Σύγκριση μεθόδων

	Συστηματική βιβλιογραφική ανασκόπηση με χρονικές φέτες	Συστηματική Βιβλιογραφική Ανασκόπηση
Πεδίο	Επιστημομετρία	Επιστημομετρία
Οικογένεια	Process / pipeline	Process / pipeline
Έτος προέλευσης	2010s	1993 (Cochrane Collaboration); 2004 (Kitchenham SLR guidelines)
Δημιουργός	Adapted from systematic review methodology; temporal segmentation formalized in bibliometric practice (Zupic & Cater, 2015; Aria & Cuccurullo, 2017)	Archie Cochrane (conceptual foundation); formalized by the Cochrane Collaboration (1993) and Barbara Kitchenham in software engineering (2004)
Τύπος	Systematic review variant with temporal segmentation	Evidence synthesis methodology
Θεμελιώδης πηγή	Zupic, I., & Cater, T. (2015). Bibliometric Methods in Management and Organization. Organizational Research Methods, 18(3), 429–472.	Kitchenham, B. (2004). Procedures for Performing Systematic Reviews. Keele University Technical Report TR/SE-0401.
Εναλλακτικές ονομασίες	temporal systematic review, period-based systematic review, chronological systematic review, time-segmented literature review	SLR, systematic review, evidence synthesis review, structured literature review
Συναφείς	5	5
Σύνοψη	A time-sliced systematic literature review applies the rigorous search, screening, and synthesis protocol of a standard systematic review while dividing the retrieved corpus into discrete temporal periods — time slices — and analyzing each period separately. This design reveals how a research field has developed across time: which topics emerged, grew, or declined; how key authors and journals shifted; and how intellectual structures evolved from one era to the next.	A systematic literature review (SLR) is a structured, reproducible method for identifying, appraising, and synthesizing all relevant studies on a research question. Unlike a narrative review, it follows an explicit, pre-specified protocol — from database search strings through inclusion criteria to data extraction — so that the process is transparent, auditable, and replicable by other researchers. It is widely used in medicine, education, software engineering, and the social sciences to produce the most comprehensive possible evidence base on a topic.