结合新型模糊支持向量机和证据理论的多传感器水质数据融合

在多传感器水质数据融合领域，证据理论是有效的数据融合方法之一，但基本概率分配一般不易确定，从而使数据融合能力难以有效发挥。支持向量机是统计学习理论之上的高级分类算法，具有普适性和全局优化等特点，但输出的基本概率分配有待进一步提高。提出了一种基于证据理论和新型模糊支持向量机相结合的数据融合方法，通过建立基于分类超平面距离的模糊隶属度，训练模糊支持向量机提高传统支持向量机的基本概率分配，并结合证据理论进行海河水质数据融合。通过证据理论分别结合支持向量机和模糊综合评价法与上述方法进行对比实验，经精度、平均绝对百分误差、均方根误差等指标验证，精度提高10.5%，表明所提方法是一种可靠的多传感器的水质融合方法，较其他方法具有更高的融合精度。     

Community supported agriculture membership: The benefits of spousal involvement

Fresh vegetables originating from alternative food networks (AFNs) are an increasingly popular choice all over the world. Being part of an AFN frequently redefines consumption and participation of family members in food‐related activities. Community Supported Agriculture (CSA) is a type of AFN, providing increased access to produce in a form of risk‐sharing model between farmers and consumers, which at the same time influences organization of household resources. Thus, not only the given member of a CSA, but also his/her spousal activities in household processes should be taken in account. It is clear that entering into CSA significantly affects lifestyles and frequently requires a great deal of adaptation, possibly leading to a crisis of whether to stay within the CSA or cease membership. The objective of this study was to reveal how spouses influence CSA membership. Using an explorative design, this study has identified three emerging patterns of spousal influence: coherent, integrative and neutral/antagonistic. The spousal influence on CSA membership may represent partner activities regarding food issues but also has an effect on food preparation and culinary choices at home. Our findings suggest that membership in CSA presents challenges and thus spousal support is crucial in the long term. As a consequence, spousal influence should be examined in relation to CSA participation. Inconveniences associated with CSA membership could be avoided by providing more information about the importance of spousal support.     

管理会计在VBSE实践教学平台中的创新应用研究--基于高职会计技能大赛管理会计赛项视角

数字经济时代下各行业经营环境愈加复杂,传统的财务会计已经无法有效满足企业内部管理的需要,急需向管理会计方向转型。VBSE实践教学平台通过模拟企业真实经营环境让更多学生有机会感受和体验公司财务工作,但其内容仍然以会计核算、纳税申报、报表编制等传统知识点为主,缺少管理会计方面的分析、预测、战略制定等经营管理决策活动的内容设计。以高职会计技能大赛管理会计赛项为视角,分别从资金、营运、成本和绩效四个岗位研究管理会计在VBSE实践教学平台中的融入和创新应用,旨在完善VBSE实践教学平台中的管理会计建设,培养更多管理会计人才。     

Here comes Generation Z: Millennials as managers

As the workplace continues to change, a new generational cohort—Generation Z, sometimes referred to as iGen—is beginning to enter the workforce. At the same time, millennials are now progressing in their careers and will be challenged with managing these incoming workers. The purpose of this article is to provide a contextual overview that identifies and illuminates some of the defining work-related characteristics of these two youngest generations in the workplace to increase understanding of the potential intergenerational conflict between these cohorts and develop leadership strategies that can be utilized to increase employee morale and productivity. This article analyzes the millennial supervisor-Gen Z subordinate relationship based on generational cohort theory, leader-member exchange (LMX) theory, and the work values framework.     

A cellular automata-based land-use model as an integrated spatial decision support system for urban planning in developing cities: The case of the Bogotá region

Bogotá and the 17 neighboring municipalities make up one of the biggest metropolitan areas in Latin America. However, despite strong functional interactions within the area, there is no official government body at this level in charge of coordinating authorities and providing solutions to the wide variety of issues arising in the regional urban land system. Aiming at providing an insight on future land-use developments linked to new transport infrastructures and at offering a tool to support territorial decision-making, this paper presents a cellular automata-based (CA) model based in Metronamica® software, that allows testing different scenarios based on potential land-use policies, environmental suitability and transport alternatives.There has not been, so far, an urban planning tool that accounts for the complexities of this region. CA-based land-use simulations constitute a useful approach to understanding the impacts of urban planning policies and regulations. This tool can help to improve inter-territorial and inter-institutional coordination, which through planning and management policies seek a spatially integrated development, with a long-term perspective.The CA-based model proposed was calibrated to reproduce land-use changes between 2007 and 2016 using different methods and indicators. The model was used to simulate and analyze eight scenarios with different policy directions of transport infrastructure in the future of the region. The results of the simulations reflect the dynamics of territorial occupation. The calibration indices in the experiment indicate a high degree of suitability for the CA Bogotá model, proving its effectiveness and potential as a useful tool for decision-making. The results show that occupation scenarios with restricted developable zones within the city, tend to have the greater dispersion rate in the study area, compared to scenarios where land development plans are promoted in Bogotá, which representing a more compact development.     

Drivers of innovation in groundwater governance. The links between the social and the ecological systems

Global groundwater overexploitation positions groundwater governance as a critical issue for improving sustainable water management. Evidence of aquifer recovery after overexploitation is scattered, as is the research on the drivers behind recovery. The Fuencaliente Aquifer in Spain faced a tragedy of the commons situation, but after an innovative governance arrangement was implemented, the aquifer is gradually recovering. In this research, we identify the drivers that made possible the emergence and acceptance of such an arrangement using the social-ecological system framework. We identified external drivers such as market incentives and limited enforcement capacity of the water authority as the main factors that led to groundwater depletion, but we also found that these same drivers, under a new regulatory framework that reinforced monitoring and sanctioning capacities, are the basis for the effective recovery of the aquifer. Internal drivers such as the socioeconomic attributes of the users, their limited collective action and the power differences between traditional and commercial farmers are also critical in explaining the acceptance of the new governance arrangement. Even if these drivers are context-specific, we identified innovations that might be transferable and contribute to the literature on good practices in groundwater governance and management.     

The use of landslide hazard maps to determine mitigation priorities in a dam reservoir and its protection area

Despite longstanding research on the landslide hazard assessment and mapping, the use this information in regional planning applications remains largely unclear. There is still a need for novel methods to interpret the results of hazard analyses. In this respect, the main research question of this study is how the landslide hazard maps can be evaluated in planning practice. To evaluate this issue, a comprehensive case study was carried out and a new methodology, defining the order of priority for the locations where mitigation measures are applied was developed. The investigations were carried out in the Melen Dam reservoir, which provides potable water to the city of Istanbul, and the dam protection area (Duzce, Turkey) in four main stages: (i) Evaluation of the general characteristics of the study area, (ii) preparation of landslide inventory, (iii) development of landslide hazard model, and (iv) implementation of the results of hazard analyses in planning. As a consequence, a decision support system that can evaluate analytically complicated outputs “P_Combined”, “P_{AL min.}”, and “L_Total” and provide clear decisions “Urgent”, “Primary”, and “Secondary” was suggested. Considering the limited resources available for the mitigation measures, the determination of mitigation priorities for the micro-catchments constitutes the key land-use policy for the protection of the dam reservoir.     

Does the spatial representation affect criteria weights in environmental decision-making? Insights from a behavioral experiment

The need and interest to consider cognitive and motivational biases has been recognized in different disciplines (e.g. economics, decision theory, risk analysis) and has recently reached environmental decision-making. Within this domain, the intrinsic presence of a spatial dimension of both alternatives and criteria calls for the use of maps throughout the decision-making process to properly represent the spatial distribution of the features under analysis. This makes spatial Multi Criteria Decision Analysis (MCDA) a particularly interesting domain to explore new dimensions of cognitive biases. This study proposes a behavioral experiment aimed at discovering to what extent the spatial visualization (i.e. maps) of criteria versus the non-spatial one (i.e. tables) can bias the weight elicitation phase of a spatial MCDA process. The experiment simulates a very common analysis in environmental and land use planning: land suitability analysis. Our findings show that there are significant consequences on how important we perceive a certain criterion to be, depending on whether it is represented as a map or as a table among a mix of maps and tables. Indeed, the map representation of the same criterion leads to higher weights attributed to that criterion compared to the table representation. Visualizing the same information as a map or as a table, although technically equivalent, is thus not psychologically equivalent for Decision Makers. The results of this experiment are expected to have implications for spatial decision-making processes, by generating better awareness on the impacts of map-mediated land suitability analysis.     

The digital transformation of business models in the creative industries: A holistic framework and emerging trends

This paper examines how digital technologies facilitate business model innovations in the creative industries. Through a systematic literature review, a holistic business model framework is developed, which is then used to analyse the empirical evidence from the creative industries. The research found that digital technologies have facilitated pervasive changes in business models, and some significant trends have emerged. However, the reconfigured business models are often not ‘new’ in the unprecedented sense. Business model innovations are primarily reflected in using digital technologies to enable the deployment of a wider range of business models than previously available to a firm. A significant emerging trend is the increasing adoption of multiple business models as a portfolio within one firm. This is happening in firms of all sizes, when one firm uses multiple business models to serve different markets segments, sell different products, or engage with multi-sided markets, or to use different business models over time. The holistic business model framework is refined and extended through a recursive learning process, which can serve both as a cognitive instrument for understanding business models and a planning tool for business model innovations. The paper contributes to our understanding of the theory of business models and how digital technologies facilitate business model innovations in the creative industries. Three new themes for future research are highlighted.