Consumer intention to use smartphone for mobile shopping

The purpose of this study is to identify the determinants to use the mobile phone to make purchases. The study involved a total of 210 respondents approached in a public higher learning institution in Federal Territory of Labuan, Malaysia. This study applies convenience sampling technique to ensure researcher to monitor the participation of the sample. They were chosen to identify the intention to use smartphones for mobile shopping among young adults. The concept of using smartphones for mobile shopping was explained to the respondents to ensure full understanding in order to obtain best result. Multiple regression analysis asserted that Perceived Usefulness (PU), Perceived Enjoyment (PE), Perceived Ease of Use (PEOU), and Satisfaction (SAT) influence the Intention to use (INT). The results could help online retailers in improving their marketing platform and to understand more of their customers' needs and wants

Optimal design of two-sided CUSUM schemes

An optimal CUSUM chart is commonly defined as one with a fixed in control average run length (ARL) and the smallest ARL for a specified shift Δ in the mean. As the run length distribution is usually positively skewed, median run length (MRL) is a more reasonable measure of location than the mean given by ARL. As such it is more reasonable to define the optimal CUSUM in terms of MRL. The optimal CUSUM schemes in terms of ARL and MRL are obtained in the case when the observations have a normal or exponential distribution. It is found that the parameter (k, h) of the optimal CUSUM in terms of ARL and that of the optimal CUSUM in terms of MRL are fairly different

Biomimetic processing of bioactive interface on silicon substrates

To facilitate the implantation of silicon-based devices in vivo, the presence of a biocompatible and bioactive coating is noted to be an essential factor. The objective of this present work is therefore to explore a relatively simple and low cost process to induce the formation of bioactive apatite on silicon. The formation of apatite on silicon was carried out by a biomimetic approach on two orientations of silicon wafer, namely (100) and (111). The samples are functionalized by chemical etching, followed by incubation in a simulated body fluid. Scanning electron microscopy, energy dispersive X-ray analysis, X-ray diffraction analysis, and X-ray photoelectron spectroscopy were carried out. It was found that the growth of apatite is dependent on the orientation of the silicon wafer. Cell culturing experiment further verified the biological performance of the apatite-coated silicon samples