scholarly journals Information needs of financial market professionals in the big data and social media era. The empirical evidence from Poland

e-Finanse ◽  
2017 ◽  
Vol 13 (4) ◽  
pp. 1-13
Author(s):  
Andrzej Cwynar ◽  
Wiktor Cwynar ◽  
Robert Pater ◽  
Piotr Kaźmierkiewicz
Keyword(s):  
Social Media ◽  
Big Data ◽  
Financial Market ◽  
Regression Models ◽  
Information Needs ◽  
Large Degree ◽  
Key Factors ◽  
Logit Regression ◽  
Degree Of Satisfaction ◽  
Survey Results

AbstractTo meet general objectives of the article, i.e. to check the extent to which the information needs of financial market institutions are satisfied, and to learn about whether there is a transition in this realm triggered by the advent of social media and big data, we surveyed a sample of 415 financial market professionals working in Poland. We also used logit regression models, through which we processed the survey results, to identify which factors are responsible for meeting the needs. We showed that although the information needs of financial market professionals are met to a large degree, still some potential for improvement remains in this regard. We found also that respondent-specific traits are insignificant in explaining the degree of satisfaction with data and information that is used by financial market professionals. Out of firm-specific characteristic and, the value of assets under the institution’s management turned out to be the key factors explaining the distribution of responses concerning satisfaction.

scholarly journals Can Social Media Content Increase Financial Market Returns? Survey Results from Poland

Organizacija ◽  
2017 ◽  
Vol 50 (2) ◽  
pp. 97-111
Author(s):  
Andrzej Cwynar ◽  
Wiktor Cwynar ◽  
Robert Pater
Keyword(s):  
Social Media ◽  
Financial Market ◽  
Media Content ◽  
Content Increase ◽  
Market Returns ◽  
Market Theory ◽  
Job Experience ◽  
Market Participants ◽  
Survey Results ◽  
The Media

Abstract Background and Purpose: In recent years classic financial market theory based on decision makers’ rationality has been challenged by repeated anomalies that became a ‘new normal’. As a result, what we witness today is a considerable turn to behavioral concepts that can shed a new light on choices made by market participants. The astonishing development of social media accelerated scientific validation of such concepts, since the media opened new and capacious ‘laboratory space’ for testing behavioral hypotheses. The main purpose of the article is to examine whether financial market professionals believe that social media content can be useful in achieving additional financial market returns and to investigate the factors behind this belief. Design/Methodology/Approach: We surveyed a sample of over 400 financial market professionals at institutions operating in Poland, and analyzed the results using logit regression models. Results: We established that almost 60% of the surveyed finance professionals recognized the potential of social media for achieving additional returns. We also found out that the differences in respondents’ perception of this potential could be explained mainly by heterogeneity of their job experience and, to a lesser degree, by their job position. Interestingly, more experienced individuals were less likely to recognize this potential. Firm-specific factors did not have a significant effect on the dependent variable. Conclusion: The opinions of financial market professionals regarding the link between social media and additional returns are mixed, which is consistent with the current body of evidence brought by sentiment-based research. Our findings confirm the key role of previous experience in explaining attitudes towards novelties and innovations (such as social media), a phenomenon known from other fields and everyday experience.

scholarly journals A Framework to Evaluate Big Data Fabric Tools

2021 ◽  
pp. 180-191
Author(s):  
Ângela Alpoim ◽  
João Lopes ◽  
Tiago André Saraiva Guimarães ◽  
Carlos Filipe Portela ◽  
Manuel Filipe Santos
Keyword(s):  
Big Data ◽  
Data Integration ◽  
Information Needs ◽  
Key Factors ◽  
Large Dataset ◽  
New Methods ◽  
Different Types ◽  
Major Data

A huge growth in data and information needs has led organizations to search for the most appropriate data integration tools for different types of business. The management of a large dataset requires the exploitation of appropriate resources, new methods, as well as the possession of powerful technologies. That led the surge of numerous ideas, technologies, and tools offered by different suppliers. For this reason, it is important to understand the key factors that determine the need to invest in a big data project and then categorize these technologies to simplify the choice that best fits the context of their problem. The objective of this study is to create a model that will serve as a basis for evaluating the different alternatives and solutions capable of overcoming the major challenges of data integration. Finally, a brief analysis of three major data fabric solutions available on the market is also carried out, including Talend Data Fabric, IBM Infosphere, and Informatica Platform.

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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