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The purpose of this research is to extend the results of previous studies regarding corporate reputation scales and identify new and specific items relevant for studying global corporate reputation from a customer’s point of view.

This research was based on the qualitative projective “Album on Line” (AOL) technique. The authors used a sample of 12 French consumers distributed equally between affective and cognitive scenarios. An individual-difference multidimensional scaling approach (INDSCAL) was applied to display the overall semantic space among generated items.

The exploratory AOL approach generated 62 items related to both cognitive and affective orientations characterizing online and offline corporate reputation. The results uncovered six semantic clusters for each scenario. All in all, seven new items could be added in the process of building a new global corporate reputation measurement scale by adding: avant-garde, singularity, exclusivity, savings, return policy, freeness and speed.

This research makes it possible to propose a new global corporate reputation measurement scale with sound psychometric properties. This scale will be adapted for click and mortars and pure players. This paper unlocks future perspectives by suggesting a causal model that integrates online corporate reputation and its main antecedents and consequences.

From a managerial perspective, this research offers insights to managers with the main orientations surrounding the components of global corporate reputation. Moreover, the AOL mappings delineate which quadrants the managers would like to be fitted into or avoid, and hence define more precisely which key elements should be stressed or discarded.

This research outlines AOL, an original qualitative projective technique that can be used to understand customers’ thoughts, which are stocked and collected as images. Moreover, this research intends to analyze the gathered data using both INDSCAL and fuzzy k-means cluster analysis to reduce conventional biases related to subjectivity.

This paper validates the customer contact measurement model by performing a replication using three different sample groups. The impact of customer, managerial, and cultural differences is examined. Findings indicate that all validation groups use similar variables when defining the customer contact construct. The measurement model is robust when compared to US customer and managerial validation groups. However, the applicability across culture is questioned.

Several studies have reported on psychometric and factor‐analytic work related to the team climate inventory (TCI), including its four scales and 13 subscales. This exploratory study reports on the first research to examine team typologies based on team climate scores. The TCI was administered twice to 84 and 63 self‐managed teams of management undergraduates completing graded term projects. Following each TCI administration, a two‐stage clustering procedure (Ward’s and K‐means) was used to determine the number and team composition of clusters. Clusters were then plotted on the multidimensional space (INDSCAL) and a discriminant analysis performed to determine how well cluster membership was predicted using scores from the 13 TCI subscales. At the first TCI administration, three weeks into the term projects, the study obtained three team clusters on a two‐dimensional space. Near the end of the term projects, the study found two team clusters on a two‐dimensional space. Implications are presented for team building, interventions to improve team climate and management training.

Attention has been paid recently to the retail‐consumer link in the distribution channel. The importance of this attention, both for the retailer's revenues and the consumer's satisfaction, is obvious, but the way in which this link should be modelled is not obvious. A critical component for any such model is a measure of retail‐consumer separation or distance. In this article a measure of cognitive distance is proposed and evaluated with encouraging results.

This paper aims to measure new product success within a Dutch mailing company and to hypothesize that there exists no definition of new product success which is generally applicable, or valid in all circumstances. It seeks to opine that the best that can be achieved is a “local” definition: a definition valid only in a specific local context. In this article, a method is described on how to develop such a local measure.

To prevent this framing bias, a multidimensional scaling approach is used, in which data collection and analysis have relevant new product success features as output instead of input.

The method was applied to a Dutch mailing company, and it was found that in this case only two dimensions of new product success were prevalent. These were ROI and customer acceptance. From this, it was inferred that local valid measures in this particular situation were only a subset of all measures of new product success mentioned in the literature. Originality/value – In summary, the method used could shed light on the difficulties that sometimes do arise when different parties are working together. As a consequence, not only researchers but also practitioners should become aware of the indefiniteness of the concept of new product success.

Examines the use by marketing researchers of a set of techniques, originally developed in mathematical psychology, and termed multidimensional scaling or MDS. States that MDS techniques can operate on a variety of different types of data — they have a common set of objectives and these are examined. Puts forward that MDS techniques seek to represent these relationships in a spatial configuration or model, so that the relationships between brands and variables can be used to aid product positioning and respondents' product requirements can be used as a basis for market segmentation. Proffers that identification of brand images has been approached from two broad directions — the aggregative approach and the disaggregative approach, and goes on to explain these terms and uses in full. Highlights types of scaling and relevant data involving three types of scaling: stimulus space generation; dimension identification; and joint space analysis, discussing these in greater detail. Summarises by stating there remain certain technical problems and limitations of MDS that require further investigation and that results are not always as clear‐cut as examples cited.

Multidimensional scaling (MDS) has often been utilised in retail store positioning and repositioning research. However, MDS results constrain store movement to existing perceptual dimensions. This work indicates that an assessment of higher level preference functions should be conducted before utilising MDS results in store positioning. Despite this limitation, the ability of MDS to reveal current perceptual criteria means that it can serve as a very useful diagnostic. In this regard, MDS can be utilised to determine if a new dimension has emerged from a given positioning, or whether consumers have changed the salience of their perceptual criteria, as a result of a positioning. It can also reveal if a referent store has moved in the appropriate direction (e.g. away from competitors and towards a gap that evidences utility).

Shows how, in researching new brands, it is important for the investigator to assess the existing market, to determine how consumers perceive brands and the nature of consumer preferences. States that because consumers are heterogeneous in their perceptions and preferences a spread of techniques have been proposed to analyse this problem. Posits that multidimensional scaling has some unique advantages and illustrates that there are practical applications of this set of techniques and points out their strengths and limitations in new product planning. Concludes that most brands compete in well‐established markets and suggests that multi‐dimensional scaling offers a useful approach to the brand‐positioning problem.

How do individuals structure their knowledge? How does this structure vary as a function of training? What are individuals’ implicit theories of personality? How do individuals perceive their organizational culture? These are all important questions facing occupational/organizational psychologists. Describes the technique of multi‐dimensional scaling (MDS) analysis and shows how it might be applied to these questions.

In the literature on relationships, many important aspects such as relationship outcomes (e.g. relationship quality, customer satisfaction) (Holmlund & Kock, 1995; Crosby, Evans, & Cowles, 1990; Homburg & Rudolph, 1997), antecedents (e.g. power, trust, commitment) (Kaufmann & Dant, 1992; Doney & Cannon, 1997; Morgan & Hunt, 1994), or the structure of relationships (e.g. processes, organizational approaches) (Parvatiyar & Sheth, 2000; Homburg, Workman, & Jensen, 2000) have been discussed as well as analyzed empirically.