Who Is a Good Decision Maker? Data-Driven Decision Ranking under Unobservable Quality

2019 ◽  
Author(s):  
Tomer Geva ◽  
Maytal Saar-Tsechansky
Keyword(s):  
Decision Maker ◽  
Data Driven ◽  
Good Decision

scholarly journals The Good Decision-Maker or Protecting the System

2020 ◽  
pp. 155-185
Author(s):  
Laura Affolter
Keyword(s):  
Decision Maker ◽  
Common Good ◽  
Asylum Seekers ◽  
Decision Makers ◽  
Individual Decision ◽  
Good Decision ◽  
The Common Good ◽  
Active Search ◽  
The Common

AbstractThis chapter explores how “digging deep”, which stands for the active “search for” inconsistencies in asylum seekers’ narratives in asylum interviews, becomes the morally correct thing for decision-makers to do. Building on Eckert (The Bureaucratic Production of Difference. transcript, Bielefeld, pp. 7–26, 2020) I challenge the depiction of bureaucracies as anethical and amoral. Ethics I understand not in a normative, but rather in an empirical sense, as the common good the administration is oriented towards. The chapter brings to light how particularly through fairness—both as a procedural norm and ethical value—digging deep is established as a routine, professionally necessary and desirable practice, which is connected to decision-makers’ role as “protectors of the system”. I argue that digging deep actively generates the “liars” and “false refugees” it sets out to “uncover”, thereby reinforcing the perception that, indeed, there “are” many false refugees which, again, strengthens the office’s and individual decision-makers’ endeavours to identify and exclude them from asylum.

Ethics Of Data Mining

2011 ◽  
pp. 454-458
Author(s):  
Jack Cook
Keyword(s):  
Data Mining ◽  
Decision Maker ◽  
Price Change ◽  
New Product ◽  
Decision Makers ◽  
Product Price ◽  
Good Decision ◽  
Marketing Campaign ◽  
Inherent Risk ◽  
Considerable Insight

Decision makers thirst for answers to questions. As more data is gathered, more questions are posed: Which customers are most likely to respond positively to a marketing campaign, product price change or new product offering? How will the competition react? Which loan applicants are most likely or least likely to default? The ability to raise questions, even those that currently cannot be answered, is a characteristic of a good decision maker. Decision makers no longer have the luxury of making decisions based on gut feeling or intuition. Decisions must be supported by data; otherwise decision makers can expect to be questioned by stockholders, reporters, or attorneys in a court of law. Data mining can support and often direct decision makers in ways that are often counterintuitive. Although data mining can provide considerable insight, there is an “inherent risk that what might be inferred may be private or ethically sensitive” (Fule & Roddick, 2004, p. 159).

scholarly journals The Blade of the Youngest Princess: The Eastern Kalimantan Folklore in the Analysis of Vladimir Propp’s Narrative Structure

2018 ◽  
Vol 5 (1) ◽  
pp. 83-94
Author(s):  
Siti Hafsah
Keyword(s):  
Qualitative Methods ◽  
Decision Maker ◽  
Narrative Structure ◽  
Moral Value ◽  
Good Decision ◽  
Educational Value ◽  
East Kalimantan ◽  
Vladimir Propp

The object of this research is The Blade of the Youngest Princess folklore (which abbreviated KLPB – Kepala Lading Putri Bungsu) from East Kalimantan. The researcher uses an approach of Vladimir Propp’s Narrative Structure to analyze the folklore. This research aims to reveal the function of the system of structure in folklore. The research uses qualitative methods and narrative structure of Vladimir Propp is used as an approach to identify the function and the structure of the story to reveal various values in community in East Kalimantan especially the moral value and the educational value. From the analysis, researcher finds that from the perspective of characters’ function, the folklore is formed from fifteen function. Whereas the elements of value of the community especially in East Kalimantan as reflected from the folklore is that the king is wise, fair, and a good decision maker.

Ethics Of Data Mining

2008 ◽  
pp. 2834-2840
Author(s):  
Jack Cook
Keyword(s):  
Data Mining ◽  
Decision Maker ◽  
Price Change ◽  
New Product ◽  
Decision Makers ◽  
Product Price ◽  
Good Decision ◽  
Marketing Campaign ◽  
Inherent Risk ◽  
Considerable Insight

Decision makers thirst for answers to questions. As more data is gathered, more questions are posed: Which customers are most likely to respond positively to a marketing campaign, product price change or new product offering? How will the competition react? Which loan applicants are most likely or least likely to default? The ability to raise questions, even those that currently cannot be answered, is a characteristic of a good decision maker. Decision makers no longer have the luxury of making decisions based on gut feeling or intuition. Decisions must be supported by data; otherwise decision makers can expect to be questioned by stockholders, reporters, or attorneys in a court of law. Data mining can support and often direct decision makers in ways that are often counterintuitive. Although data mining can provide considerable insight, there is an “inherent risk that what might be inferred may be private or ethically sensitive” (Fule & Roddick, 2004, p. 159).

Ethics Of Data Mining

2008 ◽  
pp. 211-217
Author(s):  
Jack Cook
Keyword(s):  
Data Mining ◽  
Decision Maker ◽  
Price Change ◽  
New Product ◽  
Decision Makers ◽  
Product Price ◽  
Good Decision ◽  
Marketing Campaign ◽  
Inherent Risk ◽  
Considerable Insight

Decision makers thirst for answers to questions. As more data is gathered, more questions are posed: Which customers are most likely to respond positively to a marketing campaign, product price change or new product offering? How will the competition react? Which loan applicants are most likely or least likely to default? The ability to raise questions, even those that currently cannot be answered, is a characteristic of a good decision maker. Decision makers no longer have the luxury of making decisions based on gut feeling or intuition. Decisions must be supported by data; otherwise decision makers can expect to be questioned by stockholders, reporters, or attorneys in a court of law. Data mining can support and often direct decision makers in ways that are often counterintuitive. Although data mining can provide considerable insight, there is an “inherent risk that what might be inferred may be private or ethically sensitive” (Fule & Roddick, 2004, p. 159).

scholarly journals To Make Good Decision: A Group DSS for Multiple Criteria Alternative Rank and Selection

2015 ◽  
Vol 2015 ◽  
pp. 1-15
Author(s):  
Chen-Shu Wang ◽  
Heng-Li Yang ◽  
Shiang-Lin Lin
Keyword(s):  
Decision Making ◽  
Decision Maker ◽  
Mutual Influence ◽  
Multiple Criteria Decision Making ◽  
Multiple Criteria ◽  
Multiple Perspectives ◽  
Decision Criteria ◽  
Good Decision ◽  
Rank And Select

Decision making is a recursive process and usually involves multiple decision criteria. However, such multiple criteria decision making may have a problem in which partial decision criteria may conflict with each other. An information technology, such asthe decision support system(DSS) and group DSS (GDSS), emerges to assist decision maker for decision-making process. Both the DSS and GDSS should integrate with a symmetrical approach to assist decision maker to take all decision criteria into consideration simultaneously. This study proposes a GDSS architecture named hybrid decision-making support model (HDMSM) and integrated four decision approaches (Delphi, DEMATEL, ANP, and MDS) to help decision maker to rank and select appropriate alternatives. The HDMSM consists of five steps, namely, criteria identification, criteria correlation calculation, criteria evaluation, critical criteria selection, and alternative rank and comparison. Finally, to validate the proposed feasibility of the proposed model, this study also conducts a case study to find out the important indexes of corporate social responsibility (CSR) from multiple perspectives. As the case study demonstrates the proposed HDMSM enables a group of decision makers to implement the MCDM effectively and help them to analyze the relation and degree of mutual influence among different evaluation factors.

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