Social Media Intelligence for Business

2016 ◽  
Vol 6 (4) ◽  
pp. 19-44 ◽  
Author(s):  
Sérgio Maravilhas
Keyword(s):  
Decision Making ◽  
Social Media ◽  
New Product ◽  
Service Development ◽  
Decision Making Process ◽  
Quality Of Information ◽  
Work Sharing ◽  
Product Service ◽  
Social Media Intelligence

Social Media intelligence allow the knowledge of competitor's moves and the analysis of trends from the communications exchanged in the networks of individual consumers, making it easy for companies to develop solutions according to their clients and prospects desires. There are several characteristics that describe the quality of information that will allow the analysis of the value of the information used. Information is an important aid in the decision making process and must be of quality to improve its value. Marketing trends and competitive information is needed to clear decision-making about what products develop, for what customers, at what cost, through which distribution channels, reducing the uncertainty that a new product/service development always brings. Learning how to extract quality information, unbiased, valuable for business, from these social tools is the aim of this work, sharing with the interested parties some ways of using it for their profit and competitive sustainability.

Applying Social Media Intelligence for Successful Business Management

2019 ◽  
pp. 1-30
Author(s):  
Sérgio Maravilhas
Keyword(s):  
Decision Making ◽  
Social Media ◽  
Business Management ◽  
New Product ◽  
Distribution Channels ◽  
Service Development ◽  
Quality Of Information ◽  
Product Service ◽  
Social Media Intelligence

Marketing trends and competitive information is needed for clear decision making about what products to develop for what customers, at what cost, and through which distribution channels, reducing the uncertainty that a new product/service development always brings. There are several characteristics that describe the quality of information that will allow the analysis of the value of the information used. Information is an important aid in the decision-making process and must be of quality to improve its value. Social media intelligence allows the knowledge of competitors' moves and the analysis of trends from the communications exchanged in the networks of individual consumers, making it easy for companies to develop solutions according to their clients and prospects desires. Learning how to extract quality, unbiased, valuable information from these social tools is the aim of this chapter.

Social Media Intelligence for Business

2018 ◽  
pp. 383-411
Author(s):  
Sérgio Maravilhas
Keyword(s):  
Decision Making ◽  
Social Media ◽  
Distribution Channels ◽  
Service Development ◽  
Quality Information ◽  
Quality Of Information ◽  
Work Sharing ◽  
Product Service ◽  
Social Media Intelligence

Social Media intelligence allow the knowledge of competitor's moves and the analysis of trends from the communications exchanged in the networks of individual consumers, making it easy for companies to develop solutions according to their clients and prospects desires. There are several characteristics that describe the quality of information that will allow the analysis of the value of the information used. Information is an important aid in the decision making process and must be of quality to improve its value. Marketing trends and competitive information is needed to clear decision-making about what products develop, for what customers, at what cost, through which distribution channels, reducing the uncertainty that a new product/service development always brings. Learning how to extract quality information, unbiased, valuable for business, from these social tools is the aim of this work, sharing with the interested parties some ways of using it for their profit and competitive sustainability.

Social Media Tools for Quality Business Information

2018 ◽  
pp. 883-912 ◽  
Author(s):  
Sérgio Maravilhas
Keyword(s):  
Decision Making ◽  
Social Media ◽  
Raw Material ◽  
Service Development ◽  
Quality Information ◽  
Work Sharing ◽  
Product Service ◽  
Social Media Tools ◽  
Globalized World

Information, as a tool to reduce uncertainty and to develop knowledge in organizations, is an important aid in the decision-making process and must be of quality to improve its value. We are living in an information society where organizational and personal life are mediated by information and knowledge, with the help of technologies that gather, disseminate, and deliver that raw material to support our decisions. There are several characteristics that describe the quality of information that will allow the analysis of the value of the information used. In the globalized world we are living in, quality information warrants best results when competing with other organizations. Its value is related to the results that it will allow to be obtained and the dependability on its context. Marketing trends and competitive information is needed for clear decision making about what products to develop, for what customers, at what cost, through which distribution channels, reducing the uncertainty that a new product/service development always brings with it. Social Media tools allow the knowledge of competitor's moves and the analysis of trends from the communications exchanged in the networks of individual consumers, making it easy for companies to develop solutions according to their clients and prospects desires. Learning how to extract quality information, unbiased, valuable for business, from these social tools is the aim of this work, sharing with the interested parties some ways of using it for their profit and competitive sustainability.

Social Media Tools for Quality Business Information

2015 ◽  
pp. 636-662
Author(s):  
Sérgio Maravilhas
Keyword(s):  
Decision Making ◽  
Social Media ◽  
Raw Material ◽  
Service Development ◽  
Quality Information ◽  
Work Sharing ◽  
Product Service ◽  
Social Media Tools ◽  
Globalized World

Information, as a tool to reduce uncertainty and to develop knowledge in organizations, is an important aid in the decision-making process and must be of quality to improve its value. We are living in an information society where organizational and personal life are mediated by information and knowledge, with the help of technologies that gather, disseminate, and deliver that raw material to support our decisions. There are several characteristics that describe the quality of information that will allow the analysis of the value of the information used. In the globalized world we are living in, quality information warrants best results when competing with other organizations. Its value is related to the results that it will allow to be obtained and the dependability on its context. Marketing trends and competitive information is needed for clear decision making about what products to develop, for what customers, at what cost, through which distribution channels, reducing the uncertainty that a new product/service development always brings with it. Social Media tools allow the knowledge of competitor's moves and the analysis of trends from the communications exchanged in the networks of individual consumers, making it easy for companies to develop solutions according to their clients and prospects desires. Learning how to extract quality information, unbiased, valuable for business, from these social tools is the aim of this work, sharing with the interested parties some ways of using it for their profit and competitive sustainability.

Social Media Tools for Quality Business Information

2014 ◽  
pp. 167-193 ◽  
Author(s):  
Sérgio Maravilhas
Keyword(s):  
Decision Making ◽  
Social Media ◽  
Raw Material ◽  
Service Development ◽  
Quality Information ◽  
Work Sharing ◽  
Product Service ◽  
Social Media Tools ◽  
Globalized World

Information, as a tool to reduce uncertainty and to develop knowledge in organizations, is an important aid in the decision-making process and must be of quality to improve its value. We are living in an information society where organizational and personal life are mediated by information and knowledge, with the help of technologies that gather, disseminate, and deliver that raw material to support our decisions. There are several characteristics that describe the quality of information that will allow the analysis of the value of the information used. In the globalized world we are living in, quality information warrants best results when competing with other organizations. Its value is related to the results that it will allow to be obtained and the dependability on its context. Marketing trends and competitive information is needed for clear decision making about what products to develop, for what customers, at what cost, through which distribution channels, reducing the uncertainty that a new product/service development always brings with it. Social Media tools allow the knowledge of competitor’s moves and the analysis of trends from the communications exchanged in the networks of individual consumers, making it easy for companies to develop solutions according to their clients and prospects desires. Learning how to extract quality information, unbiased, valuable for business, from these social tools is the aim of this work, sharing with the interested parties some ways of using it for their profit and competitive sustainability.

Uberization of Healthcare

2018 ◽  
pp. 87-93
Author(s):  
Lizette Alvarez
Keyword(s):  
Decision Making ◽  
Health Literacy ◽  
Traditional Medicine ◽  
Decision Making Process ◽  
Time Cost ◽  
Quality Of Information ◽  
Public And Private ◽  
Use Of Technology ◽  
Rapid Spread

Over the years, health literacy has embodied various forms to aid healthcare decisions. For technology and health literacy to merge, the author examines and discusses how the following three elements can be applied to implement a type of technology and to what audience: 1) time, 2) cost, and 3) engagement. Through focused time, cost, and engagement efforts, healthcare can be optimized without reductions to the quality of information. Due to its rapid spread, information could to be fixed accordingly. This would positively impact the decision-making process for communities and public and private sectors. Benefits outweigh risks related to the implementation of technology and health literacy. Traditional medicine is known to have difficulties adapting to change. However, the risk is too high not to explore the use of technology and health literacy.

scholarly journals Wise or mad crowds? The cognitive mechanisms underlying information cascades

2020 ◽  
Vol 6 (29) ◽  
pp. eabb0266 ◽  
Author(s):  
Alan N. Tump ◽  
Timothy J. Pleskac ◽  
Ralf H. J. M. Kurvers
Keyword(s):  
Decision Making ◽  
Social Systems ◽  
Decision Making Process ◽  
Information Cascades ◽  
Drift Diffusion Model ◽  
Cognitive Mechanisms ◽  
Quality Of Information ◽  
The Social ◽  
Social Decision Making

Whether getting vaccinated, buying stocks, or crossing streets, people rarely make decisions alone. Rather, multiple people decide sequentially, setting the stage for information cascades whereby early-deciding individuals can influence others’ choices. To understand how information cascades through social systems, it is essential to capture the dynamics of the decision-making process. We introduce the social drift–diffusion model to capture these dynamics. We tested our model using a sequential choice task. The model was able to recover the dynamics of the social decision-making process, accurately capturing how individuals integrate personal and social information dynamically over time and when their decisions were timed. Our results show the importance of the interrelationships between accuracy, confidence, and response time in shaping the quality of information cascades. The model reveals the importance of capturing the dynamics of decision processes to understand how information cascades in social systems, paving the way for applications in other social systems.

Uberization of Healthcare

2022 ◽  
pp. 498-504
Author(s):  
Lizette Alvarez
Keyword(s):  
Decision Making ◽  
Health Literacy ◽  
Traditional Medicine ◽  
Decision Making Process ◽  
Time Cost ◽  
Quality Of Information ◽  
Public And Private ◽  
Use Of Technology ◽  
Rapid Spread

Over the years, health literacy has embodied various forms to aid healthcare decisions. For technology and health literacy to merge, the author examines and discusses how the following three elements can be applied to implement a type of technology and to what audience: 1) time, 2) cost, and 3) engagement. Through focused time, cost, and engagement efforts, healthcare can be optimized without reductions to the quality of information. Due to its rapid spread, information could to be fixed accordingly. This would positively impact the decision-making process for communities and public and private sectors. Benefits outweigh risks related to the implementation of technology and health literacy. Traditional medicine is known to have difficulties adapting to change. However, the risk is too high not to explore the use of technology and health literacy.

scholarly journals Wise or mad crowds? The cognitive mechanisms underlying information cascades

2019 ◽  
Author(s):  
Alan Novaes Tump ◽  
Timothy Joseph Pleskac ◽  
Ralf Kurvers
Keyword(s):  
Decision Making ◽  
Social Systems ◽  
Decision Making Process ◽  
Information Cascades ◽  
Drift Diffusion Model ◽  
Cognitive Mechanisms ◽  
Quality Of Information ◽  
The Social ◽  
Social Decision Making

Whether getting vaccinated, buying stocks, or crossing streets, people rarely make decisions alone. Rather, multiple people decide sequentially, setting the stage for information cascades whereby early-deciding individuals can influence others' choices. To understand how information cascades through social systems, it is essential to capture the dynamics of the decision-making process. We introduce the social drift-diffusion model to capture these dynamics. We tested our model using a sequential choice task. The model was able to recover the dynamics of the social decision-making process, accurately capturing how individuals integrate personal and social information dynamically over time and when they timed their decisions. Our results show the importance of the interrelationships between accuracy, confidence, and response time in shaping the quality of information cascades. The model reveals the importance of capturing the dynamics of decision processes to understand how information cascades in social systems, paving the way for applications in other social systems.

Enhancing data quality to mine credible patterns

2021 ◽  
pp. 016555152110136
Author(s):  
Muhammad Imran ◽  
Adnan Ahmad
Keyword(s):  
Decision Making ◽  
Social Media ◽  
Data Quality ◽  
Positive Impact ◽  
Detection Algorithm ◽  
Evaluation Framework ◽  
Decision Making Process ◽  
Proposed Model ◽  
Strategic Goals

The importance of big data is widely accepted in various fields. Organisations spend a lot of money to collect, process and mine the data to identify patterns. These patterns facilitate their future decision-making process to improve the organisational performance and profitability. However, among discovered patterns, there are some meaningless and misleading patterns which restrict the effectiveness of decision-making process. The presence of data discrepancies, noise and outliers also impacts the quality of discovered patterns and leads towards missing strategic goals and objectives. Quality inception of these discovered patterns is vital before utilising them in making predictions, decision-making process or strategic planning. Mining useful and credible patterns over social media is a challenging task. Often, people spread targeted content for character assassination or defamation of brands. Recently, some studies have evaluated the credibility of information over social media based on users’ surveys, experts’ judgement and manually annotating Twitter tweets to predict credibility. Unfortunately, due to the large volume and exponential growth of data, these surveys and annotation-based information credibility techniques are not efficiently applicable. This article presents a data quality and credibility evaluation framework to determine the quality of individual data instances. This framework provides a way to discover useful and credible patterns using credibility indicators. Moreover, a new Twitter bot detection algorithm is proposed to classify tweets generated by Twitter bots and real users. The results of conducted experiments showed that the proposed model generates a positive impact on improving classification accuracy and quality of discovered patterns.

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