Using clustering of rankings to explain brand preferences with personality and socio-demographic variables

The primary aim of market segmentation is to identify relevant groups of consumers that can be addressed efficiently by marketing or advertising campaigns. This paper addresses the issue whether consumer groups can be identified from background variables that are not brand-related, and how much personality vs. socio-demographic variables contribute to the identification of consumer clusters. This is done by clustering aggregated preferences for 25 brands across 5 different product categories, and by relating socio-demographic and personality variables to the clusters using logistic regression and random forests over a range of different numbers of clusters. Results indicate that some personality variables contribute significantly to the identification of consumer groups in one sample. However, these results were not replicated on a second sample that was more heterogeneous in terms of socio-demographic characteristics and not representative of the brands target audience.     

Ranking the Risks from Multiple Hazards in a Small Community

Natural hazards, human-induced accidents, and malicious acts have caused great losses and disruptions to society. After September 11, 2001, critical infrastructure protection has become a national focus in the United States and is likely to remain one for the foreseeable future. Damage to the infrastructures and assets could be mitigated through predisaster planning and actions. A systematic methodology was developed to assess and rank the risks from these multiple hazards in a community of 20,000 people. It is an interdisciplinary study that includes probabilistic risk assessment (PRA), decision analysis, and expert judgment. Scenarios are constructed to show how the initiating events evolve into undesirable consequences. A value tree, based on multi-attribute utility theory (MAUT), is used to capture the decisionmaker's preferences about the impacts on the infrastructures and other assets. The risks from random failures are ranked according to their expected performance index (PI), which is the product of frequency, probabilities, and consequences of a scenario. Risks from malicious acts are ranked according to their PI as the frequency of attack is not available. A deliberative process is used to capture the factors that could not be addressed in the analysis and to scrutinize the results. This methodology provides a framework for the development of a risk-informed decision strategy. Although this study uses the Massachusetts Institute of Technology campus as a case study of a real project, it is a general methodology that could be used by other similar communities and municipalities.     

The joint distribution and moments of an extreme of the dependent variable and the concomitant of an extreme of the independent varible

We shall in the present paper deal with the basic problem indicated in the title which we encounter when performing regression analysis with order statistics and concomitants. Numerical results of the product-moments will also be presented.     

The effectiveness of coach turnover and the effect on home team advantage,team quality and team ranking

The effectiveness of coach turnover on team performance is widely discussed in the literature due to the indirect impact of a team's performance on a club's revenues. This study examines the effect of coach turnover within a competition season by focusing on the change in team quality and the change in home team advantage under the new coach. The change in team quality or home team advantage can vary according to the team (team specific) or might be an independent quantity (non-team specific). We estimated nine possible regression models, given no change, team-specific change and non-team-specific change in quality or home team advantage. The data are the match results of Belgian male soccer teams playing in the highest national division during seven seasons. Results point to a team-specific effect of a new coach on a team's quality. This article further contributes by evaluating the new coach's success with regard to whether his ability to improve team quality also results in a better position of the team in the final ranking. A new coach will be able to improve the ranking of the team if the improved team quality under the new coach renders a positive team quality.     

Building a short-term production planning system for flexible manufacturing systems: an integration viewpoint

From the viewpoint of integration, the production objective of flexible manufacturing systems (FMS) should follow results of MRP/CRP. Thus, the planning goal of short-term production planning (STPP) is to satisfy quantity and due date requirements determined by MRP/CRP. The STPP of FMS should cover part type selection, production ratio, process selection, process ratio, resource allocation, machine grouping, routing mix and loading problems.

A STPP system is built to solve the STPP problem of an FMS having multiple machine types, each with multiple m.'ichinc units. This system adopts a variable-period flexible planning approach, using part mix and process selection flexibilities to solve STPP problems. It also provides flexibilities in its operations sequence and in the machine routing to the dynamic operation planning system.     

基于《中国大学评价》的长江大学排名比较分析

以《中国大学评价》的相关资料为依据,对长江大学的排名进行比较分析,可为长江大学开展战略管理和年度发展评价提供新的视角与办学参考。     

2007黑龙江企业50强总体情况分析

《黑龙江企业50强排行榜》是黑龙江省唯一一个企业综合实力排行榜。研究分析50强企业的总体情况,对黑龙江省做好大企业研究工作,全力为政府和企业提供信息和建议,培育出一批拥有自主知识产权和知名品牌、在国内和国际拥有较强竞争力的优势企业具有重大作用。结合黑龙江企业50强排序工作的实践,采用数据分析的方法,从在黑龙江省经济发展中的作用、规模成长性、效益成长性、企业组织能力、所有制结构等五个方面,对2007黑龙江企业50强的总体情况进行了分析。指出黑龙江50强企业在黑龙江省经济发展中发挥着重要作用,但企业之间经济效益相差悬殊、利润分布不均衡、资本支配能力降低、资本密集程度降低等问题,也需要予以关注。     

模糊数的排序及其在系统决策中的应用

建立了模糊数的两种排序方法 ,给出了相应的决策模型及其实际应用 .为了度量决策模型的可靠性 ,引入了可信度的概念及计算公式 .     

A Deliberative Method for Ranking Risks (I): Overview and Test Bed Development

Risk ranking offers a potentially powerful means for gathering public input to help set risk-management priorities. In most rankings conducted to date, the categories and attributes used to describe the risks have varied widely, the materials and procedures have not been designed to facilitate comparisons among risks on all important attributes, and the validity and reproducibility of the resulting rankings have not been assessed. To address these needs, a risk-ranking method was developed in which risk experts define and categorize the risks to be ranked, identify the relevant risk attributes, and characterize the risks in a set of standardized risk summary sheets, which are then used by lay or other groups in structured ranking exercises. To evaluate this method, a test bed involving 22 health and safety risks in a fictitious middle school was created. This article provides an overview of the risk-ranking method and describes the challenges faced in designing the middle school test bed. A companion article in this issue reports on the validity of the ranking procedures and the level of agreement among risk managers regarding ranking of risks and attributes.     

Ecological Risk Ranking: Development and Evaluation of a Method for Improving Public Participation in Environmental Decision Making

This article reports an extension of the Carnegie Mellon risk-ranking method to incorporate ecological risks and their attributes. On the basis of earlier risk-perception studies, we identified a set of 20 relevant attributes for describing health, safety, and environmental hazards in standardized risk summary sheets. In a series of three ranking sessions, 23 laypeople ranked 10 such hazards in a fictional Midwestern U.S. county using both holistic and multiattribute ranking procedures. Results were consistent with those from previous studies involving only health and safety hazards, providing additional evidence for the validity of the method and the replicability of the resulting rankings. Holistic and multiattribute risk rankings were reasonably consistent both for individuals and for groups. Participants reported that they were satisfied with the procedures and results, and indicated their support for using the method to advise real-world risk-management decisions. Agreement among participants increased over the course of the exercise, perhaps because the materials and deliberations helped participants to correct their misconceptions and clarify their values. Overall, health and safety attributes were judged more important than environmental attributes. However, the overlap between the importance rankings of these two sets of attributes suggests that some information about environmental impacts is important to participants' judgments in comparative risk-assessment tasks.