A contextual perspective on consumers' perceived usefulness: The case of mobile online shopping

This research aims to study the origins of consumers' usefulness perceptions through the example of mobile online shopping adoption in Europe. The results of an empirical study, which is grounded in technology acceptance theory, reveal the pivotal role of consumers' beliefs about the quality of mobile online stores in the formation of usefulness perceptions prior to adoption. While this study identifies that consumers form their usefulness evaluations depending on the respective shopping tasks, the results of a moderation analysis yield usefulness predictors that differ in relevance across product categories and shopping touchpoints. This contextual perspective has implications for both adoption and (online) channel research. It also helps managers to identify starting points on how to promote (mobile) online shopping adoption.     

Consumers' attitudes and intentions toward Internet-enabled TV shopping

An increasing number of households are equipped with Internet-enabled televisions (IETVs) that yield opportunities for online activities. This research contributes by investigating the motivational factors of consumers’ attitudes and intentions toward IETV shopping. A quasi-experimental study in the environmental context of a living room was designed to explore IETV shopping behavior. Findings indicate that utilitarian motivations are determined by characteristics of technology and hedonic motivations from the physical environment. Attitudes toward IETV shopping are primarily influenced by hedonic shopping motivations. Conclusions suggest that by providing an IETV shopping app, retailers would make online shopping more enjoyable and comfortable for consumers.     

The importance of firing costs and the Hosios condition in search models with endogenous job destruction

We construct a DSGE search model with endogenous job destruction, incorporating wage rigidities, firing costs and unemployment benefit. We investigate the most important factors in matching the model’s cyclical properties with empirical data, particularly those of job creation rates (JCR) and job destruction rates (JDR). Firing costs assist significantly in explaining the procyclicality of JCR, the negative correlation of JCR and JDR, and the persistence of vacancies. They also decrease the counter-cyclicality of job turnover. We also postulate that the Hosios condition helps explain the negative correlation of JCR and JDR and vacancies’ persistence. Varying wage rigidities and unemployment income, however, do not improve the results.     

基于信息系统体系下的军人健康度评估问题研究

基于信息系统体系下的现代战争要求作战人员既要有强健的体魄,还要有良好的心理素质。只有身心健康,才能培养健全的人格,强化心智活动,矫正不良心理,因此,提高信息化条件下军人身心健康水平,是军队信息化建设的一项重要任务,也是考察军队政治工作质量的重要指标。     

网购市场鱼龙混杂现象的经济学解释：基于二维不对称信息的视角

网络购物市场存在商品鱼龙混杂的典型现象：高价格的商品不一定高质量，低价格的商品也不一定低质量，表现出明显的信息不对称特征。文章基于网络购物市场所存在的两个维度不对称信息的特征事实，即厂商在产品质量与产品生产成本两个方面拥有私有信息，通过构建二维不对称信息的分析框架，从市场均衡的视角首次解释了上述现象的经济机理。分析表明，由于二维不对称信息的存在，消费者和厂商决策的互动过程使得市场上产品价格与质量不再具有单调递增关系，从而网络购物市场可能出现鱼龙混杂的市场均衡，文章证明了这一均衡在合理的条件下是存在的。文章通过比较静态分析考察了市场环境的变化如何影响商品质量的价格信号显示效率以及消费者购买行为，并考察了网络购物行业商家披露信息、消费者对于商家的反馈评分机制和保证退货等手段对于消除商品鱼龙混杂现象的有效性，为进一步规范发展我国网络购物行业提供了参考。     

Regime changes and fiscal sustainability in Kenya

Kenya's fiscal policy landscape is characterized by primary deficit spending forcing the government to rely on debt to meet its objectives. The justification often being that as a developing economy, annual growth rates and future prospects may in the short run justify the uptake of debt to finance infrastructural development. However, given potential fiscal limits, fiscal cycles usually alternates between sustainable and unsustainable regimes and this has a bearing on long run sustainability. This study therefore sought to investigate the nature of fiscal policy regime in Kenya and the extent to which fiscal policy is sustainable in the long run taking into account periodic regime shifts. Markov switching models were used to endogenously determine fiscal policy regimes. Regime switching tests were used to test whether No-Ponzi game condition and debt stabilizing condition were met. The results established that regime switching model was suitable in explaining regime sustainable and unsustainable cycles. An investigation of fiscal policy regimes established that both sustainable and unsustainable regimes were dominant, and each lasted for an average of four years. There was evidence to imply the existence of procyclical fiscal policy in Kenya. Regime switching tests for long run sustainability suggested that the No-Ponzi game condition weakly holds in the Kenyan economy. Regime-based sensitivity analysis indicated that persistence of unsustainability regime for more than 4 years could threaten long-run fiscal sustainability.     

校园购物网的营销策略探讨

信息时代,网络已经深深改变了传统社会中人们的生活方式和工作方式,大大提高了人们获取和传递信息的能力。在如今的大学校园,网上购物已成为了当代大学生课余生活的一大热门。校园网的高速、快捷为校园购物网站的建设提供了得天独厚的条件。如何在拥有广大消费群体和消费潜力的校园市场,开辟出一片符合大学校园的电子商务市场,建立一个基于校园网的经济、实用、高效、稳定的校园购物网站,是当前亟待解决的问题。本文通过对校园网站营销进行探讨和研究,提出了相应的营销策略,以期能对校园购物网的发展起到一定的借鉴作用。     

How to increase multichannel shopping satisfaction? An adapted Kano based stage-gate approach to select new technologies

Today, brick-and-mortar retailers with integrated online shops have many alternatives to increase their customers’ shopping satisfaction: They could invest in (for the retailers) new physical store technologies (e.g., beacons or magical mirrors if not implemented up to now), new online shop technologies (e.g., visual tagging or webcams), or in new less technology-based improvement options (e.g. events or product testing). We propose an adapted Kano based stage-gate approach to support multichannel retailers confronted with such selection problems. The approach is applied to a major European sporting goods retailer. 37 improvement options are pre-selected and evaluated by current and potential customers. It can be shown that instore returns, instore services, reserve&collect, click&collect, customization, product testing, and magical mirrors are drivers of satisfaction for the current customers and should be implemented in contrast to, e.g., geofencing or beacons. The potential customers are more technology-savvy, but show similar categorizations as a current customer segment and so confirm the selection.     

An intelligent service matching method for mechanical equipment condition monitoring using the fibre Bragg grating sensor network

Due to the advantages of being able to function under harsh environmental conditions and serving as a distributed condition information source in a networked monitoring system, the fibre Bragg grating (FBG) sensor network has attracted considerable attention for equipment online condition monitoring. To provide an overall conditional view of the mechanical equipment operation, a networked service-oriented condition monitoring framework based on FBG sensing is proposed, together with an intelligent matching method for supporting monitoring service management. In the novel framework, three classes of progressive service matching approaches, including service-chain knowledge database service matching, multi-objective constrained service matching and workflow-driven human-interactive service matching, are developed and integrated with an enhanced particle swarm optimisation (PSO) algorithm as well as a workflow-driven mechanism. Moreover, the manufacturing domain ontology, FBG sensor network structure and monitoring object are considered to facilitate the automatic matching of condition monitoring services to overcome the limitations of traditional service processing methods. The experimental results demonstrate that FBG monitoring services can be selected intelligently, and the developed condition monitoring system can be re-built rapidly as new equipment joins the framework. The effectiveness of the service matching method is also verified by implementing a prototype system together with its performance analysis.