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Osuva on Vaasan yliopiston avoin julkaisuarkisto. Osuva sisältää Vaasan yliopiston omat julkaisut, opinnäytteet ja tieteellisten artikkeleiden rinnakkaistallenteet. Osuvaan sisältyy julkaisujen viitetietoja, tiivistelmiä ja kokotekstejä. Sähköisten arkistokokoelmien sisältö ei ole luettavissa verkossa.

Kokoelmat Osuvassa

Viimeksi tallennetut

  • Handbook of Virtual Nature Interventions : Insights from the NATUREACH Project (2023–2025)
    Niemi, Martta (toim.); Bohlin, Elisabet (toim.) (Vaasan yliopisto, 2026)
    Kirja
  • Big Data Analytics and Green Core Competencies: Important Role of Data-Driven Decision-Making Culture and Leader Conscientiousness
    Usman, Muhammad; Zahoor, Nadia; Boğan, Erhan; Akhtar, Muhammad Waheed; Dedeoğlu, Bekir (IEEE, 2026)
    Artikkeli
    Given the growing emphasis on business sustainability and environmental management aimed at protecting the natural environment, this study, drawing insights from organizational information processing theory, investigates the direct association of artificial intelligence-supported Big Data analytics (AI-BDA) with organizations’ green core competencies as well as the indirect association through green data-driven decision-making culture (GDDC). In addition, the role of leader conscientiousness as an important boundary condition is examined. Data collected from 339 managers is analyzed using structural equation modeling in Mplus (8.8). Our findings indicate that AI-BDA has both direct and indirect positive relationships with green core competencies. Moreover, leader conscientiousness moderated the direct impact of AI-BDA on GDDC. Supplementary semi-structured interviews with 12 senior managers provide contextual validation and illustrate how AI-BDA, green data-driven culture, and leader conscientiousness jointly shape green core competencies in practice. Our research provides actionable insights that empower organizations to develop green core competencies, thereby enhancing their impact on initiatives aimed at preserving the natural environment. By integrating technological capabilities with leadership traits, this study highlights a pathway for organizations to align digital transformation with environmental sustainability goals, thereby advancing their corporate responses to environmental challenges.
  • AI-Driven solutions for industrial sustainability: The capabilities you need to succeed
    Sjödin, David; Parida, Vinit; Kohtamäki, Marko (Institute for Management of Innovation and Technology (IMIT), 2025)
    Artikkeli
  • Generic Bills-of-Materials-Operations-Sustainability (GBOMOS) for Reconfigurable Green Manufacturing: A Cognitive Intelligent Reasoning Pilot through Retrieval Augmented Generation (RAG)
    Jiao, Catherine K.; Song, Mulang; Fei, Yiyun (Cindy); Wang, Shu; Mayanti, Bening (IEOM Society, 2025)
    Artikkeli
    Green manufacturing extends traditional manufacturing planning from the cost or utilization dimension to incorporating sustainability assessment. Product variety and planning of process reconfigurations are critical in green manufacturing sustainability assessment because different manufacturing processes have varying environmental impacts. It is imperative to incorporate sustainability assessment cohesively with process planning to optimize resources and select the right processes that ensure minimal waste and efficient material utilization while meeting sustainability goals. This paper proposes a generic bills-of-materials-operations-sustainability (GBOMOS) data model for integrating product, process and sustainability configuration into a unified framework. Adopting a cognitive intelligent reasoning approach using Large Language Models (LLMs) and knowledge graphs, the paper implements a pilot system of integrated product, process and sustainability configuration to support cognitive intelligent reasoning for domain applications of LCA assessment.
  • The Impact of Seasonal Affective Disorder on Stock Markets
    Mannil, Mira (2026-03-03)
    Kandidaatintutkielma
    This thesis aims to examine the impact of Seasonal Affective Disorder (SAD) on stock markets. In particular, the study examines whether stock returns are significantly lower during periods of reduced daylight hours and whether the SAD effect appears asymmetrically between the autumn and winter seasons. Such deviations from market efficiency may have significant economic consequences in financial markets if they systematically influence investor behavior. The SAD phenomenon has been shown to have a significant association with seasonal variation in stock markets. A decrease in daylight hours affects investors’ mood and increase risk aversion, which is reflected in stock returns. The SAD effect is stronger in the Northern Hemisphere, where seasonal changes in daylight hours are more pronounced. Furthermore, some studies suggest that the SAD effect is asymmetric around the winter solstice: risk-taking decreases during the autumn, whereas the winter season progresses, it begins to recover. On the other hand, the literature also presents critical perspectives according to which the observed seasonality may be explained by other calendar anomalies or by time-varying risk premia.Tämän tutkielman tarkoituksena on tarkastella kausiluonteinen masennushäiriön (seasonal affective disorder, SAD) vaikutusta osakemarkkinoihin. Erityisesti tutkimuksessa selvitetään, ovatko osaketuotot merkitsevästi alhaisempia vähäisen päivänvalon tuntien kausina sekä ilmeneekö SAD-vaikutus epäsymmetrisenä syys- ja talvikauden välillä. Tällaisilla markkinatehokkuuden poikkeamilla voi olla huomattavia taloudellisia seurauksia rahoitusmarkkinoilla, mikäli ne vaikuttavat systemaattisesti sijoittajien käyttäytymiseen. SAD-ilmiöllä on havaittu olevan merkittävä yhteys osakemarkkinoiden kausivaihteluun. Päivänvalon tuntien väheneminen vaikuttaa sijoittajien mielialaan ja lisätä riskinkarttamista, mikä heijastuu osaketuottoihin. SAD-vaikutus on voimakkaampi pohjoisella pallonpuoliskolla, jossa päivänvalon tuntien kausittaiset muutokset ovat selkeämpiä. Lisäksi osa tutkimuksista viittaa siihen, että SAD-vaikutus on epäsymmetrinen talvipäivänseisauksen suhteen: syksyllä riskinottohalukkuus heikkenee, kun taas talvikauden edetessä se alkaa palautua. Toisaalta kirjallisuudessa on myös kriittisiä näkökulmia, joiden mukaan havaittu kausivaihtelu saattaa selittyä muilla kalenterianomalioilla tai ajassa vaihtelevalla riskipreemiolla.