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PROCJENA UTJECAJA DETERMINANTI SPREMNOSTI ORGANIZACIJE NA KRIZNE SITUACIJE NA REPUTACIJU PODUZEĆA
No full textCompany reputation is of vital importance for success, where a reputational crisis represents a significant risk for survival. Therefore, the main research problem of this article is to, through primary empirical research and the use of survey questionnaires on relevant Croatian business practice respondents, assess the impact of the determinants of anticipatory reputational crisis management, more precisely the outcome of the relationship between the organization and its key stakeholders, on the preservation of both dimensions of reputation (reputation of corporate abilities and reputation of corporate social responsibility). The analysis of the theoretical model was carried out using PLS-SEM, where a direct and positive relationship among constructs was identified. Therefore, companies that want to protect their reputation should invest resources in socially responsible and PR activities, implement mechanisms for evaluating internal stakeholders’ satisfaction, and adopt practices that allow key stakeholders a higher level of transparency and involvement in the company's decision-making process.Reputacija poduzeća od vitalnog je značenja za uspjeh, pri čemu reputacijska kriza predstavlja značajan rizik za opstojnost. Stoga je glavni istraživački problem ovog rada na temelju provedenog primarnog empirijskog istraživanja primjenom anketnog upitnika na relevantnim ispitanicima iz hrvatske poslovne prakse utvrditi utjecaj primjene determinanti anticipativnog reputacijskog kriznog menadžmenta, točnije, ishoda odnosa između organizacije i ključnih dionika na očuvanje obiju dimenzija reputacije (reputacije korporativnih sposobnosti i reputacije društveno odgovornog poslovanja). Analiza teorijskog modela provedena je primjenom PLS-SEM-a te je utvrđen izravan i pozitivan odnos između konstrukata. Shodno tome, poduzeća koja žele zaštititi svoju reputaciju trebala bi investirati resurse u društveno odgovorne i PR aktivnosti, implementirati mehanizme za evaluaciju zadovoljstva internih stakeholdera, kao i usvojiti prakse koje omogućuju ključnim stakeholderima višu razinu transparentnosti i uključenosti u proces donošenja odluka poduzeća
Experimental Studies on Mechanical Characterizations of Silicon Nitride and Alumina added Al7075 Hybrid Composite for Various Engineering Applications
No full textThe present investigation is aimed at studying the influence of alumina and silicon nitride reinforcement particles in addition to the Al 7075 alloy on the hardness, wear, tensile, and impression creep behaviour. Three different composite specimens such as Al 7075 + 5 % alumina, Al 7075 + 5 % Silicon nitride, and Al 7075 + 2.5 % Silicon nitride + 2.5 % Alumina were fabricated using a stir casting process and the prepared composites were subjected to hardness, dry sliding wear test using pin on disc tribometer, tensile testing and impression creep tests. From the results, it was observed that the hardness of the Al 7075 alloy increases with the addition of both silicon nitride and alumina and Al 7075 + 2.5 % Silicon nitride + 2.5 % Alumina exhibited the maximum hardness of the composite specimens. Al 7075 + 2.5 % Silicon nitride + 2.5 % Alumina showed a 75% increase in wear resistance in comparison with the Al 7075 alloy and it also shows an improvement in creep and tensile properties
The Influence of Green Technology Innovation and Supply Chain Learning on Sustainability Performance in SMEs
No full textIncreasing attention to issues such as energy consumption, waste reduction, and resource efficiency has made the importance of sustainable performance more visible. The current research was conducted to investigate the impact of green technology innovation (GTI) and supply chain learning (SCL) on sustainability performance (SP). The study's statistical population consisted of managers of Small and medium-sized enterprises (SMEs) in Mobarakeh industrial town in Iran. The sampling method was a simple random method and 130 companies were determined by G*Power software to determine the sample size. The validity of the questionnaires was confirmed using content validity and construct validity and their reliability was obtained by Cronbach’s alpha. The data was analyzed by structural equation modelling in SMART_PLS software. The research findings showed that GTI and SCL directly and significantly affect SP. According to the obtained results, GTI and SCL can be effective in improving SP in SMEs
The Multicollinearity Effect on Machine Learning Accuracy for Leaf Chlorophyll Content Prediction of Indoor Plants
No full textVarious factors that influence chlorophyll levels in indoor plants were analysed. The input dataset consisted of 52 samples, which represent 10 distinct plant types. To non-invasively measure the chlorophyll content in plant leaves, Soil-Plant Analysis Development (SPAD) sensor was used, measuring the absorbance of specific light wavelengths, allowing for the assessment of chlorophyll concentration. The dataset was supplemented by covariates from soil electrical conductivity (EC) sensing at depths of 5 cm, 10 cm, and 15 cm, along with the multispectral Plant-O-Meter sensor. Four covariates in the model, including plant type, EC (5 cm), EC (15 cm), and normalized difference red-edge index (NDRE), showed minimal correlation with other variables, highlighting their independence. To predict leaf chlorophyll content, Random Forest and Extreme Gradient Boosting machine learning models were utilized, with Random Forest achieving higher average coefficient of determination of 0.458. The study underscored the potential of a complementary dataset for evaluating the complex relationship among root-soil dynamics and leaf for optimizing indoor plant health
Simulation Modeling of Labor Costs for Moving of Harvester between Working Positions in Cutting Area
No full textThe article discusses the technological features of the functioning of forest harvester in the implementation of logging in various natural conditions. The primary objective of this research is to ascertain the influence of trees and shrubbery on the duration of the harvester's transit between operational sites. The research was implemented by computer modeling methods based on a computer program specially created by the authors of the article to simulate the operation of a forest harvester. During the simulation, the trajectory of the manipulator from each working position of the harvester, the dimensional characteristics and location of the trees assigned to the felling and the remaining trees were evaluated. The results can be used by research organizations when planning the production process of logging operations
Tunable electrochemical properties of polyaniline/CuO/BaTiO3 nanocomposites for supercapacitor application
No full textRevolutionizing energy storage demands innovative strategies that transcend the conventional boundaries of electrode design. Here, we unveil a powerful approach that harnesses the synergistic interplay between dielectric and conductive nanophases to unlock unprecedented charge storage performance in polymeric supercapacitors. By individually synthesizing copper oxide (CuO) and barium titanate (BaTiO3) nanoparticles and strategically embedding them into a polyaniline (PANI) matrix, we engineered two finely tuned ternary nanocomposites: PCB5 (10 wt.% CuO, 5 wt.% BaTiO3) and PCB10 (5 wt.% CuO, 10 wt.% BaTiO3). Advanced structural and spectroscopic analyses (X-ray diffraction, field emission scanning electron microscopy, energy-dispersive X-ray spectroscopy, X-ray photoelectron spectroscopy, Ramanspectroscopy) confirmed the successful integration of the nanophases, while dielectric studies revealed distinct variations in dielectric constant and interfacial polarization behaviour depending on nanoparticle ratios. Among the composites, PCB5 showed the most balanced electrochemical performance, with a specific capacitance of 271.67 F g-¹, outperforming pristine PANI and its BaTiO3-rich counterpart. Electrochemical impedance spectroscopy further confirmed the low series and charge-transfer resistances of the PCB5 composite sample, reflecting its efficient ion/electron transport pathways. Furthermore, BET analysis showed an increased surface area (31.37 m² g-¹) compared to pristine PANI (24.08 m² g-¹), providing additional electroactive interfaces for charge accumulation. These findings establish, for the first time, a dielectric-conductive co-engineering paradigm in PANI nanocomposites, where carefully optimized filler ratios act as a dual-function booster of both dielectric constant and electrochemical kinetics. This extraordinary synergy paves the way for transformative next-generation high-energy, high-power supercapacitors with tunable multifunctionality
Growth of a W/TiN-bilayer coating: an alternative to diffusion barrier keeping the hard coating condition of the system
No full textAn evaluation of the improvement provided by a W thin film, when incorporated into a TiN bilayer coating system on 304 stainless steel, is reported after determining its electrochemical behaviour and mechanical properties. The TiN-bilayer and W/TiN-bilayer coatings were prepared by balanced magnetron sputtering. Coating structure, morphology, interphase, and chemical composition were determined by scanning electron microscopy, Auger electron spectroscopy and X-ray diffraction. Mechanical properties were determined by the nanoindentation technique. The electrochemical behavior was investigated by electrochemical impedance spectroscopy (EIS) using 6 wt.% NaCl solution as electrolyte. The electrochemical results showed an increase in overall corrosion resistance (Rp) when the W thin film is incorporated into the TiN-bilayer coating system. The Rp for the initial measurement is 187.6 and 347.9 kΩ cm2 for the TiN-bilayer coating system and W/TiN-bilayer coating system, respectively. The results obtained from the EIS study over time indicate that the Rp after 7 weeks of immersion are 53.2 and 119.8 kΩ cm2 for the TiN-bilayer coating system and W/TiN-bilayer coating system, respectively. Nanoindentation hardness measurements showed a slight difference between the two coating systems. The TiN-bilayer hardness showed a value of approximately 24GPa, while the W/TiN-bilayer hardness showed a value of approximately 22 GPa. Considering other beneficial properties associated with W, the results showed that a W/TiN-bilayer coating system can be used as an alternative hard and protective coating system on steel substrates to mitigate corrosion damage
Iron-rich industrial sludge-derived metal organic framework for enhanced photoelectrochemical degradation of methylene blue
No full textThe escalating discharge of textile effluents, burdened with persistent dyes such as methylene blue (MB), has become a significant global concern. In this study, a surface-engineered iron sludge, denoted as IMS-MOF, was synthesized by modifying iron-rich industrial metal sludge (IMS) to enhance its performance in photoelectrochemical degradation of MB. The IMS-MOF was synthesized via a hydrothermal method, utilizing IMS as the metal ion source and 1,3,5-tricarboxylic acid (BTC) as ligand. Characterization results revealed that IMS-MOF exhibited an increase in surface area (50.34 m² g-1), and porosity (0.27 cm³ g-1) compared to IMS (36.56 m² g-1, 0.19 cm³ g-1). Additionally, the MOF process induced a morphological transition from densely agglomerated particles with rough surface features to well-defined, rod-shaped crystalline structures, characteristic of metal-organic frameworks, thereby significantly enhancing the specific surface area and active site accessibility. This structural rearrangement led to a significant increase in the specific surface area and facilitated enhanced access to the active sites within the framework. The band gap reduction in IMS-MOF enhanced its photocatalytic activity under UV light irradiation. Photoelectrochemical degradation studies showed that IMS-MOF achieved higher MB removal efficiency than IMS, with over 90 % MB degradation within a specific contact time. The adsorbent exhibits good adsorption performance over a broad pH range (5-11). By scavenging tests of free radicals generated, hydroxy radicals (·OH) and superoxide radicals (·O2-) were indicated as the reactive oxygen species in the photoelectrochemical degradation. Although IMS-MOF showed a 15.1 % decrease after 10 cycles, it still possessed reusability and stability, indicating that it is qualified for textile wastewater treatment in practice
Electrochemical assessment of α-amylase inhibition by type 2 diabetes drugs: a cyclic voltammetry study
No full textA new sensitive cyclic voltammetry method was developed for measuring the α-amylase inhibitory activity of six antidiabetic drugs commonly prescribed for type 2 diabetes: acarbose, amaryl, repaglinide, diamecron, dapagliflozin, and metformin. The electrochemical response of an enzyme-starch mixture was measured in the absence and presence of these drugs. Results indicated varying inhibitory potencies with IC50 values ranging from 6.770 to 41.423µM, with acarbose as the most potent. UV-Vis absorption spectroscopy at 580 nm validated the cyclic voltammetry results, with very good concordance. This study highlights the utility of electrochemical assays for the rapid, quantitative screening of α-amylase inhibitors and supports their integration with spectroscopic methods for the evaluation of antidiabetic drugs
The Use of Neural Networks to Predict Frequency of Road Accidents in Poland and Slovenia
No full textDespite a general decline in recent years, road accidents are still a major problem worldwide, including in Poland and Slovenia. Even if there is no denying that the COVID-19 epidemic has had an impact on accident rates, the statistics nonetheless show that urgent action is required to further lower their frequency. The purpose of this study is to project how many traffic accidents will occur in Slovenia and Poland between 2024 and 2030. This was accomplished by analysing historical data on yearly accident incidence from Eurostat and the Polish Police. To create the predicted numbers, certain neural network models were used, utilising these datasets. The results indicate that the number of road accidents is likely to stabilise soon. This forecast is influenced by a number of factors, including the continued increase in car ownership and the ongoing development of road infrastructure, including the construction of new motorways and roads. It is important to remember that the accuracy of the forecast is susceptible to inherent limitations due to the random sampling of the data used to test, validate and train the models