Reflexive loops on scaling issues in landscape quality assessment

Though most landscape ecologists have integrated scaling issues in their works, these issues are often disregarded in landscape perception and preference studies. Researchers base their studies on a predefined single scale to assess the landscape, and they pay little attention to the scale specificity of their analysis and recommendations. We reconsidered three landscape assessment studies from our research unit in light of scaling issues. In addition to the scale of the assessed landscape, researchers should address the scale of the landscape surrogate that is submitted for assessment, including the spatial references of the people surveyed and the target level of application of the results. Indeed, many of the landscape assessment methods mix different landscape notions and scales. Therefore, we recommend the cautious use of these assessments, the integration of qualitative insights in addition tithe scoring and paying attention to the perception scale, as defined by Fairclough (2006).     

Using stated response choice data to enrich revealed preference discrete choice models

There is growing interest in exploring the view that both revealed preference (RP) and stated preference (SP) data have useful information and that their integration will enrich the overall explanatory power of RP choice models. These two types of data have been independently used in the estimation of a wide variety of discrete choice applications in marketing. In order to combine the two data sources, each with independent choice outcomes, allowance must be made for their different scaling properties. The approach uses a full information maximum likelihood estimation procedure of the hierarchical logit form to obtain suitable scaling parameters to make one or more data sets comparable. We illustrate the advantages of the dual data strategy by comparing the results with those obtained from models estimated independently with RP and SP data. Data collected as part of a study of high speed rail is used to estimate a set of illustrative mode choice models.     

The Application of the Guttman Scaling Procedure in the Measurement of Consumer Behaviour: A Marketing Myopia

Abstract

This aim of this paper is to introduce Guttman Scaling procedure for the assessment of consumer behaviour. It is suggested as a useful methodology particularly when the unidimensionality of the scale is of concern. An empirical case study, designed from the service quality literature, was presented in order to demonstrate a possible application. Further implications and the efficiency of this scaling method is also discussed.     

责任式创新研究的时空向度透视与知识框架建构

在科技社会深度融合发展的背景下,聚焦责任式创新,以2009―2020年WOS和CNKI数据库中879篇文献为样本,综合运用文献计量分析、因子分析和多维尺度分析,从时间和空间视角探索责任式创新研究的外部特征、热点内容、前沿趋势,并构建该领域知识框架。研究结果表明：①近12年国内外研究发文量总体呈上升趋势,但国内研究热度较低且尚处于初始阶段,国外科研合作网络紧密,积极推动该领域研究发展,同时该领域研究呈现跨学科特征,并逐渐形成学科交叉下的知识流动路径;②研究热点可分为4个方面,即内涵及理论框架构建研究,责任式创新与利益相关者参与研究,责任式创新跨界结合研究,责任式创新方法、实践及评估研究,研究前沿趋势可分为3个方面,即责任式创新与伦理规范研究、责任式创新与新兴技术治理研究、责任式创新的社会嵌入与政治议程研究;③基于因子分析和多维尺度分析,构建责任式创新的“情境―理论内涵―干预―机制―结果”CTIMO知识框架。最后,从责任式创新的制度情境、实践及扩散、利益相关者管理、组织层面评估等方面提出未来研究展望。     

Incentives for cattle producers to adopt an E. Coli vaccine: An application of best–worst scaling

E. coli O157:H7 is an important source of foodborne disease. The E. coli pathogen occurs naturally within the rumen of livestock (including cattle) and does not affect the health of the cattle, however, can be a source of cross-contamination during food processing or environmental contamination of drinking and irrigation water supplies. A vaccine to reduce the risk of cattle shedding E. coli is licensed for use in Canada and the US, however, adoption of the vaccine by cattle producers has been extremely low. Using data from a survey of cow–calf producers in western Canada, the influence of a set of thirteen incentives to encourage adoption of the vaccine is examined using Best–Worst Scaling. Incentives include policy interventions, market/supply chain incentives, production protocol incentives, and producer reputation incentives. Heterogeneity in producer responses to the incentives is evident and is further explored with a Latent Class Cluster analysis. Results suggest that a ‘one size fits all’ policy to encourage adoption of an E. coli vaccine by cattle producers may be challenging.     

Blitzscaling: The good,the bad,and the ugly

Today’s disruptive innovations are driving the creation of numerous billion-dollar startups. Venture capitalists focus on these potentially disruptive technology startups and fund them furiously, advancing their speed of growth. The idea is to scale fast and seek huge returns for investors. Terms that define this type of aggressive scaling have recently developed in Silicon Valley. Unicorn is defined as a venture with a value of $1 billion, while a decacorn describes startups with a value of $10 billion. Another recent term is blitzscaling: funding a venture for extremely fast growth and prioritizing speed over efficiency in an environment of uncertainty. While blitzscaling is being used heavily by investors in Silicon Valley, we look at exactly what comprises this new phenomenon and how it is used in practice. We examine the concept, its stages, and its prevalence before reviewing the different examples of how the strategy has been implemented for success (the good), cases of its failure in practice (the bad), and the extreme cases of ethical compromise by ventures (the ugly). From these cases, we draw specific lessons that, if understood and appropriately addressed, would help new ventures effectively implement the strategy.     

高新技术产业政策特征及演进趋势研究

为揭示高新技术产业政策特征及演进趋势，结合文献计量与内容分析法对199篇高新技术产业政策有效文本进行共现和聚类分析，得出高新技术产业政策在时空中的分类与演进关系，并采用多维标度法从多个维度分析政策内容的交叉特征。研究表明，高新技术产业政策在创新创业服务、科技成果管理、高新企业管理及高新区建设4个方面存在明显的主题变迁规律，且政策具有较强的内容交叉特征，这些特征的研究有利于管理部门看清政策的细微变化，更容易掌握政策形势，把握政策方向。     

Are all five points equal? Scaling heterogeneity in hotel online ratings

Online hotel ratings play a critical role in hotel online reputation building and greatly influence travelers’ decision making. However, self-reported online ratings are vulnerable to scaling heterogeneity due to reviewers’ unique response styles, leading to some incomparability issues. A research framework was developed based on latent state-trait theory and empirically tested using hotel online review data from TripAdvisor. A hierarchical ordered probit (HOPIT) model, which captured threshold differences in hotel online ratings, confirmed the presence of scaling heterogeneity and response styles in the online rating context. Results indicated that younger travelers, women, and travelers with less review expertise used lower thresholds when rating hotels online. Business travelers had the highest rating threshold compared to other types of travelers. Guests staying in high-class hotels tended to have more extreme response styles than those staying in low-class hotels. These findings offer valuable insights for hotel managers and online rating/review sites.     

Multidimensional Scaling Analysis in the Determination of Hotel Quality Dimensions–Patagonia,Argentina

ABSTRACT

The purpose of this study is to identify and select quality dimensions for high category hotels in Neuquén and Bariloche, Patagonia, Argentina.

The research starts with a battery of 28-quality indicators that was obtained from in-depth interviews with hotel managers, and guest surveys carried out in both locations.

Through a structured interview by filling cards, the research team finds out the dimensionality that groups the hotel service quality items. Multidimensional scaling and hierarchical cluster analysis are used to explore the items grouping pattern and to define resulting quality dimensions. An empirical content validated scale for the construct “perceived service quality in hotels” is attained. Its three dimensions are “Physical support and hotel general services quality,” “Room quality” and “Employee service quality.”