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intelligent information management in Aquaponics to Increase Mutual Benefits

intelligent information management 2021年第1期13卷 50-69页

作者： Divas Karimanzira Cai Na Mu Hong Yaoguang Wei Department of Surface Water and Maritime Systems Fraunhofer IOSB-AST Ilmenau Germany

Aquaponics are feedback and two player systems, in which fish and crops mutually benefit from one another and, therefore require close monitoring, management and control. Vast amount of data and information flow from the aquaponics plant itself with its huge amount of smart sensors for water quality, fish and plant growth, system state etc. and from the stakeholder, e.g., farmers, retailers and end consumers. The intelligent management of aquaponics is only possible if this data and information are managed and used in an intelligent way. Therefore, the main focus of this paper is to introduce an intelligent information management (IIM) for aquaponics. It will be shown how the information can be used to create services such as predictive analytics, system optimization and anomaly detection to improve the aquaponics system. The results show that the system enabled full traceability and transparency in the aquaponics processes (customers can follow what is going on at the farm), reduced water and energy use and increased revenue through early fault detection. In this, paper the information management approach will be introduced and the key benefits of the digitized aquaponics system will be given.

关键词： intelligent information management Double Recirculation Aquaponic System Digitization Monitoring and Remote Diagnosis System Optimization

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Clicking through the Clickstream: A Novel Statistical Modeling Approach to Improve information Usage of Clickstream Data by E-Commerce Entities

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intelligent information management 2023年第3期15卷 180-215页

作者： Corban Allenbrand Analytics Information and Operations Management University of Kansas Lawrence USA

Success or failure of an E-commerce platform is often reduced to its ability to maximize the conversion rate of its visitors. This is commonly regarded as the capacity to induce a purchase from a visitor. Visitors possess individual characteristics, histories, and objectives which complicate the choice of what platform features that maximize the conversion rate. Modern web technology has made clickstream data accessible allowing a complete record of a visitor’s actions on a website to be analyzed. What remains poorly constrained is what parts of the clickstream data are meaningful information and what parts are accidental for the problem of platform design. In this research, clickstream data from an online retailer was examined to demonstrate how statistical modeling can improve clickstream information usage. A conceptual model was developed that conjectured relationships between visitor and platform variables, visitors’ platform exit rate, boune rate, and decision to purchase. Several hypotheses on the nature of the clickstream relationships were posited and tested with the models. A discrete choice logit model showed that the content of a website, the history of website use, and the exit rate of pages visited had marginal effects on derived utility for the visitor. Exit rate and bounce rate were modeled as beta distributed random variables. It was found that exit rate and its variability for pages visited were associated with site content, site quality, prior visitor history on the site, and technological preferences of the visitor. Bounce rate was also found to be influenced by the same factors but was in a direction opposite to the registered hypotheses. Most findings supported that clickstream data is amenable to statistical modeling with interpretable and comprehensible models.

关键词： Business Intelligence intelligent information management Web Analytics Web Technology management Exit Rate Bounce Rate Online Consumer Model Discrete Choice Model

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Identifying Where the Values Come from IT-Innovations in Health and Social Care

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intelligent information management 2012年第5期4卷 296-308页

作者： Vivian Vimarlund Sabine Koch Research Center of information Technology and information Systems Department of InformaticsJonkoping International Business SchoolJonkopingSweden Linkoping University LinkopingSweden Health Informatics Centre Department of LearningInformaticsManagement and EthicsKarolinska InstitutetStockholmSweden

Studies aimed to capture the effects of IT-innovations in health and social care have shown that there is a gap between expected and factual outcomes. Many decision makers feel the need to articulate an ideal end-state for their organiza-tions. Striking the balance between novelty and believability of such an ideal end-state is often tricky and they become neither satisfied with the ideal not the visioning. In this study, we explore the contribution of IT-innovations to health and social care. The results showed that coherence between context and IT-innovation is important to capture effects and outcomes. Being coherent rather than visionary contributes to identify where you are, as an organization, and to capture effects and outcomes that “make sense” in the context in question. The paper makes an exposition from the model building, algorithm design to performance analysis and contributes to the academic prosperity in intelligent In-formation management The knowledge generated is expected to provide input when identifying goals that IT-investments are supposed to achieve.

关键词： IT-Innovation intelligent information management Health and Social Care Coherence

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