.... There are three different types of bibliometric indicators including the following: Research methods Factor analysis Promotion Intention Cluster analysis Customer attitudes Perception of justice The past decade has seen a growing consideration of service failure and recovery issues...

... attributes. © Emerald Group Publishing Limited 2014 Cluster analysis Sustainability Consumer attitudes Conjoint analysis Product attributes While successful companies such as Ben and Jerry’s or Patagonia have embraced sustainable business practices as an important core value...

... cluster analysis of multivariate data, capturing employee performance, commitment and leadership from a large sample of banking employees, to identify and profile front line employee performance segments. As we are exploring the extent to which employees “live the brand” (Ind, 2004), our study...

...), and demographic variables. The analyses of the study proceeded in two stages. First, a cluster analysis uncovered auction shopper segments that emerged from the two dimensions of emotional shopping motivation. Second, regression analyses determined the predictive powers of demographic and psychographic variables...

... was then designed to collect data from internet users in four Western and four East Asian countries. Findings Based on a cluster analysis, six cross‐national market segments are identified and labelled “Positive Online Affectivists”, “Offline Affectivists”, “On/Off‐line Negative Affectivists”, “Online...

... of individual consumer habits, they are considered key market segmentation criteria. Raquel Chocarro Eguaras can be contacted at: raquel.chocarro@unavarra.es © Emerald Group Publishing Limited 2012 Cluster analysis Cognition Individual perception Wines Multinomial logit model Knowledge...

...‐marketing advertising across different segments of the overall target group. Gianfranco Walsh can be contacted at: walsh@uni‐koblenz.de © Emerald Group Publishing Limited 2010 European Union Cigarettes Advertising effectiveness Cluster analysis Cross cultural studies Sales campaigns...

... extending the findings of the qualitative research and validating the role of situational factors in instigating the commencement (and discontinuation) of online grocery buying. Cluster analysis is used to segment consumers based on the importance of specific types of situations. Findings Both...

.../methodology/approach Information from two communities is collected, following the customer‐centric model of brand community of McAlexander et al.. The relationship variables in this model are used as a segmentation basis in cluster analysis to identify various segments. Different kind of motivations...

... countries, each with culturally‐distinct features: France, Germany and the US. Underpinning the research are theoretically‐secured constructs of purchasing behaviour on the internet. Findings Cluster analysis confirmed the outstanding validity of a three‐cluster‐solution (97.7 per cent score) – risk...

.... Cluster analysis was used to generate a range of potential market structures on a set of managerially relevant variables. The most appropriate market structure was selected using scree testing and discriminant analysis. Each of the resulting six segments was named profiled. Finally, a set of patronage...

... is provided. Design/methodology/approach The paper is rooted in the theoretical framework of the “Contemporary Marketing Practices” project. Data about marketing practices are gathered with standardised questionnaires and groups of organisations are identified using cluster analysis, the gap criterion...

... sensitive, and price sensitive, are developed using principal components analysis and cluster analysis. The segments are profiled in terms of product characteristics,transport service characteristics, company demographics and control variables to facilitate the transport service marketing manager...

... on a set of preliminary in‐depth interviews and analyses the results using a cluster analysis. Results show the existence of four clusters: the first, where marketing is virtually non‐existent; the second and largest cluster, where companies are primarily production oriented; the third, where companies...

...Gerard P. Hodgkinson; Jo Padmore; Anne E. Tomes Multidimensional scaling and cluster analysis techniques are commonly employed for the analysis of consumer perceptions of products. However, within the past 10‐15 years, a growing volume of research has shown that the processes underlying...

...J.A. Saunders Examines the processes of cluster analysis and describes them using an example of benefit segmentation, and also discusses other applications suggesting new directions of research in related fields. Bases an example study with 200 early respondents to a survey into sixth formers...

...Martin Christopher Suggests that segmentation technology has become increasingly sophisticated in recent years and the role of multi‐dimensional techniques in marketing analysis is increasingly being recognised. Proposes that rather than segmenting a market by one or two criteria, cluster analysis...