scholarly journals A Study on Marketing Innovation of New Tourist Demands in the Age of Big Data

2018 ◽  
Keyword(s):  
Big Data ◽  
Marketing Innovation

scholarly journals Interactive Marketing E-Commerce Recommendation System Driven by Big Data Technology

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Yi Fu ◽  
Min Yang ◽  
Di Han
Keyword(s):  
Big Data ◽  
Recommendation System ◽  
Reference Model ◽  
Relevant Literature ◽  
Force Model ◽  
Interactive Marketing ◽  
Marketing Innovation ◽  
Interactive Relationship ◽  
The Media ◽  
Big Data Technology

This study combs through relevant literature, adopts a combination of typical sampling and random sampling, collects three big data technology-driven interactive marketing e-commerce companies in a specific period of Sina Weibo sample data for research, obtains historical information and data, and constructs a model. Through relevant analysis to eliminate invalid variables, we creatively selected three variables of Internet hot words, activities, and microtopics as independent variables and used marketing effects as dependent variables to carry out empirical analysis and study the marketing innovation of three representative companies based on big data technology. We discussed the use of self-media in interactive marketing e-commerce and the situation of marketing innovation based on self-media, focusing on the interactive relationship between marketing innovation and Internet word-of-mouth (brand image). Through research, we have derived the three-force model, which is the biggest result of this research, and provided a reference model for interactive marketing e-commerce companies to carry out follow-up marketing innovation based on the media. Limited to the level of research and ability, there are some deficiencies in the research, such as barrage marketing, big data marketing, and emotional computing, that have not been analyzed in depth. This article fully considers the dependence of small and medium e-commerce companies on e-commerce platforms in the era of big data and conducted detailed market research on their precision marketing strategies in the era of big data. This will be a new field that does not come from media marketing. This article intends to summarize a series of experiences and laws from special to general, from individuality to generality, so as to give full play to the role of personalized marketing in increasing website traffic and order conversion, in order to personalize the use of data by other e-commerce companies with marketing provides some valuable experiences and methods for reference.

scholarly journals Analysis of Marketing Innovation Under the New Retail Mode-Taking “Luckin coffee” as an Example

2021 ◽  
Vol 235 ◽  
pp. 01074
Author(s):  
Siyu Wei
Keyword(s):  
Big Data ◽  
Operation Mode ◽  
Marketing Strategies ◽  
Consumption Patterns ◽  
Service Process ◽  
Strong Impact ◽  
Fully Integrated ◽  
Marketing Innovation ◽  
Data Prediction ◽  
Differentiated Marketing

With the rise of high-end technologies such as artificial intelligence and big data, many new consumption patterns are constantly emerging, from offline retail to online e-commerce and then to a New Retail mode combining online e-commerce, offline and logistics. The New Retail mode not only brings a strong impact to the traditional retail industry, but also provides many enterprises with new operation and marketing ideas. The research object selected by the author is Luckin coffee, a representative enterprise of the New Retail mode, by analyzing the operation mode of “online APP+ offline store + logistics” used by Luckin coffee and the marketing method implemented under this mode, the innovation of Luckin coffee’s marketing method is concluded, including Viral social fission marketing, Innovation of service process, Big data differentiated marketing, Novel scene positioning, Omni-channel retail, which can provide some ideas such as Social fission, Big data prediction, differentiated marketing, Fully integrated channels and so on for other traditional retail enterprises to reform and new Retail enterprises to formulate marketing strategies.

scholarly journals Enterprise Commodity Marketing Innovation Based on Big Data Mining Technology

CONVERTER ◽  
2021 ◽  
pp. 613-619
Author(s):  
Feng Jun
Keyword(s):  
Data Mining ◽  
Big Data ◽  
Association Rule ◽  
Current Data ◽  
Marketing Channels ◽  
Marketing Strategies ◽  
Mining Technology ◽  
Valuable Data ◽  
Marketing Innovation ◽  
Big Data Mining

The advent of the era of big data has brought many opportunities and challenges to the marketing of enterprises. Enterprises should develop marketing channels according to the requirements of the market. At the same time, enterprises further mine valuable data information, so as to improve customer satisfaction for enterprise products. This paper analyzes the opportunities and challenges brought by the era of big data to the marketing market of enterprises, and explores how to innovate the marketing strategies of enterprises. This paper describes the background of the current data mining and the main data mining technology in this field. Then, it focuses on the association rule algorithm which is widely used in knowledge data mining technology and its application in marketing strategy.

Possibilities, Impediments, and Challenges for Network Security in Big Data

2016 ◽  
pp. 94-103
Author(s):  
Anuj Kumar Dwivedi ◽  
O. P. Vyas
Keyword(s):  
Big Data ◽  
Network Security ◽  
High Performance ◽  
Network Capacity ◽  
Vital Role ◽  
Computing Systems ◽  
Marketing Innovation ◽  
Industrial Enterprises ◽  
Deep Focus ◽  
Enterprise Security

With the time, Big Data became the core competitive factor for enterprises to develop and grow. Some enterprises such as, information industrial enterprises will put more focus on the technology or product innovation for solving the challenges of big data, i.e., capture, storage, analysis and application. Enterprises like, manufacturing, banking and other enterprises will also benefit from analysis and manage big data, and be provided more opportunities for management innovation, strategy innovation or marketing innovation. High performance network capacity provides the backbone for high end computing systems. These high end computing systems plays vital role in Big Data. Persistent and Sophisticated targeted network attacks have challenged today's enterprise security teams. By exploring each aspect of high performance network capacity, the major objective of this book chapter is to present fundamental theoretical aspects in analytical way with deep focus on possibilities, impediments and challenges for network security in Big Data.

Possibilities, Impediments, and Challenges for Network Security in Big Data

2020 ◽  
pp. 823-832
Author(s):  
Anuj Kumar Dwivedi ◽  
O. P. Vyas
Keyword(s):  
Big Data ◽  
Network Security ◽  
High Performance ◽  
Network Capacity ◽  
Vital Role ◽  
Computing Systems ◽  
Marketing Innovation ◽  
Industrial Enterprises ◽  
Deep Focus ◽  
Enterprise Security

With the time, Big Data became the core competitive factor for enterprises to develop and grow. Some enterprises such as, information industrial enterprises will put more focus on the technology or product innovation for solving the challenges of big data, i.e., capture, storage, analysis and application. Enterprises like, manufacturing, banking and other enterprises will also benefit from analysis and manage big data, and be provided more opportunities for management innovation, strategy innovation or marketing innovation. High performance network capacity provides the backbone for high end computing systems. These high end computing systems plays vital role in Big Data. Persistent and Sophisticated targeted network attacks have challenged today's enterprise security teams. By exploring each aspect of high performance network capacity, the major objective of this book chapter is to present fundamental theoretical aspects in analytical way with deep focus on possibilities, impediments and challenges for network security in Big Data.

Find Out About 'Big Data' to Track Outcomes

ASHA Leader ◽  
2013 ◽  
Vol 18 (2) ◽  
pp. 59-59
Keyword(s):  
Big Data

Find Out About 'Big Data' to Track Outcomes

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