Contents & References of The relationship between customer experience management and organizational productivity in indoor swimming pools in West Azarbaijan province
List:
1-1-Introduction. 1
1-2-Explanation of the subject and statement of the problem. 2
1-3-The importance and necessity of doing research. 3
1-4-Research hypotheses. 5
1-5- Explanation of research variables. 5
1-6- Research objectives:. 6
1-6-1-general purpose. 6
1-6-2-minor goals. 6
1-7-Definition of research specific words. 6
1-8-The framework of the coming seasons. 9
Chapter Two (examination of thematic literature and research history)
2-1-Introduction. 11
2-2-Research history and thematic literature and theoretical literature. 11
2-2-1- Getting to know the concepts of productivity. 11
2-2-1-1- Productivity history. 11
2-2-1-2- Dictionary definition of productivity. 13
2-2-1-3- general definition of productivity. 13
2-2-1-4- Organizational definition of productivity. 13
2-2-1-5- Other definitions of productivity. 13
2-2-1-6- What is productivity?. 14
2-2-1-7- productivity components:. 15
2-2-1-7-1- Efficiency:. 15
2-2-1-7-2- effectiveness:. 15
2-2-1-8- The importance of productivity. 16
2-2-1-9- The difference between productivity and production. 16
2-2-1-10- productivity levels. 17
2-2-1-10-1- Productivity at the international level. 17
2-2-1-10-2- Productivity at the national level. 17
2-2-1-10-3- Productivity at the sector level. 18
2-2-1-10-4- Productivity at the organization and company level. 18
2-2-1-10-5- Productivity at the production unit level. 19
2-2-1-10-6- Productivity of the working person. 20
2-2-1-11- management cycle of productivity improvement. 20
2-2-1-12- Productivity measurement. 21
2-2-1-13- Analysis of productivity indicators. 22
2-2-1-14- Factors inhibiting the improvement of productivity. 22
2-2-2- Getting to know the concepts related to customer experience management. 24
2-2-2-1- Customer experience management. 24
2-2-2-2- Definitions of customer experience management. 25
2-2-2-3- features of customer experience management. 27
2-2-2-4- levels of customer experience management. 27
2-2-2-5- Customer experience management framework. 28
2-2-2-6- cycle of customer experience programs. 31
2-2-2-7- Customer experience management process. 31
2-2-2-8- Customer experience management in order to build a brand and improve long-term profitability 31
2-2-2-9- Benefits of customer experience management. 32
2-2-2-10- The four stages of implementing customer experience management (CEM). 32
2-2-2-11- Customer experience management indicators and its measurement. 33
2-3- Research related to the subject. 36
2-3-1- Productivity research. 36
2-3-1-1- Internal productivity research. 36
2-3-1-2- External productivity research. 39
2-3-2- Research related to customer experience management. 40
2-3-2-1- Internal investigations of customer experience management. 40
2-3-2-2-External research on customer experience management. 42
Chapter Three (Research Methodology)
3-1-Introduction. 50
3-2-Research method. 50
3-3-Stages of conducting research. 50
3-4-Statistical population and statistical sample. 50
3-5-time and place of research. 51
3-6-Statistical methods and measurement of research variables. 51
3-7-Method of collecting information and data. 51
3-7-1- Organizational productivity questionnaire. 51
3-7-2-reliability and validity of organizational productivity questionnaire. 52
3-7-3-customer experience management questionnaire. 52
3-7-4- Reliability and validity of customer experience management questionnaire. 53
3-7-5-Personal profile form. 53
3-8-Data analysis method. 53
3-9- Correlation analysis. 53
3-11-research limitations. 54
3-12-chapter summary. 55
Chapter Four (Information Analysis)
4-1-Introduction. 57
4-2-Description of the subjects' demographic information. 57
4-2-1-Gender of managers. 59
4-2-2- Service history of managers. 60
4-2-3-age of subjects. 61
4-2-4- Educational qualification of managers. 62
4-2-5-Training of managers. 63
4-2-6-level of coaching managers. 64
4-3-Statistical analysis of research data. 65
4-3-1- Smirnoff columnograph test to determine the normality of data distribution. 65
4-3-2-Research hypotheses. 67
4-4-regression analysis of variables. 72
4-5-chapter summary. 74
Chapter five (summary, conclusion and suggestions)
5-1-Introduction. 76
5-2-How to form research questions and hypotheses.76
4-5-Summary of the results of the research. 78
5-5-Suggestions. 80
5-5-1-Suggestions derived from research. 80
5-5-2- Suggestions to researchers. 81
Resources. 83
Attachments. 91
English abstract. 97
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