Internal Variables Research Articles

Integration of financing and macroeconomic shock in Islamic banking in Indonesia

Purpose – This study analyzes the relationship between Islamic banking financing and macroeconomic variables as well as its response to key economic variables.Methodology – The research design uses quantitative analysis with Islamic banking panel data for the period 2019-2022 with monthly data, and the study used the Vector Error Correction Model (VECM).Findings – Non Performing Financing (NPF) and Inflation negatively impact Islamic banking financing. Meanwhile, Third Party Funds (Dana Pihak Ketiga, DPK), Net Operating Margin (NOM), Return on Assets (ROA), Equivalent Rate of Musyarakah (ERPMUSY), and BI rates have a positive direction of significance for Islamic banking financing. In the Granger causality test, the interaction between the variables was unidirectional. While Islamic banking financing responds to shocks, many financings respond negatively to the shocks that occur.Implications – Islamic Financing responds significantly in a negative direction as a result of the shocks that occur in each variable and based on long-term estimates. Therefore, Islamic banking needs to supervise and resolve the internal influence of each bank, as well as the macro influence that can be felt in the long term on Islamic banking financing.Originality – This research integrates Islamic banking finance in Indonesia and examines how internal and macro variables can influence the financing disbursed to Islamic banking in Indonesia. This study also examines shocks between variables and tests the Granger causality between variables. Islamic banking needs to pay attention to many factors to minimize bad financing or lack of interest in applying for financing.

On Accurate Discrete-Time Dynamic Models of an Induction Machine

Induction machines have become the standard for highly demanding industrial applications. This has led to the utilization of modern discrete-time control techniques (such as model predictive control) that require the estimation of internal variables that are not subject to measurement (such as the rotational velocity in sensorless applications). From this point of view, it is fundamental to have accurate discrete-time models of induction machines, particularly given their nonlinear nature, so that control techniques perform according to design requirements. In spite of the above, the modeling of induction machines has not received much attention in the literature, even though more powerful machines and faster microcontrollers are currently being used. To better understand induction machine models for control, in this paper, we develop and compare various discrete-time models of induction machines based on Euler, Taylor, and Runge–Kutta methods. In addition, we compare the Extended Kalman Filter and Unscented Kalman Filter for state estimation in terms of accuracy and computational burden. The models are derived and compared through extensive Monte Carlo simulations and the state estimation techniques are compared in terms of root mean squared error, execution time, and maximum absolute error. Our simulations show that, in general, the Taylor method yields more accurate models than both the Runge–Kutta and Euler methods. In particular, the Taylor method results in a root mean square error that is one order of magnitude smaller than the Euler method for stator current and rotor flux linkages. For rotor angular speed, the Runge–Kutta methods are more accurate than both the Taylor and Euler methods, resulting in a root mean square error that is two orders of magnitude smaller than the Euler method. On the other hand, the Extended Kalman Filter results in smaller execution time than the Unscented Kalman Filter, up to two orders of magnitude. In terms of root mean squared error and maximum absolute error, both filtering algorithms perform similarly.

Analisis Determinan Pencegahan Fraud Pengelolaan Dana Desa dengan Moralitas sebagai Moderasi

Purpose: This study aims to test empirically and analyze the effect of competence, internal control systems, religiosity, and whistleblowing on fraud prevention in managing village funds with morality as a moderating variable.
 
 Method: The research sample was village officials in Secang District, Magelang Regency using the purposive sampling method and obtained 78 respondents, while for testing the hypothesis using moderated regression analysis.
 
 Results: The results showed that competence had a positive effect on fraud prevention in managing village funds and religiosity had a negative effect on fraud prevention in managing village funds. Meanwhile, the internal control system and whistleblowing have no effect on fraud prevention in managing village funds. Morality strengthens the influence of religiosity on fraud prevention while morality weakens the influence of competence on fraud prevention in village fund management. However, morality does not moderate the influence of internal control system variables and whistleblowing on the prevention of village fund management fraud.
 
 Implications: This research is expected to add to knowledge, insight, and empirical evidence and can be a reference for further research on fraud prevention in village fund management. In addition, it is hoped that this will provide additional information and input to encourage the Village Government to improve fraud prevention in managing village funds
 
 Novelty: This research builds on previous research by adding a whistleblowing variable which is expected to improve performance and prevent fraud.

A space–time gauge theory for dynamic plasticity: Non-linear micro-inertia and its consequences

Exploiting the invariance of energy density under local translation in space–time, a gauge theoretic model is developed for dynamic viscoplasticity in polycrystalline solids. The invariance is preserved using minimally replaced space–time gauge covariant operators. Translation in time leads to a new definition of gauge covariant temporal derivative; hence the classical notion of velocity is modified. Using a space–time pseudo-Riemannian metric, we derive an evolution equation for the equivalent plastic strain, which is expressed via the compensating fields thus giving it a geometric meaning. Dissipative terms and some higher order temporal and spatial derivatives naturally appear in the model. Also established is a correspondence of the compensating field due to spatial translation with Kröner’s multiplicative decomposition of the deformation gradient. Using this framework, we explicate on the geometric interpretation of certain internal variables often used in classical viscoplasticity models. In order to assess how the theory performs, we carry out numerical simulations of uniaxial and 3D continuum viscoplasticity problems. We specifically explore the role of a nonlinear micro-inertia term in phenomena involving anomalous strain rate sensitivity, e.g. negative strain rate sensitivity, strain rate locking, and in possible oscillations in the stress–strain response.

Young learners’ academic self-concepts for L2/L3 French and English

ABSTRACT Academic self-concept (ASC) is a student’s self-perceived level of ability in an academic domain and a major factor involved in academic performance. We examined the importance of internal/external sources of evaluation for the structure of L2 and L3 ASCs in two groups of 5th/6th graders learning English and French in Switzerland (mean age: 12.1). The target languages were introduced to the children in reverse order as part of the Swiss mandatory curriculum: L2 English/L3 French in Group 1 (n = 464) and L2 French/L3 English in Group 2 (n = 157). Network analysis returned a consistent pattern in the constitution of L2/L3 ASCs irrespective of target language and language curriculum. The children hold distinct ASCs for the L2 and L3. Internal affective variables (intrinsic motivation and anxiety) correlate more strongly with L2/L3 ASCs than external variables (perceived encouragement from teachers and parents, comparison with peers). Dedication to FL learning emerges as a crucial construct that mediates the connection between L2/L3 ASCs and the external variables. Cross-linguistic correlations between L2 and L3 are identified for parental encouragement, extrinsic motivation, dedication, and anxiety, suggesting that these are language-integrated dispositions for instructed FL learning. In comparison, intrinsic motivation and perceived teacher motivation are target language specific.

Three-dimensional creep calculation model for reliability analysis of concrete-filled steel tubular (CFST) structure

For long-span concrete-filled steel tube (CFST) structure, it is essential to implement efficient and realistic prediction models for the long-term processes of core concrete creep. In order to systematically study the main influential factors in CFST structure creep effects, a probabilistic analysis can be performed. The objective of this paper is to analyse the long-term response of CFST structure by using time-dependent reliability method. To address the problem of creep calculation, a novel and comprehensive presentation was developed. By converting the integral-type creep law to a differential-type form with internal variables, based on the Kelvin chain model, an elastic structural analysis with generally orthotropic elastic moduli and eigenstrains was established. We have compiled a three-dimensional (3-D) finite-element analysis programme that considers the creep Poisson effect of core concrete to analyse the long-term performance of the CFST structure. This is achieved by developing a commercial finite element code, such as Usermat in ANSYS. As calculation examples, several time-dependent analyses of a CFST stub column and long-span CFST arch bridge were performed. The calculated results of long-term behaviour agree well with experimental and measured data. Considering the randomness of various input parameters, such as physical dimensions and materials of the CFST structure, we have analysed the uncertainty using the Latin-hypercube-sampling (LHS) stochastic finite-element method. The results of creep sensitivity analysis revealed that coefficient of creep model uncertainty, steel and concrete elastic modulus were the three most influential parameters for CFST stub columns’ creep, and load, coefficient of creep model uncertainty, relative humidity, steel and concrete elastic modulus were the five for CFST arch bridges’ long-term deflection. In addition, the use of Monte Carlo (MC) and response surface (RS) methods for structural stochastic reliability analysis demonstrates the ability of these approaches to assess the reliability index of long-span CFST arch bridges. This provides a valuable reference for the design and performance evaluation of CFST structures.

SME’s leadership in improving performance

The discussions about leadership and performance never end. Successful leadership (LD) is a causal factor in good individual performance (IP). However, how it affects still requires a lot of proof. This research examined the influence of LD on IP both directly and mediated by individual internal variables. This research examined the mediating variables of the influence of LD on IP. The research was conducted on 416 employees of small and medium enterprises (SMEs) in Yogyakarta, Indonesia using a questionnaire whose validity and reliability were tested. Once the data meets the requirements of the multiple linear regression test, the multiple linear regression (MLR) method was carried out to test the direct influence of LD, motivation (MT) and job satisfaction (JS) on IP. Structural equation modeling (SEM) with a two-step approach was used to test the mediation model. Increased IP is not immediately caused by LD. However, leaders can increase MT and JS directly. MT consistently improves IP, but JS has no effect on IP. The results of this study strengthen the results of previous research that the influence of LD on IP is mediated by MT and JS. A discussion of the results of this research is presented after the presentation of the analysis of the research results.

Nonlinear constitutive model of CFRP composites under constant direct current: Combined effects of thermal damage and dielectric degradation

Prolonged exposure to low-density direct current (DC) can lead to mechanical degradation of carbon fiber-reinforced polymer (CFRP) composites, posing significant risks to material safety and reliability. This paper presents a nonlinear constitutive model to elucidate the mechanical degradation of CFRP composites when subjected to DC influences. Grounded in the principles of non-equilibrium thermodynamics, this model introduces two internal variables to account for the impact of thermal damage and dielectric degradation on the Helmholtz free energy. Furthermore, specialized dissipation functions are employed to derive the evolution equations governing these internal variables. Utilizing the model, we analyze the damage progression in carbon fiber–epoxy laminates subjected to constant DC loading. The theoretically projected resistivity and elastic modulus align closely with available experimental data in literature, thus confirming the rationality and accuracy of the proposed model. This model holds the potential to forecast the long-term evolution of mechanical properties in unidirectionally reinforced composite materials with varying carbon fiber contents under the influence of DC, thereby furnishing a theoretical foundation for enhancing the reliability design of CFRP composites in electrically-charged environments.

Multi drug resistance in Colorectal Cancer- approaches to overcome, advancements and future success

A significant obstacle to treating cancer is multidrug resistance (MDR), which is the capacity of cancerous cells to develop resistance to both traditional and cutting-edge chemotherapeutic treatments. Following the initial discovery that cellular pumps reliant on ATP were the root of chemotherapy resistance, more research has revealed the involvement of additional mechanisms, including increased drug metabolism, reduced drug entry, and compromised apoptotic pathways. Numerous projects have focused on MDR, and innumerable research has been conducted to better understand MDR and develop methods to mitigate its consequences. Multidrug resistance (MDR) is a key challenge in treating cancer. 90% of cancer-related fatalities are brought on by tumor metastasis and recurrence, which is possible with MDR. Drug resistance in cancerous cells is influenced by diverse internal and extrinsic variables, including genetic and epigenetic changes, drug efflux systems, DNA repair mechanisms, apoptosis, and autophagy. In this review paper, we list the potential hazards associated with cancer therapy in general, primarily multidrug resistance developing a theory for colorectal cancer in particular. We discussed the unique instance of multidrug resistance in colorectal cancer in malignancies generally and 5-fluorouracil, curcumin, and lipids as viable therapy options for the condition. The use of nanotechnology (mainly nanoparticles) has facilitated better in vitro as well as in vivo efficacy during preclinical phases, summarized below, allowing for a more thorough investigation of colorectal cancers and pancreatic carcinomas with their translation to following clinical trials.

Derivations of the stress-strain relations for viscoanelastic media and the heat equation in irreversible thermodynamic with internal variables

Abstract By using a procedure of classical irreversible thermodynamics with internal variable (CIT-IV), some possible interactions among heat conduction and viscous-anelastic flows for rheological media are studied. In particular, we introduce as internal variables a second rank tensor ε α β ( 1 ) \varepsilon _{\alpha \beta }^{(1)} that is contribution to inelastic strain and a vector ξα that influences the thermal transport phenomena and we derive the phenomenological equations for these variables in the anisotropic and isotropic cases. The stress-strain equations, the general flows and the temperature equation in visco-anelastic processes are obtained and when the medium is isotropic, we obtain that the total heat flux J (q) can be split in two parts: a first contribution J (0), governed by Fourier law, and a second contribution J (1), obeying Maxwell-Cattaneo-Vernotte (M-C-V) equation.

Analysis of the Relationship between Internal and External Variables and the Level of Women's Participation in Development Planning in Lintongnihuta Subdistrict, Humbang Hasundutan Regency

This study delves into the multifaceted participation of women in Village Development Planning Deliberation (Musrenbangdes) within the Lintongnihuta District, analyzing the influence of various factors like age, education, occupation, income, and duration of residence. Employing an eight-question Likert scale, the research measures women's engagement and utilizes quantitative descriptive data analysis, including frequency tables. The study employs cross-tabulation analysis (chi-square test) and validity tests with the Pearson Product-Moment formula through SPSS v24 software to determine relationships between internal and external factors and their impact on women's participation. Findings underscore Musrenbangdes as a substantive platform for authentic expressions of women's aspirations, revealing significant positive correlations between participation and internal factors such as age, education, communication, and leadership. While all proposals are accepted, government scrutiny precedes execution. The study advocates enhancing women's involvement through targeted improvements, childcare support, and health education, offering valuable insights for a more inclusive and effective development planning process.

Circadian-based approach for improving physiological, phytochemical and chloroplast proteome in Spinacia oleracea under salinity stress and light emitting diodes

Salt stress is a recognized annihilating abiotic stress that has a significant impact on agricultural and horticulture crop productivity. Plant development faces three distinct dangers as a result of salt stress: oxidative stress, osmotic stress, and ionic toxicity. It has been shown that plants can forecast diurnal patterns using the circadian clock; moreover, they can manage their defensive mechanism for the detoxification of reactive oxygen species (ROS). Circadian rhythmicity in gene expression assembles transcription and translation feedback networks to govern plant shape, physiology, cellular and molecular activities. Both external and internal variables influence the systemic rhythm via input routes. The Malav Jyoti (MJ) and Delhi Green (DG) genotypes of spinach (Spinacia oleracea) were grown in the plant growth chamber. The chamber had an optimized temperature of 25 °C and humidity of 65% containing light emitting diode (LED) having Red: Blue: white (one side) and White fluorescent (other side) under salinity stress. The samples were collected on the basis of 4 h intervals of circadian hours (0 h, 4 h, 8 h and 12 h) during Day-10 and Day-20 of salt treatments. Under salt stress, the circadian and light-emitting diode-based strategy had a substantial influence on spinach's anti-oxidative responses, stomatal movement, CO2 assimilation, PS-I and II efficiency, phytochrome pigment efficiency, and photosynthesis. Based on the findings of the free radical scavenging enzyme tests, the photoperiodic hours for the proteome analysis were set to 11 am and 3 pm on Day-20. When compared to white fluorescent, this study found that LED has the capacity to influence the entrainment cues of the circadian clock in the cultivation of salt-sensitive spinach genotypes. According to our findings, changing the cellular scavenging mechanism and chloroplast proteome has increased the survival rate of spinach genotypes under LED when compared to white fluorescent.

Quantized dynamic event-triggered control for fixed/preset-time bipartite synchronization of memristor-based discontinuous multi-layer signed networks

This study addresses the fixed/preset-time bipartite synchronization (FTBS/PTBS) of memristor-based discontinuous multi-layer signed networks via quantized dynamic event-triggered control (ETC). Firstly, a memristor-based neural network model incorporating multi-layer coupling structures, signed networks and discontinuous activations is built. Subsequently, by designing two quantized dynamic ETC strategies without the linear feedback term, the FTBS and PTBS of the considered networks are discussed, and it is proved that Zeno behavior can be ruled out. In contrast to the previous static ETC mechanism, the introduced internal dynamic variable can significantly decrease the triggering times and further save communication resources. Lastly, three numerical examples are offered to verify the correctness and practicability of the theoretical analysis.

Determinants of open membership in brazilian credit unions

Purpose: To identify the determining factors of Open Membership in Brazilian credit unions between 2016 and 2020.
 Methodology: A logistic regression model was used to estimate these factors. The analysis considered both specific internal variables of the cooperatives (age, asset size, number of members, and affiliation to systems) and variables representing the macroeconomic environment in which these institutions operate (municipal development index, population size in municipalities with service points (PACs) and cooperative headquarters).
 Results: The main results indicate that a lower population size in the municipalities containing the cooperative headquarters and PACs increases the probability of Open Membership. Additionally, cooperatives with a larger number of members and assets also have a higher likelihood of adopting Open Membership.
 Contributions of the Study: The study highlights the predominance of cooperatives with Open Membership in smaller and less developed municipalities, reinforcing the role of these cooperatives in social inclusion, reduction of inequalities, and provision of financial services and credit to the population in these locations. Moreover, the results provide valuable insights for policymakers, financial institutions, and cooperatives interested in promoting socio-economic development and equity in underserved communities by the financial system.

Nonlocal interfaces accounting for progressive damage within continuum-kinematics-inspired peridynamics

In this work, we present a modeling approach to nonlocal material interfaces in the framework of continuum-kinematics-inspired peridynamics. The nonlocal model accounts for progressive damage within a finite-thickness interface, as opposed to the more common practice of abrupt bond breakage across a zero-thickness interface. Our approach is based on an overlap of the constituents within the interface. Interfacial bonds between initially overlapping partner points are governed by a constitutive law reminiscent of a traction-separation-law. The governing equations for continuum-kinematics-inspired peridynamics in the presence of an interface are derived using a rate-variational principle. The damage formulation is established using the classical concept of internal variables. Following the notion of a standard dissipative material, thermodynamic consistency of the constitutive laws and the evolution of the internal variables is ensured. The latter results in a straightforward evaluation of a damage function. We give details about the computational implementation comprising a peridynamic discretization and a Newton–Raphson scheme. A sound approach to approximate the interface normal during deformation is presented, which allows to penalize material penetration across the interface. The proposed model is explored in a series of numerical examples, i.e., classical peeling and shearing tests, for a variety of damage functions. A key feature of our interface model are the nonlocal characteristics that are assumed to play a role especially at small scales. We, first, observe that an increasing thickness of the nonlocal interface leads to stronger interfacial bonding and less damage. Second, an increase in horizon size results in stiffer material behavior. When studying the wrinkling and delamination behavior of a compressed bilayer, it is found that an increase in interface stiffness leads to a smaller wrinkling wavelength. Moreover, delamination due to progressive damage of interfacial bonds in the post-wrinkling regime is observed, which, to the best of our knowledge, has not been studied in a nonlocal model before.

Study on the Damage Characteristics and Internal Variable Modeling of Single-Fracture Sandstone under the Coupling Effect of Freeze–Thaw and Fatigue Load

The fractured rock mass in the western cold region is affected by freezing and thawing disasters and is prone to local damage and fracture along the fissures’ ends. The fatigue damage induced by repeated frost heave and traffic loads seriously endangers the stability of cold region roadbed. This paper selects sandstone as the research object. Firstly, 20 freeze–thaw cycles were performed on fractured sandstone samples with different inclination angles of 30°, 45°, 60°, and 90°. Subsequently, triaxial compression and triaxial fatigue loading tests were conducted to explore the mechanical properties and fracture morphology evolution mechanism during the compression process of freeze–thaw fractured sandstone. Nuclear magnetic resonance technology (NMR) was used to measure the H-containing fluid inside rock pores. The microscopic damage characteristics inside the rock were analyzed from the NMR T2 relaxation spectrum signal and pore size distribution characteristics. Based on the internal variable theory of continuum mechanics, a fatigue model of freeze–thaw fractured sandstone with different inclination angles was established. The results show that sandstone strength was negatively correlated with the fracture dip angle, and the axial deformation and shear failure angle were positively correlated with the fracture dip angle. The mechanical properties of the sandstone were deteriorated by fatigue loading. When the crack angle was 90°, the fatigue failure strength of the rock sample was the lowest. The T2 spectrum distribution of the fractured sandstone mainly had three peaks and the pore size was mainly medium and small pores. There was a small leftward shift after freeze–thaw cycles and fatigue loading. The T2 spectrum area was significantly affected by fatigue loading, with the highest rate of change at a crack angle of 30°. Through the fine correspondence between the axial residual deformation and the deformation modulus, a fatigue model with different crack inclination angles was established using the axial residual deformation as the internal variable, and the rationality of the model was verified by fatigue loading tests.

Bivariate Epanechnikov-exponential distribution: statistical properties, reliability measures, and applications to computer science data

<p>One important area of statistical theory and its applications to bivariate data modeling is the construction of families of bivariate distributions with specified marginals. This motivates the proposal of a bivariate distribution employing the Farlie-Gumbel-Morgenstern (FGM) copula and Epanechnikov exponential (EP-EX) marginal distribution, denoted by EP-EX-FGM. The EP-EX distribution is a complementing distribution, not a rival, to the exponential (EX) distribution. Its simple function shape and dependence on a single scale parameter make it an ideal choice for marginals in the suggested new bivariate distribution. The statistical properties of the EP-EX-FGM model are examined, including product moments, coefficient of correlation between the internal variables, moment generating function, conditional distribution, concomitants of order statistics (OSs), mean residual life function, and vitality function. In addition, we calculated reliability and information measures including the hazard function, reversed hazard function, positive quadrant dependence feature, bivariate extropy, bivariate weighted extropy, and bivariate cumulative residual extropy. Estimating model parameters is accomplished by utilizing maximum likelihood, asymptotic confidence intervals, and Bayesian approaches. Finally, the advantage of EP-EX-FGM over the bivariate Weibull FGM distribution, bivariate EX-FGM distribution, and bivariate generalized EX-FGM distribution is illustrated using actual data sets.</p>

Interplay of a unit-speed constraint and time-delay in the flocking model with internal variables

<p>We studied the dynamics of thermodynamic Cucker–Smale (TCS) particles moving with a constant speed constraint. The TCS model describes the collective dynamics of the population of birds with a time varying internal variable, and it was first introduced as the generalization of the Cucker–Smale (CS) model. In this paper, we considered a modification of the TCS model in which each agent moves at a constant speed, such as the Vicsek model, and we additionally considered the effect of time-delays due to the finiteness of the information propagation speed between agents. Then, we presented several sufficient conditions in terms of initial data and system parameters to exhibit asymptotic flocking. We presented two kinds of results for this purpose. One was an estimate of the diameter of the velocity and temperature configuration, and the other was an estimate of the diameter of the configuration within the time-delay bound $ \tau $.</p>

A mathematical model for simulation of cardiovascular, renal, and hormonal responses to burn injury and resuscitation.

Treating extensive burn injury requires an individually tailored resuscitation protocol that includes hourly-titrated intravenous fluid infusion to avert both hypovolemic shock and edema. Due to the complexity of burn pathophysiology and significant variability in treatment protocols, there is an ongoing effort to optimize burn resuscitation. The goal of this work is to contribute to this effort by developing a mathematical model of burn pathophysiology and resuscitation for in silico testing of burn resuscitation protocols and decision-support systems. In our previous work, we developed and validated a mathematical model consisting of volume kinetics, burn-induced perturbations, and kidney function. In this work, we expanded our previous mathematical model to incorporate novel mathematical models of cardiovascular system and hormonal system (renin-angiotensin-aldosterone (RAAS) system and antidiuretic hormone) which affect blood volume and pressure regulation. We also developed a detailed mathematical model of kidney function to regulate blood volume, pressure, and sodium levels, including components for glomerular filtration rate, reabsorption rates in nephron tubules, Tubuglomerular feedback, and myogenic mechanisms. We trained and validated the expanded mathematical model using experimental data from 15 pigs and 9 sheep with extensive burns to quantitatively evaluate its prediction accuracy for hematocrit, cardiac output, mean arterial pressure, central venous pressure, serum sodium levels, and urinary output. We then trained and tested the mathematical model using a clinical dataset of 233 human burn patients with demographic data and urinary output measurements. The mathematical model could predict all tested variables very well, while internal variables and estimated parameters were consistent with the literature. To the best of our knowledge, this is the first mathematical model of burn injury and resuscitation which is extensively validated to replicate actual burn patients. Hence, this in silico platform may complement large animal pre-clinical testing of burn resuscitation protocols. Beyond its primary purpose, the mathematical model can be used as a training tool for healthcare providers delivering insight into the pathophysiology of burn shock, and offering novel mathematical models of human physiology which can be independently used for other purposes and contexts.

Investigating Students’ Behavioral Intentions towards a Smart Learning Platform Based on Machine Learning: A User Acceptance and Experience Perspective

This study investigated students’ behavioral intentions toward a smart learning platform. In order to evaluate and implement the adoption model within the context of Thai education, an empirical study was conducted. On a sample of 1,250 pupils from throughout Thailand, an analysis technique known as structural equation modeling was used to evaluate the proposed research model. Results from the study showed that the adoption of smart learning platforms by students was most significantly impacted by attitudes towards using them. This was followed by internal variables, namely the Perceived Ease of Use (PEU) and Perceived Usefulness (PU) of the platforms. In addition, Accessibility (AC), Personalization (PL), and Perceived System Quality (PSQ) are peripheral factors that increase understanding of smart learning platform adoption. The findings of this study align with other research, with the exception that only AC had a detrimental impact on PEU. Therefore, this study will provide valuable insights for scholars and researchers by filling a knowledge gap in the existing literature and demonstrating the concrete use of a proficient smart learning platform in the realm of academic success.