Trust and commitment: Effect of applying consumer data rights on U.S. Consumers' attitudes toward online retailers in big data era

2021 ◽  
Author(s):  
Brooke Willis ◽  
Tunmin (Catherine) Jai ◽  
Mitzi Lauderdale
Keyword(s):  
Big Data ◽  
Online Retailers ◽  
Consumer Data

Intelligent Big Data Analytics

2017 ◽  
pp. 50-72 ◽  
Author(s):  
Dheeraj Malhotra ◽  
Neha Verma ◽  
Om Prakash Rishi ◽  
Jatinder Singh
Keyword(s):  
Big Data ◽  
System Design ◽  
Research Work ◽  
Big Data Analytics ◽  
Map Reduce ◽  
Time Intervals ◽  
Online Commerce ◽  
Online Purchase ◽  
Online Retailers ◽  
Novel Approaches

With the explosive increase in regular E Commerce users, online commerce companies must have more customer friendly websites to satisfy the personalized requirements of online customer to progress their market share over competition; Different individuals have different purchase requirements at different time intervals and hence novel approaches are often required to be deployed by online retailers in order to identify the latest purchase requirements of customer. This research work proposes a novel MR apriori algorithm and system design of a tool called IMSS-SE, which can be used to blend benefits of Apriori-based Map Reduce framework with Intelligent technologies for B2C E-commerce in order to assist the online user to easily search and rank various E Commerce websites which can satisfy his personalized online purchase requirement. An extensive experimental evaluation shows that proposed system can better satisfy the personalized search requirements of E Commerce users than generic search engines.

Intelligent Big Data Analytics

2018 ◽  
pp. 259-276
Author(s):  
Dheeraj Malhotra ◽  
Neha Verma ◽  
Om Prakash Rishi ◽  
Jatinder Singh
Keyword(s):  
Big Data ◽  
System Design ◽  
Research Work ◽  
Big Data Analytics ◽  
Map Reduce ◽  
Time Intervals ◽  
Online Commerce ◽  
Online Purchase ◽  
Online Retailers ◽  
Novel Approaches

With the explosive increase in regular E Commerce users, online commerce companies must have more customer friendly websites to satisfy the personalized requirements of online customer to progress their market share over competition; Different individuals have different purchase requirements at different time intervals and hence novel approaches are often required to be deployed by online retailers in order to identify the latest purchase requirements of customer. This research work proposes a novel MR apriori algorithm and system design of a tool called IMSS-SE, which can be used to blend benefits of Apriori-based Map Reduce framework with Intelligent technologies for B2C E-commerce in order to assist the online user to easily search and rank various E Commerce websites which can satisfy his personalized online purchase requirement. An extensive experimental evaluation shows that proposed system can better satisfy the personalized search requirements of E Commerce users than generic search engines.

Integrating Big Data Analytics into Advertising Curriculum

2017 ◽  
pp. 228-250
Author(s):  
Kenneth C. C. Yang ◽  
Yowei Kang
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Big Data Analytics ◽  
The World ◽  
Challenges And Opportunities ◽  
The Status ◽  
Consumer Data ◽  
Tools And Techniques ◽  
Data Analytic ◽  
Collection Methods

With the assistance of new computing technologies and consumer data collection methods, advertising professionals are capable of generating better targeted advertising campaigns. Big Data analytics are particularly worth noticing and have presented ample opportunities for advertising researchers and practitioners around the world. Although Big Data analytic courses have been offered at major universities, existing advertising curricula have yet to address the opportunities and challenges offered by Big Data. This chapter collects curricular data from major universities around the world to examine what Big Data has posed challenges and opportunities to existing advertising curricula in an international context. Curricula of 186 universities around the world are reviewed to describe the status of integrating these developments into better preparing advertising students for these changes. Findings show that only selected advertising programs in the U.S. have begun to explore the potential of the data analytics tools and techniques. Practical and educational implications are discussed.

scholarly journals Political Campaigns and Big Data

2014 ◽  
Vol 28 (2) ◽  
pp. 51-74 ◽  
Author(s):  
David W. Nickerson ◽  
Todd Rogers
Keyword(s):  
Big Data ◽  
Incomplete Information ◽  
Political Campaigns ◽  
Coordination Game ◽  
Information Campaigns ◽  
Individual Level ◽  
Individual Consumer ◽  
Political Constraints ◽  
Consumer Data ◽  
Political Behaviors

Modern campaigns develop databases of detailed information about citizens to inform electoral strategy and to guide tactical efforts. Despite sensational reports about the value of individual consumer data, the most valuable information campaigns acquire comes from the behaviors and direct responses provided by citizens themselves. Campaign data analysts develop models using this information to produce individual-level predictions about citizens' likelihoods of performing certain political behaviors, of supporting candidates and issues, and of changing their support conditional on being targeted with specific campaign interventions. The use of these predictive scores has increased dramatically since 2004, and their use could yield sizable gains to campaigns that harness them. At the same time, their widespread use effectively creates a coordination game with incomplete information between allied organizations. As such, organizations would benefit from partitioning the electorate to not duplicate efforts, but legal and political constraints preclude that possibility.

scholarly journals Sentiment Analysis through Big Data in online Retail Industry: A Conceptual Quantitative Study on linkage of Big-Data and Assortment Proactive of Online Retailers

2020 ◽  
Vol 3 (2) ◽  
pp. 16
Author(s):  
Muhammad Faisal Sultan ◽  
Mehwish Jabeen ◽  
Muhammad Adeel Mannan
Keyword(s):  
Big Data ◽  
Sentiment Analysis ◽  
Recent Trend ◽  
Retail Sector ◽  
Online Retail ◽  
Online Retailers ◽  
Data Scientist ◽  
Online Stores ◽  
Quota Sampling ◽  
The Impact

Big-Data is the recent trend in data sciences prevailing all over the globe. The tool aids significantly in optimization of knowledge and has predominant use in optimization of knowledge and productivity. However, there is lack of understanding of concept and its application in Pakistan as indicated by Gallup Pakistan (2018) and stream of data is going to be doubled in two years’ time Tankard (2012). Therefore, there is a definite need of research which optimizes understanding associated with technology and its application from the context of Pakistan. Hence considering the application of big-data in retail sector this study aims to explore the impact of sentiment analysis through relating impact of big-data with effective assortment s of online stores. Although data has been collected from IT experts associated with online retail sector via quota sampling and SMART-PLS has been incorporated for the purpose of analysis. Results of the study highlights that big-data is perceived as the major tool for the betterment of assortment in online retail stores although data scientist and their applicability might diminish the impact of the use of big-data.

scholarly journals Big-Data and Consumer Profiles – The hidden traps of data collection on social media networks

2019 ◽  
Vol 13 (1) ◽  
pp. 1070-1078
Author(s):  
Corina Pelau ◽  
Mihaela Stanescu ◽  
Daniela Serban
Keyword(s):  
Social Media ◽  
Big Data ◽  
Data Security ◽  
Intelligent Systems ◽  
Social Media Networks ◽  
Private Data ◽  
The Social ◽  
Consumer Data ◽  
Main Components ◽  
Or Applications

Abstract The development and increased popularity of the social media networks has changed the way consumers communicate and interact with each other. But besides the positive aspects regarding socializing, real-time communication and information sharing, the social media networks have also several disadvantages. Private data security, invasion of privacy, misuse of information are just some of the negative aspects associated to social media networks, of which many of the consumers are not aware. This paper gives an overview of the different methods in which private consumer data and consumer profiles are created with the help of social media networks. The paper focuses on three main components, namely the data provided by the consumers, the technologies that have the ability to collect data in an aware or unaware manner and the contribution and advantages of business in this process. The results show that some of the data are given by the consumer, while other are just gathered with the help of automated and intelligent systems or applications.

Integrating Big Data Analytics into Advertising Curriculum

2016 ◽  
pp. 131-152 ◽  
Author(s):  
Kenneth C. C. Yang ◽  
Yowei Kang
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Big Data Analytics ◽  
The World ◽  
Challenges And Opportunities ◽  
The Status ◽  
Consumer Data ◽  
Tools And Techniques ◽  
Data Analytic ◽  
Collection Methods

With the assistance of new computing technologies and consumer data collection methods, advertising professionals are capable of generating better targeted advertising campaigns. Big Data analytics are particularly worth noticing and have presented ample opportunities for advertising researchers and practitioners around the world. Although Big Data analytic courses have been offered at major universities, existing advertising curricula have yet to address the opportunities and challenges offered by Big Data. This chapter collects curricular data from major universities around the world to examine what Big Data has posed challenges and opportunities to existing advertising curricula in an international context. Curricula of 186 universities around the world are reviewed to describe the status of integrating these developments into better preparing advertising students for these changes. Findings show that only selected advertising programs in the U.S. have begun to explore the potential of the data analytics tools and techniques. Practical and educational implications are discussed.

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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