信号级协同计算平台架构及应用思考

针对智能化作战对军事电子信息系统计算能力提升的迫切需求，结合云计算的资源虚拟化、大数据的分布式计算等技术，提出了基于嵌入式CPU+ALL（DSP、FPGA、PPC、GPU、AI处理器等）的异构处理的信号级协同计算平台架构，包括弹性、轻量级异构资源虚拟化模型、分布式实时计算框架和智能计算框架等，形成了一套架构统一、资源共用、使用简便的协同计算和智能计算环境。通过战术级无线电认知和智能信号与信息处理两个典型应用场景，探讨了该信号级协同计算平台可能带来的颠覆性效用。     

An agile marketing capability maturity framework

This work proposes a four-stage maturity framework for the development of an agile marketing capability (AMC) in the context of MICE tourism. Through an inductive study based on 16 semi-structured interviews with CEOs and managers, we provide a snapshot of organizations at varying levels of maturity in the management and development of AMC based on the degree of “sophistication” undertaken in approximately four dimensions (customer-oriented responsiveness, high flexibility, human collaboration, quick and continuous improvement). Recommendations to further enrich the debate toward this novel line of inquiry are presented. This study also has important implications for managers, offering a useful tool to assess and improve their marketing efforts to develop AMC and achieve greater abilities to adapt to dynamic and fast-changing environments.     

The role of fundamental motivations in willingness-to-pay online

This study aims to determine whether an understanding of chronic fundamental consumer motivations can help determine the mechanisms of willingness-to-pay for products online. To do so, it employs a simulated buying task on a fictional e-commerce site for a consumer product (branded either as a “new arrival” or a “classic”) to investigate the effects of two fundamental motivations (mate acquisition vs. self-protection) on willingness-to-pay for the product online. The primary focus of the paper to investigate the capacity of mate acquisition and self-protection motives to moderate the relationship between attitude toward the product and willingness-to-pay, as well as, the effects of the motives on willingness-to-pay are considered. Through regression and interaction effect analyses, it is shown that chronic fundamental motivation for mate acquisition is directly correlated with an increased willingness-to-pay for both product types, and it moderates the relationship between attitude toward a product and willingness-to-pay. Self-protection motivation increases willingness-to-pay for classic products but not new arrivals. By offering a rare look at chronic fundamental motivation in the consumer context and potentially being the first investigation of the moderating effects of fundamental motivations, the results mostly support the notion of predictable motivation induced behavioral tendencies.     

A conceptual model to imply a negative innovation assessment framework on consumer behaviors through the electronic business platforms

Online retail platforms significantly impact consumers' purchasing decisions. Satisfaction, purchase intent, and repeat online shopping drive the platform's purchasing decisions. In contrast, individuals do not purchase products due to dissatisfaction and lack of purchasing intent. It will cause hesitation and spread negative feedback to influence online consumer behaviors. This research proposes a conceptual model incorporating the Status Quo Bias (SQB) and the Negative Online Purchase Decision-Making Process (NOPDMP) to suggest a new framework for evaluating the maintained consumer behavior of online shopping platforms. The questionnaires following the proposed conceptual model were collected from the sample data from participants of 384 experienced respondents using online shopping platforms. Data were analyzed for the causal relationship using Structural Equation Model. The implications of the assessment framework that incorporates the influence of negative factors can weigh the decision to purchase products and improve and reduce shopping cart abandonment on e-commerce platforms. This framework can also describe instances of negative perspectives regarding incentive alignments with actual behaviors.     

Assessment of OECD Better Life Index by incorporating public opinion

Well-being has a multidimensional nature as it depends on multifaceted factors such as material conditions and quality of life. The Organization for Economic Co-operation and Development (OECD) has developed the Better Life Index (BLI) as part of the OECD Better Life initiative to facilitate the better understanding of what drives well-being of people. The BLI is a three-level hierarchical composite indicator that covers several socio-economic aspects. In this paper, considering the entire hierarchical structure of the index, we introduce a bottom-up procedure for the aggregation of the components at each level. We formulate the assessment of BLI as a multiple objective programming (MOP) problem that facilitates the implementation of different concepts to derive different aggregation schemes. We incorporate the data from previous years into the normalization process of the indicators, to take into account the discrepancy on their observed values and smooth their deviations across the years. Also, we consider the public opinion about well-being that is captured from the worldwide responses in the web platform of OECD BLI. We incorporate the public opinion into the assessment models in the form of weight restrictions. In this way, we reduce the effect of compensation that might be imposed by the adopted modelling approach. We apply our methodology to the data of 38 countries (35 OECD and 3 non-OECD economies) for the year 2017. Our findings illustrate that the public opinion in the form of weight restrictions can effectively drive the optimization process and depict the collective preferences to the BLI scores.     

Terminator or accelerator? Lessons from the peer-to-peer accommodation hosts in China in responses to COVID-19

This study investigates how peer-to-peer accommodation (P2PA) hosts in China have responded to the COVID-19 pandemic. A multi-case study approach was adopted to depict the decision-making logic of three different types of hosts—speculators, diplomats, and entrepreneurs—based on an awareness-motivation-capability (AMC) framework under COVID-19. The findings highlight the role of owner motivation (profit/sharing/entrepreneurial-driven) and capabilities, such as having a unique value proposition and linkages with other hospitality experience, under COVID-19. Meanwhile, the platform collaboration capability failed to support survival during the pandemic. Moreover, the current study indicated that, after the COVID-19, entrepreneurs will continue to innovate, diplomats’ operations will remain unchanged and speculators will quit hosting. Hence, COVID-19 is an accelerator of P2P industry that reserving the hosts who embrace the original features of the P2PA sector, e.g. sharing and a focus on the experience, and eliminating the hosts who have diluted the uniqueness of the sector.     

新时代中国城市土地集约利用若干问题的再认识

研究目的：基于中国城市土地集约利用研究现状，面向新时代要求，重新审视与厘清城市土地集约利用理论认知、评价标准、影响机制和优化调控等基本问题，为中国土地集约利用的理论完善和实践创新提供支撑。研究方法：理论分析法和推理演绎法。研究结果：（1）城市土地集约利用在理论认知上应由“三个阶段”转向“三个时期”；（2）城市土地利用集约度的评价标准应由静态指标转向动态耦合；（3）城市土地集约利用的影响机制研究应由封闭区域转向关联传导；（4）城市土地集约利用优化调控策略应由极限集约转向最优集约。研究结论：进入新时代，城市土地集约利用理论上可实现“不增地，多增效”甚至“地减量，效增加”，未来相关研究应重点关注存量和减量规划中建设用地与经济发展之间关系的变化特征，以及国土空间规划与土地利用计划管理改革下新的城市土地集约利用问题。国家相关规程中的集约评价标准须结合区域发展阶段进行“匹配性”修正，政策制定要考虑区域间的“关联性”和“传导性”进行精准化设计，治理方案应按照最优集约度的“动态性”进行差异化调控。     

社会互动对规模养殖户环保饲料支付意愿的影响研究*——基于改进的目标导向理论模型分析框架

［目的］通过引入社会互动变量改进目标导向行为理论框架，探讨生猪规模养殖户对环保饲料的支付意愿及其影响因素，为完善畜禽养殖污染防治政策提供参考借鉴。［方法］以湖北省生猪规模养殖户为研究对象，应用Heckman两阶段模型，研究规模养殖户对环保饲料的支付意愿。［结果］大多数规模养殖户（8134%）愿意采用环保饲料，且平均意愿支付水平为每头生猪饲料成本的669%（4680元/头）。社会互动中的干群互动、同行互动均能显著提升规模养殖户对环保饲料的支付意愿，但同时同行互动不利于其意愿支付水平的提升。进一步的异质性分析表明，在环保饲料支付意愿决策上，社会互动较少的规模养殖户更容易受到制度规范的约束，而社会互动较多的规模养殖户则更易受到感知养殖热情的影响。［结论］政府部门应加大生态环保宣传力度，并借助多种方式推动规模养殖户进行社会互动； 同时可依据社会互动程度的不同，分别制定相应措施以促进规模养殖户对环保饲料支付意愿的提升。     

韩国与中国台湾地区自由贸易港区发展比较研究及经验借鉴

目前,中国亟需借鉴国际经验探索建设中国特色自由贸易港。韩国政府对自由贸易港区实行税收减免、金融支持、生活配套等多方面优惠政策。中国台湾地区的自由贸易港区除了传统自由贸易港的转运功能之外,还包括深度加工制造功能,并通过功能布局、政策优化与修整提升自由贸易港区的竞争力。通过比较发现,韩国和中国台湾自由贸易港区均具有立法保障、功能多元和高效运营等3个相似特征,同时它们在管理机构、功能形态、税收减免和服务供给方面存在差异。中国特色自由贸易港应先通过立法对其管理与运行进行规范,结合区位优势选择合适的功能定位,通过税收减免优惠及增加良好生活配套供给来吸引高质量外资。