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Xia, Tian, 2016. The power of big data : how big data affects organizational performance in Chinese dairy industry. Second cycle, A2E. Uppsala: SLU, Dept. of Economics



The popularity of Big data system has increased in recent years due to the high speed and huge volume. Big data has changed firms the way to evaluate the marketplace, research customer demands and reconsider their business performance. Big data now is able to renovate the business model and reshape the structure in the market. In recent years, Big data has greatly influenced the organizational model in the Chinese dairy industry. But how the Chinese dairy firms grasp the Big data development opportunity and what results would it be?
The objective of the study is to identify with the current insight on which level the dairy companies in China are initiated with Big data in order to investigate on how Big data can affect the organizational performance. And also to investigate what are the advantages and challenges for using Big data as well as the how Big data influences the decision-making in reality.
For the theoretical part in this study, the focus is on organizational theory, the concept of digital technology, characteristics of Big data and business impacts of Big data. The qualitative research methods including literature review and in-depth interview have been used to know the situation of Big data implementation in Chinese dairy industry. The information management cycle has been used to the research in order to describe the empirical results.
The research analysis has discovered that Big data allows dairy firms to add value to customers and decision-making process. However, Big data will raise the risk of disclosing the corporate privacy information and high costs for establishing Big data system will place a burden for most of the small dairy firms.

Main title:The power of big data
Subtitle:how big data affects organizational performance in Chinese dairy industry
Authors:Xia, Tian
Supervisor:Karantininis, Konstantinos
Examiner:Hakelius, Karin
Series:Examensarbete / SLU, Institutionen för ekonomi
Volume/Sequential designation:1054
Year of Publication:2016
Level and depth descriptor:Second cycle, A2E
Student's programme affiliation:NM005 Environmental Economics and Management - Master's Programme 120 HEC
Supervising department:(NL, NJ) > Dept. of Economics
Keywords:big data, business impacts, digital technology, information management
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Subject. Use of subject categories until 2023-04-30.:Organization, administration and management of agricultural enterprises or farms
Deposited On:07 Dec 2016 09:56
Metadata Last Modified:07 Dec 2016 09:56

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