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Sentiment analysis is a text analysis method that is developed for systematically detecting, identifying, or extracting the emotional intent of words to infer if the text expresses a positive or negative tone. Although this novel method has opened an exciting new avenue for organizational research – mainly due to the abundantly available text data in organizations and the well-developed sentiment analysis techniques, it has also posed a serious challenge to many organizational researchers. This chapter aims to introduce the sentiment analysis method in the text mining area to the organizational research community. In this chapter, the authors first briefly discuss the central role of sentiment in organizational research and then introduce the traditional and modern approaches to sentiment analysis. The authors further delineate research paradigms for text analysis research, advocating the iterative research paradigm (cf., inductive and deductive research paradigms) that is more suitable for text mining research, and also introduce the analytical procedures for sentiment analysis with three stages – discovery, measurement, and inference. More importantly, the authors highlight both the dictionary-based and machine learning (ML) approaches in the measurement stage, with special coverage on deep learning and word embedding techniques as the latest breakthroughs in sentiment and text analyses. Lastly, the authors provide two illustrative examples to demonstrate the applications of sentiment analysis in organizational research. It is the authors’ hope that this chapter – by providing these practical guidelines – will help facilitate more applications of this novel method in organizational research in the future.

Philosophical reflection is a reflection of a school’s organizational structure. This study employs formal and computational methods to examine closely the culture/structure duality in the Frankfurt School’s formation and fragmentation over several decades by examining the homology between its social and conceptual networks.

On the one side, I produce social structural data from archival research on the Frankfurt School’s set of social relations. On the other side, I use computer-assisted textual analysis to produce concept maps of key texts by the same thinkers. Analyzing these networks jointly, I then investigate the dyadic social and cultural processes that contributed to the school’s fragmentation and show that:

1. The Frankfurt School’s social structure and idea structure were positively correlated over three decades as the school moved from an era of social and intellectual coherence to an era of fragmentation.

2. While we normally imagine the duality of structure and culture as a positive correlation between social and cultural relations, it can also appear as a strong negative correlation. Leo Löwenthal’s expulsion from the school is such a case. As a peripheral member, Löwenthal’s attempt to engage more strongly with the school’s core ideas was interpreted as presumptuous and low quality by core members who strictly policed the social and intellectual structure of the school. As a result of his ambition, Löwenthal was expelled.

The Frankfurt School’s social structure and idea structure were positively correlated over three decades as the school moved from an era of social and intellectual coherence to an era of fragmentation.

While we normally imagine the duality of structure and culture as a positive correlation between social and cultural relations, it can also appear as a strong negative correlation. Leo Löwenthal’s expulsion from the school is such a case. As a peripheral member, Löwenthal’s attempt to engage more strongly with the school’s core ideas was interpreted as presumptuous and low quality by core members who strictly policed the social and intellectual structure of the school. As a result of his ambition, Löwenthal was expelled.

This paper develops a semantic network approach to analyzing the relation between structural and cultural ties while illustrating the complex ways in which cultural and structural facets of a philosophical school develop in a duality.

The conception of markets as interfaces connecting semi-autonomous systems of producers and customers has led to an extensive use of social network analysis. So far, the network focus has been on connections among people, paying less attention to the crucial role played by connections between cultural elements (e.g., concepts, representations, ideas) in the way markets are formed and sustained. Such connections constitute “semantic networks” and are the focus of the present article. We attend to them by developing a network view of the cultural dimension of markets and apply it in an empirical setting where culture plays a crucial role – luxury watchmaking – to illustrate the impact of market semantic networks on a major outcome: price.

This article discusses how certain sensibilities and techniques from a network perspective can facilitate different levels of thinking about symbolic interaction in mediated contexts. The concept of network implies emergent structures that shift along with the people whose connections construct these webs of significance. A network sensibility resonates with contemporary social media contexts in that it focuses less on discrete objects and more on the entanglements among elements that may create meaning. From a methodological stance, this involves greater sensitivity to movement and connection, both in the phenomenon and in the researcher’s relationship to this flow. The goal is to embody the perspective of moving with and through the data, rather than standing outside it as if it can be observed, captured, isolated, and scrutinized outside the flow. Rather than reducing the scope, the practice of moving through and analyzing various elements of networks generates more data, more directions, and more layers of meaning. We describe various ways a network sensibility might engender more creative and ethically grounded approaches to studying contemporary cultures of information flow.

This chapter conceptualizes computational methods across three related, yet distinct approaches: (1) Social Simulation, (2) Data Science, and (3) Big Data. Group communication research is then situated and reviewed along these three lines of research. Although some areas have considerable visibility (e.g., network analysis, text mining), some areas are less visible in group communication research (e.g., Social Simulation, Big Data designs). The chapter concludes with suggestions for issues regarding reliability, validity, and ethics.

Most of us have experienced the “small world” phenomenon; you meet a stranger while traveling or waiting in a queue, for example, and begin to discuss where you are from, what type of work you do, or why you are at this certain location. Surprisingly, you and the stranger discover you both know the same person, possibly from your hometown, academic department, or children's school. You both remark “what a small world” and then go on your way. Small worlds are just one example of social networks, or how individuals know one another. Social scientists have been interested in this phenomenon since the 1930s and have developed network analysis tools to gain an understanding of how social networks are formed and evolve. These methods have improved significantly over the past 15 years and may provide an informative lens through which to investigate international entrepreneurship (IE).

Habermas’ theory of the structural transformation of the public sphere has been a point of departure for theoretical debate for more than forty years. Habermas’ explains the decline of a discursive space for public discussion of collective interests as resulting from the emergence of consumer culture in post-industrial capitalism. Whereas the public sphere was originally a location of rational-critical activity, public life today is a spectator sport. The dominance of media corporations has undermined the potential for critical debate of pressing social issues, including race. This study seeks to illuminate the change in public discussions of race in New York City. A comparison is made between nineteenth-century and contemporary discourse. The nineteenth-century discourse is represented by texts from The Weekly Advocate and The Colored American, two important black Abolitionist newspapers published in New York City between 1837 and 1841; this discourse has a two-sided focus: an attack on slavery and a call for civil rights, and as such, combines analysis of the violence of racism and the nature of racial inequality. To find a parallel in the contemporary discourse, news articles from New York Times, from 1998, were collected. An innovative semiotic content coding strategy is used to describe the conceptual network and ideology of public discussions of race in New York City.

This chapter opens up a question central to the mission of the business in society field as it has evolved since the formation of division in the Academy of Management (AOM): What are the (future) distinctive competencies of business in society scholarship? We first empirically demonstrate that core topics to the business in society field, as represented by the Social Issues in Management (SIM) Division of the AOM, are now disseminated broadly throughout the management academy, represented by AOM. We call this dissemination the popularity paradox, because it demonstrates that SIM is not well connected with other divisions, that is, sub-disciplines of management despite that they are now regularly dealing with its core questions. Given that SIM’s (and business in society’s) traditional foci are now widely dispersed, the authors argue that it is time for business in society scholars, with SIM as proxy, to begin tackling new core issues that put growing civilizational threats around sustainability and the consequent need for system change and transformation front and center. In a sense, the authors argue that business in society scholars need to return to their roots of seriously questioning the roles and functions of businesses in society through a critical lens that asks and seeks to answer – today’s emerging new and tough questions, though the questions now emphasize the sustainability of human civilization as we know it.