Dorothy A. Forbes, Cathy Alberda, Betty Anderson, R. Denis Chalifoux, Susan Chandler, Judith Cote, Jean Collins‐Smith, Patricia Edney, Cindy Gerdes, Kathleen McIlveen, Carla Policicchio, Greg Ryan, Case Vink and Nese Yuksel
Notes that with health care reform moving at tremendous speed throughout Canada, a great deal of interest in outcomes research has been generated. States that the research team…
Abstract
Notes that with health care reform moving at tremendous speed throughout Canada, a great deal of interest in outcomes research has been generated. States that the research team consisted of 17 professional practice leaders from eight disciplines. Proposes, through the research, to identify from the perspective of former patients what results they hoped to achieve prior to discharge from hospital and what facilitated and hindered them in achieving these results. Reports that a representative sample was selected for the study. Forty‐one former patients each participated in up to two focus groups, with a total of 16 focus groups conducted. Hierarchical analysis revealed themes that fell within the framework of structure, process and outcomes. The findings will assist in ensuring that more appropriate and effective care is offered to patients by a variety of disciplines.
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Aleksandra Stojanovska, Roslyn Kerr and Greg Ryan
Drawing on a larger study of coaches, parents, and children involved in nonelite sport in New Zealand, this chapter examines Jay Coakley's (2021) concept of the “Great Sport Myth”…
Abstract
Drawing on a larger study of coaches, parents, and children involved in nonelite sport in New Zealand, this chapter examines Jay Coakley's (2021) concept of the “Great Sport Myth” (GSM), whereby a strong belief in the innate purity and goodness of sport produces a reluctance to criticize it. This chapter emphasizes the developmental outcomes that parents and children believe are gained through sport and demonstrates the ways that parents relinquish control to coaches and reinforce the dominance of the coach as the decision-maker through their belief in the strength of the GSM. These findings are significant, given the large number of abuse cases that have come to light in sport in recent decades where the absence of parental intervention is marked. Not only are children socialized by their time in sport, but so too are parents, who are taught that they are “good” parents if they trust the work of the coach. The findings are also at odds with a prevailing neoliberal emphasis on individualization, especially in education policy and practice, where parents are more likely to intervene to assert the individualized needs of their children. This study is unique in addressing the relatively neglected experiences of those who play at the competitive, but not serious or elite, end of sport.
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The purpose of this paper is to explore the effects of the pursuit of academic capital – a form of cultural capital – on the working lives of mature students. The paper highlights…
Abstract
Purpose
The purpose of this paper is to explore the effects of the pursuit of academic capital – a form of cultural capital – on the working lives of mature students. The paper highlights the uneven educational conversion experience across class and gender for a group of mature students and argues that the higher education environment needs to be and do more for students in terms of support.
Design/methodology/approach
In total, 42 in-depth individual interviews were conducted over an 18 month period with 13 mature students located at a South African university. The students in the study – all in full-time employment – were enroled on a part-time management programme.
Findings
Through focusing on the narratives of mature students attending a South African university, the findings show that class trajectory and gender work differently for mature students, shaping both reasons for entry into higher education and influencing the relationships between mature individuals and significant others in their working lives.
Practical implications
The findings highlight the need for awareness regarding the role educational institutions can and should play in addressing the challenges faced by these non-traditional students. The world of work should also create an enabling environment where support and encouragement are provided.
Originality/value
Although several articles discuss the experiences of mature students, few delve into the issue of mature students’ ability to convert or exchange their academic capital to something of value within the world of work. The reasons for returning to study as mature individuals are also explored in the paper.
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Jan Kietzmann and Leyland F. Pitt
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…
Abstract
Purpose
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.
Design/methodology/approach
This conceptual paper maps our methods used for content analysis in marketing and consumer research.
Findings
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.
Originality/value
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.