Customer’s Perception on Automotive Spare Parts at XYZ Limited*, Kolkata Suprotim Ganguly (PGDM No.: 12113) Student, SDMIMD, Mysore suprotim12113@sdmimd.ac.in Nilanjan Sengupta Professor-HRM, SDMIMD, Mysore nilanjan@sdmimd.ac.in 41 Comments by the Faculty The XYZ group comprises of over 100 operating companies in seven business sectors: communications and information technology, engineering, materials, services, energy, consumer products and chemicals. The group has operations in more than 80
Words: 3453 - Pages: 14
VIVA Telecom | Marketing Research 420 | Group #1 | | Ali Bin-Shaibah 205113540Sulaiman Al-Fraih 206217072 | Table Of Content Part I: Executive Summary P.3 Part II: Company Background P.4 Part III: Research Plan P.9 Part IV: Plan Execution P.12 Part V: Results & Managerial Implications P.19 Part VI: Conclusion P.22 Work Cited
Words: 5260 - Pages: 22
Factors influencing Adoption of Mobile Banking in India Business Research Methods By, Group 5 Section B Sr. No 1 2 3 4 5 6 7 Name Raagul S N Viswanathan Muthu Ritesh Jain Karan Daga Anshul Gupta Debajib Das Ankur Bordoloi Roll Number 12DM-108 12DM-181 12IT-015 12FN-61 12HR-04 12DM-49 12IB-11 Group 5, Section B, Institute of Management Technology, Ghaziabad, PGDM 12-14 Page 1 Executive Summary: This study was conducted with the aim of identifying the factors affecting the adoption
Words: 3914 - Pages: 16
Determinants of Financial Literacy among Youth: Case of Amritsar City Dr. Arwinder Singh Assistant Professor/Department of Commerce Guru Nanak Dev University Regional Campus, Gurdaspur, Punajb, India #08968092299 arwinder.gndu@yahoo.com Nitika Bhandari (Corresponding Author) Assistant Professor/Department of Commerce Khalsa College for Women, Amritsar, Punjab, India #08146993589 Nitika3088@gmail.com Determinants of Financial Literacy among Youth: Case of Amritsar
Words: 3777 - Pages: 16
Cluster Analysis1 Cluster analysis, like reduced space analysis (factor analysis), is concerned with data matrices in which the variables have not been partitioned beforehand into criterion versus predictor subsets. In reduced space analysis our interest centers on reducing the variable space to a smaller number of orthogonal dimensions, which maintains most of the information–metric or ordinal– contained in the original data matrix. Emphasis is placed on the variables rather than on the subjects
Words: 6355 - Pages: 26
Republic of the Philippines UNIVERSITY OF SOUTHEASTERN PHILIPPINES COLLEGE OF GOVERNANCE AND BUSINESS B.O. Obrero, Davao City EXPLORATORY FACTOR ANALYSIS ON GANGSTERISM _________________________ In Partial Fulfilment of the Requirement for the Subject Data Analysis for Administrators _________________________ SHERWIN S. FORTUGALIZA September 2015 A total of two hundred sixty three (263) secondary students of Davao City National High
Words: 1542 - Pages: 7
You can script anything! Page 1 of 16 Visual Basic Script (VBSCRIPT) – You can script anything! Automating the Desktop Visual Basic Scripting is easy to learn and use! It can be used to automate tasks ranging from Windows Desktop Administration, to Microsoft Office Automation, to controlling and extracting information hosted by a 3270 emulation session for the Mainframe. All you need is an ASCII text file that ends in a “.VBS” extension and a little creativity. A few notes on the language
Words: 4473 - Pages: 18
1. W. Li, S. Prasad, J. Fowler and L. Bruce, "Class Dependent Compressive-Projection Principal Component Analysis for Hyperspectral Image Reconstruction", Proceeding of Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2011. 2. Z. Denghui and Y. Le, "Support Vector Machine Based Classification for Hyperspectral Remote Sensing Images after Minimum Noise Fraction Rotation Transformation", Proceeding of Internet Computing and Information Services conference, September
Words: 934 - Pages: 4
III. Principal Component Analysis (PCA)......................6 IV. Image Differencing......................................8 V. Change Vector Analysis (CVA)............................9 Relative accuracy of the most commonly used change detection methods........................................................9 I. Post-Classification Comparison.........................10 II. Direct Classification..................................11 III. Principal Component Analysis (PCA).
Words: 3616 - Pages: 15
contain incomplete or inaccurate information. Technical Details Payload Removal instructions Technical Details This network worm spreads via local networks and removable storage media. The program itself is a Windows PE DLL file. The worm components vary in size from 155KB to 165KB. It is packed using UPX. Installation The worm copies its executable file with random names as shown below: %System%\<rnd> %Program Files%\Internet Explorer\<rnd>
Words: 1158 - Pages: 5
