Big Data From Management Perspective

Web Services ◽  
2019 ◽  
pp. 2060-2074
Author(s):  
Alireza Bolhari
Keyword(s):  
Social Media ◽  
Big Data ◽  
Ethical Issues ◽  
Banking System ◽  
Mobile Sensors ◽  
Complex Data ◽  
Management Perspective ◽  
Public Sectors

Competency matters. Social media, customer transactions, mobile sensors, and feedback contents are all piled up with data. This might be unstructured and complex data in voluminous quantity, often called Big Data. However, if this Big Data is managed, it might bring competency for organizations. This chapter introduces the must-know concepts and materials for organizational managers who face Big Data. Through the chapter, Big Data is defined and its emergence over the time is reviewed. The four Vs model in Big Data literature and its link to a banking system is analyzed. The chapter concludes by making a managerial awareness concerning ethical issues in Big Data. This is of high priority in public sectors as data relies for every individual in the society.

Big Data from Management Perspective

2016 ◽  
pp. 92-106
Author(s):  
Alireza Bolhari
Keyword(s):  
Social Media ◽  
Big Data ◽  
Ethical Issues ◽  
Banking System ◽  
Mobile Sensors ◽  
Complex Data ◽  
Management Perspective ◽  
Public Sectors

Competency matters. Social media, customer transactions, mobile sensors, and feedback contents are all piled up with data. This might be unstructured and complex data in voluminous quantity, often called Big Data. However, if this Big Data is managed, it might bring competency for organizations. This chapter introduces the must-know concepts and materials for organizational managers who face Big Data. Through the chapter, Big Data is defined and its emergence over the time is reviewed. The four Vs model in Big Data literature and its link to a banking system is analyzed. The chapter concludes by making a managerial awareness concerning ethical issues in Big Data. This is of high priority in public sectors as data relies for every individual in the society.

Big Data Ethics in Social Media-- A Case Study of Evaluating Websites

2020 ◽  
Vol 10 (1) ◽  
pp. 14-31
Author(s):  
Yueming Niu ◽  
Yulin Yao
Keyword(s):  
Social Media ◽  
Big Data ◽  
Ethical Issues ◽  
Personal Information ◽  
Information Protection ◽  
Qualitative And Quantitative Analysis ◽  
Hidden Information ◽  
Qualitative And Quantitative ◽  
Data Ethics

This article combines qualitative and quantitative analysis to study the ethical issues of Big Data in social media, especially in evaluating websites. First, this article discusses the Big Data ethics of evaluation websites, and finds that there are some problems in the evaluation websites, such as false information, hidden information, and lack of user information protection. Second, this article uses questionnaires to investigate the awareness of users of different genders and ages on the evaluation website and their personal information protection consciousness.

Protecting Vulnerable Groups in Big Data Research (Preprint)

2021 ◽  
Author(s):  
David Shaw ◽  
Christophe Schneble ◽  
Marie-Laure Van Delden ◽  
Bernice Elger
Keyword(s):  
Social Media ◽  
Big Data ◽  
Direct Contact ◽  
Ethical Issues ◽  
Vulnerable Groups ◽  
Vulnerable Group ◽  
Indirect Contact ◽  
The World

UNSTRUCTURED Social media presents great opportunities for internet-mediated research (IMR) using big data. Millions of participants all over the world, each with colossal amount of data associated with their online accounts, can be accessed very easily, without any direct contact - or even indirect contact - between researcher and participants. But with these opportunities come substantial responsibilities. The immense distance between researchers and participants - and often between participants and any knowledge that the research is even being conducted - raises significant ethical issues that must be carefully considered before embarking on such research. This is particularly true for vulnerable groups involved in IMR, as the distance between researcher and participant is so great that the researcher might have no idea that some participants are children, or depressed, or in another vulnerable group.

DYNAMIC EXTRACTION AND ANALYTICS OF BIG DATA FROM CLOUD AND SOCIAL MEDIA INTEGRATED PLATFORMS

2020 ◽  
Vol 9 (6) ◽  
pp. 3703-3711
Author(s):  
N. Oberoi ◽  
S. Sachdeva ◽  
P. Garg ◽  
R. Walia
Keyword(s):  
Social Media ◽  
Big Data ◽  
Dynamic Extraction

Citizens, Elites, and Social Media Methodological Challenges and Opportunities in the Study of Persuasion and Mobilization

2019 ◽  
pp. 1036-1058
Author(s):  
Philip Habel ◽  
Yannis Theocharis
Keyword(s):  
Social Media ◽  
Big Data ◽  
Supply And Demand ◽  
Political Process ◽  
The Political ◽  
The Novel ◽  
Complete Understanding ◽  
Social Media Data ◽  
Challenges And Opportunities ◽  
Media Data

In the last decade, big data, and social media in particular, have seen increased popularity among citizens, organizations, politicians, and other elites—which in turn has created new and promising avenues for scholars studying long-standing questions of communication flows and influence. Studies of social media play a prominent role in our evolving understanding of the supply and demand sides of the political process, including the novel strategies adopted by elites to persuade and mobilize publics, as well as the ways in which citizens react, interact with elites and others, and utilize platforms to persuade audiences. While recognizing some challenges, this chapter speaks to the myriad of opportunities that social media data afford for evaluating questions of mobilization and persuasion, ultimately bringing us closer to a more complete understanding Lasswell’s (1948) famous maxim: “who, says what, in which channel, to whom, [and] with what effect.”

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