Cited by 319Computational and Text Analysis MethodsTopic ModelingSentiment Analysis and Opinion Mining

The DOI matches its Crossref record; 52 of the 52 references it cites were found in a registry or an index.

Topic Modeling as a Strategy of Inquiry in Organizational Research: A Tutorial With an Application Example on Organizational Culture

Open access

Schmiedel, Theresa, Müller, Oliver, vom Brocke, Jan·2019·Organizational Research Methods

Open this paper in CoChat — free account Open PDF

Abstract

Research has emphasized the limitations of qualitative and quantitative approaches to studying organizational phenomena. For example, in-depth interviews are resource-intensive, while questionnaires with closed-ended questions can only measure predefined constructs. With the recent availability of large textual data sets and increased computational power, text mining has become an attractive method that has the potential to mitigate some of these limitations. Thus, we suggest applying topic modeling, a specific text mining technique, as a new and complementary strategy of inquiry to study organizational phenomena. In particular, we outline the potentials of structural topic modeling for organizational research and provide a step-by-step tutorial on how to apply it. Our application example builds on 428,492 reviews of Fortune 500 companies from the online platform Glassdoor, on which employees can evaluate organizations. We demonstrate how structural topic models allow to inductively identify topics that matter to employees and quantify their relationship with employees’ perception of organizational culture. We discuss the advantages and limitations of topic modeling as a research method and outline how future research can apply the technique to study organizational phenomena.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Integrity signals

Registry

Crossref · 10.1177/1094428118773858

Cites

52 of 52 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Latent dirichlet allocation
(2003) · Journal of Machine Learning Research · doi:10.5555/944919.944937 · Cited by 32,337
Seeking Qualitative Rigor in Inductive Research: Notes on the Gioia Methodology
Gioia, D. A., Corley, K. G., & Hamilton, A. L. (2013) · Organizational Research Methods · doi:10.1177/1094428112452151 · Cited by 13,227
The Handbook of Social Psychology
Gravatt, A. E., Lindzey, G. E., & Aronson, F. (1969) · The Family Coordinator · doi:10.2307/582242 · Cited by 12,518
Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation
Moore, G. C., & Benbasat, I. (1991) · Information Systems Research · doi:10.1287/isre.2.3.192 · Cited by 9,150
Basic content analysis
Weber, R. (1990) · doi:10.4135/9781412983488 · Cited by 7,750
Probabilistic topic models
Blei, D. M. (2012) · Communications of the ACM · doi:10.1145/2133806.2133826 · Cited by 5,516
Culture, leadership, and organizations: the GLOBE study of 62 societies
(2005) · Choice Reviews Online · doi:10.5860/choice.42-4132 · Cited by 5,058
Distributional Structure
Harris, Z. S. (1954) · WORD · doi:10.1080/00437956.1954.11659520 · Cited by 4,807
Journal of Statistical Software
de Leeuw, J. (2009) · Wiley Interdisciplinary Reviews Computational Statistics · doi:10.1002/wics.10 · Cited by 3,651
Quantitative Analysis of Culture Using Millions of Digitized Books
Michel, J.-B., Shen, Y. K., Aiden, A. P., Veres, A., Gray, M. K., The Google Books Team, Pickett, J. P., Hoiberg, D., Clancy, D., Norvig, P., et al. (2010) · Science · doi:10.1126/science.1199644 · Cited by 3,235

Show all 51 references

Research works printed but not linked: 6

Berente N., 2014, Paper presented at the 20th Americas Conference on Information Systems (AMCIS)
Blei D., 2003, Journal of Machine Learning Research, 3, 993
Frawley W., 1992, Al Magazine, 13, 57
Jagarlamudi J., 2012, Paper presented at the 13th Conference of the European Chapter of the Association for Computational Linguistics
Mimno D., 2011, Paper presented at the Conference on empirical methods in natural language processing
Nguyen L., 2015, Paper presented at the Pacific-Asia Knowledge Discovery and Data Mining

Sorted by citations

Guidelines for Bibliometric‐Systematic Literature Reviews: 10 steps to combine analysis, synthesis and theory development
Marzi, G., Balzano, M., Caputo, A., & Pellegrini, M. M. (2024) · International Journal of Management Reviews · doi:10.1111/ijmr.12381 · Cited by 831
Artificial intelligence in sepsis early prediction and diagnosis using unstructured data in healthcare
Goh, K. H., Wang, L., Yeow, A. Y. K., Poh, H., Li, K., Yeow, J. J. L., & Tan, G. Y. H. (2021) · Nature Communications · doi:10.1038/s41467-021-20910-4 · Cited by 415
Text Preprocessing for Text Mining in Organizational Research: Review and Recommendations
Hickman, L., Thapa, S., Tay, L., Cao, M., & Srinivasan, P. (2020) · Organizational Research Methods · doi:10.1177/1094428120971683 · Cited by 445
Artificial intelligence and the conduct of literature reviews
Wagner, G., Lukyanenko, R., & Paré, G. (2021) · Journal of Information Technology · doi:10.1177/02683962211048201 · Cited by 364
Virtually in this together – how web-conferencing systems enabled a new virtual togetherness during the COVID-19 crisis
Hacker, J. V., Brocke, J. V., Handali, J. P., Otto, M., & Schneider, J. (2020) · European Journal of Information Systems · doi:10.1080/0960085x.2020.1814680 · Cited by 315
Special Issue Editorial –Accumulation and Evolution of Design Knowledge in Design Science Research: A Journey Through Time and Space
Brocke, J. V., Winter, R., Hevner, A. R., & Maedche, A. (2020) · Journal of the Association for Information Systems · doi:10.17705/1jais.00611 · Cited by 254
Where is “behavior” in organizational behavior? A call for a revolution in leadership research and beyond
Banks, G. C., Woznyj, H. M., & Mansfield, C. A. (2021) · The Leadership Quarterly · doi:10.1016/j.leaqua.2021.101581 · Cited by 184
Computational Literature Reviews: Method, Algorithms, and Roadmap
Antons, D., Breidbach, C. F., Joshi, A. M., & Salge, T. O. (2021) · Organizational Research Methods · doi:10.1177/1094428121991230 · Cited by 165
Employing structural topic modelling to explore perceived service quality attributes in Airbnb accommodation
Ding, K., Choo, W. C., Ng, K. Y., & Ng, S. I. (2020) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2020.102676 · Cited by 138
Leadership in the digital era: A review of who, what, when, where, and why
Banks, G. C., Dionne, S. D., Mast, M. S., & Sayama, H. (2022) · The Leadership Quarterly · doi:10.1016/j.leaqua.2022.101634 · Cited by 155
Analysis of Worldwide Research Trends on the Impact of Artificial Intelligence in Education
Paek, S., & Kim, N. (2021) · Sustainability · doi:10.3390/su13147941 · Cited by 197
Selecting the Number and Labels of Topics in Topic Modeling: A Tutorial
Weston, S. J., Shryock, I., Light, R., & Fisher, P. A. (2023) · Advances in Methods and Practices in Psychological Science · doi:10.1177/25152459231160105 · Cited by 118
A new tool for policymakers: Mapping cultural possibilities in an emerging AI entrepreneurial ecosystem
Hannigan, T. R., Briggs, A. R., Valadão, R., Seidel, M. L., & Jennings, P. D. (2021) · Research Policy · doi:10.1016/j.respol.2021.104315 · Cited by 99
Regulated Dependence: Platform Workers’ Responses to New Forms of Organizing
Karanović, J., Berends, H., & Engel, Y. (2020) · Journal of Management Studies · doi:10.1111/joms.12577 · Cited by 93
From Big Data to Rich Theory: Integrating Critical Discourse Analysis with Structural Topic Modeling
Aranda, A. M., Sele, K., Etchanchu, H., Guyt, J. Y., & Vaara, E. (2021) · European Management Review · doi:10.1111/emre.12452 · Cited by 89
Customer expectations in the hotel industry during the COVID-19 pandemic: a global perspective using sentiment analysis
Mehta, M. P., Kumar, G., & Ramkumar, M. (2021) · Tourism Recreation Research · doi:10.1080/02508281.2021.1894692 · Cited by 88
Application of structural topic modeling to aviation safety data
Rose, R. L., Puranik, T. G., Mavris, D. N., & Rao, A. H. (2022) · Reliability Engineering & System Safety · doi:10.1016/j.ress.2022.108522 · Cited by 85
A Topic Modelling Analysis of Living Labs Research
Westerlund, M., Leminen, S., & Rajahonka, M. (2018) · Technology Innovation Management Review · doi:10.22215/timreview/1170 · Cited by 75
Using structural topic modeling to gain insight into challenges faced by leaders
Tonidandel, S., Summerville, K. M., Gentry, W. A., & Young, S. F. (2021) · The Leadership Quarterly · doi:10.1016/j.leaqua.2021.101576 · Cited by 79
Exploring the underlying factors of customer value in restaurants: A machine learning approach
Kwon, W., Lee, M., & Back, K. (2020) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2020.102643 · Cited by 74
Tracing the Trends in Sustainability and Social Media Research Using Topic Modeling
Lee, J. H., Wood, J., & Kim, J. (2021) · Sustainability · doi:10.3390/su13031269 · Cited by 82
Discovering IoT implications in business and management: A computational thematic analysis
Delgosha, M. S., Hajiheydari, N., & Talafidaryani, M. (2021) · Technovation · doi:10.1016/j.technovation.2021.102236 · Cited by 63
A Comprehensive Survey of Artificial Intelligence Techniques for Talent Analytics
Qin, C., Zhang, L., Cheng, Y., Zha, R., Shen, D., Zhang, Q., Chen, X., Sun, Y., Zhu, C., Zhu, H., et al. (2025) · Proceedings of the IEEE · doi:10.1109/jproc.2025.3572744 · Cited by 144
Using Process Mining to Support Theorizing About Change in Organizations
Grisold, T., Wurm, B., Mendling, J., & Brocke, J. V. (2020) · Hawaii International Conference on System Sciences (HICSS) · doi:10.24251/hicss.2020.675 · Cited by 60
Ethical use of artificial intelligence based tools in higher education: Are future business leaders ready?
Mumtaz, S., Carmichael, J., Weiss, M., & Nimon-Peters, A. (2025) · Education and Information Technologies · doi:10.1007/s10639-024-13099-8 · Cited by 55
A Paradigm Shift from “Human Writing” to “Machine Generation” in Personality Test Development: an Application of State-of-the-Art Natural Language Processing
Lee, P., Fyffe, S., Son, M., Jia, Z., & Yao, Z. (2022) · Journal of Business and Psychology · doi:10.1007/s10869-022-09864-6 · Cited by 62
What Makes a Good Review Article? Empirical Evidence From Management and Organization Research
Krlev, G., Hannigan, T. R., & Spicer, A. (2025) · Academy of Management Annals · doi:10.5465/annals.2021.0051 · Cited by 52
Mapping human resource development: Visualizing the past, bridging the gaps, and moving toward the future
Shirmohammadi, M., Mehdiabadi, A. H., Beigi, M., & McLean, G. N. (2020) · Human Resource Development Quarterly · doi:10.1002/hrdq.21415 · Cited by 52
Social, commercial, or both? An exploratory study of the identity orientation of digital social innovations
Bonina, C., Berzosa, D. L., & Scarlata, M. (2020) · Information Systems Journal · doi:10.1111/isj.12290 · Cited by 57
Enhance understandings of Online Food Delivery's service quality with online reviews
Ma, B., Wong, Y. D., Teo, C., & Wang, Z. (2023) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2023.103588 · Cited by 61
A text mining-based review of the literature on dynamic capabilities perspective in information systems research
Talafidaryani, M. (2020) · Management Research Review · doi:10.1108/mrr-03-2020-0139 · Cited by 45
Automated Visual Content Analysis (AVCA) in Communication Research: A Protocol for Large Scale Image Classification with Pre-Trained Computer Vision Models
Araujo, T., Lock, I., & van de Velde, B. (2020) · Communication Methods and Measures · doi:10.1080/19312458.2020.1810648 · Cited by 49
Statesmen or cheerleaders? Using topic modeling to examine gendered messages in narrative developmental feedback for leaders
Doldor, E., Wyatt, M., & Silvester, J. (2019) · The Leadership Quarterly · doi:10.1016/j.leaqua.2019.101308 · Cited by 43
Combating Loneliness with Artificial Intelligence: An AI-Based Emotional Support Model
Sullivan, Y., Nyawa, S., & Fosso Wamba, S. (2023) · Proceedings of the Annual Hawaii International Conference on System Sciences · doi:10.24251/hicss.2023.541 · Cited by 44
Research trends of sustainability and marketing research, 2010–2020: Topic modeling analysis
Jung, Y. J., & Kim, Y. (2023) · Heliyon · doi:10.1016/j.heliyon.2023.e14208 · Cited by 56
Digital proctoring in higher education: a systematic literature review
Han, S., Nikou, S., & Ayele, W. Y. (2023) · International Journal of Educational Management · doi:10.1108/ijem-12-2022-0522 · Cited by 58
Digital innovation strategies in the public sector
Guenduez, A. A., Demircioğlu, M. A., Mueller, E. M., & Cinar, E. (2025) · Research Policy · doi:10.1016/j.respol.2025.105274 · Cited by 60
A Text-Mining Analysis on the Review of the Non-Financial Reporting Directive: Bringing Value Creation for Stakeholders into Accounting
Fiandrino, S., & Tonelli, A. (2021) · Sustainability · doi:10.3390/su13020763 · Cited by 39
Editorial: Innovative Data – Use-Cases in Management Accounting Research and Practice
Mahlendorf, M. D., Martin, M., & Smith, D. (2022) · European Accounting Review · doi:10.1080/09638180.2023.2213258 · Cited by 49
The decline of organizational sociology? An empirical analysis of research trends in leading journals across half a century
Grothe‐Hammer, M., & Kohl, S. (2020) · Current Sociology · doi:10.1177/0011392120907627 · Cited by 38
A decade of learning analytics: Structural topic modeling based bibliometric analysis
Chen, X., Zou, D., & Xie, H. (2022) · Education and Information Technologies · doi:10.1007/s10639-022-11046-z · Cited by 40
Contextualizing the rural in digital studies: A computational literature review of rural-digital relations
Zhang, Q., Webster, N. A., Han, S., & Ayele, W. Y. (2023) · Technology in Society · doi:10.1016/j.techsoc.2023.102373 · Cited by 37
Using Supervised Machine Learning in Automated Content Analysis: An Example Using Relational Uncertainty
Pilny, A. N., McAninch, K. G., Slone, A., & Moore, K. (2019) · Communication Methods and Measures · doi:10.1080/19312458.2019.1650166 · Cited by 35
The impact of AI-enabled CRM systems on organizational competitive advantage: A mixed-method approach using BERTopic and PLS-SEM
Yoo, J. W., Park, J., & Park, H. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e36392 · Cited by 54
Two decades of research on customer satisfaction: future research agenda and questions
Nunkoo, R., Sharma, A., So, K. K. F., Hu, H., & Alrasheedi, A. F. (2025) · International Journal of Contemporary Hospitality Management · doi:10.1108/ijchm-03-2024-0436 · Cited by 33
The framing of green innovations—a comparative topic modeling study on the public frames of the electric vehicle in Germany and UK
Bohn, S., & Rogge, J.-C. (2022) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2022.132499 · Cited by 36
Understanding decentralized autonomous organizations from the inside
Augustin, N., Eckhardt, A., & de Jong, A. W. (2023) · Electronic Markets · doi:10.1007/s12525-023-00659-y · Cited by 32
What you see is what you get? Measuring companies' projected employer image attributes via companies' employment webpages
Theurer, C. P., Schäpers, P., Tumasjan, A., Welpe, I. M., & Lievens, F. (2021) · Human Resource Management · doi:10.1002/hrm.22085 · Cited by 41
Advancing Reproducibility and Accountability of Unsupervised Machine Learning in Text Mining: Importance of Transparency in Reporting Preprocessing and Algorithm Selection
Valtonen, L., Mäkinen, S., & Kirjavainen, J. (2022) · Organizational Research Methods · doi:10.1177/10944281221124947 · Cited by 31
Recommend or not: A comparative analysis of customer reviews to uncover factors influencing explicit online recommendation behavior in peer-to-peer accommodation
Ding, K., Gong, X. Y., Huang, T., & Choo, W. C. (2024) · European Research on Management and Business Economics · doi:10.1016/j.iedeen.2023.100236 · Cited by 30
Exploring the Discrepancy between Projected and Perceived Destination Images: A Cross-Cultural and Sustainable Analysis Using LDA Modeling
Chen, Q., Xu, S., Liu, R., & Jiang, Q. (2023) · Sustainability · doi:10.3390/su15129296 · Cited by 29
Measuring service quality with text analytics: Considering both importance and performance of consumer opinions on social and non-social online platforms
Lin, L., Xu, P., Wang, Y.-Y., & Wang, Y. (2023) · Journal of Business Research · doi:10.1016/j.jbusres.2023.114298 · Cited by 31
Identifying the intellectual structure of fields: introduction of the MAK approach
Köseoğlu, M. A. (2020) · Scientometrics · doi:10.1007/s11192-020-03719-8 · Cited by 29
Exploring Customers’ Luxury Consumption in Restaurants: A Combined Method of Topic Modeling and Three-Factor Theory
Kwon, W., Lee, M., & Bowen, J. T. (2021) · Cornell Hospitality Quarterly · doi:10.1177/19389655211037667 · Cited by 28
The German Supply Chain Due Diligence Act: impacts on sustainable supply chain management from a stakeholder perspective
Buttke, L., Schötteler, S., Seuring, S. A., & Ebinger, F. (2024) · Supply Chain Management An International Journal · doi:10.1108/scm-01-2024-0058 · Cited by 27
Exploring thematic composition of online reviews: A topic modeling approach
Vallurupalli, V., & Bose, I. (2020) · Electronic Markets · doi:10.1007/s12525-020-00397-5 · Cited by 26
Using text analytics to measure an effect of topics and sentiments on social-media engagement: Focusing on Facebook fan page of Toyota
Chun, H., Leem, B., & Suh, H. (2021) · International Journal of Engineering Business Management · doi:10.1177/18479790211016268 · Cited by 32
An approach for detecting the commonality and specialty between scientific publications and patents
Xu, S., Li, L., An, X., Hao, L., & Yang, G. (2021) · Scientometrics · doi:10.1007/s11192-021-04085-9 · Cited by 27
Institutional Perspectives on Digital Transformation
Gegenhuber, T. K., Logue, D. M., Hinings, C. R., & Barrett, M. I. (2022) · Research in the sociology of organizations · doi:10.1108/s0733-558x20220000083001 · Cited by 35
Risk disclosure and entrepreneurial resource acquisition in crowdfunding digital platforms: Evidence from digital technology ventures
Huo, H., Wang, C., Han, C., Yang, M., & Shang, W. (2024) · Information Processing & Management · doi:10.1016/j.ipm.2024.103655 · Cited by 28
A qualitative and quantitative analysis of open citations to retracted articles: the Wakefield 1998 et al.'s case
Heibi, I., & Peroni, S. (2021) · Scientometrics · doi:10.1007/s11192-021-04097-5 · Cited by 30
It is about inclusion! Mining online reviews to understand the needs of adaptive clothing customers
Li, M., Zhao, L., & Srinivas, S. (2023) · International Journal of Consumer Studies · doi:10.1111/ijcs.12895 · Cited by 26
Past, present and future: A systematic multitechnique bibliometric review of the field of distributed work
Lamovšek, A., & Černe, M. (2023) · Information and Organization · doi:10.1016/j.infoandorg.2022.100446 · Cited by 32
Investigating Emerging Trends in Sustainable Fashion Research: Topics, Challenges, Strategies, and Future Directions
Yadav, S. S., Kar, S. K., & Trivedi, S. K. (2024) · IEEE Transactions on Engineering Management · doi:10.1109/tem.2024.3362403 · Cited by 26
Digital innovation in management and business: A comprehensive review, multi-level framework, and future research agenda
Uršič, D., & Čater, T. (2025) · Journal of business research · doi:10.1016/j.jbusres.2025.115475 · Cited by 29
Understanding the Meaning of Concepts Across Domains Through Collocation Analysis: An Application to the Study of Red Tape
Kaufmann, W., & Haans, R. F. J. (2020) · Journal of Public Administration Research and Theory · doi:10.1093/jopart/muaa020 · Cited by 31
Tracing the evolution of digitalisation research in business and management fields: Bibliometric analysis, topic modelling and deep learning trend forecasting
Talafidaryani, M., Jalali, S. M. J., & Moro, S. (2023) · Journal of Information Science · doi:10.1177/01655515221148365 · Cited by 25
Emergent affordances and potential challenges of mobile learning apps: insights from online reviews
Gholizadeh, M., Akhlaghpour, S., Isaias, P. T., & Namvar, M. (2021) · Information Technology and People · doi:10.1108/itp-05-2021-0412 · Cited by 24
The Organizational Impact of Business Model Innovation: Assessing the Person‐Organization Fit
Menter, M., Göcke, L., & Zeeb, C. (2022) · Journal of Management Studies · doi:10.1111/joms.12902 · Cited by 30
When subordinates do not follow: A typology of subordinate resistance as perceived by leaders
van der Velde, A., & Gerpott, F. H. (2023) · The Leadership Quarterly · doi:10.1016/j.leaqua.2023.101687 · Cited by 29
A one-hundred-year structural topic modeling analysis of the knowledge structure of international management research
Mostafa, M. M. (2022) · Quality & Quantity · doi:10.1007/s11135-022-01548-w · Cited by 26
Investigating electronic word‐of‐mouth on social media: An eye‐tracking approach
Yu, K. Y. T., Goh, K. H., & Kawasaki, S. (2022) · Human Resource Management · doi:10.1002/hrm.22099 · Cited by 22
Half a Century of NVSQ: Thematic Stability Across Years and Editors
Kang, C. H., Baek, Y. M., & Kim, H.-J. (2021) · Nonprofit and Voluntary Sector Quarterly · doi:10.1177/08997640211017676 · Cited by 21
Research Topics and Collaboration in Human Resource Development Review 2012–2021: A Bibliometrics Approach
Yoon, S. W., & Chae, C. (2022) · Human Resource Development Review · doi:10.1177/15344843211068807 · Cited by 20
A quantitative and qualitative open citation analysis of retracted articles in the humanities
Heibi, I., & Peroni, S. (2022) · Quantitative Science Studies · doi:10.1162/qss_a_00222 · Cited by 21
New Structuralism and Field Emergence: The Co-constitution of Meanings and Actors in the Early Moments of Social Impact Investing
Hannigan, T. R., & Casasnovas, G. (2020) · Emerald Group Publishing Limited eBooks · doi:10.1108/s0733-558x20200000068008 · Cited by 21
Enhancing Theorization Using Artificial Intelligence: Leveraging Large Language Models for Qualitative Analysis of Online Data
Quevedo, D. G., Glaser, A., & Verzat, C. (2025) · Organizational Research Methods · doi:10.1177/10944281251339144 · Cited by 25
Exploring job crafting as a response to abusive supervision
Masood, H., Karakowsky, L., & Podolsky, M. (2021) · Career Development International · doi:10.1108/cdi-06-2020-0163 · Cited by 22
How persuasive is woke brand communication on social media? Evidence from a consumer engagement analysis on Facebook
Mangiò, F., Pedeliento, G., Andreini, D., & Zarantonello, L. (2023) · Journal of Brand Management · doi:10.1057/s41262-023-00347-4 · Cited by 19
Growing with others: A longitudinal study of an evolving multi‐sided disruptive platform
Schmidt, A. L., Petzold, N., Lahme‐Hütig, N., & Tiemann, F. (2020) · Creativity and Innovation Management · doi:10.1111/caim.12401 · Cited by 21
What is the performance in public hospitals? A longitudinal analysis of performance plans through topic modeling
Noto, G., Verso, L., & Barresi, G. (2021) · BMC Health Services Research · doi:10.1186/s12913-021-06332-4 · Cited by 19
A 30-year journey of hospitality and tourism research: a comprehensive topic modeling analysis
Kurt, S., Assefa, F. Z., Tuzlukaya, Ş. E., & Karatepe, O. M. (2023) · International Journal of Contemporary Hospitality Management · doi:10.1108/ijchm-01-2023-0109 · Cited by 18
Value‐centric analysis of user adoption for sustainable urban micro‐mobility transportation through shared e‐scooter services
Çallı, L., & Çallı, B. A. (2024) · Sustainable Development · doi:10.1002/sd.3032 · Cited by 19
The moderating effect of organizational culture type on the relationship between cultural satisfaction and employee referral intention: mining employee reviews on glassdoor.com
Seo, J., & Lee, S. (2021) · Journal of Organizational Change Management · doi:10.1108/jocm-01-2021-0009 · Cited by 18
Polishing the Gilt Edge: Elite Category Endurance and Symbolic Boundaries in U.S. Luxury Hotels, 1790–2015
Lockwood, C., Glynn, M. A., & Giorgi, S. (2021) · Academy of Management Journal · doi:10.5465/amj.2020.0201 · Cited by 17
Artificial intelligence trend analysis on healthcare podcasts using topic modeling and sentiment analysis: a data-driven approach
Dumbach, P., Schwinn, L., Löhr, T., Long, P., & Eskofier, B. M. (2023) · Evolutionary Intelligence · doi:10.1007/s12065-023-00878-4 · Cited by 16
Exploring Information Systems Curricula
Föll, P., & Thiesse, F. (2021) · Business & Information Systems Engineering · doi:10.1007/s12599-021-00702-2 · Cited by 16
Young adults’ pathway to digital entrepreneurship: from ideas to innovation
Çela, A., Mansi, E., & Morina, F. (2024) · European Journal of Innovation Management · doi:10.1108/ejim-04-2024-0486 · Cited by 15
Conceptualizing Echo Chambers and Information Cocoons: A Literature Review and Synthesis of Current Knowledge and Future Directions
Liu, J., Schwarz, A., Risius, M., Hirschheim, R., & Scotter, J. R. V. (2025) · The Journal of Strategic Information Systems · doi:10.1016/j.jsis.2025.101904 · Cited by 20
A two-staged NLP-based framework for assessing the sentiments on Indian supreme court judgments
Gupta, I., Chatterjee, I., & Gupta, N. (2023) · International Journal of Information Technology · doi:10.1007/s41870-023-01273-z · Cited by 15
Who knows it better? Reassessing human qualitative analysis with text mining
Marcolin, C. B., Diniz, E. H., Becker, J. L., & de Oliveira, H. P. G. (2023) · Qualitative Research in Organizations and Management An International Journal · doi:10.1108/qrom-07-2021-2173 · Cited by 15
Bibliometric and Topic Modeling Analysis of Corporate Social Irresponsibility
Mendiratta, A., Singh, S., Yadav, S. S., & Mahajan, A. (2023) · Global Journal of Flexible Systems Management · doi:10.1007/s40171-023-00343-2 · Cited by 15
A hybrid human–AI tool for scientometric analysis
Correia, A., Grover, A., Jameel, S., Schneider, D., Antunes, P. A., & Fonseca, B. (2023) · Artificial Intelligence Review · doi:10.1007/s10462-023-10548-7 · Cited by 18
Investigating The Impact of Organizational Culture on Employee Retention: Moderating Role of Employee Engagement
(2023) · Journal of System and Management Sciences · doi:10.33168/jsms.2023.0429 · Cited by 15
How do people perceive the quality of urban transport service? New insights from online reviews of Shanghai metro system
Dou, M., Gu, Y., & Gong, J. (2024) · Journal of Urban Management · doi:10.1016/j.jum.2024.07.008 · Cited by 15
Exploring Latent Topics and International Research Trends in Competency-Based Education Using Topic Modeling
Paek, S., Um, T., & Kim, N. (2021) · Education Sciences · doi:10.3390/educsci11060303 · Cited by 15
The influence of Alasdair MacIntyre’s “After Virtue” book on business ethics studies: A citation concept analysis
Akgün, A. E., Keski̇n, H., & Fidan, S. Ş. (2021) · Business Ethics the Environment & Responsibility · doi:10.1111/beer.12393 · Cited by 15
A Machine-Learning Analysis of the Impacts of the COVID-19 Pandemic on Small Business Owners and Implications for Canadian Government Policy Response
Isabelle, D. A., Han, Y., & Westerlund, M. (2022) · Canadian Public Policy · doi:10.3138/cpp.2021-018 · Cited by 15
The Internet Never Forgets: A Four-Step Scraping Tutorial, Codebase, and Database for Longitudinal Organizational Website Data
Haans, R. F. J., & Mertens, M. J. (2024) · Organizational Research Methods · doi:10.1177/10944281241284941 · Cited by 14
The evolution of university technology transfer research: a text mining approach
Cunningham, J. A., Menter, M., & Starke, F. (2025) · The Journal of Technology Transfer · doi:10.1007/s10961-024-10133-2 · Cited by 19

Authors: Schmiedel, T., Müller, O., & vom Brocke, J.
Affiliations: University of Liechtenstein (LI)
IT University of Copenhagen (DK)
University of Liechtenstein, Liechtenstein
Corresponding author: Schmiedel, Theresa
ORCID: Schmiedel, Theresa
Venue: Organizational Research Methods
Publisher: SAGE Publications
Published: 2018-05-06
Volume: 22
Issue: 4
Pages: 941-968
ISSN: 1094-4281 (ISSN-L)
1552-7425
DOI: 10.1177/1094428118773858
OpenAlex: W2801182247
Cited by: 319
References: 51
Citations by year: 2026: 34 · 2025: 54 · 2024: 53 · 2023: 61 · 2022: 44 · 2021: 42 · 2020: 23 · 2019: 6 · 2018: 2
FWCI: 67.52
Type: journal article
Language: en
Open access: green
pure.itu.dk
Licence: other-oa
journals.sagepub.com/page/policies/text-and-data-mining-license (tdm)
Locations: Organizational Research Methods (publishedVersion)
IT University Of Copenhagen (IT University of Copenhagen) (submittedVersion, other-oa)
Zürcher Hochschule für Angewandte Wissenschaften digital collection (Zurich University of Applied Sciences) (submittedVersion, cc-by-nc-nd)
Topics: Social Sciences › General Social Sciences › Computational and Text Analysis Methods
Physical Sciences › Computer Science › Artificial Intelligence › Topic Modeling
Physical Sciences › Computer Science › Artificial Intelligence › Sentiment Analysis and Opinion Mining
Keywords: topic modeling, structural topic modeling, text mining, organizational culture, employee perceptions, Glassdoor reviews, Fortune 500 companies

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Topic Modeling as a Strategy of Inquiry in Organizational Research: A Tutorial With an Application Example on Organizational Culture

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Self-check

Citations

Cites

Cited by

Related

Metadata

Record

About these checks