Hrčak - Portal of scientific journals of Croatia
Not a member yet
321498 research outputs found
Sort by
Sustaining retention in the lodging industry: The role of organizational support and self-esteem in a post-crisis landscape
No full textPurpose – This study explores the psychological mechanisms that influence employee retention in the lodging industry following the COVID-19 pandemic. Drawing on the conservation
of resources (COR) theory, the study examines how perceived organizational support (POS)
and organization-based self-esteem (OBSE) affect employees’ intention to remain both within
their organizations and the hospitality industry.
Methodology/Design/Approach – A serial multiple mediation model was tested using survey
data from hospitality employees. The model positioned OBSE and organizational retention as
mediators in the relationship between POS and industry-level retention.
Findings – The results indicate that POS significantly enhances OBSE, which in turn positively influences both organizational and industry-level retention. The findings demonstrate
that resource-based psychological factors play a critical role in shaping employees’ long-term
commitment to the hospitality sector.
Originality of the research – This study extends HR research in hospitality by integrating
OBSE as a key mediator and by distinguishing between organizational and industrial retention. It offers practical insights into post-pandemic workforce recovery strategies by emphasizing the importance of internal psychological resources
A simple UiO-66-NH2@MWCNTs based electrochemical sensor for the sensitive detection ofmetronidazole
No full textMetronidazole (MRNZ) represents a highly efficacious pharmacological agent for the treatment of protozoal infections, encompassing trichomoniasis, giardiasis, as well as disorders instigated by anaerobic bacteria. In the present investigation, a solvothermal approach is employed to synthesize a composite of multiwalled carbon nanotubes (MWCNTs-COOH) with UiO-66-NH2, resulting in the formation of UiO-66-NH2@MWCNTs. Given the exceptional electrocatalytic characteristics of the UiO-66-NH2@MWCNTs nanocomposite, it was selected as the sensing material and subsequently integrated onto the surface of a bare screen-printed carbon electrode. Under optimal experimental conditions, the developed electrochemical sensor exhibited outstanding metrics of repeatability, stability, selectivity, and reproducibility for detection across an extensive concentration range, specifically from 0.5 μM to 350.0 μM, while achieving a limit of detection of 0.1 μM. Furthermore, the practical application of the sensor was rigorously assessed using MRNZ tablet samples and urine specimens, resulting in a commendable recovery rate of MRNZ ranging from 97.3% to 104.0%. This research elucidates a straightforward, expedited, and significant methodology for the application of UiO-66-NH2@MWCNTs within the domain of electrochemical sensing
Aktualnosti iz projekta “Znanje+Kreativnost = STEM Inspiracija”: Javni poziv za iskaz interesa u sklopu projekta “Znanje + Kreativnost = STEM Inspiracija”
No full textOsvrti: Kompostabilna ambalaža iz otpadne biomase – od znanstvene ideje do industrijske primjene
No full textMulti-Target Estimation in OFDM Radar using YOLOv8 for Integrated Sensing and Communication
No full textIn this study, we propose a method for simultaneously estimating the number, velocity, and distance of multiple targets in an Orthogonal Frequency Division Multiplexing (OFDM) radar environment using YOLO (You Only Look Once). The proposed approach employs Doppler-range two-dimensional (2D) signals as the input to the YOLO model, enabling it to learn and predict target characteristics. Since YOLO performs object detection in a single forward pass, it achieves higher computational efficiency compared to conventional CNN-based methods, making it suitable for multi-target estimation tasks. To validate the performance of the proposed method, we conducted simulations under various signal-to-noise ratio (SNR) conditions ranging from –10 dB to 20 dB and considered scenarios with one to five targets. The results show that, with 32 OFDM symbols, the YOLO-based model achieved an average velocity estimation error of 1.34 km/h and an average distance estimation error of 0.71 m. These results represent improvements of 0.56 km/h and 0.89 m, respectively, over conventional CNN-based single-target estimation models, demonstrating the precision of the proposed method. Such performance indicates its potential for effective application in next-generation joint communication and sensing systems
Experimental Investigation on Material Removal Rate and Tool Wear Rate for Machining Metal Matrix Composites in EDM Process
No full textElectrical discharge machining (EDM) is one of non-traditional cutting method or manufacturing process for processing brittle and solid materials like composite materials and other difficult to machine materials. It is most usually utilized to manufacture metal matrix composites (MMCs) and is very solid materials. Aluminum based MMCs are to a large degree utilized in defense and aviation parts for their advanced and new characteristics like strength to weight ratio, high rigidity etc. The aluminum alloy 6061 and 7.5% SiC has been used as a workpiece and copper as a tool electrode, discharge current (Ip), pulse on-time (Ton), and pulse off-time (Toff) were selected as machining dependent variables for this study. The dependent variables were tool wear rate (TWR) and material removal rate (MRR). The experiments are planned using Box-Behnken design. Empirical models are developed for MRR and TWR using the analysis of variance (ANOVA) and regression models. The getted results showed that the MRR is increasing with increasing in Ip and Ton while TWR is decreasing when Ip and Ton is increase
Linking dynamic managerial capabilities and organizational agility: The role of technological innovation
No full textIn an era of rapid technological change and increasing environmental uncertainty, organizational agility has become a key driver of firm competitiveness, underscoring the importance of understanding how dynamic managerial capabilities enable agile organizational responses. The current study investigates the relationship between dynamic managerial capabilities and organizational agility, with a particular focus on the mediating role of technological innovation. It employs a quantitative approach, analyzing survey data from SMEs in Vietnam using partial least squares structural equation modeling (PLS-SEM). The findings reveal that dynamic managerial capabilities positively affect organizational agility, and that technological innovation serves as a mediator in this relationship. Managers with strong dynamic capabilities enable firms to enhance their agility through continuous technological advancements. This study contributes to the literature on dynamic managerial capabilities and innovation by empirically validating the role of managerial capabilities in fostering organizational agility through technological innovation. In practice, it provides valuable insights for business leaders on leveraging managerial capabilities and adopting technology to navigate uncertain market conditions effectively
Sustainable electrochemical sensor for green analysis of diaveridine HCl and sulphaquinoxaline Na in food and pharmaceutical samples
No full textIn veterinary medicine, diaveridine hydrochloride (DVH) is a common antiprotozoal medication, and sulfaquinoxaline sodium (SQL) is an antibacterial used to treat intestinal infections, including coccidia. They are added to poultry feed as anticoccidials and their residues might be retained in chicken tissues. Therefore, there is an urgent need for fast determination of the lowest possible DVH and SQL concentrations to guarantee food safety. This study used cyclic voltammetry and square-wave voltammetry. A sensitive electrochemical sensor was developed for fast and selective simultaneous determination of DVH and SQL in drug substances, chicken meat and pharmaceutical formulations. Copper oxide nanoparticles (CuO NPs) served as the foundation for the created tailored sensor. An excellent linearity and high correlation (0.9995 for DVH and 0.9994 for SQL) were identified in the linear responses produced for DVH and SQL utilizing CuO NPs at carbon paste electrode (CPE), which were over the range of 15.00 nM to 120.00 mM for DVH and 90.00nM to 100.00 mM for SQL. CuO NPs/CPE was used to determine residues in chicken meat as real samples, achieving outstanding recoveries due to its high sensitivity, superior repeatability, and wide linear range. The study also emphasizes the comprehensive environmental impact assessment facilitated by the synergistic application of Modified Complex GAPI (Complex MoGAPI) and AGREE tools