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Found 6278 publications

Strategic Innovation for Sustainability: A Conceptual Model Linking Digitalization, Social Dynamics, and Climate Change Mitigation

Gagan Deep Sharma Alberto Ferraris Sascha Kraus Ritika Chopra Dhairya Dev

Publication Name: Business Strategy and the Environment

Publication Date: 2025-01-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

This study addresses a significant research gap in the literature by systematically reviewing and synthesizing the interplay between social dynamics, environmental changes, and organizational innovation. Although prior research has explored these dimensions in isolation, the integrative framework remains lacking. To address this, we conducted an integrative review that combined bibliometric and content analyses of 845 peer-reviewed articles, following the PRISMA guidelines for methodological rigor. Our study reveals that digitalization, social innovation, and technological advancement collectively empower firms to navigate complex social and environmental challenges, fostering sustainable innovation and resilience. Theoretical contributions are grounded in the Triple Bottom Line, Innovation Diffusion Theory, and Resource-Based View theory, offering a robust framework for understanding how organizations balance their economic, social, and environmental performance. Key findings highlight the pivotal role of communication, collaboration, and knowledge sharing in driving innovation, as well as the importance of integrating social and environmental responsiveness into strategic resource management. This study advances the literature by presenting a comprehensive framework that incorporates organizational innovation with broader sustainability outcomes, thereby informing both academic research and practical strategies for sustainable business transformation.

Open Access: Yes

DOI: 10.1002/bse.70471

Mediumship and its Cognitive 'Survival' in Identification of Collective Individuation the Hungarian Painter-Genius Csontváry's Mediumship and 'Survival' Part V. The Picture Representation as Merkabah (Throne Chariot) System

Peter Varlaki Judit Ida Steiner-Varlaki Péter Baranyi

Publication Name: 10th IEEE International Conference on Cognitive Infocommunications Coginfocom 2019 Proceedings

Publication Date: 2019-10-01

Volume: Unknown

Issue: Unknown

Page Range: 579-586

Description:

The paper deals with the mediumship and the retro-cognitive and precognitive patterns in identification of collective individuation. We attend to show the relationships between the artistic visions (pictures) of Csontváry the Hungarian genius. Finally the paper deals with the analysis of the picture representation as Merkabah system11This paper is dedicated to the blessed memory of Dr. Rezsö Pertorini and Dr. Anthony Storr. Thanks for the inspiration to Dr. Katalin Gellér.

Open Access: Yes

DOI: 10.1109/CogInfoCom47531.2019.9090006

New Ways of Career Orientation for the Automotive Scope: Future Engineer Program of University of Győr Zalaegerszeg Innovation Park

Daniel Robert Szabo Renáta Tóth-Pákozdi

Publication Name: International Journal of Automotive Science and Technology

Publication Date: 2025-12-17

Volume: 9

Issue: 1st Future of Vehicles Conf.

Page Range: 82-89

Description:

Today’s rapid developments have resulted in a change in students’ attitudes and their attitude to learning. In order to provide effective education, it is necessary for educational institutions to understand these changes in attitudes and to adapt the organisation and methodology of education accordingly. In addition, institutions need to take on new roles in an era of globalisation and rapid technological change in order to contribute to social and economic development. In this respect, teaching methods based on practicality may come to the fore; the use of inductive approaches may be an excellent response to this new challenge. The university preparatory course of the University of Győr - Zalaegerszeg Innovation Park builds on the above. The Future Engineer - ZalaZONE is a 6-week series of special, unique elements; a set of methods aimed at introducing and familiarising secondary school students with research and project-based education and practical skills, while at the same time supporting the university’s engineer career orientation. Since 2023, the course has been organised on six occasions, engaging 100 participants. A further unique and special feature of the programme is the creation of a course covering automotive topics, targeting secondary school students in the Zalaegerszeg Innovation Park environment, especially in a strong connection of R&D activities, industrial services and academic partnership. Briefly, this article brings a new look to the existing literature in the following areas: (I) alig ning inductive, practice-centred approaches (IBL/PBL) with the evolving learning attitudes of Generation Z and Alpha; (II) documenting the design of a university preparatory course embe dded in a science-park ecosystem that integrates R&D infrastructure and academic partnership; and (III) demonstrating a transition from subject-based instruction toward integrated automotive themes that stimulate complex, experience-based learning.

Open Access: Yes

DOI: 10.30939/IJASTECH..1757986

Data-Driven Identification of Gearbox Housing Structures Using Acoustic Radiation Spectra

Krisztian Horvath Krisztián Horváth Krisztián Horváth

Publication Name: International Journal of Basic and Applied Sciences

Publication Date: 2025-08-01

Volume: 14

Issue: 4

Page Range: 619-623

Description:

The structural design of gearbox housing, such as ribbing and wall thickness, has a significant impact on its noise radiation characteristics, especially in electric vehicle applications where tonal noise is more perceptible. This study presents a novel methodology that uses machine learning and spectral analysis to distinguish between gearbox housing types based solely on their acoustic radiation data. Frequency-domain sound pressure spectra, simulated for multiple design variants, were interpolated and analyzed using Principal Component Analysis (PCA) and K-means clustering. The results reveal that construction types (e.g., fully ribbed, partially ribbed, or without ribs) exhibit distinct acoustic profiles. Furthermore, a Random Forest classifier achieved 88.9% accuracy in predicting structural configuration from the spectra alone. These findings demonstrate that structural design features can be inferred directly from acoustic data, offering a lightweight and geometry-free alternative to traditional NVH simulation workflows. The approach can be integrated as a lightweight plug-in in existing NVH workflows. It ingests acoustic spectra and returns a structural-stiffness label with uncertainty, supporting early-stage screening and late-phase regression checks.

Open Access: Yes

DOI: 10.14419/mnbhp030

Comparison of monocultures and a mixed culture of three Chlorellaceae strains to optimize biomass production and biochemical content in microalgae grown in a greenhouse

Zsuzsanna Lantos Péter Bálint Zoltán Varga Gergely Maróti Vince Ördög Wendy A. Stirk Johannes van Staden

Publication Name: Journal of Applied Phycology

Publication Date: 2021-10-01

Volume: 33

Issue: 5

Page Range: 2755-2766

Description:

Light and temperature are important environmental conditions affecting microalgal growth in outdoor culture. It is essential to evaluate microalgae strains growing under outdoor conditions where they are subjected to variable environmental parameters. The present study investigated three Chlorellaceae strains (Micractinium sp. MACC-728, Chlorella sorokiniana MACC-438, and C. sorokiniana MACC-452) and a mixed culture combining these three strains. Cultures were grown in 2-L bioreactors in a greenhouse over 3 months to assess the effects of high temperature and light on their growth, macromolecule content, and antioxidant and plant-stimulating bioactivities. The most influential environmental parameters on growth were average air temperature and the sum of photosynthetically active radiation, followed by maximum air temperature. The most affected growth parameter was daily change in cell number. Chlorella sorokiniana MACC-438 produced the lowest biomass and was most affected by the high temperature and light conditions. Micractinium sp. produced the highest biomass and was least affected, suggesting it was the most suitable strain for outdoor cultivation. The mixed Chlorellaceae culture performed well in biomass production, exceeding C. sorokiniana monocultures but significantly underyielding in lipid content. Antioxidant activity and the root-stimulating activity varied with strain and culture age. Micractinium sp. had the highest but most variable antioxidant and plant-stimulating activity. Bioactivity in the mixed culture was more consistent, remaining high regardless of culture age and environmental conditions. Thus, mixed cultures of productive strains could be a useful strategy to ensure stable and high-quality biomass production in outdoor cultivation with fluctuating environmental conditions.

Open Access: Yes

DOI: 10.1007/s10811-021-02515-y

First report of Veltheimia mosaic virus in Veltheimia bracteata ‘Lemon Flame’ in Hungary

László Palkovics János Ágoston Asztéria Almási Katalin Salánki

Publication Name: Plant Disease

Publication Date: 2025-01-01

Volume: Unknown

Issue: Unknown

Page Range: 1-6

Description:

No description provided

Open Access: Yes

DOI: 10.1094/PDIS-09-25-1972-PDN

Technical upgrade and first tests of the experimental device for quasi-2D turbulent electrolyte flow experiment

M. Berta L. Bardóczi E. Walcz L. Poszovecz A. Biricz A. Bencze

Publication Name: Fusion Engineering and Design

Publication Date: 2019-09-01

Volume: 146

Issue: Unknown

Page Range: 1899-1902

Description:

A major upgrade of the experimental device for quasi-2 dimensional turbulence studies in magnetized electrolyte system is presented. The development has been motivated by the preparation of envisaged new experiments to investigate the effect of boundary walls on 2D turbulence cascades and the study of small vortex interactions with large scale sheared flows. The latter problem is relevant in different basic scientific as well as applied areas such as the reduction of anomalous transport via shear flows in magnetically confined fusion plasmas. The hardware upgrade consists of: (a) significantly larger electrolyte tank able to accommodate up to 2500 permanent magnets and adjustable walls, (b) ensemble of an electronically driven solenoid and a configurable permanent magnet array, (c) highly automatic acquisition and control of the experimental data and parameters. A first experimental test of the upgraded device is also presented.

Open Access: Yes

DOI: 10.1016/j.fusengdes.2019.03.060

Linking financial technology, innovation, and green finance to drive sustainable performance of SMEs of Pakistan

Anil Kumar Md Billal Hossain Faisal Ejaz Sarmad Ejaz Belal Mahmoud AlWadi Sana Rashid

Publication Name: International Journal of Business Innovation and Research

Publication Date: 2025-01-01

Volume: 38

Issue: 6

Page Range: 30-54

Description:

Sustainability has become a strategic imperative for manufacturing SMEs amid increasing environmental regulations and stakeholder expectations. However, existing research offers limited insights into how digital financial innovations, particularly FinTech, contribute to sustainability performance in resource-constrained SMEs contexts. Addressing this gap, the present study investigates the impact of FinTech adoption (FA) on the sustainability performance (SP) of manufacturing SMEs, while exploring the mediating roles of organisational innovation (OI) and green finance (GF). Grounded in the resource-based view (RBV), the study develops a conceptual framework linking digital capabilities with sustainable outcomes. A quantitative research design was employed, and survey data were collected from 340 manufacturing SMEs in Pakistan. Structural equation modelling (SEM) was used to test hypothesised relationships. The results demonstrate that FA significantly improves sustainable performance both directly and indirectly through OI and GF. Furthermore, FA also mediates the relationship between GF and SP, emphasising its role in operationalising sustainable financial flows. This study provides empirical evidence that FA, when strategically integrated with innovation and financial mechanisms, acts as a transformative enabler of sustainability in SMEs. It contributes to theory by extending the RBV to include digital and green financial resources as dynamic capabilities for achieving environmental goals.

Open Access: Yes

DOI: 10.1504/IJBIR.2025.149938

Advancing decision-making frameworks: Generalized distance measures in complex fuzzy set environments for enhanced precision and robustness

Madad Khan Dragan Pamucar Zeeshan Ali Muhammad Zeeshan Tahir Iqbal Zakori

Publication Name: Systems and Soft Computing

Publication Date: 2025-12-01

Volume: 7

Issue: Unknown

Page Range: Unknown

Description:

A complex fuzzy distance measure (CFDM) is a way to quantify the dissimilarity or similarity between two complex fuzzy sets (CFSs). This measure often considers both the membership values and the degree of overlap between sets to compute the distance. However, CFDMs are not capable of capturing the hesitancy or uncertainty inherent in real-life problems. To overcome this difficulty, we present generalized notions of some existing distance measures (DMs), such as Zhang DM and Zeeshan DM within the framework of CFSs. The newly defined DMs are said to be complex fuzzy generalized Zhang Hesitance DM (CFGZHDM), complex fuzzy generalized weighted Zhang Hesitance DM (CFGWZHDM), complex fuzzy generalized Zeeshan Hesitance DM (CFGZHDM), and complex fuzzy generalized weighted Zeeshan Hesitance DM (CFGWZHDM). Several new set-theoretic operations and fundamental mathematical results are formally defined and developed. These are built upon the framework of the proposed decision-making models to strengthen their applicability and theoretical foundation. We utilized the proposed generalized CFDMs in applications to decision-making problems. We proposed a new decision-making algorithm that offers a flexible and nuanced approach to selecting exemplary students by considering the fuzzy and overlapping nature of attributes and allowing for uncertainty in the selection process. Furthermore, a comparative analysis is conducted between the proposed models, evaluating their performance and effectiveness about several existing fuzzy models. This comparison aims to highlight the strengths, differences, and potential advantages of the newly proposed models over conventional methods. Moreover, the newly defined decision-making approaches illustrate clear improvements over existing techniques. While traditional techniques fail to provide meaningful ranking values, our proposed approaches produce non-zero scores such as 0.13, 0.30, and 0.10, leading to a valid ordering of alternatives. When weighted information is considered, the effectiveness is further enhanced, yielding higher score values (0.80, 0.85, and 0.81) and more stable rankings.

Open Access: Yes

DOI: 10.1016/j.sasc.2025.200416