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There are signs that leisure is becoming increasingly important in contemporary working lives. This paper seeks to contribute to the career literature by examining how work and leisure can operate as allies.

Qualitative data from fieldwork engaging with hotel employees located within the tourist resort of Queenstown, New Zealand are used to explore the positive interdependencies between work and leisure for both the leisure‐orientated employee and the hotels.

The results suggest that skiing‐orientated employees are able to engage in skiing due to the money and time resources they receive from their hotel employment. At the same time, hotels have access to a seasonal, non‐standard work‐time and leisure competent labour pool as a result of the employees' orientation and participation in skiing.

The results support the existence of a leisure‐orientated career identity that conforms to the contemporary individualistic revision of career. In addition, the results emphasise the significant impact that the employment relationship, industry setting and geographic location have on the leisure‐work relationship.

The purpose of this paper is to present an analytical method through which a political analysis of intra and inter-organizational conflicts may be conducted.

The iterative method of data analysis the paper presents is based on a consolidation of work using Laclau and Mouffe’s discourse theory across both management and organization and social science disciplinary domains.

While the politically orientated discourse theory of Laclau and Mouffe has begun to be used by management and organization researchers, little guidance is available for how to actually conduct the analysis of data using this discourse approach. The method the paper proposes involves making explicit an analytical process for reading available textual data.

The value of this paper is primarily for management and organization researchers who are attracted to discourse theory but feel intimidated or confused about how to operationalize this theory into data analytic practice.