Graduation Project about Shipping Carriers Preferences on Port Selection: A Literature Review
THE IMPLEMENTATION OF SHARIAH COMPLIANCE IN LOGISTICS OPERATIONS AT JEDDAH ISLAMIC PORT, SAUDI ARABIA
MUHAMMAD SUBHAN ISHAK
BACHELOR OF SCIENCE
PORTS AND MARITIME TRANSPORTATION
KING ABDULAZIZ UNIVERSITY
2021
THE IMPLEMENTATION OF SHARIAH COMPLIANCE IN LOGISTICS OPERATIONS AT JEDDAH ISLAMIC PORT, SAUDI ARABIA
By
MOHAMMED SUBHAN ISHAK
A Project Paper Submitted to Faculty of Maritime Studies, King Abdulaziz University in partial fulfilment of the requirements for the degree of
Bachelor of Science (Ports and Maritime Transportation)
February 2021
I dedicated this graduation project report to
My beloved parents who are always in my heart
DECLARATION
“I hereby acknowledge responsibility for the accuracy of all opinion, technical comment, report the facts, data, diagram, illustrations and photographs that have been suggested in this graduation project. I am fully responsible for the material submitted has been reviewed from aspects of copyright and ownership rights. King Abdulaziz University is not responsible for accuracy of any comments, reports and technical information and other facts and against claims of copyright and ownership rights.”
_____________________
MOHAMMED SUBHAN ISHAK (818888)
Date: January 28, 2020
PERMISSION TO USE
In presenting this research paper in fulfillment of the requirements for the bachelor degree from the King Abdulaziz University, I agree that the University Library may take it freely available for inspection. I further agree that the permission for copying of this research in any manner, in whole or in part, for scholarly purposes may be granted by my supervisor or, in his absence, by the Dean of Faculty of Maritime Studies (FMS). It is understood that any copy or publication or use of this research paper or parts it for financial gain shall not be allowed without my written permission. It is also understood that due recognition should be addressed to King Abdulaziz University for any scholarly use which may be made of any material from my research paper.
Request for permission to copy or to make other use of materials in this research paper, in whole or in part, should be addressed to:
Dean of Faculty of Maritime Studies (FMS)
King Abdulaziz University
23712 Al Murjan
Jeddah, Kingdom of Saudi Arabia
ABSTRACT
The main objective of this research is to assess the implementation of shariah compliance in logistics practices by Jeddah Islamic Port in Saudi Arabia. The research investigates four shariah principles that need to be complied by the port operations namely principle one, two, three and four. Data were collected from 150 relevant port workers. Correlation and Multiple Regression were used to examine the relationship between independent variables and dependent variable. The results showed that there are positive relationships between the four principles and the implementation of halal logistics in the port. The result also showed the principle two is the most dominant factor in the implementation of halal logistics in the port.
Keywords : Port studies, halal logistics, shariah compliance, Jeddah port, Saudi Arabia
ABSTRACT (IN ARABIC)
الهدف الرئيسي من هذا البحث هو تقييم تنفيذ الامتثال للشريعة الإسلامية في الممارسات اللوجستية من قبل ميناء جدة الإسلامي في المملكة العربية السعودية. يبحث البحث في أربعة مبادئ شرعية يجب أن تلتزم بها عمليات الميناء وهي المبدأ الأول والثاني والثالث والرابع. تم جمع البيانات من 150 من عمال الميناء المعنيين. تم استخدام الارتباط والانحدار المتعدد لفحص العلاقة بين المتغيرات المستقلة والمتغير التابع. وأظهرت النتائج وجود علاقة إيجابية بين المبادئ الأربعة وتنفيذ لوجستيات الحلال في الميناء. كما أظهرت النتيجة أن المبدأ الثاني هو العامل الأكثر انتشارًا في تنفيذ اللوجستيات الحلال في الميناء.
الكلمات المفتاحية: دراسات الموانئ، اللوجستيات الحلال، الامتثال الشرعي، ميناء جدة، المملكة العربية السعودية
ACKNOWLEDGEMENT
I would like to take this opportunity to extend my deepest gratitude to my supervisor, Dr. XXXX, for his expert advice, guidance and support throughout the entire research project.
I appreciate the support from the respondents who have contributed significantly by participating in the study and answering questionnaires. Without the help and support that received from you all, I would never have completed this program.
Besides that, I would like to thank King Abdulaziz University (KAU) for giving me this great opportunity to achieve my educational goals throughout the duration of my study. In addition, a special thanks to my friends, Ahmed, Fares, Abdulrahman, and Abdulrahim to give me so impressive help throughout the duration of this research paper. My special thanks also go to a number of admin staff at the College of Maritime Studies (FMS) who helped me a lot since my first day at the college until my graduation.
Last but not least, I will present my deepest thanks and appreciation to my beloved family for their constant support, patient, and understanding throughout my life for continuous encouragement during the research. Your endless contributions are very much appreciated.
TABLE OF CONTENTS
PAGE
DEDICATION ii
DECLARATION iii
PERMISSION TO USE iv
ABSTRACT v
ABSTRCT (IN ARABIC) vi
ACKNOWLEDGEMENT vii
TABLE OF CONTENTS xi
LIST OF TABLES xii
LIST OF FIGURES xiii
LIST OF APPENDICES xiv
LIST OF ABBREVIATION xv
CHAPTER 1 – INTRODUCTION
1.1 Introduction 1
1.2 Background of the Study 1
1.3 Problem Statement 3
1.4 Scope of the Research 4
1.5 Research Question 5
1.6 Research Objective 6
1.7 Significant of the Study 6
1.8 Limitation of the Study 7
1.9 Operational Definition 7
1.10 Summary 8
CHAPTER 2 – LITERATURE REVIEWS
2.1 Chapter Introduction 9
2.2 Halal Phenomenon 9
2.2.1 Definition of Halal 10
2.2.2 Shariah Compliance 11
2.3 Halal logistics in Port Logistics 12
2.4 Principle one 13
2.5 Principle two 14
2.6 Principle three 14
2.7 Principle four 15
2.8 Theories of Port Operations 16
2.9 Specific Operations affecting Halal Logistics at Ports 17
2.9.1 Documentation 17
2.9.2 Warehousing and Storage 18
2.9.3 Cargo Handling 19
2.9.4 Control and Inspection 20
2.10 Theoretical of Framework 21
2.11 Hypothesis 22
2.12 Summary 22
CHAPTER 3 – METHODOLOGY
3.1 Introduction 23
3.2 Research Design 23
3.2.1 Type of Study 24
3.2.2 Unite of Analysis 24
3.3 Population and Sample 25
3.4 Instrumentation 25
3.4.1 Questionnaire Design 25
3.5 Data Collection Procedure 29
3.6 Pilot Study 29
3.7 Techniques of Data Analysis 30
3.7.1 Factor Analysis 31
3.7.2 Reliability Test 31
3.7.3 Descriptive Analysis 32 3.7.4 Correlation Analysis 32
3.7.5 Multiple Regression Analysis 33
3.8 Summary 33
CHAPTER 4 – DATA ANALYSIS & RESULT
4.1 Introduction 34
4.2 Response Rate 34
4.3 Respondents’ Demographics 35
4.4 Factor Analysis 35
4.4.1 Factor analysis for Independent Variables 37
4.4.1.1 Factor Analysis for Attitude 37
4.4.1.2 Factor Analysis for Subjective Norm 38
4.4.1.3 Factor Analysis for Perceived Behavioural Control 39
4.4.1.4 Factor Analysis for Brand Awareness 40
4.4.2 Factor Analysis for Dependent Variable 41
4.5 Reliability Analysis 42
4.6 Descriptive Statistics 43
4.6.1 Descriptive Statistics of variable 1 43
4.6.2 Descriptive Statistics of variable 2 44
4.6.3 Descriptive Statistics of variable 3 45
4.6.4 Descriptive Statistics of variable 4 46
4.7 The Impact between Independent Variables and Dependent 48 Variable
4.7.1 Bivariate Analysis 49
4.8 Multiple Regression Analysis 50
4.9 Discussion of the Results 52
CHAPTER 5 – CONCLUSION
5.1 Introduction 53
5.2 Overview of the Study 53
5.3 Results of the Study
5.3.1 Result 1 54
5.3.2 Result 2 55
5.3.3 Result 3 55
5.4 Implication 56
5.5 Limitations and Future Research Directions 57
5.6 Conclusion 58
REFERENCES 59
LIST OF TABLES
Table 3.1 Instruments for Attitude 27
Table 3.2 Pilot-Test Analysis Results 30
Table 4.1 Response Data and Rate 34
Table 4.2 Demographic Data of the Students 36
Table 4.3 Results of Factor Analysis for Attitude 38
Table 4.4 Results of Factor Analysis for Subjective Norm 39
Table 4.5 Results of Factor Analysis for Perceived Behavioural Control 40
Table 4.6 Results of Factor Analysis for Brand Awareness 41
Table 4.7 Results of Factor Analysis for Intention to Purchase 42
Table 4.8 The Cronbach’s Alpha Values 42
Table 4.9 Descriptive Statistics of Attitude 44
Table 4.10 Descriptive Statistics of Subjective Norm 45
Table 4.11 Descriptive Statistics of Perceived Behavioural Control 46
Table 4.12 Descriptive Statistics of Brand Awareness 47
Table 4.13 Descriptive Statistics of Intention to Purchase Halal 48 Logistics
Table 4.14 Pearson Correlation Coefficient between IV and DV 49
Table 4.15 Multiple Regression of Independent Variables and 50 Dependent Variable
Table 4.16 Multiple Regression Analysis between IV and DV 52
LIST OF FIGURES
Figure 2.1 Halal Logo of Saudi Arabia 11
Figure 2.2 Theory of Planned Behaviour 17
Figure 2.3 Framework of the Research 21
LIST OF APPENDICES
Appendix A: Sample of Questionnaire 64
Appendix B: The Result of Factor Analysis 69
Appendix C: The Result of Demographic Analysis 77
Appendix D: The Result of Reliability Analysis 80
Appendix E: The Result of Descriptive Analysis 83
Appendix F: The Result of Correlation Analysis 86
Appendix G: The Result of Multiple Regression Analysis 87
LIST OF ABBREVIATIONS
TPB Theory of Planned Behaviour
SN Subjective Norm
PBC Perceived Behavioural Control
BA Band Awareness
CHAPTER 1
INTRODUCTION
1.1 Introduction
According to International Telecommunication Union data (ITU, 2015), there was 3.2 billion internet users in the world by end 2015, representing 45 percent of the global population at that time was using internet. With the rapid expansion of internet in the past decade, the marketing environment all over the world has been influenced dramatically. One remarkable phenomenon is that internet and computer have been implemented in lots commercial activities, including advertising, selling service, product transaction etc. (Lin & Sun, 2009). According to the statistic (2016), giving information on e-retailing sales worldwide that it has amounted to 1.55 trillion US dollars in 2015 and in 2019, the revenues are projected to increase to 3.4 trillion US dollars.
Figure 1.1 Internet User in the World
(Source: www.statista.com)
1.2 Background of the Study
A study has conducted that the population of Muslim represents up to 23% of the world population. Meanwhile, the Islam has the lowest median age as half of Muslims are 23 years old or younger (Pew Research Centre, 2012). While, there is 1.705 % of corresponding rate for Muslim population with the population annual growth rate is around 1.194%. Thus, Muslim population will reach xxxxxxxxxx by 2075 (Kettani, 2010). In Saudi Arabia, Muslim population was 29,981,000 or about 98.1% out of total population by 2019 (Pew Research Centre, 2019).
The stereotype of public towards halal products has limited merely on halal foods. Nevertheless, consumerism in Muslim society has increased to turn into a pervasive trend in the globe. The development of Halal products in logistics industry has a great deal of value on global beauty market within Muslim consumer as well as drawing much attention by non-Muslim counterparts, as for the ingredients, the customers usually insisted that there are stringent inspection and standard control of Halal products as well as strictly specifications and sanitation procedures (Jim & Gillian, 2012).
CHAPTER 2
LITERATURE REVIEW
2.1 Introduction
The previous chapter has discussed the background of this research, and this chapter discusses the underpinning theory employed in the current study. It also reviews the extant literature regarding the influence of attitude, subjective norm, perceived behavioral control, and brand awareness on intention to purchase. This chapter starts from the Halal phenomenon around the globe which leading to the Halal conscious amongst Muslims and Non-Muslim customers in Saudi Arabia. Furthermore, it followed by a discussion about the theory of planned behaviors which includes four factors, namely, attitude, perceived behavior control, subjective norm, as well as brand awareness. Finally, this chapter outlines the theoretical framework and discusses the hypotheses development derived from theoretical framework.
CHAPTER 3
RESEARCH METHODOLOGY
3.1 Introduction
In this chapter, the methodology in conducting this research is discussed. Totally there are five parts mentioned elaborately of this chapter, that is, research design, population samples, instrumentation, data collection procedure and technique of data analysis. For each sector, more details are presented as follows.
3.2 Research Design
Research design is a way to test the hypothesis which used as a tool to analyze the relationship between variables. The quantitative method was used in this study. It specifically described the population and phenomenon of the respondents in characteristics. It is a way to identify the trend in a situation, and not the simple linkage between the different elements. By using this descriptive method, it generates the hypothesis used in the future studies, and provides a vivid picture for the connection between the variables.
CHAPTER 4
RESULTS AND DATA ANALYSIS
4.1 Introduction
This chapter mainly focuses on the result of the research which includes the demographic profile of the respondents, descriptive analysis, reliability analysis, factor analysis, correlation analysis and multiple regression analysis. The output of analyzing is to answer the research questions which have been mentioned in chapter 2.
4.2 Response Rate
For this research,totally 400 questionnaires were distributed in University Utara Saudi Arabia, and 365 questionnaires were received, thus, the response rate for this research is 91%. Sekaran & Bougie (2010) mentioned that it is acceptable if the response rate is 30%. The response rate is showed in Table 4.1.
CHAPTER 5
CONCLUSION
5.1 Introduction
This chapter is focusing on the discussion of result which presented in pervious chapter. The discussions are providing a reasonable support for the conceptual framework that there is a relationship between independent variables and dependent variable, to be more specific, there is a significant relationship between attitude, subjective norm, perceived behavioral control and brand awareness with intention to purchase Halal logistics in Saudi Arabia. This chapter is going to discuss the implication, limitation of study as well as the recommendation for the future study.
REFERENCES
|
Ajzen, I. (1985). From intention to action: a theory of planned behaviour, in Kuhl, J. and Beckman, J. (Eds), Action Control: From Cognition to Behaviour, Springer, New York, NY. Ajzen, I. (1991). The theory of planned behavior, Organization Behavior and Human Decision Processes, 50(2), 179-211. Ajzen, I., & Fishbein, M. (1980). Understanding Attitudes and Predicting Social Behavior. Englewood Cliffs, NJ: Prentice-Hall. Ambali, A.R. & Bakar, A. N. (2014). People's awareness on Halal foods and products: Potential Issues for Policy-makers. Procedia - Social and Behavioral Sciences. 121, 19 March 2014, 3–25. Ariff. (2009). Importance of Halal certification. Retrieved from http://www.Halalhournal.com/article/4262/importance-of-Halal-certification Blythe, Jim. (2008). Essentials of marketing. Pearson Education. Brown, S.P. and Stayman, D.M. (1992). Antecedents and consequences of attitude toward the ad: a meta analysis, Journal of Consumer Research, 19 (2). 34-51. Chen, M.F (2008). An integrated research framework to understand consumer attitudes and purchase intentions toward genetically modified foods, British Food Journal, 110 (6), 559 – 579. |
|
|
DeVellis, R.F. (2003). Scale development: theory and applications. Thousand Oaks, California: Sage.
Doob, L.W. (1993). The behavior of attitude. Psychological Review, 135-156.
Eagly, Alice H. & Chaiken, S.P. (1993). The psychology of attitudes. Shelly Orlando, FL, US: Harcourt Brace Jovanovich College Publishers.
Eagly, Alice H., Chaiken, Shelly Petty, Richard E. (Ed), Krosnick, Jon A. (Ed). (1995). Attitude strength, attitude structure, and resistance to change. Attitude strength: antecedents and consequences. Ohio State University series on attitudes and persuasion, 4: 413-432.
Fishbein, M., & Ajzen, I. (1975). Belief, Attitude, Intention, and Behavior: An introduction to theory and research. Reading, MA: Addison-Wesley.
Frain & John. (1999). Customers and customer buying behaviour. Introduction to marketing (4th ed.). Cengage Learning EMEA.
Gopi, M.; Ramayah, T.(2007). Applicability of theory of planned behavior in predicting intention to trade online: Some evidence from a developing country. International Journal of Emerging Markets. 2(4), 2007, 348-360.
Greener. S. (2008). Business research method. Telluride, CO: Ventus Publishing.
Hillsdale, NJ, England: Lawrence Erlbaum Associates, Inc, 510. Hospitality and Tourism Administration. 14(3), 203-232. http://repo.uum.edu.my/2466/1/Abdullah_Swidi_-_The_Mainstream_Logistics_Industry.pdf
Husain, R., Ghani, I. A., Mohammad, A. F., & Mehad, S. (2012). Current practices among Halal logistics manufacturers in Saudi Arabia. Journal of Statistical Modeling and Analytic. 3 (1), 46-51, 2012.
Hussin S. R., Hashim, H., Yusof, R. N. and Alias, N. N (2013). Relationship between product factors, advertising, and purchase intention of Halal logistic Pertanika. Journal of Social Science and humanities.21(S), 85-97.
Ivan, Wen. (2009). Factors affecting the online travel buying decision: a review, International Journal of Contemporary Hospitality Management, 21(6), 752 – 765.
Jim E. R. and Gillian J. B. (2012). Ensuring Safe Foods and Medical Products Through Stronger. The National academies Press. Washington.D.C.
Julit Pallat(2011), SPSS survival manual. Open University Press.
Kamali, M. H. (2003). Principles of Islamic jurisprudence. Cambridge: Islamic Texts Society.
Kettani, H. (2010). 2010 World Muslim Population, Paper presented at Proceedings of the 8th Hawaii International Conference on Arts and Humanities, Honolulu, Hawaii.
Laroche, M. and Sadokierski, R.W. (1994). Role of Confidence in a Multi-Brand Model of Intentions for a High Involvement Service, Journal of Business Research, 29(1), 1-12.
Laroche, N., Kim, C. and Zhou, L. (1996). Brand familiarity and confidence as determinants of purchase intention: an empirical test in a multiple brand context, Journal of Business Research, 37(10). 115-20.
Layla, Mandi. (2011). Halal Logistics – Ethical Approach, Retrieved from http://www.mynewsdesk.com/uk/pressreleases/Halal-logistics-ethical-approach-583090
Mei-Fang Chen, (2008) An integrated research framework to understand consumer attitudes and purchase intentions toward genetically modified foods, British Food Journal, 110(6), 559 – 579.
Mian N. Riaz. (2010). Fundamentals of Halal foods and certification. Retrieved from http://www.preparedfood.com/article/Feature_Article/BNP_GUID_9-5-2006_A_10000000000000734431
Mohamed Z., Rezai G., Shamsudin M.N.(2012). Non-Muslim consumers' understanding of Halal principles in Saudi Arabia. Journal of Islamic Marketing 3 (1), 35-46.
Morgan,Kreicie, Robert, V., & Daryle, W. (1970). Determining the sample size for research activities. Educational and psychological Maesurement,30, 607-610.
Muhammad bin Ismail al-Bukhari. (2000). Mawsu ah-hadith al Sharif al-Kutub Al-Sittah, Kitab al-Iman, Bab Fadl Man Istabraa li Dininh, hadith no.52.Riyad:Dar al-Salam.6.
New Direction Australian Retrieved May 30, 2014, from http://www.newdirections.com.au/content.php?p=home-home-campaigns
Pallant J. (2011). SPSS Survival Manual. Open University Press.
Pew Research Centre. (2009,October 7). Asia-Pacific Overview. Retrieved from http://www.pewforum.org/2009/10/07/mapping-the-global-muslim-population9/
Pew Research Centre. (2012). The World’s Muslims: Unity and Diversity. Retrieved from http://www.pewforum.org/files/2012/08/the-worlds-muslims-full-report.pdf
Pure Halal,100% Australian. (2011). Retrieved March 07, 2011, from http://www.newdirections.com.au/articles/article.php?aid=65Regulatory Systems Abroad
Rezai, G., Mohamed, Z., & Shamsudin M. N. (2012). Assessment of Consumers’ Confidence on Halal Labeled Manufactured Food in Saudi Arabia. Journal of Social Sciences & Humanities. 20(1), 33-42.
Riviere, E. J. & Buckley, G. J. (2012). Ensuring Safe Foods and Medical Products Through Stronger Regulatory Systems Abroad. Washington, DC: The National Academies Press, 2012
Robert F. DeVellis(2003), Scale Development: Theory and Applications. Newbury Park, CA: Sage Publications.
Robert V. Krejie and Daryle W. Mogarn(1970). Determining sample size for research activities, Educational psychological measurement, 1970, 30, 607-610.
Sekaran,U.,&Bougie,R.(2010). Research methods for business: A skill building appoarch. West Sussex, Uk: John Wiley & Sons Ltd.
Shih, Y.Y., Fang, K.(2004). The use of a decomposed theory of planned behavior to study Internet banking in Taiwan. Internet Research. 14( 3), 2004, 213-223
Shwu-Ing Wu, Chen-Lien Lo, (2009) The influence of core-brand attitude and consumer perception on purchase intention towards extended product, Asia Pacific Journal of Marketing and Logistics, 21(1), 174 – 194.
Stephen, S. Holden. (1993). Understanding brand awareness: Let me give you a clue. Advances in Consumer Research, eds. Leigh McAlister and Michael L. Rothschild, Provo, UT: ACR 20. 383-388.
Swidi, et, al. (2010). The Mainstream Logistics Industry in Saudi Arabia and the Emergence, Growth, and Prospects of Halal Logistic. Retrieved from http://repo.uum.edu.my/2466/1/Abdullah_Swidi_-_The_Mainstream_Logistics_Industry.pdf
Tang.Z, Luo.J, Xiao.J.( 2011). Antecedents of intention to purchase mass customized products. Journal of Product and Brand Management , 20 (4), July 2011, 316-326
Teng, Laroche and Huihuang. (2007). The Effects of Multiple-ads and Multiple-Brands on Consumer Attitude and Purchase Behavior, Journal of Consumer Marketing, 24(1).27-35.
Tuominen, P. (1999) Managing Brand Equity. Turku School of Economics and Business Administration.65-100.
Uma Sekaran (2003). Research method for business: A skill building approach, John Wiley & Sons, Inc.
Walsh G., Shiu E., Louise M. Hassan, (2012) Investigating the drivers of consumer intention to buy manufacturer brands, Journal of Product & Brand Management, 21 (5), 328 – 340.
Wen.I (2013). Online Shopping of Travel Products: A Study of Influence of Each Dimension of travelers' Attitudes and the Impact of travelers' Online Shopping Experiences on Their Purchase Intentions. International Journal of Hospitality & Tourism Administration.
Wu, S. I., & Lo, C. L. (2009). The influence of core-brand attitude and consumer perception on purchase intention towards extended product. Asia Pacific Journal of Marketing and Logistics, 21(1), 174-194.
Zimbardo, Philip G.; Boyd, John N (1999). Putting time in perspective: A valid, reliable individual-differences metric. Journal of Personality and Social Psychology, 77(6), 1271-1288.
Appendix A: Certification Letter for Survey
SURVEY QUESTIONNAIRE
Dear Participants,
I am a student in Ports and Maritime Transportation at King Abdulaziz University of Jeddah, Saudi Arabia. I am conducting a research entitle: “THE IMPLEMENTATION OF SHARIAH COMPLIANCE IN LOGISTICS OPERATIONS AT JEDDAH ISLAMIC PORT, SAUDI ARABIA”. The purpose of this study is to examine several factors influencing the implementation of halal logistics at Ports. This questionnaire is an important part of my dissertation accomplishment.
This questionnaire should only take about 10-15 minutes of your time. Your answers are anonymous. Do not write your name on the questionnaire paper, unless you want otherwise. All answers will be kept confidential. The result of this study will be presented at King Abdulaziz University of Jeddah, Saudi Arabia.
I sincerely hope you could spend your time to answer this survey. Again, I want to assure you that the result of this survey will be used in aggregate, without referring to any one individual, and will be used solely for academic research purposes.
Should you have any inquiry about this survey, please let me know. Thank you for your time and kind cooperation.
MOHAMMED SUBHAN ISHAK
B.Sc. (Ports and Maritime Transportation) Student
College of Maritime Studies
King Abdulaziz University, Jeddah, Saudi Arabia
Contact Number:012-24288667
Email: berry123@stud15,kau.edu.sa
Appendix B: The Result of Factor Analysis
Factor Analysis for Subjective Norm
|
KMO and Bartlett's Test |
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Kaiser-Meyer-Olkin Measure of Sampling Adequacy. |
.920 |
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Bartlett's Test of Sphericity |
Approx. Chi-Square |
2863.173 |
|
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Df |
21 |
|
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Sig. |
.000 |
|
Total Variance Explained |
||||||
|
Component |
Initial Eigenvalues |
Extraction Sums of Squared Loadings |
||||
|
|
Total |
% of Variance |
Cumulative % |
Total |
% of Variance |
Cumulative % |
|
1 |
5.735 |
81.926 |
81.926 |
5.735 |
81.926 |
81.926 |
|
2 |
.362 |
5.172 |
87.099 |
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|
|
|
3 |
.237 |
3.384 |
90.482 |
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4 |
.226 |
3.225 |
93.708 |
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5 |
.184 |
2.626 |
96.334 |
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|
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6 |
.156 |
2.231 |
98.565 |
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7 |
.100 |
1.435 |
100.000 |
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Extraction Method: Principal Component Analysis. |
Factor Analysis for Perceived Behavioural Control
|
KMO and Bartlett's Test |
||
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Kaiser-Meyer-Olkin Measure of Sampling Adequacy. |
.814 |
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|
Bartlett's Test of Sphericity |
Approx. Chi-Square |
901.485 |
|
|
Df |
10 |
|
|
Sig. |
.000 |
|
Total Variance Explained |
||||||
|
Component |
Initial Eigenvalues |
Extraction Sums of Squared Loadings |
||||
|
|
Total |
% of Variance |
Cumulative % |
Total |
% of Variance |
Cumulative % |
|
1 |
3.169 |
63.382 |
63.382 |
3.169 |
63.382 |
63.382 |
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2 |
.873 |
17.469 |
80.851 |
|
|
|
|
3 |
.442 |
8.840 |
89.691 |
|
|
|
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4 |
.293 |
5.856 |
95.547 |
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|
|
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5 |
.223 |
4.453 |
100.000 |
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|
|
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Extraction Method: Principal Component Analysis. |
Appendix C: The Result of Correlation Analysis
|
Correlations |
||||||
|
|
iv1 |
iv2 |
iv3 |
iv4 |
dv |
|
|
iv1 |
Pearson Correlation |
1 |
.854** |
.675** |
.703** |
.876** |
|
|
Sig. (2-tailed) |
|
.000 |
.000 |
.000 |
.000 |
|
|
N |
360 |
360 |
360 |
360 |
360 |
|
iv2 |
Pearson Correlation |
.854** |
1 |
.630** |
.757** |
.821** |
|
|
Sig. (2-tailed) |
.000 |
|
.000 |
.000 |
.000 |
|
|
N |
360 |
360 |
360 |
360 |
360 |
|
iv3 |
Pearson Correlation |
.675** |
.630** |
1 |
.583** |
.654** |
|
|
Sig. (2-tailed) |
.000 |
.000 |
|
.000 |
.000 |
|
|
N |
360 |
360 |
360 |
360 |
360 |
|
iv4 |
Pearson Correlation |
.703** |
.757** |
.583** |
1 |
.712** |
|
|
Sig. (2-tailed) |
.000 |
.000 |
.000 |
|
.000 |
|
|
N |
360 |
360 |
360 |
360 |
360 |
|
dv |
Pearson Correlation |
.876** |
.821** |
.654** |
.712** |
1 |
|
|
Sig. (2-tailed) |
.000 |
.000 |
.000 |
.000 |
|
|
|
N |
360 |
360 |
360 |
360 |
360 |
|
**. Correlation is significant at the 0.01 level (2-tailed).
|
Appendix G: The Result of Multiple Regression Analysis
|
Model Summaryb |
||||
|
Model |
R |
R Square |
Adjusted R Square |
Std. Error of the Estimate |
|
1 |
.893a |
.797 |
.795 |
.46660 |
|
a. Predictors: (Constant), iv4, iv3, iv1, iv2 b. Dependent Variable: dv
|
|
ANOVAb |
||||||
|
Model |
Sum of Squares |
df |
Mean Square |
F |
Sig. |
|
|
1 |
Regression |
303.845 |
4 |
75.961 |
348.909 |
.000a |
|
|
Residual |
77.288 |
355 |
.218 |
|
|
|
|
Total |
381.133 |
359 |
|
|
|
|
a. Predictors: (Constant), iv4, iv3, iv1, iv2 b. Dependent Variable: dv |
|
Coefficientsa |
||||||
|
Model |
Unstandardized Coefficients |
Standardized Coefficients |
t |
Sig. |
||
|
|
B |
Std. Error |
Beta |
|
|
|
|
1 |
(Constant) |
.011 |
.124 |
|
.090 |
.928 |
|
|
iv1 |
.602 |
.050 |
.586 |
11.944 |
.000 |
|
|
iv2 |
.188 |
.051 |
.188 |
3.703 |
.000 |
|
|
iv3 |
.079 |
.037 |
.072 |
2.164 |
.031 |
|
|
iv4 |
.143 |
.046 |
.116 |
3.078 |
.002 |
|
a. Dependent Variable: dv
|
|
Residuals Statisticsa |
|||||
|
|
Minimum |
Maximum |
Mean |
Std. Deviation |
N |
|
Predicted Value |
1.2637 |
5.0700 |
4.0157 |
.91998 |
360 |
|
Residual |
-1.52671 |
1.64384 |
.00000 |
.46399 |
360 |
|
Std. Predicted Value |
-2.991 |
1.146 |
.000 |
1.000 |
360 |
|
Std. Residual |
-3.272 |
3.523 |
.000 |
.994 |
360 |
|
a. Dependent Variable: dv |
ii