Mobile Commerce Website Success: Antecedents of Consumer Satisfaction and Purchase Intention

With the rapid development of apparel mobile commerce in the United States, more companies view mobile commerce as a new source of competitive advantage. Despite the importance of apparel mobile website quality and its effect on consumer satisfaction and future purchase stimulus, extant research has paid little attention to these topics. This study proposes a website quality–consumer satisfaction–purchase intention research model based on the self-regulatory process theory. Six dimensions of apparel mobile website quality—website visual appeal, apparel visual appeal, brand trust, website information quality, website response time, and website security—were investigated. In all, 293 eligible responses were collected via an online survey. Multiple regression analysis was utilized to test the proposed relationships. Results reveal that website information quality, website visual appeal, apparel visual appeal, and website security positively affect consumer satisfaction toward apparel mobile commerce websites, while website response time and brand trust show insignificant impacts on consumer satisfaction. With higher satisfaction on an apparel mobile commerce website, consumers are more likely to purchase apparel through the website.     

Preventing Customer Churn in the Mobile Telecommunication Industry: Is Mobile Money Usage the Missing Link?

The paper examines the influence of mobile money usage on customer continuance intention (CCI). The study conveniently sampled 507 mobile money users to test the research model using PLS-SEM. Satisfaction, trust and active usage of mobile money were found to influence CCI. Active usage of mobile money was also confirmed as a mediator in the relationship between satisfaction and trust, on customer continuance. The study thus validated a theoretical model of customer continuance intention as it relates to mobile money usage. It has also provided a new perspective on managing customer churn in an emerging market.     

基于西门子PLC除尘器粉尘防爆危险源信号检测及预警系统的研究

研发适用于滤袋式除尘器粉尘爆炸危险源信号的实时检测及预警系统。该系统综合应用工业控制、PLC控制、智能测控终端无线传输、云平台数据管理等技术。采用传感器分别监测除尘器运行时的进出风口压差、除尘器运行状态、高压脉冲喷吹压力和箱体温度。当监测信号不在系统预设的合理范围时,PLC输出就地预警信号,监测信号也可通过无线传输模块上传到云平台。运用云平台的数据分析功能,实现除尘器运行状态系统化监测和综合管理。     

Ratio-based design hour determination for airport passenger terminal facilities

To avoid both over-design and under-sizing of airport passenger terminal facilities such as security checkpoints, the infrastructure is designed for a specifically determined design load. As such, the design load is considered for a short period of time, usually an hour of operation, during which peak, though not necessarily maximum, demand occurs. For strategic planning applications, future design loads can be determined by either fictitious flight schedules or ratio-based models which forecast the relationship between design load and annual demand. This study presents two ratio-based methods which allow the direct determination of design hour loads (DHL) for passenger terminal facilities. The unsaturated DHL model considers the relationship between observed passenger flows in the terminal and aggregated annual demand data. The saturated DHL model includes several operational constraints which limit the actual DHL, such as limitations in the runway system or the fleet mix operating at an airport. Both models are applied to two real-world airports, for which the DHL of the security checkpoint facilities is estimated from large datasets covering multiple years. Results are significant at the 5 % level and suggest that the proposed ratio-based methods are appropriate for airport strategic planning applications.     

移动网络数据中大数据处理的关键技术探索

最近几年以来,我国科技水平持续提升,计算机网络技术也逐渐在各行各业中获得了广泛运用,这也使得信息技术的深度融合发展受到一定的促进,数据规模愈发庞大,在此背景下,开始演变成大数据供不应求的状况。为此,国内陆续推出了一系列相关的管理法规与条例,同时扩大了对大数据的探究创新力度,有效提升了移动通信网络处理数据的速度,这同时促使国内移动通信网络中有关大数据的研究内容更为明晰,由此可知,针对大数据的相关研究具有一定必要性。     

Analysing behavioural differences between e- and m-bookers in hotel booking

This study analysed the behavioural differences between e- and m-bookers in online hotel booking. The theoretical relationships among functionality and usability, perceived value for money and time, and satisfaction and loyalty were analysed based on the quality–satisfaction–loyalty framework. Results from a sample of 431 and 401 e- and m-bookers, respectively, affirmed the similarities and differences between the two types of bookers. Results also showed that e- and m-bookers substantially differ in their perceptions on functionality and usability performance, perceived value for money and relative importance of functionality and usability in online hotel booking. Moreover, the findings revealed the moderating effects of perceived value for money and time on the satisfaction–loyalty link among m-bookers.     

Mobile learning adoption for tourism education in a developing country

Since developing countries are gradually introducing mobile-based tourism education, it is a growing demand to understand the students’ intention to adopt mobile learning. The study used partial least squares-based structural equation modelling to analyse survey data from 176 questionnaires at three tourism education institutes in Bangladesh. The study contributes to the theory of planned behaviour by examining the antecedent impact of innovativeness and moderating effect of self-efficacy. Results confirmed innovativeness as a significant antecedent on the attitude–intention relationship; however, the moderating effect of self-efficacy has not been supported. The study has marketing implications for tourism education institutes and government bodies.     

基于ADS-B报文的“北斗”便携式终端实现

针对单个广播式自动相关监视（Automatic Dependent Surveillance-Broadcast，ADS-B）发射机传输距离受限、多地面站组网复杂以及成本较高等问题，在分析ADS-B报文编码与解码算法的基础上，探讨了基于无线网络传输的ADS-B报文信息技术，并设计了基于“北斗”卫星导航（BeiDou Satellite Navigation System，BDS）/嵌入式控制器以及无线网络的便携式监视终端系统。利用实测ADS-B数据联合搭建的监视中心对算法和系统进行测试，结果表明数据传输稳定，实现了低空空域通用航空飞机ADS-B态势信息的网络传输功能，丰富了监视信息的链路传输方式，为低空通航飞行器安全飞行和全面监视提供了新的方法。     

“北斗”救生终端海上自适应功率退避算法

受海况、浸水、结冰、对星等因素影响，飞行员海上遇险后报位可靠性较低，工作时长较短。为此，提出一种自适应功率退避方法，在对报位影响因素分析基础上，利用深度神经网络，通过对经纬度、高度、俯仰角、方向、加速度、速度、浸水、信号、电量等多维度数据进行学习，拟合出覆冰、浪涌、液面等信号特征与环境特征联想模型，自适应控制信号发射时机，实现功耗的有效控制。试验表明，该方法将通信成功率及工作时长分别由36.3%、6.0 h提升至73.3%、8.6 h。