Verification Of Behavior Research Articles

Investigation on Dynamic Behaviors of Ship Propulsion Shafting with Misalignment Based on Stochastic Uncertainty Models

To investigate the effect of stochastic uncertainty on the dynamic behaviors of ship propulsion shafting with misalignment, a stochastic uncertainty model of ship shafting is established based on nonparametric theory and stochastic excitation. Numerical simulation and experimental verification of the dynamic behaviors are carried out using a ship shafting test bench. The results indicate that stochastic uncertainty has a significant effect on the dynamic behaviors of shafting with misalignment. With an increase in stochastic uncertainty, the fractional frequency appears in the spectrum, and the axis trajectory becomes more complex and gradually deviates from the center orbit. Therefore, to ensure the safe navigation of ships, it is necessary to consider the stochastic uncertainty in dynamic research on the misalignment of shafting.

Unveiling the adsorption mechanism of propanehydrazine derivatives on magnesium oxide surface: Insights from computational approach

The use of green and effective inhibitors for preventing metal oxide (MgO) corrosion in industrial applications is highly significant in promoting environmental protection and sustainable development. This study delves into the adsorption behavior and interfacial mechanism of environmentally friendly inhibitor derived from propane hydrazine (PH) on MgO surface. Specifically, PH1, PH2, PH3, and PH4 were explored for their effectiveness in preventing corrosion by using advanced theoretical simulations-based density functional theory (DFT) for assessing the reactivity and adsorption characteristics. The study considered a detailed exploration of local and global reactivity descriptors, providing insights into the inhibitors’ reactivity and adsorption abilities in both isolated and adsorbed states. These findings focus more in the mechanisms underlying organic-inorganic interactions and present promising prospects for further development and application. Using first-principles DFT calculations alongside quantitative molecular surface analyses, we examined the adsorption patterns of PHs on the MgO(100) surface. These investigations are boosted by the application of independent gradient model (IGM) framework, providing robust verification of PHs' adsorption behavior on MgO(100) surface. Our calculations reveal a substantial decrease in the energy gap following complex formation, suggesting that charge density changes occur upon interaction with MgO surfaces, thereby facilitating direct electron transfer in all the studied systems. Noreover, the results highlight the crucial role of intermolecular interactions in boosting the interaction between PHs and the [Mg(H2O)6]2+ cation. First-principles DFT calculations show that all PH molecules consistently display parallel adsorption on the MgO surface, where the oxygen atoms form bonds with adjacent magnesium atoms. The bond lengths vary from 2.18 to 2.35 Å when PHs bind to the Mg atoms in parallel orientations through the oxygen atom, suggesting a stable parallel arrangement for PH molecules on the MgO surface. The calculated adsorption energy (Eads) varies in the following order: MgO-PH3 (−815.14 Kcal mol−1) > MgO-PH2 (−803.85 Kcal mol−1)) > MgO-PH4 (−695.38 Kcal mol−1) > MgO-PH1 (−125.77 Kcal mol−1). This trend indicates that parallel interactions enhance the adsorption behavior and binding of PH compounds through inter- and intra-molecular interactions, resulting in the PHs being centered at specific sites on the MgO surface. The potential enhancement in electrochemical properties is believed to stem from the synergistic interaction between the PHs and the MgO surface, which theoretically allows for a precise adjustment of their adsorption and interaction within the composite structure. This understanding provides a fundamental framework for examining the complex interfacial dynamics between inhibitor structures and elucidating how these molecular interactions influence the selection of corrosion inhibitors and their adsorption behaviors on the corrosion layer's surface, rather than on metallic Mg.

A Dynamic Behavior Verification Method for Composite Smart Contracts Based on Model Checking

A composite smart contract can execute smart contracts that may belong to other owners or companies through external calls, bringing more security challenges to blockchain applications. Traditional static verification methods are inadequate for analyzing the dynamic execution of these contracts, resulting in misjudgment and omission issues. Therefore, this paper proposes a model checking approach based on dynamic behavior that verifies the security and business logic of composite smart contracts. Utilizing automata, the method models contracts, users, attackers, and extracts properties, focusing on six types of common security vulnerabilities. A thorough case study and experimental evaluation demonstrate the method’s efficiency in identifying vulnerabilities and ensuring alignment with business requirements. The UPPAAL tool is employed for comprehensive verification, proving its effectiveness in enhancing smart contract security.

When code isn’t law: rethinking regulation for artificial intelligence

Abstract This article examines the challenges of regulating artificial intelligence (AI) systems and proposes an adapted model of regulation suitable for AI’s novel features. Unlike past technologies, AI systems built using techniques like deep learning cannot be directly analyzed, specified, or audited against regulations. Their behavior emerges unpredictably from training rather than intentional design. However, the traditional model of delegating oversight to an expert agency, which has succeeded in high-risk sectors like aviation and nuclear power, should not be wholly discarded. Instead, policymakers must contain risks from today’s opaque models while supporting research into provably safe AI architectures. Drawing lessons from AI safety literature and past regulatory successes, effective AI governance will likely require consolidated authority, licensing regimes, mandated training data and modeling disclosures, formal verification of system behavior, and the capacity for rapid intervention.

Verification of scaling behavior near dynamic phase transitions for nonantisymmetric field sequences.

We investigate the scaling behavior of the magnetic dynamic order parameter Q in the vicinity of the dynamic phase transition (DPT) in the presence of temporal field sequences H(t) that are periodic with period P but lack half-wave antisymmetry. We verify by means of mean-field calculations that the scaling of Q is preserved in the vicinity of the second-order phase transition if one defines a suitable generalized conjugate field H^{*} that reestablishes the proper time-reversal symmetry. For the purpose of our quantitative data analysis, we employ the dynamic equivalent of the Arrott-Noakes equation of state, which allows for a simultaneous scaling analysis of the period P and the conjugate-field H^{*} dependence of Q. By doing so, we demonstrate that both the scaling behavior and universality are preserved, even if the dynamics is driven by a more general applied field sequence that lacks antisymmetry.

Verification of the mechanical behavior of concrete with partial replacement of the fiber resulting from tire retreading

This study investigates the mechanical behavior of concrete with partial replacement of tire retread fibers, aiming to assess their suitability as a sustainable alternative in concrete production. Through a comprehensive analysis of mechanical properties, the research sheds light on the viability of integrating tire retread fibers into concrete mixtures. Key findings include the reduction in specific mass due to increased porosity with higher fiber content, emphasizing the importance of optimizing this property. Additionally, the study observes decreased compressive strength over time, highlighting the need for understanding concrete performance changes. While tensile strength peaks at 15% replacement, further investigation is warranted to ascertain long-term trends. Furthermore, the absorption by capillarity test reveals that fiber pores mitigate water absorption, offering potential for enhancing concrete properties and reducing structural weight. These insights inform construction professionals, researchers, and policymakers striving to advance sustainable practices in the construction sector.

Early Validation and Verification of System Behaviour in Model-based Systems Engineering: A Systematic Literature Review

In the Systems Engineering (SE) domain there has been a paradigm shift from document-based to model-based system development artefacts; in fact, new methodologies are emerging to meet the increasing complexity of current systems and the corresponding growing need of digital workflows. In this regard, Model-Based Systems Engineering (MBSE) is considered as a key enabler by many central players of the SE community. MBSE has reached an adequate level of maturity, and there exist documented success stories in its adoption in industry. In particular, one significant benefit of utilising MBSE when compared to the traditional manual and document-centric workflows is that models are available from early phases of systems development; these enable a multitude of analyses prior any implementation effort together with other relevant capabilities, like the automation of development tasks. Nonetheless, it is noticeable there is a lack of a common understanding for how formal analyses for the verification and validation (V&V) of systems behaviour, specifically in the early phases of development, could be placed in an MBSE setting. In this article, we report on the planning, execution, and results of a systematic literature review regarding the early V&V of systems behaviour in the context of model-based systems engineering. The review aims to provide a structured representation of the state of the art with respect to motivations, proposed solutions, and limitations. From an initial set of potentially relevant 701 peer-reviewed publications we selected 149 primary studies, which we analysed according to a rigorous data extraction, analysis, and synthesis process. Based on our results, early V&V has usually the goal of checking the quality of a system design to avoid discovering flaws when parts are being concretely realised; SysML is a de facto standard for describing the system under study, while the solutions for the analyses tend to be varied; also V&V analyses tend to target varied properties with a slight predominance of functional concerns, and following the variation mentioned so far the proposed solutions are largely context specific; the proposed approaches are usually presented without explicit limitations, while when limitations are discussed, readiness of the solutions, handling of analyses simplifications/assumptions, and languages/tools integration are among the most frequently mentioned issues. Based on the survey results and the standard SE practices, we discuss how the current state-of-the-art MBSE supports early V&V of systems behaviour with a special focus on industrial adoption and identify relevant challenges to be researched further.

Formal Modeling and Verification of Embedded Real-Time Systems: An Approach and Practical Tool Based on Constraint Time Petri Nets

Modeling and verification of the correct behavior of embedded real-time systems with strict timing constraints is a well-known and important problem. Failing to fulfill a deadline in system operation can have severe consequences in the practical case. This paper proposes an approach to formal modeling and schedulability analysis. A novel extension of Petri Nets named Constraint Time Petri Nets (C-TPN) is developed, which enables the modeling of a collection of interdependent real-time tasks whose execution is constrained by the use of priority and shared resources like processors and memory data. A C-TPN model is reduced to a network of Timed Automata in the context of the popular Uppaal toolbox. Both functional and, most importantly, temporal properties can be assessed by exhaustive model checking and/or statistical model checking based on simulations. This paper first describes and motivates the proposed C-TPN modeling language and its formal semantics. Then, a Uppaal translation is shown. Finally, three models of embedded real-time systems are considered, and their properties are thoroughly verified.

Observation of the nonanalytic behavior of optical phonons in monolayer hexagonal boron nitride

Phonon splitting of the longitudinal and transverse optical modes (LO-TO splitting), a ubiquitous phenomenon in three-dimensional polar materials, will break down in two-dimensional (2D) polar systems. Theoretical predictions propose that the LO phonon in 2D polar monolayers becomes degenerate with the TO phonon, displaying a distinctive “V-shaped” nonanalytic behavior near the center of the Brillouin zone. However, the full experimental verification of these nonanalytic behaviors has been lacking. Here, using monolayer hexagonal boron nitride (h-BN) as a prototypical example, we report the comprehensive and direct experimental verification of the nonanalytic behavior of LO phonons by inelastic electron scattering spectroscopy. Interestingly, the slope of the LO phonon in our measurements is lower than the theoretically predicted value for a freestanding monolayer due to the screening of the Cu foil substrate. This enables the phonon polaritons in monolayer h-BN/Cu foil to exhibit ultra-slow group velocity (~5 × 10−6c, c is the speed of light) and ultra-high confinement (~ 4000 times smaller wavelength than that of light). These exotic behaviors of the optical phonons in h-BN presents promising prospects for future optoelectronic applications.

Blockchain for Artificial Intelligence (AI): enhancing compliance with the EU AI Act through distributed ledger technology. A cybersecurity perspective

The article aims to investigate the potential of blockchain technology in mitigating certain cybersecurity risks associated with artificial intelligence (AI) systems. Aligned with ongoing regulatory deliberations within the European Union (EU) and the escalating demand for more resilient cybersecurity measures within the realm of AI, our analysis focuses on specific requirements outlined in the proposed AI Act. We argue that by leveraging blockchain technology, AI systems can align with some of the requirements in the AI Act, specifically relating to data governance, record-keeping, transparency and access control. The study shows how blockchain can successfully address certain attack vectors related to AI systems, such as data poisoning in trained AI models and data sets. Likewise, the article explores how specific parameters can be incorporated to restrict access to critical AI systems, with private keys enforcing these conditions through tamper-proof infrastructure. Additionally, the article analyses how blockchain can facilitate independent audits and verification of AI system behaviour. Overall, this article sheds light on the potential of blockchain technology in fortifying high-risk AI systems against cyber risks, contributing to the advancement of secure and trustworthy AI deployments. By providing an interdisciplinary perspective of cybersecurity in the AI domain, we aim to bridge the gap that exists between legal and technical research, supporting policy makers in their regulatory decisions concerning AI cyber risk management.

Enhancing heat transfer processes in 2U-Rack Servers: A study case employing thermal simulation and the Taguchi method

The data center industry consumes large quantities of energy due to the consumption spawned by Information Technology Equipment (ITE) and air conditioning systems. Servers constitute the predominant portion of ITE within a data center. Relatedly, diverse optimization strategies are required to minimize data centers' energy consumption. This paper used a 2U-Rack Server, specifically, the R261-3C0 server as a study case to enhance heat transfer processes by minimizing the temperature variation in the high thermal-stress components and optimizing airflow patterns. The Taguchi Method is used for this purpose. A thermal simulation is conducted using Computational Fluid Dynamics (CFD) techniques through the Ansys Fluent code. Seven design variables were proposed as control factors, submitting them to the noise factors. New parameters such as the motherboard lifting, the displacement of heatsinks and the CPUs, and the fan speed variation will be introduced among these control factors. Among the noise factors, we considered the fluid velocity at the server inlet region and the Operating Point of the Fan (OPF). After applying the Taguchi Method, the control factors and their optimal levels were obtained. The thermal simulation presented a consistent performance. The optimal configuration of the control parameters generated a 10 °C decrease in the server's overall temperature, an air circulation enhancement by the vector field behavior verification, and a 17.11 % decrease in the server's thermal variation. The optimized model stays in its verification phase, and the validation phase should be accomplished in future work.

Behavioral verification and risk factors of HIV cross-population transmission in China: analysis of national surveillance data 1989–2022

IntroductionThe dynamic HIV/AIDS epidemic significantly impacts China, particularly affecting injection drug users (IDUs), former plasma donors (FPDs), men who have sex with men (MSM), and those engaging in high-risk heterosexual behavior (HRHB). This study specifically focuses on identifying the risk factors and influences that drive the spread of HIV among these population groups by performing a comprehensive analysis of contact histories of individuals diagnosed with HIV.MethodsData for this research were gathered from China’s HIV/AIDS Comprehensive Response Information Management System (CRIMS). Contact histories were described using bar and venn diagram. Trend in engaging in HBRB among MSM were identify potential change using the Cochran-Armitage test. Logistic regression was employed to analyze the factors influencing HBRB in MSM.ResultsFrom 1989 through to 2022, a total of 1,457,218 individuals aged 15 years or older in China, who reported being infected with HIV, indicated they had one or more types of contact histories including injecting drug use, male homosexual behavior, commercial plasma donation, and high-risk heterosexual behavior. Among these, 97.0% reported a single type of contact history, while 3.0% reported having multiple contact histories. Of those with multiple contact histories, 98.0% (42,258 individuals) had engaged in HRHB. Among all HIV-infected IDUs, MSM, and FPDs, their respective proportions of engagement in HRHB were 11.8%, 5.7% and 6.2%. Prior to 2012, most were reported to be IDUs; however, subsequent to this, most reported being MSM. Factors that heightened the risk of engaging in HRHB among HIV-infected MSM included being of age between 25–34 years [adjusted odds ratio (AOR) = 1.29] or 35–44 years (AOR = 1.22), marital status such as being married (AOR = 1.23) or being divorced/widowed (AOR = 1.17), belonging to an ethnic minority (AOR = 1.29), receiving diagnosis in hospitals (AOR = 1.81), residing in rural areas (AOR = 1.12), among others. However, the risk of HRHB decreased when age ≥ 55 years (55–64 years: AOR = 0.82; ≥ 65 years: AOR = 0.64).ConclusionThe potential for HIV transmission among diverse populations is substantial. As such, it is imperative that strategies are implemented to mitigate the propagation of HIV to the general populace via heterosexual intercourse.

Enhanced low-gamma band power in the hippocampus and prefrontal cortex in a rat model of depression is reversed by orexin-1 receptor antagonism

The hippocampal-prefrontal cortex network dynamics is reported to be involved in various cognitive functions and in different mood disturbances including depression. It has been suggested that blocking orexin-1 receptors can be beneficial in depression. The purpose of this study is to determine whether orexin-1 receptor antagonists have an impact on changes in brain oscillations in the hippocampus and prefrontal cortex in a rat model of depression. Forty-eight male Wistar rats were divided into six experimental groups: control, chronic mild stress (CMS), acute SB-334867, a selective orexin-1 receptor antagonist, treated rats (SB), chronic SB-treated (CSB), CMS+SB, and CMS+CSB. Two stainless steel recording electrodes were placed in the coordinates of the hippocampus (HPC) and the prefrontal cortex (PFC). After behavioral verification of the model, local field potentials were recorded at 1 kHz sampling frequency. The absolute power of different frequency bands was obtained using the Fast Fourier Transform (FFT) function, and the power spectral density (PSD) of each frequency band was calculated for each animal. In the CMS- treated animals, the low-gamma band power increased both in the HPC and PFC (p ≤ 0.05), which were reversed by chronic SB-334867 treatment (p ≤ 0.05). The alterations in theta, and high-gamma band power were not significant in CMS treated rats, while acute and chronic SB-334867 treatment diminished the theta and high-gamma band power (p ≤ 0.05), respectively. The hippocampal-prefrontal coherence decreased in the delta (p ≤ 0.01), theta (p ≤ 0.01), and alpha (p ≤ 0.05) band range of the CMS exposed rats. It is concluded that CMS boosts the low-gamma band power, which is reversed by CSB treatment. The low-frequency band coherence is attenuated after CMS treatment.

Comparative verification of hydro-mechanical fracture behavior: Task G of international research project DECOVALEX–2023

Numerical simulations become a necessity when experimental approaches cannot cover the required physical and time scale of interest. One of such area is a simulation of long-term host rock behaviors for nuclear waste disposal and simulation tools involved in the assessment must go through rigorous validation tests. The DECOVALEX project (Development of COupled models and their VAlidation against EXperiments) is dedicated to this purpose by international participants.aawww.decovalex.org. This work is part of the ongoing phase DECOVALEX–2023 (D–2023, Task G) particularly aiming to simulate fracture behaviors under various conditions. Here, we cross-verified a variety of numerical methods including continuous and discontinuous approaches against four benchmark exercises with emphasis on numerical accuracy and parameterization of the various numerical approaches. The systematic inter-comparisons of test cases highlight advantages and disadvantages of the different numerical models. Numerical details on discretization effects (e.g. mesh density and orientation) and domain size were investigated in detail for practical applications. It became evident that meticulous attention to mesh resolution and domain size is imperative for achieving accurate numerical simulations, even for static cracks. Moreover, when comparing numerical methods to closed-form solutions for static cracks, all models successfully reproduced the maximum crack opening but encountered challenges near the crack tips. Finally, the paper discusses how to convert between and therefore compare parameters of various numerical approaches. Our benchmark studies reveal that each model necessitates a distinct number of parameters, even in simple scenarios like static crack aperture benchmarks. It is generally more practical to employ fewer parameters to mitigate model over-parameterization and enhance experimental feasibility.

Experimental verification of the bistable behavior of conical Kresling origami

Origami-inspired structures have attracted various multidisciplinary applications in the field of science and technology. Among these, the classical Kresling origami pattern has been widely exploited for its bistable behavior. However, the experimental investigation and verification of the bistability phenomenon of non-prismatic Kresling origami pattern has not been presented in the literature. This study focuses on the mathematical and experimental investigations of the bistable behavior of the conical Kresling pattern. The paper utilizes a mathematical investigation based on the energy approach to develop qualitative and quantitative stability maps for conical Kresling structures while considering the conicity of the structure with respective design parameters of the conical Kresling pattern. A systematic experimental methodology is introduced to investigate the quasistatic behavior of conical Kresling structures under applied vertical displacement, followed by the experimental characterization of the restoring force behavior considering different design parameters. Moreover, the bistability points obtained from experimental investigations are verified with mathematically developed bistability maps.

Executive functions scale for university students: UEF-1.

Executive functions are a set of mental abilities that allow human beings to consciously regulate their behavior and, in a university setting, will have a significant impact on student success during professional training. To develop a scale to assess executive functions in a university setting. Using a sample of 1,373 university students from Chile (663) and Ecuador (710) between 17 and 33 years old (Mage = 20.53, SD = 2.34). A study was carried out to analyze the psychometric properties of the instrument using a reliability and validity analysis for a scale that assesses executive functions: conscious monitoring of responsibilities, supervisory attentional system, conscious regulation of behavior, verification of behavior to learn, decision making, conscious regulation of emotions, and management of elements to solve tasks. Adequate internal consistency parameters were found between α = 0.71 and 0.85. The seven executive functions proposed on the scale correlated proportionally between r = 0.42 and 0.62. In the confirmatory factor analysis, good fit indices were obtained in the model of the seven executive functions x2(413) = 1649.14, p = <0.001, CFI = 0.91, SRMR = 0.04 and RMSEA = 0.04. The research carried out reaches its conclusion stating that the scale that was developed has the psychometric properties to assess executive functions in the Latin American setting. The results regarding previous research and the contribution made in the line of research of executive functions are discussed.

Verification of the optimal kinetics behaviour during the methyl blue dye adsorption onto quaternized starch derivative

This paper reports the adsorption of methyl blue dye onto a quaternized starch derivative (S-Quat) from an aqueous solution. The starch derivatization was achieved via the reaction between (3-chloro-2-hydroxypropyl) tri-methyl ammonium chloride (Quat-188) and maize starch in the presence of aqueous sodium hydroxide. Various instrumental characterization techniques were deployed to confirm the presence of important functional groups, crystalline structure and surface texture/morphology, which played key roles during the dye uptake. The Brunauer–Emmett–Teller (BET) surface area and pore size of the S-Quat were recorded as 41.328 ​m2. g−1 and 1.763 ​nm, respectively. The effect of solution pH, contact time and adsorbent concentration on the adsorption capacity of the S-Quat were examined via batch mode. Maximum adsorption of ∼260 ​mg/g was achieved at pH 2.0 ​and 75 ​min contact time. Furthermore, the kinetic data modelling showed that the Fractional power, Brouser–Weron–Sotolongo (BWS), and Fractal-like PFO (FPFO) models, respectively, were the top three models of best fit. Thus, the quaternized starch derivative (S-Quat) showed good dye adsorption potentials.

Experimental characterization of TIAGO torch discharges: surface wave discharge behavior and (post-)discharge kinetics

The Torche à Injection Axial sur Guide d’Ondes source—better-known as the TIAGO torch—is a particular type of microwave-induced plasma that has become a focus of technological and scientific interest due to its outstanding features. Moreover, the TIAGO torch device arouses interest thanks to its remarkable performance in many challenging areas, such as green energy generation and graphene production by hydrocarbon decomposition. Although it has not been experimentally demonstrated to date, discharges generated by a TIAGO torch have been theoretically predicted to be surface wave discharges (SWDs), a kind of plasma leading the development of new materials. Therefore, deeper and fundamental research on this device is needed to optimize the implementation of plasma technology in these fields. In this study, the axial distribution of gas temperature, electron density and intensity of the main atomic and molecular emissions have been studied by optical emission spectroscopy when feeding the discharge with different input power values (200, 400 and 600 W). A complete axial characterization of both the dart and the plume regions is depicted and, according to the data obtained for the main plasma parameters, different regions can be identified, with the radiation zone being reported for the first time at atmospheric pressure. The kinetics of both the dart and the plume are discussed and an experimental verification of TIAGO torch behavior as a SWD is presented for the first time.

Atomistic simulation and experimental verification of tribological behavior of high entropy alloy/graphene composite coatings

Dissatisfactory yield strength and wear have been critical issues in FCC single phase high entropy alloy (HEA) limiting wide applications as advanced engineering materials, in spite of their attractive mechanical and physical properties. Here we show by introducing graphene layer, the tribological properties of Fe20Ni20Cr20Co20Cu20/graphene composite coatings can be noticeably enhanced. In this work, molecular dynamics simulations were performed to probe the tribological mechanisms of HEA/graphene composite coatings. It was revealed that the reasonable choice of single-layer graphene geometry and embedding position play an important part in friction reduction and anti-wear of the coatings. The graphene interface not only cause robust dislocation blockage from HEA, but also reduces the accumulation of atoms at surface during sliding. Besides, the influence of temperature on the tribological behavior of the coatings is explored. The tribological performances of the coatings were also investigated by the experimental nanoscratch test, which are consistent with the simulation results. The present work provides a theoretical and technical support for the design of wear-resistant self-lubricating coatings, promoting the engineering applications of HEA coating materials.

Exploring a Pathway to Sustainable Organizational Performance of South Korea in the Digital Age: The Effect of Digital Leadership on IT Capabilities and Organizational Learning

In the age of Industry 4.0, the emergence of new technologies is compelling organizations to search for new methods for sustainability. In particular, IT capabilities and organizational learning competencies with digital leadership play crucial roles in managing environmental dynamism, which are profoundly related to sustainable organizational performance in the digital age. This study explored sustainable organizational performance from the perspective of digital leadership (DL) and the role of IT capabilities (IT infrastructure, IT business spanning, IT-proactive stance), as well as organizational learning in sustainable organizational performance. For this research, data from 173 employees from South Korean organizations were collected using an online survey on digital leadership, IT capabilities, organizational learning, and sustainable organizational performance (SOP). Here, an SPSS- and AMOS-based structural equation modeling technique was used to examine the outcomes for analysis. The results confirmed that digital leadership significantly directly affected SOP. Moreover, there was no mediating effect of IT infrastructure and IT business spanning; however, an IT-proactive stance and organizational learning fully mediated the relationship between DL and SOP. This research will aid leadership behavior alongside other knowledge-based studies that empirically tested the role of digital leadership, IT capabilities, organizational learning, and SOP. As digital leadership competencies demand is surging for managing digital challenges alongside the verification of digital leadership behavior and knowledge-based theory, the important role of DL regarding IT capabilities and organizational learning in SOP needs to be prudently considered in the South Korean context.