دانلود رایگان مقاله انگلیسی تجزیه و تحلیل کسب و کار برای مدیریت استراتژیک: چالش شرکت از طریق مدل سازی موضوع - الزویر 2018

Abstract

Strategic management requires an assessment of a firm’s internal and external environments. Our work extends the body of management tools (e.g., SWOT analysis or growth-share matrix) by proposing an automated text mining framework. Here we draw on narrative materials from firms (e.g., financial disclosures) and perform topic modeling so as to identify the key issues faced by an organization. We then quantify the use of language along two dimensions: risk and optimism. This reveals a firm’s strengths and weaknesses by identifying business units, activities, and processes subject to risk, while also comparing it with competitors or the market.

7. Conclusion

Management tools have found widespread application in strategic planning. Among them is SWOT analysis, which, despite its age, is a vital tool, and any effort to automate its analysis is a source of direct value for firms and organizations. A potential computerization is reflected in our approach, which leverages recent innovations in advanced analytics and especially text mining. More specifically, it infers issues in entrepreneurial undertakings from narrative materials and assigns different risk-strength scores to these materials on the basis of the linguistic style. On the one hand, this allows one to track internal performance in core areas and it also functions as an early warning mechanism for critical developments. On the other hand, it elicits external comparisons with both competitors and the market environment in general. The inherent benefits are manifold, including automation, reproducible computation schemes, and differing levels of granularity, ranging from industry units to individual processes and activities. Our performance assessments can then help managers, who can then—in a subsequent step—devise and adapt their strategies accordingly. As such, our framework presents a highly flexible approach that effortlessly generalizes to arbitrary firms, industries, and subjects.