conclusion
The insignificant variables (corporate identity, public relation and trustworthiness) were excluded from equation 1. After excluding the insignificant variables from the model equation 1, the final equation becomes as follows;
Customer loyalty = α + 0.074 (Brand image) + 0.991 (Perceived quality) + €
The above equation suggests that a 1 unit increase in brand image is likely to result in 0.074 units increase customer loyalty. In comparison, 1 unit increase in perceived quality can result in 0.991 units increase in customer loyalty.
To further explore the results, the demographic variables’ data were cross-tabulated against the respondents’ responses regarding customer loyalty using SPSS. In this regards the five demographic variables; gender, age group, annual income, marital status and education level were cross-tabulated against the five questions regarding customer loyalty to know the difference between the customer loyalty of five-star hotels of UK based on demographic differences. The results of the cross-tabulation analysis are given in the appendix. The results are graphically presented in bar charts too, which are also given in the appendix.
The gender was cross-tabulated against question 1 to 5 of the questionnaire to identify the gender differences between male and female respondents’ responses regarding customer loyalty of five-star hotels of the UK. The results indicated that out of 100 males, 57% were extremely agreed that they stay at one hotel, while out of 100 females, 80% were extremely agreed they stay at one hotel. This shows that in comparison with a male, females were more agreed that they stayed at one hotel and were found to be more loyal towards their respective hotel brands.
The cross-tabulation results further indicated that out of 100 males, 53% agreed that they always say positive things about their respective hotel brand to other people. In contrast, out of 100 females, 77% were extremely agreed. Based on the results, the females were found to be in more agreement than males that they always say positive things about their respective hotel brand to other people.
It was further found that out of 100 males, 53% were extremely agreed that they recommend their hotel brand to others, however, out of 100 females, 74% were extremely agreed to this statement. This result also suggested that females were more in agreement than males to recommend their hotel brand to others.
Moreover, it was found that out of 100 males, 54% were extremely agreed that they don’t seek alternative hotel brands, while out of 100 females, 79% were extremely agreed to this statement. This result also suggested that females were more agreed than males that they don’t seek alternative hotel brands, and so were found to be more loyal than males.
Furthermore, it was identified that out of 100 male respondents 56% were extremely agreed that they would continue to go to the same hotel irrespective of the prices, however out of 100 females 79% were extremely agreed. Based on this result, it was clear that females were more agreed than males that they would continue to go to the same hotel irrespective of the prices, so females were found to be more loyal than males.
After cross tabulating ‘gender’ against the response of the 5 questions regarding customer loyalty the females were found to be more loyal customers of the five-star hotel brands than males as they were found to be more in agreement than the man that they stay at one hotel, always say positive things about their hotel brand to other people, recommend their hotel brand to others, don’t seek alternative hotel brands and would continue to go to the same hotel irrespective of the prices.
Afterward, the second demographic variable, ‘age groups’ was cross-tabulated against questions 1 to 5 of the questionnaire to identify the difference between the customer loyalty of customers of different age groups. The results indicated that out of 78 respondents between 20 to 35 years of age, 61.5% were extremely agreed that they stayed at one hotel. While out of 113 respondents who were between 36 to 60 years of age, 72.6% were extremely agreed that they always stay at one hotel. However, out of 9 respondents who were above 60 years of age, 77.8% agreed that they always stay at one hotel. This indicated that customers of 36-60 and above 60 age groups were more loyal to their hotel brands as they were keener to stay at a respective hotel brand.
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The third demographic variable, ‘annual income’ was cross-tabulated against questions 1 to 5 of the questionnaire to identify which of the customers were most loyal based on their respective annual income levels. The results indicated that out of 26 respondents who had annual income up to 30000 GBP, 84.6% were extremely agreed that they always stay at one hotel. However, out of 54 respondents who had annual income from 31000 to 50000 GBP, 98.1% agreed that they always stay at one hotel. Although out of 105 respondents had annual income from 50000 to 100000 GBP, 49.5% were extremely agreed that they always stay at one hotel. While out of 10 respondents who had annual income from 50000 to 1000000 GBP, 66.7% agreed that they always stay at one hotel. This indicated that customers of annual income levels from 31000 to 50000 GBP were more loyal to their hotel brands than the customers having other annual income levels.
Furthermore, the fourth demographic variable the ‘marital status’ was cross-tabulated against questions 1 to 5 of the questionnaire to understand the difference between married and unmarried respondents regarding customer loyalty of five-star hotels of the UK. The cross-tabulation analysis results indicated that out of 122 single respondents, 59.8% were extremely agreed that they stay at one hotel. However, out of 78 married respondents, around 82% of respondents agreed that they stay at one hotel. Thus, the married customers were more loyal to their hotel brands than unmarried customers because, in comparison, married customers prefer to stay at one hotel brand.
To proceed with the cross-tabulation results, out of 122 single respondents, 55.7% were extremely agreed upon always saying positive things about their hotel brands to other people. On the other hand, out of 78 married respondents, 79.5% were extremely agreed. Hence, upon evaluating the results, it can be said that married customers have more customer loyalty as they are in more agreement than singles. They always give positive feedback regarding their respective hotel brand to other people.
Subsequently, the fifth demographic variable, ‘education level’ was cross-tabulated against questions 1 to 5 of the questionnaire to identify which of the customers were most loyal based on their respective education levels. The results indicated that out of 50 respondents who were diploma holders, 67.6% were extremely agreed that they always stay at one hotel. While out of 64 respondents who were graduates, 69.6% were extremely agreed that they always stay at one hotel. Although out of 22 respondents who were masters, 68.8% were extremely agreed that they always stay at one hotel. However, out of 2 respondents with doctorates, 50% were extremely agreed to always stay at one hotel. This indicated that customers who were graduates were more loyal than the customers with diplomas, masters, or doctorates.
Moreover, 66.2% of the diploma holders were extremely agreed that they always say positive things about their hotel brand to other people. In comparison, 64.1% of the respondents who were graduates were extremely agreed. However, 65.5% of the respondents who had masters were extremely agreed, and 50% of the respondents who had doctorates agreed with the statement. Based on this result customers having masters were the most loyal customers of their respective five-star hotel brands.
In this subsection, the findings of this study are compared and contrasted with the literature to identify which of the past research supports the present research findings. This present study based on regression analysis suggested that brand image can have a significant positive effect on the customer loyalty of five-star hotels in the UK. This finding was supported by the research of Heung et al. (1996), who also suggested that the hotel’s brand image can play a vital role in preserving a high ratio of customer loyalty.
Moreover, this present study also suggested that perceived quality was the second factor that was found to have a significant positive effect on customer loyalty. The perceived quality was evaluated based on; service quality, comfort, staff courtesy, customer satisfaction, and service quality expectations. In this regard, Tat and Raymond (2000) research supports the findings of this study. The staff service quality was found to affect customer loyalty and the level of satisfaction. Teas (1994) had also found service quality to affect customer loyalty. However, Teas also found that staff empathy (staff courtesy) towards customers can also affect customer loyalty. The research of Rowley and Dawes (1999) also supports the finding of this present study. The users’ expectations about the quality and nature of the services affect customer loyalty. A study by Oberoi and Hales (1990) was found to agree with the present study’s findings, as they had found the quality of staff service to affect customer loyalty.
The customers who had bachelor degrees and the customers who had master degrees were more loyal to the customers who had a diploma or doctorate.
Bryman, A., Bell, E., 2015. Business Research Methods. Oxford University Press.
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Kelley, ., Clark, B., Brown, V., Sitzia, J., 2003. Good practice in the conduct and reporting of survey research. Int J Qual Health Care 15, 261–266. doi:10.1093/intqhc/mzg031
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Development. Edward Elgar Publishing.
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Innovation clinic—significant achievements for 2023-24.
The Innovation Clinic continued its track record of success during the 2023-2024 school year, facing unprecedented demand for our pro bono services as our reputation for providing high caliber transactional and regulatory representation spread. The overwhelming number of assistance requests we received from the University of Chicago, City of Chicago, and even national startup and venture capital communities enabled our students to cherry-pick the most interesting, pedagogically valuable assignments offered to them. Our focus on serving startups, rather than all small- to medium-sized businesses, and our specialization in the needs and considerations that these companies have, which differ substantially from the needs of more traditional small businesses, has proven to be a strong differentiator for the program both in terms of business development and prospective and current student interest, as has our further focus on tackling idiosyncratic, complex regulatory challenges for first-of-their kind startups. We are also beginning to enjoy more long-term relationships with clients who repeatedly engage us for multiple projects over the course of a year or more as their legal needs develop.
This year’s twelve students completed over twenty projects and represented clients in a very broad range of industries: mental health and wellbeing, content creation, medical education, biotech and drug discovery, chemistry, food and beverage, art, personal finance, renewable energy, fintech, consumer products and services, artificial intelligence (“AI”), and others. The matters that the students handled gave them an unparalleled view into the emerging companies and venture capital space, at a level of complexity and agency that most junior lawyers will not experience until several years into their careers.
While the Innovation Clinic’s engagements are highly confidential and cannot be described in detail, a high-level description of a representative sample of projects undertaken by the Innovation Clinic this year includes:
More information regarding other types of transactional projects that we typically take on can be found here .
Thanks to another generous gift from Douglas Clark, ’89, and managing partner of Wilson, Sonsini, Goodrich & Rosati, we were able to operationalize the second Innovation Trek over Spring Break 2024. The Innovation Trek provides University of Chicago Law School students with a rare opportunity to explore the innovation and venture capital ecosystem in its epicenter, Silicon Valley. The program enables participating students to learn from business and legal experts in a variety of different industries and roles within the ecosystem to see how the law and economics principles that students learn about in the classroom play out in the real world, and facilitates meaningful connections between alumni, students, and other speakers who are leaders in their fields. This year, we took twenty-three students (as opposed to twelve during the first Trek) and expanded the offering to include not just Innovation Clinic students but also interested students from our JD/MBA Program and Doctoroff Business Leadership Program. We also enjoyed four jam-packed days in Silicon Valley, expanding the trip from the two and a half days that we spent in the Bay Area during our 2022 Trek.
The substantive sessions of the Trek were varied and impactful, and enabled in no small part thanks to substantial contributions from numerous alumni of the Law School. Students were fortunate to visit Coinbase’s Mountain View headquarters to learn from legal leaders at the company on all things Coinbase, crypto, and in-house, Plug & Play Tech Center’s Sunnyvale location to learn more about its investment thesis and accelerator programming, and Google’s Moonshot Factory, X, where we heard from lawyers at a number of different Alphabet companies about their lives as in-house counsel and the varied roles that in-house lawyers can have. We were also hosted by Wilson, Sonsini, Goodrich & Rosati and Fenwick & West LLP where we held sessions featuring lawyers from those firms, alumni from within and outside of those firms, and non-lawyer industry experts on topics such as artificial intelligence, climate tech and renewables, intellectual property, biotech, investing in Silicon Valley, and growth stage companies, and general advice on career trajectories and strategies. We further held a young alumni roundtable, where our students got to speak with alumni who graduated in the past five years for intimate, candid discussions about life as junior associates. In total, our students heard from more than forty speakers, including over twenty University of Chicago alumni from various divisions.
The Trek didn’t stop with education, though. Throughout the week students also had the opportunity to network with speakers to learn more from them outside the confines of panel presentations and to grow their networks. We had a networking dinner with Kirkland & Ellis, a closing dinner with all Trek participants, and for the first time hosted an event for admitted students, Trek participants, and alumni to come together to share experiences and recruit the next generation of Law School students. Several speakers and students stayed in touch following the Trek, and this resulted not just in meaningful relationships but also in employment for some students who attended.
More information on the purposes of the Trek is available here , the full itinerary is available here , and one student participant’s story describing her reflections on and descriptions of her experience on the Trek is available here .
The Innovation Clinic is grateful to all of its clients for continuing to provide its students with challenging, high-quality legal work, and to the many alumni who engage with us for providing an irreplaceable client pipeline and for sharing their time and energy with our students. Our clients are breaking the mold and bringing innovations to market that will improve the lives of people around the world in numerous ways. We are glad to aid in their success in any way that we can. We look forward to another productive year in 2024-2025!
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The analysis and interpretation of data is carried out in two phases. The. first part, which is based on the results of the questionnaire, deals with a quantitative. analysis of data. The second, which is based on the results of the interview and focus group. discussions, is a qualitative interpretation.
older represented 10% of the sample, 35% were between 51 and 60, 20% were between the. ages of 41-50. The 31-40 age group was also 20% of the sample and 15% of the participants. declined to answer. Graphic displays of demographics on company size, work status, age, and industry sector are provided in Appendix F.
Writing a Dissertation's Chapter 4 and 5 4 the data demographics explaining the age, gender, or relevant related information on the population. The researcher narrates a summary of the demographics of the sample, and if the table is concise, presents demographics in a table format after the narration.
DATA PRESENTATION, ANALYSIS AND INTERPRETATION. 4.0 Introduction. This chapter is concerned with data pres entation, of the findings obtained through the study. The. findings are presented in ...
4.1 INTRODUCTION. This chapter describes the analysis of data followed by a discussion of the research findings. The findings relate to the research questions that guided the study. Data were analyzed to identify, describe and explore the relationship between death anxiety and death attitudes of nurses in a private acute care hospital and to ...
For statistical modeling purposes, responses were recoded into one of three categories: negative reputation (score of 1, 2, or 3; about 18.5% of respondents), positive reputation (score of 4 or 5; about 24.8% of respondents), and no reputation (score of 6; about 56.7% of respondents).". Example 2. This example shows how one explains reverse ...
4.1 INTRODUCTION. In this chapter, I describe the qualitative analysis of the data, including the practical steps involved in the analysis. A quantitative analysis of the data follows in Chapter 5. In the qualitative phase, I analyzed the data into generative themes, which will be described individually. I describe how the themes overlap.
Present Demographics. Present the descriptive data: explaining the age, gender, or relevant related information on the population (describe the sample). Summarize the demographics of the sample, and present in a table format after the narration (Simon, 2006). Otherwise, the table is included as an Appendix and referred to in the narrative of ...
4.1 INTRODUCTION. This chapter will outline the qualitative data collection methods used, describe the analytic techniques employed as well as presenting the findings from this phase of the research study. The findings will be fully discussed with links to current literature identified in Chapter 1. The characteristics of the research ...
Best Practice: How to Write a Dissertation or Thesis Quantitative Chapter 4. In the first paragraph of your quantitative chapter 4, the results chapter, restate the research questions that will be examined. This reminds the reader of what you're going to investigate after having been trough the details of your methodology.
Elements of Chapter 4. Topic 1: Chapter 4. What needs to be included in the chapter? The topics below are typically included in this chapter, and often in this order (check with your Chair): Introduction. Remind the reader what your research questions were. In a qualitative study you will restate the research questions.
and 4) Smart Clothing's context. The results shown in this chapter have already been processed and analysed, and the raw findings are presented in Appendix B. Most quotes and examples are drawn from the interviews and the focus groups. Further results of the case studies are demonstrated in the last published paper in the Appendix.
CHAPTER 4. H RESULTS AND ANALYSIS4.1 INTRODUCTIONThis chapter reviews the results and analysis of the qualitative data, the compilation of the questionnaire and the results and analysis of. the quantitative findings of the study. The findings are also discussed in the light of previous research findings and available literature, where ...
Skimming through these dissertations, you can also check out how to craft Chapter 4 and what to discuss. Example: 1 The Importance of Health and Safety in Construction Industry. Example:2 Influence of Different Socio-Physical Attributes on Individual's Weight. Keep going through till the end to have a complete idea of how to compose a well ...
A thesis or dissertation outline helps you to organize your ideas succinctly, and can provide you with a roadmap for your research. ... after which the results are presented and discussed in Chapter 4. Sample verbs for variation in your chapter outline. As you draft the chapter outline, you may also find yourself frequently repeating the same ...
Chapter 4 Considerations. Topic 1: Chapter 4. How do you organize your chapter? Your chapter needs to be organized in a way that answers your research questions. The information must be organized in a way that is logical and easy to follow for your reader. You may describe your sample here if this is something that emerged from your data ...
Sample Thesis Chapter 4 Presentation Analysis and Interpretation of Data - Free download as PDF File (.pdf), Text File (.txt) or read online for free. This document discusses the challenges students face with Chapter 4 of their thesis, which focuses on data presentation, analysis, and interpretation. It notes that Chapter 4 is complex, requiring statistical analysis and the ability to identify ...
This document discusses writing the results and discussion chapter of a thesis. It notes that chapter 4 requires a meticulous presentation of research findings along with an insightful discussion that interprets the results in the broader context of the study. Crafting this chapter demands a deep understanding of the methodology, analysis, and ability to synthesize findings into a coherent ...
This chapter discusses the data analysis and findings from 107 questionnaires completed by adolescent mothers who visited one of the two participating well-baby clinics in the Piet Retief (Mkhondo) area during 2004. The purpose of this study was to identify factors contributing to adolescent mothers' non-utilisation of contraceptives in the area.
This dissertation template is based on the tried and trusted best-practice format for formal academic research projects. The template structure reflects the overall research process, ensuring your document has a smooth, logical flow. Here's how it's structured: The title page/cover page. Abstract (sometimes also called the executive summary)
The income values were in GBP. It was found that 13% of the respondents had income 'up to 30000', 27% had income between '31000 to 50000', 52.5% had income between '51000 to 100000', and 7.5% had income 'Above 100000'. This suggests that most of the respondents had an annual income between '31000 to 50000' GBP.
Time to recap…. And there you have it - the traditional dissertation structure and layout, from A-Z. To recap, the core structure for a dissertation or thesis is (typically) as follows: Title page. Acknowledgments page. Abstract (or executive summary) Table of contents, list of figures and tables.
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This page titled 10.4: Chapter 10 References and Suggested Readings is shared under a CC BY-NC-SA 4.0 license and was authored, remixed, and/or curated by Michael R Dohm via source content that was edited to the style and standards of the LibreTexts platform.
General The Innovation Clinic continued its track record of success during the 2023-2024 school year, facing unprecedented demand for our pro bono services as our reputation for providing high caliber transactional and regulatory representation spread. The overwhelming number of assistance requests we received from the University of Chicago, City of Chicago, and even national startup and ...
CBSE Class 12 Physics Chapter 8 Practice Questions 2025: The 2024-25 Competency-Focused Questions for CBSE Class 12 Physics Optics are given here. Check and download the MCQs and Free Response ...
Download Volume 3 and 4 of CBSE Class 10 Maths Chapter 7 Coordinate Geometry In this article we have provided the direct links to download the volume 3 and 4 for Coordinate Geometry class 10 ...