1. bookVolume 50 (2017): Issue 3 (August 2017)
Journal Details
License
Format
Journal
First Published
17 Oct 2008
Publication timeframe
4 times per year
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English
access type Open Access

Organizational Learning Supported by Machine Learning Models Coupled with General Explanation Methods: A Case of B2B Sales Forecasting

Published Online: 22 Aug 2017
Page range: 217 - 233
Received: 15 May 2017
Accepted: 20 Jul 2017
Journal Details
License
Format
Journal
First Published
17 Oct 2008
Publication timeframe
4 times per year
Languages
English

Background and Purpose: The process of business to business (B2B) sales forecasting is a complex decision-making process. There are many approaches to support this process, but mainly it is still based on the subjective judgment of a decision-maker. The problem of B2B sales forecasting can be modeled as a classification problem. However, top performing machine learning (ML) models are black boxes and do not support transparent reasoning. The purpose of this research is to develop an organizational model using ML model coupled with general explanation methods. The goal is to support the decision-maker in the process of B2B sales forecasting.

Keywords

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