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This literature review is on advanced computer analytics, which is a major trend in the field of Human Resource Management (HRM). The authors focus specifically on computer-assisted text analysis (CATA) because text data are a prevalent yet vastly underutilized data source in organizations. The authors gathered 341 articles that use, review, or promote CATA in the management literature. This review complements existing reviews in several ways including an emphasis on CATA in the management literature, a description of the types of software and their advantages, and a unique emphasis on findings in employment. This examination of CATA relative to employment is based on 66 studies (of the 341) that bear on measuring constructs potentially relevant to hiring decisions. The authors also briefly consider the broader machine learning literature using CATA outside management (e.g., data science) to derive relevant insights for management scholars. Finally, the authors discuss the main challenges when using CATA for employment, and provide recommendations on how to manage such challenges. In all, the authors hope to demystify and encourage the use of CATA in HRM scholarship.

To provide a small overview of genre theory and its associated concepts and to show how genre theory has had its antecedents in certain parts of the social sciences and not in the humanities.

The chapter argues that the explanatory force of genre theory may be explained with its emphasis on everyday genres, de facto genres.

By providing an overview of genre theory, the chapter demonstrates the wealth and richness of forms of explanations in genre theory.

Attitudes, perceptions, and intentions of a firm's customers, which can be captured via customer feedback metrics (CFMs), provide valuable information about the state of a firm's customer base. CFMs can help capture the impact of marketing actions on future customer behavior and future firm performance, and thus can help make marketing become more accountable. CFMs have received much attention in marketing research and business practice since the 1970s. In this chapter, we provide a short historical overview of the development of, and research about, CFMs, we classify the different types of CFMs, we highlight the empirical findings of the drivers and consequences of CFMs, and we explore how CFMs can be integrated in a firm's customer dashboard in order to make marketing more accountable. We furthermore explore some of the challenges in accurately measuring CFMs, and in the end of this chapter, we provide information on how to capture CFMs in the age of social listening via modern tools involving text-, voice-, and video-mining.

Purpose – This chapter examines an episode of pretend play amongst a group of young girls in an elementary school in Australia, highlighting how they interact within the membership categorization device ‘family’ to manage their social and power relationships.

Approach – Using conversation analysis and membership categorization analysis, an episode of video-recorded interaction that occurs amongst a group of four young girls is analyzed.

Findings – As disputes arise amongst the girls, the mother category is produced as authoritative through authoritative actions by the girl in the category of mother, and displays of subordination on the part of the other children, in the categories of sister, dog and cat.

Value of paper – Examining play as a social practice provides insight into the social worlds of children. The analysis shows how the children draw upon and co-construct family-style relationships in a pretend play context, in ways that enable them to build and organize peer interaction. Authority is highlighted as a joint accomplishment that is part of the social and moral order continuously being negotiated by the children. The authority of the mother category is produced and oriented to as a means of managing the disputes within the pretend frame of play.