1,721,053 research outputs found
Hot Stock or Not? A Qualitative Multi-Attribute Model to Detect Financial Market Manipulation
No full textThe emergence of online financial information channels, such as web portals and financial blogs, eases the challenge process for scammers of publishing fraudulent contents in order to manipulate share prices. To maintain market integrity, financial market surveillance authorities monitor these different information channels to detect suspicious behaviour. However, as the available amount of online information increases, analyses become more costly and time-consuming. In order to support related decisions, we have developed a model to identify fraudulent situations. Based on interviews with domain experts, we first identified the factors determining suspicious situations and then applied a qualitative multi-attribute modelling technique. Thereby, our resulting model builds upon valuable knowledge of domain experts and provides means to address the challenge of information based market manipulation
Hot Stock or Not? A Qualitative Multi-Attribute Model to Detect Financial Market Manipulation
No full textThe emergence of online financial information channels, such as web portals and financial blogs, eases the challenge process for scammers of publishing fraudulent contents in order to manipulate share prices. To maintain market integrity, financial market surveillance authorities monitor these different information channels to detect suspicious behaviour. However, as the available amount of online information increases, analyses become more costly and time-consuming. In order to support related decisions, we have developed a model to identify fraudulent situations. Based on interviews with domain experts, we first identified the factors determining suspicious situations and then applied a qualitative multi-attribute modelling technique. Thereby, our resulting model builds upon valuable knowledge of domain experts and provides means to address the challenge of information based market manipulation
A decision support system for selecting forms of online advertising messages to inform selected categories of users
Get PDFNamen dela je preučitev vpliva podajanja informacij z oglasnim sporočilom ciljnemu prejemniku. Spoznati želimo dejavnike, ki vplivajo na učinkovitejše podajanje informacij želenim uporabnikom. Cilj študije je bil izdelati interaktivno bazo podatkov, ki se lahko uporablja kot podlaga za pomoč pri snovanju oglasnih sporočil pa tudi kot pomoč pri prepoznavanju ciljnih uporabnikov za že izdelano oglasno sporočilo. Delo je sestavljeno iz preliminarne in glavne študije. Preliminarna študija zajema 84 osebnih anket, glavna študija pa 196 osebnih in 98 spletnih anket. Merili smo sprejemanje, razumevanje, pomnjenje in vizualizacijo sporočila. Iz zbranih podatkov smo izdelali več baz podatkov, jih analizirali z vrtilnimi tabelami in grafično prikazali povezave med podatki. Dobili smo pregled lastnosti specifičnih uporabnikov za podani tip sporočila. Uporabnost zbranih podatkov smo izboljšali z izdelavo odločitvenih dreves za izbiro tipa sporočila. Pridobljeni podatki in metode uporabe omogočajo izdelavo ustreznega sporočila za ciljnega uporabnika, ob tem pa tudi določitev potencialnih ciljnih uporabnikov za že izdelan oglas.The purpose of the work is to study the effect of giving information to a targeted user by a short ad. We wish to understand the factors of effective information giving to targeted users. The long term goal of the study is to build up an interactive data base, which can be used as a basis for ad design and identification of recipients for predesigned ads. The work consists of a preliminary study with 86 participants and a main study with 196 personal and 98 online participants. We measured acceptance, understanding, memorization and visualization of the user for an ad. The collected data were used to make databases. The data was analyzed by using pivot tables and charts, which were used to display the connections and interactions between the collected data. We derived an approximate view of specific user types for an ad. We enhanced the database use with decision tree models for add message type choosing. The database allows us to design an ad for a specific user or to determine potential users for a premade ad
Selection of the Most Effective Marketing Strategy for the Promotion of the Measurement Board of a Selected Company
No full textMagistrsko delo obravnava izbiro najučinkovitejše marketinške strategije za promocijo konkretnega visokotehnološkega izdelka z uporabo metod za podporo pri odločanju. Namen raziskave je analizirati obstoječe promocijske pristope in na podlagi večkriterijskega modeliranja izbrati najprimernejšo strategijo ali kombinacijo strategij za promocijo merilne plošče STEMlab 125-14 4-Input Starter Kit. V raziskavi smo uporabili programsko orodje DEXiWin, s katerim smo razvili odločitveni model, ki temelji na merilih, povezanih z učinkovitostjo različnih oblik promocije. V teoretičnem delu smo se osredotočili na področja marketinških strategij, večkriterijskega odločanja in sistemov za podporo pri odločanju. V empiričnem delu smo analizirali trenutno prakso podjetja Red Pitaya, v katerem izdelek nastopa kot študija primera, ter izvedli primerjalno analizo različnih promocijskih pristopov. Cilj dela je bil z združitvijo teorije in praktične analize podati utemeljen predlog najučinkovitejše marketinške strategije za promocijo izbranega izdelka. Rezultati raziskave so pokazali, da so najučinkovitejši pristopi za promocijo izdelka sejmi, Google Ads, oglasi na tujih platformah ter hackatloni na univerzah, saj združujejo širok doseg, visoko angažiranost ter uravnoteženo učinkovitost v digitalnem in fizičnem okolju.The master\u27s thesis addresses the selection of the most effective marketing strategy for the promotion of a specific high-tech product using decision support methods. The aim of the research is to analyze existing promotional approaches and, based on multi-criteria modeling, identify the most appropriate strategy or combination of strategies for promoting the measurement board STEMlab 125-14 4-Input Starter Kit. In the study, we used the DEXiWin software tool to develop a decision model based on criteria related to the effectiveness of different forms of promotion. The theoretical part focuses on the fields of marketing strategies, multi-criteria decision-making, and decision support systems. In the empirical part, we analyzed the current practices of the company Red Pitaya, where the product serves as a case study, and conducted a comparative analysis of various promotional approaches. The goal of the thesis was to combine theory and practical analysis to provide a well-founded proposal for the most effective marketing strategy for promoting the selected product. The results of the research indicate that the most effective approaches for product promotion are trade fairs, Google Ads, advertisements on foreign platforms, and university hackathons, as they combine broad reach, high engagement, and a balanced effectiveness in both digital and physical environments
Assessment and selection of technical solutions for stator production
Get PDFMagistrska naloga obravnava vrednotenje in izbiro tehnoloških rešitev za izdelavo statorjev elektromotorja. Izbrano podjetje, s katerim smo sodelovali pri izdelavi magistrske naloge, se vse pogosteje sooča z izbiro tehnoloških rešitev za izdelavo elektromotorjev in njihovih podsestavov. Zato smo se odločili za snovanje odločitvenega modela, ki bo omogočal hitro in enostavno vrednotenje tehnoloških rešitev za izdelavo statorjev. V magistrski nalogi smo predstavili razvoj in delovanje odločitvenih modelov po kombinirani odločitveni metodi utežene vsote in odločitvenih dreves ter odločitveni metodi DEX. V nadaljavanju smo analizirali alternative, odločitvene modele in rezultate primerjali in ugotavljali njihovo skladnost. Odločitveni modeli po obeh metodah pomagajo ovrednotiti najboljšo tehnološko rešitev na nivoju dobavitelja tehnološke rešitve za izdelavo statorjev. V modelu, izdelanem po kombinirani metodi utežene vsote in odločitvenih dreves, smo upoštevali tudi verjetnost pojavitve napovedanih proizvodnih količin, s čimer smo poskusili izbiro še dodatno izboljšati in čim bolj zmanjšati odločitveno tveganje. Zaradi kompleksnosti odločitvenega problema smo odločanje pri obeh odločitvenih modelih razdelili na dve stopnji in tako dosegli boljšo strukturiranost in preglednost odločitvenega postopka. Iz obeh odločitvenih modelov smo dobili enako razvrstitev izbranih alternativ in tako ugotovili, da sta modela primerljiva. Najbolje ovrednoteni dobavitelj strojne opreme je z Japonske in se tudi v realnosti izkazuje kot najboljši izmed treh ponudnikov strojne opreme za izdelavo statorjev elektromotorjev. Iz tega lahko sklepamo, da sta odločitvena modela pravilna in primerna za realizacijo v praksi.The master thesis is about evaluation and selection of technological solutions for the production of stators for electro motors. The company we have collaborated with in making this master thesis is frequently faced with choosing technological solutions for producing electro motors and their sub components. Confronted with this issue, we decided to design a decision model, which will allow a quick and simple evaluation of stator production technological solutions. In the thesis we are presenting the designing and the concept of decision models, using two methods: a combination of a weighted-sum method and decision trees, and the method DEX. We analized decision alternatives, compared decision models and results, and evaluated their compliance. From both decision models we got the most suitable technological solution for stator production on the equipment supplier level. In the combined weighted sum and decision tree model of we considered also the probability of occurrence for different forecasted production quantities scenarios. With this we tried to further improve the selection and reduce the decision risks. Because of the complexity of the decision problem we carried out the evaluation in two stages. This allowed us to achieve a better comprehensibility and structure of decision models. We got the same results from both decision models and the same classification of the alternatives, so we could conclude that the decision models are comparable. The best evaluated machine supplier for stator production technology is also in the reality performing the best of the three evaluated suppliers. From this we can conclude that the decision models are correct and suitable for implementation in practice
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