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Board Processes and Performance: The Impact of Directors’ Social and Human Capital  

Morten Huse

What do we know about actual board behavior and board performance? How can we develop our knowledge about board processes and board members’ capabilities? As a research field grows into maturity, we learn to see nuances, and the vocabulary used becomes richer and more detailed. However, the development of a consistent and nuanced language in research about board processes and performance is lagging behind. How have research streams and individual scholars influenced how we do research today, and why are these stories not included in most of the published literature reviews on this topic? What distinguishes research about boards and governance from various disciplines? How do we find research about board processes and board capital, and how has groundbreaking research on the human side of corporate governance developed? Groundbreaking research of Myles Mace was conducted more than half a decade ago, and we need to understand what has taken place after the seminal 1989 contribution of Zahra and Pearce. Research about actual board behavior and processes were not for decades published in leading management and strategy journals. Most published research about board processes and board capital is formulaic, leans on proxies rather than direct observation, and has only incremental if any practical contributions. A message is thus that we should strive for more groundbreaking studies that challenge existing knowledge and practice, including our research practice. A research agenda about board processes and board capital should be influenced by some of the following suggestions: • It should go beyond formulaic and incremental studies. We should challenge existing wisdom and practice and search for alternative ways of doing research. • It should include more processual studies rather than archival data studies using proxies. • We should learn from the scholars doing groundbreaking research before us. • We should learn by comparing experiences from various types of organizations. • We must include lessons and publications not found in leading English-language journals. • We should apply a sharing philosophy and a programmatic approach in which we as researchers contribute to developing future generations of scholars.


Content and Text Analysis Methods for Organizational Research  

Rhonda K. Reger and Paula A. Kincaid

Content analysis is to words (and other unstructured data) as statistics is to numbers (also called structured data)—an umbrella term encompassing a range of analytic techniques. Content analyses range from purely qualitative analyses, often used in grounded theorizing and case-based research to reduce interview data into theoretically meaningful categories, to highly quantitative analyses that use concept dictionaries to convert words and phrases into numerical tables for further quantitative analysis. Common specialized types of qualitative content analysis include methods associated with grounded theorizing, narrative analysis, discourse analysis, rhetorical analysis, semiotic analysis, interpretative phenomenological analysis, and conversation analysis. Major quantitative content analyses include dictionary-based approaches, topic modeling, and natural language processing. Though specific steps for specific types of content analysis vary, a prototypical content analysis requires eight steps beginning with defining coding units and ending with assessing the trustworthiness, reliability, and validity of the overall coding. Furthermore, while most content analysis evaluates textual data, some studies also analyze visual data such as gestures, videos and pictures, and verbal data such as tone. Content analysis has several advantages over other data collection and analysis methods. Content analysis provides a flexible set of tools that are suitable for many research questions where quantitative data are unavailable. Many forms of content analysis provide a replicable methodology to access individual and collective structures and processes. Moreover, content analysis of documents and videos that organizational actors produce in the normal course of their work provides unobtrusive ways to study sociocognitive concepts and processes in context, and thus avoids some of the most serious concerns associated with other commonly used methods. Content analysis requires significant researcher judgment such that inadvertent biasing of results is a common concern. On balance, content analysis is a promising activity for the rigorous exploration of many important but difficult-to-study issues that are not easily studied via other methods. For these reasons, content analysis is burgeoning in business and management research as researchers seek to study complex and subtle phenomena.


Organizational Neuroscience  

Sebastiano Massaro and Dorotea Baljević

Organizational neuroscience—a novel scholarly domain using neuroscience to inform management and organizational research, and vice versa—is flourishing. Still missing, however, is a comprehensive coverage of organizational neuroscience as a self-standing scientific field. A foundational account of the potential that neuroscience holds to advance management and organizational research is currently a gap. The gap can be addressed with a review of the main methods, systematizing the existing scholarly literature in the field including entrepreneurship, strategic management, and organizational behavior, among others.