scholarly journals Research On The Architecture And Strategy Of Luxury brands Marketing Service Design Model From The Perspective Of Big Data

2020 ◽  
Vol 179 ◽  
pp. 02014
Author(s):  
Li Zhe ◽  
Liu Xueyan ◽  
Tian Huan
Keyword(s):  
Big Data ◽  
Design Theory ◽  
Social Economy ◽  
Service Design ◽  
Design Model ◽  
Luxury Brands ◽  
Brand Competitiveness ◽  
Internet Information ◽  
Marketing Service ◽  
Marketing Methods

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.

Teaching research on college English translation in the era of big data

2021 ◽  
pp. 002072092098431
Author(s):  
Yue Liu ◽  
Hongyan Bai
Keyword(s):  
Big Data ◽  
Learning Theory ◽  
English Translation ◽  
Design Theory ◽  
Colleges And Universities ◽  
Translation Process ◽  
Constructivist Learning Theory ◽  
College English ◽  
Teaching Time ◽  
Better Than

With the development of the big data era and the opening of translation majors in colleges and universities, translation teaching is gradually receiving attention. However, there are still many problems in the training of translators in colleges and universities in terms of teachers, teaching time and teaching mode. In the context of the era of big data, this article uses questionnaires and data analysis, starting from the PACTE translation ability model, combined with constructivist learning theory, blended learning theory, and instructional design theory to analyze the problems of undergraduate translation ability. This article conducts a questionnaire survey on the 2018 students of XX University’s a major, and analyzes their English scores. Students’ bilingual ability is weak, and it is difficult to consider translation under the influence of context in the translation process; their strategic ability is not ideal, and they lack the ability to solve problems when they encounter specific translation problems. The English performance of the experimental class students who have undergone English translation teaching for one semester is significantly better than the control class students who have not received English translation teaching. Teachers can combine teaching theories to design English translation teaching and cultivate students’ awareness of comparative analysis in English learning. Teachers can cultivate students’ English thinking ability, promote them to master English better, and help them improve their English application ability.

scholarly journals Accessibility and transportation: a spatial analysis of Go Transit

2021 ◽  
Author(s):  
Samantha Campana
Keyword(s):  
Spatial Analysis ◽  
Observational Study ◽  
Physical Disability ◽  
Design Theory ◽  
Qualitative Data ◽  
Service Design ◽  
Social Implications ◽  
Major Research ◽  
Social Separation

This major research paper presents a spatial analysis of GO Transit’s accessibility coach and explores accessibility and transportation using service design theory. Social implications are also investigated in order to understand the communication of spaces for those with physical disability. There are three guiding questions in this case study, which are: (1) How is the GO Train passenger carrier car designed for able and disabled riders? (2) What kinds of choices are available to able and disabled riders while using the GO Train’s accessibility coach? (3) What implications do these choices and affordances suggest about the separation of able and disabled riders? To address these questions, an observational study of the accessibility coach was conducted. The data collected yielded qualitative data that was then analyzed using concepts informed by service design theory, accessibility scholarship and social separation concepts. The findings of this study indicate that.

scholarly journals Accessibility and transportation: a spatial analysis of Go Transit

2021 ◽  
Author(s):  
Samantha Campana
Keyword(s):  
Spatial Analysis ◽  
Observational Study ◽  
Physical Disability ◽  
Design Theory ◽  
Qualitative Data ◽  
Service Design ◽  
Social Implications ◽  
Major Research ◽  
Social Separation

This major research paper presents a spatial analysis of GO Transit’s accessibility coach and explores accessibility and transportation using service design theory. Social implications are also investigated in order to understand the communication of spaces for those with physical disability. There are three guiding questions in this case study, which are: (1) How is the GO Train passenger carrier car designed for able and disabled riders? (2) What kinds of choices are available to able and disabled riders while using the GO Train’s accessibility coach? (3) What implications do these choices and affordances suggest about the separation of able and disabled riders? To address these questions, an observational study of the accessibility coach was conducted. The data collected yielded qualitative data that was then analyzed using concepts informed by service design theory, accessibility scholarship and social separation concepts. The findings of this study indicate that.

scholarly journals A review of international pharmacy-based minor ailment services and proposed service design model

2018 ◽  
Vol 14 (11) ◽  
pp. 989-998 ◽  
Author(s):  
Mariyam Aly ◽  
Victoria García-Cárdenas ◽  
Kylie Williams ◽  
Shalom I. Benrimoj
Keyword(s):  
Service Design ◽  
Design Model ◽  
Minor Ailment ◽  
International Pharmacy

The use of social media by higher education institutions

2020 ◽  
Vol 65 (2) ◽  
pp. 30-42
Author(s):  
Jacek Maślankowski ◽  
Łukasz Brzezicki
Keyword(s):  
Higher Education ◽  
Social Media ◽  
Big Data ◽  
Competitive Advantage ◽  
Full Advantage ◽  
Higher Education Institutions ◽  
Marketing Activities ◽  
Use Of Social Media ◽  
Marketing Methods

Higher education institutions have been using, to an increasing extent, various marketing methods and tools, which are becoming a decisive factor in building their competitive advantage and achieving success. In order to initiate and maintain long-term relationships with their communities and to conduct other marketing activities, higher education institutions have been increasingly often using social media, which has enabled them to actively create their image. The aim of this study is to utilize big data methods and tools to measure the scale of the use of social media by the higher education sector. The research carried out in the first quarter of 2019 demonstrates that large higher education institutions, i.e. those with over 1696 students (according to the adopted classification), use social media to communicate current news to a larger extent than the smaller ones. A significantly smaller percentage of mediumsized higher education institutions (223-1695 students) and small ones (up to 222 students) have accounts in social media, thus failing to take full advantage of the potential of these media. Higher education institutions use social media mainly to promote events they organise.

scholarly journals An Analysis of Community Group Buying Behavior of Urban Residents Based on Big Data

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Nanxin Huang ◽  
Kexin Yu ◽  
Cheng Chen
Keyword(s):  
Big Data ◽  
Binary Logistic Regression ◽  
Shopping Behavior ◽  
Urban Residents ◽  
Buying Behavior ◽  
Binary Logistic Regression Model ◽  
Community Group ◽  
Group Buying ◽  
Different Types ◽  
Marketing Methods

By using keywords crawled by big data as a survey reference, this research applied latent category clustering method and binary logistic regression model analysis method to analyze the differences in community group buying behaviors of residents from different city scale and summarize the shopping behavior and features of different types of residents, for the purpose of offering advice on different marketing methods for different types of urban residents, so as to realize the precise marketing of community e-commerce and promote the further development of the industry.

scholarly journals Research on Internet Information Security in the Big Data Era

2020 ◽  
Vol 218 ◽  
pp. 04008
Author(s):  
Yang Shen
Keyword(s):  
Big Data ◽  
Information Security ◽  
Data Transmission ◽  
Work Experience ◽  
Personal Information ◽  
Great Influence ◽  
Public Security ◽  
Security Systems ◽  
Internet Information ◽  
Big Data Technology

In the era of big data, due to the great influence of big data itself, Internet information security has also become the focus of attention. In order to avoid disturbing people’s lives, this article summarizes the opportunities and challenges in the era of big data based on previous work experience. This article analyzes and studies five aspects including establishing complete laws and regulations, protecting personal information, applying big data technology to public security systems, doing a good job in data management and classification, and ensuring the security of data transmission. The author discusses specific measures for the maintenance of Internet information security in the era of big data from the above five aspects.

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