Understanding perceived shopping effectiveness with omnichannel: A MOA theory perspective

Customers’ shopping effectiveness is a critical factor in encouraging customers to stay with the firms, the knowledge regarding how to provide shopping effectiveness in an omnichannel retailing environment remains underexplored. Thus, this study draws on Motivation-Opportunity-Ability theory (MOA) and examines MOA factors affecting customers’ perceived shopping effectiveness, which in turn influences customers’ omnichannel usage continuance intention. The expected findings may suggest that the opportunity factor, channel integration quality encompassing channel-service configuration, content consistency, process consistency, and assurance quality, positively influences customers’ percieved shopping effectiveness. Furthermore, the motivation factors such as relative advantage, perceived ease of use, personalized incentives, flow, and enjoyment, have positive effects on customers’ perceived shopping effectiveness. In addition, ability factors encompassing technology readiness and self efficacy are expected to influence perceived shopping effectiveness. As a result, perceived shopping effectiveness positively influences omnichannel usage continuance intention. These findings enhance the literature on the shopping values and channel integration quality in an omnichannel retailing environment. These findings also offer insightful implications for omnichannel retailers in terms of creating and managing customers’ shopping effectivess in the post-COVID period

Codeswitching by tertiary level teachers of business English: A Vietnamese perspective

This study examines the codeswitching (CS) practice of Vietnamese teachers in content-based tertiary level Business English classes, the teachers' accounts of and their students' perceptions of this behaviour. The study found that CS did occur in the observed classes and served particular purposes. The teachers indicated their support for this practice in their teaching. The students reported overwhelmingly positive perceptions of this behaviour, although they suggested that this practice should be balanced

Penalized Spline Joint Models for Longitudinal and Time-To-Event Data

The joint models for longitudinal data and time-to-event data have recently received numerous attention in clinical and epidemiologic studies. Our interest is in modeling the relationship between event time outcomes and internal time-dependent covariates. In practice, the longitudinal responses often show non-linear and fluctuated curves. Therefore, the main aim of this chapter is to use penalized splines with a truncated polynomial basis to parameterize the non-linear longitudinal process. Then, the linear mixed effects model is applied to subject-specific curves and to control the smoothing. The association between the dropout process and longitudinal outcomes is modeled through a proportional hazard model. Two types of baseline risk functions are considered, namely a Gompertz distribution and a piecewise constant model. The resulting models are referred to as penalized spline joint models; an extension of the standard linear joint models

Developing graduate knowledge and skills for the world of work: The case of the translation curriculum in Vietnam

National and global challenges have given rise to the need to prepare Vietnamese graduates for effective adaptation to the increasingly changing professional field, their community, their society and the globalised world. The tertiary education curriculum thus needs to take into account the employment market, socio-cultural demands and students’ individual needs in order to develop highly educated populations for the world of work and for the current knowledge economy. Based on a case study of the translation curriculum in a B.A. (Bachelors of Arts) language program, this paper addresses the mismatch between the demands of the translation employment market and the curriculum within the context of Vietnamese tertiary education. It raises a number of important issues related to the tensions between the centralised curriculum, learner-centred education, the actual demands of the employment market as well as the issue of capacity building in response to the socialist-oriented market economy and the changing workplace context in Vietnam. Implications are drawn not only for the translation curriculum, but also for the reform of the Vietnamese tertiary education curriculum as a whole, in order to enhance graduate employability

Investigation in ability to improving accuracy of interpolation method for height anomalies using terrain data and remove-restore technique

This article presents theory and experience in improving accuracy of interpolation for height anomaly using terrain data and remove-restore technique. Height anomaly is distance from the quasigeoid to the ellipsoid surface. It is a characteristic of gravitational potential and very important information in geodesy and the other branches of earth science. There are different methods of determining height anomaly as: gravitation, gravitation - geodesy, GPS and leveling...ect. In addition to, it can be determining by interpolating with data of exist points. In order to improving accuracy of interpolation, it should be used terrain data and remove - restore technique. Remove -restore technique has been popular in physical geodesy so many scientists in almost of countries have used for a long time. Theoretical basic of improving accuracy of interpolation using terrain data and remove -restore technique is division of height anomaly into two parts. The first one is long wave being smooth and varying regularly. The other one is short wave (terrain effect in height anomaly) being rough and varying complicatedly. Results of interpolating will be more accurate if short wave is removed in order to interpolating the remain long wave and then restored short wave for results of interpolating. According to this theory, numerical investigations are done within four areas of Viet nam. The data used are GPS-TC anomalies and terrain elevation. The anomalies are interpolated in both cases: normal interpolation and interpolation using terrain data and remove - restore technique. In both cases, some points in set points having height anomalies are chosen being origin in order to interpolating for the other points. Then, results of interpolation are compared with exist values in order to predicting theirs accuracy. Numerical results indicate that if average distance between points approximately 20 km, using terrain data and remove - restore technique can increase accuracy of height anomaly interpolation from  50%  to  80% and average is  64%. This increase is very remarkable. Results of this study have important implications, contributing to saving time and costs for determining height anomalies.ReferencesPhạm Thị Hoa, 2012: Luận án tiến sỹ kỹ thuật “Nghiên cứu xác định ảnh hưởng của độ cao địa hình trong dị thường độ cao và độ lệch dây dọi ở Việt nam”. Trường Đại học Mỏ Địa chất.Shaofeng Bian, 1996: Topography supported GPS levelling. Zeitschrift fur Vermessungswesen, 121, Jahrgang 1996. Verlag Konrad Wittwerk GmbH Stuttgart, Germany, S.109-113.Tom Lyche and Knut Morken, 2008: “Spline Methods”, Department of Informatics, Centre of Mathematics for Applications, University of Oslo

Antibacterial activity of Piper betle extracts on Helicobacter pylori and identification of potential compounds

Helicobacter pylori is one of the most common infectious bacteria in the world that causes gastric diseases leading to cancer. The increase of multiple antibiotic resistance rates of H. pylori have been reported worldwide. Thus, development of novel drugs is urgently required. Piper betle has many therapeutic values in traditional medicine. In this study, therefore, we investigated antibacterial activity of P. betle extracts and their fractions against a H. pylori strain isolated in Vietnam. The agar disk diffusion assay showed inhibition zone of ethyl acetate extract and methanol extract from P. betle leaf that of were 46 mm and 32 mm in diameter, respectively. After fractionation of the ethyl acetate extract through silica gel column chromatography, two peaks, PD2 and PD3, out of 12 fractions showed the strongest antibacterial activity. PD2 was sub-fractionated further by re-chromatography on the silica gel column, and subfraction TK12 gave best resolution on LC-MS analysis. Finally, 4 potential compounds, quercetrin, calodenin B, vitexin and plicatipyrone, were identified in TK12 fraction.