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      Structure of Planning and Control Artifacts and their Accuracy in Brazilian Family Businesses

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          Abstract

          ABSTRACT Objective: the accuracy of planning and control artifacts is fundamental for bringing assertiveness to the organizational management process. The utility of the artifacts is questioned when the desired accuracy is missing. This research aims to identify the relationship between the artifact structure, the market assumptions, and the accuracy of the performance variables with a view to adapting the artifact profile to the desired impact over performance accuracy. Methods: this is a quantitative study based on convenience sampling and the data analysis methods used were structural equation modeling and necessary condition analysis. Results: within a sufficiency logic, the results support adherence between the planning and control artifacts, but not their relationship with performance accuracy. However, when analyzing the necessity logic, the artifacts become a necessary condition for a high level of performance accuracy. Conclusions: we show that the planning and control structure is consistent for achieving accuracy, but defining the desired level of deviation tolerance is a fundamental condition for the efficiency level of the management process. The more demanding the organization is in terms of deviation tolerance, the greater the need for artifacts.

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          Most cited references63

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          Statistical power analyses using G*Power 3.1: tests for correlation and regression analyses.

          G*Power is a free power analysis program for a variety of statistical tests. We present extensions and improvements of the version introduced by Faul, Erdfelder, Lang, and Buchner (2007) in the domain of correlation and regression analyses. In the new version, we have added procedures to analyze the power of tests based on (1) single-sample tetrachoric correlations, (2) comparisons of dependent correlations, (3) bivariate linear regression, (4) multiple linear regression based on the random predictor model, (5) logistic regression, and (6) Poisson regression. We describe these new features and provide a brief introduction to their scope and handling.
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            Management control systems design within its organizational context: findings from contingency-based research and directions for the future

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              Management control systems as a package—Opportunities, challenges and research directions

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                Author and article information

                Journal
                bar
                BAR - Brazilian Administration Review
                BAR, Braz. Adm. Rev.
                ANPAD - Associação Nacional de Pós-Graduação e Pesquisa em Administração (Maringá, PR, Brazil )
                1807-7692
                2022
                : 19
                : 3
                : e210080
                Affiliations
                [1] São Paulo São Paulo orgnameUniversidade de São Paulo Brazil
                [2] São Paulo São Paulo orgnameUniversidade Presbiteriana Mackenzie Brazil
                Article
                S1807-76922022000300304 S1807-7692(22)01900300304
                10.1590/1807-7692bar2022210080
                daba3dd4-5299-4ce5-8918-054f86c45415

                This work is licensed under a Creative Commons Attribution 4.0 International License.

                History
                : 04 June 2022
                : 01 September 2021
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 63, Pages: 0
                Product

                SciELO Brazil

                Categories
                Research Article

                artifacts,planning and control,accuracy,rolling forecast,forecast

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