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    Tytuł:
    Can I trust my AI friend? The role of emotions, feelings of friendship and trust for consumers information-sharing behavior toward AI
    Autorzy:
    Pelau, Corina
    Dabija, Dan-Cristian
    Stanescu, Mihaela
    Powiązania:
    https://bibliotekanauki.pl/articles/39989038.pdf
    Data publikacji:
    2024
    Wydawca:
    Instytut Badań Gospodarczych
    Tematy:
    artificial intelligence
    consumers
    self-disclosing behavior
    empathy
    friendship
    Opis:
    Research background: AI devices and robots play an increasingly important role in consumers’ everyday life, by accompanying the consumer all day long. This presence has several utilitarian and social benefits, but at the same time the optimal functioning of AI requires personal information from the consumer. Purpose of the article: Starting from the premise that people share more information with friends, we have tested empirically whether an emotional behavior of AI can evoke the same emotions in the relationship between consumers and their AI devices, leading to a higher self-disclosing behavior. Methods: To validate the proposed hypotheses, three mediation models were tested using structural equation modelling in Smart-PLS 3.3.3, based on data collected with the help of an online survey.  Findings & value added: We prove empirically that AI’s emotional behavior can increase consumers’ trust, it can evoke feelings of friendship and it can determine a higher perceived control over the shared private information, thus leading to lower perceived threats regarding the consumers’ vulnerability and exposure related to sharing of private data. These results have important implications for designing consumer-AI interactions.
    Źródło:
    Oeconomia Copernicana; 2024, 15, 2; 407-433
    2083-1277
    Pojawia się w:
    Oeconomia Copernicana
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Generating loyalty towards fast fashion stores: a cross-generational approach based on store attributes and socio-environmental responsibility
    Autorzy:
    Dabija, Dan Cristian
    Câmpian, Veronica
    Pop, Anna-Rebeka
    Băbuț, Raluca
    Powiązania:
    https://bibliotekanauki.pl/articles/19322629.pdf
    Data publikacji:
    2022
    Wydawca:
    Instytut Badań Gospodarczych
    Tematy:
    fast fashion
    retail stores
    socio-environmental responsibility
    loyalty
    sustainability
    CSR
    environmental protection
    S-O-R model
    generational theory
    Opis:
    Research background: Faced with multiple media scandals concerning the pollution resulting from manufacturing activities, and encouraging the overconsumption of clothing, international fast fashion retailers have often had to resort to the elaboration and implementation of sustainable strategies aimed at environmental protection and reducing resource consumption. Generating customer satisfaction and loyalty depends increasingly on the extent to which retailers manage to employ socio-environmental responsibility besides the traditional retail store attributes. The purpose of this article: The objective of the paper is to evaluate the influence of consumer-oriented store attributes in generating satisfaction and loyalty towards the fast fashion store, highlighting the influence of socio-environmental responsibility on the two constructs. Methods: Based on the literature review, a conceptual model considering the effects of stores' attributes on store satisfaction and store loyalty and influenced by socio-environmental responsibility is proposed. Data were collected with the help of face-to-face administrated questionnaires before the outbreak of the COVID-19 pandemic in an emerging market (Romania). The data were analyzed via structural equation modeling in SmartPLS, for the three considered consumer generations: Generation X, Millennials and Generation Z. Findings & value added: For all consumer generations, all store attributes contribute to the direct generation of fast fashion store satisfaction and store loyalty; nevertheless, the intensity varies in levels of significance. Socio-environmental responsibility does not significantly determine store satisfaction, but does have a strong influence on fast fashion store loyalty. The results detailed according to the generations indicate a similar situation: each store attribute influences the satisfaction of one or other generation, apart from socio-environmental responsibility. This work makes an essential contribution to the extension of the generational theory, highlighting the various individualities, perceptions, and behaviors. This cross-generational research broadens knowledge on how different consumer generations behave when shopping from fast fashion stores. The research also extends the S-O-R model, which is used to understand the relationship between store attributes (stimulus), consumer satisfaction (organism), and consumer loyalty (response) towards fast fashion stores.
    Źródło:
    Oeconomia Copernicana; 2022, 13, 3; 891-934
    2083-1277
    Pojawia się w:
    Oeconomia Copernicana
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    The impact of artificial intelligence (AI) on employees’ skills and well-being in global labor markets: A systematic review
    Autorzy:
    Cramarenco, Romana Emilia
    Burcă-Voicu, Monica Ioana
    Dabija, Dan Cristian
    Powiązania:
    https://bibliotekanauki.pl/articles/19901816.pdf
    Data publikacji:
    2023
    Wydawca:
    Instytut Badań Gospodarczych
    Tematy:
    artificial intelligence (AI)
    employees
    skills
    digital skills
    upskilling
    reskilling
    well-being
    Opis:
    Research background: This article discusses how artificial intelligence (AI) is affecting workers' personal and professional lives, because of many technological disruptions driven by the recent pandemic that are redefining global labor markets. Purpose of the article: The objective of this paper is to develop a systematic review of the relevant literature to identify the effects of technological change, especially the adoption of AI in organizations, on employees’ skills (professional dimension) and well-being (personal dimension). Methods: To implement the research scope, the authors relied on Khan's five-step methodology, which included a PRISMA flowchart with embedded keywords for selecting the appropriate quantitative data for the study. Firstly, 639 scientific papers published between March 2020 to March 2023 (the end of the COVID-19 pandemic according to the WHO) from Scopus and Web of Science (WoS) databases were selected. After applying the relevant procedures and techniques, 103 articles were retained, which focused on the professional dimension, while 35 papers were focused on the personal component. Findings & value added: Evidence has been presented highlighting the difficulties associated with the ongoing requirement for upskilling or reskilling as an adaptive reaction to technological changes. The efforts to counterbalance the skill mismatch impacted employees' well-being in the challenging pandemic times. Although the emphasis on digital skills is widely accepted, our investigation shows that the topic is still not properly developed. The paper's most significant contributions are found in a thorough analysis of how AI affects workers' skills and well-being, highlighting the most representative aspects researched by academic literature due to the recent paradigm changes generated by the COVID-19 pandemic and continuous technological disruptions.
    Źródło:
    Oeconomia Copernicana; 2023, 14, 3; 731-767
    2083-1277
    Pojawia się w:
    Oeconomia Copernicana
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
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