Search Results (100)

Insider threats pose significant challenges to organizations, seriously endangering information security and privacy protection. These threats arise when employees with legitimate access to systems and databases misuse their privileges. Such individuals may alter, delete, or insert data into datasets, sell customer or client email addresses, leak strategic company plans, or transfer industrial and intellectual property information. These actions can severely damage a company’s reputation, result in revenue losses and loss of competitive advantage, and, in extreme cases, lead to bankruptcy. This study presents a novel solution that examines how organizational factors such as job satisfaction and security, organizational support, attachment, commitment, involvement in information security, and organizational norms influence employees’ attitudes and intentions, thereby mitigating insider threats. A key strength of this research is its integration of two foundational theories: the Social Bond Theory (SBT) and the Theory of Planned Behavior (TPB). The results reveal that job satisfaction and security, affective and normative commitment, information security training, and personal norms all contribute to reducing insider threats. Furthermore, the findings indicate that employees’ attitudes, perceived behavioral control, and subjective norms significantly influence their intentions to mitigate insider threats. However, organizational support and continuance commitment were not found to have a significant impact. Full article

Green innovation has emerged as a key catalyst for the sustainable growth of logistics enterprises. Green innovation not only helps logistics enterprises reduce operating costs but also enhances their competitiveness and promotes the entire industry’s transformation towards environmental protection and efficiency. However, logistics enterprises encounter technical bottlenecks, capital shortages, and insufficient talent and infrastructure when implementing green innovation. Collaboration between universities and industries serves as a crucial method for logistics companies to access external resources and plays a significant role in promoting technological progress, knowledge transfer, and innovation capability enhancement of enterprises. This research, grounded in the theories of social capital and dynamic capabilities, explores the mechanism from the perspective of resources and capabilities, and examines how university–industry collaboration affects green innovation. This research employs a hierarchical regression model to evaluate the proposed hypotheses. The research results show that university–industry collaboration has a positive impact on social capital, slack resources, and dynamic capabilities, and social capital, slack resources, and dynamic capabilities positively influence green innovation. The research results have certain reference value for logistics enterprises to promote green innovation. Full article

This study investigates the transfer of rural land contracting rights in Shandong Province, China, employing a mixed methods approach that integrates qualitative policy analysis and quantitative multiple linear regression models based on panel data from 16 prefecture-level cities (collected in 2010–2022). The findings demonstrate that land transfer optimizes resource allocation, enhances agricultural output efficiency, and serves as a critical mechanism for advancing agricultural modernization and rural revitalization. Key drivers, such as agricultural modernization and industrial development, significantly promote land transfer, particularly in coastal areas, while challenges like non-standardized contracts and inadequate farmer protections persist. The study proposes targeted strategies, including strengthening agricultural modernization, enhancing farmer income through non-agricultural industries, and improving institutional frameworks to stabilize the land transfer market. Additionally, it highlights the potential role of rural social workers in addressing contentious issues such as women’s rights, displacement, and access to resources, ensuring equitable and sustainable rural development. These measures aim to accelerate agricultural modernization, promote rural economic growth, and enhance the competitiveness and social well-being of rural areas, providing a robust foundation for policy formulation. Full article

In competitive organizations and projects, assessing risks related to human capital is essential for improving workplace conditions and ensuring project success. This study evaluates primary, secondary, and residual human capital risks in urban water transfer projects using an innovative hybrid DEMATEL–MARCOS approach. The DEMATEL method was employed to analyze causal relationships and interdependencies among risks, while the MARCOS method ranked their significance. The key findings reveal that “accidents during material transportation” (primary risk), “corrosion” (secondary risk), and “pipeline pressure” (residual risk) are the most critical factors influencing human capital in such projects. The study provides a structured framework for prioritizing risk mitigation strategies, offering actionable insights for policymakers and project managers to enhance safety, efficiency, and workforce well-being. By integrating multi-criteria decision-making techniques, this research bridges a gap in the water industry’s risk management practices and contributes to safer, more sustainable infrastructure development. Full article

As the core region of global steel production and consumption, the zero-carbon transition of China, Japan, and South Korea is crucial for global climate goals and industrial chain sustainability. Hydrogen-based direct reduction iron (H-DRI) production, powered by renewable energy, is a promising pathway for reducing carbon emissions. This study compares the competitive dynamics of hydrogen-based steel production in China, Japan, and South Korea, with a particular focus on the levelized cost of energy (LCOE), levelized cost of hydrogen (LCOH), and levelized cost of steel (LCOS) as key metrics for evaluating the economic viability of green hydrogen-based steel production. And then compares and analyzes the competitiveness of China, Japan, and South Korea in hydrogen-based steel production, focusing on the role of green hydrogen and renewable energy in shaping the future steel industry. This study examines the impact of technological advancements, resource endowments, and policy support on H-DRI production. It highlights the importance of offshore wind power in Japan and South Korea, where its development plays a key role in reducing the cost of green hydrogen production and providing a stable electricity supply for H-DRI production. However, the high capital expenditures (CAPEXs) and labor costs associated with offshore wind power in these countries make importing relevant technologies and products from China a more cost-effective option. This study also explores the strategic importance of international cooperation and technology transfer, emphasizing the potential for China, Japan, and South Korea to strengthen bilateral collaboration in green hydrogen and H-DRI technologies. Such cooperation supports the region’s steel decarbonization efforts and enhances its global competitiveness. The integration of offshore wind power and hydrogen production technologies offers new opportunities for energy cooperation in East Asia, with China playing a key role in providing low-cost green energy solutions. Full article

Small and medium-sized enterprises (SMEs) face unique challenges that can be effectively addressed through the adoption of data mining and business intelligence (BI) tools. This systematic literature review scrutinizes the deployment and efficacy of BI and data mining technologies across SME sectors, assessing their impact on operational efficiency, strategic decision-making, and market competitiveness. Therefore, drawing from a methodologically rigorous analysis of 93 scholarly articles published between 2014 and 2024, the review elucidates the evolving landscape of BI tools and techniques that have shaped SME practices. It reveals that advanced analytics such as predictive modeling and machine learning are increasingly being adopted, though significant gaps remain, particularly shaped by economic factors. The utilization of BI and data mining enhances decision-making processes and enables SMEs to adapt effectively to market dynamics. Despite these advancements, SMEs encounter barriers such as technological complexity, high implementation costs, and substantial skills gaps, impeding effective utilization. Our review, grounded in the analysis of business intelligence tools used indicates that dashboards (31.18%) and clustering techniques (10.75%) are predominantly utilized, highlighting their strategic importance in operational settings. However, a considerable number of studies (66.67%) do not specify the BI tools or data mining techniques employed, pointing to a need for more detailed methodological transparency in future research. The predominant focus on the ICT and manufacturing sectors underscores the industrial context sector specific applicability of these technologies, with ICT accounting for 45.16% and manufacturing 22.58% of the studies. We advocate for targeted educational programs, development of user-friendly and cost-effective BI solutions, and strategic partnerships to facilitate knowledge transfer and technological empowerment in SMEs. Empirical research validating the impacts of BI and data mining on SME performance is crucial, providing a directional pathway for future academic inquiries and policy formulation. Full article

This paper explores how bioeconomy-specialized clusters function as systemic intermediaries that support innovation, coordination, and business transformation in the transition to a circular bioeconomy. Using a qualitative case study methodology, we analyze how bioclusters in Romania enable SME development, knowledge transfer, and cross-sector innovation, ultimately strengthening regional entrepreneurial ecosystems. Findings highlight the role of clusters in supporting innovation management, access to financing, and policy alignment in the transition toward a circular bioeconomy. By fostering entrepreneurial networks, facilitating skill development, and supporting SME-driven innovation, clusters act as catalysts for inclusive and resilient business growth. This study highlights how clusters create an enabling environment by providing access to financing, technology, and market expansion opportunities. Although focused on a specific regional biocluster ecosystem, the findings underscore the scalability and replicability of this model across Europe, reinforcing its contribution to entrepreneurship, innovation, and regional economic development. This study contributes to the literature on entrepreneurial ecosystems and circular bioeconomy governance, emphasizing the role of clusters as intermediary organizations that facilitate business-led sustainability transitions. The findings offer practical insights for policymakers, industry leaders, and researchers, outlining strategies to strengthen cluster-based innovation, enhance SME competitiveness, and embed circular practices into national and regional bioeconomy strategies. This paper’s added value lies in combining the Technological Innovation Systems (TIS) framework with empirical evidence from Romanian clusters—a context underexplored in current literature on circular bioeconomy transitions. Full article

This paper highlights the transition from traditional procurement systems to the newly introduced eProcurement system in Saudi Arabia, emphasizing the differences and improvements and their implications for sustainable development. The new system aims to enhance transparency, clarify purchasing methodologies, and build trust with the government through effective governance of government purchases and tender management. Guided by Royal Decree, this system aligns with the eProcurement Program to transition into digital processes for proficient bids and government purchases, contributing to more efficient and sustainable procurement practices. While some public agencies have attempted to adopt the new model contract for executing construction projects, it has faced challenges due to its lack of alignment with the best practices and sustainability considerations. The authors argue that many large projects remain exempt from this system, which poses obstacles to achieving the goals of sustainable economic development. The objective of this paper is to explore the newly revised Saudi procurement contracts in comparison with traditional public works contracts, with a focus on how they address socio-economic and environmental sustainability. The research provides an overview of various aspects related to public works contracts (PWCs) in Saudi Arabia, including framework agreements, online reverse auctions, industry localization, knowledge transfer, traditional lump sum contracts, two-phase tenders, and construction project competitions, analyzing their alignment with sustainable development goals. There is limited literature on recent models introduced by the Saudi government, but there are extensive resources on general contract law principles and international public policy. This foundation helps with understanding the legal aspects of public works contracts in Saudi Arabia, their alignment with international standards, and their implications for fostering sustainable development. By examining the literature, researchers can gain insights into the legal and policy framework governing public works contracts in Saudi Arabia and their role in promoting sustainability. The importance of this research lies in its comparative analysis, offering valuable insights into the evolution of procurement practices in Saudi Arabia and their contribution to sustainable socio-economic growth. Full article

Using raw and modified lignocellulosic residues as bioadsorbents in continuous adsorption is challenging but it marks significant progress in water treatment and the transition to a bio-based circular economy. This study reviews the application of bioadsorbents in fixed-bed columns for treating water contaminated with inorganic species, offering guidance for future research. It evaluates chemical modifications to enhance adsorptive properties, explores adsorption mechanisms, and analyzes bioadsorbent performance under competitive adsorption conditions. Analysis of adsorption data included evaluation of adsorption capacity in mono- and multicomponent solutions, regeneration, reuse, bed efficiency, and disposal of spent bioadsorbents. This enabled assessing their scalability to sufficiently high levels of maturity for commercialization. In multicomponent solutions, selectivity was influenced by the characteristics of the bioadsorbents and by competitive adsorption among inorganic species. This affected adsorption performance, increasing the complexity of breakthrough curve modeling and controlling the biomaterial selectivity. Models for mono- and multicomponent systems are presented, including mass transfer equations and alternatives including “bell-type” equations for overshooting phenomena and innovative approaches using artificial neural networks and machine learning. The criteria discussed will assist in improving studies conducted from cradle (synthesis of new biomaterials) to grave (end use or disposal), contributing to accurate decision making for transferring the developed technology to an industrial scale and evaluating the technical and economic feasibility of bioadsorbents. Full article

Presented in this paper is the Impact Monitor framework and interactive Dashboard Application (DA) validated through a use case, focusing on investigating the viability and competitiveness of future propulsion architectures for next-generation aircraft concepts. This paper presents a novel collaborative framework for integrated aircraft-level assessments, focusing on secure, remote workflows that protect intellectual property (IP) while enabling comprehensive and automated analyses. The research addresses a key gap in the aerospace domain: the seamless matching and sizing of aircraft engines within an automated workflow that integrates multiple tools and facilitates real-time data exchanges. Specifically, thrust requirements are iteratively shared between aircraft and engine modeling environments for synchronized sizing. Subsequently, the fully defined aircraft data are transferred to other tools for trajectory analysis and emissions and other assessments. The Impact Monitor framework and Dashboard Application demonstrate improved efficiency and data security, promoting effective collaboration across institutions and industry partners. Full article

Sweetening compounds are commonly incorporated into food products to enhance their texture and flavor, thereby indicating product quality. 4-Hydroxy-2,5-dimethyl-3(2H)-furanone (HDMF) is a sweet aromatic compound characterized by its pineapple-like baking scent. While it serves as a taste enhancer in various industries, including wine production and soy sauce manufacturing, HDMF also exhibits DNA-damaging activity in foods. In this study, a fluorescence detection method based on fluorescence resonance energy transfer (FRET) for the sensitive detection of HDMF was developed. Initially, gold nanoparticles were deposited onto the surface of Fe₃O₄ to create fluorescence-quenching materials. Subsequently, thiol-functionalized β-cyclodextrin (SH-β-CD) was modified to provide cavities that allow the fluorescent dye rhodamine 6G (R6G) to enter. The fluorescence of R6G remains quenched until HDMF is present because it will compete with R6G for binding sites within the SH-β-CD cavities through competitive host–guest recognition. Furthermore, the fluorescence intensity of R6G at 553 nm exhibited a strong linear correlation with the logarithmic value of HDMF concentration over a range from 5 × 10⁻⁷ M to 10⁻⁴ M. This rapid and sensitive fluorescence detection strategy rooted in FRET and competitive host–guest recognition demonstrated significant potential for detecting HDMF in food products. Full article

University–industry (U–I) collaborations are widely recognized as key drivers of economic progress, innovation, and competitiveness, fostering significant scholarly interest. Concurrently, research findings on these interactions have contributed to the establishment of an interdisciplinary field marked by the inherent complexity of these relationships. This study aims to map the conceptual structure of university–industry knowledge transfer (UIKT) research from 1980 to 2023 by employing co-word analysis and social network analysis based on data retrieved from the Scopus database. The results reveal that 1577 documents were published during this period, incorporating 147 keywords, with the five most frequent being “innovation”, “higher education”, “university”, “technology transfer”, and “knowledge management”. The United Kingdom was identified as the most prolific country, contributing 366 documents, while Research Policy emerged as the most cited journal, with 3546 citations. This study offers a comprehensive overview of the current state of UIKT research, paving the way for future studies and providing valuable directions for further investigations. Full article

The relevance of this research lies in the increasing global focus on sustainable development, the growth of the green economy, and the pursuit of national and international goals in these areas. This study examines the role of environmental collaboration models and green business integration in implementing environmental and technological projects to achieve sustainable development goals aimed at the enhancement of resource efficiency and environmental performance within companies. Open environmental collaboration business models generate additional value and competitive advantages by leveraging the synergistic integration of resources and knowledge among all participants. The study’s methodological foundation includes systems analysis and comparative analysis. The findings identify the key characteristics of open environmental collaboration business models and propose recommendations for establishing a system to assess green integration projects. The proposed approach was validated through application at one of the largest pulp and paper manufacturers. As a result of the implementation of the environmental collaboration business model, the profit of Syktyvkar Forest Industry Complex increased four times, revenue almost doubled, product output increased by 89%, and asset value increased by 62%. The study contributes to a deeper understanding of how industrial integration impacts regional green development. It also provides empirical insights and policy recommendations for businesses and governments to promote environmental collaboration and advance green development through knowledge and technology transfer. Full article

The retention of organizational knowledge is increasingly challenging for companies giventhe aging workforce, high turnover rates, and declining birth rates. This study explores the knowledge transfer processes during generational transitions and examines how digital transformation facilitates business model innovation. Specifically, it examines theknowledge transfer procedures implemented in companies in the Autonomous Community of the Basque Country, a competitive industrial region in Europe. Using a quantitative approach, 168 individuals in key leadership positions were surveyed on the mechanisms used for knowledge retention and their effectiveness. The results reveal that while companies prioritize knowledge transfer, most lack effective protocols. Organizations employing both digital and analog strategies are perceived as more efficient in retaining knowledge. Only half of the companies integrate knowledge transfer processes into their management strategies, with no observed differences in employee knowledge-sharing behaviors based on company size. This study concludes that a lack of structured procedures may harm long-term competitiveness, recommending that companies invest more in developing formal generational handover protocols. This research underscores the vital importance of knowledge retention for organizational sustainability and highlights the need for further exploration to address this issue. Full article

The continuously intensified pursuit to reduce emissions related to human activity and the increased competition in maritime sector calls for sustainable and well-planned solutions to conform with environmental constraints and maximize profit, respectively. In a sector that is very critical for human activities, such as the maritime industry, it is essential to be able to reduce ship emissions without increasing the overall cost of operations and the time to transfer the cargo. All these parameters make ship routing and ship emission reduction very crucial. This work examines the effective routing of large ships with an integrated full-electric propulsion system and the optimal power generation scheduling of their generators to attain the minimum possible operational cost. To achieve this, the problem was formulated, modeled and solved in two stages, namely, ship routing and power generation scheduling, respectively. The first stage was solved using the Particle Swarm Optimization (PSO) method and the second one with a conventional optimization algorithm based on the steepest decent concept. The proposed ship routing method is based on the sea resistance concept and the minimization of total ship propulsion energy. The obtained results show that the optimal path is a combination of the minimum distance path and the minimum resistance path. Ship sustainability is reinforced with the reduction in ship operation cost and ship emissions. Ship emission reduction is achieved in the second optimization stage using a suitable emission index that complies with IMO regulations. Full article