The goal of this study was to explore the individual, cultural–relational–communal, and systemic factors associated with refugee resilience. Using constructivist grounded theory, we explored the ...concept of resilience through individual and focus group interviews with 21 refugees and 25 staff members working with this population in the United States. Our findings illustrate a multilayered and dynamic model that presents resilience in refugees as a fluid and complex phenomenon involving (a) individual, (b) community, and (c) societal conditions that either facilitate or hinder refugees’ ability to bounce back from the trauma(s) they have experienced. The authors discuss the implications of this model for developing a range of intervention strategies that aid in fostering refugee resilience at individual, community, and societal levels.
Although the rising popularity of methodological templates has yielded an increasing interest in qualitative research, we discuss how the misuse of methodological templates can diminish the quality ...of research. As an alternative, we propose methodological bricolage as an organizing metaphor for how to do qualitative methods, which involves the combining of analytic moves for the purpose of solving a problem or problems tailored to one’s own research project. To develop a methodological bricolage approach, we draw on our own research as well as a broader set of qualitative research articles to illustrate how authors arrange various methodological moves to create an effective arrangement that communicates trustworthiness. We outline the benefits of methodological bricolage and some cautions in using this approach.
Getting Started Barney G. Glaser
The grounded theory review,
07/2020, Letnik:
19, Številka:
1
Journal Article
Recenzirano
Odprti dostop
It may sometimes be said that one of the most difficult parts of doing research is to get started. The making of choices and commitments to a research problem seem less secured and structured when ...doing descriptive research in quantitative or qualitative research. This occurs because the research problem is chosen beforehand and therefore forces the data, thus the yield may be small or nothing since the problem, in fact, may not be relevant. A “thought up” problem may sound juicy, but the preconception leads nowhere.
Thematic analysis methods, including the reflexive approach we have developed, are widely used in counselling and psychotherapy research, as are other approaches that seek to develop ‘patterns’ ...(themes, categories) across cases. Without a thorough grounding in the conceptual foundations of a wide variety of across‐case analytic approaches, and qualitative research more broadly—something rarely offered in counselling training—it can be difficult to understand how these differ, where they overlap, and which might be appropriate for a particular research project. Our aim in this paper is to support researchers in counselling and psychotherapy to select an appropriate across‐case approach for their research, and to justify their choice, by discussing conceptual and procedural differences and similarities between reflexive thematic analysis (TA) and four other across‐case approaches. Three of these are also widely used in counselling and psychotherapy research—qualitative content analysis, interpretative phenomenological analysis and grounded theory. The fourth—discourse analysis—is less widely used but importantly exemplifies the critical qualitative research tradition. We contextualise our comparative approach by highlighting the diversity within TA. TA is best thought of as a spectrum of methods—from types that prioritise coding accuracy and reliability to reflexive approaches like ours that emphasise the inescapable subjectivity of data interpretation. Although reflexive TA provides the point of comparison for our discussion of other across‐case approaches, our aim is not to promote reflexive TA as ‘best’. Rather, we encourage the knowing selection and use of analytic methods and methodologies in counselling and psychotherapy research.
•Explore AI-enabled innovation process through multiple case study.•Identify AI affordances that drive digital innovation.•Develop AI-afforded digital innovation framework.•Discuss theoretical and ...practical implications of using AI to drive digital innovation.
Artificial Intelligence (AI) is fuelling a new breed of digital innovation in Human Resource Management (HRM) by creating new opportunities for complying with General Data Protection Regulation (GDPR) during data collection and analysis, decreasing biases, and offering targeted recommendations. However, AI is also posing challenges to organisations and key assumptions about digital innovation processes and outcomes, making it unclear how to combine AI affordances with actors, goals, and tasks. We conducted a qualitative multiple-case study in Scandinavian organisations offering HR services. Grounded theory guided our data collection and analysis. Input-Process-Output framework and affordance theory supported the analysis of specific information processing constraints and enablers. We developed a framework to explain how AI affordances enable digital innovation and address the calls about definitional boundaries between innovation processes and outcomes. We showed how AI affordances are actualised and how this leads to reontologising decision-making and providing data driven legitimisation. Our study contributes to digital innovation research by elucidating AI affordances and their actualisation in organisations. We conclude with the implications to theory and practice, limitations, and suggestions for future research.
This article examines qualitative data in an era of neoliberalism and focuses on the place of data in grounded theory studies. Neoliberal values of individual responsibility, self-sufficiency, ...competition, efficiency, and profit have entered the conduct of research. Neoliberalism fosters (a) reifying quantitative logical-deductive research, (b) imposing surveillance of types and sources of data, (c) marginalizing inductive qualitative research, and (d) limiting access to data in grounded theory studies. Grounded theory relies on data and resists current efforts to abandon data. The method resides in the space between reifying and rejecting data. Data allow us to learn from the stories of those left out and permits research participants to break silences. Data can help us look underneath and beyond our privileges, and alter our views. Grounded theory is predicated on data, but how researchers regard and render data depends on which version of the method they adopt. We propose developing a strong methodological self-consciousness to learn how we affect the research process and to counter the subtle effects of neoliberalism.
Under the background of "carbon peaking and carbon neutrality", the carbon emissions produced by the public’s daily consumption cannot be ignored. However, the data show that there is a disunity of ...knowing and doing in low-carbon consumption. How to get out of the dilemma, and how to guide the public to the low-carbon consumption mode has become an urgent issue to be solved. This study uses the research method of in-depth interview and the grounded theory to build a research model suitable for the analysis of low-carbon consumption behavior, and explains the disunity of knowing and doing. The results show that low-carbon knowledge, personal benefits, moral image and social norms have significant effects on low-carbon consumption behavior, and the mechanisms and paths of their effects are different. On this basis, this study explores and integrates the "knowledge-cognition-behavior" model to analyse low-carbon consumption behaviors, which can provide targeted policy ideas and implementation paths for relevant institutions.
Theory Building Shepherd, Dean A.; Suddaby, Roy
Journal of management,
01/2017, Letnik:
43, Številka:
1
Journal Article
Recenzirano
Building theories is important for advancing knowledge of management. But it is also a highly challenging task. Although there is a burgeoning literature that offers many theorizing tools, we lack a ...coherent understanding of how these tools fit together—when to use a particular tool and which combination of tools can be used in the theorizing process. In this article, we organize a systematic review of the literature on theory building in management around the five key elements of a good story: conflict, character, setting, sequence, and plot and arc. In doing so, we hope to provide a richer understanding of how specific theorizing tools facilitate aspects of the theorizing process and offer a clearer big picture of the process of building important theories. We also offer pragmatic empirical theorizing as an approach that uses quantitative empirical findings to stimulate theorizing.
Adverse childhood experiences (ACEs) confer significant risk for diabetes in adulthood. The purpose of this study was to explore perceptions about risk, potential pathways leading to diabetes, and ...solutions based on the lived experience.
Three focus groups were conducted. A semi-structured interview guide was used to explore prevalence and causes of ACEs, pathways to diabetes, and possible solutions. Grounded theory was used for analysis. Constant comparisons resulted in emergent themes that were indexed and compared with the rest of the data to establish analytical categories. Analytical categories were further refined as additional data was collected until groups of key themes or categories were identified and used to construct a theoretical framework.
Participants totaled 23 across 3 groups. All participants were African American. Average age was 49, average number of years living with diabetes was 13 years. Participants included both men and women. Participants experienced one or more occasions of sexual abuse, physical and verbal abuse, and neglect. The major themes can be classified as A. Cause, B. Pathway, and C. Treatment/solution.
Findings may not generalize to the overall population with ACEs and diabetes.
Three major themes were identified: family instability and financial hardship as risks for ACEs, maladaptive coping leading to diabetes, and social structure as a potential solution. Future research is needed to examine quantitatively, pathways to inform prevention at the primary, secondary, and tertiary levels of care for both the prevention of ACEs, mitigating risk for diabetes, and improving overall health.
•Adverse Childhood Experiences (ACEs) confer significant risk for diabetes in adulthood.•Limited work has been done to contextualize the relationship between ACEs and diabetes.•From a patient perspective, family instability and financial hardship are risks for ACEs.•Maladaptive coping may be the mechanism through which diabetes develops.•Emphasis on the social structure was identified as a key solution.
In construction projects, Building Information Modeling (BIM) influences on the common way of collaboration, including the roles of different participants. The goal of this research is to explore ...current practices and identify the critical effects of BIM on collaborative design and construction. Through a focus group discussion and interviews with BIM related participants, we explored project professions' understandings of BIM implementation on collaborative design and construction and adopted the grounded theory to analyze the qualitative data. Eight concepts influencing the development of BIM collaboration are identified and classified: (1) IT capacity, (2) technology management, (3) attitude and behavior, (4) role-taking, (5) trust, (6) communication, (7) leadership, (8) learning and experience. We discussed the taxonomy of BIM effects into three dimensions: technology, people and process. Our findings provide empirical insights into the collaborative nature of BIM construction projects and highlight the importance of collaboration within project teams in BIM project delivery.
•We undertook a grounded theory-based focus group discussion and interviews.•Eight influential concepts of BIM on collaborative design and construction were revealed.•The research examined closed human-technology interactions of BIM and their social context.•Our findings contribute to the ‘soft’ area of BIM research.
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