Pricing Powered by Artificial Intelligence: An Assessment Model for the Sustainable Implementation of AI Supported Price Functions

IF 3.3 4区计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS

Informatica Pub Date : 2024-05-22 DOI:10.15388/24-infor559

Anett Erdmann, Morteza Yazdani, Jose Manuel Mas Iglesias, Cristina Marin Palacios

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引用次数: 0

Abstract

Artificial Intelligence (AI) in the price management process is being applied in business practice and research to a variety of pricing use cases that can be augmented or automated, providing opportunities as a forecasting tool or for price optimization. However, the complexity of evaluating the technology to prioritize implementation is challenging, especially for small and medium enterprises (SMEs), and guidance is sparse. Which are the relevant stakeholder criteria for a sustainable implementation of AI for pricing purpose? Which type of AI supported price functions meet these criteria best? Theoretically motivated by the hedonic price theory and advances in AI research, we identify nine criteria and eight AI supported price functions (AISPF). A multiple attribute decision model (MADM) using the fuzzy Best Worst Method (BWM) and fuzzy combined compromise solution (CoCoSo) is set up and evaluated by pricing experts from Germany and Spain. To validate our results and model stability, we carried out several random sensitivity analyses based on the weight of criteria exchange. The results suggest accuracy and reliability as the most prominent attribute to evaluate AISPF, while ethical and sustainable criteria are sorted as least important. The AISPF which best meet the criteria are financial prices followed by procurement prices. PDF XML

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人工智能定价：可持续实施人工智能支持的价格功能的评估模型

人工智能（AI）在价格管理过程中的应用正在商业实践和研究中被广泛应用于各种可增强或自动化的定价用例，为预测工具或价格优化提供了机会。然而，评估技术以确定实施优先次序的复杂性极具挑战性，尤其是对于中小企业（SMEs）而言，指导意见更是少之又少。哪些是利益相关者可持续实施人工智能定价的相关标准？哪类人工智能支持的价格功能最符合这些标准？从享乐价格理论和人工智能研究进展的理论出发，我们确定了九项标准和八项人工智能支持价格函数（AISPF）。我们建立了一个多属性决策模型（MADM），该模型采用了模糊最佳最差法（BWM）和模糊综合折中方案（CoCoSo），并由来自德国和西班牙的定价专家进行了评估。为了验证我们的结果和模型的稳定性，我们根据标准交换的权重进行了几次随机敏感性分析。结果表明，在评估 AISPF 时，准确性和可靠性是最重要的属性，而道德和可持续标准则是最不重要的。最符合标准的 AISPF 是财务价格，其次是采购价格。

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来源期刊

Informatica 工程技术-计算机：信息系统

CiteScore

5.90

自引率

6.90%

发文量

审稿时长

12 months

期刊介绍： The quarterly journal Informatica provides an international forum for high-quality original research and publishes papers on mathematical simulation and optimization, recognition and control, programming theory and systems, automation systems and elements. Informatica provides a multidisciplinary forum for scientists and engineers involved in research and design including experts who implement and manage information systems applications.