16 research outputs found
Consumer-Based Leisure Constraint for Online Gaming
[[abstract]]The purpose of this study is to develop a multidimensional measure of consumer-based leisure constraint for online game play and to assess its psychometric properties. An empirical model of player constraint in online games provides the foundation to understanding and assessing how players differ from one another (such as high gamers/low gamers and high gamers/non-gamers) and how constraints on play relate to frequency of use. In the current study, an exploratory factor analysis was used to extract the common factors, and confirmatory factor analysis was used to create an empirical model of players' perception of constraint and to reveal its underlying structure. The analysis revealed six dimensions of constraint. The relationship between perception of constraint and frequency of use is also presented.[[notice]]補正完畢[[incitationindex]]SSCI[[booktype]]電子版[[booktype]]紙
Developing a Theoretical Model to Examine Consumer Acceptance Behavior of Mobile Shopping
Part 3: Adoption and DiffusionInternational audienceMobile activity is increasing in popularity with Smartphones and Tablets being used for a variety of daily online activities. However, the number of mobile users utilizing mobile devices for the purpose of shopping is relatively low and there has been limited theoretical research examining the acceptance behavior of consumers in the UK. This research aims to develop a theoretically grounded adoption model to examine UK consumers’ mobile shopping acceptance behavior. Through consideration into findings from existing research, a theoretically grounded model is developed by extending UTAUT2 with perceived risk, trust, mobile affinity and innovativeness. This theoretical model can subsequently be empirically tested with data gathered from the UK
Examining the Factors Affecting Behavioural Intention to Adopt Mobile Health in Jordan
International audienceHealth organizations worldwide express a considerable attention to utilize Mobile technology applications to provide a better health services to their people. One of the most emerging apps in this regard is Mobile health (M-health). Large amount of efforts, money, and time have been invested to provide such innovative technology. Yet, the adoption rate of these systems is still low. Additionally, such system has never been examined over the Jordanian context. Thus, this study aims to test the most important factors that could shape the intention of Jordanian people to use Mhealth. Four factors: perceived usefulness, social influence, awareness, and innovativeness were proposed as key predictor of behavioural intention. Data was collected using convenience sample size of 365 and was analyzed using structural equation modelling. The main statistical findings supported the role of perceived usefulness, social influence, and innovativeness. More discussion will also be provided regarding the current study practical and theoretical implications
Assessment of Perceived Risk in Mobile Travel Booking
Considering the increasing prevalence of smartphones in travel experiences, a relatively low level of mobile booking for travel products suggests the importance of understanding the perceived risk that inhibits mobile consumption behaviours among travellers. Based on responses from an online panel, this study identified the multidimensional facets of perceived risk associated with mobile travel booking, which include time risk, financial risk, performance risk, security risk, psychological risk, physical risk, and device risk. Further, it was identified that there are antecedents that contribute positively (i.e., collection of personal information) and negatively (i.e., consumer innovativeness, trust, and visibility) to perceived risk. Finally, this research estimated the effects of perceived risk on behavioural outcomes, including perceived usefulness, attitudes, and booking intentions. Implications to alleviate or reduce perceived risks are provided
Consumer Mobile Shopping Acceptance Predictors and Linkages: A Systematic Review and Weight Analysis
NoMobile phones have become an integral part of human lives with
majority of people using them to access product and services for their day-today needs. However, mobile shopping adoption across the globe is not wide or
fast as expected. In addition, the research is very scant in understanding various
predictors of consumer adoption towards mobile shopping. The objective of this
study is to identify most significant and non-significant predictors of consumer
mobile shopping acceptance. Systematic review and weight analysis on 34
mobile shopping studies revealed researchers mostly employed TAM and
UTAUT model as theoretical lens. This study found an interesting revelation
that extrinsic motivation variables such as social influence and perceived usefulness determine consumer mobile shopping behavioral intention during early
stages. However, in later stages intrinsic motivation variables such as satisfaction and trust play crucial role to emerge as best and promising predictor of
consumer continuous intention respectively