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A Predictive Framework for Sustainable Human Resource Management Using tNPS-Driven Machine Learning Models
No full textThis study proposes a predictive framework that integrates machine learning techniques with Transactional Net Promoter Score (tNPS) data to enhance sustainable Human Resource management. A synthetically generated dataset, simulating real-world employee feedback across divisions and departments, was used to classify employee performance and engagement levels. Six machine learning models such as XGBoost, TabNet, Random Forest, Support Vector Machines, K-Nearest Neighbors, and Neural Architecture Search were applied to predict high-performing and at-risk employees. XGBoost achieved the highest accuracy and robustness across key performance metrics, including precision, recall, and F1-score. The findings demonstrate the potential of combining real-time sentiment data with predictive analytics to support proactive HR strategies. By enabling early intervention, data-driven workforce planning, and continuous performance monitoring, the proposed framework contributes to long-term employee satisfaction, talent retention, and organizational resilience, aligning with sustainable development goals in human capital management
Built-in self-scaling method for kernel-based estimation in the presence of nonlinear distortion
No full textThis paper proposes the use of perturbation signals with harmonic suppression in combination with prior steady-state gain for impulse response estimation of linear systems corrupted with nonlinear distortion. The proposed method allows the effects of nonlinear distortion on the linear estimate to be eliminated or reduced and enables the prior information to be incorporated into the estimation by a direct extension of the standard kernel-based (KB) formulation into the built-in self-scaling (BS) method. Theoretical derivation proves that the BS method can preserve the property of harmonic suppression in perturbation signals. The bias and variance in the impulse response estimate are derived theoretically and analyzed in detail. The findings confirmed that the proposed approach leads to high estimation accuracy and low uncertainty, without increasing computational complexity or measurement time. Furthermore, the method can readily extend to multi-input multi-output systems. The feasibility of the proposed technique is illustrated through a real experiment on an electronic nose, where the response is important in the food industry process automation for increasing both efficiency and reliability of distinguishing volatile compounds. The proposed approach was shown to be superior to both the standard KB estimation and a competing method utilizing information on the prior steady-state gain
Convergence dynamics of urban and rural electricity access rates across African countries
No full textThe objective of this study is to analyse the convergence of national electricity access rates in 51 African countries from 2000 to 2022. Moreover, we also assessed the convergence of urban and rural electricity access rates in Africa. The results reveal evidence for stochastic convergence of electricity access rates. The results also support the incidence of beta convergence and show that national output, population, and institutional quality facilitate the incidence of beta convergence of the electricity series. Sigma convergence analysis results also suggest the existence of convergence of electricity access rates
Exploring loneliness and social media addiction: Key drivers of phubbing behaviour
No full textIn an age where digital communication dominates, smartphones have transformed human interaction, blurring the lines between personal and professional lives and creating a paradox; while technology fosters connectivity, it may also diminish authentic human interactions. This has contributed to the rise of phubbing (phone snubbing), a problematic behaviour with adverse psychological and social consequences. This research explores the relationships between loneliness, social media addiction, and phubbing behaviour among young adults in Malaysia, utilising the Compensatory Internet Use Theory. A quantitative approach was employed, using an online survey questionnaire to gather data from 80 Malaysian respondents aged 18 to 40 with active social media accounts. Data analysis using SmartPLS 4 reveals significant negative relationships between both loneliness (path coefficient = –0.35, p = 0.007) and social media addiction (path coefficient = –0.313, p = 0.003) and phubbing. These findings suggest that higher levels of loneliness and social media addiction are associated with lower levels of phubbing, potentially due to lonely individuals prioritising direct social interactions and those with social media addiction withdrawing from social settings. The research offers insights into these complex relationships and emphasises the need for further investigation to inform interventions aimed at promoting healthier digital habits. © SEARCH Journal 2025
Islamic Feminism in Response to the Western Misogyny, and Women Rights in the Islamic context
No full textThis study explores the complex interaction between Islamic feminism and Western feminism, focusing on how Islamic feminism addresses claims of gender oppression in Muslim societies and challenges Western feminist critiques. It also investigates the rights Islam grants to women and the misconceptions surrounding these rights in Western discourse
Single Optical Fiber With Dual FBG Sensors: Simplifying 2-DOF Force Sensing in Minimally Invasive Surgery
No full textThis study introduces a novel 2-DOF force sensing technique utilizing fiber Bragg grating (FBG) sensors, designed for constrained environment in minimally invasive surgeries (MISs). Addressing the limitations of traditional designs that require multiple fibers to measure axial force, lateral force, and temperature, this innovative approach uses a single optical fiber with two FBG sensors. By leveraging structural asymmetry and coating variations, the device achieves high sensitivity and decoupled measurements of these parameters, simplifying complexity and enhancing efficiency. Simulation results validate the design, showing independent detection of temperature with a resolution of 0.025 ∘ C and force components with <1 gF in axial and <0.1 gF in lateral directions. This advancement promises to improve precision, safety, and efficacy in medical procedures, particularly under constraints of space and resources
The Influence of Celebrity Reputation Attributes and Promotional Communication on Consumer Purchase Behaviour in Fashion Industry
No full textIn the dynamic and competitive landscape, the use of celebrity endorsements has been a prominent strategy among the fashion retailers. Celebrity endorsements are seen as symbolic cues and play a significant role in influencing consumers buying decisions on fashion products. This research seeks to study the impact of celebrity reputation attributes (communication skills, influence, authenticity, expertise) and promotional communication on the consumer purchase behaviour of fashion products. The stimulus-response (S-R) model was used to guide the study. An online survey was conducted via Google Forms, and 250 valid responses from respondents who met the criteria were collected. The study employed Partial Least Squares Structural Equation Modeling (PLS-SEM) to test the hypotheses and the findings indicated the authenticity of the celebrity reputation attribute is the most significant predictor that influences consumer purchase behaviour, followed by expertise. However, communication skills and celebrity influence were found to have no significant impact on purchase behavior. In addition, promotional communication was found to positively influence the purchase behaviour of fashion consumers. This study contributes to marketing communication scholarship by examining celebrity reputation elements, offering a unique perspective compared to the commonly studied attributes derived from the source credibility framework. The study urges fashion retailers to carefully select celebrities based on their reputation to avoid negative publicity or word-of-mouth that could harm the brand and threaten business sustainability
The Primacy of Convenience in E-Wallet Adoption: A Quantitative Study of South Malaysian Consumers
No full textThis study examines the factors influencing e-wallet adoption among consumers in South Malaysia, focusing specifically on convenience, security, and consumer satisfaction. Drawing on the Technology Acceptance Model (TAM), we hypothesized positive relationships between these three factors and e-wallet adoption. Using quantitative methodology, we collected data from 208 e-wallet users across different age groups and regions in South Malaysia through an online questionnaire. Multiple regression analysis revealed that convenience significantly influenced e-wallet adoption (β = 0.537, p < 0.001), while security (β = 0.081, p = 0.180) and consumer satisfaction (β = 0.109, p = 0.133) did not have significant effects. The regression model explained 73.1% of the variance in e-wallet adoption. These findings suggest that South Malaysian consumers prioritize convenience in their e-wallet adoption decisions, with factors like transaction speed, ease of use, and accessibility being more influential than security features or overall satisfaction with the service. The study contributes to the understanding of regional e-wallet adoption patterns and offers practical implications for e-wallet service providers and financial institutions seeking to increase adoption rates in South Malaysia. Limitations include the cross-sectional nature of the data and the convenience sampling method, suggesting opportunities for future longitudinal and mixed-method research approaches
A students’ behaviors in information security: Extension of Protection Motivation Theory (PMT)
No full textThis study investigates information security behaviors among university students, focusing on the interplay of psychological and social factors influencing their behavioral intentions and actions. By integrating the Theory of Planned Behavior, Protection Motivation Theory, and General Deterrence Theory, the research offers a comprehensive understanding of factors such as self-efficacy, perceived risk vulnerability, response cost, and response efficacy. Utilizing structural equation modeling (SEM) and Necessary Condition Analysis (NCA), the study assesses the impact of these factors on students’ information security practices. Measurement items were developed based on recent empirical studies, ensuring relevance to the contemporary digital environment. The findings reveal significant associations between these factors and students’ security behaviors, providing insights into effective strategies for promoting information security awareness and practices. This research contributes to the academic discourse on digital security behaviors and offers practical implications for enhancing information security measures within university settings
Influence of Sn4+ substitution on the Ba(Zn1/3Nb2/3)1-xSnxO3 (0 ≤ x ≤ 1) perovskites: Doping mechanism, structural and dielectric properties
No full textHerein, we investigated the chemically modified Ba(Zn1/3Nb2/3)1-xSnxO3 (0 ≤ x ≤ 1) perovskites synthesised by solid-state reaction from the perspectives of doping mechanisms, microstructural and dielectric properties. The Rietveld refinement analysis affirmed that these perovskites possess a cubic structure with a space group of Pm
m. The polyhedral grains ranged from 225 to 88 nm, exhibiting a gradual decrease due to increasing Sn4+ concentration. Meanwhile, the chemical stoichiometry and oxidation states of the constituent elements were validated by the elemental analyses using ICP-OES, EDS and XPS, respectively. The FT-IR spectra displayed a slight blue shift related to the NbO6 octahedra; whilst, the Raman spectroscopy confirmed a vibration of SnO6 octahedra. A strong correlation was observed between the dielectric properties and various factors including pellet density, polarisation per molar volume, packing fraction and bond valence sum. Notably, the impedance study revealed the behaviours of negative temperature coefficient of resistance (NTCR) and non-Debye relaxation in these perovskites. The AC conductivity was also found to follow a conduction barrier hopping (CBH) model over the temperature range of 500–700 °C, suggesting that the charge carrier could be attributed to double ionised oxygen vacancies (
) in the host structure