The role of information technology (IT) during the Covid 19 pandemic has made everything in business easy. The role of technology in business during a pandemic also makes it easier for entrepreneurs to navigate buying and selling activities and services. Technology makes it easy to shorten time saving business costs, as in business financial records that make one financial report must record everything manually with technology done automatically with the help of accounting software. Research purposes to test resources-based view theory in relation to the implementation of IT to produce operational performance and financial performance of small and medium enterprises (SMEs). The research was conducted on SMEs in Bali. The research method used to answer the research objectives uses a quantitative test approach Partial Least Square. Based on data analysis, it was found that the development of SME IT Adoption had an effect positive on IT Assimilation, but directly IT Adoption is not able to improve operational performance and financial performance. IT assimilation can improve the operational performance and financial performance of SMEs. Operational performance is not able to mediate the effect of IT adoption on the financial performance of SMEs. IT assimilation is a fully mediating variable in the relationship between IT and the operational performance and financial performance of SMEs in Bali. The results of the study show that IT resource management through a technology-based business competency model can succeed in realizing Organizational Capability that can be used to build business competitiveness if the organization or business unit that adopts it pre-determines IT integration in accordance with the vision, mission, and goals of the organization. This is very important to implement in an effort to adapt to uncertain business world conditions, such as when Covid 19 occurred.

This study investigated the impact of corporate financial strategies-(CFSs) on the performance of companies listed on the Shanghai Stock Exchange-(SSE) from 2010-2023, analyzing data from 2,269 firms, yielding 31,766 balanced firm-year observations. Utilizing a mixed-methods approach with a quasi-experimental design grounded in pragmatism, the inquiry employed two-step System-GMM technique to address endogeneity, simultaneity, heteroscedasticity, reverse causality and Nickell bias. Fixed effects-(FE) and random effects-(RE) models were applied to handle unobserved heterogeneity, omitted variable bias and guarantee robustness. The results revealed that, total-debt-to-assets-ratio-(TDTAR) and dividend yield-(DY) significantly and negatively impacted firm performance-(FP), measured by return on assets-(ROA) and Tobin’s Q-(TQ). Contrary, cash conversion cycle-(CCC), current ratio-(CR), total-assets-turnover-(TAT), tangibility-(TANG), total-equity-to-total-assets ratio-(TETAR), dividend payout ratio-(DPR), firm size-(SIZE), and firm age-(AGE) had a significantly positive effect on FP-(ROA and TQ). The study emphasizes the importance of effective CFSs in improving FP and offers insights for policymakers, investors, and managers, highlighting the need for corporate deleveraging, capital structure optimization and efficient asset and working capital management. Although focused on China, the study’s framework is applicable to other emerging markets, providing valuable theoretical, conceptual, and methodological insights as it integrates CFS metrics into the resource-based view theory-(RBVT), extending the theory’s scope making it more robust and generalizable.

The objective of this study was to examine the role of Industry 4.0 in the sustainable supply chain (SSC). The relationship between Industry 4.0, data storage, data assessment, performance evaluation, data inquiry and SSC were examined. To achieve the study objective, the mediation effect of data storage, data assessment, performance evaluation and data inquiry between Industry 4.0 and SSC was examined. Employees of textile companies were selected for data collection in Indonesia. Results of the study highlighted that Industry 4.0 had a significant positive effect on SSC. Better implementation of Industry 4.0 showed a positive effect on SSC. In addition to this, Industry 4.0 had a positive effect on data storage, data assessment, performance evaluation and data inquiry. Finally, data storage, data assessment, performance evaluation and data inquiry had a positive effect on SSC.

One of the most significant parameters which should be considered by all engineers is improving structures’ strength subjected to lateral load. Steel shear wall whose duty is to affect lateral load (wind and earthquake) is a wall which consists of shear part. Application of low yield point (LYP) steel in shear walls allows the employment of moderate and/or stocky infill plates with low yielding and high buckling capacities, which can result in enhanced buckling stability, serviceability, and energy dissipation capacity of such systems. Infill LYP plate is used to improve shear wall behavior which leads to enhancement of stiffness. In the present research, infill plate with spherical appendages is applied, and its impact on plate stiffness, cyclic behavior and energy absorption are investigated. The spherical diameter has been chosen respectively 10 and 20 cm distributed with two patterns (diagonal and plus form). The best performance is for a LYP plate with a 10 cm spherical diagonal pattern.

Field experiments were carried out at Shandaweel Agricultural Research Station, Sohag, Egypt to study the effects of deficit irrigation and harvesting date chemical composition of three sugar beet varieties. A split block design with three replications was used. Main blokes were assigned to three irrigation water regimes (100%, 85%, and 70% of water requirement). The sub blot was occupied by three harvesting dates (180, 195 and 210 days). Sub- sub plots comprised three sugar beet varieties namely (RAVEL, SV1841and SA1686). Results indicated that reducing water supply reduced alpha - amino N present in the second season, Na present in the second season, and K present and sugar lost to molasses, but increased sucrose present, extractable present, QZ present, purity present, extractability present. Increasing harvesting date increased K present, sucrose present, extractable present, QZ present, purity present, extractability present but reduced alpha - amino N present, Na present and sugar lost to molasses in the second season. Sucrose present, extractable present, QZ present purity present and extractability present of RAVEL and SA1686 varieties were almost comparable but higher than those of SV1841 variety.

In this work, the possibility of cross-border activities between two regions in the framework of the investment contract is viewed as optimal allocation problems. The problems of determining the optimal proportion of funds to be invested in liquidity and technology are analyzed in two different environments. In the first case, we consider a two-region and two-technology economy in which both regions possess the same productive technology or project, but a different stream of return. While in the second case, we examine an economy where two regions (i.e., Indonesia and Malaysia) hold different Islamic productive projects with identical returns. Allocation models are formulated in terms of investors’ expected utility maximization problem under budget constraints with respect to regional and sectoral shocks. It is revealed that optimal parameters for liquidity ratio, technological investment profile, and bank repayment are analytically characterized by the return of a more productive project and the proportion of impatient and patient investors in the region. Even though both cases employ different assumptions, they provide the same expressions of optimal parameters. The model suggests that cross-border Islamic investment activities between two regions might be realized, provided both regions hold productive projects with an identical stream of return. This paper also shows that by increasing the lower return of the project approaching the higher return, a room for inter-region investment can be created. An analytical framework of an investment contract in terms of optimal allocation model is provided.

The pandemic of the coronavirus known as ‘COVID-19’ has spread rapidly across the globe, resulting in a worldwide economic recession. Although global efforts are in place to combat the virus, it continues to spread on a massive scale. This is not just a medical crisis; rather, it is a business crisis as well. Therefore, the aim of this paper is to develop a research scale that could be used to analyze the impact of COVID-19 on business. We adopted a scale variables approach that is generated from topics covered in the papers of leading academic business journals to form the basis of our analysis. We exposed the scale to qualitative and quantitative testing and concluded that it is reliable for research on the negative effects of COVID-19 on enterprises. The scale was used to investigate the impact of the COVID-19 on businesses in two countries, namely Serbia and Kuwait, to represent two different continents. The results of this research indicate that the influence of this coronavirus is equally devastating in both countries, Kuwait with its otherwise good economic conditions and Serbia with relatively poor ones. The findings of the research are beneficial for both academics in producing quality output papers, as well as their support to managers in various business industries in their fight against coronavirus to keep their businesses sustainable.

The main purpose of this paper is to study the vehicle routing problem with hard time windows where the main challenges is to include both sources of uncertainties, namely the travel and the service time that can arise due to multiple causes. We propose a new approach for the robust problem based on the implementation of an adaptive large neighborhood search algorithm and the use of efficient mechanisms to derive the best robust solution that responds to all uncertainties with reduced running times. The computational experiments are performed and improve the objective function of a set of instances with different levels of the uncertainty polytope to obtain the best robust solutions that protect from the violation of time windows for different scenarios.

The aim of the study is to examine The Mediating Role of Organizational Capabilities on the relationship between Lean Supply Chain and Operational Performance. The study population consisted of the managers in the upper and middle management of industrial companies listed on the Amman Stock Exchange, which (84) companies. To achieve the study objectives, a questionnaire was formulated to measure the variables of the study. Data were primarily gathered through self-reported questionnaires created by Google Forms The structural model was used to test the study hypotheses. The study results show that Organizational Capabilities mediate the relationship between Lean Supply Chain and Operational Performance.

The main goal of this research is to compare the various optimization strategies (Response Surface Methodology, Taguchi, and Teaching Learning Based Optimization) for orthogonal turning of Hard to Machine materials. The workpiece material in this work is Ti6Al4V alloys. After selecting cutting speeds in the High-Speed Machining range, orthogonal turning tests are performed on the material for a specific combination of machining parameters – Depth of Cut, Cutting Speed, and, Feed Rate. A Lathe Tool Dynamometer is used to record the cutting forces from the trials. After combining Johnson Cook Material and Damage models, a comprehensive Finite Element Model is created to model the Orthogonal Turning of Ti6Al4V alloys. Experiments conducted previously validate the developed model. Three different strategies, namely RSM, Taguchi, and TLBO, were used to optimise machining parameters for minimal Cutting Force. The approaches are compared for the best combination of machining parameters and the best Cutting Force value. Analysis of Variance is used to study the impact of machining factors on Cutting Force.