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PurposeIn this paper, the impact of supply chain (SC) analytics on SC performance, SC ambidexterity and SC transparency in textile sector enterprises will be experimentally evaluated. Its goal is to investigate how SC transparency and ambidexterity could act as mediators.Design/methodology/approachData were acquired from 233 respondents who work in administrative positions for textile enterprises. Amos software was utilized in conjunction with the Structural Equation Modeling (CB-SEM) approach to evaluate the proposed formulated hypotheses using the deductive method. A convenience sampling method was used.FindingsThe findings demonstrate that SC analytics enhances SC performance, ambidexterity and transparency. They also attest to the positive indirect benefits that SC transparency and ambidexterity have on performance.Originality/valueThis research extends the usage of the resource-based view to investigate the previous effects of SC ambidexterity, SC transparency and SC performance using SC analytics. This paper offered a notable theoretical and management addition to the SC literature, filled in research gaps, and built a fresh theoretical and empirical model.
Chemically ordered quaternary MAX phases offer a route to tailor stiffness, anisotropy, and transport in layered carbides. Using all-electron FP-LAPW DFT (GGA-PBE), we investigate V2ZrSiC2 and Ti2ZrSiC2 in alpha- and beta-stacking variants. EOS fits show strong stacking sensitivity: alpha polytypes are stiffer (bulk moduli similar to 216 GPa for V2ZrSiC2 and similar to 192 GPa for Ti2ZrSiC2) than beta polytypes (similar to 178 and similar to 157 GPa). Elastic constants satisfy the Born criteria, and VRH averages indicate higher shear/tensile rigidity and hardness for Ti2ZrSiC2 (G approximate to 136 GPa, E approximate to 328 GPa, and HV approximate to 21 GPa) than that for V2ZrSiC2 (G approximate to 121 GPa, E approximate to 305 GPa, and HV approximate to 14 GPa), while V2ZrSiC2 retains higher incompressibility (B approximate to 214 GPa). Both phases are metallic with transition-metal d states dominating near EF, and phonon dispersions show no imaginary modes along the sampled path. Quasi-harmonic Debye-Gr & uuml;neisen results yield Theta D similar to 669 K (V2ZrSiC2) and similar to 726 K (Ti2ZrSiC2); Slack-type estimates give kph similar to 10-11 W m-1 K-1 at 300 K with an approximate 1/T decrease. The computed linear CTE at 1300 K (alpha L approximate to 0.95 and 1.06 & times; 10-5 K-1) lies between those of representative alpha-Al2O3 and YSZ, suggesting screening-level thermo-expansion compatibility for coating-stack layers. Energies above the convex hull are Delta Ehull similar to 0.10-0.19 eV per atom, indicating metastability at T = 0 K with respect to competing phases and motivating further synthesis-focused thermodynamic analysis alongside oxidation and interface-stability assessment.
Purpose This study examines the relationship between environmental, social and governance (ESG) performance and corporate cash holdings in EU-listed firms, along with the moderating role of board gender diversity. It goes beyond prior studies by jointly modeling ESG–liquidity dynamics and board diversity within a unified theoretical framework, using one of the largest multi-country EU datasets post-CSRD implementation. Design/methodology/approach Using regression analysis and mixed-effects (REML) regression models, the study analyzes 4,365 firm-year observations from 14 EU countries. Findings Firms with higher ESG scores hold larger cash reserves, and gender-diverse boards amplify this relationship, supporting agency and stakeholder theories. The resource-based view is extended, showing gender diversity enhances board capabilities for liquidity strategies. Contrary to some literature, ESG does not deplete liquidity in the EU's regulatory context. Research limitations/implications Reliance on self-reported ESG scores may introduce subjectivity, and the EU focus limits generalizability. Future research could explore non-European markets or alternative governance and liquidity proxies. Practical implications Firms need to integrate ESG and gender equality into their governance in order to support financial resilience. Policymakers need to support ESG disclosure and diversity policies, and investment managers need to use factors to evaluate prudence in finance, while corporate leaders can use board diversity as a governance lever to strengthen liquidity buffers without compromising sustainability commitments. Originality/value The originality of this study lies in its integrated analysis of ESG performance and corporate cash-holding behavior under the moderating influence of board gender diversity, a perspective rarely examined in EU settings after CSRD enforcement. It advances agency, stakeholder and resource-based theories by showing how inclusive governance transforms ESG practices into financial resilience.
Introduction. The widespread adoption of artificial intelligence (AI) models for automatic content creation highlights the need to develop appropriate approaches to address the ethical issues associated with this technology and to minimise the risks of its misuse. Aim. The aim of this study is to quantify and analyse the extent to which AI tools are implemented in research activities, as well as to assess their impact on research performance, with consideration of ethical aspects. Methodology and research methods. A descriptive correlational method was employed in this study. Empirical data were collected using a random sample of undergraduates from the University of Jordan (n = 511). Results. A statistically significant positive relationship was identified between the use of AI in research, the outcomes produced, and adherence to research ethics. It was found that artificial intelligence has a significant positive impact on enhancing the quality of scientific research. The key components of scientific ethics – fairness, confidentiality, and responsibility – are analysed, and their role in interactions with AI systems is examined. Scientific novelty. The study offers new insights into the direct and indirect effects of artificial intelligence on scientific research outcomes. Practical significance. The results of the study can be utilised in the development and formalisation of ethical standards for managing the application of AI in science, aiming to adapt to evolving academic practices and enhance the quality of research.
To examine the impact of the Gans repositioning maneuver (GRM) on patients with posterior canal BPPV (PC-BPPV) and to determine the quality of the studies. “PubMed, CINAHL, Scopus, PEDro, REHABDATA, Web of Science, and EMBASE” were systematically searched from inception to November 2025. Experimental studies involving patients with PC-BPPV who were administered the GRM, compared with active, passive, or no treatment, and examined PC-BPPV symptoms, were included in this review. The quality of the included studies was assessed using the “Physiotherapy Evidence Database (PEDro).” A total of eleven studies met the inclusion criteria. A total of 1183 patients with PC-BPPV (mean age: 54.9 years; females: 59
