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In this study negotiated exchange under the 1-exchange rule is considered in the whole population of 142,660 exchange networks up to size 9. A review shows that 51 of these networks have been studied in the literature. Predictions for the whole population of networks are derived by parsimonious versions of power-dependence and exchange-resistance theory. All but 301 networks are classified similarly as equal, weak, or strong power networks by the power-dependence and exchange-resistance theory. Only 4% of the networks is classified as a strong power network, as opposed to the 43% of the networks studied in the literature.

A valuable, although little-used, case data analysis technique, degrees-of-freedom analysis (DFA), is the subject of Chapter 12. Given the richness of case data and its prevalence in business marketing research, DFA has the potential to become an important addition to one's “research workbench.” Donald Campbell (1975) first proposed this theory testing.

This chapter presents three business-to-business marketing applications; the first two involve use of the technique to compare the extent to which four theories of group decision making are manifested in organizations. The third application illustrates how the technique is useful for theory development in the context of manufacturer–distributor relationships. The contribution is in demonstrating how researchers can link “traditional” (i.e., logical positivistic) hypothesis testing procedures to examine theoretical propositions in case study research. This approach is one way of achieving a critical test (Carlsmith, Ellsworth, & Aronson, 1976), that is, testing the relative empirical strengths of competing theories. The chapter highlights the value of generalizing case data to theory versus the inappropriate attempt to generalize such data to a population (Yin, 1994). The explication and demonstration of this technique is not available elsewhere to the degree that Chapter 12 provides.

In this chapter we ask a simple question: how can we tell if strategic management research is making progress? While other limitations are noted, we argue that it is the absence of metrics for gauging research progress that is most limiting. We propose that research should focus on measures of effect size and that “precision” and “generalizability” in our predictions of important phenomena represent the core metrics that should be used to judge whether progress is occurring. We then discuss how to employ these metrics and examine why existing research practices are likely to hinder efforts to develop cumulative knowledge.

Good research goes beyond testing the aggregate predictions of a theory to test the theory's underlying mechanism. A mechanism is a plausible account of the process that causes a systematic relationship between variables. Strategy researchers particularly need to understand the mechanisms that drive firm behavior and outcomes because we seek both to explain and offer prescriptions. We recommend that theories clearly specify their mechanisms and that empirical research test such mechanisms. Such tests will help differentiate among theories with similar aggregate predictions.

This exposition explains how Elementary Theory works and how it has been developed over the last two-and-a-half decades. Both increased scope and heightened precision are covered.

Theoretic methodology is explained. Using that method formal models are constructed analogous to empirical events. Those models predict events, design experiments, and guide applications in the field.

There is a widely held belief in sociology that theory becomes more vague and imprecise as its scope broadens. Whereas broader generalizations are more vague than narrower ones, this exposition shows that abstract theory becomes more precise as its scope broadens.

Here implications and limitations are closely connected. Regarding implications, this exposition shows that scientific explanations and predictions are viable today in sociology but only when exact theory is employed. Regarding limitations, the theory and research included in this exposition make clear why the empiricist search for regularities that dominates sociological research is so very limited in its results.

This exposition demonstrates that theory is the method of all the sciences and in particular the science of sociology.

This chapter identifies research advances in theory and analytics that contribute successfully to the primary need to be filled to achieve scientific legitimacy: configurations that include accurate explanation, description, and prediction – prediction here refers to predicting future outcomes and outcomes of cases in samples separate from the samples of cases used to construct models. The MAJOR PARADOX: can the researcher construct models that achieve accurate prediction of outcomes for individual cases that also are generalizable across all the cases in the sample? This chapter presents a way forward for solving the major paradox. The solution here includes philosophical, theoretical, and operational shifts away from variable-based modeling and null hypothesis statistical testing (NHST) to case-based modeling and somewhat precise outcome testing (SPOT). These shifts are now occurring in the scholarly business-to-business literature.

To provide a comprehensive review of theoretical and research advances in affect control theory from 1988 to 2013 for academic and student researchers in social psychology.

Against the background of a concise history of affect control theory from its beginnings in the 1960s to its maturation in the late 1980s, a comprehensive review of research and publications in the last 25 years is reported in five sections: Theoretical Advances (e.g., self and institutions, nonverbal behavior, neuroscience, artificial intelligence); Technological Advances (e.g., electronic data collection, computer simulations, cultural surveys, equation refinement, small groups analysis); Cross-Cultural Research (archived data and published analyses); Empirical Tests of the Theory; and Substantive Applications (e.g., emotions, social and cultural change, occupations/work, politics, gender/ideology/subcultures, deviance, criminology, stereotyping, physiological behavior).

Reveals an impressive number of publications in this area, including over 120 articles and chapters and four major books, and a great deal of cross-cultural research, including European, Asian, and Middle-Asian cultures.

Because of limitations of space, the review does not cover the large number of theses, dissertations, and research reports.

No other review of affect control theory with this scope and detail exists.