Challenges faced by world tourism cities – London’s perspective

World tourism cities perform multiple functions and exhibit various characteristics that influence tourism development within their boundaries. They are the main gateway for tourists visiting a country and their success has a direct impact on the visitor economy of that destination. London, the focus of this research, has been one of the world’s top tourism cities for many years, and a key gateway for domestic and international visitors. But despite the important role tourism plays in the economy of the city, there is limited research on the development of this activity in the capital. Using London as an exploratory case study, this paper contributes to better understanding the challenges faced by policy makers when planning and managing tourism in world cities. The adopted research method offers the advantage of gathering insightful information using multiple data collection techniques. Examining this new evidence contributes to expanding the knowledge on the particularities of tourism development in one of the top world cities, which could help policy makers in their efforts to better prepare for potential challenges faced by these complex but important destinations.     

Leader‐Member Exchange Relationships and Follower Outcomes: The Mediating Role of Perceiving Goals as Invariable

In the present study, we investigated whether perceiving goals as invariable mediated the link between leader‐member exchange (LMX) relationships and role overload, turnover intention, and work performance. Perceiving goals as invariable refers to the extent to which followers believe that the goals in a performance management system represent the absolute standards that they must meet without exception, even if they think other factors are more important (e.g., situational factors or factors that are not associated with goals). In Study 1, perceiving goals as invariable mediated the relationships between LMX and role overload and turnover intention, such that a high‐quality LMX relationship was negatively associated with perceiving goals as invariable, which in turn was positively related to both role overload and turnover intention. In Study 2, social LMX was negatively associated and economic LMX was positively associated with perceiving goals as invariable, which in turn was negatively related to work performance. Furthermore, perceiving goals as invariable mediated the relationship between social LMX relationships and work performance. Theoretical and practical implications and directions for future research are discussed. © 2017 Wiley Periodicals, Inc.     

Using the Pack‐and‐a‐Half Rule to Eliminate Backroom Inventories in Retail Operations

In the retail industry, backroom inventories are typically associated with higher labor costs and greater operational complexity. Thus, retailers look for ways to eliminate backroom inventories. A heuristic used for this purpose is the pack‐and‐a‐half rule which suggests that the shelf space allocated for a product should be at least 50% larger than the case pack quantity in which the product is delivered. Despite its popularity among retailers, the pack‐and‐a‐half rule has been ignored in the academic literature. We introduce the pack‐and‐a‐half rule, assess its impact on a retailer's profits, identify cost, demand, and product characteristics driving this impact, and propose a modification. Based on an analysis of data obtained from a retailer on 1,986 SKUs in 20 categories, we find that the pack‐and‐a‐half rule decreases a retailer's profits, on average, by 10% when applied uniformly across all SKUs. Further, this decrease is significantly affected by product depth, product width, demand elasticity, case pack quantity, and inventory carrying cost. Finally, we develop a set of modifications based on these variables where the pack‐and‐a‐half rule is applied selectively and in a stepwise fashion. These modifications limit the decrease in a retailer's profits to a range between 6% and 7%.     

耕地流转与规模经营改善了农业环境吗？ ——基于耕地利用行为对农业环境效率的影响检验

研究目的:基于2007—2016年26省农业生产数据,测算"面源污染"和"碳排放"两类非期望产出下的农业环境效率,构建"耕地流转—利用规模—利用方式与利用强度—农业环境效率"的传导路径并进行计量检验。研究方法:超效率SBM模型,中介效应模型。研究结果:(1)耕地流转并未显著提高农业环境效率,但耕地利用规模对农业环境效率的影响呈倒U型;(2)耕地流转有助于扩大耕地利用规模,进而在样本中对农业环境效率呈现负向影响。与此同时,耕地流转对农业环境效率也存在正向的直接效应,正负效应基本抵消;(3)耕地利用规模主要通过改变化肥和机械投入强度进而负向影响农业环境效率。研究结论:农业环境效率受耕地流转、利用规模、利用方式和强度等多重因素影响,呈现明显的传导路径,因此,为了提高农业环境效率,在积极推行土地流转和规模化经营政策时,要注意结合地区农业生产力和地理环境,避免盲目扩大经营规模,同时鼓励规模经营主体引进农业绿色环保技术,注重农业生产资料的合理利用。     

Unleashing the Power of Networks: Shareholder Activism,Sustainable Development and Corporate Environmental Policy

In recent years, a new trend has emerged in which shareholder activists have formed networks to empower shareholders and magnify shareholder voices. This study explores the structural patterns and effectiveness of shareholder activism networks and shows how those networks affect corporate sustainability policies. We draw upon stakeholder influence theory, stakeholder network management theory and recent studies on activism networks to examine a shareholder activism network formed around environmental issues. The study found that (1) the structure of shareholder activist networks is largely driven by organizational attributes such as organization type, organizations’ human resources, media visibility and history; and (2) activist organizations with high centralities and eigenvector centralities enjoy more efficient results. This study contributes to our understanding of the business responses to shareholder demands on improving environmental performance and paves the way for future research on sustainable development through partnerships with shareholder networks. Copyright © 2017 John Wiley & Sons, Ltd and ERP Environment     

水资源管理的供给侧结构性改革研究

根据供给侧结构性改革的背景和基本内涵,对水资源供给侧结构性改革的内涵进行研究,提出了狭义和广义的水资源供给侧结构性改革的内容。在分析水资源需求新形势的基础上,提出了水资源供给侧结构性改革的要求。根据水循环理论提出了水资源管理是推动水资源供给侧结构性改革的重要抓手,并在最严格水资源管理制度的基础上,提出了符合水资源供给侧结构性改革要求的水资源管理制度。     

Using methods of Multi-Criteria Decision Making to provide decision support concerning local bioenergy projects

The public sector plays an important role in the German “Energiewende”. Besides energy management in municipal properties the local government can also support the switch to renewable energy sources through a change in energy supply structures within in their region. Methods of Multi-Criteria Decision Making (MCDM) from Operations Research are helpful regarding that challenge, as they are able to assess the sustainability of local energy concepts, since they not only offer stakeholders the opportunity to participate, but also consider multiple conflicting criteria. In that way, the acceptance of local energy projects and the participation of stakeholders in the decision process are supported. The case study presented in this paper illustrates the results of a MCDM process employed to identify a sustainable bioenergy concept in a rural village in Lower Saxony, Germany. Our analysis revealed not only the opportunities and challenges associated with executing an MCDM process to support the realization of local bioenergy projects, but also discusses potential limitations of the methods.     

Fuel consumption for various driving styles in conventional and hybrid electric vehicles: Integrating driving cycle predictions with fuel consumption optimization*

Improving fuel economy and lowering emissions are key societal goals. Standard driving cycles, pre-designed by the US Environmental Protection Agency (EPA), have long been used to estimate vehicle fuel economy in laboratory-controlled conditions. They have also been used to test and tune different energy management strategies for hybrid electric vehicles (HEVs). This paper aims to estimate fuel consumption for a conventional vehicle and a HEV using personalized driving cycles extracted from real-world data to study the effects of different driving styles and vehicle types on fuel consumption when compared to the estimates based on standard driving cycles. To do this, we extracted driving cycles for conventional vehicles and HEVs from a large-scale U.S. survey that contains real-world GPS-based driving records. Next, the driving cycles were assigned to one of three categories: volatile, normal, or calm. Then, the driving cycles were used along with a driver-vehicle simulation that captures driver decisions (vehicle speed during a trip), powertrain, and vehicle dynamics to estimate fuel consumption for conventional vehicles and HEVs with power-split powertrain. To further optimize fuel consumption for HEVs, the Equivalent Consumption Minimization Strategy (ECMS) is applied. The results show that depending on the driving style and the driving scenario, conventional vehicle fuel consumption can vary widely compared with standard EPA driving cycles. Specifically, conventional vehicle fuel consumption was 13% lower in calm urban driving, but almost 34% higher for volatile highway driving compared with standard EPA driving cycles. Interestingly, when a driving cycle is predicted based on the application of case-based reasoning and used to tune the power distribution in a hybrid electric vehicle, its fuel consumption can be reduced by up to 12% in urban driving. Implications and limitations of the findings are discussed.     

人力资源管理实践对制造企业转型升级的影响——基于泉州企业的实证研究

构建人力资源管理实践行为策略影响制造业转型升级的理论模型，以327家泉州制造企业为研究对象，通过问卷调查和结构方程模型分析,检验人力资源管理实践对制造企业转型升级的作用机制。结果表明，人力资源管理实践行为策略对企业转型升级具有显著的影响，组织创新气氛在两者之间起到部分中介作用。说明制造企业可以通过工作设计与人力资源规划、员工招聘与选择、员工培训与开发、绩效评价及薪酬与激励等策略的调整来促进企业转型升级。