SlideShare a Scribd company logo
1 of 15
Thesis Title: “Problems encountered in E-Banking in the Selected Banks in Quezon City:An Assessment” Submitted by:           BSBA- Banking and Finance  			(Student)                                                    Acaso, Maribeth                                                                                                                                                                                                                                                                                                                                                            Cabudoy, Eva   M.                      Monilla, Nordeliza M.                                     Naval, Arnel                           Submitted to: Dr. John Ortiz Teope
1.2 Conceptual Framework Conceptual framework discussed the flow of the study to be taken. The study used the system approach. The system of three (3) frames is composed of input which went through the process of operation and emerged as the output.
The input contains the leading variables regarding e-banking users. It includes the profile of the respondents such as age, gender, status and occupation. Also the self evaluation based on their perception about e-banking and the problems they encounter while doing e-bank. The second frame contains the method and procedures to be used to gather information and analyze those variables by making survey questionnaire, conducting unstructured interview, research, and the use of statistical tools.
The third frame is the output. It contains the arrived conclusions based on the results of survey and interview. It also contains the policy recommendations that the researchers suggested for precautionary measures to avoid such problems and the necessary actions to take if they encounter any problems while doing transactions in e-banking. The arrows include the workflow of information in the research process. The feedback loop connects the output to the process involved as well as to the input. It made the system continuous.
                        CHAPTER IIIResearch MethodologyThis chapter will discuss the design and procedures to be undertake in the conduct of our study. It presented the research design, population and sampling technique, respondent of the study, instruments used, and statistical treatment of data.
3.1 Research DesignThe research design of our study utilized the descriptive method which is designed of us to gather information about the present existing conditions needed in the chosen field of the study. We use a survey study to measure the existing problem.As used in this research, gathered and treated are data on bank customers profile such as age, gender, status, and occupation. The self-evaluation of respondents with regards to the problems they encounter while doing e-bank. We also have prepared an interview to the management of the bank in order us to have information regarding with the security measures they implemented to make sure that their clients transactions are safe and secure.
3.2 Population and Sampling TechniqueThe researchers select a few banks in Quezon City since it is dominated by small and medium entrepreneurs. The respondents covered in this research work are the bank customers and the top management of the bank such as BPI, Land Bank of the Philippines, and PSBank. A sample is made for the purpose of obtaining data for the research work. The sampling procedure is based on stratified random sampling. This procedure is used to select independent samples from a number of subpopulation, group or strata within the population.
3.3 Respondents of the StudyThe researchers will gather information from bank customers of selected banks in Quezon City. The population under consideration in this study includes every target and accessible bank customers of BPI (Bank of Philippine Islands), Land Bank of the Philippines, and PSBank.
3.4 Instruments UsedIn this study, the instruments to be use are questionnaires, which are necessity for descriptive method. The contents of the questionnaires were designed to collect relevant information needed for the research from respondents. Two (2) questionnaires were made; the first questionnaire contains questions for the bank customers (external environment) for the information needed, which divided into two parts. The first part concentrated on the profile of the respondents. The second part pertained to self-evaluation based on their perceptions about e-banking and the problems they encounter in e-banking. While the other was for the bank management (internal environment) for the information needed about their security measures that are being implemented, and how they attend clients complain regarding with the problems.
3.5 Statistical Treatment of DataThe data to be collected in this study will organize and classified based on the research design and the problems formulated. The data will be coded, tallied and tabulated to facilitate the presentation and interpretation of results using the following: 1. Frequency and PercentageThe percentage and frequency distributions will be used to classify the respondents according to personal background variables such as age, gender, status, occupation, and the estimated monthly income. The frequency also presents the actual response of the respondents to a specific question or item in the questionnaire.
On the other hand, the percentage of that item will be computed by dividing it with the sample total number of respondents who participates in the survey. The formula used in the application of this technique is:                                            %= (f/n) x 100                            Where:                                                      %= percentage                                            f= frequency                                           n= total sample
2. RankingThis is a descriptive measure to describe numerical data in addition to percentage. Ranking is used in the study for comparative purpose and for sharing the importance of items analyzed.3. Weighted MeanAnother statistical technique to be used is the weighted mean. It is use to determine the average responses of the different options provided in the various parts of the survey questionnaire used. The method is used in conjunction with the Likert Scale. It is solved by the formula:                                          X= ∑ fx / n                          Where:                                        X = weighted mean                                    ∑ fx = the sum of all the products of f and x, f  being the frequency of each weight and x as the weight of each operation                                         n= total number of respondents
4. Chi- squareIt is used to determine the significant differences between the perceptions of the respondents. The values of chi- square or a given distributions are computed by 4.1  Findings the difference in between each observed value and the corresponding expected value;4.2  Expressing the square of the differences as a fraction of the expected value; and4.3  Summing
Thus, the formula used for computing the chi- square values is presented below:=                           Where:        observed frequency     expected frequency
The computation for the degree of freedom is necessary in order to obtain the critical value (P). The formula is:                       df= (r-1)(k-1)Where:r = number of rowsk = number of columnsdf = degree of freedom HypothesisHo = there is no significant variation between the obtain/actual and expected frequenciesHa = There is a significant variation between the obtain/actual and expected frequenciesWhere:Ho = Stands for Null HypothesisHa = Stands for Alternative Hypothesis.

More Related Content

What's hot

Data Collection Methods
Data Collection MethodsData Collection Methods
Data Collection MethodsSOMASUNDARAM T
 
Data analysis
Data analysisData analysis
Data analysisneha147
 
1.1-1.2 Descriptive and Inferential Statistics
1.1-1.2 Descriptive and Inferential Statistics1.1-1.2 Descriptive and Inferential Statistics
1.1-1.2 Descriptive and Inferential Statisticsmlong24
 
Introduction to Statistics (Part -I)
Introduction to Statistics (Part -I)Introduction to Statistics (Part -I)
Introduction to Statistics (Part -I)YesAnalytics
 
Meaning and Importance of Statistics
Meaning and Importance of StatisticsMeaning and Importance of Statistics
Meaning and Importance of StatisticsFlipped Channel
 
Multivariate data analysis
Multivariate data analysisMultivariate data analysis
Multivariate data analysisSetia Pramana
 
Data mining for credit card fraud
Data mining for credit card fraudData mining for credit card fraud
Data mining for credit card frauddinesh budhathoki
 
Introduction to statistics 2013
Introduction to statistics 2013Introduction to statistics 2013
Introduction to statistics 2013Mohammad Ihmeidan
 
A Survey on Sentiment Analysis and Opinion Mining
A Survey on Sentiment Analysis and Opinion MiningA Survey on Sentiment Analysis and Opinion Mining
A Survey on Sentiment Analysis and Opinion MiningIJSRD
 
Sample and Sampling designs
Sample and Sampling designsSample and Sampling designs
Sample and Sampling designsVinay Teja
 
Chapter 1 introduction to statistics for engineers 1 (1)
Chapter 1 introduction to statistics for engineers 1 (1)Chapter 1 introduction to statistics for engineers 1 (1)
Chapter 1 introduction to statistics for engineers 1 (1)abfisho
 

What's hot (20)

Lessons learnt in statistics essay
Lessons learnt in statistics essayLessons learnt in statistics essay
Lessons learnt in statistics essay
 
Grade 7 Statistics
Grade 7 StatisticsGrade 7 Statistics
Grade 7 Statistics
 
Data Collection Methods
Data Collection MethodsData Collection Methods
Data Collection Methods
 
Statistics:Fundamentals Of Statistics
Statistics:Fundamentals Of StatisticsStatistics:Fundamentals Of Statistics
Statistics:Fundamentals Of Statistics
 
Unit 1 - Statistics (Part 1).pptx
Unit 1 - Statistics (Part 1).pptxUnit 1 - Statistics (Part 1).pptx
Unit 1 - Statistics (Part 1).pptx
 
Data analysis
Data analysisData analysis
Data analysis
 
1.1-1.2 Descriptive and Inferential Statistics
1.1-1.2 Descriptive and Inferential Statistics1.1-1.2 Descriptive and Inferential Statistics
1.1-1.2 Descriptive and Inferential Statistics
 
Introduction to Statistics (Part -I)
Introduction to Statistics (Part -I)Introduction to Statistics (Part -I)
Introduction to Statistics (Part -I)
 
Statistics
Statistics Statistics
Statistics
 
Meaning and Importance of Statistics
Meaning and Importance of StatisticsMeaning and Importance of Statistics
Meaning and Importance of Statistics
 
Multivariate data analysis
Multivariate data analysisMultivariate data analysis
Multivariate data analysis
 
statistics Lesson 1
statistics Lesson 1statistics Lesson 1
statistics Lesson 1
 
121 vhgfhg
121 vhgfhg121 vhgfhg
121 vhgfhg
 
Statistics and prob.
Statistics and prob.Statistics and prob.
Statistics and prob.
 
Data mining for credit card fraud
Data mining for credit card fraudData mining for credit card fraud
Data mining for credit card fraud
 
Introduction to statistics 2013
Introduction to statistics 2013Introduction to statistics 2013
Introduction to statistics 2013
 
A Survey on Sentiment Analysis and Opinion Mining
A Survey on Sentiment Analysis and Opinion MiningA Survey on Sentiment Analysis and Opinion Mining
A Survey on Sentiment Analysis and Opinion Mining
 
Sample and Sampling designs
Sample and Sampling designsSample and Sampling designs
Sample and Sampling designs
 
Statistic note
Statistic noteStatistic note
Statistic note
 
Chapter 1 introduction to statistics for engineers 1 (1)
Chapter 1 introduction to statistics for engineers 1 (1)Chapter 1 introduction to statistics for engineers 1 (1)
Chapter 1 introduction to statistics for engineers 1 (1)
 

Similar to problems encountered in e-banking in selected bank in Q.C

Pt2520 Unit 6 Data Mining Project
Pt2520 Unit 6 Data Mining ProjectPt2520 Unit 6 Data Mining Project
Pt2520 Unit 6 Data Mining ProjectJoyce Williams
 
practical reporting.pptx
practical reporting.pptxpractical reporting.pptx
practical reporting.pptxprimoboymante
 
Research Evaluation And Data Collection Methods
Research Evaluation And Data Collection MethodsResearch Evaluation And Data Collection Methods
Research Evaluation And Data Collection MethodsJessica Robles
 
1_Q2-PRACTICAL-RESEARCH.pptx
1_Q2-PRACTICAL-RESEARCH.pptx1_Q2-PRACTICAL-RESEARCH.pptx
1_Q2-PRACTICAL-RESEARCH.pptxGeraldRefil3
 
CHAPTER 15-HOW TO WRITE CHAPTER 3.pptx
CHAPTER 15-HOW TO WRITE CHAPTER 3.pptxCHAPTER 15-HOW TO WRITE CHAPTER 3.pptx
CHAPTER 15-HOW TO WRITE CHAPTER 3.pptxDonnaVallestero3
 
Week 1-2 -INTRODUCTION TO QUANTITATIVE RESEARCH.pptx
Week 1-2 -INTRODUCTION TO QUANTITATIVE RESEARCH.pptxWeek 1-2 -INTRODUCTION TO QUANTITATIVE RESEARCH.pptx
Week 1-2 -INTRODUCTION TO QUANTITATIVE RESEARCH.pptxChristineTorrepenida1
 
Reply to my peersBegin reviewing and replying to peer postings.docx
Reply to my peersBegin reviewing and replying to peer postings.docxReply to my peersBegin reviewing and replying to peer postings.docx
Reply to my peersBegin reviewing and replying to peer postings.docxchris293
 
Importance Of Management Research
Importance Of Management ResearchImportance Of Management Research
Importance Of Management ResearchBeth Hernandez
 
PR2-Q2-Module-1 (1).pdf
PR2-Q2-Module-1 (1).pdfPR2-Q2-Module-1 (1).pdf
PR2-Q2-Module-1 (1).pdfPedroGenosas
 
Week11-EvaluationMethods.ppt
Week11-EvaluationMethods.pptWeek11-EvaluationMethods.ppt
Week11-EvaluationMethods.pptKamranAli649587
 
Sampling And Non Random Sampling Techniques Essay
Sampling And Non Random Sampling Techniques EssaySampling And Non Random Sampling Techniques Essay
Sampling And Non Random Sampling Techniques EssayCheryl Brown
 
Surveys & Questionnaires
Surveys & QuestionnairesSurveys & Questionnaires
Surveys & Questionnairesnncygarcia
 

Similar to problems encountered in e-banking in selected bank in Q.C (20)

Pt2520 Unit 6 Data Mining Project
Pt2520 Unit 6 Data Mining ProjectPt2520 Unit 6 Data Mining Project
Pt2520 Unit 6 Data Mining Project
 
practical reporting.pptx
practical reporting.pptxpractical reporting.pptx
practical reporting.pptx
 
Research Evaluation And Data Collection Methods
Research Evaluation And Data Collection MethodsResearch Evaluation And Data Collection Methods
Research Evaluation And Data Collection Methods
 
2-nature.pptx
2-nature.pptx2-nature.pptx
2-nature.pptx
 
1_Q2-PRACTICAL-RESEARCH.pptx
1_Q2-PRACTICAL-RESEARCH.pptx1_Q2-PRACTICAL-RESEARCH.pptx
1_Q2-PRACTICAL-RESEARCH.pptx
 
Handouts-PR2-Week-1.docx
Handouts-PR2-Week-1.docxHandouts-PR2-Week-1.docx
Handouts-PR2-Week-1.docx
 
CHAPTER 15-HOW TO WRITE CHAPTER 3.pptx
CHAPTER 15-HOW TO WRITE CHAPTER 3.pptxCHAPTER 15-HOW TO WRITE CHAPTER 3.pptx
CHAPTER 15-HOW TO WRITE CHAPTER 3.pptx
 
Independent Study Guide
Independent Study GuideIndependent Study Guide
Independent Study Guide
 
Data Analysis
Data Analysis Data Analysis
Data Analysis
 
Week 1-2 -INTRODUCTION TO QUANTITATIVE RESEARCH.pptx
Week 1-2 -INTRODUCTION TO QUANTITATIVE RESEARCH.pptxWeek 1-2 -INTRODUCTION TO QUANTITATIVE RESEARCH.pptx
Week 1-2 -INTRODUCTION TO QUANTITATIVE RESEARCH.pptx
 
chapter 1.pptx
chapter 1.pptxchapter 1.pptx
chapter 1.pptx
 
Reply to my peersBegin reviewing and replying to peer postings.docx
Reply to my peersBegin reviewing and replying to peer postings.docxReply to my peersBegin reviewing and replying to peer postings.docx
Reply to my peersBegin reviewing and replying to peer postings.docx
 
Importance Of Management Research
Importance Of Management ResearchImportance Of Management Research
Importance Of Management Research
 
PR2-Q2-Module-1 (1).pdf
PR2-Q2-Module-1 (1).pdfPR2-Q2-Module-1 (1).pdf
PR2-Q2-Module-1 (1).pdf
 
Week11-EvaluationMethods.ppt
Week11-EvaluationMethods.pptWeek11-EvaluationMethods.ppt
Week11-EvaluationMethods.ppt
 
Sampling And Non Random Sampling Techniques Essay
Sampling And Non Random Sampling Techniques EssaySampling And Non Random Sampling Techniques Essay
Sampling And Non Random Sampling Techniques Essay
 
chap1.ppt
chap1.pptchap1.ppt
chap1.ppt
 
Presentation of BRM.pptx
Presentation of BRM.pptxPresentation of BRM.pptx
Presentation of BRM.pptx
 
Surveys & Questionnaires
Surveys & QuestionnairesSurveys & Questionnaires
Surveys & Questionnaires
 
Research methodology presentation
Research methodology presentationResearch methodology presentation
Research methodology presentation
 

problems encountered in e-banking in selected bank in Q.C

  • 1. Thesis Title: “Problems encountered in E-Banking in the Selected Banks in Quezon City:An Assessment” Submitted by: BSBA- Banking and Finance (Student) Acaso, Maribeth Cabudoy, Eva M. Monilla, Nordeliza M. Naval, Arnel Submitted to: Dr. John Ortiz Teope
  • 2. 1.2 Conceptual Framework Conceptual framework discussed the flow of the study to be taken. The study used the system approach. The system of three (3) frames is composed of input which went through the process of operation and emerged as the output.
  • 3. The input contains the leading variables regarding e-banking users. It includes the profile of the respondents such as age, gender, status and occupation. Also the self evaluation based on their perception about e-banking and the problems they encounter while doing e-bank. The second frame contains the method and procedures to be used to gather information and analyze those variables by making survey questionnaire, conducting unstructured interview, research, and the use of statistical tools.
  • 4. The third frame is the output. It contains the arrived conclusions based on the results of survey and interview. It also contains the policy recommendations that the researchers suggested for precautionary measures to avoid such problems and the necessary actions to take if they encounter any problems while doing transactions in e-banking. The arrows include the workflow of information in the research process. The feedback loop connects the output to the process involved as well as to the input. It made the system continuous.
  • 5. CHAPTER IIIResearch MethodologyThis chapter will discuss the design and procedures to be undertake in the conduct of our study. It presented the research design, population and sampling technique, respondent of the study, instruments used, and statistical treatment of data.
  • 6. 3.1 Research DesignThe research design of our study utilized the descriptive method which is designed of us to gather information about the present existing conditions needed in the chosen field of the study. We use a survey study to measure the existing problem.As used in this research, gathered and treated are data on bank customers profile such as age, gender, status, and occupation. The self-evaluation of respondents with regards to the problems they encounter while doing e-bank. We also have prepared an interview to the management of the bank in order us to have information regarding with the security measures they implemented to make sure that their clients transactions are safe and secure.
  • 7. 3.2 Population and Sampling TechniqueThe researchers select a few banks in Quezon City since it is dominated by small and medium entrepreneurs. The respondents covered in this research work are the bank customers and the top management of the bank such as BPI, Land Bank of the Philippines, and PSBank. A sample is made for the purpose of obtaining data for the research work. The sampling procedure is based on stratified random sampling. This procedure is used to select independent samples from a number of subpopulation, group or strata within the population.
  • 8. 3.3 Respondents of the StudyThe researchers will gather information from bank customers of selected banks in Quezon City. The population under consideration in this study includes every target and accessible bank customers of BPI (Bank of Philippine Islands), Land Bank of the Philippines, and PSBank.
  • 9. 3.4 Instruments UsedIn this study, the instruments to be use are questionnaires, which are necessity for descriptive method. The contents of the questionnaires were designed to collect relevant information needed for the research from respondents. Two (2) questionnaires were made; the first questionnaire contains questions for the bank customers (external environment) for the information needed, which divided into two parts. The first part concentrated on the profile of the respondents. The second part pertained to self-evaluation based on their perceptions about e-banking and the problems they encounter in e-banking. While the other was for the bank management (internal environment) for the information needed about their security measures that are being implemented, and how they attend clients complain regarding with the problems.
  • 10. 3.5 Statistical Treatment of DataThe data to be collected in this study will organize and classified based on the research design and the problems formulated. The data will be coded, tallied and tabulated to facilitate the presentation and interpretation of results using the following: 1. Frequency and PercentageThe percentage and frequency distributions will be used to classify the respondents according to personal background variables such as age, gender, status, occupation, and the estimated monthly income. The frequency also presents the actual response of the respondents to a specific question or item in the questionnaire.
  • 11. On the other hand, the percentage of that item will be computed by dividing it with the sample total number of respondents who participates in the survey. The formula used in the application of this technique is:  %= (f/n) x 100 Where: %= percentage f= frequency n= total sample
  • 12. 2. RankingThis is a descriptive measure to describe numerical data in addition to percentage. Ranking is used in the study for comparative purpose and for sharing the importance of items analyzed.3. Weighted MeanAnother statistical technique to be used is the weighted mean. It is use to determine the average responses of the different options provided in the various parts of the survey questionnaire used. The method is used in conjunction with the Likert Scale. It is solved by the formula:  X= ∑ fx / n  Where: X = weighted mean ∑ fx = the sum of all the products of f and x, f being the frequency of each weight and x as the weight of each operation n= total number of respondents
  • 13. 4. Chi- squareIt is used to determine the significant differences between the perceptions of the respondents. The values of chi- square or a given distributions are computed by 4.1 Findings the difference in between each observed value and the corresponding expected value;4.2 Expressing the square of the differences as a fraction of the expected value; and4.3 Summing
  • 14. Thus, the formula used for computing the chi- square values is presented below:= Where: observed frequency expected frequency
  • 15. The computation for the degree of freedom is necessary in order to obtain the critical value (P). The formula is:  df= (r-1)(k-1)Where:r = number of rowsk = number of columnsdf = degree of freedom HypothesisHo = there is no significant variation between the obtain/actual and expected frequenciesHa = There is a significant variation between the obtain/actual and expected frequenciesWhere:Ho = Stands for Null HypothesisHa = Stands for Alternative Hypothesis.