Search Results (700)

“The Internet of Things” is a relatively new idea that refers to objects that can connect to the Internet and exchange data. The Internet of Things (IoT) enables novel interactions between objects and people by interconnecting billions of devices. While there are many IoT-related products, challenges pertaining to their effective implementation, particularly the lack of knowledge and confidence about security, must be addressed. To provide IoT-based enterprises with a platform for efficiency and sustainability, this study aims to identify the critical elements that influence the growth of a successful company integrated with an IoT system. This study proposes a decision support tool that evaluates the influential features of IoT using the Pythagorean Fuzzy and Interval Grey approaches within the Analytical Hierarchy Process (AHP). This study demonstrates that security, value, and connectivity are more critical than telepresence and intelligence indicators. When both strategies are used, market demand and information privacy become significant indicators. Applying the Pythagorean Fuzzy approach enables the identification of sensor networks, authorization, market demand, and data management in terms of importance. The application of the Interval Grey approach underscores the importance of data management, particularly in sensor networks. The indicators that were finally ranked are compared to obtain a good coefficient of agreement. These findings offer practical insights for promoting sustainability in enterprise operations by optimizing IoT infrastructure and decision-making processes. Full article

The age of entrepreneurship calls for the evolving of learning and development (L&D) models to meet the dynamic demands of innovation, sustainability, and technology innovation. This study examines the trends and issues of L&D models for entrepreneurs, more so focusing on how these models influence business success in a rapidly changing global landscape. The research employs bibliometric analysis, VOSviewer cluster analysis, and co-citation analysis to explore the literature from 1994 to 2024. Data collected from the Web of Science Core Collection database reflect significant trends in entrepreneurial L&D, with particular emphasis on the use of digital tools, sustainability processes, and governance systems. Findings emphasize the imperative role of L&D in fostering entrepreneurship, more so in areas such as digital transformation and the adoption of new technologies. The study also identifies central regions propelling this field, such as UK and USA. Future studies will be centered on the role of digital technologies, innovation, and green business models within entrepreneurial L&D frameworks. This study provides useful insight into the future of L&D within the entrepreneurial domain, guiding academia and companies alike in the planning of effective learning strategies to foster innovation and sustainable business growth. Full article

Demands for companies to comply with environmental, social, and governance (ESG) requirements are growing, and companies are also expected to play a role in promoting sustainable development. For companies to achieve sustainable growth while addressing ESG, it must be understood whether ESG activities promote improved corporate financial performance. We conducted a five-year panel data analysis of 635 Japanese firms from FY 2019 to FY 2023, using the PBR, PER, and ROE financial indicators as the dependent variables and CSR ratings in the human resource utilization (HR), environment (E), governance (G), and social (S) categories as the independent variables. The results revealed that, depending on the combination of ESG field and financial indicators, companies with advanced ESG initiatives had greater financial performance, with some cases showing a nonlinear relationship; differences in the results between manufacturing and nonmanufacturing industries were also observed. For companies to effectively advance ESG activities, it is important to clarify the objectives and results for each ESG category. For policymakers to consider measures to encourage companies’ ESG activities, it is also important to design finely tuned regulations and incentives according to the ESG category and industry characteristics. Full article

This study examines the influence of ethical leadership on corporate sustainability and financial performance, highlighting the moderating effect of firms’ commitment to the United Nations Sustainable Development Goals (SDGs). Utilizing panel data from 420 automotive companies spanning 2015 to 2024, the analysis applies the System Generalized Method of Moments (GMM) to control for endogeneity and unobserved heterogeneity. All data were gathered from the Refinitiv Eikon Platform (LSEG) and annual reports. Panel GMM regression is used to estimate the relationship to deal with the endogeneity problem. The results reveal that ethical leadership significantly improves corporate sustainability performance—measured by ESG scores from Refinitiv Eikon and Bloomberg—as well as financial indicators like Return on Assets (ROA) and Tobin’s Q. Additionally, firms that demonstrate breadth (the range of SDG-related themes addressed), concentration (the distribution of non-financial disclosures across SDGs), and depth (the overall volume of SDG-related information) in their SDG disclosures gain greater advantages from ethical leadership, resulting in enhanced ESG performance and higher market valuation. This study offers valuable insights for corporate leaders, policymakers, and investors on how integrating ethical leadership with SDG alignment can drive sustainable and financial growth. Full article

The management of transfer pricing operations is considered from the perspective of modeling financial and accounting processes for various organizations, using agricultural enterprises as an example. It is demonstrated that the execution of transfer pricing operations between related parties—which may function as responsibility centers within an organizational holding structure—serves as a managerial lever influencing the financial income and expenses of individual business units. It is revealed that the developed model of managerial accounting for transfer pricing operations, grounded in tax compliance and the balancing of stakeholder interests, is based on two key aspects: first, to ensure the balanced development of the company’s business units, a list of key performance indicators (KPIs) is developed and integrated into a balanced scorecard (BSC), promoting the sustainable and stable operation and growth of the company; second, with access to this list of KPIs, the manager of each business unit can exert indirect influence over a segment of the final product’s value chain by selecting transfer prices that adhere to the arm’s length principle. The practical application of the proposed model is illustrated using previously formed economic operations from the research base. Full article

Precisely deciding potential suppliers enables companies to engage with high-caliber partners that fulfill their strategic development requirements, bolster their core competitiveness, and foster sustainable market growth. To mitigate the challenges enterprises face in selecting appropriate suppliers, a recommendation method for potential suppliers tailored to a small-sized dataset is proposed. This approach employs an enhanced Graph Convolutional Neural Network (GCNN) to resolve the accuracy deficiencies in supplier recommendations within a limited dataset. Initially, a supply preference network is created to ascertain the topological relationship between the company and its suppliers. Subsequently, the GCNN is enhanced through dual-path refinements in network structure and loss function, culminating in the adaptive feature perception model. Thereafter, the adaptive feature perception model is employed to adaptively learn the topological relationship and extract the company’s procurement preference vector from the trained model. A matching approach is employed to produce a recommended supplier list for the company. A case study involving 143 publicly listed companies is presented, revealing that the proposed method markedly enhances the accuracy of potential supplier recommendations on a small-sized dataset, thereby offering a dependable and efficient approach for enterprises to effectively evaluate potential suppliers with limited data. Full article

Leadership is essential for promoting the circular economy (CE) by fostering systemic thinking, promoting resource efficiency, and driving innovative practices that close material loops and minimize environmental impact. In addition, the principles of CE recommend changing production chains to balance economic development, sustainability, and social well-being. This study examines a tertiary packaging company’s circular economy implementation, by using a framework and a circular business model canvas (CBMC) and by identifying the challenges and opportunities for improving environmental management. The method was a participatory research case study using interviews and frameworks. In the context of this company, servitization in logistics was highlighted as an alternative to overcome growth challenges and to add value; however, the company faces significant challenges in implementing it. In addition, it is necessary to increase consciousness among those involved about the concept of the CE and its benefits to improve operational efficiency and review product design to expand environmental management. This research concludes that servitization (as a circular economy strategy), environmental education, and innovation practices can help companies achieve greater financial performance in the packaging industry and contribute to sustainable development goals—SDG achievements. Full article

Emerging economies such as China have benefited from rapid growth but now face acute carbon risk amid worsening environmental conditions. Carbon-intensive firms—major emitters—face rising carbon risk that pervades operations and threatens efficient capital allocation. To advance global climate-change mitigation, help China meet its dual-carbon goals, and enhance corporate financial sustainability, we analyze panel data on 575 Chinese carbon-intensive companies from 2012 to 2022 and estimate OLS models to assess how carbon risk influences capital mismatch. Results show that higher carbon risk significantly widens capital mismatch, whereas higher media attention and better corporate governance each weaken this effect. These findings suggest that regulators and the media should monitor carbon-intensive firms more closely to improve information transparency and guide capital to its most productive uses, while firms themselves need to strengthen governance to limit the damage carbon risk inflicts on capital allocation. Full article

Background: The retail sector in Jordan is adopting Industry 4.0 (I4.0) technologies to enhance efficiency and sustainability. Nevertheless, there is a lack of empirical evidence to inform retail managers regarding the impact of I4.0 adoption on environmental, economic, and social sustainability, particularly in dynamic contexts. Therefore, this study aims to investigate the impact of Industry 4.0 on the three types of sustainable performance, with the moderating effect of environmental dynamism. Methods: This quantitative study collected data using a cross-sectional survey of 100 retail professionals from large companies that was analyzed using structural equation modeling (SEM) to test the hypotheses. Results: I4.0 practices improved retail environmental, economic, and social sustainability. Additionally, environmental dynamism moderated the relationship between I4.0 and environmental sustainability, suggesting that dynamic environments may reduce the effectiveness of I4.0 technologies in driving environmental performance. Economic and social sustainability had no significant moderating effects. Conclusions: This study examines the sustainability benefits of I4.0 adoption in an unexplored developing economy. It emphasizes the strategic importance of digital transformation for retail sustainability and provides practical recommendations for dynamic markets. The findings support I4.0 technologies role in sustainable growth and lay the groundwork for digital transformation research in emerging markets. Full article

Climate change and environmental degradation necessitate green innovation (GI) to provide new solutions for sustainable economic growth. As many firms allocate scarce resources to green innovation, researchers, practitioners, and policymakers are keen to understand information disclosure on green innovation, particularly in company financial statements. This study empirically investigates the relationship between GI and conservative financial reporting. Using a dataset of 8945 unique firms, from 2001 to 2024, we discover a negative relationship between GI and conservative financial reporting. We further document that firms with high exposure to climate change exhibit a more pronounced negative relationship between GI and conservative financial reporting. In addition, we find that the presence of regulatory risks and public awareness, particularly after the adoption of the Paris Agreement, weakens the negative association between GI and conservative financial reporting. Our findings shed further light on information disclosure on green innovation, which is crucial for various stakeholders to utilize such information and make relevant decisions. Full article

In the digital age, e-commerce has become a critical part of modern economies, shaping global economic growth and the pursuit of the Sustainable Development Goals (SDGs). This study uses robust statistical methods to explore the complex relationships between traditional trade, e-commerce, and key economic and sustainability indicators. The General Linear Model (GLM), factor analysis, and linear regression reveal that conventional trade remains vital for GDP growth, even though e-commerce clearly influences SDG performance. The study emphasizes the catalytic role of e-commerce in advancing sustainability by showing how treating it as a dependent variable speeds up SDG progress through Brown, Holt, and ARIMA forecasting models. Additionally, cluster analysis uncovers a strong link between higher SDG scores and increased e-commerce activity, with countries scoring better on sustainability often having more companies in the digital economy and earning more online. This research provides a comprehensive understanding of how e-commerce can support global sustainability goals, along with integrated policy recommendations that promote digital transformation and long-term environmental and social resilience. Full article

To achieve climate goals and promote clean energy, China has introduced preferential VAT policies to promote the development of renewable energy power generation industries, but their actual impact on corporate profitability remains underexplored. This study innovatively applies a DID approach, enhanced with PSM and dynamic modeling, to evaluate the causal effects of VAT incentives on firm ROE. Using panel data from 98 listed power generation companies between 2010 and 2024, this study distinguishes treatment effects across the wind, solar, and hydrogen sectors, revealing significant heterogeneity. Unlike prior studies, it further investigates time-lagged impacts and fiscal efficiency indicators to assess policy sustainability. Results show that VAT incentives significantly enhance ROE for wind and solar firms, while the hydrogen sector exhibits weaker responses. These findings not only confirm the effectiveness of targeted tax incentives but also offer new insights for refining fiscal policies to better support sector-specific transitions toward renewable energy. This study provides empirical evidence for the design of China’s fiscal energy policy to maximize the growth of the renewable energy sector. More broadly, this study provides lessons for global green transition policies, illustrating how well-designed fiscal incentives can support sustainable energy development worldwide. Full article

As China enters a high-quality development stage, balancing economic growth and environmental sustainability is essential. Can industrial intelligence reconcile these goals? Using theoretical modeling, this paper integrates production decisions, pollution emissions, and environmental regulations to construct a micro-level analytical framework incorporating technology choice and emission reduction investment. It theoretically explores how robot adoption affects firms’ emission reduction behaviors and empirically tests the model using data from Chinese listed companies (2011–2022). Results indicate that industrial robots significantly reduce firms’ pollution emission intensity through productivity boost, technological progress, and emission reduction effects. Additionally, heterogeneity analyses show that robots have stronger pollution-reducing impacts in heavily polluting industries, state-owned enterprises, and regions with stringent environmental regulations. Therefore, policymakers should encourage robot adoption based on local contexts, formulate differentiated environmental regulations, and implement targeted strategies to maximize robots’ emission reduction potential. Accelerating green and intelligent transformation of enterprises will further align ecological protection with sustainable economic and social development. Full article

The transition to a circular economy is essential for enhancing sustainability and resource efficiency, particularly in forestry-dependent regions. This study examines circular economy business models (CEBMs) in Kouvola, Finland, focusing on the utilization of forestry by-products. It compares two case studies: Keltakangas Waste Station, which processes wood waste into biogas, and Koumet, a forestry company producing biochar. Using a comparative case study approach, this research integrates financial analysis (2020–2023), interviews with managers, and policy reviews to assess economic performance, scalability, and environmental impact. Additionally, this study introduces a generalizable framework—Scalability Path Dependency (SPD)—which theorizes how early strategic decisions shape the long-term growth trajectories of circular business models. The findings reveal that Keltakangas follows a capital-intensive model with declining profit margins, while Koumet operates a resource-efficient model with stable but low profitability. Their scaling strategies diverge: Keltakangas relies on external financing for expansion, whereas Koumet emphasizes cost efficiency and market diversification. Despite ongoing challenges related to infrastructure, regulation, and financial viability, both models contribute meaningfully to circularity. This study offers actionable insights for policymakers and businesses aiming to support sustainable forestry practices. Full article

In response to growing environmental concerns, hydrogen production has emerged as a critical element in the transition to a sustainable global economy. We evaluate the impact of hydrogen production on both the financial performance and market value of energy sector companies, using balanced panel data from 288 European-listed firms over the period of 2018 to 2022. The findings reveal a paradox. While hydrogen production imposes significant financial constraints, it is positively recognized by market participants. Despite short-term financial challenges, companies engaged in hydrogen production experience higher market value, as investors view these activities as a long-term growth opportunity aligned with global sustainability goals. We contribute to the literature by offering empirical evidence on the financial outcomes and market valuation of hydrogen engagement, distinguishing between production and storage activities, and further categorizing production into green, blue, and gray hydrogen. By examining these nuances, we highlight the complex relationship between financial market results. While hydrogen production may negatively impact short-term financial performance, its potential for long-term value creation, driven by decarbonization efforts and sustainability targets, makes it attractive to investors. Ultimately, this study provides valuable insights into how hydrogen engagement shapes corporate strategies within the evolving European energy landscape. Full article