Introducing task uncertainty into the model yielded a positive association between higher MACSs change and more task variability, as well as more task difficulty,thus supporting hypotheses H2 and H5, respectively. The correlation coefficients
showed that the direct effect was statistically stronger for task variability as opposed to task difficulty (i.e. 0.24 versus 0.13 from Table 2). Moreover, the direct effects of MACSs change on MRI under conditions of high variability and high difficulty were stronger, as anticipated in hypotheses H3 and H6, respectively. The correlation coefficients of 0.230 and 0.215 shown in Table 3 are both significant at p = 0.02 while the correlation coefficients for low task variability and low task difficulty are not significant. These direct effects are not surprising in the sense that formal management accounting systems can be more objectively quantified to handle the information-sharing function of activities that are identifiable and programmable,even in the face of new technological advancements, such as CAD/CAM and activity-based costing. Changing or adding new management accounting systems under increasing task variability may be a more efficient response for the firm than under increasing task difficulty, consistent with Galbraith’s (1977) arguments.
But our results also complement findings reported by Brownell and Dunk (1991) in that the broad focus of management accounting system design under increasing task difficulty is to facilitate the more arduous specification of input/output relationships.
Moreover, finding strong direct effects of MACSs change on MRI for departments facing high task variability and high task difficulty is consistent with theoretical arguments that these two uncertainty constructs operate at the work-unit level rather than the individual level (Van de Ven and Delbecq, 1974; Brownell and Dunk, 1991).
Introducing task uncertainty into the model yielded a positive association between higher MACSs change and more task variability, as well as more task difficulty,thus supporting hypotheses H2 and H5, respectively. The correlation coefficients
showed that the direct effect was statistically stronger for task variability as opposed to task difficulty (i.e. 0.24 versus 0.13 from Table 2). Moreover, the direct effects of MACSs change on MRI under conditions of high variability and high difficulty were stronger, as anticipated in hypotheses H3 and H6, respectively. The correlation coefficients of 0.230 and 0.215 shown in Table 3 are both significant at p = 0.02 while the correlation coefficients for low task variability and low task difficulty are not significant. These direct effects are not surprising in the sense that formal management accounting systems can be more objectively quantified to handle the information-sharing function of activities that are identifiable and programmable,even in the face of new technological advancements, such as CAD/CAM and activity-based costing. Changing or adding new management accounting systems under increasing task variability may be a more efficient response for the firm than under increasing task difficulty, consistent with Galbraith’s (1977) arguments.
But our results also complement findings reported by Brownell and Dunk (1991) in that the broad focus of management accounting system design under increasing task difficulty is to facilitate the more arduous specification of input/output relationships.
Moreover, finding strong direct effects of MACSs change on MRI for departments facing high task variability and high task difficulty is consistent with theoretical arguments that these two uncertainty constructs operate at the work-unit level rather than the individual level (Van de Ven and Delbecq, 1974; Brownell and Dunk, 1991).
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