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    Wyświetlanie 1-3 z 3
    Tytuł:
    Evaluation of final buyers expectations to new food products
    Autorzy:
    Białoskurski, S.
    Powiązania:
    https://bibliotekanauki.pl/articles/105728.pdf
    Data publikacji:
    2015
    Wydawca:
    Centrum Badań i Innowacji Pro-Akademia
    Tematy:
    consumer expectations
    new product
    final buyer
    food
    oczekiwania klientów
    nowy produkt
    finalny nabywca
    jedzenie
    Opis:
    The article presents the problem of new food products in the context of their evaluation in terms of the expectations of final buyers. The author of the article has performed a comparative analysis of food products currently offered against the expectations of final buyers. In addition, the research made it possible to ascertain the characteristics new food products should have in order to better meet the needs of food buyers. In this way, the article outlines potential directions of the activities of providers in shaping new food products. The research was carried out among Polish final food buyers. The research sample included two selected voivodeships (Lubelskie and Mazowieckie).
    Źródło:
    Acta Innovations; 2015, 15; 35-44
    2300-5599
    Pojawia się w:
    Acta Innovations
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Improving Products Considering Customer Expectations and Life Cycle Assessment (Lca)
    Autorzy:
    Pacana, Andrzej
    Siwiec, Dominika
    Powiązania:
    https://bibliotekanauki.pl/articles/27323567.pdf
    Data publikacji:
    2023
    Wydawca:
    Stowarzyszenie Menedżerów Jakości i Produkcji
    Tematy:
    LCA
    life cycle assessment
    quality
    customer expectations
    mechanical engineering
    ocena cyklu życia
    jakość
    oczekiwania klientów
    inżynieria mechaniczna
    Opis:
    Dynamically identifying key product changes is a challenge for enterprises. It is even more complicated if companies strive for the sustainable development of their activities. Therefore, the aim of the article was to develop a method to help predict the direction of product improvement, taking into account its quality level and environmental impact during the life cycle (LCA). The method was based on the design phase of LCA and the process of obtaining and processing customer expectations. Techniques supporting the developed method were: a questionnaire, a seven-point Likert scale, a standardised list of criteria for assessing the product life cycle, the WSM method, and a scale of relative states. The product analysis was carried out according to modified criteria states, which were evaluated according to: i) customer satisfaction (quality criteria), ii) environmental impact of LCA (environmental criteria), and iii) importance of quality and environmental criteria for customers. The originality of the method is to support the product improvement process to make it environmentally friendly within LCA and, at the same time, satisfactory to customers in terms of quality. The method will be used mainly by SMEs that want to initially predict the environmental impact of a product, including taking into account customer expectations.
    Źródło:
    System Safety : Human - Technical Facility - Environment; 2023, 5, 1; 19-27
    2657-5450
    Pojawia się w:
    System Safety : Human - Technical Facility - Environment
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Approach to predict product quality considering current customers’ expectations
    Autorzy:
    Siwiec, Dominika
    Pacana, Andrzej
    Bednárová, Lucia
    Powiązania:
    https://bibliotekanauki.pl/articles/27313593.pdf
    Data publikacji:
    2022
    Wydawca:
    Politechnika Śląska. Wydawnictwo Politechniki Śląskiej
    Tematy:
    predict
    product quality
    decision support
    naïve Bayesian classifier
    weighted sum model
    customer expectations
    przewidywanie
    jakość produktu
    wspomaganie decyzji
    naiwny klasyfikator Bayesa
    metoda sumy ważonej
    oczekiwania klientów
    Opis:
    Purpose: The purpose was to develop an approach to predict product quality considering current customers' expectations. Design/methodology/approach: The approach includes integrated techniques, i.e.: SMART(-ER) method, a questionnaire with the Likert scale, brainstorming (B&M), WSM method, and Naïve Bayes Classifier. This approach refers to obtaining customers' expectations for satisfaction from the current quality of products and the importance of these criteria. Based on the satisfaction of customers, the quality of the product was estimated and classified. Then, the quality of the product was predicted for current customers. Findings: It was shown that it is possible to predict product quality based on current customer expectations, and so based on the current existing product. Research limitations/implications: The proposed approach does not include the possibilities of determining the expected quality of the product. The approach focuses on predicting customers' satisfaction with the current quality of the product. Therefore, if there is a need for improvement actions, further analyzes should be carried out to determine which criteria should be modified and how. Practical implications: The presented approach can be used for any product. Therefore, it is a useful tool for any kind of organization, which strives to meet customer satisfaction. Despite the possibility to predict the quality of the product, the proposed approach can indicate at an early stage to the organization that it is necessary to make improvement actions. Social implications: It is possible to reduce the waste of resources by predicting that improvement actions are necessary. Moreover, the approach supports an entity (e.g., expert, enterprise, interested parties) in predicting current customers' satisfaction. Originality/value: Originality is predicting product quality based on current customers' expectations. A new combination of quality management techniques, decision support, and machine learning was implemented.
    Źródło:
    Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska; 2022, 155; 461--472
    1641-3466
    Pojawia się w:
    Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-3 z 3

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