Poziv na 73. Brown Bag seminar - Khadija Ali Vakeel
Pozivamo vas na Brown bag seminar koji će se održati u utorak 27.10.2026. u 14h na Ekonomskom fakultetu u Zagrebu u Knjižnično-dokumentacijskom centru (Knjižnica EFZG-a).
Brown bag seminar će održati Khadija Ali Vakeel (DePaul University) koja će prezentirati rad pod naslovom "From Lift to Plateau: The Breadth of AI-Involved Preparation and Platform Performance".
Kratki sažetak izlaganja:
Platform entrepreneurs increasingly use artificial intelligence (AI) across multiple production activities before releasing content into ranked environments. Broader AI involvement expands the range of features creators can modify, but existing research does not explain whether the association with platform performance should extend as AI enters additional production activities. We examine this tension using authorized platform data from one YouTube creator and 278 videos comprising repeated versions of the same underlying episodes. The videos were produced under no-AI, bounded-AI, and, within the short-form subset, extensive-AI configurations; platform performance was measured as cumulative views. Bounded AI was associated with substantially higher cumulative views than no AI, and the estimated association was larger among short-form than among long-form videos. Within the short-form subset, bounded and extensive AI had similar point estimates, and the direct extensive-versus-bounded contrast was not statistically significant. This pattern remained visible after including recorded impressions and time since publication, and the direct extensive-versus-bounded comparison did not differ statistically across observed exposure horizons. Supplementary analyses indicated that publication timing and dependence on individual matched-content groups did not readily account for the pattern. The findings distinguish expanded AI-assisted productive capability from differences in one externally evaluated outcome and direct future theory toward explaining when assistance across additional production activities corresponds with continued gains, plateaus, thresholds, or reversals in platform performance.
Platform entrepreneurs increasingly use artificial intelligence (AI) across multiple production activities before releasing content into ranked environments. Broader AI involvement expands the range of features creators can modify, but existing research does not explain whether the association with platform performance should extend as AI enters additional production activities. We examine this tension using authorized platform data from one YouTube creator and 278 videos comprising repeated versions of the same underlying episodes. The videos were produced under no-AI, bounded-AI, and, within the short-form subset, extensive-AI configurations; platform performance was measured as cumulative views. Bounded AI was associated with substantially higher cumulative views than no AI, and the estimated association was larger among short-form than among long-form videos. Within the short-form subset, bounded and extensive AI had similar point estimates, and the direct extensive-versus-bounded contrast was not statistically significant. This pattern remained visible after including recorded impressions and time since publication, and the direct extensive-versus-bounded comparison did not differ statistically across observed exposure horizons. Supplementary analyses indicated that publication timing and dependence on individual matched-content groups did not readily account for the pattern. The findings distinguish expanded AI-assisted productive capability from differences in one externally evaluated outcome and direct future theory toward explaining when assistance across additional production activities corresponds with continued gains, plateaus, thresholds, or reversals in platform performance.
O izlagačici:
Khadija Ali Vakeel (khadija.vakeel@depaul.edu) is an associate professor in the Department of Management and Entrepreneurship at the Driehaus College of Business at DePaul University. She completed her postdoctoral fellowship at Spiegel Digital and Database Research Center at Northwestern University. She earned her Ph.D. in Information Systems Management from the Indian Institute of Management Indore. Her research interests are in the area of digital platforms and artificial intelligence. Her research appears in top-tier journals, including Decision Support Systems, Journal of Retailing, Journal of Advertising, and Journal of Service Management. Her research has received several awards, such as the Robert Johnston Best Paper Award and the Emerald Literati Award for her article in the Journal of Service Management, the Journal of Advertising Best Paper Award, the Most Influential Article award by the American Academy of Advertising Journals, and the INFORMS Regional Researcher of the Year award.O Brown Bag seminaru:
Brown bag seminar (BBS) predstavlja neformalnu radionicu u trajanju od sat vremena s ciljem prezentiranja istraživanja u različitim fazama izrade (ideje, zaokruženi teorijski okvir, provedena empirijska istraživanja, itd.), promicanja diskusije i stvaranja stimulativnog okruženja usmjerenog konstruktivnoj raspravi između izlagačice/-a i preostalih sudionika seminara. Osnovna ideja BBS-a jest stvoriti platform na kojoj će, minimalno jednom mjesečno, zaposlenici EFZG-a dobiti priliku prezentirati ideje i članke na kojima rade u sklopu svog znanstveno-istraživačkog rada. Pozivamo vas da se odazovete i pomognete svojim konstruktivnim komentarima izlagačicama/-ima, te sami izložite teme na kojim trenutno radite, neobjavljene radove ili prezentirate istraživačke ideje o kojima razmišljate.
Zamišljeno je da prezentacije (na engleskom ili na hrvatskom jeziku - zavisno od preferencija izlagačice/-a) traju 30-40 min, nakon čega slijedi diskusija.