dinesh babu thava 0702 mba2003 fsm final project report

THE EFFECTIVENESS OF SAP IMPLEMENTATION IN FINANCE

DEPARTMENT WITH REFERENCE TO

SOUTH INDIAN CORPORATION (P) LTD

By

DINESH BABU T

0702MBA2003

68107201009

A PROJECT REPORT

Submitted to the

FACULTY OF MANAGEMENT SCIENCES

in partial fulfillment for the award of the degree

of

MASTER OF BUSINESS ADMINISTRATION

CENTRE FOR DISTANCE EDUCATION ANNA UNIVERSITY CHENNAI

CHENNAI 600 025

July, 2009

BONAFIDE CERTIFICATE

Certified that the Project report titled _________________________________________

_______________________________________________________________________

is the bonafide work of Mr. / Ms. ________________________________who carried out

the work under my supervision. Certified further that to the best of my knowledge the

work reported herein does not form part of any other project report or dissertation on the

basis of which a degree or award was conferred on an earlier occasion on this or any

other candidate.

Signature of student Signature of Guide

Name: T DINESH BABU Name: Mr. D JAYAKUMARRoll No: 0702MBA2003 Designation: ERP ConsultantReg No: 68107201009 Address: Anna University

Signature of Project-in-charge

Name: Mrs A THIRUCHELVIDesignation: Professor, Anna University

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Certificate of Viva-voce-Examination

This is to certify that Thiru/Ms. /Tmt ………………………………….............................

(Roll No……………….…….; Register No. …………………….) has been subjected to

Viva-voce-Examination on …………………… (Date) at …………….. (Time) at the

Study centre ……………………………………………………………..……………......

……………………………………………………………… ……………………………

(Name and Address of the Study centre).

Internal Examiner External Examiner

Name: Name:Designation: Designation:Address: Address:

Coordinator Study centre

Name:Designation:Address:Date:

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ACKNOWLEDGEMENT

I am thankful to South Indian Corporation India (P) Ltd, which has imparted me

sufficient knowledge and confidence to complete the project successfully in the field of

corporate training.

I express my special thanks to My Parents and Family Members for the constant support

and encouragement extended to me in completing this project on time.

I would especially like to express my gratitude towards Mr. D. JAYAKUMAR,

ERP Consultant, Sun Direct Television P Ltd, who was my project guide and

Mrs. A. THIRUCHELVI, Professor, Dept of Management Studies, Anna University,

who was my Project-in-charge for all the support and constant feedback on my progress

made during the project.

I would also like to thank Mr. JASON PEARCE, Operations Head, NewGen and all

office staff for their support and encouragement, which helped me to complete this

project successfully.

I extend my heart felt thanks to Ms. S NIRMALA, H.O.D, Department of Computer

Science and Engineering, I.F.ET College of Engg for encouraging me towards the

professional degree in Management Studies.

My heart felt thanks to all the noble hearts that has helped me to do complete this project

successfully.

Place: Chennai

Date: (DINESH BABU T)

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ABSTRACT

The project work has been undertaken at South Indian Corporation (P) Ltd.

The project is titled as “THE EFFECTIVENESS OF SAP IMPLEMENTATION IN

FINANCE DEPARTMENT” with reference to South Indian Corporation (P) Ltd

The objective of this project is the effectiveness of sap implementation measures of

employees of in South Indian Corporation (P) Ltd

Sampling technique used is Random sampling and the sample size is 250.

A statistical tool like t-test, correlation & chi-square test used for analysis and

interpretation was carried out by using percentage method, and weighted average method.

The collected data are tabulated, analyzed and interpreted. Finally the results are given as

findings and recommendations to the company for better prospects.

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CHAPTER NO CONTENTS PAGE NO

LIST OF TABLESLIST OF CHARTS

viiviii

I 1.1 INTRODUCTION1.2 SCOPE OF THE STUDY1.3 IMPORTANCE OF THE STUDY1.4 OBJECTIVE OF THE RESEARCH

PRIMARY OBJECTIVE SECONDARY OBJECTIVE

1.5 RESEARCH DESIGN1.6 SAMPLING DESIGN1.7 HYPOTHESIS1.8 EXPECTED CONTRIBUTION OF THE STUDY1.9 LIMITATIONS OF THE STUDY

2567

810141516

II THEORETICAL ANALYSIS

2.1 COMPANY PROFILE2.2 PRODUCT PROFILE2.3 REVIEW OF LITERATURE

182022

III 3.1 DATA ANALYSIS & INTERPRETATION3.2 STATISTICAL TOOLS FOR ANALYSIS

3050

IV 4.1 FINDINGS4.2 SUGGETIONS4.3 CONCLUSION

BIBLIOGRAPHYANNEXTURES

586061

6263

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LIST OF TABLES

S No PARTICULARS Page No

1. Distribution of respondents based on Gender 302. Distribution of respondents based on Age 313. Distribution of respondents based on Software package using 324. Distribution of respondents based on Experience held 335. Distribution of respondents based on Full filled requirements 346. Distribution of respondents based on Time efficient 357. Distribution of respondents based on Implementation cost 368. Distribution of respondents based on Confidentiality 379. Distribution of respondents based on Quality of service 3810. Distribution of respondents based on Data lossage 3911. Distribution of respondents based on Initial training of respondents 4012. Distribution of respondents based on Training duration 4113. Distribution of respondents based on Expecting training 4214. Distribution of respondents based on Additional training 4315. Distribution of respondents based on Emerging technology 4416. Distribution of respondents based on Co-ordination between dept., 4517. Distribution of respondents based on Technology driven 4618. Distribution of respondents based on Complete package of sap 47

19. Distribution of respondents based on Satisfaction level 48 20. Distribution of respondents based on Usage of SAP 4921. Correlation 5022. Chi-Square 5123. Sample Kolmogorov-Smirnov Test 5324. ANOVA 5425. Paired Samples Statistics 55

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LIST OF CHARTS

S No PARTICULARS Page No

1. Distribution of respondents based on Gender 302. Distribution of respondents based on Age 313. Distribution of respondents based on Software package using 324. Distribution of respondents based on Experience held 335. Distribution of respondents based on Full filled requirements 346. Distribution of respondents based on Time efficient 357. Distribution of respondents based on Implementation cost 368. Distribution of respondents based on Confidentiality 379. Distribution of respondents based on Quality of service 3810. Distribution of respondents based on Data lossage 3911. Distribution of respondents based on Initial training of respondents 4012. Distribution of respondents based on Training duration 4113. Distribution of respondents based on Expecting training 4214. Distribution of respondents based on Additional training 4315. Distribution of respondents based on Emerging technology 4416. Distribution of respondents based on Co-ordination between dept., 4517. Distribution of respondents based on Technology driven 4618. Distribution of respondents based on Complete package of sap 4719. Distribution of respondents based on Satisfaction level 4820. Distribution of respondents based on Usage of SAP 49

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CHAPTER I

INTRODUCTION

1.1 INTRODUCTION

An Introduction to SAP

SAP was founded in 1972 in Walldorf, Germany. It stands for Systems, Applications and Products in Data Processing. Over the years, it has grown and devolved to become the world premier provider of client/server business solutions for which it is so well known today. The SAP R/3 enterprise application suite for open client/server systems has established a new standard for providing business information management solutions.

SAP products are considered excellent but not perfect. The main problem with software product is that it can never be perfect.

The main advantage of using SAP as your company ERP system is that SAP have a very high level of integration among its individual applications which guarantee consistency of data throughout the system and the company itself.

In a standard SAP project system, it is divided into three environments, Development, Quality Assurance and Production.

The development system is where most of the implementation work takes place. The quality assurance system is where all the final testing is conducted before moving the transports to the production environment. The production system is where all the daily business activities occur. It is also the client that all the end users use to perform their daily job functions.

To all company, the production system should only contain transport that has passed all the tests. SAP is table drive customization software. It allows businesses to make rapid changes in their business requirements with a common set of programs. User-exits are provided for business to add in additional source code. Tools such as screen variants are provided to let you set fields attributes whether to hide, display and make them mandatory fields.

This is what makes ERP system and SAP in particular so flexible. The table driven customization are driving the program functionality instead of those old fashioned hard-coded programs. Therefore, new and changed business requirements can be quickly implemented and tested in the system.

Many other business application software have seen this table driven customization advantage and are now changing their application software based on this table customizing concept.

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In order to minimize your upgrading costs, the standard programs and tables should not be changed as far as possible. The main purpose of using standard business application software like SAP is to reduce the amount of time and money spends on developing and testing all the programs. Therefore, most companies will try to utilize the available tools provided by SAP.

What is SAP R3?

We know that SAP R/3 is software, it particular it is client-server software. This means that the groups/layers that make up a R/3 System are designed to run simultaneously across several separate computer systems. When you install Microsoft Excel on your PC, each component of Excel (printing components, graphing components, word processing components, and etc.) is stored, managed, and processed via the hardware of your PC. When a company installs SAP’s software each component (or "layer” in R/3’s case) is stored, managed, and processed via the hardware of separate and specialized computer systems. Each of the various layers is capable of calling upon the specialty of any of the other installed layers in order to complete a given task.

Successfully Implementing SAP

Implementing a package can be a traumatic affair for both the customer and the vendor. Get it wrong and the vendor may get paid late or have to resort to lawyers to get paid and tarnish their reputation. For the company the new package may not work the way they expected, be late or cost a more than budgeted for and take management will take their eye off running their business.

Recently a client asked me what I would consider to be the five most important things one should consider before embarking on an implementation. This isn't a simple question, although there are many factors to think about after some consideration for me the top five are way ahead of the others.

My top five factors to consider would be:

Set up a Project Board Secure the resources

Complete the GAP Analysis

Have detailed Cut Over Plans

Train the users.

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What Is The Purpose Of R/3?

The sole purpose of an R/3 system is to provide a suite of tightly integrated, large-scale business applications.

The standard set of applications delivered with each R/3 system is the following:

PP (Production Planning) MM (Materials Management) SD (Sales and Distribution) FI (Financial Accounting) CO (Controlling) AM (Fixed Assets Management) PS (Project System) WF (Workflow) IS (Industry Solutions) HR (Human Resources) PM (Plant Maintenance) QM (Quality Management) CRM (Customer Relationship Management)

These applications are called the functional areas, or application areas, or at times the functional modules of R/3. All of these terms are synonymous with each other.

Traditionally, businesses assemble a suite of data processing applications by evaluating individual products and buying these separate products from multiple software vendors. Interfaces are then needed between them. For example, the materials management system will need links to the sales and distribution and to the financial systems, and the workflow system will need a feed from the HR system. A significant amount of IS time and money is spent in the implementation and maintenance of these interfaces.

R/3 comes prepackaged with the core business applications needed by most large corporations. These applications coexist in one homogenous environment. They are designed from the ground up to run using a single database and one (very large) set of tables. Current production database sizes range from 12 gigabytes to near 3 terabytes Around 8,000 database tables are shipped with the standard delivery R/3 product.

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1.2 SCOPE OF THE STUDY

The study focuses on the perception and level of satisfaction of employees in SAP in

finance department of SIC. It also helps the company to evaluate their operating

efficiency relating to various queries or employees requirements and to evaluate the

employee’s awareness level about the sap knowledge available to them.

The study enables the SIC to understand the service that are unsatisfactory to the

employees and that requires improvement and also helps them in identifying the critical

success factors.

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1.3 IMPORTANCE OF THE STUDY

The main importance of the study goes to understand the employee’s satisfaction

level towards SAP.

SAP strives to define and establish undisputed leadership in the emerging market for

business process platform offerings and accelerate business innovation powered by IT

for companies and industries worldwide. As part of its commitment to corporate

citizenship, SAP also contributes to economic development on a grand scale.

"SAP is recognized as a leader in demonstrating the highest level of integrity in its

corporate governance and practices. These efforts are informed and driven by the core

values of SAP – customer focus, integrity, quality, commitment, product excellence,

and passion."

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http://www.sap.com/about/citizenship/index.epx

http://www.sap.com/about/citizenship/index.epx

http://www.sap.com/about/governance/index.epx

1.4 OBJECTIVE OF THE RESEARCH

Primary Objectives:

To identify the employees interest in implementation of SAP in finance department.

To identify the difference between SAP and other software using in finance department.

To identify employees satisfactory level by implementing SAP in SIC.

To identify the understanding level of employees towards SAP.

Secondary Objectives:

To identify additional areas of expertise that is contained within the organization.

To identify areas in which the staff would like to develop further.

To analyze the importance of SAP in finance department of an organization.

To identify the expectations of employees towards SAP.

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RESEARCH METHODOLOGY

Research methodology is a way to systematically solve the research problem.

1.5 RESEARCH DESIGN

“A research design is the arrangement of the conditions for the collection and

analysis of data in a manner that aims to combine relevance to the research purpose with

economy in procedure”. The study is based on both ‘descriptive research’ and

‘Hypothesis testing research’.

Descriptive research:

The study is based on descriptive research descriptive research includes surveys

and fact-finding enquiries of different kinds. The major purpose of descriptive research is

description of state of affairs, as it exists as present. The main characteristics of this

method are that the researcher has no control over the variables; he can only report what

has happened or what is happening. The methods of research utilized in descriptive

research are survey methods of all kinds, including comparative and correlation methods.

Methods of data collection:

The study is carried out with the help of the following methods of collection.

1. Primary data

2. Secondary data.

Primary data:

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I have collected the primary data through the structured questionnaire from the

employees of SIC

Secondary data:

The secondary data are gathered from various sources such as website SIC of

newspapers, journals, magazines etc.

Nature of data:

In the survey the nature of data collected was primary, through the help of questionnaires.

Questionnaire design:

The questionnaire framed for the research study is a structured questionnaire in which all

the questions are predetermined before conducting the survey. The form of questionnaire

is of both closed and open type.

Close-ended questions:

The closed Type of questions is of

1. Dichotomous scale (Yes/No)

2. Likert 5-point scale (S.A,A,NA.ND,D.A,S.D.A)

3. Category scale (multiple items)

Multiple-choice questions:

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In this case, the respondents are offered two or more choices. The respondent has to

indicate which is applicable in this study.

1.6 SAMPLING DESIGN

This survey will be carried out through stratified random sampling.

Stratified Random sampling

Under stratified random sampling the population is divided into several sub – populations

that are individually more homogeneous than the total population ( the different sub –

populations are called ‘ strata’ ) and then we select items from each stratum to constitute

a sample.

Since each stratum is homogeneous than the total population, we are able to get more

precise estimates for each stratum and by estimating more accurately each of the

component parts, we get a better estimates of the whole. In brief stratified sampling

results in more reliable and detailed information.

Sampling method

The sample method used for the research is “stratified random sampling”, where the

customers visiting the bank for transacting are administered with the questionnaire and

were asked to answer the questions that help in determining their satisfaction level,

awareness level and the perceived bank’s operating efficiency.

Sampling size:

A sample size of 250 has been taken for the purpose of the project.

Data analysis and interpretation:

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Data collection:

With the prepared questionnaire, where the respondents were approached in the

appropriate time and at the appropriate places.

Data analysis:

Considering the manner of data collection adopted, the study analyzed the data on

qualitative basis. Various options collected from respective respondents are analyzed

separately.

The statistical bank is a collection of statistical procedures for extracting managed

information from data, it consists of usual statistical routines for calculating averages

measures of dispersion and cross tabulation of data, percentages and ratios, which are

highly useful when comparing two or more of data.

Data analysis has been done for 250 samples. The graphical tools used are Bar Diagram,

Pie Diagram, the statistical tools are percentage analysis, chi-square and ratio analysis,

cash flow analysis and fund flow analysis.

Data interpretation:

The data from each and every user was analyzed and interpreted individually and then

complied together and presented in the form of tables and charts.

In each table, the total respondents answering for a particular question is noted. Among

them the alternate answers were given and traced, finally, the percentage of each answer

for particular option is traced.

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STATISTICAL TOOLS USED FOR ANALYSIS

Chi-square test

Chi-square test is a non parametric test used most frequently by marketing researchers to

test the hypothesis. This test is employed for testing hypothesis when distribution of

population is not known and when nominal data is to be analyzed.

Chi-square test aims at determining whether a significant difference exists among the

graphs or whether the differences are due to sampling. Chi-square test is similar to T test

in which the degrees of freedom increase, where the distribution becomes more

symmetrical and resembles the normal curve. The following is the formula for calculating

chi-square test.

X= (Oij-Eij) ^2

Eij

Where Oij Observed Frequency

Eij Expected Frequency

Analysis of Variance (ANOVA)

Analysis of Variance is an extremely useful technique concerning researches in the

economics, education, business/industry and researches of several other disciplines. This

technique is used when multiple sample cases are involved. The ANOVA technique

enables us to perform this simultaneous test and as such is considered to be an important

tool of analysis in the hands of a researcher. Using this technique, one can draw

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inferences about whether the samples have been drawn from the populations having the

same mean.

Percentage analysis

Percentage refers to a special kind of ratio. Percentages are used in making comparison

between two or more series of data. Percentages are used to describe relationships.

Percentages can also be used to compare the relative terms, the distribution of to be more

series of data with a given table, it was difficult to interpret the table with absolute figures

but when percentages are used, it is very easy to find the relative differences in

distributions.

Ratio analysis

An analysis of financial statements based on ratios is known as ratio analysis. A ratio is a

mathematical relationship between two or more items taken from the financial

statements. It helps in measuring the profitability, solvency, and activity of a firm.

Cash flow analysis

It depicts the inflows and outflows of cash. Cash flow statement is the device for such

analysis. It highlights causes which bring changes in cash position between two balance

sheet dates.

Fund flow analysis

Fund flow analysis clearly shows internal and external sources of working capital and the

way funds have been used. It is derived from the analysis of changes which have taken

place in assets and equities between two balance sheet dates. It is helpful in judging the

credit worthiness, financial planning and budget preparation.

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1.7 HYPOTHESIS

Hypothesis may be defined as a proposition or a set of proposition set forth as an

explanation for the occurrence of some specified group of phenomena either asserted

merely as a provisional conjecture to guide some investigation or accepted as highly

probable in the light of established facts.

HYPOTHESIS I

There is no significant difference between the occupation and deposits.

Null Hypothesis:

There is no significant difference between the occupation and deposits.

Alternative Hypothesis:

There is a significant difference between the occupation and deposits.

HYPOTHESIS II

There is no significant difference between the perception and age.

Null Hypothesis:

There is no significant difference between the perception and age.

Alternative Hypothesis:

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There is a significant difference between the perception and age.

1.8 EXPECTED CONRIBUTION OF THE RESEARCH

This research work is will create the interest of the employees on SAP and this

study is recommended to the employees about the company act ivies for understanding to

the all the employees and also given some suggestion and technical view about the SAP

and there performance in company.

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1.9 LIMITATION OF THE STUDY

The study was undertaken only in the Chennai branch. Hence the conclusion

drawn from thus study can’t be generalized.

The data has been collected with the help of structured schedule and the validity

of the study depends, on the accuracy of the response given by the respondents.

Due to non availability of the all employees because of the tight schedule most of

the respondents are reducing to give response.

Due to various factors associated the information provided by employees has its

own bias

For collecting relevant information from employees prior appointment had to be

fixed.

The method of survey was very expensive.

Major part of the work is concern with financial data, adequate was not able to

pool because of secrecy maintain by the company.

The study revels the finding for the present and it will not reflect the future

The total cost factor involved in the entire training process

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CHAPTER II

THEORETICAL ANALYSIS

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2.1 COMPANY PROFILE:

Souh Indian Corporation (SIC) situated at Sipcot Industrial Park Irungattukottai, Sriperumpudur Taluk , Kanchipuram District is a wholly owned subsidiary M/s SIC project Indian Gmbh and belongs to the SIG group of Companies who at the market leaders in manufacturing equipments relating to construction industry more specifically for preparation transportation and placement of Ready Mix Concrete (RMC).

SIC was incorporated as a private limited company on 18th June 1998 and the necessary permission was obtained from the Secretariat for industrial assistance. Ministry of industries Government of India for a 100% foreign holding. The Total market share in India for various types of construction equipments ranges between 40-65% respectively. The group is known for its quality products and has been recognized one of the best manufacturers of these equipments

Looking at the design and software potential in India the group management decided to off load the group’s design and development work and software development works to the Indian company and accordingly SIC has set up a Software Technology park. The company has its good won at Pondicherry and branch offices at Mumbai, New Delhi, Kolkatta, Hyderabad, Behror (Rajasthan) and Bangalore. The Company has its Resident engineers stationed at Ahmadabad, Bangalore, Vizag, Belgaum, Kundankulam Camper, and Gaya & Chitogarh.

The company completed construction of the new factory at Irungattukottai and commenced production in November 2001. The investment in the project was appox Rs14 Crores. The market appears very good for the infrastructure industry and considering the thrust on infrastructure development in India, SIC is confident of achieving better in the years to come with substantial growth and demand for quality equipment.

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Associated Enterprises:

SIC Gmbh, Germany

Herne: Founded in the year of 1934, The headquarters of the SIC Gmbh is the administrative and technical center of the whole SIC Group, as well as being the main production base for concrete pumps and placing booms, slurry pumps and fire fighting equipment in Herne alone the SIC Gmbh employs more than 900 persons.

Memmingen: The headquarters of the SIC Gmbh, with a workforce of over 300, is located in Memmingen, Bavaria. This facility is the development and production centre for batching plants, truck mixers and concrete recycling plants. SIC Gmbh and SIC Gmbh have been team now for almost 20 years.

SIC Gmbh, Austria:

St. Stefam: This plant was founded as a subsidiary 30 years ago and employs more than 300 persons. St. Stefan Plant produces structural components for concrete pumps and placing booms.

Vienna: After founding a production plant in Carinthia in 1971, SIC Opened a branch in Vienna in 1982 employing 8 persons.

SIC America Inc:

White Bear Lake: SIC America Inc., White Bear, Minnesota, has been serving the

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North American Market since 1974. White Bear is responsible for sales and service, as well as local production and truck mounting of the SIC and SIC products.

2.2 PRODUCT PROFILE OF THE COMPANY

SIC – Group

On March 17th 1934 Friedrich Wilhelm SIC established a company in Germany’s most important industrial area, the Ruhr Valley. SIC products major customers were in the mining industry, in road construction, in civil engineering and construction. When post-war reconstruction began in1945 the company Developed several types of machinery, some of which are still today of the art. Among Them were hoists an inevitable concrete and mortar mixing machines. The SIC company was founded in Memmingen, Bavaria and is in manufacturing concrete mixing machines SIC made the first oil-hydraulic double-cylinder pump. This construction principle has been taken over by almost all of today’s manufactures.

In 1958 SIC started ready-mixed concrete with its first truck mixer two years later with the development of filling stations for truck mixers and in 1964, concrete batching plants with considerable capcities.In1965, SIC put the first truck mounted concrete pump on the market and upgraded it three years later by adding a placing boom. SIC also started activities in the field of environmental protection, building the first concrete recycling plant in 1976.

In addition to the 900 employees in the headquarters in Herne (Including 77 trainees) the SIC group employs a further 1500 persons worldwide in production plants in Germany. Austria the USA, Brazil, Russia, China and India.They sales and service centre in France, the Nether land, Austria, the Czech Republic and Swden as well as representations in more than100 countries worldwide. The SIC group is the world’s No.1 System house in all matters concerning concrete from batching and mixing to transport.

SIC’s concrete mixing plants represents the first link of a chain. SIC truck mixers take the concrete to the site. SIC concrete pumps make concrete alive, creating residential properties, tunnels, football stadiums or skyscrapers. The recycling of residual concreter guarantees a perfect use of concrete and environmental protection.

Brief description of SIC’s Main Product Line:

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SIC’s product range as already indicated else where, caters to the

equipment requirement mixing transporting and applying ready mix concrete at the project sites. The equipment manufactured by SIC with brief description are described below in the same order of the process.

Batching Plants- Mixing Of Ready Mix Concrete (RMC )

These plants in variant capacities are usually located within 100 km distance of the application sites, for mixing the RMC. The plant is manually controlled by a control panel, which software oriented, where the specification of the mixer can be fed and the plant will draw the raw materials in appropriate quantities for delivering the specified mixer specification. The micro control apparatus is entirely software driven.

Functions Performed by SIC: The whole process of manufacture is carried out by SIC at its facility using the technology provided by the AE. Important functions that need to be mentioned in this context are:

Raw Material Sourcing:

This consists of identification of sources of raw materials that are required for the purpose of manufacturing of concrete mixers pumps evaluating the competence and ability to deliver, placing through a process of venture evaluation placing of orders, quality inspection on receipt and organsing for contingency plans given the market environment in India.

The manufacturing process demand engineering skills and SIC carry out the function of recruiting, training, rewarding and retaining the relevant technical skills required for the manufacturing of the products.

Needless to say all support functions like accounting, human resources management are also within the province of SIC.

Functions relating to protection of assets through insurance are also carried out by SIC.

Market development assessment of market requirements ascertainment of demands and sales as per requirements of the Indian market and assumption of credit risks associated with the sales.

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The function of operation to ensure availability of funds for procurement, process, cost, and personnel cost and sales and delivery cost is also carried out by the AE.

Warranty servicing of sales is also within the domain of SIC.

Taking care of all functions relating to managing and complying with the Indian laws and regulation connected with pollution control, labor and industrial legislations in carrying out its functions.

2.3 REVIEW OF LITERATURE:

In 1972, five systems analysts began working nights and weekends

to create standard software with real-time data processing. Twenty-five years later their

vision is a reality: SAP is the world’s market and technology leader in business

application software.

On April 1, 1972 five former IBM employees founded SAP as

System analyzes und Programment wicklung (“Systems Analysis and Program

Development”) in Mannheim, Germany. Their vision was to develop and market standard

enterprise software which would integrate all business processes. The idea came to them

through their work as systems consultants for IBM when they noticed that client after

client was developing the same, or very similar, computer programs. The second part of

their vision was that data should be processed interactively in real-time, and the computer

screen should become the focal point of data processing.

From a start-up software vendor to global market leader

over the course of twenty-five years, their vision has transformed SAP from a small

regional enterprise into a world-class international company. Today, the SAP Group is

the global market leader in enterprise resource planning software, and has subsidiaries,

affiliates and branch offices in nearly every industrial nation in the world. Important

milestones in the company's corporate history include its conversion to a GmbH (a

closely-held corporation) in 1977, the opening of the company's headquarters in

Walldorf, and its conversion into a publicly-held corporation whose shares are listed on

several stock markets.

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By changing its structure to a publicly-held corporation, SAP

significantly strengthened its capital base and laid the foundations for its employees to

enjoy more of a share in the company's success. In the end, it is SAP’s employees –

currently more than 9,000 of them - whose know-how, motivation and performance have

nurtured the company’s progress. And it is their commitment and innovative drive which

will pace the company’s future success and keep it ahead of the competition.

Over one million R/3 users .Products have played the central role

in SAP’s success story. In this area, two milestones stand out: first, the development and

1979 market release of the R/2 software system for mainframes, and, second, the R/3

client/server software system introduced in 1992. Since its debut, the R/3 System use has

grown explosively and now accounts for the lion's share of SAP product sales. At

present, more than one million end users around the world work with the R/3 System.

The development of SAP products has continually benefited from

major advances in the hardware sector. Back in 1972, the limited storage capacity of

computers posed one of the biggest challenges. In those days, mainframes only had 500

kilobytes of storage capacity. Slow data input and output meant that only partial

applications with a limited data volume were feasible. It was against this technological

background that SAP signed its first customer, the German ICI subsidiary in stringer.

With the successful implementation of its initial project, SAP had

nine employees and, at the end of its first fiscal year, posted a profit on revenues of DM

620,000. In the second year of operation, two local businesses – the tobacco and cigarette

manufacturer Roth-Handle and the pharmaceutical company Knoll - selected the newly

developed SAP Financial Accounting (RF) System. This system quickly earned a

reputation as an excellent standard package and installations expanded to 40 customers.

But product development did not slow on this success, and a second standard product, the

Materials Management (RM) System, with modules for purchasing, inventory

management and invoice verification, soon followed. The benefits of SAP's integration

philosophy showed through, with data from Materials Management flowing straight into

Financial Accounting.

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SAP moves to Walldorf. In its fifth year of operations, SAP became

a GmbH (a closely-held corporation) and took on a new name: System, Anwendungen,

Product in deer Datenverarbeitung ("Systems, Applications, Products in Data

Processing"). Revenues were now close to DM 4 million, and the number of employees

had grown to 25. In 1977, SAP moved its offices and headquarters to Walldorf.

In the same year, it signed its first two foreign customers, two companies from

Austria. Just one year later, the customer base had grown to 100 and the number of

employees stood at 50. SAP had also introduced another central module of the SAP

System – Asset Accounting (RA). At the same time, through the development of a French

version of the accounting module, SAP made additional steps toward the international

markets.

By the end of the 1970s, new generations of powerful computers

provided the framework for a comprehensive software system, and a major step in the

development of SAP software - the R/2 System – was taken in 1978. In the same year, as

sales headed toward the DM 10 million milestones, SAP began operation of its own

computer center in Walldorf which, when completed in 1980, united development teams

under one roof. That year SAP’s software became even more attractive with the addition

of order history to the product range. At the end of 1980, 50 of the 100 largest industrial

companies in Germany were SAP customers.

R/2 System goes international SAP’s close relationships with

customers led to continuous enhancements in the existing program modules, while

important new additions were made, such as the Cost Accounting (RK) System. The R/2

System was now ready for the international market. New computers with drastically

improved price/performance ratios helped expand the customer base, and SAP raised its

profile still further by appearing at the Systems trade fair in Munich - the company's first-

ever presence at an industry trade show.

In 1982, SAP celebrated its tenth anniversary, with sales soaring

48% to over DM 24 million. By the end of the year, 236 companies in Germany, Austria

24

and Switzerland were working with the SAP standard programs. Sales continued to climb

in the following year, increasing by 45%.

In 1984 SAP took additional steps into the international arena with

the founding of SAP (International) AG in Switzerland, whose focus was to increase

sales of the R/2 System in international markets.

Development teams began work on two new applications,

Personnel Management and Plant Maintenance, while the Production Planning and

Control System was installed at its first pilot customers. 1985 was characterized by

further expansion. The Walldorf headquarters had grown to 10,000 square meters of

space, while at the Swiss subsidiary a new headquarters was occupied. SAP systems were

now in use in most European countries, and SAP began to penetrate markets outside

Europe - with customers in South Africa, Kuwait, Trinidad, Canada and the US.

The DM 100 million sales mark exceeded SAP continued to

pursue international growth with the founding in 1986 of SAP’s Austrian subsidiary SAP

Österreich Ges.m.b.H. in Vienna. At the parent company, SAP GmbH, the capital stock

was increased from DM 500,000 to DM 5 million. The largest single hardware

investment to date was made in Walldorf with the installation of an IBM mainframe

costing DM 7 million. The year's sales topped DM 100 million, and SAP exhibited at

CeBIT, the world's largest IT trade fair, for the first time.

The 15th year of the company's history was again characterized by

powerful growth. Branch offices were opened in Munich and Hamburg, and subsidiaries

established in four European countries - the Netherlands, France, Spain and the UK. Staff

grew to 750, and sales more than doubled to DM 245 million, with 850 companies now

using SAP's software systems. In 1987, SAP announced its strategy for a new generation

of software, and the R/3 System was born.

SAP goes public SAP continued to grow in 1988 with the

international sales network strengthened by the establishment of subsidiaries in Denmark,

Sweden, Italy and the US. Other events included: the founding of SAP Consulting GmbH

25

as a joint project between SAP and the consulting firm Arthur Andersen; the opening of

an International Training Center in Walldorf; and the welcoming of Dow Chemical as

SAP’s 1,000th customer. However, the most significant events of the year were the

increase of SAP’s capital stock from DM 5 million to DM 60 million, the subsequent

conversion of SAP GmbH into a stock corporation, SAP AG

During the next year, 1989, SAP shares began trading on the Zurich stock exchange.

SAP expanded its alliance and strategic cooperation approaches by

taking a majority investment in TOS GmbH in Freiberg. Through the "International User

Conference" in Lausanne, Switzerland, and the first "SAPPHIRE" user conference in

North America, SAP demonstrated its solid commitment to direct international customer

contact. This crucial commitment was to become more and more important to SAP’s

success in the coming years.

Over 1,000 employees SAP (International) soon grew to twelve

subsidiaries, including Canada, Singapore and Australia. SAP's growing profile in 1989

was evidenced by a number of events: the large number of participants attending the first

Annual Stockholders' Meeting, the strong employee growth to more than 1,000, and the

expansion of the customer base. Recognizing this success manager magazin named SAP

"Company of the Year" – a distinction SAP would receive twice more in the next few

years.

In 1990, SAP's capital stock was expanded to DM 85 million with

the issue of preference shares. SAP strengthened its commitment to small- and medium-

sized businesses by an investment in the software company Steeb and the acquisition of

software vendor CAS. In the same year, SAP and Siemens Nixdorf founded SRS GmbH

in Dresden, gaining a firm foothold in the East German market. Sales grew strongly to

over DM 500 million, and the number of staff grew to 1,700.

SAP develops Russian R/2 version Strong growth continued

unabated in 1991. The acquisition of Steeb GmbH was completed and its activities were

merged with CAS to form STEEB-CAS GmbH, creating a high-caliber software

26

company with an attractive product offering for the small- and medium-sized company

market. With SAP’s Eastern European business developing quickly, SAP collaborated

with a local Russian software company to develop an R/2 version in Russian. The first

Japanese installation of SAP software was successfully completed. At the end of the

fiscal year, the SAP Group boasted 2,225 customers in 31 countries and

sales of more than DM 700 million – an increase of over 40 percent. The company had

more than 2,500 employees.

In its twentieth year, SAP opened a new Development and Sales

Center in Walldorf. The two-year project cost roughly DM 140 million and represented

the company's largest single investment to date. In preparation for additional

development, SAP’s share capital was expanded by DM 15 million to DM 100 million

through the issue of 300,000 preference shares. SAP was now firmly established as a

global company, with South Africa, Malaysia and Japan the newest additions to its 15

subsidiary companies. By 1992, almost half of the DM 831 million in product revenues

were being generated outside Germany, and the availability of the software in 14

different languages was adding significantly to its attractiveness.

Shipment of the client/server system R/3 With the R/3 System

release in mid-1992, SAP began to penetrate the mid-size market, and into branches and

subsidiaries of large companies. The release of the R/3 client/server system was the most

significant event in SAP’s history and started a record of growth that even SAP’s most

optimistic planners had not predicted.

SAP took top position among German software vendors in 1993.

On an international scale, the company moved to 7th place among software companies,

establishing a clear lead in the global business applications software market. Sales

surpassed the important DM 1 billion mark for the first time in 1993, and the global

customer base stood at 3,500 companies. SAP made an investment in iXOS Software

GmbH with the aim of developing and marketing graphical user interfaces and optical

archiving of documents.

27

New development center in Foster City, California Releases 2.0 and 2.1 provided R/3

users with even more functionality. With the R/3 System already running on six hardware

platforms, SAP and Microsoft signed an agreement to port R/3 to Windows NT. Other

events included: the founding of SAP’s 18th subsidiary in the Czech Republic, the

establishment by SAP America of a development center in Foster City in Silicon Valley,

California, and the introduction by SAP Japan of a Kanji version of R/3.

1994 was yet another record-breaking year with sales jumping 66% to

over DM 1.8 billion. By the end of the year, SAP employed more than 5,000 staff

worldwide, and 200 of the more than 4,000 customers were using the R/3 System in

production operation. A Swiss customer was the first customer to go live with R/3 on

Microsoft’s Windows NT – a mere four months after the platform became available.

Since its rollout in 1992, R/3 had now been installed more than 1,000 times. SAP

development received ISO 9000 certification, and R/3 Release 2.2 was completed on

schedule and included a wide range of enhancements in Logistics. SAP continued to

expand its sales organization and strategic alliances. In Germany, SAP acquired a 52%

stake in DACOS Software GmbH with the aim of developing an integrated software

solution for the retail industry. The 19th subsidiary opened in Mexico City.

The Annual Stockholders' Meeting agreed to a DM 400 million capital

increase out of retained earnings, bringing total capital to DM 500 million. The resulting

1:4 stock split was positively received by the market and led to a significant increase in

stock price levels. Microsoft chooses R/3 more than 6,000 companies of all sizes were

among SAP customers in 1995, some two-thirds of which solved their IT tasks using the

R/3 System. During the year Microsoft joined IBM as an R/3 customer from the high-

tech sector.

In 1995, R/3 became the largest source of overall revenues, with a DM

1.7 billion share of total sales of DM 2.7 billion. Growth prospects were strengthened still

further with the new R/3 Release 3.0, a functional and technical milestone in R/3

development. With this version the important areas of production planning and control

28

were now comprehensively covered. Another technical addition was the availability of

R/3 on the widely used IBM AS/400 platform.

CHAPTER III

DATA ANALYSIS & INTERPRETATION

29

3.1 DATA ANALYSIS AND INTERPRETATION

Table 1 DISTRIBUTION OF RESPONDENTS BASED ON THE GENDER

S No Particulars Respondents Percent

1 Male 177 69

2 Female 73 31

3 Total 250 100

Sources: Data collected from respondents

INTERPRETATION:

Table 1 shows the distribution of employees based on the gender. From the above table it

is inferred that 69% belong to the male category, 31% belong to the female category.

Chart 1 DISTRIBUTION OF RESPONDENTS BASED ON THE GENDER

30

Table 2 DISTRIBUTION OF RESPONDENTS BASED ON THEIR AGE


1 Below 20 57 23

2 21-35 131 52

3 36-45 47 19

4 46-65 15 6

5 Total 250 100


INTERPRETATION :

Table 2 shows that distribution of respondents based on the age wise classification From

the above table 23% belong to the below20years, 52%belong to the21-35 years,19%

belong to the 36-45years, 6% belong to the 46-65years.

Chart 2 DISTRIBUTION OF RESPONDENTS BASED ON THEIR AGE

Frequency

0

20

40

60

80

100

120

140

below20 21-35 36-45 46-65

Frequency

31

Table 3 DISTRIBUTION OF RESPONDENTS BASED ON THEIR SOFTWARE USAGE


1 SAP 214 85

2 TALLY 29 12

3 FOXPRO5

2

4 MANUALLY 2 1

5 Total 250 100


INTERPRETATION:

Table 3 shows that distribution of respondents based the SOFTWARE USAGE From the

above Table 85% belong to the SAP 12%belong to the tally, 2% belong to the FoxPro,

1% belong to the manually.

Chart 3 DISTRIBUTION OF RESPONDENTS BASED ON THEIR SOFTWARE USAGE

0 100 200 300

SAP

TALLY

FOXPRO

MANUALLY

Frequency

Frequency

32

Table 4 DISTRIBUTION OF RESPONDENTS BASED ON THEIR EXPERIENCE


1 Below 1Yr 94 38

2 1-2 Years 111 44

3 2-4 Years 24 10

4 > 4 Years 21 8

5 Total 250 100


INTERPRETATION:

Table 4 shows that distribution of respondents based on their experience. From the above

table 38% belong to the below one year, 44% belong to the 1-2years, 10% belong to the

2-4 years, 8% belong to the more than 4 years.

Chart 4 DISTRIBUTION OF RESPONDENTS BASED ON THEIR EXPERIENCE

0 50 100 150

BELOW1YEAR

1-2YEAR

2-4YEAR

MORETHAN4 YEARS

Frequency

Frequency

33

Table 5 DISTRIBUTION OF RESPONDENTS BASED ON THEIR REQURIMENTS FULLFILLD

S.No Particulars Respondents Percent

1 EXCELLENT 44 17

2 GOOD 139 55

3 O.K 64 26

4 NOT GOOD 3 2

5 TOTAL 250 100


INTERPRETATION:

Table 5 shows that distribution of respondents based the requirement fulfilled. From the

above chart 17% belong to the Excellent, 55% belong to the Good, 26% belong to the

O.K, 2% belong to the Not good.

Chart 5 DISTRIBUTION OF RESPONDENTS BASED ON THEIR REQURIMENTS FULLFILLD

Frequency

EXCELLENT

GOOD

O.K

NOT GOOD

34

Table 6 DISTRIBUTION OF RESPONDENTS BASED ON THE TIME EFFICIENT


1 FASTER 86 34

2 MODERATE 27 51

3 SLOW 37 15

4 Total 250 100


INTERPRETATION:

Table 6 shows that distribution of respondents based on the Time efficient. From the

above table 34% belong to the Faster, 51% belong to the Moderate, 15% belong to the

Slow.

Chart 6 DISTRIBUTION OF RESPONDENTS BASED ON THE TIME EFFICIENT

EFFICIENT

0

20

40

60

80

100

120

140

Frequency

Frequency 86 127 37

FASTER MODERATE SLOW

35

Table 7 DISTRIBUTION OF RESPONDENTS BASED ON THE COST OF SAP


INTERPRETATION :

Table 7 shows that distribution of respondents based on the Cost factor. From the above

table 48% belong to the High costly,31% belong to the Affordable, 21% belong to the

Economical,

Chart 7 DISTRIBUTION OF RESPONDENTS BASED ON THE COST OF SAP

36


1 HIGH COSTLY 120 48

2 AFFORDABLE 78 31

3 ECONOMICAL 52 21

4 Total 250 100

Table 8 DISTRIBUTION OF RESPONDENTS BASED ON THE CONFIDENTIALITY


1 EXCELLENT 53 21

2 GOOD 153 61

3 O.K 40 16

4 NOT FAVOUR 4 2

5 Total 250 100


INTERPRETATION:

Table 8 shows that distribution of respondents based on confidentiality. From the above

chart 21% belong to the Excellent, 61% belong to Good, 16% belong to the ok, 2%

belong to the Not favour.

Chart 8 DISTRIBUTION OF RESPONDENTS BASED ON THE CONFIDENTIALITY

Frequency

0% 50% 100%

HIGH C

OSTLYAFFORDABLEECONOM

ICAL

Frequency

37

Frequency

EXCELLENT

GOOD

O.K

NOT FAVOUR

Table 9 DISTRIBUTION OF RESPONDENTS BASED ON THE QUALITY OF SERVICE


INTERPRETATION :

Table 9 shows that distribution of respondents based on the Quality service. From the

above table 22% belong to the Excellent, 59%belong to the Good, 19% belong to the OK.

Chart 9 DISTRIBUTION OF RESPONDENTS BASED ON THE QUALITY OF SERVICE


1 EXCELLENT 54 222 GOOD 148 593 O.K 48 194 Total 250 100

38

EX

CE

LLE

NT

GO

OD

O.K

Frequency0

50

100

150

Frequency

Frequency

Table 10 DISTRIBUTION OF RESPONDENTS BASED ON THE DATA LOSSAGE


1 YES 67 27

2 NO 128 51

3IN SOME OCCASION

ONLY55 22

Total 250 100Sources: Data collected from respondents

INTERPRETATION :

Table 10 shows that distribution of respondents based on the Data lossage. From the

above table 27% belong to the Yes, 51% belong to the No, 22% belong to

the some occasion only.

39

Chart 10 DISTRIBUTION OF RESPONDENTS BASED ON THE DATA LOSSAGE

YE

S

NO

IN S

OM

EO

CC

AS

ION

ON

LYFrequency

020406080

100120140

Frequency

Frequency

Table 11 DISTRIBUTION OF RESPONDENTS BASED ON THEIR TRAINING


INTERPRETATION: Table 11 shows that distribution of respondents based on the training from the above

table 53% belong to the Yes, 47% belong to the No.

Chart 11 DISTRIBUTION OF RESPONDENTS BASED ON THEIR TRAINING


1 YES 131 53

2 NO 119 47

3 Total 250 100

40

112114116118120122124126128130132

YES NO

Frequency

Frequency

Table 12 DISTRIBUTION OF RESPONDENTS BASED ON THE DURATION OF TRAINING


INTERPRETATION:

Table 12 shows that distribution of respondents based on training. From the above table

33% belong to the Yes and 67% belong to the No.

Chart 12 DISTRIBUTION OF RESPONDENTS BASED ON THE DURATION OF TRAINING


1 YES 82 33

2 NO 168 67

Total 250 100

41

0 50 100 150 200

YES

NO

Frequency

Frequency

Table 13 DISTRIBUTION OF RESPONDENTS BASED ON THE TRAINING EXPECTATION


INTERPRETATION:

Table 13 shows that distribution of respondents based on the training expectation. From

the above table 27% belong to the one month, 60% belong to the 2-3 month, 13% belong

to the 3-4 month.

Chart 13 DISTRIBUTION OF RESPONDENTS BASED ON THE TRAINING EXPECTATION

S.NoParticulars

Respondents Percent

1 1MONTH 67 272 2-3MONTH 151 603 3-4MONTH 32 13

Total 250 100

42

Table 14 DISTRIBUTION OF RESPONDENTS BASED ON THE ADDITIONAL TRAINING


INTERPRETATION:

Table 14 shows that distribution of respondents based on additional training. From the

above table 60% belong to the Yes and 40% belong to the No.

Chart 14 DISTRIBUTION OF RESPONDENTS BASED ON THE ADDITIONAL TRAINING


1 YES 150 60

2 NO 100 40

Total 250 100

43

Table 15 DISTRIBUTION OF RESPONDENTS BASED ON THE EMERGING TECHNOLOGY


1 YES 163 65

2 NO 87 35

3 Total 250 100


INTERPRETATION:

Table 15 shows that distribution of respondents based on emerging technology. From

the above table 65% belong to the Yes and 35% belong to the No.

Frequency

YES

NO

44

Chart 15 DISTRIBUTION OF RESPONDENTS BASED ON THE EMERGING TECHNOLOGY

Table 16 DISTRIBUTION OF RESPONDENTS BASED ON THE CO-ORDINATION


1 YES 177 70

2 NO 73 30

3 Total 250 100


INTERPRETATION:

Table 16 shows that distribution of respondents based on the co-ordination. From the


Chart 16 DISTRIBUTION OF RESPONDENTS BASED ON THE CO-ORDINATION

45

Table 17 DISTRIBUTION OF RESPONDENTS BASED ON THE TECHNOLOGY DRIVEN


INTERPRETATION:

Table 17 shows that distribution of respondents based on technology driven. From the

above chart 60% belong to the Yes, and 40% belong to the No.

Chart 17 DISTRIBUTION OF RESPONDENTS BASED ON THE TECHNOLOGY DRIVEN


1 YES 177 60

2 NO 73 40

3 Total 250 100

46

Table 18 DISTRIBUTION OF RESPONDENTS BASED ON THE COMPLETE PACKAGE


1 YES 176 70

2 NO 74 30

3Total 250 100


INTERPRETATION:

Table 18 shows that distribution of respondents based on the complete package. From

the above table 70% belong to the Yes, and 30% belong to the No.

Chart 18 DISTRIBUTION OF RESPONDENTS BASED ON THE COMPLETE PACKAGE

47

Table 19 DISTRIBUTION OF RESPONDENTS BASED ON THE SATISFICATION LEVEL


1 YES 156 62

2 NO 94 38

3 Total 250 100


INTERPRETATION:

Table 19 shows that distribution of respondents based on satisfaction level. From the


Chart 19 DISTRIBUTION OF RESPONDENTS BASED ON THE SATISFICATION LEVEL

48

Table 20 DISTRIBUTION OF RESPONDENTS BASED ON THE USAGE OF SAP


1 EXHAUSTIVELY 74 29

2 MODERATE 155 61

3 MINIMUM 19 10

4 Total 248 100


INTERPRETATION:

Table 20 shows that distribution of respondents based on usage of sap. From the above

table 29% belong to the Exhaustively, 61% belong to the Moderate, 10% belong to the

Minimum.

Chart 20 DISTRIBUTION OF RESPONDENTS BASED ON THE USAGE OF SAP

49

3.2 STATISTICAL TOOLS FOR ANALYSIS

CORRELATIONS

Ho: There is no significant difference between the time efficient and

implementation cost.

H1: There is significant difference between the time efficient and implementation

cost...

Correlations

TIME EFFICIENTIMPLEMENTATION

COST

TIME EFFICIENT

Pearson Correlation

1.000 .384**

Sig. (2-tailed) .000

N 250.000 250

IMPLEMENTATION COST

Pearson Correlation

.384** 1.000

Sig. (2-tailed) .000

N 250 250.000

*** Correlation is significant at the 0.01 level (2-tailed)

50

RESULT:

Ho is accepted. Significant level is (.000).

CHI-SQUARE TEST

Ho: There is no significant difference between the confidentiality and quality.

H1: There is significant difference between the time confidentiality and quality.

Frequencies

Confidentiality

Observed N Expected N Residual

EXCELLENT 53 62.5 -9.5

GOOD 153 62.5 90.5

O.K 40 62.5 -22.5

NOT FAVOUR 4 62.5 -58.5

Total 250

51

Quality

Observed N Expected N Residual

EXCELLENT 54 83.3 -29.3

GOOD 148 83.3 64.7

O.K 48 83.3 -35.3

Total 250

Test Statistics

Confidentiality Quality

Chi-Square195.344a 75.488b

df3 2

Asymp. Sig..000 .000

A) 0 cells (.0%) have expected frequencies less than 5. The minimum expected cell frequency is 62.5.

B). 0 cells (.0%) have expected frequencies less than 5. The minimum expected cell frequency is 83.3.

52

RESULT:


SAMPLE KOLMOGOROV-SMIRNOV TEST

Ho: There is no significant difference between the sap usage and fulfilled.

H1: There is significant difference between the sap usage and fulfilled.

One-Sample Kolmogorov-Smirnov Test

SAPUSAGE FULLFILLED

N 250 250

Normal Parameters Mean 1.8880 2.1040

Std. Deviation

.89367 .68634

Most Extreme Differences Absolute .270 .292

Positive .270 .292

Negative -.174 -.264

Kolmogorov-Smirnov Z 4.271 4.620

Asymp. Sig. (2-tailed) .000 .000

53

RESULT


ONE-WAY

Ho: There is no significant difference between the sap usage and fulfilled.

H1: There is significant difference between the sap usage and fulfilled.

ANOVA

TECHNOLOGY DRIVEN

Sum of Squares df Mean Square F Sig.

Between Groups 1.141 3 .380 1.537 .206

Within Groups 60.895 246 .248

Total 62.036 249

RESULT

54

Ho is not accepted. Significant level is (.206).

PAIRED SAMPLES STATISTICS

Ho: There is no significant difference between the coordination and emerging

technology.

H1: There is significant difference between the coordination and emerging

technology.

Paired Samples Statistics

Mean N Std. Deviation Std. Error Mean

Pair 1 COORDINATION 1.2920 250 .45559 .02881

EMERGING TECHNOLOGY

1.4320 250 1.06297 .06723

Paired Samples Correlations

N Correlation Sig.

Pair 1COORDINATION & EMERGING

TECHNOLOGY250 -.029 .644

55

Paired Samples Test

Paired Differences

MeanStd.

DeviationStd. Error

Mean

95% Confidence Interval of the

Difference t dfSig. (2-

tailed)Lower Upper

Pair 1

COORDINATION - EMERGING TECHNOLOGY

-.14000 1.16870 .07392 -.28558 .00558-

1.894E0

249 .059

RESULT :

95% Confidence interval of the difference (lower -.285) & (upper .005)

Ho is accepted.

56

CHAPTER IV

FINDINGS & CONCLUSION

57

4.1 FINDINGS

The Findings of the study are

From the data analysis it is inferred that 70% belong to the male category, 30% of the respondents belong to the female category.

From the data analysis it is inferred that 23% belong to the below 20years category, 52% of the respondents belong to the 21-35 category, 19% belong to the 36-45 category, 6% belong to the 46-65 category.

From the data analysis it is inferred that 85% belong to the Sap category, 12% of the respondents belong to the tally category and 2% belong to the manually.

From the data analysis it is inferred that 37% belong to the below one year, 44% belong to the 1-2 years, 10% belong to the 2-4 years 9% belong to the more than 4 years.

From the data analysis it is inferred that 17% belong to the excellent category, 55% belong to the good, 26% belong to the o.k., 2% belong to the not good.

From the data analysis it is inferred that 34% belong to the faster category, 51% belong to the moderate, and 15% belong to the slow.

From the data analysis it is inferred that 48% belong to the high costly category, 31% belong to the affordable, and 21% belong to the economical.

From the data analysis it is inferred that 21% belong to the excellent category, 31% belong to the good, 16% belong to the o.k., 2% belong to the nof favour

From the data analysis it is inferred that 22% belong to the excellent category, 59% belong to the good, and 19% belong to the o.k.

From the data analysis it is inferred that 27% belong to the yes category, 59% belong to the no, and 22% belong to the some occasion only.

From the data analysis it is inferred that 52% belong to the yes category, 48% belong to the no.

From the data analysis it is inferred that 33% belong to the yes category, 67% belong to the no, and 22% belong to the some occasion only.

58

From the data analysis it is inferred that 27% belong to the one year category, 60% belong to the 2-3, and 13% belong to the 3-4.

From the data analysis it is inferred that 60% belong to the yes category, 40% belong to the no.

From the data analysis it is inferred that 65% belong to the yes category, 35% belong to the no






From the data analysis it is inferred that 29% belong to the exhaustively category, 29% belong to the moderate category, 8% belong to the minimum category.

59

4.2 SUGGESTIONS:

Suggestions based on the study are:

The organization can take some measures to improve the career

development of the employees in using the SAP applications more

effectively in the organization.

Company should provide additional training program in SAP applications

to improve the organization standards.

The quality of SAP service provider and day to day operation should

improve.

The company must give the additional training on any changes, updation,

upgradation with regards to SAP

The company should reduce the cost for implementation of SAP to lower

level.

The company should provide awareness of SAP for all employees.

The company must adopt new technologies to increase the Knowledge

there by it can increase the effectiveness of the employees.

60

4.3 CONCLUSION

In SIC all the departments are using SAP. But implementation and

testing works are made by Germany. By using SAP in SIC all employees are

satisfied .From the study it is known that employees at SIC are happy with

implementation of sap and they are working efficiently and effectively by saving.

Thus implementation of sap has improved the satisfaction level of employees.

61

BIBLIOGRAPHY

Joghnson CM. Implementation of SAP, 2nd Edn. Oxford University Publication: London,

pp 45–52.

Singaravelu CVK. Probability and Statistics, 3rd Edn. Amudham Publications: Chennai,

India, p. 228.

Kothari CR. Research Methodology, 2nd Edn. Newage Publication: New York, pp 128–

182.

Williams LK. Basic Concepts of SAP, 3rd Edn. Emerald Group Publication Limited:

Paris, France, p. 248.

Pannierselvam KV. Enterprise Resources Planning, 3rd Edn. Himalaya Publications:

New Delhi, India, pp 248–250.

Savkin AV, Petersen IR. Management Concepts and Statistical Analysis (USA) 1999; 44:

1037–1041

Rafaely B. Advanced concepts of Enterprise Resource Planning. PhD thesis, University

of Southampton, UK, 1997. http://adsabs.harvard.edu/abs/1997PhDT.......115R

Premount A. Vibration Control of Project Report. 2nd edn. Springer Verlag, 2002

Pal B, Chaudhuri B. Robust Systems Application Products in Data Processing. Springer

Verlag, 2005

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Optim (USA) 2007; 45: 2277–2298

62

Annexure I

THE EFFECTIVENESS OF SAP IMPLEMENTATION IN FINANCE DEPARTMENT WITH REFERENCE TO

SOUTH INDIAN CORPORATION

1) NAME: __________________

2) Designations : __________________

3) AGE: ___________________

4) GENDER: Male Female

5) Which Software package tool you are using in your finance department?a) SAP b) Tally c) FoxPro d) Manually

6) Since how long you are using SAP?a) Below 1year b) 1-2 years c) 2-4 years d) More than 4 years

7) Has SAP fulfilled your requirements with regard to formats of Accounts Receivables, Payables & other General ledgers?

a) Excellent b) Good c) O.K d) Not good

8) How Time efficient is SAP? a) Faster b) Moderate c) Slow

9) Your opinion on implementation cost of SAP? a) High costly b) Affordable c) Economical

10) SAP contribution in maintain confidentiality in finance department? a) Excellent b) Good c) Ok d) Not favour

11) How do you rate the quality of service by your SAP service provider? a) Excellent b) Good c) Ok d) Poor

12) Have you come across any data loss after the SAP being installed? a) Yes b) No C) In some Occasions only?

13) Does Company provide initial training on SAP to employees? a) Yes b) No

63

14) If yes, is the duration of training is sufficient? a) Yes b) No

15) If no, how many month do you expecting for such training?

a) 1 months b) 2-3 month c) 3-4 month d) more than4

16) Does the company is giving additional training on any changes, updation, Upgradation with regard to SAP?

a) Yes b) No

17) Will SAP hold well in the emerging technology? a) Yes b) No

18) In your Opinion, Is there proper co-ordination between finance department and other departments with regard to data processing?

a) Yes b) No

19) Is SAP Technology driven? a) Yes b) No

20) In your Opinion, Is SAP a Complete Package? a) Yes b) No

21) Are you satisfied with SAP in your department? a) Yes b) No

22) To what extent you are using SAP? a) Exhaustively b) Moderate c) Minimum

I SINCERELY THANK YOU FOR YOUR CO-OPERATION

T. Dinesh Babu, B.E., M.B.A.,

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dinesh babu thava 0702 mba2003 fsm final project report

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