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We discuss how experimental analysis can be integrated into strategic human resources management (SHRM) research in Africa so as to develop theory and value principles to guide executives.

The model we propose – experiment-based SHRM – is predicated on the use of experimental approaches to demonstrate the value of SHRM and to derive principles that guide research and practice in Africa.

We illustrate how scholars can conduct experiments from an SHRM perspective.

We discuss the strengths and limitations of the model and suggest ways of maximizing its potential.

The technique is a resource for scholars of SHRM in Africa. They can use it to supplement other approaches for studying SHRM.

This chapter discusses a typology of experimental analysis. The lack of such a typology in the context of Africa makes it a valuable contribution. Thus, it fills a contextual gap in the SHRM research methodology literature. It can therefore help graduate students and junior faculty improve their research.

Culture is a central concept broadly studied in social anthropology and sociology. It has been gaining increasing attention in economics, appearing in research on labor market discrimination, identity, gender, and social preferences. Most experimental economics research on culture studies cross-national or cross-ethnic differences in economic behavior. In contrast, we explain laboratory behavior using two cultural dimensions adopted from a prominent general cultural framework in contemporary social anthropology: group commitment and grid control. Groupness measures the extent to which individual identity is incorporated into group or collective identity; gridness measures the extent to which social and political prescriptions intrinsically influence individual behavior. Grid-group characteristics are measured for each individual using selected items from the World Values Survey. We hypothesize that these attributes allow us to systematically predict behavior in a way that discriminates among multiple forms of social preferences using a simple, parsimonious deductive model. The theoretical predictions are further tested in the economics laboratory by applying them to the dictator, ultimatum, and trust games. We find that these predictions are confirmed overall for most experimental games, although the strength of empirical support varies across games. We conclude that grid-group cultural theory is a viable predictor of people’s economic behavior, then discuss potential limitations of the current approach and ways to improve it.

Mediating effects are often tested using hierarchical multiple regression (HMR) procedures. Typical of the HMR-based strategies is the very frequently cited and widely used procedure described by Baron and Kenny (1986). Unfortunately, there are several important problems with it. More specifically, as we demonstrate below, it: (a) is of virtually no value for buttressing claims of mediating effects for data from non-experimental research; (b) produces erroneous inferences about the existence of mediating effects for misspecified mediation models; and (c) is incapable of providing credible evidence of such effects in a large proportion of cases, even for properly specified mediation models. We detail a number of important implications of our analyses.

Seeking to build an objective scientific approach to psychiatry, American psychiatrists, physiologists, and psychologists began to turn to the conditional reflex method of Ivan Pavlov from the late 1920s. The generation of “neurotic” animals in the laboratory was critical to the emergence of a new experimental psychiatry in the United States. To understand the development of this field of research, the chapter will draw first on Mary Morgan’s identification of the mediatory and intermediary role of models and their ability to surprise and generate new questions, and second, upon her recent work on narratives in science. It will argue that it was through discursive and descriptive techniques that traced over time the tangled and interconnected lives of experimental subjects, that such elements of unpredictability in the animal laboratory were transformed into tools of research and put to disciplinary uses, promoting the clinical relevance of this new objective approach to psychiatric medicine.

Companies are starting to capitalize on the potential of experimental economics as a decision-making tool. Hewlett-Packard (HP) is one of such pioneering companies. Experiments, conducted at HP Labs, were used to test retailer contract policies in three areas: return, minimum advertised-price (MAP), and market development funds. The experimental design models the multifaceted contemporary market of consumer computer products. While the model is quite complex, participants were found to be effective decisions-makers and that their behavior is sensitive to variations in policies. Based on the experimental results, HP changed its policies; for example, it made the consequences for minimum advertisement price violations forward-looking as well as backward-looking. This line of research appears promising for complex industrial environments. In addition, methodological issues are discussed in the context of differences between business and academic economics experiments. Finally, the author speculates about potential future business applications.

How should economists incorporate culture into their economic analysis? What empirical approaches to identifying, measuring, and analyzing the relationship between culture and economic action are most appropriate for economists? In particular, what can experimental economists learn from the methods of economic anthropologists, sociologists, and historians who study culture? We argue that while both quantitative and qualitative approaches can reveal interesting relationships between culture and economic actions/outcomes, especially in experimental research designs, qualitative methods help economists better understand people’s economic choices and the economic outcomes that emerge from those choices. This is because qualitative studies conceptualize culture as a pattern of meaning, take the relevant cultural data to be people’s thoughts and feelings, treat the market as a cultural phenomenon, and allow for novel explanations.

The logic of consequences and the logic of appropriateness have long been central to understanding behavior in organizations. However, scholarly work on the logic of appropriateness has consisted mostly of conceptual clarification and ex post explanation of observed behavior. In an effort to facilitate the study of the logic of appropriateness through experimental methods, this paper introduces an experimental paradigm that allows for the manipulation of decision logic as an independent variable. Using this paradigm, 710 participants played four iconic behavioral games in which profitability and ethics are both at play and, sometimes, at odds: Prisoners’ Dilemma, Dictator Game, Ultimatum Game, and Trust Game. The manipulation generated behavioral data, as well as qualitative data about participants’ considerations while deciding according to each logic. The behavioral data show that, compared to participants employing a logic of consequences, participants employing a logic of appropriateness rejected more unfair offers in an Ultimatum Game and were more generous when reciprocating trusting behavior in a Trust Game. In all other cases, behavior between the two logics was not significantly different. An analysis of the qualitative data suggests that a logic of consequences increased participants’ focus on monetary concerns, whereas a logic of appropriateness increased participants’ focus on moral concerns. Taken together, these data provide new insights into when, how, and why the two logics result in behavioral and cognitive differences. The authors conclude by considering directions for future research that they see as particularly amenable to study using the experimental manipulation presented here.

This chapter discusses the benefits, limitations, and challenges in developing research projects that integrate a combination of archival, behavioral, and qualitative research methods. By demonstrating the inherent strengths and weaknesses of using a single method in isolation, this chapter aims to broaden our understanding of why and how research that examines various issues from the different perspectives is richer than employing any single method and enhances our understanding of a given accounting phenomenon. This chapter also discusses how investigating an issue through multiple research methods can help researchers improve the generalizability of findings and present a panoramic view of a particular phenomenon.

This chapter discusses the role of intervention research in bioethical inquiry. Although many ethical questions of interest are not appropriate for intervention research, some questions can only be answered using experimental or quasi-experimental designs. The critical characteristics of intervention research are identified and strengths of this method are described. Threats to internal validity and external validity are discussed and applied to a case example in bioethical research. Several recent intervention studies that were federally funded in the area of informed consent are discussed, and recommendations for future intervention research are presented.