The adoption of supply chain management (SCM) is pivotal in boosting organizational competitiveness and performance. This study examines the relationships among SCM, firm value, company performance, and competitive advantage within the context of micro, small, and medium enterprises (MSMEs) in Surabaya, East Java, Indonesia. Employing a quantitative approach, we analyzed data collected from a sample of 100 MSMEs using SmartPLS to test various hypotheses. The findings indicate that effective SCM significantly influences a firm’s value, performance, and competitive advantage. This study supports the mediating role of firm value by showcasing its robust influence on the relationship between SCM and competitive advantage. However, the mediating role of company performance on competitive advantage appears weaker. The discussion integrates relevant literature, highlighting the pivotal role of SCM strategies in enhancing productivity, fulfilling customer desires, and increasing competitiveness. This study also underscores the critical link between financial performance, value creation, and competitive advantage. Overall, this study contributes to the ongoing development of practical SCM knowledge by providing valuable insights for MSMEs seeking to navigate the challenges of an evolving business landscape.

In the present investigation, a library of 1,8-dioxo-octahydroxanthene derivatives have been synthesised by the cyclo-condensation reaction of aryl aldehyde with two moles of dimedone under solvent free condition in the presence of Novel Pumice supported perchloric acid (Pumice@HClO4) as a less expensive, recyclable, thermodynamically stable and non-toxic catalyst. The significant advantages of this novel protocol are experimental simplicity, easy work-up procedure, good to excellent yields of product and more sustainable as the efficiency of the readily available catalytic material.

New hybrids containing acridine and α-amino phosphonate scaffolds 6a-h were synthesized by three one-pot reactions via Kabachnik–Fields reaction of 9-aminoacridine derivatives 3a-d, aldehydes 4a,b and triphenyl phosphite 5 in equimolar ratio under stirring at room temperature. The installation of the afforded hybrids was affirmed by different spectroscopic methods as IR, 1HNMR, 13CNMR, 31P NMR, MS and elemental analysis. The antibacterial activities of hybrids 6a-h were screened against both Gram-positive and Gram-negative bacteria of four pathogenic strains, comparable to ampicillin and chloramphenicol drugs. Most hybrids showed higher activity compared to the reference drugs. Notably, the antibacterial performance of 6c was more substantial than other analogues with best minimum inhibitory concentration (MIC) and highest zone of inhibition (ZOI) of 31, 34, 35, 38 mm, against Serratia marcescens, Streptococcus mutans, MRSA and Klebsiella pneumoniae clinical isolates respectively. In addition, Transmission Electron Microscopes (TEM) was carried out to study the mode of action of 6c with MRSA, the results confirmed that the titled hybrid caused the disruption of bacterial cell wall. Moreover, the time-dependent kill study revealed that the investigated compounds were time and dose-effective bactericidal agents and could be used as potential leads for further development and optimization of novel antibacterial agents.

This document presents a simulation-based method for the polyhedra packing problem (PPP). This problem refers to packing a set of irregular polyhedra (convex and concave) into a cuboid with the objective of minimizing the cuboid’s volume, considering non-overlapping and containment constraints. The PPP has applications in additive manufacturing and packing situations where volume is at a premium. The proposed approach uses Unity® as the simulation environment and considers nine intensification and two diversification movements. The intensification movements induce the items within the cuboid to form packing patterns allowing the cuboid to decrease its size with the help of gravity-like accelerations. On the other hand, the diversification movements are classic transition operators such as removal and filling of pieces and enlargement of the container, which allow searching on different solution neighborhoods. All simulated movements were hybridized with a probabilistic tabu search. The proposed methodology (with and without the hybridization) was compared by benchmarking with all previous works solving the PPP with irregular items. Results show that satisfactory solutions were reached in a short time; even a few published results were improved.

The objective of this research is to investigate the impact of Artificial Intelligence (AI) on improving the quality of financial reporting in the Islamic banking industry. The study is conducted within the theoretical framework of the Unified Theory of Acceptance and Use of Technology (UTAUT). The study utilized Partial Least Squares Structural Equation Modelling (PLS-SEM) to examine the data collected from a sample of 364 professionals working in the field of Islamic banking. The results of our study suggest that Performance Expectancy, Effort Expectancy, and Social Influence are important factors in predicting individuals' Behavioural Intention to use Artificial Intelligence (AI). Additionally, the presence of Facilitating Conditions further enhances the impact of these factors on individuals' actual Use Behaviour. Significantly, it was shown that Use Behaviour played a significant role in determining the perceived quality of financial reporting. Nevertheless, the study did not find empirical evidence to demonstrate the direct influence of Behavioural Intention on Financial Reporting Quality. This implies that the actual implementation of Artificial Intelligence is required to fully realize its advantages. The use of artificial intelligence (AI) into governance frameworks presents a potentially advantageous pathway for Islamic banks to uphold Shariah principles, while concurrently bolstering accountability and fostering ethical banking practices.

This research aims to analyze the relationship between compensation and supply chain performance and to analyze the relationship between organizational support and supply chain performance at the immigration office. The research method uses a quantitative associative survey method. The analysis used in this research is partial least squares-structural equation modeling (PLS-SEM). The population of this study were senior employees of government organization or immigration offices in Indonesia and the research respondents were 467 senior employees who were selected using a simple random sampling method. Research data was obtained by distributing online questionnaires via social media. The online questionnaire contains statement items and is designed using a 7 Likert scale. The Likert scale used in this research is (1) strongly disagree, (2) disagree, (3) quite disagree, (4) Neutral, (5) quite agree, (6) agree, (7) strongly agree. Data processing uses SmartPLS 4.0 software, and the data analysis stages are testing the outer model and inner model, testing the inner model by carrying out validity tests, reliability tests while the inner model tests hypothesis or significance tests. The results of this research are that compensation has a positive and significant relationship to supply chain performance at the immigration office and organizational Support has a positive and significant relationship to supply chain performance at the immigration office. By implementing a fair and good compensation system, it will encourage supply chains to improve their performance. Supply chains will try to improve their performance because the better their performance, the supply chain will receive better compensation. Work motivation has a positive and significant effect on supply chain performance. Organizational support is very important for supply chain behavior. The organization has an obligation to develop a climate that supports consumer orientation.

The present paper proposed the tri-potassium phosphate catalyzed synthesis of some novel series of Schiff bases (3a to 3l) derived from 2-aminopyridine using microwave technique. All synthesized Schiff bases were confirmed by different spectroscopic methods. Further all synthesized imines have been evaluated to screen for antimicrobial, antioxidant and anti-inflammatory activity. The compound 3c displays potent anti-inflammatory activity with 42.307%±1.322 inhibition of inflammation. The antioxidant activity data revealed that all synthesized Schiff bases exhibit potency to scavenge DPPH and nitric oxide radicals. Antimicrobial properties of these compounds showed moderate to excellent growth of inhibitory activity against various tested pathogens. Our observations and examination for pharmacological study towards the presence of active pharmacological functional groups present in the main structural nucleus of synthesized imines. Therefore, present study may lead to the development of a new class of anti-inflammatory and antioxidant drugs with structural modification.

The economy of Bali heavily relies on the tourism sector, leading to economic vulnerability. There are numerous challenges in Bali's economy, with COVID-19 being one of the most prominent examples. During the COVID-19 pandemic, Bali's economy experienced the deepest contraction and slowest recovery compared to other provinces in Indonesia. Amid this economic vulnerability, it is important to conduct research on the financial resilience of SMEs in Bali. This research aims to analyze the influence of financial literacy on financial resilience, as well as the mediating role of financial performance and fintech adoption on the impact of financial literacy on financial resilience among SMEs in Bali. The research method used is a quantitative approach with a sample of 177 SMEs in Bali, selected through non-probability sampling techniques. Data were analyzed using descriptive and inferential statistics, with SEM-PLS in SmartPLS 3.0 program. The test results indicate that financial literacy has a positive and significant influence on financial resilience, financial performance, and fintech adoption. Financial performance and fintech adoption also have a positive and significant impact on financial resilience. Furthermore, financial performance and fintech adoption can partially mediate the influence of financial literacy on financial resilience in SMEs in Bali. The findings of this research are beneficial for the development of Knowledge-Based View theory and Technology Acceptance Model, as well as for SMEs in Bali and the government as policy makers in efforts to enhance financial resilience.

It is argued that managers took advantage of Covid-19 pandemic lockdowns and remote auditing and used earnings management (EM) practices extensively. Furthermore, the Covid-19 pandemic created new unsearched crisis-related incentives. This study, therefore, tests whether Covid-19 created a new incentive for managers to manipulate earnings. It also examines the association between corporate social responsibility (CSR) and board independence and EM during Covid-19. A data set of 384 firm-year observations from 2018 to 2021 of non-financial firms listed on the Amman Stock Exchange (ASE) was investigated. Results indicate that Jordanian firms engaged in EM during Covid-19 considerably more than when compared to pre-Covid-19, suggesting that Covid-19 created a new incentive for managers to manipulate earnings. Furthermore, Jordanian firms used income-increasing EM much more when compared to income-decreasing EM. However, when taking Covid-19 into account, no significant association was found between board independence and EM. In addition, the ability of CSR to constrain EM decreased. This adds to the current debate in the literature that even well-established monitoring mechanisms like board independence and CSR are unable to constrain EM practices in a unique business environment caused by Covid-19.

A series of new pyrrole-coupled carboxamide derivatives had been synthesized and amply characterized by various techniques, viz FTIR, 1H-NMR, 13C-NMR, and LCMS. All these compounds had undergone evaluation for their PASS, BBB, pharmacophore model, ADME, and bioactive score. The antibacterial properties of all the derivatives were examined and compound 5i demonstrated strong antibacterial activity against MRSA. A membrane damage investigation supported by SEM pictures, cellular content leakage, potassium efflux, and bacterial respiration suppression showed that compound 5i had anti-MRSA properties. A good binding score of -9.11 was found for compound 5i against the MRSA protein 6FTB in an in silico molecular docking analysis, compared to a score of -10.25 for streptomycin. Based on these findings, compound 5i can be further studied in order to develop it as a drug to treat MRSA infections.