A Framework and Approach for Analysis of Focus Group Data in Information Systems Research

Nili, Alireza; Tate, Mary; Johnstone, David

doi:10.17705/1cais.04001

Cited by 43 publications

(35 citation statements)

References 55 publications

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“…The approach to data analysis was inductive ("conventional analysis"). Content analysis was conducted in several stages [72]. Redundant information or information that was not pertinent to research objectives and questions has been removed.…”

Section: The Role Of Vr In Tourism For Families With Disabled Childrenmentioning

confidence: 99%

“…The results obtained through previous steps for each content area were integrated. All subcategories and categories, from "manifest analysis "of content, and all subtopics and themes from "latent content analysis" [72] were grouped into "subgroups" and "groups". Finally, the results of all content areas were integrated and the whole results were reported.…”

Section: The Role Of Vr In Tourism For Families With Disabled Childrenmentioning

confidence: 99%

“…For each objective, information obtained from the parent group was compared with information obtained from the group of specialists as well as with the results of other research in the specialized literature. The results were presented in an integrated way so as to present all groups and subgroups in all content areas in a short text, in a specific manner for qualitative studies [72].…”

Section: The Role Of Vr In Tourism For Families With Disabled Childrenmentioning

confidence: 99%

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Responsible Tourism—Integrating Families with Disabled Children in Tourist Destinations

et al. 2019

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This article addresses issues regarding the intention of responsible tourism to increase the accessibility of tourist destinations for children with disabilities and their families. The main objective of this research is to identify the barriers that families with disabled children confront during their touristic experiences and to find ways to diminish these barriers. In this respect, qualitative marketing research based on the focus group method was conducted. The research results revealed that the most important barriers faced by such families are attitude barriers, followed by physical barriers and a lack of information. Starting from these results, we proposed the higher involvement of national authorities and other stakeholders in strategies meant to decrease or remove the barriers faced by people with disabilities and their attendants in order to develop responsible tourism. Such strategies could firstly involve the development of a primary school curriculum by including educational programs that are meant to avoid attitude barriers. Secondly, other stakeholders could use new emerging technologies, such as virtual reality, to offer tourists the opportunity to experience some tourism products and places before they travel.

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Section: The Role Of Vr In Tourism For Families With Disabled Childrenmentioning

confidence: 99%

Section: The Role Of Vr In Tourism For Families With Disabled Childrenmentioning

confidence: 99%

Section: The Role Of Vr In Tourism For Families With Disabled Childrenmentioning

confidence: 99%

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Responsible Tourism—Integrating Families with Disabled Children in Tourist Destinations

et al. 2019

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“…Researchers have increasingly used focus groups in IS research (Belanger, 2012;Nili, Tate, & Johnstone, 2017;Tremblay, Hevner, & Berndt, 2010). A focus group study refers to a group session where knowledgeable people interact and discuss some given themes (Morgan & Spanish, 1984;Bryman, 2016).…”

Section: Focus Group Studymentioning

confidence: 99%

The Generation of Qualitative Data in Information Systems Research: The Diversity of Empirical Research Methods

Goldkuhl¹

2019

CAIS

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This paper investigates the concept of data collection in information systems qualitative research. In this text, I replace the term "data collection" with "data generation" to emphasize that the researcher arranges situations that produce rich and meaningful data for further analysis. Data generation comprises activities such as searching for, focusing on, noting, selecting, extracting, and capturing data. This paper analyzes and compares a repertoire of empirical research methods for generating qualitative data. It describes and visualizes (through a common data-generation template) 12 research methods: interviewing, questionnaire study, document study, artifact study, observation study, participant observation, intervention study, practice-based design study, lab-based design study, focus group study, test study, and self-reporting. I compare these data-generation methods according to 1) the researcher's role in data generation, 2) data generation's influence on everyday life reality, 3) each data-generation method's relationship to everyday life reality, 4) what parts/mediators of everyday life reality each data-generation method addresses, 5) the expected value of generated data and 6) possible shortcomings in generated data. As a basis for investigating data generation, I ontologically clarify (based on a practice-theoretical perspective) the empirical landscape of information systems (the kinds of phenomena and sources of data that exist). A concluding discussion contains 1) analyses concerning relationships between data-generation methods and compound research methods/strategies such as case study research, action research, and design science research and 2) the role of interpretation in data generation versus data analysis.

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“…Focus groups can be regarded as a social research method that allows a group of people (4−8) to provide data about a specific topic by means of informal group interaction [39]. A protocol was created to guide the work during the sessions, which consisted of unstructured and open-ended questions.…”

Section: Data Evaluationmentioning

confidence: 99%

Understanding the decision-making process in disaster risk monitoring and early-warning: A case study within a control room in Brazil

Horita

Albuquerque

Marchezini

2018

International Journal of Disaster Risk Reduction

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warwick.ac.uk/lib-publications A B S T R A C TThe tasks of disaster risk monitoring and early warning are an important means of improving the efficiency of disaster response and preparedness. However, although the current works in this area have sought to provide a more accurate and better technological infrastructure of systems to support these tasks, they have failed to examine key features that may affect the decision-making. In light of this, this paper aims to provide an understanding of the decision-making process in control rooms for disaster risk monitoring and early warning. This understanding is underpinned by a conceptual framework, which has been developed in this work and describes factors that influence the decision-making. For doing so, data were collected through a series of semi-structured interviews and participatory observations and later evaluated with members of the control room of the Brazilian Center for Monitoring and Early Warning of Natural Disasters (Cemaden). The study findings provided a solid basis for designing the conceptual framework of the essential factors required by the decision-makers. These factors are separated into two groups: 1) the "dimensions" of decision-making (i.e., the type of hazard, the phase of the disaster risk, the location, and area of expertise of the operators) and the "pillars" of decision-making (i.e., the tasks, their required information, useful data sources, and the decision rule). Finally, the contributions achieved in this study may help operators to understand and propose proactive measures that could improve their decision-making, overcome uncertainties, standardize the team's decision-making, and put less pressure on operators.

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A Framework and Approach for Analysis of Focus Group Data in Information Systems Research

Cited by 43 publications

References 55 publications

Responsible Tourism—Integrating Families with Disabled Children in Tourist Destinations

Responsible Tourism—Integrating Families with Disabled Children in Tourist Destinations

The Generation of Qualitative Data in Information Systems Research: The Diversity of Empirical Research Methods

Understanding the decision-making process in disaster risk monitoring and early-warning: A case study within a control room in Brazil

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