Sustainability

22 pages, 1422 KB

Open AccessArticle

The Role of Environmental Disclosure and Green Accounting in Achieving a Sustainable and Investment-Attractive Economy According to Saudi Vision 2030

by Hakim Mohamed Berradia

Sustainability 2026, 18(2), 987; https://doi.org/10.3390/su18020987 (registering DOI) - 18 Jan 2026

Abstract

This study investigates the different mechanisms through which environmental disclosure and green accounting practices influence investment attractiveness in an emerging market context. Drawing on legitimacy theory and the resource-based view, we examine whether these environmental accountability mechanisms create value directly or through enhanced [...] Read more.

This study investigates the different mechanisms through which environmental disclosure and green accounting practices influence investment attractiveness in an emerging market context. Drawing on legitimacy theory and the resource-based view, we examine whether these environmental accountability mechanisms create value directly or through enhanced sustainability performance. Using survey data from 290 non-financial firms listed on the Saudi Stock Exchange, we employ partial least squares structural equation modeling to test a mediated-moderation model within the Saudi Vision 2030 framework. The results reveal differentiated value-creation pathways: environmental disclosure affects investment attractiveness indirectly through sustainable economic outcomes (full mediation; indirect effect β = 0.121, p < 0.001), while green accounting demonstrates both direct (β = 0.237, p < 0.001) and indirect effects (β = 0.091, p < 0.01), indicating partial mediation. Both practices are positively associated with sustainable economic outcomes (β_ED = 0.290, β_GA = 0.219, p < 0.001), which in turn are positively related to investment attractiveness (β = 0.416, p < 0.001). Unexpectedly, Vision 2030 alignment shows no significant moderating effect (β = 0.042, p = 0.498), suggesting that the sustainability–investment relationship is not significantly conditioned by perceived alignment with the national strategic framework in this sample. The model explains 25.7% of the variance in investment attractiveness and 20.0% of that in sustainable economic outcomes, indicating moderate explanatory power. These findings contribute to the environmental accounting literature by suggesting that internal management-oriented practices may be more closely associated with investment attractiveness than disclosure transparency alone. Overall, the results indicate that green accounting systems are associated with investment attractiveness, while environmental disclosure appears to require observable sustainability performance to be reflected in investment perceptions, offering measured implications for corporate strategy and regulatory policy in sustainability transitions. Full article

(This article belongs to the Section Sustainable Management)

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15 pages, 1101 KB

Open AccessArticle

Dynamic Impacts of Rail Transit Investment on Regional Economic Development: A Spatial-System Dynamics Analysis of the Jiangsu Yangtze River City Cluster

by Minlei Qian and Lin Cheng

Sustainability 2026, 18(2), 986; https://doi.org/10.3390/su18020986 (registering DOI) - 18 Jan 2026

Abstract

The Jiangsu Yangtze River city cluster is a key growth pole of the Yangtze River Economic Belt, yet substantial disparities in development levels persist across cities, and the role of rail transit investment in fostering regional economic coordination remains insufficiently understood. This study [...] Read more.

The Jiangsu Yangtze River city cluster is a key growth pole of the Yangtze River Economic Belt, yet substantial disparities in development levels persist across cities, and the role of rail transit investment in fostering regional economic coordination remains insufficiently understood. This study aims to reveal the dynamic mechanisms through which railway transportation investment influences regional economic growth via population migration and service industry agglomeration, and to quantify the economic multiplier effects under different investment scenarios. Considering the close economic linkages among cities, spatial autocorrelation analysis is applied to assess intercity economic dependence, which provides the basis for developing a system dynamics model that links the rail transit system with the regional economy. Using data from eight core cities over the period 2014–2023, the model is employed to simulate long-term economic responses under different investment scenarios. The results indicate that increasing the rail transit investment ratio from 0.0077 to 0.02 is associated with an estimated 13.2% increase in regional GDP by 2030, with a corresponding economic multiplier of approximately 1.8, while simulation errors remain within 4.1–16.2% compared with historical data. The findings suggest that rail transit investment promotes regional growth through improved accessibility, factor agglomeration, and industrial upgrading, and that coordinated planning at the urban agglomeration scale is more effective than isolated city-level strategies. By integrating spatial dependence analysis with system dynamics modeling, this study offers a dynamic perspective on the regional economic impacts of rail transit investment. Full article

(This article belongs to the Special Issue Sustainable Transport Research and Railway Network Performance)

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27 pages, 6130 KB

Open AccessArticle

Poisson’s Ratio as the Master Variable: A Single-Parameter Energy-Conscious Model (PNE-BI) for Diagnosing Brittle–Ductile Transition in Deep Shales

by Bo Gao, Jiping Wang, Binhui Li, Junhui Li, Jun Feng, Hongmei Shao, Lu Liu, Xi Cao, Tangyu Wang and Junli Zhao

Sustainability 2026, 18(2), 985; https://doi.org/10.3390/su18020985 (registering DOI) - 18 Jan 2026

Abstract

As shale gas development extends into deeper formations, the unclear brittle-ductile transition (BDT) mechanism and low fracturing efficiency have emerged as critical bottlenecks, posing challenges to the sustainable and economical utilization of this clean energy resource. This study, focusing on the Liangshang Formation [...] Read more.

As shale gas development extends into deeper formations, the unclear brittle-ductile transition (BDT) mechanism and low fracturing efficiency have emerged as critical bottlenecks, posing challenges to the sustainable and economical utilization of this clean energy resource. This study, focusing on the Liangshang Formation shale of Sichuan Basin’s Pingye-1 Well, pioneers a paradigm shift by identifying Poisson’s ratio (

ν

) as the master variable governing this transition. Triaxial tests reveal that

ν

systematically increases with depth, directly regulating the failure mode shift from brittle fracture to ductile flow. Building on this, we innovatively propose the Poisson’s Ratio-regulated Energy-based Brittleness Index (PNE-BI) model. This model achieves a decoupled diagnosis of BDT by quantifying how ν intrinsically orchestrates the energy redistribution between elastic storage and plastic dissipation, utilizing ν as the sole governing variable to regulate energy weighting for rapid and accurate distinction between brittle, transitional, and ductile states. Experiments confirm the

ν

-dominated energy evolution: Low

ν

rocks favor elastic energy accumulation, while high

ν

rocks (>0.22) exhibit a dramatic 1520% surge in plastic dissipation, dominating energy consumption (35.9%) and confirming that

ν

enhances ductility by reducing intergranular sliding barriers. Compared to traditional multi-variable models, the PNE-BI model utilizes

ν

values readily obtained from conventional well logs, providing a transformative field-ready tool that significantly reduces the experimental footprint and promotes resource efficiency. It guides toughened fracturing fluid design in ductile zones to suppress premature closure and optimizes injection rates in brittle zones to prevent fracture runaway, thereby enhancing operational longevity and minimizing environmental impact. This work offers a groundbreaking and sustainable solution for boosting the efficiency of mid-deep shale gas development, contributing directly to more responsible and cleaner energy extraction. Full article

(This article belongs to the Section Energy Sustainability)

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23 pages, 4786 KB

Open AccessArticle

Potassium Fertilization as a Steering Tool for Sustainable Valorization of Cereal Straw in Circular Bioeconomy Value Chains

by Dario Iljkić, Ivana Varga, Paulina Krolo and Ivan Kraus

Sustainability 2026, 18(2), 984; https://doi.org/10.3390/su18020984 (registering DOI) - 18 Jan 2026

Abstract

Potassium (K) fertilization plays a key role in regulating stem morphology, particularly stem diameter, yet the influence of different K fertilizer formulations on stem structure and tensile strength remains insufficiently understood. Cereal straw is a key lignocellulosic by-product with growing importance in the [...] Read more.

Potassium (K) fertilization plays a key role in regulating stem morphology, particularly stem diameter, yet the influence of different K fertilizer formulations on stem structure and tensile strength remains insufficiently understood. Cereal straw is a key lignocellulosic by-product with growing importance in the circular bioeconomy. Thus, the aim of this study was to determine the links between potassium nutrition, stem structure, and mechanical behavior for four cereal species: wheat, barley, rye, and oats. There were three potassium fertilization levels (0, 60, and 120 kg K ha⁻¹) conducted in a field experiment in eastern Croatia (2021/2022). At maturity, stem morphology, macroelements (Ca, K, P, C, N), acid detergent fiber (ADF), neutral detergent fiber (NDF), and uniaxial tensile properties (maximum force, tensile strength, Young’s modulus) were determined. Cereal species was the dominant source of variation (p < 0.0001) for all traits, whereas the main effect of K was generally weak and significant only for stem diameter at the midpoint and N concentration, although K × species interactions were frequent. Oats and rye showed the most vigorous biomass production, whereas wheat exhibited by far the highest tensile strength (about 120 MPa) and stiffness (6.23 GPa), together with the highest ADF, while barley had the greatest NDF. Oat stems had the lowest ADF and NDF, indicating less lignified, more digestible tissues but mechanically weaker straw. Mechanical traits were tightly and positively correlated with ADF, NDF, and CN ratio, whereas P showed weak or negative associations with plant size and strength. Therefore, for targeted straw valorization, cereal species selection is paramount, with potassium fertilization playing a secondary, species-dependent role. Full article

(This article belongs to the Special Issue Valorization of Renewable Resources for the Production of Biobased Products Through the Implementation of Circular Bioeconomy Principles: Second Edition)

17 pages, 3284 KB

Open AccessArticle

Performance of CuTiO₃ Photocatalytic Oxidation for Treating Organic Peroxide Production Wastewater Under Visible Light

by Zichun Yan, Hongfu Li, Hao Yang and Shuo Li

Sustainability 2026, 18(2), 983; https://doi.org/10.3390/su18020983 (registering DOI) - 18 Jan 2026

Abstract

To investigate the treatment performance of a CuTiO₃ photocatalytic system for organic peroxide production wastewater under visible light, CuTiO₃ powder prepared through the hydrothermal method was used for this experiment. The light absorption properties of the CuTiO₃ catalyst were analyzed [...] Read more.

To investigate the treatment performance of a CuTiO₃ photocatalytic system for organic peroxide production wastewater under visible light, CuTiO₃ powder prepared through the hydrothermal method was used for this experiment. The light absorption properties of the CuTiO₃ catalyst were analyzed using UV-Vis diffuse reflectance spectroscopy (UV-Vis DRS). The effects of the initial pH, photocatalyst dosage, light intensity, and reaction duration on the photocatalytic reaction were examined. Before and after the reaction, the changes in pollutant components in water were characterized via three-dimensional excitation–emission matrix fluorescence spectrometry (3D-EEM) and gas chromatography–mass spectrometry (GC-MS); the changes in the concentrations of some pollutants were analyzed via wavelength scanning. The results indicated that CuTiO₃ has a good response to visible light. Under the optimized conditions (initial pH = 5, CuTiO₃ dosage = 1.2 g/L, light intensity = 1300 W/m², duration = 4 h), the COD removal rate reached 58%, and the B/C (BOD₅/COD) ratio of wastewater increased from 0.112 to 0.221, demonstrating a good pretreatment effect. GC-MS analysis demonstrated significant degradation effects on amide and hydride substances. Radical capture experiments verified hydroxyl radicals as the dominant species in CuTiO₃ photocatalysis. Visible-light photocatalysis using CuTiO₃ provides an efficient pretreatment pathway for organic peroxide production wastewater. Full article

21 pages, 1794 KB

Open AccessArticle

Assessing the Early Impact of InvestEU on Romanian SME Financial Performance

by Emanuel Ciobanu, Ana-Maria Torjescu, Ioana Polec and Carmen Păunescu

Sustainability 2026, 18(2), 982; https://doi.org/10.3390/su18020982 (registering DOI) - 18 Jan 2026

Abstract

This article examines how European funding enhances the financial performance of Romanian SMEs, a sector facing growing regulatory pressure, market volatility, and resource constraints. The study combines a thematic analysis of InvestEU indicators and national SME financing data (2021–2023) with a firm-level difference-in-differences [...] Read more.

This article examines how European funding enhances the financial performance of Romanian SMEs, a sector facing growing regulatory pressure, market volatility, and resource constraints. The study combines a thematic analysis of InvestEU indicators and national SME financing data (2021–2023) with a firm-level difference-in-differences model comparing InvestEU-funded SMEs to a matched control group over 2023–2024. The qualitative evidence shows that InvestEU operates at the EU level as a multidimensional policy instrument fostering competitiveness, social inclusion, and long-term economic and environmental development, while Romanian SMEs continue to rely predominantly on their own funds and national co-financing, a conservative pattern that ensures stability but limits access to external capital and transformative investments. Econometric results indicate that funded SMEs record, on average, higher turnover and net profit growth than comparable non-funded firms and confirm a strong positive association between firm size and financial performance; however, the interaction term capturing the specific InvestEU effect is positive but not statistically significant at the 95% confidence level. The findings suggest that InvestEU has the potential to act as a catalyst for structural change but also highlight the need for longer observation periods, larger samples, and more comprehensive development indicators to assess its medium-and long-term impact on SME competitiveness. Full article

(This article belongs to the Section Economic and Business Aspects of Sustainability)

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20 pages, 2113 KB

Open AccessArticle

Energy Transitions in the Digital Economy: Interlinking Supply Chain Innovation, Growth, and Policy Stringency in OECD Countries

by Majdi Hashim and Opeoluwa Seun Ojekemi

Sustainability 2026, 18(2), 981; https://doi.org/10.3390/su18020981 (registering DOI) - 18 Jan 2026

Abstract

The development of renewable energy has emerged as a cornerstone of sustainable economic transformation, offering a pathway to reduce carbon dependence and enhance long-term energy security. As a result, this study examines the influence of supply chain digitalization, economic growth, and environmental stringency [...] Read more.

The development of renewable energy has emerged as a cornerstone of sustainable economic transformation, offering a pathway to reduce carbon dependence and enhance long-term energy security. As a result, this study examines the influence of supply chain digitalization, economic growth, and environmental stringency policies on renewable energy consumption (REC) across 33 OECD countries from 2000 to 2021. Using the Method of Moments Quantile Regression (MMQR) approach, the research provides robust, distribution-sensitive insights into how these factors shape renewable energy dynamics. In addition to the main variables, financial development and economic globalization were included as control variables to capture broader macroeconomic effects. The empirical results reveal that supply chain digitalization exerts a negative and consistent influence on REC across all quantiles, suggesting that technological advancement within supply chains may still be heavily dependent on non-renewable energy inputs. Conversely, environmental stringency policies demonstrate a positive and significant impact on REC at all quantiles, indicating that stricter environmental regulations effectively drive the transition toward cleaner energy sources. However, the effect of economic growth varies across quantiles, reflecting a nonlinear relationship—fostering renewable energy use in some instances while increasing conventional energy demand in others. Among the control variables, economic globalization enhances REC, implying that greater international integration facilitates technology transfer and access to green innovations. In contrast, financial development negatively affects REC, suggesting that current financial systems may still prioritize fossil fuel investments. Overall, the study emphasizes the need to align digital transformation strategies, financial reforms, and policy frameworks to strengthen renewable energy development and ensure a sustainable, low-carbon future across OECD nations. Full article

(This article belongs to the Section Energy Sustainability)

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23 pages, 485 KB

Open AccessArticle

Consumer Attitudes, Buying Behaviour, and Sustainability Concerns Toward Fresh Pork: Insights from the Black Slavonian Pig

by Sanja Jelić Milković, Ružica Lončarić, Jelena Kristić, Ana Crnčan, Igor Kralik, Lucija Pečurlić, David Kranjac and Maurizio Canavari

Sustainability 2026, 18(2), 980; https://doi.org/10.3390/su18020980 (registering DOI) - 18 Jan 2026

Abstract

This study examined Croatian consumer attitudes towards fresh pork from the Black Slavonian pig, focusing on the following sustainability dimensions: environmental, social, economic sustainability, and animal welfare. A survey of 410 consumers was conducted in June 2021, using an online questionnaire assessing consumption [...] Read more.

This study examined Croatian consumer attitudes towards fresh pork from the Black Slavonian pig, focusing on the following sustainability dimensions: environmental, social, economic sustainability, and animal welfare. A survey of 410 consumers was conducted in June 2021, using an online questionnaire assessing consumption habits, breed knowledge, and socio-demographic characteristics. Factor analysis identified four key dimensions: attention to animal welfare, support for local production and biodiversity, origin and information, and price and intrinsic quality. Cluster analysis revealed three distinct consumer segments: conscious consumers (32.4%), value-oriented consumers (37.3%), and uninvolved meat consumers (30.2%). Multinomial logistic regression showed that age, region, family economic status, and place of purchase significantly predicted cluster membership (Nagelkerke R² = 0.251, classification accuracy = 52.9%), while gender, education level, and household composition did not. Conscious consumers were characterised by older age, higher income, and a preference for direct purchasing channels, while value-oriented consumers favoured supermarkets and mid-range pricing. These findings highlight the need for improved consumer education, transparent labelling, targeted marketing strategies, and enhanced policy support to promote sustainable indigenous pig breed production and conservation. Full article

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22 pages, 761 KB

Open AccessArticle

Crafting Your Employability: How Job Crafting Relates to Sustainable Employability Under the Self-Determination Theory and Role Theory

by Ramdan Afnek and Amir Khadem

Sustainability 2026, 18(2), 979; https://doi.org/10.3390/su18020979 (registering DOI) - 18 Jan 2026

Abstract

Amid increasing job complexity and evolving career demands, understanding how employees can proactively sustain their employability has become a critical concern for organizations. Although prior research highlights the importance of job crafting for employability, the motivational mechanisms through which this relationship unfolds—and the [...] Read more.

Amid increasing job complexity and evolving career demands, understanding how employees can proactively sustain their employability has become a critical concern for organizations. Although prior research highlights the importance of job crafting for employability, the motivational mechanisms through which this relationship unfolds—and the contextual conditions under which it is strengthened or weakened—remain insufficiently understood. Drawing on self-determination theory and role theory, this study examines how job crafting influences sustainable employability through the mediating role of self-determination and the moderating role of role ambiguity. Using a two-wave, time-lagged survey design, data were collected from 989 employees across diverse industries in Türkiye. Job crafting and role ambiguity were measured at Time 1, while self-determination and sustainable employability were assessed one month later. The proposed relationships were tested using confirmatory factor analysis and conditional process analysis. The results show that job crafting is positively associated with both self-determination and sustainable employability. Self-determination partially mediates the relationship between job crafting and sustainable employability, indicating that proactive job redesign enhances employability by fostering autonomous motivation. Moreover, role ambiguity weakens the positive effects of job crafting on both self-determination and sustainable employability, highlighting the importance of role clarity as a boundary condition. This study advances the job crafting and sustainable employability literature by identifying self-determination as a key motivational mechanism and by demonstrating how role ambiguity constrains the benefits of proactive work behavior. By integrating self-determination theory with role theory, the findings offer nuanced insights into how employee agency and contextual clarity jointly support sustainable employability in dynamic work environments. Full article

(This article belongs to the Special Issue Green Transition in Workplaces: Assessing the Effects of Sustainable Human Resources Management on Workers’ Behaviors and Attitudes)

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20 pages, 1905 KB

Open AccessArticle

Feasibility Study of School-Centred Peer-to-Peer Energy Trading with Households and Electric Motorbike Loads

by Lerato Paulina Molise, Jason Avron Samuels and Marthinus Johannes Booysen

Sustainability 2026, 18(2), 978; https://doi.org/10.3390/su18020978 (registering DOI) - 18 Jan 2026

Abstract

South Africa faces high energy costs, highlighting the urgent need for sustainable and cost-effective energy solutions. This study investigates the design of a cost-effective photovoltaic energy system that maximises savings and revenue for the school through energy trading. In this study, the school [...] Read more.

South Africa faces high energy costs, highlighting the urgent need for sustainable and cost-effective energy solutions. This study investigates the design of a cost-effective photovoltaic energy system that maximises savings and revenue for the school through energy trading. In this study, the school trades with 14 neighbouring households and 125 electric motorbikes. This research first applies Latin Hypercube Sampling to explore the solution space and determine which system parameters have a significant impact on supply reliability, investment costs, revenue and savings. Optimal solutions are generated using Non-Dominated Sorting Genetic Algorithm II for a range of system scenarios. Following this, the most promising scenario is selected and applied to 53 schools in the Western Cape. The results show that number of panels strongly correlates with both supply reliability and revenue, thus reducing the break-even years, while battery capacity affects investment costs and, to some extent, break-even years. Among the configurations tested, scenarios where schools traded with both households and electric motorbikes, particularly when both included their own battery systems, achieved the most favourable financial performance for the school, with break-even periods of less than five years under sufficient roof area and improved reliability for the external entities, with an average improvement of 60%. These findings demonstrate that peer-to-peer energy trading between schools and communities can enhance the financial feasibility and sustainability of decentralised solar systems, offering a scalable model for improving energy access and affordability in South Africa and possibly other developing countries. Full article

(This article belongs to the Special Issue Research on Sustainable Transportation and Urban Traffic—3rd Edition)

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27 pages, 1283 KB

Open AccessArticle

Supplier Evaluation in the Electric Vehicle Industry: A Hybrid Model Integrating AHP-TOPSIS and XGBoost for Risk Prediction

by Weikai Yan, Ziqi Song, Senyi Liu and Ershun Pan

Sustainability 2026, 18(2), 977; https://doi.org/10.3390/su18020977 (registering DOI) - 18 Jan 2026

Abstract

As the supply chain of the electric vehicle (EV) industry becomes increasingly complex and vulnerable, traditional supplier evaluation methods reveal inherent limitations. These approaches primarily emphasize static performance while neglecting dynamic future risks. To address this issue, this study proposes a comprehensive supplier [...] Read more.

As the supply chain of the electric vehicle (EV) industry becomes increasingly complex and vulnerable, traditional supplier evaluation methods reveal inherent limitations. These approaches primarily emphasize static performance while neglecting dynamic future risks. To address this issue, this study proposes a comprehensive supplier evaluation model that integrates a hybrid Analytic Hierarchy Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) framework with the Extreme Gradient Boosting (XGBoost) algorithm, contextualized for the EV sector. The hybrid AHP-TOPSIS framework is first applied to rank suppliers based on multidimensional performance criteria, including quality, delivery capability, supply stability and scale. Subsequently, the XGBoost algorithm uses historical monthly data to capture nonlinear relationships and predict future supplier risk probabilities. Finally, a risk-adjusted framework combines these two components to construct a dynamic dual-dimensional performance–risk evaluation system. A case study using real data from an automobile manufacturer demonstrates that the hybrid AHP–TOPSIS model effectively distinguishes suppliers’ historical performance, while the XGBoost model achieves high predictive accuracy under five-fold cross-validation, with an AUC of 0.851 and an F1 score of 0.928. After risk adjustment, several suppliers exhibiting high performance but elevated risk experienced significant declines in their overall rankings, thereby validating the robustness and practicality of the integrated model. This study provides a feasible theoretical framework and empirical evidence for EV enterprises to develop supplier decision-making systems that balance performance and risk, offering valuable insights for enhancing supply chain resilience and intelligence. Full article

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23 pages, 3637 KB

Open AccessArticle

Toward High-Quality and Sustainable Employment: Spatial Evolution and Driving Factors of Precarious Labor Market in China

by Hongbin Huang, Lixing Chai and Gengzhi Huang

Sustainability 2026, 18(2), 976; https://doi.org/10.3390/su18020976 (registering DOI) - 18 Jan 2026

Abstract

Amid the normalization of flexible employment, labor dispatch, as a form of non-standard employment, has become an important component of China’s precarious labor market (PLM). Based on registration data of labor dispatch firms from 2002 to 2022, this paper analyzes the spatial distribution [...] Read more.

Amid the normalization of flexible employment, labor dispatch, as a form of non-standard employment, has become an important component of China’s precarious labor market (PLM). Based on registration data of labor dispatch firms from 2002 to 2022, this paper analyzes the spatial distribution and evolutionary patterns of China’s PLM, using spatial autocorrelation, kernel density estimation, and Gini coefficient methods. Furthermore, it explores its driving mechanisms through a panel negative binomial regression model. The results show that (i) over the past two decades, China’s PLM has undergone four stages: initiation, acceleration, expansion, and adjustment. (ii) Spatially, it has evolved along the trend of “reinforced clustering with concurrent diffusion,” expanding from first-tier cities in eastern China to second- and third-tier cities in central and western China. (iii) Industrial upgrading, market competition, and the overall level of urban development have significantly promoted the growth of the PLM, while improvements in accessibility, proportion of migrant population, and public service provision have somewhat restrained its expansion. Overall, China’s PLM demonstrates both growth potential and structural vulnerability under institutional constraints and external shocks, offering valuable spatial insights for forging sustainable, high-quality employment and coordinated regional development. Full article

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35 pages, 772 KB

Open AccessArticle

Improvisation and New Venture Performance: Unpacking the Roles of Entrepreneurial Self-Efficacy and Learning Orientation

by Osama Elfghi, Kolawole Iyiola, Ahmad Bassam Alzubi and Hasan Yousef Aljuhmani

Sustainability 2026, 18(2), 975; https://doi.org/10.3390/su18020975 (registering DOI) - 18 Jan 2026

Abstract

New ventures operating in volatile and unpredictable environments must rely on rapid adaptation and decisive action, making improvisation a critical entrepreneurial capability. This study examines how improvisation enhances new venture performance by uncovering the psychological and learning-based mechanisms through which its effects unfold. [...] Read more.

New ventures operating in volatile and unpredictable environments must rely on rapid adaptation and decisive action, making improvisation a critical entrepreneurial capability. This study examines how improvisation enhances new venture performance by uncovering the psychological and learning-based mechanisms through which its effects unfold. Drawing on the Knowledge-Based View (KBV) and Social Learning Theory (SLT), the model proposes that improvisation strengthens entrepreneurial self-efficacy, enabling entrepreneurs to approach uncertainty with greater confidence and adaptive judgment. Using a two-wave survey of 322 startup founders in Turkey and analyses conducted through PROCESS and complementary SEM estimation, the findings show that improvisation significantly boosts both entrepreneurial self-efficacy and new venture performance. Entrepreneurial self-efficacy emerges as a key mediating mechanism, indicating that improvisational experiences help entrepreneurs develop mastery, reinforce capability beliefs, and translate spontaneous action into improved outcomes. The results further suggest that improvisational episodes provide immediate learning cues that enhance situational awareness and decision-making agility, deepening the psychological pathway that links spontaneous behavior to venture performance. Additionally, relative explorative learning significantly moderates the relationship between improvisation and entrepreneurial self-efficacy, demonstrating that entrepreneurs benefit more from improvisation when they actively pursue new knowledge, experiment with unfamiliar approaches, and challenge routine assumptions. This moderating role clarifies when improvisation produces its strongest effects, while the mediating mechanism explains how performance improvements materialize through confidence-building processes. By integrating these mechanisms into a unified explanation, the study advances understanding of the improvisation–performance relationship and highlights the importance of learning-oriented behavior in converting spontaneous action into sustained entrepreneurial advantage. The findings offer theoretical contributions and actionable insights for entrepreneurs seeking to strengthen adaptability, resilience, and competitiveness in fast-changing environments. Full article

(This article belongs to the Special Issue Building Sustainable Businesses: Psychological Drivers, Organizational Strategies and Entrepreneurial Development)

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40 pages, 646 KB

Open AccessArticle

Leading Green: How Leadership Styles Shape Environmental Human Resource Management Practices in Greek Hospitality Organizations

by Christos Papademetriou, Dimitrios Belias, Angelos Ntalakos and Ioannis Rossidis

Sustainability 2026, 18(2), 974; https://doi.org/10.3390/su18020974 (registering DOI) - 17 Jan 2026

Abstract

This research focuses on the effects of leadership styles on the implementation of Green Human Resource Management (Green HRM) initiatives in hotels in Greece by staff members, and it recognizes the lack of sustainability research in the Mediterranean hospitality sector. Employing the Full-Range [...] Read more.

This research focuses on the effects of leadership styles on the implementation of Green Human Resource Management (Green HRM) initiatives in hotels in Greece by staff members, and it recognizes the lack of sustainability research in the Mediterranean hospitality sector. Employing the Full-Range Leadership Model, we explore the impact of transformational, transactional, and passive leadership on the implementation of environmental HR practices. The data for this study were obtained from 216 employees in 29 hotels in Greece, who completed the Multifactor Leadership Questionnaire (MLQ-5x) and a Green HRM instrument. Several regression analyses showed that transformational leadership was the most robust positive predictor of Green HRM practices, followed by leadership outcomes and transactional leadership. On the other hand, passive leadership was significantly inversely associated with Green HRM implementation. Demographic variables, such as gender, age, and experience, had a substantial impact on both perceptions of leadership and involvement in Green HRM as well. The results offer significant theoretical implications and practical directions for improving environmental performance in hospitality organizations through the strategic use of leadership development and human resource management ‍‌‍‍‌intervention. Full article

(This article belongs to the Special Issue Advancements and Innovation in Tourism Management and Strategic Management: Sustainable Development Perspective)

31 pages, 630 KB

Open AccessArticle

Sustainable Financial Markets in the Digital Era: FinTech, Crowdfunding and ESG-Driven Market Efficiency in the UK

by Loredana Maria Clim (Moga), Diana Andreea Mândricel and Ionica Oncioiu

Sustainability 2026, 18(2), 973; https://doi.org/10.3390/su18020973 (registering DOI) - 17 Jan 2026

Abstract

In the context of tightening sustainability regulations and rising demands for transparent and responsible capital allocation, understanding how digital financial innovations influence market efficiency has become increasingly important. This study examines the impact of Financial Technology (FinTech) solutions and crowdfunding platforms on sustainable [...] Read more.

In the context of tightening sustainability regulations and rising demands for transparent and responsible capital allocation, understanding how digital financial innovations influence market efficiency has become increasingly important. This study examines the impact of Financial Technology (FinTech) solutions and crowdfunding platforms on sustainable market efficiency, volatility dynamics, and risk structures in the United Kingdom. Using weekly data for the Financial Times Stock Exchange 100 (FTSE 100) index from January 2010 to June 2025, the analysis applies the Lo–MacKinlay variance ratio test to assess compliance with the Random Walk Hypothesis as a proxy for informational efficiency. Firm-level proxies for FinTech and crowdfunding activity are constructed using the Nomenclature of Economic Activities (NACE) and Standard Industrial Classification (SIC) systems. The empirical results indicate substantial deviations from random-walk behavior in crowdfunding-related market segments, where persistent positive autocorrelation and elevated volatility reflect liquidity constraints and informational frictions. By contrast, FinTech-dominated segments display milder inefficiencies and faster information absorption, pointing to more stable price-adjustment mechanisms. After controlling for structural distortions through heteroskedasticity-consistent corrections and volatility adjustments, variance ratios converge toward unity, suggesting a restoration of informational efficiency. The results provide relevant insights for investors, regulators, and policymakers seeking to align financial innovation with the objectives of sustainable financial systems. Full article

(This article belongs to the Special Issue Sustainable Finance, Technologies, and Regulatory Frameworks: Advancing Sustainability in a Digital Era)

21 pages, 581 KB

Open AccessArticle

Pre–Post Evaluation of Slovenia’s Additional Training Programme for Novice Drivers: Implications for Reducing Risk and Promoting Sustainable Road Safety

by Darja Topolšek and Tina Cvahte Ojsteršek

Sustainability 2026, 18(2), 972; https://doi.org/10.3390/su18020972 (registering DOI) - 17 Jan 2026

Abstract

Education and post-licencing training programmes for novice drivers are widely implemented to improve road safety, yet their effectiveness remains debated. This study evaluates short-term attitudinal changes relating to participation in a mandatory post-licencing training programme for novice drivers in Slovenia. A within-subject pre–post [...] Read more.

Education and post-licencing training programmes for novice drivers are widely implemented to improve road safety, yet their effectiveness remains debated. This study evaluates short-term attitudinal changes relating to participation in a mandatory post-licencing training programme for novice drivers in Slovenia. A within-subject pre–post survey methodology was used to evaluate self-reported driving attitudes across six safety-related domains among 225 novice drivers at a Slovenian driving training centre in 2024. Paired t-tests revealed minor yet statistically significant improvement following the programme in perceived support for the additional driver training, lowered overconfidence, heightened care in speeding and intersection behaviour, and enhanced attitudes towards vehicle operation and utilization of safety equipment. Attitudes regarding attention and adherence to traffic regulations showed negligible shifts, indicating a strong baseline attitude towards safe driving. The findings indicate a modest but fairly consistent short-term change in attitudes after programme participation. Due to the lack of a control group and dependence on self-reported data, the findings should be seen as evaluative rather than causative, necessitating more longitudinal and behavioural research to evaluate long-term and behavioural effects. Full article

(This article belongs to the Collection Accident Prevention and Risk Management for Safe and Sustainable Transportation)

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26 pages, 5780 KB

Open AccessArticle

Analysis of Post-Fire Regeneration Dynamics in Pine Plantations Under Naturalistic Management with In Situ Burnt Logs

by Valentina Lucia Astrid Laface, Giuseppe Bombino, Carmelo Maria Musarella, Andrea Rosario Proto and Giovanni Spampinato

Sustainability 2026, 18(2), 971; https://doi.org/10.3390/su18020971 (registering DOI) - 17 Jan 2026

Abstract

Wildfires represent one of the most destructive natural disturbances, yet they play a fundamental ecological role in the regeneration and evolution of forest ecosystems. In Mediterranean regions, fire acts as a selective factor shaping plant adaptive strategies and the structure of vegetation mosaics. [...] Read more.

Wildfires represent one of the most destructive natural disturbances, yet they play a fundamental ecological role in the regeneration and evolution of forest ecosystems. In Mediterranean regions, fire acts as a selective factor shaping plant adaptive strategies and the structure of vegetation mosaics. This study analyzes post-fire regeneration dynamics in Pinus radiata and P. pinaster plantations located in Roccaforte del Greco (Metropolitan City of Reggio Calabria, southern Italy), severely affected by the 2021 wildfires. Phytosociological surveys were conducted along permanent transects using the Braun-Blanquet method and analyzed through diversity indices (Shannon, Evenness), Non-Metric Multidimensional Scaling (NMDS), Indicator Species Analysis (IndVal), and hierarchical clustering. The results reveal a clear floristic differentiation among management conditions, with higher species diversity and variability, and a predominance of pioneer therophytes and hemicryptophytes in burned areas. The in situ retention of burned logs enhances structural and microenvironmental heterogeneity, facilitating the establishment of native species and supporting post-fire functional recovery. Overall, this preliminary study, focusing on early successional dynamics, suggests that the in situ retention of burned logs may positively contribute to ecosystem resilience and biodiversity in post-fire Mediterranean pine forests, while also highlighting the need for long-term monitoring to confirm the persistence of these effects. Full article

(This article belongs to the Special Issue Sustainable Management: Plant, Biodiversity and Ecosystem)

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22 pages, 2784 KB

Open AccessArticle

ERA5-Land Data for Understanding Spring Dynamics in Complex Hydro-Meteorological Settings and for Sustainable Water Management

by Lucio Di Matteo, Costanza Cambi, Sofia Ortenzi, Alex Manucci, Sara Venturi, Davide Fronzi and Daniela Valigi

Sustainability 2026, 18(2), 970; https://doi.org/10.3390/su18020970 (registering DOI) - 17 Jan 2026

Abstract

Springs fed by carbonate-fractured/karst aquifers support spring-dependent ecosystems and provide drinking water in the Italian Apennines, where complex hydro-meteorological environments are increasingly affected by prolonged droughts. The aim of this study was to investigate the hydrogeological behavior of two springs (Alzabove and Lupa) [...] Read more.

Springs fed by carbonate-fractured/karst aquifers support spring-dependent ecosystems and provide drinking water in the Italian Apennines, where complex hydro-meteorological environments are increasingly affected by prolonged droughts. The aim of this study was to investigate the hydrogeological behavior of two springs (Alzabove and Lupa) on the mountain ridge of Central Italy, using monthly reanalysis datasets to support sustainable water management. The Master Recession Curves based on the 1998–2023 recession periods highlighted a slightly higher average recession coefficient for Lupa (α = −0.0053 days⁻¹) than for Alzabove (α = −0.0020 days⁻¹). The hydrogeological settings of the Lupa recharge area led to a less resilient response to prolonged, extreme droughts as detected via the Standardized Precipitation-Evapotranspiration Index (SPEI) computed at different time scales using ERA-5 Land datasets. The SPEI computed at a 6-month scale (SPEI₆) showed the best correlation with monthly spring discharge, with a 1-month delay time. A parsimonious linear regression model was built using the antecedent monthly spring discharge values and SPEI₆ as independent variables. The best modeling performance was achieved for the Alzabove spring, with some overestimation of spring discharge during extremely dry conditions (e.g., 2002–2003 and 2012), especially for the Lupa spring. The findings are encouraging as they reflect the use of a simple tool developed to support decisions on the sustainable management of springs in mountain environments, although issues related to evapotranspiration underestimation during extreme droughts remain. Full article

(This article belongs to the Section Environmental Sustainability and Applications)

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25 pages, 2848 KB

Open AccessArticle

Sustainable Hazardous Mitigation and Resource Recovery from Oil-Based Drill Cuttings Through Slow Pyrolysis: A Kinetic and Product Analysis

by Andres Reyes-Urrutia, Anabel Fernandez, Rodrigo Torres-Sciancalepore, Daniela Zalazar-García, César Venier, César Rozas-Formandoy, Gastón Fouga, Rosa Rodriguez and Germán Mazza

Sustainability 2026, 18(2), 969; https://doi.org/10.3390/su18020969 (registering DOI) - 17 Jan 2026

Abstract

The expansion of unconventional hydrocarbon extraction in the Vaca Muerta Formation (Argentina) has increased the generation of oil-based drill cuttings (OBDCs), a hazardous waste containing up to 20 wt% total petroleum hydrocarbons (TPHs) and trace metals. These characteristics pose risks to soil and [...] Read more.

The expansion of unconventional hydrocarbon extraction in the Vaca Muerta Formation (Argentina) has increased the generation of oil-based drill cuttings (OBDCs), a hazardous waste containing up to 20 wt% total petroleum hydrocarbons (TPHs) and trace metals. These characteristics pose risks to soil and groundwater, highlighting the need for sustainable treatment technologies that minimize environmental impacts and enable resource recovery. This study evaluates slow pyrolysis as a thermochemical route for OBDC stabilization and valorization. Representative samples were characterized through proximate, ultimate, and metal analyses, confirming a complex hydrocarbon–mineral matrix with 78.1 wt% ash, 15.9 wt% volatile matter, and 12.5 wt% TPH. Thermogravimetric analysis (10–20 °C min⁻¹), combined with isoconversional methods, identified three pseudo-components with activation energies ranging from 41.9 to 104.5 kJ mol⁻¹. Slow pyrolysis experiments in a fixed bed (400–650 °C) reduced residual TPH to below 1 wt% at temperatures ≥ 400 °C, meeting Argentine criteria for non-hazardous solids. The process also produced a condensed liquid organic fraction, supporting its potential within circular-economy strategies. Overall, the results show that slow pyrolysis is a viable and sustainable technology for reducing environmental risks from OBDC while enabling resource and energy recovery, contributing to a broader understanding of their thermochemical treatment. Full article

(This article belongs to the Section Energy Sustainability)

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