scholarly journals Decision Support Systems: A Content Analysis of Graduate Theses in Turkey

2021 ◽  
Vol 12 (46) ◽  
pp. 12-28
Author(s):  
Hüseyin GÖKAL ◽  
Volkan CANTEMIR ◽  
Ahmet ADALIER
Keyword(s):  
Content Analysis ◽  
Decision Support ◽  
Decision Support Systems ◽  
Research Methodology ◽  
Support Systems ◽  
Descriptive Analysis ◽  
Experimental Studies ◽  
Graduate Studies ◽  
Analysis Technique ◽  
Qualitative Research Methodology

This study aims to conduct a descriptive analysis and evaluation of graduate theses regarding decision support systems carried out between 1989 and 2020 in Turkey. The qualitative research methodology was applied, the theses were analyzed through the descriptive content analysis technique. Forty-eight graduate studies accessible from the national thesis center database of YÖK were included in the analysis. The theses were coded according to the date of publication, university, institute, department, degree level, the academic title of the thesis supervisor, thesis language, research methodology, research sub-areas. Graduate studies on DSS have increased in the last 15 years, and 42 studies have been conducted in the last 15 years. Selçuk University ranks first with the most studies on DSS. Half of the studies were carried out in the Institute of Science, and most of the studies that were produced in the universities were master's theses. Most supervisors were "Prof. Dr." titled faculty members. Most of the theses were written in Turkish, and primarily experimental studies were conducted. The business administration department produced most of the theses on DSS. Business and environment studies were the primary disciplines that produced theses. These were carried out in 7 institutes and 26 different departments. The findings of this study will guide other researchers who are willing to work in the decision support systems field.

Status of AI-Enabled Clinical Decision Support Systems Implementations in China

2021 ◽  
Author(s):  
Mengting Ji ◽  
Xiaoyun Chen ◽  
Georgi Z. Genchev ◽  
Mingyue Wei ◽  
Guangjun Yu
Keyword(s):  
Decision Support ◽  
Decision Support Systems ◽  
Clinical Decision Support ◽  
Support Systems ◽  
Descriptive Analysis ◽  
Clinical Decision Support Systems ◽  
Clinical Decision ◽  
Fisher Exact Test ◽  
Process Data ◽  
Actual System

Abstract Background AI-enabled Clinical Decision Support Systems (AI + CDSSs) were heralded to contribute greatly to the advancement of health care services. There is an increased availability of monetary funds and technical expertise invested in projects and proposals targeting the building and implementation of such systems. Therefore, understanding the actual system implementation status in clinical practice is imperative. Objectives The aim of the study is to understand (1) the current situation of AI + CDSSs clinical implementations in Chinese hospitals and (2) concerns regarding AI + CDSSs current and future implementations. Methods We investigated 160 tertiary hospitals from six provinces and province-level cities. Descriptive analysis, two-sided Fisher exact test, and Mann-Whitney U-test were utilized for analysis. Results Thirty-eight of the surveyed hospitals (23.75%) had implemented AI + CDSSs. There were statistical differences on grade, scales, and medical volume between the two groups of hospitals (implemented vs. not-implemented AI + CDSSs, p <0.05). On the 5-point Likert scale, 81.58% (31/38) of respondents rated their overall satisfaction with the systems as “just neutral” to “satisfied.” The three most common concerns were system functions improvement and integration into the clinical process, data quality and availability, and methodological bias. Conclusion While AI + CDSSs were not yet widespread in Chinese clinical settings, professionals recognize the potential benefits and challenges regarding in-hospital AI + CDSSs.

scholarly journals Decision Support System For Selecting Bali Tourist Attractions Using The PROMETHEE Method

SinkrOn ◽  
2019 ◽  
Vol 3 (2) ◽  
pp. 1
Author(s):  
Eva Zuraidah
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support Systems ◽  
Recommendation System ◽  
Support Systems ◽  
Descriptive Analysis ◽  
Tourist Attraction ◽  
Tourist Attractions ◽  
The Right ◽  
Selection Of

Tourism is currently very potential to be developed as a source of local income by providing information both online and offline to the community so that regional income increases. Bali is one of the tourist destinations in Indonesia which is visited by many local and foreign tourists. The island of Bali has many interesting sights consisting of natural attractions, royal festivals, culinary tours, traditional markets, and museums. There are many criteria that must be considered, so through this recommendation system, tourists can find out what places are in Bali they will visit. One of the problems of decision making with many criteria and attributes in the selection of attractions is to provide detailed decisions that refer to the scale of weight possessed. Decision support systems provide priority results of attractions that are suitable for every traveler. Traveling is very important because with tourism we can eliminate fatigue due to activity during the day. The selection of the right tourist attraction also affects this, so it is necessary to choose the right tourist attraction. This study focused on the application of multi-attribute decision making (MADM) to decision support systems (SPK) using preferred organizational methods for enrichment and evaluation (Promeethe). When a traveler fills out a questionnaire, he must be consistent with the answers to get the best results based on his willingness and characteristics. This research uses descriptive analysis method that presents a summary of the results of surveys and interviews of tourists who want to choose Bali tourist attractions according to costs, security, natural beauty, facilities, and infrastructure and location.

scholarly journals Decision Support Systems (DSS) Applied to the Formulation of Agricultural Public Policies

Tecnura ◽  
2020 ◽  
Vol 24 (66) ◽  
pp. 95-108
Author(s):  
Juan Manuel Sánchez Céspedes ◽  
Juan Pablo Rodríguez Miranda ◽  
Olga Lucia Ramos Sandoval
Keyword(s):  
Decision Support ◽  
Decision Support Systems ◽  
Support Systems ◽  
Public Policies ◽  
Descriptive Analysis ◽  
Agricultural Policies ◽  
Scientific Databases ◽  
The Subject

Context: The process of formulating agricultural public policies is very complex due to the large number of variables involved in the process. That is why the development of decision support systems (DSS) help to improve this process. The article reviews the developments that have been made regarding the subject. Method: The method was to conduct a bibliographic review in several scientific databases, looking for developments of DSS systems applied to the process of formulating agricultural policies. When determining which DSS systems have been developed, a qualitative and descriptive analysis of the systems was carried out.

scholarly journals Nietzsche’s Ubermensch and Crime: An Analysis of Arvind Adiga’s Novel The White Tiger

2021 ◽  
Vol 4 (1) ◽  
pp. 49-58
Keyword(s):  
Qualitative Research ◽  
Content Analysis ◽  
21St Century ◽  
Research Methodology ◽  
Will To Power ◽  
Analysis Technique ◽  
Qualitative Research Methodology ◽  
The Future ◽  
Moral System ◽  
White Tiger

This paper analyzes the act of crime and its artistic rationalization through the character of Balram Halwai in Arvind Adiga’s novel The White Tiger under the theoretical prism of Nietzsche’s Philosophy of Ubermensch. Ubermensch is a hypothetical character proposed by Nietzsche in his masterpiece Thus Spoke Zarathustra who is expected to appear in the future and will possess some unique features like ‘transcendence over society’, ‘creation of new values and master morality’, ‘will to power and achievement’. The character of Balram is analyzed as a fictional Ubermensch under the lens of these features using Content Analysis Technique of Qualitative Research Methodology’ which is considered suitable for the specific descriptive nature and scope of this study. This analysis concludes that the embodiment of such features by Balram justifies his rise as a perfect potential Ubermensch of 21st century who rejects the traditional moral system and builds his own system of morality where crime also seems to be rationalized.

Assigning Value to Clinical Information – A Major Limiting Factor in the Implementation of Decision-Support Systems

1996 ◽  
Vol 35 (01) ◽  
pp. 1-4 ◽  
Author(s):  
F. T. de Dombal
Keyword(s):  
Decision Support ◽  
Decision Support Systems ◽  
Support Systems ◽  
Clinical Information ◽  
Limiting Factor ◽  
Major Difficulty ◽  
Computer Aided ◽  
Computer Aided Decision

AbstractThis paper deals with a major difficulty and potential limiting factor in present-day decision support - that of assigning precise value to an item (or group of items) of clinical information. Historical determinist descriptive thinking has been challenged by current concepts of uncertainty and probability, but neither view is adequate. Four equations are proposed outlining factors which affect the value of clinical information, which explain some previously puzzling observations concerning decision support. It is suggested that without accommodation of these concepts, computer-aided decision support cannot progress further, but if they can be accommodated in future programs, the implications may be profound.

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