The aim of this study is to validate the effects of three selected major drivers; namely technological, marketing, and behavioral on online food delivery orientation. A conceptual framework is developed based on the three selected major drivers from the previous studies. To achieve the study objective, a quantitative method, a cross-sectional survey of the users of online food delivery applications, was used and one-hundred and fifty four questionnaires were gathered and analyzed via IBM SPSS and AMOS software. The finding revealed that the model was valid and technological, marketing, and behavioral drivers were found to positively predict online food delivery orientation. Based on the study results, several recommendations were suggested in this study to improve the food delivery.

Technological changes accompanied by rapid market changes have made it increasingly difficult for SMEs to develop their business in the future. Today, many organizations are shifting to e-procurement as an integrated supply chain support function to achieve strategic business goals. E-procurement or electronic procurement and supply chain Innovation have allowed for more flexibility in responding to market changes and improving the performance of the company's supply chain. The purpose of this study was to determine the impact of the implementation of e-procurement and supply chain innovation on the supply chain performance of SMEs in Indonesia. The method used in this study is a quantitative survey method using structural equation modeling (SEM) and partial least squares (PLS) with data processing tools, namely SmartPLS 3.0 software. Respondents in this study were 390 employees of SMEs in Indonesia determined by the simple random sampling method. The research data was obtained through an online questionnaire distributed through social media. From the results of the analysis, it can be concluded that the implementation of e-procurement has a significant effect on supply chain performance. Supply Chain Innovation has also a significant influence on SMEs supply chain performance.

E-consumer rights aim to provide consumers and sellers a fair opportunity when dealing online, which requires both parties to know their rights and ethics. Therefore, the purpose of this study is to verify the impact of consumer rights available on reputed online store websites in Saudi Arabia (KSA) on the customer service, using expectation confirmation theory (ECT). A random sampling technique was used for primary data collection from a sample size of 152 faculty members. IBM Software Package for Social Sciences SPSS-26 and structural equation modeling (SEM) LISREL software programs were used for data analysis. The findings show that e-consumer rights have positive and significant effects on customers’ e-reliability and e-responsiveness. In addition, consumers’ income significantly influences their e-responsiveness, while the number of e-dealings per month significantly influences both e-reliability and e-responsiveness. The results of the study also provide an inventory of eight reasons why consumers prefer to deal with local electronic stores over foreign ones. Based on these findings, theoretical importance, practical implications, and suggestions for future research are discussed.

This study aims at investigating the factors that determine the continuous intention to use smartwatches, one of the most prevalent types of wearable devices. The study extends the expectation confirmation model (ECM) by incorporating other variables (i.e., construct) which capture the unique context of smartwatches continuous usage, namely healthology, perceived aesthetics, habit, and social influence. Hypotheses were assessed using partial least square structural equation modeling (PLS-SEM) approach on data collected from 287 actual smartwatch users. The results reveal that performance expectancy, satisfaction, healthtology, perceived aesthetics and habit significantly influence the continuous usage of smartwatches, while social influence is non-significant. The research model of this study explains 65.7% of the variance in the continuous usage intention of smartwatches. The insights provided by this study suggest fruitful opportunities for future research. They can also help smartwatches companies, developers and marketers with strategies and directions for further development and growth by ensuring users’ continuous usage of smartwatches.

This study conducted a test to see the influence of data quality analytics, business ethics, and cyber risk management on operational performance and its implication on corporate sustainability of Fintech P2P Lending companies registered and licensed in Indonesian Financial Services Authority (OJK). This study used descriptive analysis and statistical method Structural Equation Modeling (SEM)-Lisrel. The data was collected by using questionnaires given to 104 managers from 91 Fintech P2P Lending companies registered and licensed at OJK until the end of December 2021. The results show that data quality analytics and cyber risk management had a positive and significant influence on operational performance. The results also show that analytical data quality, business ethics and cyber risk management had a positive and significant influence on operational performance. The findings of this study added to the limitations of the research literature on the elaboration of variables that determine performance and business sustainability in Fintech P2P lending.

An analytical procedure for the analysis of carotenoids in marine sediments rich in organic matter has been developed. Analysis of these compounds is difficult; the application of methods used by other authors required optimization for the samples studied here. The analytical procedure involved multiple ultrasound-assisted extraction with acetone followed by liquid-liquid extraction (acetone extract:benzene:water - 15:1:10 v/v/v) and HPLC analysis. The influence of column temperature on pigment separation and the quantification method were investigated – a temperature of 5 °C was selected for the Lichrospher 100 RP-18e column. The pigments in the sediment extract were quantified using a method based on HPLC analysis (at 450 nm) and spectrophotometric measurements (at 450 nm), and extinction coefficients were determined for standard solutions at this wavelength. It is very important to use the value of the extinction coefficient appropriate to the wavelength at which the detection of carotenoids was carried out.

Synthesis of pyrano-chromenes and pyrano-pyrans was developed by three-component reactions of kojic acid and aromatic aldehydes with dimethone and malononitrile, catalyzed with nano-Bi2O3-ZnO and nano-ZnO, respectively. Reactions proceeded smoothly and the corresponding heterocyclic products were obtained in good to high yields. Nano ZnO and nano Bi2O3-ZnO were prepared by sol-gel method and characterized by X-ray diffraction (XRD), energy-dispersive X-ray analysis (EDX), Fourier transform infrared (FT-IR), scanning electron microscopy (SEM), and transmission electron microscopy (TEM) techniques. Supporting Bi3+ on ZnO nanoparticles as Bi2O3, is the main novelty of this work. The simple reaction procedure, easy separation of products, low catalyst loading, reusability of the catalyst are some advantageous of this protocol.

The existence of hydroelectric plants along Amazon River tributaries is a solution to satisfy the energy demand in Brazil. However, these plants are subjected to multiple risk events because of the geographic and socioeconomic characteristics of this region. In helping to address these escalating challenges, this paper presents a framework that assesses the risk events of service packs relevant to the plant. This framework presents a transparent approach for prioritizing risk events in large projects. The weights of importance of risk events are estimated using the fuzzy analytic hierarchy process. Chang’s extent analysis method takes into consideration the vagueness and imprecision of subjective human judgments. The convergence of decisions is evaluated using two aggregation approaches, namely the maximum-minimum method based on an arithmetic mean and a geometric mean. The performances of the original and modified extent analysis methods are compared using group Euclidean distance and distance between weights metrics. The degree of similarity between the evaluation metrics is examined using Spearman’s rank correlation coefficient and average overlap approaches. Due to the inconsistency of the reported results, the final rankings of the aggregation approaches are determined using a new aggregated multiple criteria decision making method. The results indicate that the original extent analysis method using the maximum-minimum method (arithmetic mean) is the best aggregation method. A Santo Antonio hydroelectric plant in Brazil is used to demonstrate the application of the proposed framework.

An efficient route, convenient and environmentally friendly procedure for the synthesis chromenes derivatives have been developed via a three-component coupling and one-pot reactions of various aromatic aldehyde with malononitrile or ethyl cyanoacetate and phenols in the presence N,N-dimethylpyridin-4-amine (DMAP) in reflux conditions. In simple reaction conditions, the use of DMAP is explored as an easy workup and a green catalyst for the one-pot three-component synthesis ethyl 3-amino-1-aryl-1H-benzo[f]chromene-2-carboxylate derivatives.

The characterization of project critical success factors is a multidimensional construction that relies upon numerous components. This investigation analyzes the various criteria and components that impact the accomplishment of the tasks in the human resource region of the development project. This examination utilizes a comparative method, the analytic network process method is used to recognize the significant weight of models lastly, the positioning is finished by the Technique for Order of Preference by Similarity to Ideal Solution technique, to analyze 27 critical success factors in the human resource management in project, and thinks about a wide scope of progress rules and basic achievement factors. The outcomes and assessment of specialists illustrate, select increasing trust and certainty among employees and project team managers, and it has the most effect on the accomplishment of Human Resource Management in projects. Contributing to these factors will improve the effectiveness of the activities.