Search results for "päätöksenteko"
showing 10 items of 232 documents
Data-Driven Interactive Multiobjective Optimization Using a Cluster-Based Surrogate in a Discrete Decision Space
2019
In this paper, a clustering based surrogate is proposed to be used in offline data-driven multiobjective optimization to reduce the size of the optimization problem in the decision space. The surrogate is combined with an interactive multiobjective optimization approach and it is applied to forest management planning with promising results. peerReviewed
Startup Metrics That Tech Entrepreneurs Need to Know
2020
Metrics can be used by firms to make more objective decisions based on data. Software startups in particular are characterized by the uncertain or even chaotic nature of the contexts in which they operate. Using data in the form of metrics can help software startups to make the right decisions amid uncertainty and limited resources. However, whereas conventional business metrics and software metrics have been studied in the past, metrics in the specific context of software startups have not been studied. In this chapter, we present the results of a multivocal literature review to offer you 118 metrics practitioner experts think software startups should measure. These metrics can give you id…
Perceived usefulness of business intelligence system in decision making process
2017
Liiketoimintatiedon järjestelmät ovat kasvattaneet suosiotaan. Tämän tutkielman tavoitteena on selvittää edesauttavatko nämä järjestelmät päätöksentekoprosessia. Tutkielmassa esitellään päätöksenteon tukijärjestelmien synty, historia ja tällaisten järjestelmien erilaiset tavoitteet. Järjestelmien teknologiset taustat ja päätöksentekoprosessi esitellään. Tutkielman aineisto on kerätty elektronisella kyselylomakkeella eri organisaatioiden työntekijöiltä. Kyselylomake koostui seitsemästä taustakysymyksestä ja 24 väittämästä mitaten kahdeksaa eri muuttujaa. Muuttujat käsittävät yleisiä tietojärjestelmiä, liiketoimintatiedon järjestelmiä sekä päätöksentekoprosessia. Aineiston data on analysoitu …
Data-driven Interactive Multiobjective Optimization : Challenges and a Generic Multi-agent Architecture
2020
In many decision making problems, a decision maker needs computer support in finding a good compromise between multiple conflicting objectives that need to be optimized simultaneously. Interactive multiobjective optimization methods have a lot of potential for solving such problems. However, the growth of complexity in problem formulations and the abundance of data bring new challenges to be addressed by decision makers and method developers. On the other hand, advances in the field of artificial intelligence provide opportunities in this respect. We identify challenges and propose directions of addressing them in interactive multiobjective optimization methods with the help of multiple int…
Long-term impacts of increased timber harvests on ecosystem services and biodiversity : A scenario study based on national forest inventory data
2020
The transition to a climate-neutral economy is expected to increase future timber demands and endanger the multifunctionality of forests. National scenario analyses are needed to determine long-term forest management impacts and support forest policy making in defining guidelines for the sustainable provision of forests’ ecosystem services and biodiversity (ESB). Using national forestry inventory data, the forest management model MASSIMO and a model to estimate harvesting costs, we simulated forest development in Switzerland under five politically relevant timber harvesting scenarios until 2106 (business as usual and four increased timber mobilisation scenarios). Model results were analysed…
Interactive evolutionary multiobjective optimization with modular physical user interface
2022
© 2022 Copyright held by the owner/author(s). Incorporating the preferences of a domain expert, a decision-maker (DM), in solving multiobjective optimization problems increased in popularity in recent years. The DM can choose to use different types of preferences depending on his/her comfort, requirements, or the problem being solved. Most papers, where preference-based and interactive algorithms have been proposed, do not pay attention to the user interfaces and input devices. If they do, they use character or graphics-based preference input methods. We propose the option of using a physical or tactile input device that gives the DM a better sense of control over providing his/her preferen…
On approaches for solving computationally expensive multiobjective optimization problems
2016
In this thesis, we consider solving computationally expensive multiobjective optimization problems that take into account the preferences of a decision maker (DM). The aim is to support the DM in identifying the most preferred solution for problems that have several conflicting objectives and when the evaluation of the candidate solutions is time consuming. This is conducted by replacing computationally expensive functions with computationally inexpensive functions, known as surrogates. First, based on a literature survey, we introduce two frameworks, i.e., a sequential and an adaptive framework, based on which surrogate-based methods are classified and compared. We then identify relevant cha…
Unboxing co-creation of value: Users' hedonic and utilitarian drivers
2019
Value co-creation through involving users in service processes via resource integration is a focal service research interest. However, studies often take a firm-centric or generic approach and overlook value co-creation from the point view of an individual user. We address this gap by adopting a qualitative research approach and laddering interviews (n = 113) to examine users’ hedonic and utilitarian drivers for value co-creation behavior in five service system contexts. We argue that underlying differences exist among all service systems and contribute with a novel approach by depicting the differences in value-based motivations for users to co-create value. As practical implications, our …
3D-videoanimaation vaikutukset potilaskokemukseen ennen suunniteltua leikkausta
2017
Terveydenhuollon digitalisaatiolla tavoitellaan parempaa palvelua, kustannus-tehokkuutta ja palvelujen yhtenäistä saavutettavuutta. Potilasohjaus on yksi yleisesti käytetty toimintatapa tavoitella potilaan parempaa hyvinvointia an-tamalla tietoa ja tukemalla häntä muutoksessa. Yksi keino hyödyntää digitali-saatiota on tarjota potilasohjauksen tueksi monipuolisempia menetelmiä, jotka huomioivat ihmisen tiedonkäsittelyprosessia ja vähentävät kognitiivista kuormaa, jotta tiedon käsittelyyn ja uuden opetteluun jää enemmän resursseja. Keski-Suomen keskussairaalassa on otettu käyttöön 3D-animaatiot havainnol-listamaan tulevaa toimenpidettä. Tämän tutkimuksen tarkoituksena oli selvit-tää, miten le…
Emotional Business Intelligence : Enabling experience-centric business with the FeelingsExplorer
2014
The domain of Emotional Business Intelligence (EBI) aims to support business-relevant emotional and emotionaware decisions in addition to rational decision making. EBI originates from three root domains: Emotional Business, Emotional Intelligence and Business Intelligence (BI). In this paper we emphasize emotional empowerment of the traditional BI function; outline its main characteristics as a business working model of an emotionally smart, continuously learning organization; and introduce a first candidate of the EBI Toolkit, the FeelingsExplorer (FE). FE is a mash-up browser based on 4i (“ForEye”) technology, capable of visualizing objects in an emotional semantic space and thereby suppo…