Andmebaasi logo
Valdkonnad ja kollektsioonid
Kogu ADA
Eesti
English
Deutsch
  1. Esileht
  2. Sirvi märksõna järgi

Sirvi Märksõna "ebaedu" järgi

Tulemuste filtreerimiseks trükkige paar esimest tähte
Nüüd näidatakse 1 - 7 7
  • Tulemused lehekülje kohta
  • Sorteerimisvalikud
  • Laen...
    Pisipilt
    listelement.badge.dso-type Kirje , listelement.badge.access-status Avatud juurdepääs ,
    A study on the failure reasons of technology startups in Estonia
    (Tartu Ülikool, 2024) Sahin, Berker; Vettik-Leemet, Piia, juhendaja; Tartu Ülikool. Majandusteaduskond; Tartu Ülikool. Sotsiaalteaduste valdkond
  • Laen...
    Pisipilt
    listelement.badge.dso-type Kirje , listelement.badge.access-status Avatud juurdepääs ,
    Edu ja ebaedu narratiivid telesarja “Õnne 13” stsenaariumites
    (Tartu Ülikool, 2008) Pennar, Kristiina; Kalmus, Veronika, juhendaja; Tartu Ülikool. Sotsiaalteaduskond; Tartu Ülikool. Ajakirjanduse ja kommunikatsiooni instituut
  • Laen...
    Pisipilt
    listelement.badge.dso-type Kirje , listelement.badge.access-status Avatud juurdepääs ,
    Eksportiva ettevõtte välisturgudelt täieliku väljumise prognoosimine Eesti ettevõtete näitel
    (Tartu Ülikool, 2024) Lääts, Siljar; Peedo, Hans; Lukason, Oliver, juhendaja; Tartu Ülikool. Majandusteaduskond; Tartu Ülikool. Sotsiaalteaduste valdkond
  • Laen...
    Pisipilt
    listelement.badge.dso-type Kirje , listelement.badge.access-status Avatud juurdepääs ,
    Failure prediction of European high-tech companies
    (Tartu Ülikool, 2020) Klaas, Hannes; Vals, Ivo; Lukason, Oliver, juhendaja; Tartu Ülikool. Majandusteaduskond; Tartu Ülikool. Sotsiaalteaduste valdkond
    The aim of this thesis is to develop a model for predicting the failure of high-tech and mediumhigh tech companies from different European countries. This study uses firm-level data from the Bureau van Dijk’s Amadeus database and includes the financial information of 32,929 firms. The data were collected from the financial statements of the companies for the period 2012–2017 and logistic regression was used as the analysis method. Findings indicate that the accuracies of individual variables across countries are not very high and there are large differences in the accuracies of individual ratios when comparing non-failed and failed firms. Aggregate accuracies for all ratios within country and across countries show that the most accurate predictions are obtained for non-failed firms using the ratios for the preceding two years combined. The practical value of this work lies in the knowledge of the relevant variables, which allows companies to focus in a timely manner on aspects that have determined failure in the past. Subsequent works should attempt to use a larger sample of European countries and include other variables in addition to financial ratios.
  • Laen...
    Pisipilt
    listelement.badge.dso-type Kirje , listelement.badge.access-status Avatud juurdepääs ,
    Failure prediction of young manufacturing firms: evidence from European countries
    (Tartu Ülikool, 2021) Haugasmägi, Rasmus; Kõllamõts, Ainer; Lukason, Oliver, juhendaja; Tartu Ülikool. Majandusteaduskond; Tartu Ülikool. Sotsiaalteaduste valdkond
  • Laen...
    Pisipilt
    listelement.badge.dso-type Kirje , listelement.badge.access-status Avatud juurdepääs ,
    Past entrepreneurial misbehaviour as a predictor of firm default
    (Tartu Ülikool, 2021) Tamm, Anne-Liis; Lukason, Oliver, juhendaja; Tartu Ülikool. Majandusteaduskond; Tartu Ülikool. Sotsiaalteaduste valdkond
  • Laen...
    Pisipilt
    listelement.badge.dso-type Kirje , listelement.badge.access-status Avatud juurdepääs ,
    Why e-government projects fail: main antecedents of the non-adoption of electronic health records in Germany according to stakeholder perceptions
    (Tartu Ülikool, 2023) Bitzenhofer, Felicitas; Alishani, Art, juhendaja; Schmidt, Carsten, juhendaja; Tartu Ülikool. Sotsiaalteaduste valdkond; Tartu Ülikool. Johan Skytte poliitikauuringute instituut
    The Electronic Health Record in Germany was introduced in January 2021 and offers the integrated use of the application across sectors and institutions. However, two years after this introduction, less than 1% of the German population has applied for such a record with their health insurance provider. This is despite evident support of medical professionals as well as the society at large. To explain this non-adoption in particular and e-government non-adoption in general, the main goal of this thesis is the synthesis of the main antecedents of e-government non-adoption by investigating the perceptions of its main stakeholders: political stakeholders, medical professionals and citizens. Building on the assumption that non-adoption is not simply the opposite of adoption, and that perceptions of stakeholders play a crucial role in the engagement with e-government, this study is set in an interpretive, single case study. Moreover, the research conducted in this thesis employs Q-methodology, a mixed-methods approach that allows for the study of subjective experiences, and therefore perceptions. Analyzing the data from 29 participants (4 political stakeholders, 9 medical professionals and 16 citizens), this study found four main antecedents of non-adoption: communication, trust, design and attitude. These can be considered a starting point for more research focused explicitly on non-adoption and give valuable insights for practitioners.

DSpace tarkvara autoriõigus © 2002-2026 LYRASIS

  • Teavituste seaded
  • Saada tagasisidet