Determination of derived importance of a tourism destination: A comparison of indirect methods

Two types of attribute importance, stated and derived, have been studied in marketing and tourism studies using Importance-Performance Analysis (IPA). Derived importance is thought to have an advantage over stated importance in reducing survey fatigue and social desirability biases, and thus is more predictable to an outcome variable. Derived importance is also used in a Relevance-Determinance Analysis to determine higher-impact core attributes or in an Importance Grid Analysis to explore the asymmetric relationship between attributes and overall satisfaction. Since derived importance is usually estimated through statistical methods, it is necessary to determine which method is the most appropriate. However, few studies have examined the appropriateness of indirect methods. To fill this research void, this paper judges the appropriateness of three statistical methods (i.e. multiple regression, partial correlation, and simple regression) based on data collected from Savannah, GA, using a new approach by which results of derived importance were compared against diagnostic attributes in the “keep up the good work” quadrant of IPA. Diagnostic attributes are attributes with higher stated importance and higher predictability of an outcome variable. Results show that urban forests and cultural heritage are such attributes, and simple regression is the best to infer attribute importance.     

Why We Should Change Our Attitude Towards Distressed Firms

This article surveys ‘creditor‐friendly’ and ‘enterprise‐friendly’ bankruptcy regimes with a focus on the methodology underlying the filter test in distress, as reflected both in its academic treatment and in legal practice. I find that the test exhibits pro‐liquidation bias in designating liquidation of a firm with recovery potential as the Type II error, and in underplaying the benefits of a possible turnaround. Further influences militating against continuation include the power conferred on creditors through the balance sheet criterion and the undervaluation of intangible assets. I make the case for reversing such biases to establish a presumption in favour of continuation.     

Prioritising alternatives for sustainable end-of-life vehicle disassembly in China using AHP methodology

The projection on Chinese increasing end-of-life vehicle (ELV) volumes indicates that the volume in 2020 will be about threefold that in 2015. The issue of scrapping vehicle upsurge relative to capacity crunches and environmental impacts perplexes Chinese dismantlers and it is intractable and urgent to choose an appropriate dismantling mode. The purpose of this study is to prioritise four potential dismantling modes and provide decision-making reference for dismantlers with a view to such criteria as environmentally sustainable considering constraints involving economy, technique, ecology and flexibility over changing condition. The conducted evaluation by the analytical hierarchy process (AHP) methodology takes sensitive and problematic aspects into account through questionnaires. The whole evaluation process supported by expert preferences, provides a simple and intuitive knowledge to construct arguments for ELV decision-making process. Results show that disassembly line involves the highest global weight of 0.363 and is concluded to be the best compromised ecological alternative.     

A decision support model for buying battery electric vehicles considering consumer learning and psychological behavior

Developments in battery electric vehicles (BEVs) have received more and more attentions in the last decades due to alleviating carbon emissions and energy crisis. Consequently, how to rank alternative BEVs to assist consumers make better purchasing decisions is a worthy research study. However, there are still some defects in the existing studies for ranking of BEVs: 1) the evaluation index system of BEVs is not comprehensive; 2) the determination of criteria weights cannot be well applied to the actual purchase scenarios; and 3) the psychological behavior of consumers is ignored. To address those shortcomings, this paper proposes a decision support model to assist with consumers to buy BEVs. First, a systematic evaluation criteria system of BEVs including quantitative and qualitative indicators from parameter configurations and online reviews is constructed. Then, a weight algorithm considering consumer learning is proposed to determine the criteria weights. Furthermore, a decision support process considering consumers' regret avoidance behavior is proposed. Finally, an actual BEV purchase case is given to illustrate the practicability of the decision support model. This can be seen in case studies the proposed support model can be well applied to consumers with different regret avoidance behaviours.     

Examination of Multiple Criteria in Health Technology Assessment for Application to Instrumental Analysis

Abstract:

The instrumental-ceremonial dichotomy is the analytical concern emphasized in instrumental analysis by original institutional economists for making welfare decisions. Paul Dale Bush and Wolfram Elsner explained that warranted criteria are required in order to conduct instrumental analysis. The concern for criteria led to an examination of multiple criteria decision analysis in health technology assessment in order to improve instrumental analysis. Health technology assessment (HTA) is one of the most active and extensive areas of analysis for policy making because medical technology changes very rapidly, expenditures on it are high and growing, it can harm as well as help, and there is intense personal concern by citizens who want wellness. Although HTA, especially with regard to the analysis of multiple criteria, has made considerable progress, its appraisal has been a disappointment. Thus, the purpose of this paper is to critique aspects of multiple criteria HTA in order to further develop instrumental analysis.     

新时代中国城市土地集约利用若干问题的再认识

研究目的：基于中国城市土地集约利用研究现状，面向新时代要求，重新审视与厘清城市土地集约利用理论认知、评价标准、影响机制和优化调控等基本问题，为中国土地集约利用的理论完善和实践创新提供支撑。研究方法：理论分析法和推理演绎法。研究结果：（1）城市土地集约利用在理论认知上应由“三个阶段”转向“三个时期”；（2）城市土地利用集约度的评价标准应由静态指标转向动态耦合；（3）城市土地集约利用的影响机制研究应由封闭区域转向关联传导；（4）城市土地集约利用优化调控策略应由极限集约转向最优集约。研究结论：进入新时代，城市土地集约利用理论上可实现“不增地，多增效”甚至“地减量，效增加”，未来相关研究应重点关注存量和减量规划中建设用地与经济发展之间关系的变化特征，以及国土空间规划与土地利用计划管理改革下新的城市土地集约利用问题。国家相关规程中的集约评价标准须结合区域发展阶段进行“匹配性”修正，政策制定要考虑区域间的“关联性”和“传导性”进行精准化设计，治理方案应按照最优集约度的“动态性”进行差异化调控。     

跨文化背景下商业广告设计的视觉元素关注度研究——以餐饮类平面广告为例

本文以餐饮类平面广告为实验材料,研究了中国和美国被试者对平面广告中的图形、色彩、文字、编排及构图等视觉元素的关注度。本研究从文化认知理论出发,以文化认知差异为前提,探寻了东西方族群对商业广告中出现的视觉信息的不同处理方式。以商业广告中视觉设计的原则为标准,解构了平面广告设计中的视觉构成元素并进行一一比较,得出商业平面广告设计中中美两国被试者的视觉元素关注度差异。最终获取了各种视觉元素的评估结果和相对权重,形成了商业图形广告设计元素关注度的先后顺序。这一实验结果对跨文化认知心理理论在跨国广告设计中的应用有借鉴和启发作用,可以为跨国公司和设计师提供技术指导,设计出更符合消费者需求的商业广告。     

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.     

Performance Measures in Dose-Finding Experiments

In the first phase of pharmaceutical development, and assuming that the probability of positive response increases with dose, the main statistical goal is to estimate a percentile of the dose–response function for a given target value $\mathrm{\Gamma }$. We compare the Maximum Likelihood and centred isotonic regression estimators of the target dose and we discuss several performance criteria to assess inferential precision, the amount of toxicity exposure and the trade-off between them for a set of some exemplary adaptive designs. We compare these designs using graphical tools. Several scenarios are considered using simulation, including the use of several start-up rules, the change of slope of the dose-toxicity function at the target dose and also different theoretical models, as logistic, normal or skew-normal distribution functions.     

Commodities and Macroeconomic Factors: Unconditional Volatility Measures

Abstract:

This study focuses on the measurement of spillover effects from macroeconomic factors to commodity volatility. It argues that such measurement is sensitive to volatility computation and to causality testing. To this end, I analyze two commodity data sets-gold and the Continuous Commodity Index (1969-2011), and twenty-four Dow Jones futures indexes (1991-2011)-and various macroeconomic indicators. I conclude that the macroeconomic factors that influence volatility generally depend on the commodity under consideration. I also explore whether commodities of the same class experience volatility shifts around the same dates, and find that this is not the case except for energy commodities.