Roles of Corporate Reputation and Service Recovery in Food Safety Crises:A Case Study of Food Hygiene Incidents in Hot Pot Restaurants

Food hygiene incidents in hot pot restaurants were studied,and a relationship model between corporate reputation and consumers behavioral intention was established.Hot pot consumers of hot pot restaurants were surveyed through questionnaires.The results show that corporate reputation positively affects service recovery and repurchase intention,and service recovery positively influences repurchase intention,while corporate reputation affects repurchase intention through service recovery.In other words,under the situation of enterprise crises,the service recovery of an enterprise can restore its image and reputation.Therefore,when an enterprise has a crisis,it should positively respond to the crisis incident,and take timely crisis recovery to maintain its positive image.

RF-CLASS： A remote-sensing-based flood crop loss assessment cyber-service system for supporting crop statistics and insurance decision-making

Floods often cause significant crop loss in the United States. Timely and objective information on flood-related crop loss, such as flooded acreage and degree of crop damage, is very important for crop monitoring and risk management in ag- ricultural and disaster-related decision-making at many concerned agencies. Currently concerned agencies mostly rely on field surveys to obtain crop loss information and compensate farmers＇ loss claim. Such methods are expensive, labor intensive, and time consumptive, especially for a large flood that affects a large geographic area. The results from such methods suffer from inaccuracy, subjectiveness, untimeliness, and lack of reproducibility. Recent studies have demonstrated that Earth observation （EO） data could be used in post-flood crop loss assessment for a large geographic area objectively, timely, accurately, and cost effectively. However, there is no operational decision support system, which employs such EO-based data and algorithms for operational flood-related crop decision-making. This paper describes the development of an EO-based flood crop loss assessment cyber-service system, RF-CLASS, for supporting flood-related crop statistics and insurance decision-making. Based on the service-orientated architecture, RF-CLASS has been implemented with open interoperability specifications to facilitate the interoperability with EO data systems, particularly the National Aeronautics and Space Administration （NASA） Earth Observing System Data and Information System （EOSDIS）, for automatically fetching the input data from the data systems. Validated EO algorithms have been implemented as web services in the system to operationally produce a set of flood-related products from EO data, such as flood frequency, flooded acreage, and degree of crop damage, for supporting decision-making in flood statistics and flood crop insurance policy. The system leverages recent advances in the remote sensing-based flood monitoring and assessment, the near-real-time availability of EO data, the service-oriented architecture, geospatial interoperability standards, and the standard-based geospatial web service technology. The prototypical system has automatically generated the flood crop loss products and demonstrated the feasibility of using such products to improve the agricultural decision-making. Evaluation of system by the end-user agencies indicates that significant improvement on flood-related crop decision-making has been achieved with the system.

Discussion on Improving Decision-making Meteorological Service Level of County-level Meteorological Station

Based on experience of meteorological service at county-level meteorological station in recent 20 years,status quo of decision-making meteorological service,main influence factors of decision-making meteorological service and writing of decision-making meteorological service materials are analyzed,and measures and suggestions of improving decision-making meteorological service level are proposed. The research aims to improve public meteorological service level at grass-roots level,provide scientific decision-making basis for government departments preventing and reducing disaster,and reduce loss of life and property of the country and people caused by meteorological disasters to the maximum extent.

Decision-Making Model of Public Service Facility Configuration in Multi-agent Communities and Its Application

The decision-making process of the public service facility configuration in multi-agent community is usually simplistic and static.In order to reflect dynamic changes and interactions of all behavior subjects including of residents,real estate developers and the government,a decision-making model of public service facility configuration according to the multi-agent theory was made to improve the efficiency of the public service facility configuration in community and the living quality of residents.Taking a community to the east of Jinhui Port in Fengxian District in Shanghai for example,the model analyzed the decision-makers' adaptive behaviors and simulated the decision-making criteria.The results indicate that the decision-making model and criteria can be well of satisfying the purpose of improving validity and rationality of public service facility configuration in large community.

Source Timing Recovery of Constant-bit-rate(CBR) Services in ATM Networks

Asynchronous Transfer Mode(ATM)technique is regarded as an efficient approach forthe integration of diverse types of services in Broadband Integrated Services Digital Network(B-ISDN).The Asynchronous-Time-Division(ATD)Statistical Multiplexing and FastPacket Switching in ATM networks bring serious uncertainty to the end-to-end Cell DelayVariation(CDV)of the CBR traffic(e.g.voice,audio,CBR video,etc.)and cause troublesfor the Source Timing Recovery(STR)of CBR services.This paper discusses the originsand features of the CDV,two STR implementation methods proposed by the InternationalTelecommunication Union(ITU),and an optimal STR scheme with a Digital-to-AnalogConverter(DAC)based Phase-Locked Loop(PLL).

A Study on Internal Service Recovery Strategy Using CIT from the First Line Staff's Perspective

Service is a special product. It is intangible and unstored, so service errors are not avoided. Once service errors appear, the first line staffs who keep direct touch with customers will play an important role in service recovery. The staffs' negative emotions during the recovery service should be recovered by internal service recovery. In this paper, critical incident technique is applied to analyse the recovery strategies expected by the first line staff and the internal service recovery strategies such as inspiring, authorization, training and psychology service are put forward. the strategy most expected by the staff is reward.

A Component Mining Approach to Incubate Grid Services in Object-Oriented Legacy Systems

This paper describes an approach for Grid service component mining in object-oriented legacy systems, applying software clustering, architecture recovery, program slicing and wrapping techniques to decompose a legacy system, analyse the concerned components and integrate them into a Grid environment. The resulting components with core legacy code function in a Grid service framework.

A Transaction Management Model Supporting Service Grids

Service grids possess the features of intelligence and automation to compose heterogeneous resources and will be a commercial focus in network economy pattern. However, service grid business is loosely-coupled, distributed and long-running, so there is a real challenge for the researchers to provide consistency and reliability for service grid business. This paper references the transaction management methods in Web service and the safepoint concept in workflow system, combines with the feature of the service grid, and then presents a transaction management model based on service grid. This model guarantees the robustness of grid service composition and assures that service grid enabling system provides consistent and reliable results for the consumers. Key words service grid - transaction - coordination framework - coordination protocol - recovery - salepoint CLC number TP 393 Foundation item: Supported by the High Technology Research and Development Program of China (2003AA414210) and National Natural Science Foundation of China (60173051)Biography: CHEN Xiang-yu (1979-), female, Master candidate, research direction: Web service, grid, distributed system.

Analysis of Critical Factors in Manufacturing by Adopting a Cloud Computing Service

The advantages of a cloud computing service are cost advantages,availability,scalability,flexibility,reduced time to market,and dynamic access to computing resources.Enterprises can improve the successful adoption rate of cloud computing services if they understand the critical factors.Tofind critical factors,this studyfirst reviewed the literature and established a three-layer hierarch-ical factor table for adopting a cloud computing service based on the Technology-Organization-Environment framework.Then,a hybrid method that combines two multi-criteria decision-making tools—called the Fuzzy Analytic Network Process method and the concept of VlseKriterijumska Optimizacija I Kompromisno Resenje acceptable advantage—was used to objectively identify critical factors for the adop-tion of a cloud computing service,replacing the subjective decision of the authors.The results of this study determinedfive critical factors,namely data access secur-ity,information transmission security,senior management support,fallback cloud management,and employee acceptance.Finally,the paper presents thefindings and implications of the study.

An Integrated Framework for Cloud Service Selection Based on BOM and TOPSIS

Many businesses have experienced difficulties in selecting a cloud service provider(CSP)due to the rapid advancement of cloud computing services and the proliferation of CSPs.Many independent criteria should be considered when evaluating the services provided by different CSPs.It is a case of multi-criteria decision-making(MCDM).This paper presents an integrated MCDM cloud service selection framework for determining the most appropriate service provider based on the best only method(BOM)and technique for order of preference by similarity to ideal solution(TOPSIS).To obtain the weights of criteria and the relative importance of CSPs based on each criterion,BOM performs pairwise comparisons of criteria and also for alternatives on each criterion,and TOPSIS uses these weights to rank cloud alternatives.An evaluation and validation of the proposed framework have been carried out through a use-case model to prove its efficiency and accuracy.Moreover,the developed framework was compared with the analytical hierarchical process(AHP),a popular MCDM approach,based on two perspectives:efficiency and consistency.According to the research results,the proposed framework only requires 25%of the comparisons needed for the AHP approach.Furthermore,the proposed framework has a CR of 0%,whereas AHP has 38%.Thus,the proposed framework performs better than AHPwhen it comes to computation complexity and consistency,implying that it is more efficient and trustworthy.

表情符号对潜在消费者的服务补救效果研究

企业常使用人工客服或聊天机器人来回复遭遇服务失败的顾客,以减轻不满。然而,很少有研究探究服务补救中的情感表达工具,即表情符号对潜在消费者的溢出效应。基于SIP理论和调节定向理论,探讨服务补救中回复表情符号对潜在消费者信任及购买意愿的影响。研究表明:(1)线上负面评论处理中,相比无表情符号,有表情符号会提高潜在消费者的购买意愿;(2)信任中介了表情符号对购买意愿的影响;(3)调节定向在中介路径“表情符号→信任→购买意愿”中起调节作用,即对于促进定向的潜在消费者中介路径显著,对于预防定向的潜在消费者,中介路径不显著。研究拓展了表情符号营销、服务补救等领域的内容,对企业有效处理客户反馈并在与客户互动中受益具有实践意义。

An Adaptive Hybrid Optimization Strategy for Resource Allocation in Network Function Virtualization

With the rapid development of Network Function Virtualization(NFV),the problem of low resource utilizationin traditional data centers is gradually being addressed.However,existing research does not optimize both localand global allocation of resources in data centers.Hence,we propose an adaptive hybrid optimization strategy thatcombines dynamic programming and neural networks to improve resource utilization and service quality in datacenters.Our approach encompasses a service function chain simulation generator,a parallel architecture servicesystem,a dynamic programming strategy formaximizing the utilization of local server resources,a neural networkfor predicting the global utilization rate of resources and a global resource optimization strategy for bottleneck andredundant resources.With the implementation of our local and global resource allocation strategies,the systemperformance is significantly optimized through simulation.

金属材料可持续发展实施策略--以铝合金为例

金属材料是人类社会发展的战略资源,在国内矿产资源日趋减少及国际资源竞争加剧的背景下,寻求金属材料的可持续发展是保障我国资源安全、满足工业需求的必要措施。铝合金作为第二大金属材料,由于耐蚀性好、回收再生能耗污染小,是最具有回收再生价值的金属材料,但在铝合金可持续发展中存在降级回收这一问题。本文从回收与再生角度进行分析,提出精细化分选与强化提纯除杂的方向,考虑到全生命周期循环,对未来的铝合金设计方向及服役过程加以综述,最后对铝合金未来可持续发展进行了展望,期望以铝合金为代表,为金属材料可持续发展的实施策略提供参考。

Cyberattack Ramifications, The Hidden Cost of a Security Breach

In this in-depth exploration, I delve into the complex implications and costs of cybersecurity breaches. Venturing beyond just the immediate repercussions, the research unearths both the overt and concealed long-term consequences that businesses encounter. This study integrates findings from various research, including quantitative reports, drawing upon real-world incidents faced by both small and large enterprises. This investigation emphasizes the profound intangible costs, such as trade name devaluation and potential damage to brand reputation, which can persist long after the breach. By collating insights from industry experts and a myriad of research, the study provides a comprehensive perspective on the profound, multi-dimensional impacts of cybersecurity incidents. The overarching aim is to underscore the often-underestimated scope and depth of these breaches, emphasizing the entire timeline post-incident and the urgent need for fortified preventative and reactive measures in the digital domain.

机器人服务失败和补救研究进展与述评

通过文献回顾的方法,系统梳理人工智能机器人服务失败的概念、维度、消费者反应和补救策略的相关研究。研究发现:现有研究对机器人服务失败的概念和维度主要沿用人际服务互动中的相关概念。机器人服务失败对消费者的结果影响包括:情绪和认知,负面态度,失败归因以及行为和行动。同时,机器人服务失败的补救策略可分为言语补救策略和人工干预策略两大类。基于此,未来学者可以从深挖机器人服务失败的独特性,消费者对机器人失败反应的心理机制探寻,机器人服务失败的独到补救策略,机器人服务失败和补救的演化研究以及进行多种方法混合的互补研究等五个方面进一步拓展机器人服务失败的相关研究。

轻量级SpaceFibre节点高速传输系统的优化设计

为满足卫星有效载荷间SpaceFibre链路的高带宽、高可靠性和轻量化的应用需求,提出一种SpaceFibre节点传输系统的优化设计。该设计采用基于帧累计的增量化计算方法减少了计算电路的冗余;通过四级流水架构满足了错误检测操作的时序要求,使用循环冗余校验共享机制平衡了硬件资源的使用;采取基于完整应答的双层控制策略提升了系统的可靠性,通过构建面向资源优化的控制状态机和存储架构简化了确认重传算法的实现逻辑。使用型号为XC7Z100FFG900-2的FPGA搭建双节点系统,板级验证表明:该设计满足协议规范,与同类设计方案相比,最高工作频率提高1.5倍,支持最高6.25 Gbit/s的传输速率,查找表资源和存储资源降低,寄存器资源相近,为开发具有自主知识产权的高速可靠SpaceFibre编解码器提供了参考。

我国云灾备发展现状与趋势研究

在当今企业数字化大潮中,数据已成为企业的核心资产,而确保这些数据的安全与可用则至关重要。云灾备作为一种新兴的数据保护方式,在我国正逐步崭露头角。阐述了我国当前云灾备的发展现状,分析了其中存在的一些问题(如灾备环节存在的技术难点、管理体系有待完善、产品适配需进一步加强等),并进一步探讨了我国云灾备未来的发展趋势。

基于SERVQUAL模型下的航空服务补救研究分析

近年来,有关航空服务补救现象的研究层出不穷。国家有关部门尚未出台相关法律法规来具体明确实施细则,将相关权责下放给各民航服务主体部门,导致旅客接受到服务补救的标准不一、种类各异。文章通过引入美国市场营销学家帕拉休拉曼等人提出的SERVQUAL模型,从宏观层面上,将航空服务补救的相关理论部分,带入模型内部进行系统化,多维度的定性分析。研究结果发现:当前航空服务补救过程中或存在服务补救措施草率、信息来源不对称、一线服务员工处置权受阻、服务补救方式呆板单一、服务补救处置流程不规范等问题。为此提出未来的发展建议,目的是促进航空服务补救理论的完善和发展,助力新时代新征程下民航高质量发展。

新闻制播系统云容灾数据同步方案设计与实践

步入云时代后,灾备的方式有了全面的革新。介绍浙江广播电视集团新闻制播系统云上容灾的方案设计,重点解析通过同步服务实现数据实时双向同步的路径,实现云上云下一体化的容灾环境,真正做到灾备的快速恢复和应急响应。