基于量子信息理论的以无形商品为中心的偏见与助推的数学表示
Mathematical representation of bias and nudges centered on intangible goods using quantum information theory
AI总结：
本研究基于量子信息理论，提出一种考虑无形商品环境的偏见与助推数学模型，通过定义助推指数证明个体化定制助推能提升社会总剩余并减少偏见对福利的损害。
摘要：
本研究的目的是探索偏见与助推之间的关系是否可以用量子信息理论来数学表达，特别是通过个体化定制的助推。基于客户满意度的价值函数（由于客户评估的主观性而具有不确定性），提出了一个考虑无形商品环境的偏见与助推模型。然后，通过从该经济模型获得的价值函数的数学性质定义助推指数，本研究能够表达一个具有与标准经济学中表达的助推相同性质的数学结构的模型，其中从作为社会福利函数导出的社会总剩余的数学结构来看，福利因偏见而受损。此外，社会总剩余的数学结构可以比标准经济学中的更大，从而增加了关于将助推作为个体化定制的客户体验的数学设计的知识。这提高了基于量子信息理论的经济模型和定制化助推的数学设计的可行性。
英文摘要：
This study aims to explore whether the relationship between bias and nudges can be mathematically expressed in terms of quantum information theory, particularly by means of individually customized nudges. Based on the value function of customer satisfaction, which is subject to uncertainty due to its subjective nature, a model of bias and nudges is proposed that considers the environment for intangible goods. Then, by defining an index of nudges from the mathematical properties of the value function obtained from this economic model, a model can be expressed that has a mathematical structure of the same nature as nudges expressed in standard economics, where welfare is impaired by bias from the mathematical structure of the gross social surplus derived as a social welfare function. Moreover, the mathematical structure of the gross social surplus can be made larger than that in standard economics, adding knowledge about the mathematical design of nudges as individually customized customer experiences. Considering information technology within the context of business intelligence derived from service science and service engineering, the connection between relevant variables and empirical validation is explained. This increases the feasibility of the economic model based on quantum information theory and the mathematical design of customized nudges.
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