NDLI: Evaluation of the Executing Effectiveness of Strategic Activity Based on Task and Management Control Matching

Content Provider	IEEE Xplore Digital Library
Author	Xubu Ma Ju-e Guo
Copyright Year	2014
Description	Author affiliation: Sch. of Econ. & Manage., Xidian Univ., Xi'an, China (Xubu Ma) \|\| Sch. of Manage., Xi'an Jiaotong Univ., Xi'an, China (Ju-e Guo)
Abstract	From the perspective of mining information from a large number of text data about enterprise to evaluate executing effectiveness of strategic activity to enhance enterprise strategy execution force, this paper establishes the evaluation system for evaluating the matching degree between the management control and task to analyze executing effectiveness of strategic activity on the basis of information extraction of strategic activities descriptive text. This paper has the ratio of the evolution mechanism to control mechanism as the evaluation indicator, uses fuzzy membership functions to make indicator being dimensionless, uses the fuzzy membership to represent the matching degree between the task uncertainty and management control and develops fuzzy membership functions and threshold level of evaluation indicator under the task uncertainty degree to analyze which performance level the implementation of corporate strategic activities belong to: high, medium, low or very low. Case analyses show that this model can effectively identify enterprises' strategic activities execution level and provide decision basis for the dynamic adjustment of enterprise management control.
Starting Page	571
Ending Page	575
File Size	342444
Page Count	5
File Format	PDF
e-ISBN	9781479953721
DOI	10.1109/CSO.2014.112
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-07-04
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	executing effectiveness Uncertainty management control Process control Control systems Educational institutions task uncertainty Indexes Personnel Data mining
Content Type	Text
Resource Type	Article

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