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Publication Index: ScopusSubject: Systematic Literature Review

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Now showing 1 - 3 of 3
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    Article
    Mobile Payment Adoption During the COVID-19 Pandemic: A Systematic Literature Review
    (Palgrave Macmillan Ltd, 2026) Belbag, Aybegum Gungordu
    During the pandemic, the shift to non-physical transactions increased the need for mobile payments. This study aims to offer a systematic literature review on consumer behavior towards mobile payment during the pandemic, using the Theory, Context, Characteristics, and Methodology framework and following the Scientific Procedures and Reasons for Systematic Literature Reviews protocol. 47 articles from the WOS database were analyzed, revealing a dominance of quantitative studies, primarily based on the Technology Acceptance Model and UTAUT. Findings show that environmental stimuli and internal states (organism) shape behaviors and behavioral intentions (responses) towards mobile payments during the pandemic. The study concludes with future research directions grounded in the TCCM framework.
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    Hybrid AI-Driven Decision Model for Test Automation in Agile Software Development
    (Institute of Electrical and Electronics Engineers Inc., 2025) Bon, Mohammad; Yazici, Ali
    Test automation plays an essential role in Agile Software Development (ASD), but its implementation remains complex. This study conducts a Systematic Literature Review (SLR) to identify key points of test automation and recent developments in Artificial Intelligence (AI). Based on 21 factors proposed by Butt et al., we construct a three-phase decision-support model addressing software, tools, tests, human, and economic dimensions. To improve this model, modern AI techniques - including natural language processing (NLP), machine learning (ML), Mabl (a self-healing, AI-based test automation tool) and Parasoft Selenic - are used. These technologies automate test case generation, prioritization, and maintenance, aligning with Agile's fast-paced demands. Our proposed hybrid model applies NLP to identify effecting factors, ML for impact scoring, and reinforcement learning (RL) for guiding automation strategies. The goal is to decrease manual processes, improve decision accuracy, and to adapt to evolving requirements. However, challenges such as data quality and the need for AI expertise remain. Future work should focus on practical validation and explore applications in non-functional testing. This study offers a practical, AI-enhanced framework to support Agile teams in streamlining test automation. © 2025 IEEE.
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    Consumer Behavior and Sustainability: What Role Does Eco-Friendly Packaging Play in Emerging Markets
    (Emerald Publishing, 2025) Güngördü Belbağ, A.
    Purpose – This study aims to offer a systematic review of eco-friendly packaged products from the consumer perspective in emerging markets. Design/methodology/approach – This study analyzed 47 Web of Science and SCOPUS articles using the PRISMA and theory-context-characteristics-methodology (TCCM) framework. Findings – This systematic review shows that prior research was mainly quantitative and relied heavily on the theory of planned behavior. This study categorized the articles by personal, product, price, place, promotion and external factors. Research primarily focused on personal factors, especially values and attitudes. Place-related factors were the least studied. Few studies explored mediators and moderators of purchase intention. Originality/value – This study shifts the focus of eco-friendly packaging research toward the consumer perspective, which was underexplored in the existing literature, particularly in emerging markets. While prior studies have primarily centered on manufacturers, this review synthesizes prior research showing that consumer behavior, knowledge and perception play a critical role in advancing sustainability and circular economy goals. This systematic review is the first to address this gap in emerging markets and offers implications for policymakers and businesses aiming to promote sustainable consumption in diverse socioeconomic settings. © 2025 Emerald Publishing Limited