Evaluation of Strategic Opportunities and Resulting Business Models for SMEs

Abstract

This chapter focuses on ubiquitous sensing devices, enabled by Wireless Sensor Network (WSN) technologies, that cut across every area of modern day living, affecting individuals and businesses and offering the ability to measure and understand environmental indicators. The proliferation of these devices in a communicating-actuating network creates the internet of things (IoT). The IoT provides the tools to establish a major global data-driven ecosystem with its emphasis on Big Data. Currently, business models may focus on the provision of services, i.e., the internet of services (IoS). These models assume the presence and development of the necessary IoT measurement and control instruments, communications infrastructure, and easy access to the data collected and information generated. Different business models may support creating revenue and value for different types of customers. This chapter contributes to the literature by considering, innovatively, knowledge-based management practices, strategic opportunities and resulting business models for third-party data analysis services.

Evolution of Regulatory Models for Public Health Data Ecosystems From a Linked Democracy Perspective

“…Lokshina and Lanting (2023) state that evidently the law cannot be ignored. Rights and open rights management are increasingly important to foster citizen participation and trust; however, implementing the rule of law on platforms and apps to regulate information flows requires another dimension to regulatory models which is different from standardization (Lokshina et al, , 2020Lokshina & Lanting, 2021.…”

“…It is a way to organize knowledge, institutions, and people to foster interoperability, remove silos, and create a protective framework for data sharing. It must operate by framing a relationship between the expert, collective, and personal knowledge in the biomedical domain including public healthcare (Lokshina et al, , 2020Lokshina & Lanting, 2023). The authors analyzed the case, considered in Chun and MacKellar (2012), of a typical user, Mary, who is researching clinical trials for her elderly father who is suffering from kidney cancer.…”

“…These questions raise non-trivial issues about liability, rights, and duties, beyond purely technical issues, and may even raise some confusion. The point is that linked data requires a democracy governance model able to handle information and knowledge (i.e., structured information) feasibly (Lokshina et al, , 2020Lokshina & Lanting, 2021. The authors noted that to implement a model, new regulatory tools are needed to anchor technical requirements and regulatory conditions into specific public data ecosystems (Lokshina & Lanting, 2021.…”

“…Big Data can be used in both precision medicine (as prevention and treatment strategies that take individual variability into account, by linking EHR to molecular data) and disease prevention (through the integration of data about behavioral, social, and environmental risk factors as a technological underpinning of health-focused Big Data collected by sensors and smartphones to track aspects of health and health behaviors). Besides, legal controls must cover access, amount, quality, and degree of personal information involved in the generation, storage, management, and risk assessment not only at the content level but at the metadata level too (Aizenberg & van den Hoven, 2020;Barrett et al, 2013;Lokshina et al, , 2020Lokshina & Lanting, 2023). Barrett et al (2013) advised that "people tracking their weight, diet, or exercise routine and producing massive data should have the opportunity to monitor this data and make decisions."…”