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This book teaches IT service managers how to onboard ServiceNow ITSM tools by evangelizing, educating, and coordinating their organization's service desk, developers, and stakeholders. Drawing on his own story of lessons learned in spinning up the adoption of ServiceNow throughout the Al Jazeera Media Network, application architect Gabriele Kahlout shows IT service managers how to launch automated ServiceNow ticketing tools in seamless integration with their organization's existing email and Active Directory. ...Shows IT service managers how to orchestrate their IT service desks and developers to facilitate the adoption and consumption of IT services by all users, supporting their various business needs while optimizing human-computer interaction and minimizing stress and productivity loss arising from poor human-system design. ... How to create a strategy to avoid common pitfalls that sabotage ITSM programs.-- Back cover.

Analyzing Social Media Networks with NodeXL offers backgrounds in information studies, computer science, and sociology.This book is divided into three parts: analyzing social media, NodeXL tutorial, and social-media network analysis case studies.Part I provides background in the history and concepts of social media and social networks.

Here we present Singularity, software developed to bring containers and reproducibility to scientific computing. Using Singularity containers, developers can work in reproducible environments of their choosing and design, and these complete environments can easily be copied and executed on other platforms. Singularity is an open source initiative that harnesses the expertise of system and software engineers and researchers alike, and integrates seamlessly into common workflows for both of these groups. As its primary use case, Singularity brings mobility of computing to both users and HPC centers, providing a secure means to capture and distribute software and compute environments. This ability to create and deploy reproducible environments across these centers, a previously unmet need, makes Singularity a game changing development for computational science.

\"Get answers to all your cybersecurity questions In 2016, we reached a tipping point—a moment where the global and local implications of cybersecurity became undeniable. Despite the seriousness of the topic, the term \"cybersecurity\" still exasperates many people. They feel terrorized and overwhelmed. The majority of business people have very little understanding of cybersecurity, how to manage it, and what's really at risk. This essential guide, with its dozens of examples and case studies, breaks down every element of the development and management of a cybersecurity program for the executive. From understanding the need, to core risk management principles, to threats, tools, roles and responsibilities, this book walks the reader through each step of developing and implementing a cybersecurity program. Read cover-to-cover, it’s a thorough overview, but it can also function as a useful reference book as individual questions and difficulties arise. Unlike other cybersecurity books, the text is not bogged down with industry jargon Speaks specifically to the executive who is not familiar with the development or implementation of cybersecurity programs Shows you how to make pragmatic, rational, and informed decisions for your organization Written by a top-flight technologist with decades of experience and a track record of success If you’re a business manager or executive who needs to make sense of cybersecurity, this book demystifies it for you. \"-- Provided by publisher.

The use of mobile applications (apps) has been growing in the world of technology, a phenomenon related to the increasing number of smartphone users. Even though the mobile apps market is huge, few studies have been made on what makes individuals continue to use a mobile app or stop using it. This study aims to uncover the factors that underlie the continuance intention to use mobile apps, addressing two theoretical models: Expectation confirmation model (ECM) and the extended unified theory of acceptance and use of technology (UTAUT2). A total of 304 questionnaires were collected by survey to test the theoretical framework proposal, using structural equation modelling (SEM). Our findings indicate that the most important drivers of continuance intention of mobile apps are satisfaction, habit, performance expectancy, and effort expectancy.

This open access book contributes to the creation of a cyber ecosystem supported by blockchain technology in which technology and people can coexist in harmony. Blockchains have shown that trusted records, or ledgers, of permanent data can be stored on the Internet in a decentralized manner. The decentralization of the recording process is expected to significantly economize the cost of transactions. Creating a ledger on data, a blockchain makes it possible to designate the owner of each piece of data, to trade data pieces, and to market them. This book examines the formation of markets for various types of data from the theory of market quality proposed and developed by M. Yano. Blockchains are expected to give data itself the status of a new production factor. Bringing ownership of data to the hands of data producers, blockchains can reduce the possibility of information leakage, enhance the sharing and use of IoT data, and prevent data monopoly and misuse. The industry will have a bright future as soon as better technology is developed and when a healthy infrastructure is created to support the blockchain market.

This paper addresses the problem of generating possible object locations for use in object recognition. We introduce selective search which combines the strength of both an exhaustive search and segmentation. Like segmentation, we use the image structure to guide our sampling process. Like exhaustive search, we aim to capture all possible object locations. Instead of a single technique to generate possible object locations, we diversify our search and use a variety of complementary image partitionings to deal with as many image conditions as possible. Our selective search results in a small set of data-driven, class-independent, high quality locations, yielding 99 % recall and a Mean Average Best Overlap of 0.879 at 10,097 locations. The reduced number of locations compared to an exhaustive search enables the use of stronger machine learning techniques and stronger appearance models for object recognition. In this paper we show that our selective search enables the use of the powerful Bag-of-Words model for recognition. The selective search software is made publicly available (Software: http://disi.unitn.it/~uijlings/SelectiveSearch.html ).

PurposeThe purpose of this study is to empirically analyse the key factors that influence the adoption of financial technology innovation in the country Germany. The advancement of mobile devices and their usage have increased the uptake of financial technology (FinTech) innovation. Financial sectors and startups see FinTech as a gateway to increase business opportunities, but mobile applications and other technology platforms must be launched to explore such opportunities. Mobile application security threats have increased tremendously and have become a challenge for both users and FinTech innovators. In this paper, the authors empirically inspect the components that influence the expectations of both users and organizations to adopt FinTech, such as customer trust, data security, value added, user interface design and FinTech promotion. The empirical results definitely confirm that data security, customer trust and the user design interface affect the adoption of FinTech. Existing studies have used the Technology Acceptance Model (TAM) to address this issue. The outcomes of this study can be used to improve the performance of FinTech strategies and enable banks to achieve economies of scale for global intensity.Design/methodology/approachIn this paper, the authors empirically consider factors that influence the expectations of both users and organizations in adopting FinTech, such as customer trust, data security, value added, the user design interface and FinTech promotion. The results confirm that customer trust, data security and the user design interface affect the adoption of FinTech. This research proposes a model called “Intention to adopt FinTech in Germany,” constructs of which were developed based on the TAM and five additional components, as identified. The outcomes of this study can be used to improve the performance of FinTech strategies and enable banks to achieve economies of scale for global intensity.FindingsThe authors demonstrated that the number of mobile users in Germany is rapidly increasing; yet the adoption of FinTech is extremely sluggish. It is intriguing to reckon that 99 per cent of respondents had mobile devices, but only 10 per cent recognized FinTech. Further, it is significantly discouraging to perceive that only 10 of the 209 respondents had ever used FinTech services, representing under 1 per cent of the surveyed respondents. It is obvious that the FinTech incubators and banks offering FinTech services need to persuade their customers regarding the usefulness and value added advantages of FinTech. This study has been carried out to determine the key factors that influence and provoke FinTech adoption.Research limitations/implicationsThere are a few limitations in this study. Initially, this study focuses on FinTech implementation in Germany and not the whole of Europe. In addition, demographic and regional factors could be consolidated to inspect their particular impact on the intention to use FinTech services, particularly among younger users with a high interest in technology. Without these constraints, the authors could have gathered additional data for a more robust result and obtained new knowledge to further upgrade polices to enhance the FinTech adoption process. Future analysts can assist exploration of this topic by altering determinants in the unified theory of acceptance and use of technology model. Additionally, because the cluster sampling technique was used, the reported outcomes are not 100 per cent generalized to the German population. To accomplish a complete generalization, a basic random sampling strategy for the whole population is essential. The authors could also alleviate some limitations by examining how online vendors are performing with regard to FinTech to satisfy the needs of customers via case studies.Practical implicationsThis study was conducted in Germany and might have produced different results if held in other countries, as technology acceptance is different in a different environment. For instance, the authors suspect that the results would be somewhat different, were the research to be conducted in the United Kingdom, where take-up of FinTech appears to be far greater than in Germany. Therefore, the authors’ results are only generalized for the country of Germany and not other geographical areas. Furthermore, respondents may have been influenced by past experiences about FinTech usage which might have led them to neglect to answer some questions. In spite of this, this study did not consider the influence of moderating variables such as age, education and FinTech services experience. The authors also neglected social impact and control factors, as their corresponding items disregarded the instrument dependability. Accordingly, the authors could not quantify social impact and control factors on FinTech use.Social implicationsThe outcomes of this study can be used to improve the performance of FinTech strategies and enable banks to accomplish economies of scale for global intensity. The authors do hope that this paper will serve to encourage FinTech innovators in their approach to FinTech and enable FinTech researchers to use past work with more prominent certainty, resulting in rigid hypothesis improvement in the future.Originality/valueA considerable amount of revenue has been invested in the information technology (IT) infrastructure of banks to enhance their performance, but investment in IT remains a substantial risk regarding the return on investment (Carlson, 2015). Most banks and financial organizations around the globe are engaging in an extreme pressure from their customers and competitors to enhance IT.

Thanks to its capability of archiving and organizing all the information about a building, HBIM (Historical Building Information Modeling) is considered a promising resource for planned conservation of historical assets. However, its usage remains limited and scarcely adopted by the subjects in charge of conservation, mainly because of its rather complex 3D modeling requirements and a lack of shared regulatory references and guidelines as far as semantic data are concerned. In this study, we developed an HBIM methodology to support documentation, management, and planned conservation of historic buildings, with particular focus on non-geometric information: organized and coordinated storage and management of historical data, easy analysis and query, time management, flexibility, user-friendliness, and information sharing. The system is based on a standalone specific-designed database linked to the 3D model of the asset, built with BIM software, and it is highly adaptable to different assets. The database is accessible both with a developed desktop application, which acts as a plug-in for the BIM software, and through a web interface, implemented to ensure data sharing and easy usability by skilled and unskilled users. The paper describes in detail the implemented system, passing by semantic breaking down of the building, database design, as well as system architecture and capabilities. Two case studies, the Cathedral of Parma and Ducal Palace of Mantua (Italy), are then presented to show the results of the system’s application.