The Impacts of Information Privacy, Monetary Reward, and Buyers’ Protection Excess on Consumers’ Utility Using E-payment Gateways: A Conjoint Analysis

This paper reports our findings on the impacts of information privacy, financial reward, and buyers’ protection excess on consumers’ utility using E-payment Gateways. We invited users of the G2C E-government Portal of Hong Kong to participate in an online experiment and collected data from 1,795 subjects. From our conjoint analysis, we find that monetary reward has the most significant impact on consumers’ utility among the six design attributes of E-payment Gateways investigated in this study, i.e. monetary reward, online transfer of information, acceptability, buyers’ protection excess, anonymity, and physical control. We also observe that there is a gender impact on the relative importance of these attributes

Consumer E-Service Evaluation in Hong Kong Online Music Subscription Service Industry

This study investigates into factors affecting the success of E-service using a research model grounded on the Updated DeLone and McLean Information System Success Model (DeLone & McLean, 2003). Fourteen factors originated from four constructs, i.e., system quality, information quality, service quality, and vendor dimensions, are included in our research model. Using the online music subscription industry in Hong Kong as the platform of our investigation, we examine the associations between these four constructs and customer preference in the online music subscription service industry in Hong Kong. We collected data from 135 college students from Hong Kong to test our model using the Analytical Hierarchy Process (AHP). We show that each E-business success construct in our model has different levels of importance in E-service success in the online music subscription service industry. Our findings provide decision makers of E-business firms with useful insights to enhance their E-service quality

Educational Usage of Mobile Devices: Differences Between Postgraduate and Undergraduate Students

The rapid increase of smartphone usage in recent years has provided students the opportunity to participate in mobile learning (m-learning) anywhere, anytime. Academic institutions are also following this trend to launch many m-learning services. This article investigates the differences of the user needs between undergraduate (UG) and postgraduate (PG) students though an online survey with 140 Library Information Systems (LIS) subjects in a Japanese university in order to provide solid foundations for future m-learning studies. We find that UG and PG students do not show significant differences in adopting m-learning by smartphones despite the fact that they have different learning patterns. The m-learning frequencies of smartphones generally range from weekly to monthly, where using search engines is the most frequent, and reading academic resources is the least frequent. They tend to use these services for handling their daily routines (such as search engine, social networks) rather than their academic activities (such as using online databases to search for academic materials). Further, the results also show that content displaying issues (e.g., small display screen, text unable to enlarge) are barriers for most subjects in using these m-learning services

The General Academic Self-Efficacy Scale: Psychometric Properties, Longitudinal Invariance, and Criterion Validity

Academic self-efficacy (ASE) refers to a student’s global belief in his/her ability to master the various academic challenges at university and is an essential antecedent of wellbeing and performance. The five-item General Academic Self-Efficacy Scale (GASE) showed promise as a short and concise measure for overall ASE. However, of its validity and reliability outside of Scandinavia is limited. Therefore, this paper aimed to investigate the psychometric properties, longitudinal invariance, and criterion validity of the GASE within a sample of university students (Time 1: n = 1056 & Time 2: n = 592) in the USA and Western Europe. The results showed that a unidimensional factorial model of overall ASE fitted the data well was reliable and invariant across time. Further, criterion validity was established by finding a positive relationship with task performance at different time stamps. Therefore, the GASE can be used as a valid and reliable measure for general ASE

Grit across nations: The Cross-National Equivalence of the Grit-O Scale

Despite its popularity in practice, the Grit-O Scale has shown inconsistent factorial structures and differing levels of internal consistency in samples outside the USA. The validity of the Grit-O Scale in different contexts is, therefore, questionable. As such, the purpose of this paper was to determine whether the Grit-O Scale could be used as a valid and reliable measure to compare grit across different nations. Specifically, the aim was to investigate the factorial validity, reliability, and concurrent validity of the Grit-O Scale and to investigate measurement invariance across three national cohorts (Europe, the USA, and Hong Kong). Data were gathered from 1888 respondents stemming from one USA- (n=471), two Hong Kong- (n=361) and four European (n=1056) universities. A series of traditional CFA and less restrictive ESEM models were estimated and systematically compared to determine the best factorial form of the Grit-O Scale. The results showed that a bifactor ESEM model, with one general factor of overall grit and two specific factors (consistency of interest and perseverance of effort), fitted the data best, showed strong measurement invariance across the three samples, and showed itself to be a reliable measure. Furthermore, concurrent validity was established by showing that the three grit factors were directly and positively related to task performance. Meaningful latent comparisons between the three cultural cohorts could therefore be made. The results imply that cross-national comparisons of grit may only be problematic when traditional CFA approaches are favoured. In contrast, ESEM modelling approaches may compensate for cross-national differences in understanding grit and control for differences in the interpretation of the scale’s items. Therefore, the bifactor ESEM approach may be more appropriate for cross-cultural and cross-national comparison studies, as it allows for these differences to be meaningfully captured, modelled, and controlled for