Here are some Multiple Topics in different topics and disciplines such as Economic, IT, Business and finance, Sociology, Marketing and statistics
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Get Help Now!Topic: How do interest rates affect consumption and economics growth in UK?
Challenges Encountered by SMEs When Adopting an E-Business Strategy
Question：The future application and advantages of textile facade in shanghai context
Subject：Information Management
Question：
Demographic variables (age & gender) influence the consumers’ information-seeking behavior in clothing category of Taobao.com
Clothing and other items produced by using child labor should not be imported and sold in Canada or the United States
In the general Ledger there is the mention of the sales tax pay why has it not been considered as an expense
Topic: Does the project management activities meet the ever changing requirement of tomorrow’s business?
Topic: Developing an entry strategy for an e-Health start-up. Health and Wellness Smart Card System: a case study to validate the potential use of an individual Health Records Management on a worldwide scale
Topic: The use of Mediation in Project Management in Some Chinese companies
Topic: Impact of Terrorism on Universities in Pakistan
Topic: The relationship between quality of website and customer satisfaction (ASOS and Zara)
Topic: Overcoming Cultural Differences in the English Language Classroom
Overcoming Cultural Differences in the English Language Classroom: How Foreign English Language Teachers Adapt to Cultural Differences in the Kingdom of Saudi Arabia.
Topic: What are the correlations between height and status attainment in UK males
Topic: What is the Turkish foreign policy in the Middle East during the AKP Era and how did the role of Turkey change in the region?
A thesis that needs to use STATA statistical analysis software in order to analyse the correlation between how tall an english man is and how likely they are to advance in society. The variables of education, occupation and income are used to show how “high up” in society an individual is. The variables can be split as above and below the national average (e.g. how tall is someone earning below average income and how tall is someone earning above) or simply remain as consecutive numbers (e.g. a person earning 10,000 is Xcm tall, a person earning 100,000 is Xcm tall, etc.). I will provide some of the basic background for the topic and a data set that must be used.
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