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Insight monetization intermediary platform using recommender systems
Electronic Markets ( IF 6.017 ) Pub Date : 2021-01-06 , DOI: 10.1007/s12525-020-00449-w
Payam Hanafizadeh , Mahdi Barkhordari Firouzabadi , Khuong Minh Vu

Fundamental changes have prepared the grounds for a rapid movement towards becoming data and insight-driven. Businesses are continually seeking approaches to create more value from data. The main purpose of this article is to propose a model by which experts as Human Intelligence, can participate to share their expectations to orient the data processing towards the generation of insights needed to target industries and consequently, the realization of indirect data monetization. A set of recommendation systems as Artificial Intelligence, facilitate the submission and validation of expectations, access to data, and selling insights. The model also encompasses a direct data monetization strategy, wherein participants access or request their requirements in an Online Insight Marketplace. We have used the design science methodology to develop and validate our proposed model. The model is validated by comparison with competitive models from the literature, and also by bringing evidence from real-world applications which relate to the components of our model.

中文翻译:

使用推荐系统的洞察货币化中介平台

根本性的变化为快速转向数据和洞察力驱动奠定了基础。企业不断寻求从数据中创造更多价值的方法。本文的主要目的是提出一个模型,专家作为人类智能,可以通过该模型参与分享他们的期望,将数据处理定向到生成目标行业所需的洞察力,从而实现间接数据货币化。一组推荐系统作为人工智能,促进期望的提交和验证、数据访问和销售见解。该模型还包含直接数据货币化策略,参与者可以在其中访问或请求在线洞察市场中的需求。我们使用设计科学方法来开发和验证我们提出的模型。该模型通过与文献中的竞争模型进行比较,以及从与我们模型组件相关的实际应用中获取证据来验证。
更新日期:2021-01-06
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