Application of Neural Network in Portfolio Product Companies: Integration of Boston Consulting Group Matrix and Ansoff Matrix

M. Khajezadeh, M. S. F. Niasar, S. Asli, D. D. Davari, M. Godarzi, Y. Asgari
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引用次数: 2

Abstract

This study aims to explore the joint application of both Boston and Ansoff matrices in the operational development of the product. We conduct deep analysis, by utilizing the Artificial Neural Network, to predict the position of the product in the market while the company is interested in increasing its share. The data are gathered from two industries, called hygiene and detergent. In doing so, the effort is being made by investigating the behavior of top player companies and, recommend strategic orientations. In conclusion, this combination analysis is appropriate for operational development; as well, it plays an important role in providing the position of the product in the market for both hygiene and detergent industries. More importantly, it will elaborate on the company’s strategies to increase its market share related to a combination of the Boston Consulting Group (BCG) Matrix and Ansoff Matrix. Keywords—Artificial neural network, portfolio analysis, BCG matrix, Ansoff matrix.
神经网络在投资组合产品公司中的应用:波士顿咨询集团矩阵与安索夫矩阵的整合
本研究旨在探讨波士顿和安索夫矩阵在产品运营开发中的联合应用。我们进行深度分析,利用人工神经网络,预测产品在市场上的位置,而公司有兴趣增加其份额。这些数据来自两个行业,分别是卫生和洗涤剂。在此过程中,我们将努力调查顶级玩家公司的行为,并建议战略方向。总之,这种组合分析适用于业务开发;同样,它在为卫生和洗涤剂行业提供产品在市场上的地位方面发挥着重要作用。更重要的是,它将详细阐述公司的战略,以增加其市场份额与波士顿咨询集团(BCG)矩阵和安索夫矩阵的结合。关键词:人工神经网络,投资组合分析,BCG矩阵,Ansoff矩阵
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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