一种飞行器集群管理和任务分离的组网方法

组网是卫星、无人机等飞行器集群实现协同的基础。传统自组织组网技术针对地面随机移动场景设计，不适用于拓扑和传输根据任务变化的飞行器集群场景，为此设计了一种管理与任务分离的组网方法，将网络分为管理面和任务面两个逻辑层面，管理面负责拓扑发现、路由建立、任务规划等基础组网功能，任务面负责任务执行过程中的数据传输功能。管理面和任务面实行不同的组网策略，从而使得网络的传输性能根据管理和任务执行的不同需求进行优化，以减少协议开销及降低传输自干扰。     

Tourists’ happiness: are there smart tourism technology effects?

The purpose of this study is to develop a research model demonstrating tourists’ value-seeking processes through the tourism services and travel experiences of a destination. The model suggests that tourist happiness is assessed by tourists’ perceived experiences, which are formed by two motivational values: smart tourism technology (STT) and destination value. Despite a large quantity of research attention on destination tourism, the relation between tourists’ destination experience and STT has been less enthusiastically studied. Therefore, this study proposes to test an integrated model with attributes of STTs and destination values that contribute to tourists’ life happiness. The results of this study, from a survey of 191 foreign tourists in Seoul, South Korea, indicate that tourists are likely to put more value on what they perceived from their destination travel experiences than what they perceived from their experiences with STT services when they evaluate their overall happiness. Theoretical and practical implications are discussed.     

Industry 4.0 technologies in the manufacturing sector: Are we sure they are all relevant for environmental performance?

This research contributes to the debate about the relevance of Industry 4.0 technologies in improving environmental performance in the manufacturing industry. We employed a qualitative–quantitative approach in which 19 Italian operations managers were interviewed and 260 managers responded to an online questionnaire. The effects of various technologies were ranked using ordinal regression. Comments and suggestions gave context to the quantitative results. Sensors, radio-frequency identification, artificial intelligence and analytics were found to be most relevant in improving environmental performance, whereas simulation software contributed moderately. Additive manufacturing, cobots, robots, automated mobile robots and automated guided vehicles had a negative effect, augmented reality had no effect and other technologies indirectly affected environmental performance. We also found a lack of knowledge and application as well as scepticism about technologies such as artificial intelligence and augmented reality. Finally, there was concern about the disposal of electrical and electronic waste produced by these technologies.     

桥梁路面防水施工技术关键点研究

桥梁工程具有周期长以及范围大等特点。因此,在桥梁施工中任何一个环节出现偏差,都可能诱发裂缝或剥离等问题,最终影响整个桥梁的质量。路面防水工程是桥梁施工项目中的重要环节,防水工程的施工质量将直接影响桥梁结构的整体质量以及使用寿命。因此,在桥梁防水施工过程中,要选择合格的施工材料以及最优的施工方法,从而提高桥梁路面防水工程的施工质量。     

Knowledge capital,CEO power,and firm value: Evidence from the IT industry

Disruptive innovation dramatically changes the demand of a product market in the information technology (IT) industry. In response to the impact of disruptive innovation, IT firms that may be eliminated from the competitive race actively develop innovative products and adjust their operating strategies to strengthen their survivability in the fiercely competitive market. Thus, this study explores the factors that affect firm value in the IT industry under the impact of disruptive innovation. The empirical results reveal that knowledge capital and CEO power play crucial roles in explaining firm value. IT firms with powerful CEOs and increased knowledge capital have high firm values. The effects of knowledge capital and CEO power on firm value are especially significant for founder and duality CEO firms. Furthermore, the influence of CEO power is more prominent in periods of financial crisis.     

Many a little makes a mickle: Why do consumers negatively react to sequential price disclosure?

Drip pricing (DP) is distinct from partitioned pricing as it sequentially discloses surcharges to consumers. Critics see DP as a deceptive pricing tactic because it obscures the final price of an offer. We examine the effects of the timing of the final price disclosure and the number of sequentially presented surcharges on consumers' attention to the final price and, ultimately, perceived price fairness. In an eye‐tracking study with 225 participants, we find that the sequential (vs. up‐front) disclosure of the final price lowers perceived price fairness by increasing consumers' attention to the final price, in particular, when the number of surcharges is high. In addition, the sequential disclosure of the final price lowers perceived price fairness because of higher perceived price complexity and lower pricing transparency perceptions. The findings suggest that firms need to be aware of both attentional and cognitive effects of the final price disclosure when designing DP.     

Self-service technology in supermarkets – Do frontline staff still matter?

This paper uses the concept of psychological distance under construal level theory to explore the differences in the customers’ evaluations of overall store quality, satisfaction and loyalty, based on their experiences with the traditional staff-checkout method and the relatively new self-checkout machines. Two empirical studies, a field survey with retail shoppers in UK (N1 = 313) and an online survey with members of a consumer panel in Australia (N2 = 474), show that the perceived quality of staff-checkout has a stronger positive impact on the overall store quality, satisfaction and loyalty, than the quality of self-checkout. Similarly, satisfaction with staff-checkout has a stronger positive effect on store satisfaction and loyalty, than the satisfaction with self-checkout. Finally, loyalty to staff-checkout also has a stronger positive influence on store loyalty, than the loyalty towards self-checkout. These results show that despite growing use of self-service technology, frontline staff continue to be important for overall store evaluations.     

农业企业采纳大数据技术影响因素研究——基于ISM模型的实证分析

为提升大数据技术在农业领域的应用深度与广度,进一步挖掘农业数据资源,推动农业供给侧改革。基于189份农业企业调研数据,运用ISM模型,分析了农业企业采纳大数据技术影响因素及其关联关系与递阶层次结构。提出加大技术的研发力度,提高核心设备和技术的自主知识产权水平,加强大数据技术产业协作,培养企业数据管理意识与大数据技术型人才,加强大数据技术公共示范工程的宣传作用等对策建议。     

海洋科技创新驱动区域经济增长影响效应分析

海洋经济被视为引领世界经济发展的新引擎.基于结构方程模型在经济学领域分析复杂关联因素中的优势,采用偏最小二乘结构方程模型研究海洋科技创新能力、蓝色经济发展和区域经济发展之间的关联效应,分析海洋科技与经济发展之间的内在作用机理.实证研究表明:海洋科技创新能力对蓝色经济发展具有显著的直接促进作用;引入蓝色经济作为中介变量形成传导路径,科技创新能力对驱动区域经济发展具有间接效应及明显的总体作用.