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This chapter takes the form of an open feminist letter, a complaint and a manifesto presented to the Critical Management Studies (CMS) Academy. It is posted with urgency at a time when Patriarchy is resurging across the globe. My complaint is against the misogyny and the moral injury done to all of us and to our participants through our detached, disembodied, non-relation, pseudo-objective, masculine ways of becoming and being CMS scholars. Drawing on the thinking of Hélène Cixous, I offer five gifts as strategies to break with the masculine reckoning and open up our scholarship to féminine multiplicity and generativity: loving not knowing, return to our material bodies, rightsizing theory, knowledge made flesh-to-flesh and women’s writing. I visit, and suggest our scholarship will benefit from visiting, Cixous’s School of the Dead and her School of Dreams. I advocate for social theatre/performative auto/ethnography as a way to effect change in organisations. Finally, I present a manifesto for women’s writing that can help take our scholarship ‘home’ and contribute to the creation of flourishing organisations. This letter is a Call to Arms.

“Dirty work” is an embodied, emotional activity, and may best be expressed through narrative thick description. The purpose of this paper is to employ creative analytic techniques through a “messy text” for better understanding the tacit knowledge and emotionality of dirty work and dirty research. The vignettes, based upon ethnographic fieldwork with US Border Patrol agents, viscerally reveal the embodied emotions of dirty work and doing dirty research.

The research draws on a two and a half year ethnography of the US Border Patrol in which the first author engaged in participant observation, shadowing, and interviews. Based upon the iterative data analysis and narrative writing techniques using verbatim quotations and field data, the essay provides a series of vignettes that explore the multi-faceted feelings of dirty work.

Tacit knowledge about dirty work is unmasked and known through experiences of the body as well as emotional reactions to the scene. A table listing the emotions that emerged in these stories supplements the narrative text. The analysis shows how communication about emotions provides a sense-making tool that, in turn, elucidates both the challenges and the potential highlights of doing dirty work. In particular, findings suggest that emotional ambiguity the “moral emotions” of guilt and shame may serve as sense-making tools that can help in ethical decision making and a re-framing of challenging situations.

A field immersion alongside dirty workers, coupled with a creative writing approach, provides access to the fleeting, embodied, and fragmented nature of tacit knowledge – answering the questions of what dirty work feels like. The essay provides a behind the scenes exploration of US Border Patrol agents – a profession that is alternately stigmatized or hidden from public view. Finally, the piece provides a self-reflexive account of the messy realities of conducting “dirty research” in a way that is open ended and embodied.

The purpose of this paper is to propose an automatic method to generate semantic annotations of football transfer in the news. The current automatic news integration systems on the Web are constantly faced with the challenge of diversity, heterogeneity of sources. The approaches for information representation and storage based on syntax have some certain limitations in news searching, sorting, organizing and linking it appropriately. The models of semantic representation are promising to be the key to solving these problems.

The approach of the author leverages Semantic Web technologies to improve the performance of detection of hidden annotations in the news. The paper proposes an automatic method to generate semantic annotations based on named entity recognition and rule-based information extraction. The authors have built a domain ontology and knowledge base integrated with the knowledge and information management (KIM) platform to implement the former task (named entity recognition). The semantic extraction rules are constructed based on defined language models and the developed ontology.

The proposed method is implemented as a part of the sport news semantic annotations-generating prototype BKAnnotation. This component is a part of the sport integration system based on Web Semantics BKSport. The semantic annotations generated are used for improving features of news searching – sorting – association. The experiments on the news data from SkySport (2014) channel showed positive results. The precisions achieved in both cases, with and without integration of the pronoun recognition method, are both over 80 per cent. In particular, the latter helps increase the recall value to around 10 per cent.

This is one of the initial proposals in automatic creation of semantic data about news, football news in particular and sport news in general. The combination of ontology, knowledge base and patterns of language model allows detection of not only entities with corresponding types but also semantic triples. At the same time, the authors propose a pronoun recognition method using extraction rules to improve the relation recognition process.

In this story, I provide a personal history of Norman Denzin's profound influence on the development of interpretive qualitative inquiry, and on me, over the past 30 years. Norman saw the need to move qualitative inquiry from the field to the text to the reader in order to meet the needs of a new and broadening global generation of qualitative researchers, writers, and performance artists who did not want merely to describe the world but rather to interpret, critique, and change it. Through new journals, handbooks, and international/cross-disciplinary conferences, Norman provided the leadership and kindness that inspired the development of a new global community of qualitative researchers committed to social justice and to showing how to feel the sufferings of others.

This is a performance text (see Conquergood, 1985) created out of an epiphany that occurred while conducting what would be considered a traditional sociological interview to gather information. This performance text is a critique of traditional interview models of qualitative inquiry that, “conceal the lived, interactional context in which a text was co-produced, as well as the handprint” of the person who writes the final text, presuming that the interviewer is distant and objective from the subject (Richardson, 1997, p. 140). Performance text is political, transgressive, and gendered (Denzin, 1997; Denzin & Lincoln, 2000). Therefore, this performance makes a moral stance that illuminates the world/lived experience in different ways, illustrating an intent that is embedded to move others to action (see Conquergood, 1985; Denzin, 1997). There is no distance between what is written and what is happening (Denzin & Lincoln, 2000). It is meant to be performed, read out loud, and use words that act on the world. This performance text is put together using excerpts of the interviewee’s actual responses (text on the left column) to questions asked from an interview instrument. In addition, my autoethnography (right column) is created from thoughts occurring during the interview in response to his answers and self-reflection after having completed the interview which, “displays multiple layers of consciousness, connecting the personal to the cultural” (Ellis & Bochener, 2000, p. 739).

This chapter “unpacks” a poster from the CEAD (Contemporary Ethnography Across the Disciplines) conference 2010 and re-situates it within an autoethnographic narrative. The poster presented a project that combined Evocative and Analytic modes in a visual ethnography focused on a collection of tourist photographs taken on Rarotonga in the South Pacific. The framing autoethnography finds in this project evidence of a distinctive tension in contemporary informationalized life between embodied life and data coordinates, plots, or maps of the spaces and times where life takes place. The chapter aligns two sets of terms: on one hand embodied life and the Evocative mode, on the other hand data coordinates/plots and the Analytic mode. With its focus on the photographic image, the chapter also suggests two further terms for both Evocative and Analytic investigation: the image as fantasy and the visual moment. The chapter takes the form of a layered performance text in order to explore these matters.

The purpose of this paper is to summarize the main developments from the early days of manual content analysis to the adoption of computer-assisted content analysis and the emerging artificial intelligence (AI)-supported ways to analyze content (primarily text) in marketing and consumer research. A further aim is to outline the many opportunities these new methods offer to marketing scholars and practitioners facing new types of data.

This conceptual paper maps our methods used for content analysis in marketing and consumer research.

This paper concludes that many new and emerging forms of unstructured data provide a wealth of insight that is neglected by existing content analysis methods. The main findings of this paper support the fact that emerging methods of making sense of such consumer data will take us beyond text and eventually lead to the adoption of AI-supported tools for all types of content and media.

This paper provides a broad summary of nearly five decades of content analysis in consumer and marketing research. It concludes that, much like in the past, today’s research focuses on the producers of the words than the words themselves and urges researchers to use AI and machine learning to extract meaning and value from the oceans of text and other content generated by organizations and their customers.

Often associated with early stages of individual and organizational change is exploration of basic premisses or assumptions held by individuals. Management faculty could benefit from an increased awareness of epistemological and values assumptions that they and others are applying in their educational planning and classroom instructional choices. Multiparadigmatic qualitative research on the evolving field of management education itself might allow better understanding of these deeper, partially taken‐for‐ granted and important faculty assumptions. One potentially useful multiparadigmatic approach for qualitative research might include aspects of interpretive, critical and post‐structural/postmodern social inquiry. Results from such basic research, through publication in some forum or outlet in the management discipline, could be applied for reference and unfreezing purposes in faculty development/ change programmes at individual business colleges or management departments.

Qualitative research suffers from “contestation” and a lack of “boilerplate” problems to assessing and presenting qualitative data, which have hampered its development and the broader acceptance of qualitative research. This paper aims to address this gap by marrying the constructivist methodology and RQDA, a relatively new open-source computer-assisted qualitative data analysis (CAQDAS)-based R extension and demonstrate how the software can increase the rigor, transparency and validity of qualitative research.

This paper highlights the constructivist approach as an important paradigm in qualitative research and demonstrates how it can be operationalized and enhanced using RQDA. It provides a technical and methodological review of RQDA, along with its main strengths and weaknesses, in relation with two popular CAQDAS tools, ATLAS.ti and NVivo. Using samples of customer-generated e-complaints and e-praises in the electronics/computer sector, this paper demonstrates the development of a process model of customer e-complaint rhetoric.

This study offers step-by-step instructions for installing and using RQDA for data coding, aggregation, plotting and theory building. It emphasizes the importance of techniques for sharing coding outputs among researchers and journal gatekeepers to better disseminate and share research findings. It also describes the authors’ use of RQDA in classrooms of undergraduates and graduate students.

This paper addresses the “contestation” and “boilerplate” gaps, offering practical, step-by-step instructions to operationalize and enhance the constructivist approach using the RQDA-based approach. This opens new opportunities for existing R users to “cross over” to analyzing textual data as well as for computer-savvy scholars, analysts and research students in academia and industry who wish to transition to CAQDAS-based qualitative research because RQDA is free and can leverage the strengths of the R computing platform.

This study offers the first published review and demonstration of the RQDA-based constructivist methodology that provide the processes needed to enhance the rigor, transparency and validity of qualitative research. It demonstrates the systematic development of a data structure and a process model of customer e-complaint rhetoric using RQDA.