A thesis submitted in fulfillment of the requirements for the Bachelor of Entrepreneurship (Commerce) Degree with Honours. Research objective and Research Methodology in line with comprehensive. literature review) The content of the report is systematic. The content of the report is written unsystematically that does not include the background of the study, the statement of the problem, the objective of the research, the research question and non-scientific topic of unsearchable topic.
The content of the report is written less systematically, including a reasonable background of the research, the problem definition, the research objective and the research question, and is less scientific with a reasonably researchable subject. The report is produced at the specified time, but does not follow the format. The report is well written and easy to read; The majority of the points are well explained and the flow of ideas is coherent.
The report is grammatically, theoretically, technically and logically correct in most of the chapters with few weaknesses. The report is grammatically, theoretically, technically and logically perfect in all chapters without any weaknesses.
INTRODUCTION 1.1 BACKGROUND OF THE STUDY
In today's ever-increasing popularity and consistency of purchasing items or services online, customer loyalty is undoubtedly one of the most important factors that online business companies need to focus on. Without a digital clientele, this could lead to the demise of a particular online business platform as customer loyalty is one of the main focuses of these businesses. All an entrepreneur needs to do is identify and address a small number of these issues to regain the majority of lost sales.
Hence, this marks the importance of digital clientelism that exists in every single online business platform or website. What is the relationship between Customer Innovation and Adoption towards hyper-personalization through digital customership. What is the relationship between Customer Involvement and Adoption towards hyper-personalization through digital customership.
What is the relationship between willingness to create and adoption of hyper-personalization through digital clientele. What is the relationship between subjective norms and the adoption of hyper-personalization through digital clientele.
Research Objective
LITERATURE REVIEW 2.1 INTRODUCTION
- UNDERPINNING THEORY
- FACTOR AFFECTING HYPER-PERSONALIZATION THROUGH DIGITAL CLIENTELING
- SUMMARY / CONCLUSION
Therefore, a customer's involvement is positively related to adoption intention for hyper-personalized digital customership. So when customers willingly co-create a particular product or service through digital customership in order to hyper-personalize goals, they adopt it. H3: There is a relationship between willingness to co-create and adoption towards hyper-personalization through digital customership.
Another person's perspective can influence the customer to trust and accept digital customerism that is able to hyper-personalize their online shopping experience. The adoption of digital clientelism has a positive relationship between subjective norms are due to the modern world where people choose to live with a minimalist concept. A hyper-personalization of digital customership can also help the customer to prevent them from spending a lot of time to find and choose the variety of products in the market.
A positive relationship between these two variables shows the effect of subjective norms that can influence customers to adopt digital clientele. The current study proposed a conceptual framework based on the proposed hypothesis elements to explain the adoption intention towards hyper-personalization through digital clienteling in the online business, as shown in Figure 1.
RESEARCH METHODS
- INTRODUCTION
- RESEARCH DESIGN
- DATA COLLECTION METHODS
- STUDY POPULATION
- SAMPLE SIZE
- RESEARCH INSTRUMENT DEVELOPMENT
- MEASUREMENT OF THE VARIABLES
- PROCEDURE FOR DATA ANALYSIS
The quantitative technique was used in this study because it is more objective to examine and interpret the relationship between the independent variables and the dependent variables. After the collection of the primary data for this study, a questionnaire survey will be used to analyze it. In this segment, we will discuss what kind of method our group will use to collect data for our quantitative research.
The technique of collecting data and evaluating predetermined variable measures in this study will allow the respondents to answer relevant questions and analyze the results. This study's development included the use of the same data collection instrument, the formal questionnaire. The sample size in this study will be estimated by the researcher to be around 400 and above Malaysian respondents.
For this part, since convenience sampling was used in this study, each member of the population has an equal chance of being selected as a sample. There are four scales in this classification, developed by psychologist Stanley Smith Stevens. The respondents in this study are classified into specific groups or categories and the researchers provide some key details as stated in Part A.
In this study, an ordinal scale was used in Section B, which included items on both an ordinal scale and a Likert scale. As mentioned in this chapter, the Likert scale was used to rate respondents' levels of agreement or disagreement with given statements on a range of 1 to 5. The analysis strategy enables the researcher to make sure that all the data effectively used.
In this study, Pearson's correlation coefficient is used to know the relationship between independent and dependent variables. The purpose of this study is to give readers a complete picture of co-creative service innovation in the context of the digital revolution in the online business industry. Overall, the extended conceptual framework tested in this study can be practically applied to other service industries where personalization is feasible because it identifies a number of variables related to innovation, collaboration and co-creation in Malaysia.
DATA ANALYSIS AND FINDING 4.1 INTRODUCTION
- PRELIMINARY ANALYSIS
- DEMOGRAPHIC PROFILE OF RESPONDENTS
- Number of Respondents Based on Marital Status Table Marital Status of Respondent
- Number of Respondents Based on Educational Level Table Educational Level of Respondents
- Number of Respondents Based on Occupation
- Number of Respondents Based on Their Frequency Shopping Online Table Frequency of Respondents Shopping Online
- Number of Respondents Based on The Platform They Use to Shop Online Table Platform of Respondents Use to Shop Online
- Dependent Variable 1: Adoption
- Independent Variable 1: Customer Innovativeness
- Independent Variable 2: Willing to Co-Create
- Independent Variable 3: Customer Involvement
- Independent Variable 4: Attitude
- Independent Variable 5: Subjective Norms
- RELIABILITY TEST
- NORMALITY TEST
- Customer Innovativeness and Customer Involvement
- Customer Innovativeness and Willingness to Co-Create
- Customer Involvement and Subjective Norms
Based on Table 4.2.5, the result for Cronbach's Alpha of the attitude towards digital customer care is 0.830. Based on figure 4.3.1 and table 4.3.1, both genders of the respondents who took part in the survey are shown. There are six levels of education that respondents can choose based on their profile according to table 4.3.6 and figure 4.3.6.
This proves that there is a significant relationship between customer innovation and customer engagement in Malaysia. After that, the Pearson correlation is 0.691, which shows a strong positive correlation between customer engagement and adoption. This proves that there is a significant relationship between customer involvement and subjective norms in Malaysia.
DISCUSSION AND CONCLUSION 5.1 INTRODUCTION
- KEY FINDINGS
- Customer Innovativeness and Adoption
- Customer Involvement and Adoption
- Subjective Norms and Adoption
- Implication of the Study
- Limitations of the Study
- Recommendation / Suggestion for the Future Research
- Summary / Conclusion of the Study
- ALVIN LOW ZHEN KEEN (A19A0038)
- AESHAH HARTINI BINTI ADNAN (A19A0007)
- FATIMAH FATIH BINTI SAIPUL ANUAR (A19A0143) 4. ABDUL HELMI BIN AB RAZAK (A19A1012)
The reliability analysis, descriptive analysis, and Pearson correlation coefficient analysis are all parts of the data analysis process. To check the internal consistency of the measuring device, the reliability test was applied to the independent variables. In this study, the customer engagement variable clearly shows that this variable influences customer adoption towards digital clientele in Malaysia the most.
Also in this study, the Pearson's correlation coefficient was used to quantify the strength of the association between the dependent variable and the independent variables. By doing so, the enterprise seeks to broaden the scope and function of a person's participation in various phases of the service innovation process to meet personal requirements and demands. Co-creation, on the other hand, allows businesses to collaborate outside the workplace to generate new ideas and challenge their own established practices.
Analyzes from Chapter 4, the results of the data show that there is a strong positive correlation between attitude and adoption, where r = 0.689, p < 0.05. All variables are likely to have a favorable relationship with digital customer service adoption. Based on the results of this study, adoption to Digital Clienteling has a positive relationship with independent variables.
One of the limitations is the time in which researchers have to collect 400 responses from the questionnaire distribution. Although the distribution of the survey questionnaire was conducted online, it is still time-consuming to get the number of 400 people to voluntarily answer the questionnaire. Most of the meeting and communication took place virtually via Google Meet and WhatsApp messengers.
Another limitation of the study is the lack of understanding of the topic that is Digital Clienting. Some researchers also find it a bit difficult to translate and adopt in the first stage of research. Most respondents may also be the first to recognize the term as the study is not widely known to everyone.
Hyper-personalisasi berada di garis depan perjalanan pelanggan, dan sekaranglah saatnya bagi perusahaan asuransi untuk mengadopsi pendekatan ini. Data riwayat dan pembelian dapat mengisolasi kasus atau . dibutuhkan oleh pengguna.. keamanan produk yang dibeli.
