency of information, and visualization of analyzed information of a project management software, on success of software project which will help project managers in handling the team in a better way, and management in providing improved working situation for the software developers and project managers for good results in the software projects. They will also be guided for purchase decision of project management software. Guidance is not only provided to project managers but also to vendors dealing in such tool, as to what factors should be emphasized while developing such project management tools. Originality/Value: Lot of work has been done to understand the factors affecting the success of software projects, but only few studies have conducted such study, with special reference to process guidance by the tool, integration of task and information, work flow, transparency of information, and visualization of analyzed information, and that to in the Indian context.
The Effect Of Ownership Structure On Voluntary Discloser In Tehran Stock Exchange
Author:Saeid Jabbarzadeh Kangarlouei, Hamed Alizadeh Birjandi, Morteza Motavassel
Volume: 1 | Issue no: 1-2013 | Pagination: 1-10
This study aims to investigate the impact of ownership structure on voluntary discloser in financial reporting of firms listed in Tehran Stock Exchange (TSE). To do so, ownership structure is classified into three groups namely institutional, managerial, and corporate ownership. In addition, voluntary disclosure is determined through 30 indexes which have been applied by previous studies, making some modifications. Sample of the study includes 101 firms listed in TSE whose financial statements and board activity reports are studied during the period of 2009 to 2011. To test each hypothesis, regression model using SPSS software is used which led to a comprehensive multivariate regression. The results show that there a positive significant relationship between ownership structure components (institutional, managerial and corporate ownership) and voluntary discloser in financial reporting of firms listed in TSE.
Vegetation Stress Detection With Hyperspectral Remote Sensing For A Winning Agribusiness
Author:Partha Pratim Ghosh, Pabitra Banik, Nilanchal Patel, Deb Jyoti Pal
Volume: 1 | Issue no: 1-2013 | Pagination: 1-9
The subject agribusiness has drawn an enormous attention by organized sector in national and multinational level with the recent move of the Government of India to allow Foreign Direct Investment (FDI) in the retailing sector. Technology driven efforts are very much important in this changed scenario to increase market efficiency reducing inventories, waste, and costs. Earth Observation Satellite (EOS) imagery driven Remote Sensing (RS) and Geographical Information System (GIS) technology can be utilized as a high-end Spatial Decision Support System (SDSS) to extract the different aspects of agriculture like land-use land-cover (LULC) condition, soil properties like moisture estimation, moisture conservation, crop identification, identification of suitable farming site for suitable crop, acreage estimation, crop monitoring, damage monitoring, and complete supply chain monitoring includes crop vehicle tracking integrating Global Positioning System (GPS). Increased availability of narrow band hyperspectral imagery from Hyperion sensor has prompted to explore hyeprspectral imagery to estimate the vegetation biophysical parameters and leaf biochemical used to detect nutritional and water stress condition. This paper summarizes the use of hyperspectral remote sensing for vegetation monitoring through biochemical and biophysical parameter estimation, discussing the potential for detecting water stress. Central to this objective is our primary research question: Can remote sensing play a key role to monitor agri-crop health to enhance the agribusiness efficiency.
Business Analytics: A Perspective
Author:Purba Halady Rao, Saptarshi Ray, Praveen Kumar
Volume: 1 | Issue no: 1-2013 | Pagination: 1-12
Awareness to the relevance of Business Analytics in identification of product attributes is considered significant by the market, relevance of Business Analytics in assessing factors leading to customer satisfaction, relevance of Business Analytics in Market segmentation, Market performance, relevance of Business Analytics in Finance applications and in Human Resources applications. Also a seventh construct was considered capturing the keenness of managers to incorporate Business Analytics in their company operations. Using the last construct as grouping variable, Analysis of Variance, ANOVA, was applied to assess which of the first six constructs significantly led to manager's keenness to incorporate Business Analytics in their company operations. The empirical study concluded that out of the six awareness constructs, awareness was already significant for Identification of product attributes, market segmentation issues and customer satisfaction. However, for the other three constructs, awareness was not yet significant. From the ANOVA one may conclude that awareness to: (a) Market segmentation, (b) market performance and (c) HR applications would highly significantly (2% level of significance) lead managers to incorporate Business Analytics in their company operations. The three other awareness constructs, product attributes, finance and H.R. applications do not yet lead to the keenness of managers to incorporate Business Analytics in their company operations at such high degree of confidence.
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