Prototypes and Strategy: Assigning Causal Credit Using Fuzzy Sets

Strategies often are stylized on the basis of particular prototypes (e.g. differentiate or low cost) whose efficacy is uncertain often due to uncertainty of complex interactions among its elements. Because of the difficulty in assigning causal credit to a given element for an outcome, the adoption of better practices that constitute strategies is frequently characterized as lacking in causal validity. We apply Ragin\u27s (2000) fuzzy logic methodology to identify high performance configurations in the 1989 data set of MacDuffie (1995). The results indicate that discrete prototypes of practices are associated with higher performance, but that the variety of outcomes points to experimentation and search. These results reflect the fundamental challenge of complex causality when there is limited diversity in observed experiments given the large number of choice variables. Fuzzy set methodology provides an approach to reduce this complexity by logical rules that permit an exploration of the simplifying assumptions. It is this interaction between prototypical understandings of strategy and exploration in the absence of data that is the most important contribution of this methodology

MAKING COMPARATIVE ANALYSIS COUNT

Often, when social scientists hear the phrase general knowledge they immediately start thinking in terms of relationships between abstract concepts represented in terms of variables. They have been trained to equate general knowledgewith discourse about relationships between variables. For example, a social scientistmight observe that the most economically advanced countries are also stabledemocracies and from this observation posit that there is a general relationship betweendevelopment and democracy. Thus, he or she might state, in general knowledge terms,that "economic development furthers democratic stability, as seen in the correlationbetween the variables democracy and development." In this paper, I argue that generalknowledge can come in other forms and that it is not dependent on a discourse groundedin correlations between variables

Continuity and Change in Howard S. Becker's work: An Interview with Howard S. Becker

Howard S. Becker is one of the foremost sociologists of the second half of the twentieth century. Although he is perhaps best known for research on deviance and his book Outsiders, this constitutes only a very small fraction of his earliest work. This interview looks at some of the continuities and cores of his work over ?fifty years. Becker highlights how his work maintains the same core concerns, although new interests have been added over time. At the core is a concern with 'work' and 'doing things together.' Becker provides many concrete stories from the past and also raises issues about the nature of doing theory and research, how he writes and produces his studies, and the problems attached to the professionalization of sociology. His writing on art and culture can be seen as assuming a major position in his later work, but he does not identify with either postmodernism or cultural studies

A Chemistry of Organization: Combinatory Structural Analysis and Design

This paper is a response to the call for models of organization design as a science revealing the inner composition of organization and specifying the laws to be respected when crafting it. It maintains that the needed science is a chemistry of organization, addressing the combination of 'organizational elements' playing a role analogous to that of chemical elements in composing a variety of substances. Drawing both on classic organization design theory and on configurational and complementarity-based approaches, the paper specifies a set of basic organizational elements and a set of combinatory laws regulating their effective combinations. Testable propositions are derived on the necessary and sufficient conditions that the composition of organizations should have respect for achieving high levels of efficiency and innovation. These propositions are tested empirically on a sample of firms, using an innovative application of Boolean algebra

Concepts and Measurement in Multimethod Research

This article argues that concept misformation and conceptual stretching undermine efforts to combine qualitative and quantitative methods in multimethod research (MMR). Two related problems result from the mismatch of qualitatively and quantitatively construed concepts. Mechanism muddling occurs when differences in the connotation of qualitatively and quantitatively construed concepts embed different causal properties into conceptual definitions. Conceptual slippage occurs when qualitatively and quantitatively construed concepts use incompatible nominal, ordinal, or radial scales. Instead of gaining leverage from the synthesis of large- and small-N analysis, these problems can push MMR in two diametrically opposed directions, emphasizing one methodological facet at the cost of the other.Yeshttps://us.sagepub.com/en-us/nam/manuscript-submission-guideline