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Factors Influencing Fashion Consciousness in Muslim Fashion Consumption among Zillennials
(2024-01) Ocktavia, Annisa Kartika; Marenza, Silvya Eka; Al-Ayubi, Solahuddin; Maulana, Huda Kurnia; Department of Business and Economics
This study aims to analyze the factors that influence awareness of Muslim fashion consumption among Generation Z in Indonesia. Data is collected using a questionnaire using the convenience sampling method. A total of 255 final data points can be used for data analysis using SmartPLS. The results show that the style of dressing, the motivation for fashion, the uniqueness of fashion, and the source of fashion knowledge positively influence fashion awareness and indirectly influence Muslim fashion consumption. The findings from this study provide valuable insights to stakeholders in the fashion industry, including designers, retailers, and entrepreneurs, in understanding Muslim market segments. Practitioners can develop Muslim fashion products that are sharia-friendly and effectively target Muslim consumer segments through appropriate marketing strategies.
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Threads of Complexity : Lessons learnt from Predicting Student Failure through Discussion Forums’ Social-Temporal Dynamics
(International Educational Data Mining Society, 2024) Flores, Nidia G.López; Uc-Cetina, Víctor; Islind, Anna Sigridur; Óskarsdóttir, María; Demmans Epp, Carrie; Paaßen, Benjamin; Joyner, David; Department of Computer Science
Identifying students-at-risk of failing a course or dropping out of a program is a significant problem in the fields of Learning Analytics and Educational Data Mining. Improving their early detection is important for enabling higher education institutions to design and provide resources to better support students. In addition, learning is a dynamic process, where social interactions are crucial as learning is not completely an individual or static achievement. The identification of students-at-risk of failing or dropping out a course is generally an imbalanced problem, as grade distribution is affected by several elements, and failing students are not always fairly represented. This research focuses on exploring the extent to which network structure in online discussion forum interactions can inform student-at-risk predictions through node oversampling.
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How clocks shape our lives
(2020) Wu, Lisa Maria; Department of Psychology
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Community and purpose in the academy
(2026-05-12) Kristinsson, Sigurður; Faculty of Social Sciences
References to “the academic community” abound in higher-education discourse, yet the concept itself is rarely examined. This paper argues that academic community is not only an empirical phenomenon but a normative ideal essential to the moral, intellectual, and institutional purposes of higher education. Contemporary universities, however, increasingly undermine the conditions for such community through organizational professionalism, individualism, managerialism, retreat from academic citizenship, and troubled collegiality. Drawing on sociological and normative theories of community, the paper distinguishes between descriptive accounts of academic networks and a richer, value-laden conception grounded in shared purposes, intellectual virtues, and relational practices. A value-theoretical analysis shows that academic community is instrumentally, constitutively, and intrinsically connected to core academic values such as knowledge, understanding, learning, and justice, and that it contributes to human flourishing. Substantive examples from social epistemology, pedagogy, and academic debates illustrate how academic values depend on communal norms and practices. The paper argues that revitalizing academic community requires both structural reforms—reducing competitive managerial pressures and rebalancing professional reward systems—and cultural renewal grounded in generosity, shared identity, and collective responsibility. Drawing on relational moral theory, it is further argued that academic community possesses moral significance beyond its connection with academic values, as identity and solidarity generate collegial obligations central to professional life. The paper concludes that unless universities cultivate conditions in which genuine academic community can flourish, they will continue to erode the very values that justify their existence.
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The Replication Database : Documenting the Replicability of Psychological Science
(2024) Röseler, Lukas; Kaiser, Leonard; Doetsch, Christopher; Klett, Noah; Seida, Christian; Schütz, Astrid; Aczel, Balazs; Adelina, Nadia; Agostini, Valeria; Alarie, Samuel; Albayrak-Aydemir, Nihan; Aldoh, Alaa; Al-Hoorie, Ali H.; Azevedo, Flavio; Baker, Bradley J.; Lilian Barth, Charlotte; Beitner, Julia; Brick, Cameron; Brohmer, Hilmar; Prasad Chandrashekar, Subramanya; Li Chung, Kai; Cockcroft, Jamie P.; Cummins, Jamie; Diveica, Veronica; Dumbalska, Tsvetomira; Efendic, Emir; Elsherif, Mahmoud; Evans, Thomas; Feldman, Gilad; Fillon, Adrien; Förster, Nico; Frese, Joris; Genschow, Oliver; Giannouli, Vaitsa; Gjoneska, Biljana; Gnambs, Timo; Gourdon-Kanhukamwe, Amélie; Graham, Christopher J.; Hartmann, Helena; Haviva, Clove; Herderich, Alina; Hilbert, Leon P.; Holgado, Darías; Hussey, Ian; Ilchovska, Zlatomira G.; Kalandadze, Tamara; Karhulahti, Veli Matti; Kasseckert, Leon; Klingelhöfer-Jens, Maren; Richert, Elena; Department of Psychology
In psychological science, replicability—repeating a study with a new sample achieving consistent results (Parsons et al., 2022)—is critical for affirming the validity of scientific findings. Despite its importance, replication efforts are few and far between in psychological science with many attempts failing to corroborate past findings. This scarcity, compounded by the difficulty in accessing replication data, jeopardizes the efficient allocation of research resources and impedes scientific advancement. Addressing this crucial gap, we present the Replication Database (https://forrtreplications.shinyapps.io/fred_explorer), a novel platform hosting 1,239 original findings paired with replication findings. The infrastructure of this database allows researchers to submit, access, and engage with replication findings. The database makes replications visible, easily findable via a graphical user interface, and tracks replication rates across various factors, such as publication year or journal. This will facilitate future efforts to evaluate the robustness of psychological research.

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