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Found 6278 publications
From scroll to sale: Predicting of customer engagement in impulse buying cycle on TikTok through the S-O-R model
Publication Name: Acta Psychologica
Publication Date: 2026-02-01
Volume: 262
Issue: Unknown
Page Range: Unknown
Description:
The popularity of TikTok is evident on a global scale, leading to its adoption by numerous companies as a promotional platform. The Stimulus - Organization - Reaction model has been validated in its capacity to describe the purchase process. The present study investigates the Hungarian manifestations of the factors of this model to develop a forecasting method that will allow for prediction of the success of TikTok impulse purchase marketing strategies. The prediction method under analysis is based on factor and regression analyses and validation. The exploratory part utilizes a questionnaire survey of 283 Hungarian university students. The validity of the results is measured on a different university sample of 104 active users of TikTok and users of alternative social media platforms. The findings indicate that the factors comprising the impulse purchase cycle involvement include the urge to buy impulsively, utilitarian value, perceived similarity, and co-promotion. The validation process revealed that the rates of agreement with the predictions among TikTok users exceeded 90 %, while the rate among users of other social media platforms reached over 80 %. The principal strength of this study lies in its quantification and transformation of questionnaire data into a pivotal key performance indicator suitable for companies.
Open Access: Yes
From waste to wealth: innovations in the recovery of bioactive compounds from agro-food by-products
Publication Name: European Food Research and Technology
Publication Date: 2026-02-01
Volume: 252
Issue: 2
Page Range: Unknown
Description:
The valorization of food waste biomass for the extraction of bioactive compounds presents a sustainable solution to global food waste challenges while offering significant economic and environmental benefits. This review comprehensively examines advanced green extraction technologies such as ultrasound-assisted extraction (UAE), microwave-assisted extraction (MAE), supercritical fluid extraction (SFE), and enzyme-assisted extraction (EAE) for recovering polyphenols, carotenoids, flavonoids, and other high-value compounds from fruit, vegetable, cereal, and animal-derived waste. Highlighting optimized extraction parameters showed that modern techniques outperform conventional methods in yield, efficiency, and cost-effectiveness, with UAE reducing manufacturing costs by up to 84% compared to Soxhlet extraction. The review also addresses pretreatment strategies, purification innovations (e.g., flash chromatography), and emerging solvents like natural deep eutectic solvents (NADES) with lower environmental impact, higher efficiency, recyclability and biodegradability. Challenges such as contamination risks, temperature sensitivity, and scalability are critically analyzed, alongside future directions integrating nanotechnology, artificial intelligence, and hybrid extraction systems. By bridging gaps in waste classification, compound identification, and process optimization, this study underscores the potential of food waste as a resource for pharmaceuticals, nutraceuticals, and functional foods, aligning with circular economy goals and sustainable development.
Open Access: Yes
US financial stress, regional spillovers, and global economic policy uncertainty
Publication Name: Finance Research Letters
Publication Date: 2026-02-01
Volume: 89
Issue: Unknown
Page Range: Unknown
Description:
We study how financial stress originating in the United States (US), Advanced Economies (ADV), and Emerging Markets (EM) relates to movements in Economic Policy Uncertainty (EPU). Using monthly data for 2000-2024, we estimate horizon-specific responses to ΔEPU to one-standard-deviation innovations in ΔFinancial Stress Index (FSI) via Jordà (2005) local projections with four lags and standard controls ΔBloomberg Commodity Index (BCOM), ΔFederal Funds Rate (FEDFUNDS), ΔU.S. Dollar Index (DollarIdx), ΔCBOE Volatility Index (VIX). Across regions, the impact coefficient is negative,indicating that stress shocks are associated with an immediate reduction in the month-over-month change of EPU. Beyond impact, responses are small in magnitude, yielding limited persistence; cumulative effects over six months are modest and typically encompassed by wide confidence bands. Taken together, the evidence suggests that policy-uncertainty index adjusts quickly to stress realizations, with little systematic propagation at monthly horizons. This transience is most consistent with information/communication channels whereby policy guidance and rapid market repricing compress subsequent uncertainty innovations, while allowing for regional heterogeneity.
Open Access: Yes
Examining the Role of Accountant’s Knowledge of Forensic Accounting, Corporate Governance Policies and Fraud Awareness Training in Preventing Fraud: A Survey of Indian Corporates
Publication Name: Journal of Risk and Financial Management
Publication Date: 2026-02-01
Volume: 19
Issue: 2
Page Range: Unknown
Description:
Corporate fraud remains a persistent problem that highlights the need for improved internal control and governance. Research on corporate governance (CG) and forensic accounting (FA) has been largely performed as separate studies. Little has been done to look at how accountants’ knowledge and the specific training of accountants in fraud awareness for their company’s leaders affect preventing fraud (FP). The study surveyed 150 accountants in India from April 2023 to May 2024. The results are based on Chi-Square testing and binary logistic regression. The study investigated how companies in India incorporate CG policy understanding and FG use for KMP and boards and how these factors affect FP. The findings indicate that understanding CG, using FA, and having specific training on fraud awareness for KMPs and boards of directors are all significant factors in reducing the occurrence of fraud. In addition, general employee training has no impact on FP. The theories of agency, stakeholder, and fraud triangle were combined to create one model to provide guidance to both organizations and regulators on how to institutionalize FG and to improve transparency in governance.
Open Access: Yes
DOI: 10.3390/jrfm19020118
Noise, Vibration, and Harshness (NVH) Challenges in Hydrogen Internal Combustion Engine Vehicles
Publication Name: Energy Science and Engineering
Publication Date: 2026-02-01
Volume: 14
Issue: 2
Page Range: 1067-1080
Description:
This paper presents a state-of-the-art literature review on noise, vibration, and harshness (NVH) in hydrogen-fuelled internal combustion engines. Studies published between 2011 and 2025 were screened, covering fundamental flame physics, test-bench work, and recent prototype vehicles. The review links hydrogen's core properties—high flame speed, wide flammability, low ignition energy, strong diffusivity—to specific NVH outcomes such as rapid pressure rise, knock, back-fire, and block resonance. For each pathway we summarise measured noise levels, vibration signatures, and psycho-acoustic findings. Mitigation methods are then grouped: lean premixing, direct injection, adaptive ignition timing, exhaust tuning, and structural damping. Results show that, with these measures, hydrogen engines can approach the NVH envelope of modern gasoline units. Remaining gaps lie in long-term durability under high-frequency loading and in full-vehicle sound quality. Overall, the review clarifies current knowledge, highlights consistent trends, and points to research still needed for quiet, smooth hydrogen mobility.
Open Access: Yes
DOI: 10.1002/ese3.70400
Digital Resilience and the “Awareness Gap”: An Empirical Study of Youth Perceptions of Hate Speech Governance on Meta Platforms in Hungary
Publication Name: Journal of Cybersecurity and Privacy
Publication Date: 2026-02-01
Volume: 6
Issue: 1
Page Range: Unknown
Description:
Online hate speech poses a growing socio-technological threat that undermines democratic resilience and obstructs progress toward Sustainable Development Goal 16 (SDG 16). This study examines the regulatory and behavioral dimensions of this phenomenon through a combined legal analysis of platform governance and an empirical survey conducted on Meta platforms, based on a sample of young Hungarians (N = 301, aged 14–34). This study focuses on Hungary as a relevant case study of a Central and Eastern European (CEE) state. Countries in this region, due to their shared historical development, face similar societal challenges that are also reflected in the online sphere. The combination of high social media penetration, a highly polarized political discourse, and the tensions between platform governance and EU law (the DSA) makes the Hungarian context particularly suitable for examining digital resilience and the legal awareness of young users. The results reveal a significant “awareness gap”: While a majority of young users can intuitively identify overt hate speech, their formal understanding of platform rules is minimal. Furthermore, their sanctioning preferences often diverge from Meta’s actual policies, indicating a lack of clarity and predictability in platform governance. This gap signals a structural weakness that erodes user trust. The legal analysis highlights the limited enforceability and opacity of content moderation mechanisms, even under the Digital Services Act (DSA) framework. The empirical findings show that current self-regulation models fail to empower users with the necessary knowledge. The contribution of this study is to empirically identify and critically reframe this ‘awareness gap’. Moving beyond a simple knowledge deficit, we argue that the gap is a symptom of a deeper legitimacy crisis in platform governance. It reflects a rational user response—manifesting as digital resignation—to opaque, commercially driven, and unaccountable moderation systems. By integrating legal and behavioral insights with critical platform studies, this paper argues that achieving SDG 16 requires a dual strategy: (1) fundamentally increasing transparency and accountability in content governance to rebuild user trust, and (2) enhancing user-centered digital and legal literacy through a shared responsibility model. Such a strategy must involve both public and private actors in a coordinated, rights-based approach. Ultimately, this study calls for policy frameworks that strengthen democratic resilience not only through better regulation, but by empowering citizens to become active participants—rather than passive subjects—in the governance of online spaces.
Open Access: Yes
DOI: 10.3390/jcp6010003
Exercise addiction revisited: From symptoms to treatment
Publication Name: Theory and Psychology
Publication Date: 2026-02-01
Volume: 36
Issue: 1
Page Range: 68-89
Description:
This paper critically examines “exercise addiction,” a form of dysfunctional exercise behavior often mischaracterized as “exercise dependence.” While dependence is part of addiction, compulsion plays an equally significant role. Unlike substance-based addictions, exercise addiction involves delayed gratification achieved through intense physical effort. It often includes a masochistic drive to uphold self-imposed personal standards or maintain a positive social image. This addiction presents unique symptoms and significant challenges in assessment, as evaluations among healthy exercisers only yield questionnaire-based “risk” scores. The rate at which such high-risk scores turn into morbidity is unknown. Thus, the literature can be misleading via an artificial connection between research-based risk scores and clinically problematic cases. Indeed, such cases typically surface in clinics, not research settings. This complex and diverging path between research endeavors and applied medicine hinders the gathering of robust evidence for exercise addiction being a mental dysfunction, which is the reason why it is currently not classified as a dysfunction in the DSM-5. This paper clarifies exercise addiction and presents evidence for problematic cases based on symptoms and areas of self-harm. Furthermore, the paper distinguishes between commitment and addiction to exercise, presenting the most common theoretical models for exercise addiction. Finally, the work forwards a hierarchical 10-stage treatment framework. Overall, the paper emphasizes the urgent need for close collaboration between researchers and clinicians to accurately classify and address this complex behavioral disorder.
Open Access: Yes
Consumption patterns in urban sophisticate branding. A qualitative perspective on its psychological foundations
Publication Name: Acta Psychologica
Publication Date: 2026-02-01
Volume: 262
Issue: Unknown
Page Range: Unknown
Description:
The emergence of the urban sophisticate consumer has led to changing consumption patterns in the global retail landscape. While there has been a surge in academic literature examining various aspects of urban sophistication, empirical studies examining the attributes of the urban sophisticated consumer in the context of fashion apparel, fashion accessories, and grooming products still need to be included. This study investigates the concept of ‘urban sophisticate’ consumers in the context of marketing, branding, and retailing for the first time. It has proposed a conceptual framework for retailing to urban sophisticates through a qualitative inductive method based on the empirical analysis of the open essay-based responses collected from working men in the UK. The factors making this consumer segment lucrative for retailers include high spending power, focus on appearance, desire for quality, and the availability of unique products as per their preferences. Urban sophisticate consumers prefer modern, high-end fashion items and have shown displeasure towards unsustainable fast fashion. The study's findings will benefit grooming product companies, fashion apparel and accessories marketers, and retailers by providing insights into the behaviour of urban sophisticate consumers. Furthermore, this study could be a turning point to elicit marketers' experimentation in designing new products and expanding their product base to include additional product offerings that could interest urban sophisticates.
Open Access: Yes
AI-neural network modelling of Williamson blood flow in porous medium Soret-Dufour effects with tetra hybrid nanoparticles
Publication Name: International Communications in Heat and Mass Transfer
Publication Date: 2026-02-01
Volume: 171
Issue: Unknown
Page Range: Unknown
Description:
This manuscript delineates a thorough study on the heat and mass transfer phenomenon of the Williamson fluid flow embedded with a tetra-hybrid nanofluid evaluating a wide range of considered and physical effects such as magnetohydrodynamics (MHD), porous medium, radiative heat flux, Joule heating, Soret and Dufour effects, and a Stefan blowing parameter at the boundary, and the rest. A tetra-hybrid nanofluid containing nanofluid gold (Au), silver (Ag), titanium dioxide (TiO₂), and aluminium oxide (Al₂O₃) is used for the improvement of significant thermal and mass transport characteristics. In the back, the demand for efficient thermal systems relates to sets with multiple, integrated transport mechanisms; however, the synergistic transport mechanisms have been largely unexplored, and the coupled hybrid advanced dimensions nanofluids have been unexplored in terms of their combined influences on these parameters. The core target was to examine the active relationships within the physical dynamics parameters while also evaluating the relative increases in the velocity, temperature, and concentration. This paper employs a robust computational approach to the study by solving the governing systems of non-linear ordinary differential equations using an appropriate method of similarity transformation and subsequent numerical techniques. The integration of artificial neural network (ANN) models within this spectrum for the first time, with predictions and optimization set for the outputs, adds a new dimension to this work. The data show that incorporating Soret and Dufour effects, along with the tetra-hybrid nanoparticles, markedly increases the Nusselt and Sherwood numbers, indicating improved heat and mass transfer rates. Furthermore, streamline plots are created to illustrate alterations in the flow structure induced by the Soret and Dufour parameters. This research makes valuable contributions to the development of refined cooling technologies, particularly in energy, chemical, and other process-oriented industries, highlighting the practical utility and innovation potential of the synergistic application of artificial neural networks alongside sophisticated nanofluid models.
Open Access: Yes
