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    Wyświetlanie 1-6 z 6
    Tytuł:
    Business model transformation during the COVID-19 pandemic - example of the automotive industry
    Autorzy:
    Dobrowolska, Emilia
    Sliż, Piotr
    Powiązania:
    https://bibliotekanauki.pl/articles/2231200.pdf
    Data publikacji:
    2023-07-20
    Wydawca:
    Szkoła Główna Handlowa w Warszawie
    Tematy:
    business model
    business model transformation
    dealership
    automotive industry
    COVID-19
    Opis:
    This article explores the impact of the COVID-19 epidemic on the business models of automotive-sector organizations, specifically authorized passenger car dealerships in Poland. The research aims to determine how business models were transformed during the pandemic. The research methods used include a literature review and opinion polls. The article begins by discussing the significance and evolution of business models and changes in the automotive sector. The results focus on how the pandemic brought about change in business models in the automotive sector, and the conclusion includes information as to limitations and further areas of study.
    Źródło:
    e-mentor. Czasopismo naukowe Szkoły Głównej Handlowej w Warszawie; 2023, 99, 2; 69-82
    1731-6758
    1731-7428
    Pojawia się w:
    e-mentor. Czasopismo naukowe Szkoły Głównej Handlowej w Warszawie
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Decentralized Business Models: Impact of blockchain technology on business model generation
    Zdecentralizowane modele biznesowe: wpływ technologii blockchain na modele biznesowe
    Autorzy:
    Ciupa, Katarzyna
    Powiązania:
    https://bibliotekanauki.pl/articles/698442.pdf
    Data publikacji:
    2019
    Wydawca:
    Szkoła Główna Handlowa w Warszawie
    Tematy:
    blockchain
    decentralisation
    business model
    cryptoasset
    trust
    decentralizacja
    model biznesowy
    zestaw kryptograficzny
    zaufanie
    Opis:
    Chociaż technologia łańcuchów blokowych, od czasu jej pierwszej prezentacji w Bitcoin Whitepaper, spotkała się z dużym zainteresowaniem zarówno osób prywatnych jak i publicznych organizacji międzynarodowych, jej rozwój nie zawsze był entuzjastycznie przyjmowany i często powodował więcej zamieszania niż się spodziewano. Chociaż obecnie prawie wszyscy zgadzają się, że łańcuch blokowy jest (technologicznie) wielkim następcą Internetu, jego ogromny potencjał jest również dużym wyzwaniem. Stworzyły one złożony ekosystem, a wiele inicjatyw jest dalekich od pierwotnej propozycji łańcucha blokowego. W rezultacie kluczowe stało się zrozumienie, co technologia łańcuchów blokowych ma do zaoferowania, jaki wpływ może mieć na istniejące przedsiębiorstwa oraz czy łańcuch blokowy pozwala na tworzenie nowych modeli biznesowych. Celem opracowania jest omówienie i ocena zarówno potencjału łańcucha blokowego, jak i jego ograniczeń oraz implikacji dla rozwoju i tworzenia modeli biznesowych.
    Even though blockchain technology, since its first presentation in the Bitcoin whitepaper, has received lots of attention from both individuals, or private and public international organizations, its development has not always been enthusiastically welcomed and often created more confusion than expected. Albeit currently almost everyone agrees that blockchain is (technology-wise) the great successor of the Internet, its tremendous potential is also highly challenging. Growing number of various constructs utilizing blockchain technology in a very innovative manner have emerged. However, they have also created a complex ecosystem with many initiatives being far away from the original blockchain proposition. As a result, it has become crucial to understand what blockchain technology has to offer, what kind of impact it could have on existing businesses, and whether blockchain allows new business models to be created. The aim of this paper is to discuss and evaluate both the blockchain’s potential, as well as its limitations and its implications for development and generation of business models.
    Źródło:
    Kwartalnik Nauk o Przedsiębiorstwie; 2019, 53, 4; 79-97
    1896-656X
    Pojawia się w:
    Kwartalnik Nauk o Przedsiębiorstwie
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Supply chain management in the access economy environment
    Autorzy:
    Nowicka, Katarzyna
    Powiązania:
    https://bibliotekanauki.pl/articles/425863.pdf
    Data publikacji:
    2020
    Wydawca:
    Szkoła Główna Handlowa w Warszawie
    Tematy:
    digital supply chain
    platform business model
    access economy
    digital technologies
    supply chain as a platform
    Opis:
    The paper focuses on the digital platform being the driving force of development of the access economy impacting on supply chain business model reconfiguration. First, the main accelerators of the sharing and access economies were described and compared with the characteristics of supply chain architecture. Then, different solutions of the platform business model impacting on supply chain reconfiguration are analysed. Next the results of a pilot study are presented to illustrate how supply chain managers understand the role of digital technologies and platforms. The paper is based mainly on a literature review and partially on the results of a pilot study conducted at the end of 2018 among 120 supply chain managers using the CATI methodology. Digital platforms can be used to improve supply chain competitiveness in several ways – starting from access to logistics services using the outsourcing model, through the additional solution of the supply chain business model portfolio widening the range of distribution channels, up to the digital supply chain solution being a platform connecting the whole ecosystem of supply chain stakeholders. The paper has a conceptual character, and the proposed solutions are still at the early stage of implementation in practice. Therefore, the undertaken topic should be a subject of further studies.
    Źródło:
    e-mentor. Czasopismo naukowe Szkoły Głównej Handlowej w Warszawie; 2020, 84, 2; 39-46
    1731-6758
    1731-7428
    Pojawia się w:
    e-mentor. Czasopismo naukowe Szkoły Głównej Handlowej w Warszawie
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    The Viterbi Path of hidden Markov models in an analysis of business tendency surveys
    Autorzy:
    Bernardelli, Michał
    Dędys, Monika
    Powiązania:
    https://bibliotekanauki.pl/articles/500693.pdf
    Data publikacji:
    2015
    Wydawca:
    Szkoła Główna Handlowa w Warszawie
    Tematy:
    hidden Markov model
    Viterbi algorithm
    business tendency surveys
    business cycle turning point detection
    Opis:
    The aim of the paper is to show that turning points detection can be treated as a problem of pattern recognition. In the paper there are presented the results of applying normal hidden Markov models to a number of survey balances. Beyond a classical two-scale assessment of business activity a slightly more fuzzy classification of states is considered. To determine periods of unclear or difficult to evaluate situation unobservable Markov chains with three and four states are introduced. The outputs of the Viterbi algorithm, i.e. the most likely paths of unobservable states of Markov chains, are a basis of the proposed classification. The comparison of these paths with the business cycle turning points dated by OECD is described. The results obtained for three- and four-state Markov chains are close to those established in the references time series and seem to improve the speed with which, especially downshifts, are signaled. Furthermore, these results are more favorable than outcomes provided by conventional two-state models. The method proposed in this paper seems to be a very effective tool to analyze results of business tendency surveys, in particular, when multistate Markov chains are considered. Moreover, proposed decompositions allow an easy comparison of two time series as far as turning point are concerned. In the paper survey balances are compared with ‘hard’ economic data such as sold manufacturing production. The results confirm the accuracy of assessment provided by survey respondents.
    Źródło:
    Prace i Materiały Instytutu Rozwoju Gospodarczego SGH; 2015, 96: Analyzing and forecasting economic fluctuations; 25-47
    0866-9503
    Pojawia się w:
    Prace i Materiały Instytutu Rozwoju Gospodarczego SGH
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    The procedure of business cycle turning points identification based on hidden Markov models
    Autorzy:
    Bernardelli, Michał
    Powiązania:
    https://bibliotekanauki.pl/articles/500211.pdf
    Data publikacji:
    2015
    Wydawca:
    Szkoła Główna Handlowa w Warszawie
    Tematy:
    hidden Markov model
    Viterbi algorithm
    Baum-Welch algorithm
    business tendency surveys
    business cycle turning points
    Opis:
    In the paper the procedure, based on hidden Markov chains with conditional normal distributions and uses algorithms such as time series decompositions (STL), Baum-Welch algorithm, Viterbi algorithm and Monte Carlo simulations, is proposed to analyze data out of the business tendency survey conducted by the Research Institute for Economic Development, Warsaw School of Economics. There are considered three types of models, namely, with two-state, three-state and four-state Markov chains. Results of the procedure could be treated as an approximation of business cycle turning points. The performed analysis speaks in favor of multistate models. Due to, an increasing with the number of states, numerical instability, it is not obvious which model should be considered as the best one. For this purpose various optimization criteria are taken into consideration: information criteria (AIC, BIC) and the maximum-likelihood, but also frequency of obtaining a given set of parameters in the Monte Carlo simulations. The results are confronted with the turning points dated by OECD. The tested models were compared in terms of their effectiveness in detecting of turning points. The procedure is a step into automation of business cycle analysis based on results of business tendency surveys. Though this automation covers only some models from millions of possibilities, the procedure turns out to be extremely accurate in business cycle turning points identification, and the approach seems to be an excellent alternative for classical methods.
    Źródło:
    Prace i Materiały Instytutu Rozwoju Gospodarczego SGH; 2015, 96: Analyzing and forecasting economic fluctuations; 5-23
    0866-9503
    Pojawia się w:
    Prace i Materiały Instytutu Rozwoju Gospodarczego SGH
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Unobserved Component Model with Observed Cycle Use of BTS Data for Short-Term Forecasting of Industrial Production
    Autorzy:
    Dudek, Sławomir
    Pachucki, Dawid
    Powiązania:
    https://bibliotekanauki.pl/articles/500318.pdf
    Data publikacji:
    2011
    Wydawca:
    Szkoła Główna Handlowa w Warszawie
    Tematy:
    industrial production
    business tendency survey
    short-term forecasting
    unobserved component model
    Opis:
    In the paper we are checking the explanatory power of business tendency survey data (BTS) in short-term forecasts of industrial production within the framework of the unobserved component model (UCM). It is assumed that the "unobserved cyclical component" is common for reference quantitative variable and qualitative variable. In that sense the cyclical fluctuation of industrial production can be approximated by the fluctuations of BTS indicators. We call such a specification of structural time series model the “Unobserved component model with observed cycle" (UCM-OC). To estimate the system we are using the Kalman filter technique. Then we compare the model recursive one-period ahead forecasts to the historical path of the reference series to check its out-of-sample data fit. The forecasting properties are also evaluated against alternative models, i.e. "pure" UCM and ARIMA model. The analysis was performed for Poland and selected European Union countries.
    Źródło:
    Prace i Materiały Instytutu Rozwoju Gospodarczego SGH; 2011, 86:Business Surveys, Business Cycles. Polish Contribution to the 30th CIRET Conference; 83-100
    0866-9503
    Pojawia się w:
    Prace i Materiały Instytutu Rozwoju Gospodarczego SGH
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-6 z 6

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