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Table of Contents
CHAPTER Five: Conclusion
Conclusion
It can be concluded from the results discussed in the previous tables that the researcher gained mixed reviews on the role of Indonesian government on the promotion of social entrepreneurship. Most of the respondents reported that the government is less supportive in terms of funding provided to the social entrepreneurs, whereas, some of the respondents were in the favour that the government has supported the social entrepreneurs in the country. However, most of the respondents found it important for the government to promote the idea of innovation in their business which can eventually contribute towards the growth and development of the country. In addition to the above statement, it is recommended that the government should focus on providing adequate measures for promoting social entrepreneurship in the country.
Implications for Scope and Limitation
There were certain limitations faced during the research process as the researcher found it difficult to access a large number of respondents which is the reason only 100 responses were collected through online surveys. In addition, the scope of the research was limited to the Indonesia which helped the researcher in understanding the role of government of Indonesia in the promotion of social entrepreneurship.
Implication for Research Design
The implications for the quantitative research design were focused towards the convenience and keeping into consideration the budget and time of the researcher. The research results will also be helpful for the future researchers who wish to carry out their research in the field of social entrepreneurship with the specific focus on the Indonesia. Through this research, the researcher was able to understand the main idea behind the social entrepreneurship and how the government of Indonesian plays its role for the promotion of the social business.
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Appendix-1
Questionnaire
The main aim of this study is to critically analyse the factors affecting customer behaviour on online purchases considering the case of Chinese online retailers Jing Dong and Taobao.
- Gender
- Male
- Female
- Age
- 20– 24 years
- 25 – 29 years
- 30 – 34 years
- 35 – 39 years
- Above 40 years
Independent Variable: Factors affecting Customer Behaviour
Personal factors
- The income of the person influences his buying patterns.
- Strongly Agree
- Agree
- Neutral
- Disagree
- Strongly Disagree
- People prefer to purchase those products online which advocate their role in society.
- Strongly Agree
- Agree
- Neutral
- Disagree
- Strongly Disagree
- Purchases from online retail websites reflect a consumer lifestyle.
- Strongly Agree
- Agree
- Neutral
- Disagree
- Strongly Disagree
Social Factors
- Social class can influence behaviour of the customers on online retail websites.
- Strongly Agree
- Agree
- Neutral
- Disagree
- Strongly Disagree
- Friends and family members can influence an online purchase decision of the customers.
- Strongly Agree
- Agree
- Neutral
- Disagree
- Strongly Disagree
- Online retail stores motivate the customer to buy the products as it meets their social needs.
- Strongly Agree
- Agree
- Neutral
- Disagree
- Strongly Disagree
Psychological factors
- The consumer perception towards online products and the brand also influences his buying decision.
- Strongly Agree
- Agree
- Neutral
- Disagree
- Strongly Disagree
- Level of motivation towards online products influences the buying behaviour of the consumers.
- Strongly Agree
- Agree
- Neutral
- Disagree
- Strongly Disagree
- Online products create a positive attitude of the customers to buy the products from online retail websites.
- Strongly Agree
- Agree
- Neutral
- Disagree
- Strongly Disagree
Risk factors
- Low risk in the online retail websites can influence the customer behaviour.
- Strongly Agree
- Agree
- Neutral
- Disagree
- Strongly Disagree
- Consumer prefers to buy from those online websites which have secured payment system.
- Strongly Agree
- Agree
- Neutral
- Disagree
- Strongly Disagree
- Consumers prefer to buy from those online websites which have less product risk.
- Strongly Agree
- Agree
- Neutral
- Disagree
- Strongly Disagree
Dependent Variable: Online Purchases
- Online purchases are largely influenced by consumer attitude towards online retailing store.
- Strongly Agree
- Agree
- Neutral
- Disagree
- Strongly Disagree
- The online purchases are influence by cultural and social norms.
- Strongly Agree
- Agree
- Neutral
- Disagree
- Strongly Disagree
- The performance of the products should meet the expectation of the customers to influence online purchases.
- Strongly Agree
- Agree
- Neutral
- Disagree
- Strongly Disagree
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