Understanding Consumer-Generated Content About Luxury Brands Using Big Data: An Abstract

Author(s):  
Xia Liu ◽  
Alvin Burns
Keyword(s):  
Big Data ◽  
2020 ◽  
Vol 179 ◽  
pp. 02014
Author(s):  
Li Zhe ◽  
Liu Xueyan ◽  
Tian Huan

With the development of social economy and the continuous popularization of Internet information technology, luxury brands marketing has improved brand competitiveness by combining new marketing methods in this era. Based on this, the purpose of this article is to use service design to improve the precise marketing strategy of luxury brands, and to study the current situation of luxury brands marketing and service design theory in the era of big data. Combining the existing research results of service design with the unique attributes of luxury brands marketing, by establishing the implementation path and theoretical model of introducing service design into luxury brands marketing, verifying the important role of service design in luxury brands marketing, and from this put forward the design model and feasibility strategies of marketing services for luxury brands.


2016 ◽  
Vol 18 (1) ◽  
pp. 1-14 ◽  
Author(s):  
Sung Soo Kim ◽  
Young Sam Kim

2021 ◽  
Vol 235 ◽  
pp. 01075
Author(s):  
Xiong Kai

As a big consumer of luxury brands, China has entered a period of rapid transformation under the impact of millennials and fashion brands. With the development of economy and the popularization of education, more and more people begin to purchase rationally, and consumers’ understanding of consumption is also gradually diversified. Based on the big data analysis of consumers’ attitude towards brand alliance, this paper puts forward some suggestions for the development of luxury brand and fashion brand in the future.


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

Find Out About 'Big Data' to Track Outcomes


2014 ◽  
Vol 35 (3) ◽  
pp. 158-165 ◽  
Author(s):  
Christian Montag ◽  
Konrad Błaszkiewicz ◽  
Bernd Lachmann ◽  
Ionut Andone ◽  
Rayna Sariyska ◽  
...  

In the present study we link self-report-data on personality to behavior recorded on the mobile phone. This new approach from Psychoinformatics collects data from humans in everyday life. It demonstrates the fruitful collaboration between psychology and computer science, combining Big Data with psychological variables. Given the large number of variables, which can be tracked on a smartphone, the present study focuses on the traditional features of mobile phones – namely incoming and outgoing calls and SMS. We observed N = 49 participants with respect to the telephone/SMS usage via our custom developed mobile phone app for 5 weeks. Extraversion was positively associated with nearly all related telephone call variables. In particular, Extraverts directly reach out to their social network via voice calls.


2017 ◽  
Vol 225 (3) ◽  
pp. 287-288
Keyword(s):  

An associated conference will take place at ZPID – Leibniz Institute for Psychology Information in Trier, Germany, on June 7–9, 2018. For further details, see: http://bigdata2018.leibniz-psychology.org


PsycCRITIQUES ◽  
2014 ◽  
Vol 59 (2) ◽  
Author(s):  
David J. Pittenger
Keyword(s):  

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