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This paper aims to illustrate a new method to cluster consumer attribute preferences and to transform spontaneously written texts by consumers about a certain favourite food product (hamburger) into distinct preference clusters of attributes.

A new way of finding significant clusters of consumer attribute preferences is developed by means of a new text analytical approach (Pertex) and a multi‐step two‐sided cluster analysis procedure.

Clear linkages were ascertained between four respondent and four preference clusters for the two key product dimensions taste and ingredients of the hamburger.

Clusters expressed were in close conformity to the conception of the standard hamburger. Only one student sample (N=100) was used.

A new and practical method to transform written text into distinct consumer preferences (segments) was tested using a multi‐step cluster analysis to support food innovation in the food industry.

Product dimensions were integrated in a meaningful way into distinct preference clusters that could be used to segment consumers when innovating new food products.

The purpose of this paper is to focus on the need in biotechnology to integrate a variety of knowledge bases to build the intellectual asset base of the commercial entity operating in the biotechnology industry.

The paper is based upon a single case study of a young biotechnology company, itself relying on the knowledge and expertise of four directors. To analyze the responses of the four directors to a single lead question, designed to prompt the respondents to articulate the intellectual capital they offer to the firm, this study employs a novel text analytical tool known as Perspective Text Analysis (Pertex).

The results show the disparate nature of the individual knowledge sets in contributing to the interdisciplinary base of the firm. The combined analysis illustrates the importance of collective intellectual capital through “sustainable collaboration.”

This study employs a novel analytical tool to undertake an analysis of both individual intellectual capital and collective interdisciplinary contribution using data from a single question. Pertex is a valuable tool in analyzing the intentionality of a respondent by cutting through to the true essence of their response.

The paper is aimed at modelling the e‐competence of internet bank customers with a new text‐analytic method.

A web survey using a critical incident technique approach (CIT) and follow‐up interviews was used to sequentially capture verbal accounts of the very first experience of users of a particular internet bank. Text analyses were carried out from the complete set of responses to the trigger questions to synthesise user accounts of these experiences.

These verbal syntheses (as modelled by a Pertex text‐analytic approach) are purported to illustrate e‐competence. A diverging pattern of e‐competency was found. One group of customers was able to handle the web site and the other group felt abandoned and was not able to adopt technology.

The study comprised a limited sample of Danish first‐time internet bank customers. Therefore, generalisations should not be drawn as to the competencies of bank customers. Further research could encompass much larger and broader samples and be focused on a particular internet function or e‐service.

Findings suggest that some customer groups may have difficulties in applying new technology and that these groups may have special needs of support in the start‐up period.

The value of the paper is that it illustrates a new kind of text analysis that can summarise divergent texts and thereby distinguish between different kinds of user competence in a meaningful way.