Wyniki wyszukiwania - BazTech

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The perception of business wargaming results among strategic and competitive intelligence community

Kowalik Adam

Organizacja i Zarządzanie : kwartalnik naukowy

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2021

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nr 2

69--81

EN

Introduction/background: Achieving a market success is not an easy task for companies. To win in the market companies apply numerous strategic, market and competitive intelligence methods including business wargaming which is considered as one of the most advanced methods. Aim of the paper: The main aim of this paper is to investigate the perception of business wargames practices among strategic and competitive intelligence professionals with special emphasis on results of business wargames. Materials and methods: To achieve the aim of the paper the online survey was conducted among the members of a leading global professional association “Strategic and Competitive Intelligence Professionals”. The survey was sent to 12566 emails from SCIP database. The responses were collected anonymously via Survey Monkey in April-May 2017. As a result 227 responses were collected. Results and conclusions: The results of the study suggest that according to respondents business wargaming allows to achieve results on each of the proposed 5 levels of results representing the cause-effect chain of translating business wargaming effects into business benefits, i.e. insights, recommendations, implementation, competitive situation, measurable benefits. Moreover, the respondents indicate that the business wargaming can be considered a relatively attractive analytical method in terms of its effectiveness. The costs of business wargaming are rated as slightly lower or significantly lower than the benefits. Business wargaming is also assessed as better than any other method of generating insight. The research suggests that the more difficult the conditions for competition, the more commonly the business wargaming method is used. Respondents predict that the use of this method will increase in the future.

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Customer product review summarization over time for competitive intelligence

Amarouche Kamal, Benbrahim Houda, Kassou Ismail

Journal of Automation Mobile Robotics and Intelligent Systems

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2018

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Vol. 12, No. 4

70--82

EN

Nowadays, Customer’s product reviews can be widely found on the Web, be it in personal blogs, forums, or ecommerce websites. They contain important products’ information and therefore became a new data source for competitive intelligence. On that account, these reviews need to be analyzed and summarized in order to help the leader of an entity (company, brand, etc.) to make appropriate decisions in an efective way. However, most previous review summarization studies focus on summarizing sentiment distribution toward different product features without taking into account that the real advantages and disadvantages of a product clarify over time. For this reason, in this work we aim to propose a new system for product opinion summarization which depends on the time when reviews are expressed and that covers the sentiments change about product features. The proposed system firstly, generates a summary based on product features in order to give more accurate and efficient information about different features. secondly, classify the product based on its features in its appropriate class (good, medium or bad product) using a fuzzy logic system. The experimental results demonstrate the effectiveness of the proposed system to generate the real image of a product and its features in reviews.

3

A Yii-Powered Web Application to Assist Decision-Makers in Municipal Solid Waste Management

Okae P., David A.

Applied Computer Science

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2016

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Vol. 12, no 2

33--41

EN

This paper adopts the concepts of observatory and competitive intelligence (CI) to model a system that will generate better insights for decision-makers in the solid waste industry. The first part of this work is to design and develop a data warehouse (DWH) of solid waste statistics using data assembled from disparate sources. Our methodology of design is the entity relationship diagram (ERD) and our implementation tool is MySQL running on phpMyAdmin. The second part of our work will be to turn our developed DWH into a Web application using the Yii PHP component framework. Our findings indicated that the application of both concepts of observatory and CI lead to better insights for decision-makers and hence better organizational performance.