Suchergebnisse

Part 1: Problems -- Chapter 1. Transparency of Digital Providers and Digital Divide -- Chapter 2. Authorities and Private Companies in Regulating Software Technologies -- Chapter 3. Liability and Accountability in the 'Digital' Relationships -- Chapter 4. Social Media, Mobile Apps and Children Protection -- Part 2: Perspectives -- Chapter 5. Personal Data, Non-Personal Data, Anonymised Data, Pseudonymised Data, De-Identified Data -- Chapter 6. Personal Data As Counter-performance -- Chapter 7. Cookies and the Passive Role of the Data Subject -- Chapter 8. Data Management Tools and Privacy by Design & by Default -- Chapter 9. Reconciling Data Protection and Cybersecurity: An Operational Approach for Business Sector -- Chapter 10. Copyright and Data Protection -- Part 3: Applicable solutions -- Chapter 11. eHealth and Data -- Chapter 12. Location Data and Privacy -- Chapter 13. Rise and Fall of Tracing Apps -- Chapter 14. Privacy, Software and Insurance -- Chapter 15. IoT and Privacy.

AbstractIn efforts to innovate, organizations are increasingly offering competitive value‐added services, frequently by evolving their software infrastructure. Business decisions are often motivated by economic trade‐offs related to the development and management of this software. To develop an economic‐modelling framework for the evolutionary development of software‐based services, we examine the problem of estimating the return on a software‐evolution investment. We present methods for estimating both the cost of developing a new service by incrementally modifying existing software and the value generated by introducing the service to the market in terms of revenue generated by the new service and the value of potential future services it may enable. An example case study illustrates the model. Copyright © 2010 ASAC. Published by John Wiley & Sons, Ltd.

In this paper we analyze the emergence of R&D services in Bangalore, India, by focusing on the process of technological upgrading in the Indian software industry. The development trajectory of the Indian software industry and the upgrading it has experienced, from providing low-skill software services to providing high-skill R&D services, are examined using evidence from interviews with Indian firms in Bangalore. Whereas most research on the Indian software industry thus far has emphasized the role of the state and multinational corporations, in this paper we argue that active local entrepreneurship is playing an increasingly important role in technological upgrading and in the shift from low-skill to high-skill services in Bangalore. These shifts are being facilitated by growing institutional thickness, as evidenced by the accumulation of local expertise, increasing local entrepreneurship addressing specific market niches, and the development of a local technical community.

The software services industry in India has witnessed significant growth and has been attracting global attention. With rapid technology changes such as automation, robotics, and Internet of things, the importance of knowledge workers in this industry is growing at a fast pace. However, software development is a complex, intricate, and knowledge-based activity with projects being often quite dynamic involving several unstructured tasks with requirements of expertise from many domains. Considering the growing importance of knowledge workers and the intricacies involved in the software services work setup, this study was an attempt to explore and understand the performance context of these knowledge workers. As against the popularly used quantitative research approaches in this domain of study, it was decided to take a qualitative research approach with an assumption that it could facilitate better understanding of the work context and its complexities. With this methods case study, I wish to shed light on semi-structured in-depth interview-based methodology that was used for this research project and how the interview data were analyzed using grounded theory to identify the clusters within the interview data. The case study provides an overview of the challenges and advantages of pursuing a qualitative research setting in scenarios like these particularly when there are several layered and interdependent facets that exist, like in the performance context of software professionals.

The formation of the Russian digital platforms and import substitution in the field of IT software is one of the priority directions of the national economic development. However, the current growth rate of the Russian software market does not appear to be sufficient enough to fully provide all commercial and non-profit organizations with domestic products; hence, today the development of the Russian IT software market is one of the most relevant and pressing issues. The purpose of the research is to present a comprehensive study of the Russian software market and to find new prospects of its development. The significance of the work consists in a comprehensive analysis of the state and prospects of the Russian IT software market. The research is based on the methods of institutional, statistical and system analysis, classification and econometric modeling. As a result, it has been made possible to highlight the empirical analysis of the dynamics of the Russian software market and level of competition thereon. Besides, the work identifies the main features of the outlook for the Russian software developers based on the use of potential matrix. The value of the study lies in the processing of a large data array and its practice-oriented interpretation. The work can be useful for both the specialists in the field of industrial market analysis, in particular, IT software market, and the government agencies regulating the Russian IT market.

Intro -- Preface -- Contents -- Internet of Things (IoT) Infrastructures for Smart Cities -- 1 IoT and Smart Cities: An Introduction -- 2 Background -- 2.1 Current trends in Internet of Things for Smart Cities -- 2.2 Smart City Applications Around the World -- 2.2.1 Smart Mobility Projects -- 2.2.2 Smart Sustainability Projects -- 2.2.3 Smart Living Projects -- 3 Sensing Architectures for Smart Cities -- 4 Smart City Enabling Wireless Communication Technologies -- 4.1 Short-range Communications -- 4.2 Medium-range Communications -- 4.2.1 802.15.4-based Technologies -- 4.2.2 WiFi -- 4.2.3 Bluetooth Low Energy (BLE) -- 4.3 Long-range Communications -- 4.3.1 LoRaWAN -- 4.3.2 Sigfox -- 4.4 Open Issues -- 5 Data Security in Smart Cities -- 5.1 Examples of IoT Security Vulnerabilities in Smart Cities -- 5.2 IoT Security Threats, Countermeasures and Research Issues -- 5.2.1 IoT Security Threats -- 5.2.2 Countermeasures and Research Issues -- 6 Conclusion -- References -- The Role of 5G and IoT in Smart Cities -- 1 Introduction -- 2 Smart Cities -- 3 Internet of Things and Wireless Sensor Networks -- 4 5G Networks -- 5 Role of 5G in IoT -- 6 The Role of 5G and IoT in Smart Cities -- 7 Conclusions and Future Directions -- References -- Leveraging Cloud Computing and Sensor-Based Devicesin the Operation and Management of Smart Systems -- 1 Introduction -- 2 Cloud Computing -- 3 Unification of Resources -- 3.1 Cloud-Based Middleware for Sensor Equipped Bridges -- 3.2 Cloud-Based Platform for Research Collaboration -- 4 Data Analytics Platforms and Resource Management -- 4.1 MapReduce/Hadoop -- 4.1.1 Closed Systems -- 4.1.2 Open Systems -- 4.1.3 Energy Aware Resource Management -- 4.2 Streaming Data Analytics -- 5 Information Dissemination and Control for Smart Applications -- 5.1 Museum Tour Guide System -- 5.2 Restaurant Management System.