Business and Management INK

The Staff Ride: An Approach to Qualitative Data Generation and Analysis

January 4, 2012 660

Wendy S. Becker, Shippensburg University, and Michael J. Burke, Tulane University, published “The Staff Ride: An Approach to Qualitative Data Generation and Analysis” on November 9th, 2011 in Organizational Research Methods OnlineFirst Section. To view the other OnlineFirst articles, please click here.

The abstract:

The authors present and illustrate the research staff ride—the re-creation of a historical event for the purpose of understanding organizational phenomena through observation, reflection, and discussion. Staff rides make unique contributions to research through the independent analysis of events outside organizations by content experts who collectively and concurrently reflect on retrospective data while experiencing context. Staff rides involve the examination of ordered sequences of contextually bound events and, thus, promote participants’ understanding of the dependence between past and future observations. In this article, the authors elaborate on the types of data, data collection procedures, and data analyses for research staff rides. Importantly, they discuss potential strengths and challenges associated with staff rides in qualitative research, along with ways to address these challenges.

To learn more about Organizational Research Methods, please follow this link.

Are you interested in receiving email alerts whenever a new issue or article becomes available online? Then click here.

Bookmark and Share

[polldaddy rating=”4667602″]

Business and Management INK puts the spotlight on research published in our more than 100 management and business journals. We feature an inside view of the research that’s being published in top-tier SAGE journals by the authors themselves.

View all posts by Business & Management INK

Related Articles

Challenging, But Worth It: Overcoming Paradoxical Tensions of Identity to Embrace Transformative Technologies in Teaching and Learning
Business and Management INK
March 27, 2024

Challenging, But Worth It: Overcoming Paradoxical Tensions of Identity to Embrace Transformative Technologies in Teaching and Learning

Read Now
Data Analytics and Artificial Intelligence in the Complex Environment of Megaprojects: Implications for Practitioners and Project Organizing Theory
Business and Management INK
March 21, 2024

Data Analytics and Artificial Intelligence in the Complex Environment of Megaprojects: Implications for Practitioners and Project Organizing Theory

Read Now
Putting People at the Heart of the Research Process
Business and Management INK
March 20, 2024

Putting People at the Heart of the Research Process

Read Now
Coping with Institutional Complexity and Voids: An Organization Design Perspective for Transnational Interorganizational Projects
Research
March 19, 2024

Coping with Institutional Complexity and Voids: An Organization Design Perspective for Transnational Interorganizational Projects

Read Now
Empowering David: How Smaller Firms Reconfigure National Dependency on Foreign Multinationals in the Era of Disruptive Technological Change

Empowering David: How Smaller Firms Reconfigure National Dependency on Foreign Multinationals in the Era of Disruptive Technological Change

In this article, Sonja Avlijaš, Pavle Medić, and Kori Udovički reflect on foreign direct investment (FDI) and the way it impacts the development of political economies.

Read Now
The Complexities of Making Key Career Decisions

The Complexities of Making Key Career Decisions

practice. Career decision-making is a process that is difficult to analyze because it is much more complex than selecting the best option in a one-off choice.

Read Now
Revolutionizing Management Research with Immersive Research Methods

Revolutionizing Management Research with Immersive Research Methods

In this article, Anand van Zelderen, Nicky Dries, and Elise Marescaux reflect on their decision to explore nontraditional research.

Read Now
0 0 votes
Article Rating
Subscribe
Notify of
guest

This site uses Akismet to reduce spam. Learn how your comment data is processed.

0 Comments
Inline Feedbacks
View all comments