Assessing the role of network topology in transportation network resilience

The abstract representation of a transportation system as a network of nodes and interconnecting links, whether that system involves roadways, railways, sea links, airspace, or intermodal combinations, defines a network topology. Among the most common in the context of transportation systems are the grid, ring, hub-and-spoke, complete, scale-free and small-world networks. This paper investigates the role of network topology, and the topology’s characteristics, in a transportation system’s ability to cope with disaster. Specifically, the paper hypothesizes that the topological attributes of a transportation system significantly affect its resilience to disaster events. Resilience accounts for not only the innate ability of the system to absorb externally induced changes, but also cost-effective and efficient, adaptive actions that can be taken to preserve or restore performance post-event. Comprehensive and systematically designed numerical experiments were conducted on 17 network structures with some relation to transportation system layout. Resilience of these network structures in terms of throughput, connectivity or compactness was quantified. Resilience is considered with and without the benefits of preparedness and recovery actions. The impact of component-level damage on system resilience is also investigated. A comprehensive, systematic analysis of results from these experiments provides a basis for the characterization of highly resilient network topologies and conversely identification of network attributes that might lead to poorly performing systems.     

Managing security risks for inter-organisational information systems: a multiagent collaborative model

Information sharing across organisations is critical to effectively managing the security risks of inter-organisational information systems. Nevertheless, few previous studies on information systems security have focused on inter-organisational information sharing, and none have studied the sharing of inferred beliefs versus factual observations. In this article, a multiagent collaborative model (MACM) is proposed as a practical solution to assess the risk level of each allied organisation’s information system and support proactive security treatment by sharing beliefs on event probabilities as well as factual observations. In MACM, for each allied organisation’s information system, we design four types of agents: inspection agent, analysis agent, control agent, and communication agent. By sharing soft findings (beliefs) in addition to hard findings (factual observations) among the organisations, each organisation’s analysis agent is capable of dynamically predicting its security risk level using a Bayesian network. A real-world implementation illustrates how our model can be used to manage security risks in distributed information systems and that sharing soft findings leads to lower expected loss from security risks.     

面向能力培养的男装课程教学方法

本文以温州大学服装设计与工程专业为例,以温州大学人才培养模式创新实验区为依托,结合温州男装人才市场的实际需求,提出了面向能力培养的服装类院校男装课程体系教学改革方法。针对男装课程的具体特点和要求,在分析授课内容,总结实践教学经验的基础上,提出以课程项目为驱动,开展专项性与综合性相结合的教学设计,以此提升学生的学习兴趣,提升学生对男装的设计整合能力。     

Design and development of inventory knowledge discovery system

Inventory management (IM) performance is affected by the forecasting accuracy of both demand and supply. In this paper, an inventory knowledge discovery system (IKDS) is designed and developed to forecast and acquire knowledge among variables for demand forecasting. In IKDS, the TREes PArroting Networks (TREPAN) algorithm is used to extract knowledge from trained networks in the form of decision trees which can be used to understand previously unknown relationships between the input variables so as to improve the forecasting performance for IM. The experimental results show that the forecasting accuracy using TREPAN is superior to traditional methods like moving average and autoregressive integrated moving average. In addition, the knowledge extracted from IKDS is represented in a comprehensible way and can be used to facilitate human decision-making.     

Will future land based food and fibre production be in family or corporate hands? An analysis of farm land ownership and governance considering farmer characteristics as choice drivers. The New Zealand case

Family farming in various guises has been the dominant ownership and governance system in primary production over recorded history. This outcome has been controlled by farmers and their families, possibly due to tradition, opportunities, personal characteristics, skill sets and the nature of primary production. Of these, it is hypothesised that the farmers’ personal characteristics play a major part in the choice, and continuance, of current ownership and governance systems. Equally as important, they, and therefore the land ownership system, play a part in the efficiency of production systems and improvement of the biological and production environment.The benefits and difficulties of commonly used ownership systems in Western society are reviewed. Using a sample of New Zealand (NZ) farms, a comparison of the managers’ features for owner/operator, partnership and corporate based systems is presented. There were significant differences in many variables including the farmers’ age, education, number of children, asset levels, years on the current farm, and similar, but more importantly, the farmers in the ownership system groups had differing personal characteristics. Significantly, despite the corporate based farms employing more professional assistance, the profit levels were similar across ownership systems leaving the farmers’ characteristics the main factors correlating with system choice. However, governance systems per se are only marginally correlated with production systems and efficiency.As successive generations of farmers are unlikely to have different characteristics, and corporate based systems continue to exhibit similar profit levels, relatively simple family based systems will continue to dominate farm land ownership and control. The trends suggest family farms will increase in size and involve family conglomerates facilitating the management of larger, and in many cases multiple, farms. While currently there are few differences in biological efficiency between ownership systems, given the efficiency benefits of size and scale, this could well change with the increase of family conglomerates. Relative to increasing corporatisation, the continuance of family based ownership and governance will also be of benefit to the environment. When developing land policies, these highlighted relationships should be taken into account. This study is a first to consider personal characteristics relative to ownership.     

Education Dashboards for Enhanced Learning: A Singapore Experience

Educators continue to utilize add-ons, extensions, or replacements to traditional Learning Management Systems (LMSs) to supplement capabilities and improve the classroom experience. This work resulted in the design and development of the Education Dashboards for Enhanced Learning (EDEL) template. The EDEL template enables faculty members to create dynamic web spaces called Knowledge Portals (KPortals). A semester-long introduction of KPortals proved to be positive and useful. Students tended to view the KPortal as a “go-to” webspace. The authors hope to refine the template in future studies and examine its usefulness in other countries.     

Learning-by-importing in emerging innovation systems: evidence from Ecuador

Using data from the population of Ecuadorian importers, we examine the extent to which the characteristics of their imports relate to their labor productivity. Results indicate that the technological intensity of imports does not explain differences in labor productivity, although the region of origin of imports explains differences in the manufacturing sector, as imported technologies from advanced regions are associated with superior labor productivity. Nevertheless, as technology intensive imports are not associated with superior performance, we argue that importers from developing countries may use foreign technology inexpertly due to the lack of absorptive capacity and the emerging nature of their national innovation system.     

The impact of IT-enabled customer service systems on service personalization,customer service perceptions,and hotel performance

Customer service is a critical element of a hotel's strategy and an important lever for differentiation of the hotel's offer. Over the last two decades, information systems have contributed to the transformation of customer interactions, enabling an unprecedented scale and scope of service personalization in the tourism industry. This paper reports the results of a mixed method study in a hotel that offers three contributions to the development and refinement of IT-enabled service personalization theory. It explores the role of signifiers in the design of customer service systems, showing that they significantly increase customer preference elicitation during the learning phase of the service personalization process. It then demonstrates that improved preference elicitation translates into higher customer service evaluations and value perceptions of the hotel. Finally, our study shows that IT-enabled service personalization creates financial benefits for the hotel via revenue share-shift from costly intermediated to direct distribution channels.     

A profit-maximization location-capacity model for designing a service system with risk of service interruptions

This paper considers the design of an immobile service system in which each facility’s service process is subject to the risk of interruptions. The location-capacity decisions and allocations are simultaneously made to maximize the difference between the service provider’s profit and the sum of customers’ transportation and waiting costs. An efficient Lagrangian-based solution algorithm is developed, which solves large-sized instances with up to 50 service facilities and 500 customers in a few seconds. Several sensitivity analyses and managerial insights are presented. The model is also applied to a case study on a logistics network design problem in the zinc mining industry.