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This paper provides a comprehensive overview and synthesis of the various definitions of corporate environmental performance (CEP) in conceptual and empirical papers. Based on an overview of existing conceptual and empirical studies of CEP, we analyze the complex nature of this multidimensional construct. In a first step, we apply content analysis to the relevant literature to identify definitions of CEP and conduct a bibliometric analysis using the software HistCite. We found only few studies that provide a clear definition of CEP. In a second step, we use a semantic mapping methodology by applying Leximancer, a computer-aided qualitative data analysis tool to organize the large literature on CEP and to explore the definitional and conceptual complexity of CEP. To our knowledge, this is a new and unique approach in the field of environmental management. This paper contributes to research on CEP in three ways. First, it collects and summarizes definitions and measurements of CEP used in the organizational literature so far. Second, it provides a bird's eye view on the different contexts in which CEP is discussed. Third, a parsimonious model of CEP derived from computer-aided qualitative data analysis and consisting of five major elements is presented and discussed.

Several well-known statisticians regard significance testing as a deeply problematic procedure in statistical inference. Yet, in-depth discussion of null hy- pothesis significance testing (NHST) has largely been absent from the literature on or- ganizations or, more specifically, management control systems. This article attempts to redress this oversight by drawing on neoinstitutional theory to frame, analyze, and explore the NHST problem. Regulative, normative, and cultural-cognitive forces partly explain the longevity of NHST in organization studies. The unintended nega- tive consequences of NHST include a reinforcement of the academic-practitioner di- vide, an obstacle to the growth of knowledge, discouragement of study replications, and mechanization of researcher decision making. An appreciation of these institu- tional explanations for NHST as well as the harm caused by NHST may ultimately help researchers develop superior methodological alternatives to a controversial sta- tistical technique.