دانلود رایگان مقاله انگلیسی یکپارچه سازی رویکرد متن کاوی در فرایند برنامه ریزی استراتژیک شرکت کوچک و متوسط - امرالد 2017

Abstract

Purpose - Strategic Planning (SP) enables enterprises to plan management and operations activities efficiently in the medium and large term. During its implementation, many processes and methods are manually applied and may be time-consuming. The purpose of this paper is to introduce an automatic method to define strategic plans by using Text Mining (TM) algorithms within a generic SP model especially suited for small and medium-sized enterprises (SMEs). Design/methodology/approach – Textual feedbacks were collected through a SWOT matrix during the implementation of a SP model in a company dedicated to the local distribution of food. A four-step TM process (performing acquisition, pre-processing, processing and validation tasks) is applied via a framework developed under the cloud-computer paradigm in order to determine the strategic plans. Findings – The use of categorization and clustering algorithms show that unstructured textual information produced during the SP can be efficiently processed and capitalized. Collected evidence reveals the potential to enhance the strategic plans creation with less effort and time, improving the relevance, and producing new technological resources accessible to SMEs. Originality/value – An innovative framework especially suited for the SMEs based on the synergy assumption of the coupling between TM and a generic SP model.

6 Conclusions

In this paper, a generic model for the SP in SME companies was introduced. This contribution aims to systematize the formulation of strategic plans and to facilitate their control through the monitoring of performance indicators. This proposed model has the main characteristic of adapting to the needs of SME industries in any business sector, however, to deal with the deployment time of its stages 3, 4 and 5 (Fig. 1), we opted to integrate it with the TM approach. This integration aims to transform the textual information from the SWOT into strategic plans. To reach this objective, a generic model for TM was developed based on four main steps: text retrieval, preprocessing, processing and evaluation. The results of the experiment revealed that the TM implementation has a better performance than the currently manual process within the generic strategic model. Furthermore, it fits well to the requirements of the model. Thus, the automation of this process is more efficient and agile.