Mapping management accounting: graphics and guidelines for theory-consistent empirical research

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Abstract

This paper provides a summary graphic representation (maps) of the theory-consistent evidence about the causes and effects of management accounting, as presented in 275 articles published in six leading journals. The maps highlight connections and disconnects in the diverse streams of management accounting literature, in terms of what has been researched, the direction and shape of the explanatory links proposed, and the levels of analysis. Some of these connections and disconnects seem likely to be artifacts of the historical development of management accounting research, while others are more consistent with the natural links around and within management accounting. Based on criteria from social-science research, we offer 17 guidelines to help future research capture natural connections, avoid artifactual connections, and develop a more complete and valid map of the causes and effects of management accounting.

Introduction

As empirical research in management accounting has grown in recent decades, it has employed an increasing variety of theoretical perspectives and research methods to address an increasing range of substantive questions. Separate streams of research have developed, each with its own distinctive set of questions and choices of theory and research method (Merchant et al., in press, Shields, 1997). The various streams have matured sufficiently that numerous reviews have appeared, each assessing the accomplishments and prospects of a stream of research (e.g. Chenhall, in press; Chenhall, forthcoming, Baxter and Chua, in press, Covaleski et al., 1996, Ferreira and Merchant, 1992, Fisher, 1995, Ittner and Larcker, 1998, Shields and Shields, 1998, Waller, 1995, Young and Lewis, 1995). Questions that remain unanswered are how, if at all, these different streams relate to each other and how complete and valid an explanation of the causes and effects of management accounting the literature as a whole provides.

In this review article we take an initial step toward answering these questions. We provide a graphic representation of the theory-consistent empirical management accounting research as exemplified by articles published in six leading journals. This representation summarizes the theory-consistent empirical evidence in 275 studies in nine graphics (maps), providing a compact visual overview of these diverse streams of research.

The maps provide answers to three questions about each study:

  • 1.

    What is researched? For example, some studies research activity-based costing (ABC) implementation, others research the weighting of nonfinancial measures in executive compensation contracts, and others research the symbolic value of accounting.

  • 2.

    What are the direction and shape of the explanatory links proposed? For example, some studies show management accounting as the effect of organizational characteristics, and other studies explain management accounting as the cause of organizational characteristics, and still others explain management accounting as both cause and effect (different directions of explanatory links). Some studies show that a particular management accounting practice improves performance, while others show that it improves performance up to a point and then makes it worse, or improves performance only in certain contexts or for certain kinds of individuals (different shapes of explanatory links).

  • 3.

    What is the level of analysis—individual, organizational subunit, organization, or beyond-organization? For example, some studies show how individual attitudes explain individual behavior with respect to accounting (an individual-level explanation), while others show how organizational structure explains properties of management accounting throughout an organization (an organizational-level explanation), and others show how a combination of national culture and subunit management accounting explains management behavior in subunits (a cross-level explanation).

The patterns of explanatory links in the resulting maps are far from uniform and unambiguous. Large dense clusters of explanation appear around some management accounting practices and small isolated explanations around others. Explanations of a particular management accounting practice are not always consistent across or within maps. Some explanatory links that might be expected—for example, between specific individual actions and the organizational-level outcomes of such actions—are absent or ambiguous.

Problems of this kind are inherent in the study of complex systems. As Simon (1973, p. 23) observes, “To a Platonic mind, everything in the world is connected with everything else—and perhaps it is. Everything is connected, but some things are more connected than others. The world is a large matrix of interactions in which most of the entries are very close to zero.” It is not necessarily the case, however, that dense clusters of explanation in the literature always correspond to natural phenomena that are “more connected than others” in the world; nor does the absence of connections in the literature always correspond to the connections that are naturally “very close to zero.”

Some of the connections and disconnects on the maps may be artifacts of the historical development of the field. Some studies, for example, investigate causes and effects of individuals' beliefs about how much their compensation depends on performance compared to budget. Other studies investigate causes and effects of the weight on financial performance compared to a target as specified in organizations' formal incentive-compensation contracts. These two types of studies seem to be addressing very similar phenomena, but they represent different research streams, employing different social-science theories and research methods, and it is not clear to what extent we should expect explanations in these two types of studies to be the same. Should a sufficient explanation of organizations' formal incentive contracts also be a sufficient explanation of individuals' beliefs about how their compensation depends on performance compared to budget, or should we expect the explanations to differ substantially, and if so, how? Without answers to such questions, it is difficult to be sure what are the areas of genuine common ground across different streams of research, what are conflicts and inconsistencies ripe for resolution, and what are irreconcilable epistemological differences.

In order to discuss these issues, we return to the three questions that were used to create the maps: What is researched? What is the direction and shape of the explanatory links proposed? What is the level of analysis? We show how these questions have been answered in the management accounting literature and how the answers have sometimes given rise to conflicting and problematically related explanations. We also suggest 17 guidelines for answering these three questions in future research, in order to develop a more complete and valid map of theory-consistent empirical research in management accounting, representing natural and not artifactual connections and disconnects around and within management accounting.

The remainder of this paper is organized as follows. Section 2 describes the criteria used to select the studies included on the maps and to construct the maps. Section 3 provides an overview of the maps. Section 4 presents criteria for answering question 1 (what is researched). Section 5 presents criteria for answering question 2 (what is the direction and shape of explanatory links). Section 6 presents criteria for answering question 3 (what is the level of analysis); because the answers to the three questions are not always independent of each other, these criteria include variable-identification and causal-model form issues. Section 7 discusses the issues related to the intersection of the three choices described in 4 What variables are researched: guidelines 1–4, 5 Causal-model forms: guidelines 5–12, 6 Levels of analysis: guidelines 13–17 and the choice of explaining management accounting as the cause or effect of other phenomena or both. Section 8 concludes.

Section snippets

Selection of studies and construction of maps

To provide answers to the three questions in Section 1, we developed a data set of selected attributes of many studies and a visual representation of the studies' data in the form of the maps that appear in Appendix A Causes and effects of budgeting at the individual level, Appendix B Causes and effects of budgeting at the organization and subunit levels, Appendix C Information for planning and control, Appendix D Implementing management accounting change, Appendix E Performance measures and

Overview of maps

The overview of the maps is presented in three parts. Section 3.1 suggests how the maps can be used to find and compare results of management accounting research. Section 3.2 introduces each of the nine maps, describing the variable choices and social-science-theory antecedents that give each map its distinctive character. Section 3.3 briefly describes the distributions of causal-model forms and levels of analysis used on the maps and highlights questions raised by the observed distributions.

What variables are researched: guidelines 1–4

Because management accounting research has used a variety of ways of categorizing and naming the phenomena it studies, variables that have the same names but are studied at different levels of analysis or identified and analyzed using different theoretical perspectives may capture similar but not identical phenomena. Moreover, variables with different names may capture similar though not identical phenomena. Identifying the meaning shared (and not shared) by these variables is an important part

Causal-model forms: guidelines 5–12

The following sections discuss in more detail the issues of causal-model form that were initially raised in Section 3.3: curvilinearity (Section 5.1); additive, intervening-variable, and interaction models (Section 5.2); and directionality (Section 5.3).

Levels of analysis: guidelines 13–17

The following sections discuss in more detail the issues of level of analysis that were initially raised in Section 3.3. Section 6.1 introduces criteria for valid single-level studies and Section 6.2 identifies criteria for valid multi-level studies.

Management accounting as independent and/or dependent variable

Most studies on the maps explain only the causes of management accounting or only its effects (i.e. management accounting is only the dependent variable or only the independent variable; Table 1, Section 3.2). Section 7.1 introduces the issue of linking explanations of a variable's causes and explanations of its effects to create valid and more complete causal chains; it shows how these causal chains depend on the choices of variables, causal-model form, and levels of analysis discussed in 4

Conclusion

We have described three ways of identifying valid connections and disconnects among the multiple streams of theory-consistent empirical research in management accounting: identifying variables with partially shared meanings (Section 4), identifying conflicts among different causal-model forms linking similar variables (Section 5), and identifying relations among variables at different levels of analysis (Section 6). Dealing with all three issues simultaneously is required for a complete and

Acknowledgements

Earlier versions of this paper were presented at the AOS 25th Anniversary Conference (University of Oxford), the Seventh Biennial Management Accounting Research Conference (Sydney, Australia), the Second Conference on New Directions in Management Accounting: Innovations in Practice and Research (Brussels, Belgium), the 2001 AAA Management Accounting Section Doctoral Colloquium (Savannah, Georgia), the 2001 AAA Management Accounting Section Conference, AAA (Savannah), the 2001 European

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