Search results for "pää"

Surrogate assisted interactive multiobjective optimization in energy system design of buildings

2022

In this paper, we develop a novel evolutionary interactive method called interactive K-RVEA, which is suitable for computationally expensive problems. We use surrogate models to replace the original expensive objective functions to reduce the computation time. Typically, in interactive methods, a decision maker provides some preferences iteratively and the optimization algorithm narrows the search according to those preferences. However, working with surrogate model swill introduce some inaccuracy to the preferences, and therefore, it would be desirable that the decision maker can work with the solutions that are evaluated with the original objective functions. Therefore, we propose a novel…

Exposing ecological and economic costs of the research-implementation gap and compromises in decision making

2018

The frequently discussed gap between conservation science and practice is manifest in the gap between spatial conservation prioritization plans and their implementation. We analyzed the research-implementation gap of one zoning case by comparing results of a spatial prioritization analysis aimed at avoiding ecological impact of peat mining in a regional zoning process with the final zoning plan. We examined the relatively complex planning process to determine the gaps among research, zoning, and decision making. We quantified the ecological costs of the differing trade-offs between ecological and socioeconomic factors included in the different zoning suggestions by comparing the landscape-l…

Three Stages of Consumers’ Multi-Stage Dichotomic Switching Process Pre-Switch, switch, and post-switch

2021

This research examines why and how consumers switch their mobile phones. We propose a framework that is grounded on decision-making and motivational theories and draws on the findings from a multinational qualitative survey on consumers’ mobile phone switching process. We show that consumers’ pre-switching decisions are affected by push and pull factors, their mobile phone selections are based on utilitarian or hedonic values, and their justifications for switching are based on cognition or affect. Furthermore, we identify two archetypical routes (i.e., cognitive and affective routes) and three conjoint routes that explain the dichotomic switching processes in pre-switch, switch, and post-s…

Aina jonkun asialla, vai...? : sitoutumattomat sanomalehdet yhteiskunnallisina vaikuttajina pääkirjoitussivuillaan

2015

BI-järjestelmän vaikutukset laskentainformaatioon ohjauksen ja päätöksenteon tukena

2017

Business intelligence (BI) eli liiketoimintatiedon hallinta on viime vuosina kasvattanut merkittävästi rooliaan päätöksenteon apuvälineenä. Tiedosta ja sen hallinnasta on muodostunut yrityksille kilpailukyvyn perusta. Suuren datamäärän jalostaminen ohjausta ja päätöksentekoa tukevaksi laadukkaaksi informaatioksi aiheuttaa monille yrityksille kuitenkin vielä haasteita. Tämän pro gradu -tutkielman tavoitteena on selvittää, miten BI-järjestelmä on vaikuttanut laskentainformaatioon ohjauksen ja päätöksenteon tukena. Aiempi business intelligenceen liittyvä tutkimus on hyvin teknologiapainotteista jättäen vähälle huomiolle BI-järjestelmän roolin laadukkaan informaation tuottamisessa ohjauksen ja …

Discarding the mirror : the importance of intangible social resources to responsibility in business in a Finnish context

2010

Towards digital cognitive clones for the decision-makers: adversarial training experiments

2021

Abstract There can be many reasons for anyone to make a digital copy (clone) of own decision-making behavior. This enables virtual presence of a professional decision-maker simultaneously in many places and processes of Industry 4.0. Such clone can be used as one’s responsible representative when the human is not available. Pi-Mind (“Patented Intelligence”) is a technology, which enables “cloning” cognitive skills of humans using adversarial machine learning. In this paper, we present a cyber-physical environment as an adversarial learning ecosystem for cloning image classification skills. The physical component of the environment is provided by the logistic laboratory with camera-surveilla…

Barriers to Data-Driven Decision-Making Among Online Retailers

2022

This study investigates the barriers to data-driven decision-making among online retailers. The study seeks to deepen the previous knowledge by considering data-driven decision-making as a process and identifying the critical obstacles within its different (6) stages. Qualitative interview data (N=10) collected from Finnish e-commerce professionals are analyzed. The findings show that barriers to data-driven decision-making occur at all stages during the decision-making process. The barriers are mostly related to the employees’ and the management’s expertise in collecting, organizing, analyzing, summarizing, synthesizing, and prioritizing data. In addition, attitudinal, technical, and strat…

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…