Shrimad Rajchandra Institute of Management & Computer Application
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      Issue date June 2008
      Volume No 1
      Issue No 1
      No of pages 42
      Cover price Rs 150
      Subscription Rs 300 Annual
      Editor name & contact No Dr. Bankim Patel

      09909108335

      Journal website link www.srimca.edu.in/njsit
      Content
      Sr.No Article title Author(s) Contact e-mail
      Profiling the Adopters and Non-Adopters of E-PURCHASING: A Genetic Algorithm-based Data Mining Approach Dr. R.N. Satpathy

      Dr.  J. P. Panda

      rabi_satpathy@yahoo.co.in
      GRID implementation using service oriented architecture mining approach Raghu Nath, D. Radha Rani

      Sai Kalyan, R. Suresh

      kalyanbs@yahoo.com
      A simulation model to predict the progression of diabetics using non-pathological data Dr. P. V. Virparia

      Dr. Hetalkumar  Panchal 

      pvvirparia@yahoo.com
      Consumers’ perception about Maybelline’s product: A case study of Surat city using Factor Analysis M. B. Dave

      Gaurang Rami

      Trupti Goyani 

      medhavin55@rediffmail.com
      Forecasting of Stock Using Hybrid System Of Neural Network And Genetic Algorithm Nirupama Parmar

      Falguni Ranadive

      nirupama_28in@yahoo.com
      E-Business and Information Superhighway – The Indian Perspective Praveen Kumar

      Richa Anand

      pk7480@gmail.com
      Parallel MIN-MAX: An Approach For Parallelizing Game Tree Search Neelam Surti

      neelamsurti@yahoo.com

 
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About the journal (a brief write up about  your journal)
Journal Brief:

The aim of the journal is to publish research-based papers, articles and case reviews on various topics of current concern in the intersection of Management and Information Technology.

The journal focuses on original work on theoretical or empirical research or experience, and illustrates the practical applicability and/or policy implications of work described. It encourages the following kinds of contributions:

    • Original research articles - including theoretical/conceptual, empirical and critical studies
    • Book Review
    • Teaching Cases
    • Invited Articles

The Journal tries to maintain a balance between purely research oriented papers and those derived mainly from the experiences of practitioners involved in different areas of Information Technology and Management. The selection of papers for publication will be based on their relevance, clarity, topicality and originality; the extent to which they advance knowledge, understanding and application; and their likely contribution towards inspiring further development and research.

Author Guidelines (brief  account of your guideline)
Guidelines:

Prospective authors can submit their contributions in IEEE format to the Editor round the year. While sending contributions to the journal, author must follow the guidelines available at  www.srimca.edu.in/njsit.

All contributions will be blind reviewed by a committee of experts. The review process usually takes 2 to 3 months. The status of the contributions will be informed to the first author only.

Articles abstract (Please  provide  brief one page abstract of all the articles from your latest  issue )
  1. Article Title: Profiling the Adopters and Non-Adopters of E-PURCHASING: A Genetic Algorithm-based Data Mining Approach
Abstract: Data mining has been used in this e-commerce for some time already. It has many applications in this field such as: searching for patterns in transactional data, preparation of personalization application, etc. With the proliferation of the electronic commerce e-purchasing has become a daily practice for many purchasing organizations. To embrace e-purchasing successfully, these organization should identify determinants that are crucial for its successful adoption. In an effort to identify such determinants, including organizational readiness, information technology infrastructure, and user characteristics, we propose a novel generic algorithm-based data mining technique. The application of the proposed data mining technique to empirical data that were collected through a mail survey proves to be useful for extracting hidden, but valuable insights into the successful implementation of e-purchasing.
About Authors:
Dr. R.N. Satpathy

Prof., Trident Academy of Technology. Near Infocity, Bhubaneswar-24 , Orissa

E-mail:  rabi_satpathy@yahoo.co.in

Dr.  J. P. Panda

Asst. Prof., Trident Academy of Technology. Near Infocity, Bhubaneswar-24 , Orissa

  1. Article Title: GRID implementation using service oriented architecture mining approach
Abstract:  With the advent of Internetworking and evolvement of web technologies, business needs, especially isolated service requests/components, put a new demand on new software architecture. Service-oriented Architecture (SOA), as the next generation software architecture, and through the utilization of the web service, XML and other related technologies provides viable working solution to implement dynamic e-business.
About Authors:
Raghu Nath, D. Radha Rani

Assoc. Professor, IT Department, Vignan’s Engineering college, Vadlamudi, GUNTUR

Sai Kalyan, R. Suresh

IT Department, Vignan’s Engineering college, Vadlamudi, GUNTUR

E-mail: kalyanbs@yahoo.com

  1. Article Title: A simulation model to predict the progression of diabetics using non-pathological data
Abstract: This paper describes a simulation model to predict the progression of diabetics using non-pathogenic data. Simulation modeling is part of bioinformatics as bioinformatics is a management information system for molecular biology, computational biology, population modeling, numerical simulations and has many practical applications. Here we have used simulation model to diagnose disease and disease risk from the symptoms of an organism and some factors.
About Authors:
Dr. P. V. Virparia

Reader, G. H. Patel P G Department of Computer Science and Technology,

Sardar Patel University, Vallabh Vidyanagar – 388 120

E-mail: pvvirparia@yahoo.com

Dr. Hetalkumar  Panchal

Lecturer, G. H. Patel P G Department of Computer Science and Technology,

Sardar Patel University, Vallabh Vidyanagar – 388 120

  1. Article Title: Consumers’ perception about Maybelline’s product: A case study of Surat city using Factor Analysis
Abstract: In this study an attempt has been made to determine the factors which Maybelline customers keep in mind when they buy their products. We randomly selected 30 respondents from various parts of Surat city and they were asked to rank ten statements regarding Maybelline products on a 7-point scale. On the basis of data thus collected and applying Factor Analysis we arrived at the following conclusions:

It is found that three factors have been extracted from ten variables using Factor Analysis (data reduction technique) using SPSS 11. All these three factors viz. Eye Catching Effect’, ‘Effective Fragrance’, ‘Campaigning with Care by Maybelline’ or ‘Maybelline’s Publicity Policy’ contributed about 73 percent variation in Consumers’ perception about Maybelline’s product in Surat city.

About Authors:
M. B. Dave

Reader, Department of Economics, Veer Narmad South Gujarat University, Surat

E-mail: medhavin55@rediffmail.com

Gaurang Rami

Lecturer, Department of Economics, Veer Narmad South Gujarat University, Surat

Trupti Goyani 

MBE Semester – III, Department of Economics, Veer Narmad South Gujarat University, Surat

  1. Article Title: Forecasting of Stock Using Hybrid System Of Neural Network And Genetic Algorithm
Abstract: Genetic Algorithms and Artificial Neural Networks are soft computing methods inspired and motivated by the biological computational process. Neural Networks are highly simplified models of human nervous system which shows ability to adapt circumstances and learn from past experience at same time. Genetic algorithms are adaptive search and optimization algorithms, inspired by process of biological evolution. As prediction of stock market is important issue in finance, Artificial Neural Networks have been used in stock market prediction since last decade. The Hybridization of Neural Network with Genetic Algorithm is performed for the purpose of investigating better methods of problem solving.  Genetic Algorithm is doing optimization of Neural Network. Here the prediction of stock behavior is done using this Hybrid Approach.
About Authors:
Nirupama Parmar

Lecturer, Parul Institute of Engg. and Technology, Waghodia

E-mail: nirupama_28in@yahoo.com

Falguni Ranadive

Lecturer, Parul Institute of Engg. and Technology, Waghodia

  1. Article Title: E-Business and Information Superhighway – The Indian Perspective
Abstract: The Indian Market is flooded with the Information Technology Jargons. E-Business is the Buzzword, which every marketer and aware customer is chanting. However, if we dig into reality a little further, this proliferation of information technology seems to be restricted to few privileged parts of the country and still fewer sections of the public/private sectors of Indian market. The real challenge of using Information Technology for our benefit lies in the fact that ordinary players in the market is yet to be educated on the functionalities of technology and the hurdles lying in the path of making technology work for them.

This paper will describe the challenges of e-Business in context to India. The country which is more than one billion of population, e-Business is still have lot of scope to grow. This paper examines why India is lagging behind in e-Business when India is having information technology resources, vast number of well-established business organizations and a foundation for all sorts of Business-opportunities.

About Authors:
Praveen Kumar

Lecturer, IES Management College and Research Centre, ‘Vishwakarma’,  Mumbai

E-mail: pk7480@gmail.com

Richa Anand

Lecturer, IES Management College and Research Centre, ‘Vishwakarma’,  Mumbai

  1. Article Title: Parallel MIN-MAX: An Approach For Parallelizing Game Tree Search
Abstract: Game-playing systems have search engines at the core of the application. Although single processor machines are becoming faster every year, researchers are always looking for increased speed, since that will improve the quality of their game-playing systems. Faster machines provides deeper searches and a better quality of play-which can be taken one step further by using a large number of machines in parallel. Parallel game-playing systems use multiple processors to cooperate in computing the game-tree. Games like chess, checkers, go needs exponential computations. To get better results in selecting the steps in these games deeper depths are to be considered. As the depth of game tree increases the number of computation increases. Single processor system is not feasible to get the better results. In such cases we need multiple processors for evaluating the game tree. The whole game tree is distributed on multiple processors for getting better results. Parallel MIN-MAX is a game tree search algorithm distributed on multiple processors.
About Authors:
Neelam Surti

Lecturer, Computer Engg. Dept.,C. K. Pithawala College of Engg. and Technology, Surat

E-mail: neelamsurti@yahoo.com