Towards Bottom-Up Decision Making and Collaborative Knowledge Generation in Urban Infrastructure Projects Through Online Social Media

2015 ◽  
pp. 145-164
Author(s):  
Mazdak Nik-Bakht ◽  
Tamer E. El-Diraby
Keyword(s):  
Decision Making ◽  
Social Media ◽  
Urban Infrastructure ◽  
Knowledge Generation ◽  
Infrastructure Projects ◽  
Bottom Up ◽  
Online Social Media ◽  
Collaborative Knowledge

Impact of Online Social Media on Consumer Decision Making: A Study in Dehradun

2012 ◽  
Vol 3 (5) ◽  
pp. 379-381
Author(s):  
Dr. Aruna Kumar Mishra ◽  
◽  
Narendra Kumar Narendra Kumar ◽  
Abhishek Sharma
Keyword(s):  
Decision Making ◽  
Social Media ◽  
Consumer Decision Making ◽  
Consumer Decision ◽  
Online Social Media

scholarly journals Key Criteria for Information Quality in the Use of Online Social Media for Emergency Management in New Zealand

2021 ◽  
Author(s):  
◽  
Gunilla Elleholm Jensen
Keyword(s):  
Decision Making ◽  
Social Media ◽  
New Zealand ◽  
Emergency Management ◽  
Information Quality ◽  
Social Impact ◽  
Research Question ◽  
Time Frame ◽  
The Public ◽  
Online Social Media

<p>Knowledge and information give people the power to make decisions and to act; they are the key to the success of real-time decision making. Social media can be valuable in emergencies where information can be shared to save lives and minimise the human and social impact. Fostering information quality is important in order to validate the information collected for decision making. With the empowerment of the general public and the abundance of information on social media, information quality becomes central to achieving an effective and efficient outcome in emergency response and saving lives. A gap exists in the research in the area of information quality in the use of online social media for emergency management in New Zealand. The research question for this study is: What are the key criteria for fostering information quality in the use of online social media for emergency management in New Zealand? How are they achieved? The data collection method employed was in-depth interviews of members of emergency management organisations in New Zealand. The interviews were followed by participant check. Previous research has identified accuracy, consistency and relevancy as the most frequently acknowledged criteria for information quality. This study found that the three key criteria for information quality in the use of online social media for emergency management in New Zealand are: Using verified and validated information; Using timely information; Building and using networks. There were two conflicts between the criteria: The need to dispel rumours or get time critical information out to the public can be in conflict with making sure that information is verified and trustworthy. The other conflict lies in the desire to control communication on social media, which hinders sharing of information and engagement with the public. It was found that the key criteria for information quality can be achieved by engaging with followers, so that their shared information can be included in the EOCs standard verification processes, and at the same time letting the followers know what the time frame is for new information releases.</p>

Predicting Consumers’ Decision-Making Styles by Analyzing Digital Footprints on Facebook

2019 ◽  
Vol 18 (02) ◽  
pp. 601-627 ◽  
Author(s):  
Yuh-Jen Chen ◽  
Yuh-Min Chen ◽  
Yu-Jen Hsu ◽  
Jyun-Han Wu
Keyword(s):  
Decision Making ◽  
Social Media ◽  
Training Dataset ◽  
Consumer Decision Making ◽  
Consumer Decision ◽  
Digital Footprint ◽  
Online Social Media ◽  
Decision Making Styles ◽  
Prediction Mechanism ◽  
Digital Footprints

In the past, enterprises used time-consuming questionnaire surveys and statistical analysis to formulate consumer profiles. However, explosive growth in social media had produced enormous quantities of texts, images, and videos, which is sometimes referred to as a digital footprint. This provides an alternative channel for enterprises seeking to gain an objective understanding of their target consumers. Facilitating the analysis of data used in the formulation of a marketing strategy based on digital footprints from online social media is crucial for enterprises seeking to enhance their competitive advantage in today’s markets. This study develops an approach for predicting consumer decision-making styles by analyzing digital footprints on Facebook to assist enterprises in rapidly and correctly mastering the consumption profile of consumers, thereby reducing marketing costs and promoting customer satisfaction. This objective can be achieved by performing the following tasks: (i) designing a process for predicting consumer decision-making styles based on the analysis of digital footprints on Facebook, (ii) developing techniques related to consumer decision-making style prediction, and (iii) implementing and evaluating a consumer decision-making style prediction mechanism. In the practical experiment, we obtained questionnaires and various digital footprint contents (including “Likes,” “Status,” and “Photo/Video”) from 3304 participants in 2018, 2644 of which were randomly selected as a training dataset, with the remaining 660 participants forming a testing dataset. The experimental results indicated that the accuracy increased to 75.88% and proved that the approach proposed in this study can effectively predict consumers’ decision-making styles.

Social Media Lessons on the Nature of Political Decision Making

2020 ◽  
Author(s):  
Douglas R. Pierce
Keyword(s):  
Decision Making ◽  
Social Networks ◽  
Social Media ◽  
Media Use ◽  
Political Judgment ◽  
Political Decision ◽  
Social Media Use ◽  
Online Social Media ◽  
New Models ◽  
Political Decision Making

Traditional models of political decision making tend to focus on the subject’s information levels or information-processing strategy. One of the most common conceptions of political decision making assumes that voters who are informed by a store of factually accurate policy information make more optimal decisions—that is, decisions more in line with their supposed political interests—than those who lack such information. However, this traditional view of political decision making minimizes the roles of affect and social influence on judgment. No phenomenon underscores the primary place of these constructs more so than the meteoric rise of online social media use. Indeed, scholars working at the intersection of social media use and political judgment have made important revisions to the traditional model of political decision making. Specifically, the popularity of online social networks as a tool for exchanging information, connecting with others, and displaying affective reactions to stimuli suggest that new models of competent political decision making which take into account social, affective, and cognitive elements are replacing older, information-based and rational choice models. In this essay, I review some of the pertinent literature on social media use and decision-making and argue that motivation, emotion, and social networks are key components of political judgment and are in fact more relevant to understanding political decisions than political knowledge or political sophistication. I also propose that new models of political decision-making would do well to take into account automaticity, social approval, and the role of information in both rationalizing preferences and persuading others.

scholarly journals Key Criteria for Information Quality in the Use of Online Social Media for Emergency Management in New Zealand

2021 ◽  
Author(s):  
◽  
Gunilla Elleholm Jensen
Keyword(s):  
Decision Making ◽  
Social Media ◽  
New Zealand ◽  
Emergency Management ◽  
Information Quality ◽  
Social Impact ◽  
Research Question ◽  
Time Frame ◽  
The Public ◽  
Online Social Media

<p>Knowledge and information give people the power to make decisions and to act; they are the key to the success of real-time decision making. Social media can be valuable in emergencies where information can be shared to save lives and minimise the human and social impact. Fostering information quality is important in order to validate the information collected for decision making. With the empowerment of the general public and the abundance of information on social media, information quality becomes central to achieving an effective and efficient outcome in emergency response and saving lives. A gap exists in the research in the area of information quality in the use of online social media for emergency management in New Zealand. The research question for this study is: What are the key criteria for fostering information quality in the use of online social media for emergency management in New Zealand? How are they achieved? The data collection method employed was in-depth interviews of members of emergency management organisations in New Zealand. The interviews were followed by participant check. Previous research has identified accuracy, consistency and relevancy as the most frequently acknowledged criteria for information quality. This study found that the three key criteria for information quality in the use of online social media for emergency management in New Zealand are: Using verified and validated information; Using timely information; Building and using networks. There were two conflicts between the criteria: The need to dispel rumours or get time critical information out to the public can be in conflict with making sure that information is verified and trustworthy. The other conflict lies in the desire to control communication on social media, which hinders sharing of information and engagement with the public. It was found that the key criteria for information quality can be achieved by engaging with followers, so that their shared information can be included in the EOCs standard verification processes, and at the same time letting the followers know what the time frame is for new information releases.</p>

Grey social media engagement analysis

2016 ◽  
Vol 6 (2) ◽  
pp. 233-245 ◽  
Author(s):  
Camelia Delcea
Keyword(s):  
Decision Making ◽  
Social Networks ◽  
Social Media ◽  
Online Social Networks ◽  
Online Advertising ◽  
Strong Relationship ◽  
Content Type ◽  
Online Social Media ◽  
Social Media Engagement ◽  
The Right

Purpose – Recent studies have shown that customers are more likely to buy a certain product or service from a company they can follow or contact on social media. Moreover, the customers feel a stronger relationship with the companies they are interacting in the virtual networks. But have the companies succeed in getting everything from this strong relationship? Are their online advertising campaigns getting to the right customers? Is there any connection between the social media engagement and the decisions users are taking? This is going to be shaped in this paper through a grey analysis applied to the selected variables. The paper aims to discuss these issues. Design/methodology/approach – As the nature of the relationships created in the online social networks is characterized by incomplete information, the analysis will make used of the concepts and means offered by the grey systems theory, a theory that have obtained good results over the time when used on uncertain situations. Findings – By applying a grey relational analysis (GRA) to the considered variables, a strong relationship between the decision easiness and both time spent on social media platforms and number of the accessed websites has been identified. Moreover, it has been determined that the decision happiness is closely related to the companies’ websites and their commercials. Research limitations/implications – The present paper shapes the relationship between the usage of online social media and consumers’ decision-making process and decision-making happiness. Due to the fact that the online social media includes billions of users worldwide, the study has some limitations due to the users’ number. Originality/value – The paper uses GRA for drawing the connections between the online social networks reality and its influence to users’ every-day life. Considering the present findings, it can be underlined that the identification of the persons which are influential becomes important in order to get to the proper targeted customers.

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