Factores que influyen en la intenci?n de uso de tecnolog?a de medios de pago m?vil en negocios minoristas en Lima Metropolitana

A pesar del r?pido crecimiento del uso de smartphones a nivel internacional, los pagos m?viles a?n se encuentran en una etapa temprana de adopci?n en la mayor?a de pa?ses, especialmente como m?todo de pago en punto de venta. Los estudios que abordan este tema se centran ?nicamente en el consumidor, a pesar de existir una interdependencia con la adopci?n por parte de comerciantes, cuyas motivaciones son diferentes al estar relacionadas con su empresa. La complejidad de este tema, se debe tambi?n en la existencia de diversos proveedores de estos servicios que abarcan desde banca hasta retail, y en la variedad de tecnolog?a m?vil existente, que avanza cada a?o. Teniendo en consideraci?n estos motivos, la presente investigaci?n tuvo como objetivo proponer y validar un modelo conceptual que permita identificar y determinar cu?les son los principales factores que influyen en la intenci?n de uso de tecnolog?a de medios de pago m?vil en negocios minoristas. El estudio realizado fue de car?cter explicativo, de naturaleza cuantitativa y corte transversal, el cual fue desarrollado en la ciudad de Lima

Optimization of adsorptive removal of α-toluic acid by CaO2 nanoparticles using response surface methodology

The present work addresses the optimization of process parameters for adsorptive removal of α-toluic acid by calcium peroxide (CaO2) nanoparticles using response surface methodology (RSM). CaO2 nanoparticles were synthesized by chemical precipitation method and confirmed by Transmission electron microscopy (TEM) and high-resolution TEM (HRTEM) analysis which shows the CaO2 nanoparticles size range of 5–15 nm. A series of batch adsorption experiments were performed using CaO2 nanoparticles to remove α-toluic acid from the aqueous solution. Further, an experimental based central composite design (CCD) was developed to study the interactive effect of CaO2 adsorbent dosage, initial concentration of α-toluic acid, and contact time on α-toluic acid removal efficiency (response) and optimization of the process. Analysis of variance (ANOVA) was performed to determine the significance of the individual and the interactive effects of variables on the response. The model predicted response showed a good agreement with the experimental response, and the coefficient of determination, (R2) was 0.92. Among the variables, the interactive effect of adsorbent dosage and the initial α-toluic acid concentration was found to have more influence on the response than the contact time. Numerical optimization of process by RSM showed the optimal adsorbent dosage, initial concentration of α-toluic acid, and contact time as 0.03 g, 7.06 g/L, and 34 min respectively. The predicted removal efficiency was 99.50%. The experiments performed under these conditions showed α-toluic acid removal efficiency up to 98.05%, which confirmed the adequacy of the model prediction