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DLT Architecture Proposal for IoT Applications Based on Data Streams
Millions of sensor-based devices are now continuously transmitting data, which is key for solving real-world situations. In the modern era, devices...
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A Proposal to Store Remote Monitoring Sensor Data in a Distributed Manner, Using IOTA Streams and IPFS
Since the advent of the introduction of blockchain technology, there has been extensive research and discussion on the use cases of applying DLT....
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Viola: Detecting Violations of Behaviors from Streams of Sensor Data
Sensor networks and the Internet of Things enable the easy collection of environmental data. With this data it is possible to perceive the activities...
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Analyzing the Quality of Twitter Data Streams
There is a general belief that the quality of Twitter data streams is generally low and unpredictable, making, in some way, unreliable to take...
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A bibliometric review of supply chain finance and digitalisation: map**, current streams, and future research agenda
The digitalisation of supply chain finance (SCF) is a relatively new and fast-growing discipline in business and management. It helps reduce...
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A Contribution to the Development of Sustainable Target Value Streams with Machine Learning Considering Material Flow Cost
Within the scope of maximizing value creation and eliminating waste, value stream map** is considered as a well-established lean management tool...
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Impact of perceived diagnosticity on live streams and consumer purchase intention: streamer type, product type, and brand awareness as moderators
As a business innovation in the e-commerce marketplace, the use of live streams to boost sales has become an important strategy for e-tailers on...
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Data Sovereignty in Information Systems
Data has become a strategic asset for societal prosperity and economic competitiveness. There has long been an academic consensus that the value of...
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Representing a Model for the Anonymization of Big Data Stream Using In-Memory Processing
In light of the escalating privacy risks in the big data era, this paper introduces an innovative model for the anonymization of big data streams,...
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Research streams in corporate social responsibility literature: a bibliometric analysis
Corporate social responsibility (CSR) research is heterogeneous and still fragmented. In its interdisciplinary setting, researchers focus on...
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Foreignness research in international business: Major streams and future directions
Foreignness has long been a central construct in international business research, with research streams examining its conceptualizations,...
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Grand challenges and entrepreneurship: Emerging issues, research streams, and theoretical landscape
This study discusses how the role of entrepreneurship in addressing the so-called “grand challenges” (e.g., poverty, inequality, pollution, climate...
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Data analytics during pandemics: a transportation and location planning perspective
The recent COVID-19 pandemic once again showed the value of harnessing reliable and timely data in fighting the disease. Obtained from multiple...
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Did Lockdowns Stimulate Digital Cultural Participation? Map** the Post-pandemic Berlin Classical Concert Audience and Its Adoption of Audiovisual Concert Streams
The chapter provides representative figures gathered by an online survey about the socio-demographic structure, concert attendance, and media habits...
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The future of sports ticketing: Technologies, data, and new strategies
Though the sports markets have been growing rapidly, the growth rate of ticket revenues has trailed other revenue streams. With the push for use of...
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A taxonomy of data governance decision domains in data marketplaces
Commercializing data and data-related services has gained in importance in recent years. Driven by digitalization and the Internet-of-Things (IoT),...
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Beyond control over data: Conceptualizing data sovereignty from a social contract perspective
In the data economy, data sovereignty is often conceptualized as data providers’ ability to control their shared data. While control is essential,...
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A Review of Anonymization Algorithms and Methods in Big Data
In the era of big data, with the increase in volume and complexity of data, the main challenge is how to use big data while preserving the privacy of...
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In a world of Open Finance, are customers willing to share data? An analysis of the data-driven insurance business
In the financial system, the customers’ willingness to share their data is pivotal, because otherwise, banks and insurance companies are powerless to...
