数字创新生态系统中的双边数据资产匹配:后悔理论方法

IF 7.4 2区 经济学 Q1 BUSINESS, FINANCE
Zidan Shan, Yaqi Wang
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引用次数: 0

摘要

本研究探讨了数字创新生态系统中具有预期水平的数据资产的双边匹配问题,并纳入了回避后悔行为。首先,考虑到匹配双方在整个匹配过程中可能会犹豫不决,使用概率犹豫模糊集来表达偏好信息是合理的。其次,兰斯评分函数最能捕捉匹配双方在期望值和满意度上的差距。基于遗憾理论,我们开发了一种考虑双方效用和满意度的匹配策略。我们构建了一个优化模型,利用新颖的兰斯距离度量来确定标准权重。随后,我们制定了一个多目标优化模型,以在确保供需匹配过程稳定性的同时实现满意度最大化。一个数值示例强调了所建议方法的有效性,并展示了其在数据资产匹配场景中的实际应用性。本研究通过将心理因素和复杂的模糊集理论融入数字生态系统中数据资产分配的决策过程,推动了该领域的发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Bilateral data asset matching in digital innovation ecosystems: A regret theory approach
This study addresses the bilateral matching of data assets with expected levels in digital innovation ecosystems, incorporating regret-avoidance behavior. First, given the potential hesitation between two parties throughout the matching process, expressing preference information using probability hesitant fuzzy sets is reasonable. Second, the Lance scoring function best captures the gap in expectation and satisfaction between the matching parties. Based on regret theory, we develop a matching strategy that considers both parties’ utilities and satisfaction levels. We construct an optimization model to determine criteria weights using a novel Lance distance metric. Subsequently, a multi-objective optimization model is formulated to maximize satisfaction while ensuring stability in the supply–demand matching process. A numerical example underscores the suggested method's effectiveness and shows its practical applicability in data asset matching scenarios. This study advances the field by integrating psychological factors and sophisticated fuzzy set theory into the decision-making process for allocating data assets in digital ecosystems.
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来源期刊
Finance Research Letters
Finance Research Letters BUSINESS, FINANCE-
CiteScore
11.10
自引率
14.40%
发文量
863
期刊介绍: Finance Research Letters welcomes submissions across all areas of finance, aiming for rapid publication of significant new findings. The journal particularly encourages papers that provide insight into the replicability of established results, examine the cross-national applicability of previous findings, challenge existing methodologies, or demonstrate methodological contingencies. Papers are invited in the following areas: Actuarial studies Alternative investments Asset Pricing Bankruptcy and liquidation Banks and other Depository Institutions Behavioral and experimental finance Bibliometric and Scientometric studies of finance Capital budgeting and corporate investment Capital markets and accounting Capital structure and payout policy Commodities Contagion, crises and interdependence Corporate governance Credit and fixed income markets and instruments Derivatives Emerging markets Energy Finance and Energy Markets Financial Econometrics Financial History Financial intermediation and money markets Financial markets and marketplaces Financial Mathematics and Econophysics Financial Regulation and Law Forecasting Frontier market studies International Finance Market efficiency, event studies Mergers, acquisitions and the market for corporate control Micro Finance Institutions Microstructure Non-bank Financial Institutions Personal Finance Portfolio choice and investing Real estate finance and investing Risk SME, Family and Entrepreneurial Finance
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