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。     

‘I didn't feel like I was alone anymore’: evaluating self‐organised employee coping practices conducted via Facebook

The long‐term fracturing of the labour movement has led to increased attention to employee coping practices under new management practices and labour processes. However, the literature caters little for the recent rise of employees taking to social networking sites (SNSs), such as Facebook, to find ways to cope with the pressures of contemporary employment. To explore the self‐organised coping qualities of SNSs, interviews were conducted with front line workers, employed by a large anti‐trade union US retailer, who contribute to a self‐organised Facebook group set up as a place for fellow employees to deal with collective employment‐related problems. The main findings suggest employee self‐organised Facebook groups represent an important development and extension to the coping practices available to individual and groups of employees. The main implication of the findings is that Facebook groups appear to strengthen and widen the options for employee resilience in an age of continuing trade union retreat.     

The moderating role of demographic variables on customer expectations in airport retail patronage intentions of travellers

The international airport retail business is expanding annually, yet most research into traveller’s experience with the aviation industry have centred on aeronautical features. The study gathered information that would guide the understanding of airport customer retail expectations. Specifically, the study examines the effects of product-relevant factors, market-relevant factors, and perceived service quality on retail patronage intentions, taking into account the moderating role of demographic variables. The purposive sample of three hundred and thirty (330) travellers that were selected at the Kotoka International Airport Terminal 1 and 2 (KIA T1&2) in Accra, the capital of Ghana. The findings show that product-relevant factors, market-relevant factors and overall service quality significantly influence airport retail patronage intention. The effect demographic variables was noticeable among older and high-income consumers. Building on previous studies, we find that product-relevant factors, market-relevant factors, and perceived service quality function as viable signals that drives customer expectations.     

US small retail businesses’ perception of competition: Looking through a lens of fear,confidence, or cooperation

The U.S. retail industry has undergone dramatic changes, leading to the closing of brick-and-mortar retail stores on a large scale. Understanding perceived market competition among small retail businesses may help explain why certain businesses survive or fail in the altered retail environment. This study investigates small retail businesses' perceptions of competition within/outside the community, underlying reasons for their perceptions, and variations in perceptions by different business characteristics. Contrary to common expectations, we found that more than half of businesses interviewed were optimistic in the face of competition. Our data reveal two salient underlying reasons for pessimism and five for optimism. These perceptions tended to differ by operational locality (urban clusters vs. urban areas), business revenues, and innovativeness. Based on the findings, we developed propositions and a framework of small businesses' perceived competition and sustainable competitive advantage. We discussed theoretical and practical implications for small retail businesses’ sustainable growth in the challenging retail environment.     

场景化架构零售商业模式研究

文章在对场景理论进行回顾的基础上，确立了场景化架构的三要素：空间、产品和消费者，刻画了场景化架构的架构属性：空间的审美性、产品作为场景文化价值载体的媒介性、消费者对场景传达的文化价值的认同性，构建了场景化架构零售商业模式的理论模型。实证研究表明场景化架构理论模型各变量具有很好的聚合效度和区别效度，也验证了新颖性和互补性在场景化架构对体验价值创造影响的中介作用。文章的主要贡献在于提出了场景化架构这一构念，并构建了场景化架构零售商业模式的理论模型，探索和验证了该商业模式实现价值创造的内在机理，同时验证了在以往实证研究中对商业模式价值属性讨论极少的互补性是一个重要的中介变量。     

基于多维频谱地图的干扰规避

针对复杂电磁环境下卫星移动通信系统可靠通信需求，利用频谱地图多维数据呈现优势，提出了基于多维频谱地图的干扰规避方法。通过建立卫星移动通信系统波束、时隙、子频带、干扰强度等多维信息关联的频谱地图，利用数据挖掘方法对频谱可用情况进行预测，基于预测结果及用户QoS(Quality of Service)需求生成干扰规避策略，通过星地联合频谱资源调配实现系统干扰规避。该方法为卫星移动通信系统干扰规避提供了一种全新的思路，可提升卫星移动通信系统干扰防护能力。     

Bridging the valuescape with digital technology: A mixed methods study on customers’ value creation process in the physical retail space

This mixed methods study investigated how value is created in the physical retail space and how the customer experience is influenced by digital technology. A cross-sectional survey, with both qualitative and quantitative components, was distributed across a heterogeneous sample of 832 customers. The results revealed an overarching model comprised of three interrelated clusters: customer, service provider, and digital technology. We propose that this model can be understood as a valuescape, where customers' specific goals, needs, and desires drive them to interact and co-create value with service providers in the physical retail space, with digital technology either enhancing or disrupting this value co-creation process. The results also show that the importance of aligning digital solutions with customers’ drives increases at the same pace as reliance on technology. The findings offer guidelines on how to utilize digitalization to leverage customer experiences and thus strengthen the attractiveness of physical retail spaces.     

Shopping intention at AI-powered automated retail stores (AIPARS)

Artificial Intelligence (AI) is transforming the way retail stores operate. AI-Powered Automated Retail Stores are the next revolution in physical retail. Consumers are facing fully automated technology in these retail stores. Therefore, it is necessary to scrutinize the antecedents of consumers' intention to shop at AI-Powered Automated Retail Stores. This study delves into this area to find the predictors of consumers’ intention to shop at AI-Powered Automated Retail Stores. It extends the technology readiness and acceptance model by the addition of AI context-specific constructs such as Perceived Enjoyment, Customization and Interactivity from the present literature. The proposed model is tested by surveying 1250 consumers & the data is analyzed using the PLS-SEM technique and empirically validated. The outcome of the study reveals that Innovativeness and Optimism of consumers affect the perceived ease and perceived usefulness. Insecurity negatively affects the perceived usefulness of AI-powered automated retail stores. Perceived ease of use, perceived usefulness, perceived enjoyment, customization and interactivity are significant predictors of shopping intention of consumers in AI-powered automated stores. This research presents insightful academic and managerial implications in the domain of retailing and technology in retail.     

Exploring the determinants of usage continuance willingness for location-based apps: A case study of bicycle-based exercise apps

This paper investigates how mobile app design and social media can be used to influence the intention for continued use of location-based mobile apps. Uses and gratification theory and information systems success model are used to explore the key factors of continued usage intention. Three hundred and fifty-six valid questionnaires were collected to test the research model. The results showed that perceived usefulness, enjoyment, sense of belonging would significantly influence the usage habit and satisfaction of bicycle-based exercise app. In particular, the habit and satisfaction had strong impact on the intention for continued use. This study extended the findings of exercises with mobile apps and provided implications for the developers and operators of fitness and leisure-oriented apps.