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Found 6289 publications

How Innovation Capability Drives Sustainable Operational Performance in Practices Within Alternative Food Networks: The Mediating Roles of Business Platforms and Community Building

Suhaiza Zailani Abderahman Rejeb Xia Yang Xi Wang

Publication Name: Sustainability Switzerland

Publication Date: 2026-01-01

Volume: 18

Issue: 1

Page Range: Unknown

Description:

While previous research suggests that innovation capability can enhance sustainable operational performance in sustainable supply chain management practices, empirical insights into the mechanisms underlying this relationship remain limited. Drawing on dynamic capability theory, this study investigates how innovation capability influences sustainable operational performance within the context of Alternative Food Networks (AFNs). Utilizing matched survey data and objective performance metrics from 276 fruit and vegetable preserving and specialty food manufacturing firms in China, the study employed Partial Least Squares Structural Equation Modeling (PLS-SEM) with bootstrapping techniques to test the mediating roles of business platforms and community building. The findings reveal that novelty-centered innovation capability has a significant positive effect on sustainable operational performance, with business platforms serving as a partial mediator in this relationship. In contrast, value-centered community building neither directly influences sustainable operational performance nor mediates the effect of innovation capability. Furthermore, the mediating effect of business platforms is found to be stronger than that of community building. This research presents a novel empirical framework that distinguishes the operational effectiveness of digital platforms in social community building within AFNs, providing managers with a strategic roadmap for prioritizing innovation investments to achieve sustainability.

Open Access: Yes

DOI: 10.3390/su18010305

Three new Hutufeideria Hirschmann & Hiramatsu, 1977 from Southeast Asia, with the description of Hutufeideriidae fam. nov. (Acari, Mesostigmata)

Jenő Kontschán Rita Ábrahám Sergey G. Ermilov

Publication Name: Zookeys

Publication Date: 2026-01-01

Volume: Unknown

Issue: 1280

Page Range: 63-81

Description:

Three new species of the genus Hutufeideria are described from the Oriental region. The first species, H. perakensis sp. nov., was collected in Malaysia and differs from its congeners in the presence of a strongly sclerotized furrow on the dorsal shield and very long setae on the central area of the dorsal shield. The second species, H. sarawakensis sp. nov., was found in Sarawak (Malaysia) and differs from other species of the genus in the shape of the setae on the caudal part of the dorsal shield and the shape of the female genital shield. The third species, H. sumatraensis sp. nov., was collected from Sumatra (Indonesia) and has a tile-like sculptural pattern on the ventral shield; the dorsal shield is covered with large and irregular pits, and bears serrate setae on the caudal margins of the dorsal shield; these represent a unique character combination within the genus. Hutufeideriidae fam. nov. is diagnosed, with Hutufeideria as the type genus. A list of known species is provided.

Open Access: Yes

DOI: 10.3897/zookeys.1280.188887

Parametric Analysis of Metal Matrix Syntactic Foams

Imre Fekete Imre Czinege

Publication Name: Lecture Notes in Mechanical Engineering

Publication Date: 2026-01-01

Volume: Unknown

Issue: Unknown

Page Range: 15-33

Description:

Metal matrix syntactic foams are playing an increasingly important role in different structures. Their application is primarily aimed at weight reduction and energy absorption. The present research uses sensitivity analysis, response surface methodology, and principal component analysis to quantify the effect of matrix yield strength, matrix-to-filler ratio, ceramic sphere wall strength, and wall thickness-to-diameter ratio on the critical compressive strength of metal matrix syntactic foam. It was found that the thickness-to-diameter ratio and strength of the sphere wall are the determining factors in the evolution of the compressive strength, but the matrix strength has less effect on the output.

Open Access: Yes

DOI: 10.1007/978-981-96-6452-8_2

Collaborative Reflexivity and Circular Literacy in Platform-Driven Innovation Ecosystems: Implications for Business Strategies

Divesh Ojha Varun Chotia Gabriella Imre Salwa Saleh Almasabi Yuxin Meng

Publication Name: Business Strategy and the Environment

Publication Date: 2026-01-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

This research develops and assesses a model based on capabilities that explains how platform-based open innovation networks enhance sustainability through sequential mediation processes. By relying on concepts of reflexive innovation, ecosystem learning, and knowledge co-creation, the research shows that participation in platforms enhances the maturity of the circular learning ecosystems; therefore, promoting collaborative reflexive practice. Reflexivity leads to two outcomes: (a) an individual-level increase in circular literacy, which implies an increase in knowledge, skills, and behavioral orientation to circularity, and (b) system-level sustainable platform-based innovation outcomes, comprising the social and environmental impacts of the innovational processes. The outcomes endorse the proposed mediation directions. Interestingly, the digital inclusivity orientation was not associated with the reflexivity-literacy relationship, signifying that inclusion requires a deeper organizational integration in order to generate high capability impacts. The study enhances the literature on circular economy and innovation by introducing the concepts of reflexivity and circular literacy as the strategic abilities of a company and providing managers and policymakers with insights on how to build inclusive and sustainability-oriented platform ecosystems.

Open Access: Yes

DOI: 10.1002/bse.70583

Machine Learning Prediction of Pavement Macrotexture from 3D Laser-Scanning Data

Mohammad Fahad Nagy Richard Kristof Gyorgy Nagy

Publication Name: Applied Sciences Switzerland

Publication Date: 2026-01-01

Volume: 16

Issue: 1

Page Range: Unknown

Description:

Featured Applications: Pavement texture evaluation using a traditional sand patch method, 3D laser scanning, and machine learning algorithms. Pavement macrotexture, quantified by mean texture depth (MTD) and mean profile depth (MPD), is a critical parameter for road safety and performance. The traditional sand patch test is labor-intensive and slow, creating a bottleneck for modern pavement management systems. Accurately translating the rich point cloud data into reliable MTD values using the 3D scanning method remains a challenge, with current methods often relying on oversimplified correlations. This research addresses this gap by developing and validating a novel machine learning framework to predict MTD and MPD directly from high-resolution 3D laser scans. A comprehensive dataset of 127 pavement samples was created, combining traditional sand patch measurements with detailed 3D point clouds. From these point clouds, 27 distinct surface features spanning statistical, spatial, spectral, and geometric domains were developed. Six machine learning algorithms, consisting of Random Forest, Gradient Boosting, Support Vector Regression, k-Nearest Neighbor, Artificial Neural Networks, and Linear Regression, were implemented. The results demonstrate that the ensemble-based Random Forest model achieved superior performance, predicting MTD with an R2 of 0.941 and a mean absolute error (MAE) of 0.067 mm, representing a 56% improvement in accuracy over traditional digital correlation methods. Model interpretation via SHAP analysis identified root mean square height (Sq) and surface skewness (Ssk) as the most influential features.

Open Access: Yes

DOI: 10.3390/app16010500

Can Digital Technology Adoption Drive a “Win–Win” in Corporate Financial Sustainability and Energy Performance? The Role of Chief Digital Officers

Tomas Baležentis Fawaz Baddar ALHussan Zhiyang Shen Lingli Qing Pin Shen

Publication Name: Business Strategy and the Environment

Publication Date: 2026-01-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

This study investigates whether digital technology adoption can drive both sustainable financial performance and enhanced corporate energy efficiency, which has received limited attention in previous research. Grounded in dynamic capability theory and upper echelons theory, and utilizing a two-way fixed-effects regression model, this study analyzes panel data from publicly listed Chinese firms from 2010 to 2022. We assess the “win–win” potential of digital technology adoption on financial and energy outcomes, with a focus on the moderating role of chief digital officers. The results demonstrate that digital technology adoption generates concurrent gains in financial sustainability and energy efficiency, and that the presence of a chief digital officer substantially strengthens these effects. Robustness and endogeneity assessments support these findings. We further identify financing constraints and green technological innovation as mediating channels through which digital technology adoption promotes dual improvements in financial and energy outcomes. Heterogeneity tests indicate stronger effects among larger firms, non-heavy polluting enterprises, and firms located in central regions of China. These findings highlight the strategic value of digital technology in advancing financial sustainability and corporate energy efficiency, promoting broader corporate commitment to digital transformation.

Open Access: Yes

DOI: 10.1002/bse.70671

Safety to Sustainability: The Role of Household Financial Literacy in the Green Transition

Vikas Sharma András Szeberényi

Publication Name: World Sustainability Series

Publication Date: 2026-01-01

Volume: Part F1959

Issue: Unknown

Page Range: 55-73

Description:

Financial literacy is increasingly valued not simply as an individual good but as a public good necessary for the low-carbon transition. This chapter explores the relation between financial literacy, resilience, and the goals of sustainable finance in the case of Hungary. Integrating the literature from other countries with survey data from 361 respondents, the study finds a critical “intention-behavior gap”: respondents report high subjective financial literacy, but household behaviour is still defensive, where precautionary savings are preferred before long-term green investing. It is arguable that this “safety-first” mentality is a rational response to historical economic instability, and poses a structural barrier to the uptake of sustainable finance topics. The research implies a relationship where financial resilience is not a competitor to sustainability, but rather a necessary prerequisite for sustainable investing. Therefore, to release household capital into the green transition, policymakers need to reorganise financial education as a pathway for resilience as a baseline for climate-aligned financial engagement.

Open Access: Yes

DOI: 10.1007/978-3-032-19076-5_4

Invisible burdens of platform work: a qualitative study of food-delivery riders’ lived experiences in urban India

Muhammad Shakil Ahmad Ashifa Kariveliparambil Alen Kuriakose Rasi R A Snega Ramesh Ashifa Kariveliparambil

Publication Name: International Journal of Qualitative Studies on Health and Well Being

Publication Date: 2026-01-01

Volume: 21

Issue: 1

Page Range: Unknown

Description:

Purpose: This study explored the lived experiences of food delivery riders in India’s platform economy, focusing on psychosocial, physical, and emotional challenges embedded in their daily work. It critically examines how precarity, emotional labor, and symbolic violence shape riders’ well-being. Methods: This study employed a qualitative phenomenological design. In-depth interviews were conducted with 10 food delivery riders from an urban district in South India, who participated anonymously. The data were analyzed using reflexive thematic analysis. Results: Surviving precision, embodied exhaustion, emotional discipline under surveillance, internalized struggles, and fragmented routines emerged as key themes. Participants described working under difficult climatic conditions and persistent physical pain, reflecting the precarious nature of platform-based delivery work. They also struggled to maintain constant politeness with customers while being monitored through algorithmic surveillance. This findings reveal significant psychosocial burdens, including physical strain, emotional fatigue, social withdrawal, experience of disrespect, internalization of blame, and economic insecurity. Conclusions: Platform work reinforces structural precarity, emotional suppression, and symbolic exclusion, profoundly shaping the health and well-being of food delivery workers. These findings highlight the need for policy reforms to protect gig workers’ mental health, dignity, and social inclusion, and advocating for the psychosocially sensitive governance of digital labor platforms.

Open Access: Yes

DOI: 10.1080/17482631.2026.2644577

Preface

Piotr A. Kowalski Eloísa Ramírez-Poussa László T. Kóczy Jesús Medina-Moreno

Publication Name: Studies in Computational Intelligence

Publication Date: 2026-01-01

Volume: 1222

Issue: Unknown

Page Range: v-viii

Description:

No description provided

Open Access: Yes

DOI: DOI not available