Skip to main content Accessibility help
×
Hostname: page-component-78c5997874-mlc7c Total loading time: 0 Render date: 2024-11-10T12:29:01.855Z Has data issue: false hasContentIssue false

Chapter 12 - Sequence Analysis in Routine Dynamics

from Part II - Methodological Issues in Routine Dynamics Research

Published online by Cambridge University Press:  11 December 2021

Martha S. Feldman
Affiliation:
University of California, Irvine
Brian T. Pentland
Affiliation:
Michigan State University
Luciana D'Adderio
Affiliation:
University of Edinburgh
Katharina Dittrich
Affiliation:
University of Warwick
Claus Rerup
Affiliation:
Frankfurt School of Finance and Management
David Seidl
Affiliation:
University of Zurich
Get access

Summary

Implicitly or explicitly, sequence analysis is at the heart of research on routine dynamics. Sequence analysis takes many forms in many different disciplines, because sequence is central to temporality, process, language, and narrative. In this chapter, we focus on sequence analysis in routine dynamics research. The goal of this chapter is to help researchers use sequence analysis in their research on routine dynamics. Hence, the chapter reviews prior literature that has used sequence analysis, it shows how to carry out sequence analysis and it provides implications as well as an agenda for future research.

Type
Chapter
Information
Publisher: Cambridge University Press
Print publication year: 2021

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Abbott, A. (1990). A primer on sequence methods. Organization Science, 1(4), 375392.Google Scholar
Abbott, A. (1992). From causes to events: Notes on narrative positivism. Sociological Methods & Research, 20(4), 428455.CrossRefGoogle Scholar
Abbott, A. and Hrycak, A. (1990). Measuring resemblance in sequence data: An optimal matching analysis of musicians’ careers. American Journal of Sociology, 96(1), 144185.Google Scholar
Abbott, A. and Tsay, A. (2000). Sequence analysis and optimal matching methods in sociology: Review and prospect. Sociological Methods & Research, 29(1), 333.CrossRefGoogle Scholar
Aisenbrey, S. and Fasang, A. E. (2010). New life for old ideas: The ‘second wave’ of sequence analysis bringing the ‘course’ back into the life course. Sociological Methods & Research, 38(3), 420462.Google Scholar
Barley, S. R. (1986). Technology as an occasion for structuring: Evidence from observations of CT scanners and the social order of radiology departments. Administrative Science Quarterly, 31(1), 78108.CrossRefGoogle ScholarPubMed
Barley, S. R. (1990). Images of imaging: Notes on doing longitudinal field work. Organization Science, 1(3), 220247.Google Scholar
Berente, N., Seidel, S. and Safadi, H. (2019). Research commentary: Data-driven computationally intensive theory development. Information Systems Research, 30(1), 5064.Google Scholar
Cohen, M. D. (2007). Reading Dewey: Reflections on the study of routine. Organization Studies, 28(5), 773786.Google Scholar
Cornwell, B. (2015). Social Sequence Analysis: Methods and Applications. New York: Cambridge University Press.Google Scholar
Danner-Schröder, A. and Geiger, D. (2016). Unravelling the motor of patterning work: Toward an understanding of the microlevel dynamics of standardization and flexibility. Organization Science, 27(3), 633658.Google Scholar
De Saussure, F. (1916). Cours de Linguistique Générale. Paris: Payot.Google Scholar
Dittrich, K., Guérard, S. and Seidl, D. (2016). Talking about routines: The role of reflective talk in routine change. Organization Science, 27(3), 678697.CrossRefGoogle Scholar
Durbin, R., Eddy, S. R., Krogh, A. and Mitchison, G. (1998). Biological Sequence Analysis: Probabilistic Models of Proteins and Nucleic Acids. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
Feldman, M. S. (2016). Making process visible: Alternatives to boxes and arrows. In A. Langley and H. Tsoukas. eds., The Sage Handbook of Process Organization Studies. London: Sage, pp. 625635.CrossRefGoogle Scholar
Feldman, M. S. and Pentland, B. T. (2003). Reconceptualizing organizational routines as a source of flexibility and change. Administrative Science Quarterly, 48(1), 94118.Google Scholar
Feldman, M. S., Pentland, B. T., D’Adderio, L. and Lazaric, N. (2016). Beyond routines as things: Introduction to the special issue on routine dynamics. Organization Science, 27(3), 505513.Google Scholar
Fournier-Viger, P., Gomariz, A., Gueniche, T., Soltani, A., Wu, C.-W. and Tseng, V. S. (2014). SPMF: A java open-source pattern mining library. The Journal of Machine Learning Research, 15(1), 33893393.Google Scholar
Gabadinho, A., Ritschard, G., Studer, M. and Müller, N. S. (2011). Mining Sequence Data in R with the TraMineR Package: A User’s Guide. Geneva: University of Geneva.Google Scholar
Gioia, D. A., Corley, K. G. and Hamilton, A. L. (2013). Seeking qualitative rigor in inductive research: Notes on the Gioia methodology. Organizational Research Methods, 16(1), 1531.CrossRefGoogle Scholar
Goh, K. and Pentland, B. T. (2019). From actions to paths to patterning: Toward a dynamic theory of patterning in routines. Academy of Management Journal, 62(6), 19011929.Google Scholar
Griffin, L. J. (2007). Historical sociology, narrative and event-structure analysis: Fifteen years later. Sociologica, 1(3), 117.Google Scholar
Hærem, T., Pentland, B. T. and Miller, K. D. (2015). Task complexity: Extending a core concept. Academy of Management Review, 40(3), 446460.Google Scholar
Hansson, M., Pentland, B. T. and Hærem, T. (2017). Identifying mid-range patterns of action: Tools for the analysis of organizational routines. Academy of Management Proceedings.Google Scholar
Hernes, T. (2014). A Process Theory of Organization. Oxford: Oxford University Press.Google Scholar
Keegan, B. C., Lev, S. and Arazy, O. (2016). Analyzing organizational routines in online knowledge collaborations: A case for sequence analysis in CSCW. Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing, 1065–1079.CrossRefGoogle Scholar
Langley, A. and Tsoukas, H. (2017). The Sage Handbook of Process Organization Studies. London: Sage.Google Scholar
LeBaron, C., Christianson, M. K., Garrett, L. and Ilan, R. (2016). Coordinating flexible performance during everyday work: An ethnomethodological study of handoff routines. Organization Science, 27(3), 514534.CrossRefGoogle Scholar
Levitt, B. and Nass, C. (1989). The lid on the garbage can: Institutional constraints on decision making in the technical core of college-text publishers. Administrative Science Quarterly, 34(2), 190207.Google Scholar
Lindberg, A., Berente, N., Gaskin, J. and Lyytinen, K. (2016). Coordinating interdependencies in online communities: A study of an open source software project. Information Systems Research, 27(4), 751772.Google Scholar
Mabroukeh, N. R. and Ezeife, C. I. (2010). A taxonomy of sequential pattern mining algorithms. ACM Computing Surveys (CSUR), 43(1), 141.CrossRefGoogle Scholar
Mahringer, C. A. (2019). Exploring Routine Ecologies: A Characterization and Integration of Different Perspectives on Routines. Dissertation, Stuttgart: University of Stuttgart.Google Scholar
Mahringer, C. A., Dittrich, K. and Renzl, B. (2019). Interdependent routines and innovation processes: An ethnographic study of Scrum teams. Academy of Management Proceedings.Google Scholar
Marcus, G. E. (1995). Ethnography in/of the world system: The emergence of multi-sited ethnography. Annual Review of Anthropology, 24(1), 95117.Google Scholar
Mesle, C. R. and Dibben, M. R. (2017). Whitehead’s process relational philosophy. In Langley, A. and Tsoukas, H., eds., The Sage Handbook of Process Organization Studies. London: Sage, pp. 2942.Google Scholar
Moody, J., McFarland, D. and Bender-deMoll, S. (2005). Dynamic network visualization. American Journal of Sociology, 110(4), 12061241.Google Scholar
Pentland, B. T. (1999a). Building process theory with narrative: From description to explanation. Academy of Management Review, 24(4), 711724.Google Scholar
Pentland, B. T. (1999b). Organizations as networks of action. In Baum, J. and McKelvey, B., eds., Variations in Organization Science: In Honor of Donald T. Campbell. Thousand Oaks, CA: Sage, pp. 237253.Google Scholar
Pentland, B. T. (2003a). Conceptualizing and measuring variety in the execution of organizational work processes. Management Science, 49(7), 857870.Google Scholar
Pentland, B. T. (2003b). Sequential variety in work processes. Organization Science, 14(5), 528540.Google Scholar
Pentland, B. T. and Feldman, M. S. (2007). Narrative networks: Patterns of technology and organization. Organization Science, 18(5), 781795.CrossRefGoogle Scholar
Pentland, B. T., Feldman, M. S., Becker, M. C. and Liu, P. (2012). Dynamics of organizational routines: A generative model. Journal of Management Studies, 49(8), 14841508.CrossRefGoogle Scholar
Pentland, B. T., Hærem, T. and Hillison, D. (2010). Comparing organizational routines as recurrent patterns of action. Organization Studies, 31(7), 917940.Google Scholar
Pentland, B. T., Hærem, T. and Hillison, D. (2011). The (n)ever-changing world: Stability and change in organizational routines. Organization Science, 22(6), 13691383.CrossRefGoogle Scholar
Pentland, B. T. and Liu, P. (2018). Network models of organizational routines: Tracing associations between actions. In Mir, R. and Jain, S., eds., The Routledge Companion to Qualitative Research in Organization Studies. New York: Routledge, pp. 422438.Google Scholar
Pentland, B. T., Mahringer, C. A., Dittrich, K., Feldman, M. S. and Ryan Wolf, J. (2020). Process multiplicity and process dynamics: Weaving the space of possible paths. Organization Theory, 1, 121.Google Scholar
Pentland, B. T. and Rueter, H. H. (1994). Organizational routines as grammars of action. Administrative Science Quarterly, 39(3), 484510.CrossRefGoogle Scholar
Pentland, B. T., Ryan, J. L., Xie, Y., Kim, I., Frank, K. and Pentland, A. P. (2019). Visualizing clinical routines: What can we see with digital trace data. 11th International Symposium on Process Organization Studies. Chania, Greece.Google Scholar
Poole, M. S., Lambert, N., Murase, T., Asencio, R. and McDonald, J. (2017). Sequential analysis of processes. In Langley, A. and Tsoukas, H., eds., The Sage Handbook of Process Organization Studies. London: Sage, pp. 254270.Google Scholar
Sabherwal, R. and Robey, D. (1993). An empirical taxonomy of implementation processes based on sequences of events in information system development. Organization Science, 4(4), 548576.Google Scholar
Salvato, C. (2009a). Capabilities unveiled: The role of ordinary activities in the evolution of product development processes. Organization Science, 20(2), 384409.Google Scholar
Salvato, C. (2009b). The contribution of event-sequence analysis to the study of organizational routines. In Becker, M. C. and Lazaric, N., eds., Organizational Routines: Advancing Empirical Research. Northampton: Edward Elgar Publishing, pp. 68102.Google Scholar
Sankoff, D. and Kruskal, J. B. (1983). Time Warps, String Edits, and Macromolecules: The Theory and Practice of Sequence Comparison. Reading, MA: Addison-Wesley Publishing.Google Scholar
Schwaber, K. and Beedle, M. (2002). Agile Software Development with Scrum. Upper Saddle River, NJ: Prentice Hall.Google Scholar
Sele, K. and Grand, S. (2016). Unpacking the dynamics of ecologies of routines: Mediators and their generative effects in routine interactions. Organization Science, 27(3), 722738.Google Scholar
Van de Ven, A. H., Polley, D., Garud, R. and Venkatraman, S. (1999). The Innovation Journey. New York: Oxford University Press.Google Scholar
Van der Waal, K. (2009). Getting going: Organizing ethnographic fieldwork. In Ybema, S., Yanow, D., Wels, H. and Kamsteeg, F., eds., Organizational Ethnography: Studying the Complexities of Everyday Life. London: Sage, pp. 2339.Google Scholar
Witten, I. H., Frank, E., Hall, M. A. and Pal, C. J. (2016). Data Mining: Practical Machine Learning Tools and Techniques. Cambridge: Morgan Kaufmann.Google Scholar
Yanow, D. (2012). Organizational ethnography between toolbox and world‐making. Journal of Organizational Ethnography, 1(1), 3142.Google Scholar

Save book to Kindle

To save this book to your Kindle, first ensure coreplatform@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×