Bridging Quantitative and Qualitative
Content analysis is valuable in organizational research because it allows researchers to recover and examine the nuances of organizational behaviors, stakeholder perceptions, and societal trends. It is also an important bridge between purely quantitative and purely qualitative research methods.
In one regard, content analysis allows researchers to analyze socio-cognitive and perceptual constructs that are difficult to study via traditional quantitative archival methods. At the same time, it allows researchers to gather large samples that may be difficult to employ in purely qualitative studies.
Although content analysis is increasingly used by management researchers as a tool to analyze text and qualitative data, many researchers are unfamiliar with the various content analysis techniques and how to deal with challenges inherent in its application.
These challenges include finding adequate measures, developing proxy dictionaries and coding schemes, working with texts from various sources, ensuring reliability and validity, and conducting manual versus computer-aided content analysis.
"Content analysis is a class of research methods at the intersection of the qualitative and quantitative traditions. It is promising for rigorous exploration of many important but difficult-to-study issues of interest to organizational researchers in areas as diverse as business policy and strategy, managerial and organizational cognition, organizational behavior, human resources, social-issues management, technology and innovation management, international management, and organizational theory."
from Duriau, Reger, & Pfarrer, 2007.
A Content Analysis of the Content Analysis Literature in Organization Studies: Research Themes, Data Sources, and Methodological Refinements. Organization Research Methods, 10: 5–34.
"Our use of advanced content analysis techniques to code affective content of articles and blog posts continues to extend recent organizational research on social perceptions management that recognizes the importance of trying to open the “black box” that is often present in strategy research."
from Zavyalova, Pfarrer, Reger, & Shapiro, 2012.
Managing the Message: The Effects of Firm Actions and Industry Spillovers on Media Coverage Subsequent to Wrongdoing. Academy of Management Journal.
"Content analysis techniques can help bridge the gap between large-sample archival research, which may suffer from internal validity issues, and small sample research, which allows for the collection of primary data and in-depth analyses but may suffer from external validity problems. Analyzing the content of a firm’s press releases, media coverage, or stakeholder blogs can enhance archival research (which has been criticized for failure to provide insight into cognitive processes), while maintaining the advantages of using large samples."
from Pfarrer, Pollock, & Rindova, 2010.
A Tale of Two Assets: The Effects of Firm Reputation and Celebrity on Earnings Surprises and Investors’ Reactions. Academy of Management Journal, 53: 1131–1152
Andrevski’s research interests include competitive dynamics, strategic entrepreneurship and alliance networks. He uses a content analysis approach to examine competitive aggressiveness and entrepreneurial behavior of firms over time.
University of Illinois
Bednar's research focuses on corporate governance and executive leadership. He has used content analysis to measure the tone of media coverage and to examine how the media can serve as a governance mechanism and in some cases, prompt firm action.
Arizona State University
Bundy’s research focuses on the social and cognitive forces that shape organizational outcomes and behavior. He uses content analysis to study social evaluations, crisis management, and organizational wrongdoing. His content analysis experience ranges from simple hand-coding to advanced topic modelling and natural language processing.
University of Alberta
Deephouse used content analysis to examine the social evaluations of business organizations, specifically the legitimacy and reputation of Twin Cities commercial banks, the reputation of accounting firms, and stakeholder-specific evaluations of Wal-Mart.
ESCP Business School
Graf-Vlachy's research interests include the digital innovation, top executives, and organizational communication. He uses both manual qualitative and computer-aided quantitative methods of content analysis.
Texas Christian University
Harrison uses content analysis to examine social and psychological processes among top executives and corporate directors. His recent work has examined the tone of media coverage as a form of social evaluation influencing directors’ reputations and decisions to serve on particular boards. He is also using content analytic techniques to understand how executives’ cognitions and personalities influence firm-level outcomes.
University of Notre Dame
Hubbard researches social approval assets, Chief Executive Officers, and boards of directors. He has used a combination of dictionary-based and machine learning techniques to analyze rhetoric and discourse. His research has analyzed the content of press releases, media coverage, conference calls, Facebook posts, and transcripts from various experiments. His methods have used a combination of R, LIWC, and NVivo.
University of Edinburgh
Jones’s research interests focus on cultural frameworks, cultural meaning and social structures. She examines vocabularies to locate actors’ logics and cultural meanings within professions and creative industries.
Imperial College London
Kennedy’s research combines strategy and organization theory to understand how new product market categories, organizational forms, and related social movements come to be seen as social realities. He uses content analysis of media and online commentary to analyze the emergence of shared understanding of terms used to refer to these important social structures.
Kiley researches firm perceptions and impression management are related to significant firm outcomes and behaviors. His recent work uses content analysis for event classification, impression management detection, and sentiment analysis.
King's research focuses on how social movement activists influence corporate governance, organizational change, and legislative policymaking. He also studies the ways in which the organizational identities of social movement organizations and businesses emerge and transform in response to their institutional environments.
University of Passau
König studies the socio-cognitive effects of top executives’ communication. He uses various approaches of content analysis – from manual coding to deep learning algorithms – to measure concepts such as metaphorical communication, leader humor, cognitive frames, and the favorability of journalists and securities analysts.
McKenny’s research using content analysis has focused on how researchers can use computer-aided text analysis to measure organizational phenomena directly at the organizational level.
University of San Diego
Meyskens uses content analysis to analyze social ventures and corporate social responsibility trends. Specifically she has used Nvivo and manual content analysis to evaluate the profiles of social entrepreneurs and social venture business plans to better understand their partnerships and resources used to attain a competitive advantage. She also has content analyzed the websites of organizations to better understand their corporate social responsibility practices.
Penn State University
Misangyi researches how managerial and organizational actions influence and are influenced by their external environments. He has used content analysis techniques to examine the effects that charismatic language in organizational discourse (e.g., CEO vision statements in letters to shareholders) has on external organizational participants.(e.g., securities analysts).
University of Otago
O’Kane uses a combination of content analysis and grounded theory to explore the social impact of computer-mediated communication on the relationships and communication between employees within an organisation. Paula supports this through the use of Computer-Aided Qualitative Data Analysis Software (CAQDAS). She also has a keen interest in examining the impact of CAQDAS software within research projects.
University of Georgia
Pfarrer uses content analysis to examine external perceptions of firm actions related to reputation, celebrity, and crisis management. His recent research has analyzed traditional and web-based media accounts of stakeholders’ reactions to earnings surprises and product recalls.
Imperial College London
Phillips uses content analysis in research on organizational discourse, including theoretical and empirical applications.
University of Tennessee
Pollock uses content analysis to investigate the social construction of markets and the media’s impact on public impressions of the firm. Specifically, he has analyzed CEO celebrity, earnings surprises, and the role of market ”experts” in shaping impressions about IPO performance and survival.
University of North Texas
Reger uses content analysis to examine external perceptions of firm actions related to reputation dynamics. Along with Vincent Duriau and Michael Pfarrer, her paper exploring the uses of content analysis in management research won the 2007 best publication award from Organizational Research Methods. She first used content analysis in 1993 (with Marjorie Lyles) to study upward influence in joint ventures. Her recent research analyzes traditional and web-based media accounts of stakeholders’ reactions to product recalls and alternative energy.
University of Southern California
Rindova uses content analysis to examine patterns of organizational sensegiving and media sensemaking. She has conducted both open-ended and structured content analysis for theory development and theory testing.
University of North Texas
Short’s research focuses on multilevel determinants of firm performance, strategic decision processes, entrepreneurship, research methods, franchising and family business.
Weber examines cultural and institutional dynamics at the level of markets and fields. He uses content analysis to identify repertoires of meaning (cultural toolkits), and to relate these repertoires to social structures. He has used documents produced in different languages by firms, financial analysts, movement activists and newspapers; and analyzed them for sensemaking, framing and justification repertoires as well as for associative meaning structures.
Zachary uses content analysis to investigate phenomena related to issues of organizational identity and signaling by examining a variety of organizational narratives. His work has focused on operationalizing constructs using CATA and testing the performance implications of firm-level measures.
Zavyalova uses content analysis to study management of social approval assets, such as reputation and celebrity. She specifically focuses on the process of social perception management after wrongdoing. In a recent paper published in the Academy of Management Journal, Zavyalova employed manual and computer-assisted content analysis techniques in the context of product recalls.