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Research Advances in Cloud Computing
by Rajkumar Buyya Sanjay Chaudhary Gaurav SomaniThis book addresses the emerging area of cloud computing, providing a comprehensive overview of the research areas, recent work and open research problems. The move to cloud computing is no longer merely a topic of discussion; it has become a core competency that every modern business needs to embrace and excel at. It has changed the way enterprise and internet computing is viewed, and this success story is the result of the long-term efforts of computing research community around the globe. It is predicted that by 2026 more than two-thirds of all enterprises across the globe will be entirely run in cloud. These predictions have led to huge levels of funding for research and development in cloud computing and related technologies. Accordingly, universities across the globe have incorporated cloud computing and its related technologies in their curriculum, and information technology (IT) organizations are accelerating their skill-set evolution in order to be better prepared to manage emerging technologies and public expectations of the cloud, such as new services.
Research Advances in Intelligent Computing
by Anshul Verma Lalit Garg Pradeepika Verma Kiran Kumar PattanaikSince the invention of computers and other similar machines, scientists and researchers have been trying very hard to enhance their capabilities to perform various tasks. As a result, the capabilities of computers are growing exponentially day by day in terms of diverse working domains, versatile jobs, processing speed, and reduced size. Now, we are in the race to make these machines as intelligent as human beings. Artificial intelligence (AI) came up as a way of making a computer or computer software think in a similar manner to the way that humans think. AI is inspired by the study of human brain, including how humans think, learn, decide, and act while trying to solve a problem. The outcomes of this study are the basis of developing intelligent software and systems or intelligent computing (IC). An IC system has the capabilities of reasoning, learning, problem-solving, perception, and linguistic intelligence. IC systems consist of AI techniques as well as other emerging techniques that make a system intelligent. The use of IC has been seen in almost every sub-domain of computer science such as networking, software engineering, gaming, natural language processing, computer vision, image processing, data science, robotics, expert systems, and security. Nowadays, IC is also useful for solving various complex problems in diverse domains such as for predicting disease in medical science, predicting land fertility or crop productivity in agricultural science, predicting market growth in economics, and weather forecasting. For all these reasons, this book presents the advances in AI techniques, under the umbrella of IC. In this context, the book includes recent research that has been done in the areas of machine learning, neural networks, deep learning, evolutionary algorithms, genetic algorithms, swarm intelligence, fuzzy systems, and so on. This book discusses recent theoretical, algorithmic, simulation, and implementation-based advancements related to IC.
Research Advances in Intelligent Computing: Volume 2
by Anshul Verma Pradeepika VermaResearchers and scientists have invested a great deal of effort into developing computers and other devices to be more capable of doing a wider range of tasks. As a result, the potential of computers to do a wide range of tasks in different environments, at varying speeds, and in smaller forms is growing dramatically every day. Currently, there is a race to create robots or computers with human-level intelligence. Artificial Intelligence (AI) is the ability of a machine or software to think like a human being. The study of the human brain, specifically how humans learn, make decisions, and react when trying to solve issues, is the basis of AI. The creation of intelligent software and systems, or intelligent computing (IC), is the outcome of AI studies. An IC system can perceive, reason, learn, and use language. In IC systems, AI and other cutting-edge techniques are employed to create system intelligence. IC has been applied to almost every area of computer science, including networking, software engineering, gaming, robotics, expert systems, natural language processing, computer vision, image processing, and data science. In modern times, IC is also employed to tackle a wide range of challenging issues in numerous disciplines, such as weather forecasting, agriculture science, medicine, and economics. This book offers the most recent advancements in both IC and AI for all these reasons.
Research Advances in Network Technologies
by Anshul Verma Lalit Garg Pradeepika Verma Kiran Kumar PattanaikIn current digital era, information is an important asset for our daily life as well as for small and large-scale businesses. The network technologies are the main enablers that connect the computing devices and resources together to collect, process and share vital information locally as well as globally. The network technologies provide efficient, flexible and seamless communication while maximizing productivity and resources for our day-to-day lives and business operations. For all its importance, this domain has evolved drastically, from the traditional wired networks to Bluetooth, infrared-waves, micro-waves, radio-waves and satellite networks. Nowadays, network technologies are not only restricted to computer laboratories, offices or homes; many other diverse areas have been witnessed where network technologies are being used based on the applications and needs, such as vehicular ad-hoc networks, underwater networks, and the Internet of Things. Along with the hardware-based and physical network technologies, a lot of research has been carried out by researchers from academia and industry to develop emerging software-based network technologies, such as network software architectures, middleware, and protocol stacks. The software-based network technologies become the main driving force behind the paradigm shift in this domain and have invented many new network technologies such as grid computing, cloud computing, fog computing, edge computing, software defined networks, content centric networks and so on. On the other hand, a lot of efforts have been made in cellular network technologies to improve the user experience and as a consequence, emerging cellular network technologies like LTE, VoLTE and 5G have been invented. Due to its demand and importance in present and future scenarios, numerous efforts have been done in the networking domain by the researchers, a lot of work is still ongoing, and many more possibilities have yet to be explored. Therefore, there is a need to keep track of advancements related to the network technologies and further investigate several ongoing research challenges for the ease of users. With this goal in mind, Research Advances in Network Technologies presents the most recent and notable research on network technologies.
Research Advances in Network Technologies: Volume 2
by Anshul Verma Pradeepika VermaIn the present technological age, information is a valuable resource for both small and large enterprises as well as for our daily lives. The key enablers that link computer resources and devices together to gather, process, and distribute crucial data both locally and worldwide are network technologies. For our daily lives and commercial operations, network technologies offer effective, adaptable, and seamless communication while maximizing productivity and resources.Due to its significance, this field has undergone a significant evolution in the past few decades, moving away from traditional wired networks and toward Bluetooth, infrared, microwave, radio, and satellite networks. These days, network technologies are not employed only in computer labs, businesses, or homes; a wide range of domains, such as vehicular ad hoc networks, mobile ad hoc networks, and the Internet of Things, have been seen using network technologies.Researchers from academia and industry have worked hard to build and develop software-based network technologies, such as middleware, protocol stacks, and network software architectures, in addition to hardware-based and physical network technologies. The paradigm shift in this field is being driven primarily by software-based network technologies, which have also given rise to numerous new network innovations, including grid computing, cloud computing, fog computing, edge computing, software-defined networks, and content-centric networks. Significant efforts have been made in cellular network technologies to boost the user experience, and as a result, new cellular network technologies, including LTE, VoLTE, and 5G, have also been developed.Efforts continue to be made by researchers in these networking fields due to the demand for and importance of these technologies in present and future situations. Many of these efforts are still in progress, and there are still possibilities that need to be investigated. As a result, it’s important to stay up to date on network technology developments and look into further research difficulties that need to be resolved for the benefit of users. This book will present the most recent and leading research in the field of network technologies in order to achieve solutions for various problems that exist in this domain.
Research Analytics: Boosting University Productivity and Competitiveness through Scientometrics (Data Analytics Applications)
by Francisco J. Cantu-OrtizThe growth of machines and users of the Internet has led to the proliferation of all sorts of data concerning individuals, institutions, companies, governments, universities, and all kinds of known objects and events happening everywhere in daily life. Scientific knowledge is not an exception to the data boom. The phenomenon of data growth in science pushes forth as the number of scientific papers published doubles every 9–15 years, and the need for methods and tools to understand what is reported in scientific literature becomes evident. <P><P>As the number of academicians and innovators swells, so do the number of publications of all types, yielding outlets of documents and depots of authors and institutions that need to be found in Bibliometric databases. These databases are dug into and treated to hand over metrics of research performance by means of Scientometrics that analyze the toil of individuals, institutions, journals, countries, and even regions of the world. The objective of this book is to assist students, professors, university managers, government, industry, and stakeholders in general, understand which are the main Bibliometric databases, what are the key research indicators, and who are the main players in university rankings and the methodologies and approaches that they employ in producing ranking tables. <P><P>The book is divided into two sections. The first looks at Scientometric databases, including Scopus and Google Scholar as well as institutional repositories. The second section examines the application of Scientometrics to world-class universities and the role that Scientometrics can play in competition among them. It looks at university rankings and the methodologies used to create these rankings. Individual chapters examine specific rankings that include: <P><P> <P><P>QS World University <P><P>Scimago Institutions <P><P>Webometrics <P><P>U-Multirank <P><P>U.S. News & World Report <P><P>The book concludes with a discussion of university performance in the age of research analytics.
Research Challenges in Information Science: 14th International Conference, RCIS 2020, Limassol, Cyprus, September 23–25, 2020, Proceedings (Lecture Notes in Business Information Processing #385)
by Fabiano Dalpiaz Jelena Zdravkovic Pericles LoucopoulosThis book constitutes the proceedings of the 14th International Conference on Research Challenges in Information Sciences, RCIS 2020, held in Limassol, Cyprus, during September 23-25, 2020. The conference was originally scheduled for May 2020, but the organizing committee was forced to postpone the conference due to the outbreak of the COVID-19 pandemic. The scope of RCIS 2020 is summarized by the thematic areas of information systems and their engineering; user-oriented approaches; data and information management; business process management; domain-specific information systems engineering; data science; information infrastructures, and reflective research and practice. The 26 full papers and 3 work in progress papers presented in this volume were carefully reviewed and selected from 106 submissions. They were organized in topical sections named: Data Analytics and Business Intelligence; Digital Enterprise and Technologies; Human Factors in Information Systems; Information Systems Development and Testing; Machine Learning and Text Processing; and Security and Privacy. The volume also contains 12 poster and demo-papers, and 4 Doctoral Consortium papers.
Research Challenges in Information Science: 15th International Conference, RCIS 2021, Limassol, Cyprus, May 11–14, 2021, Proceedings (Lecture Notes in Business Information Processing #415)
by Selmin Nurcan Anna Perini Samira CherfiThis book constitutes the proceedings of the 15th International Conference on Research Challenges in Information Sciences, RCIS 2021, which was planned to take place in Limassol, Cyprus, but had to change to an online event due to the COVID-19 pandemic. The conference took place virtually during May 11-14, 2021. It focused on the special theme "Information Science and Global Crisis".The scope of RCIS is summarized by the thematic areas of information systems and their engineering; user-oriented approaches; data and information management; business process management; domain-specific information systems engineering; data science; information infrastructures, and reflective research and practice.The 29 full papers and 6 work-in-progress papers presented in this volume were carefully reviewed and selected from 99 submissions. They were organized in topical sections named: Business and Industrial Processes, Information Security and Risk Management, Data and Information Management, Domain-specific Information Systems Engineering, User-Centered Approaches, Data Science and Decision Support, and Information Systems and Their Engineering. The volume also contains 13 poster and demo papers, and 4 doctoral consortium papers. In addition, two-page summaries of tutorials and research project papers can be found in the back matter.
Research Challenges in Information Science: 16th International Conference, RCIS 2022, Barcelona, Spain, May 17–20, 2022, Proceedings (Lecture Notes in Business Information Processing #446)
by Jolita Ralyté Xavier Franch Renata GuizzardiThis book constitutes the proceedings of the 16th International Conference on Research Challenges in Information Sciences, RCIS 2022, which took place in Barcelona, Spain, during May 17–20, 2022. It focused on the special theme "Ethics and Trustworthiness in Information Science". The scope of RCIS is summarized by the thematic areas of information systems and their engineering; user-oriented approaches; data and information management; business process management; domain-specific information systems engineering; data science; information infrastructures, and reflective research and practice. The 35 full papers presented in this volume were carefully reviewed and selected from a total 100 submissions. The 18 Forum papers are based on 11 Forum submissions, from which 5 were selected, and the remaining 13 were transferred from the regular submissions. The 6 Doctoral Consortium papers were selected from 10 submissions to the consortium. The contributions were organized in topical sections named: Data Science and Data Management; Information Search and Analysis; Business Process Management; Business Process Mining; Digital Transformation and Smart Life; Conceptual Modelling and Ontologies; Requirements Engineering; Model-Driven Engineering; Machine Learning Applications. In addition, two-page summaries of the tutorials can be found in the back matter.
Research Challenges in Information Science: 17th International Conference, RCIS 2023, Corfu, Greece, May 23–26, 2023, Proceedings (Lecture Notes in Business Information Processing #476)
by Haralambos Mouratidis Selmin Nurcan Andreas L. Opdahl Aggeliki TsohouThis book constitutes the proceedings of the 17th International Conference on Research Challenges in Information Sciences, RCIS 2023, which took place in Corfu, Greece, during May 23–26, 2023. It focused on the special theme "Information Science and the Connected World".The scope of RCIS is summarized by the thematic areas of information systems and their engineering; user-oriented approaches; data and information management; business process management; domain-specific information systems engineering; data science; information infrastructures, and reflective research and practice. The 28 full papers presented in this volume were carefully reviewed and selected from a total of 87 submissions. The book also includes 15 Forum papers and 6 Doctoral Consortium papers. The contributions were organized in topical sections named: Requirements; conceptual modeling and ontologies; machine learning and analytics; conceptual modeling and semantic networks; business process design and computing in the continuum; requirements and evaluation; monitoring and recommending; business process analysis and improvement; user interface and experience; forum papers; doctoral consortium papers. Two-page abstracts of the tutorials can be found in the back matter of the volume.
Research Challenges in Information Science: 18th International Conference, RCIS 2024, Guimarães, Portugal, May 14–17, 2024, Proceedings, Part I (Lecture Notes in Business Information Processing #513)
by Saïd Assar João Araújo Maribel Yasmina Santos Jose Luis de la VaraThis book constitutes the proceedings of the 18th International Conference on Research Challenges in Information Sciences, RCIS 2024, which took place in Guimarães, Portugal, during May 2024. The scope of RCIS is summarized by the thematic areas of information systems and their engineering; user-oriented approaches; data and information management; business process management; domain-specific information systems engineering; data science; information infrastructures, and reflective research and practice. The 25 full papers, 12 Forum and 5 Doctoral Consortium papers included in these proceedings were carefully reviewed and selected from 100 submissions. They were organized in topical sections as follows: Part I: Data and information management; conceptual modelling and ontologies; requirements and architecture; business process management; data and process science; security; sustainability; evaluation and experience studies Part II: Forum papers; doctoral consortium papers.
Research Challenges in Information Science: 18th International Conference, RCIS 2024, Guimarães, Portugal, May 14–17, 2024, Proceedings, Part II (Lecture Notes in Business Information Processing #514)
by Saïd Assar João Araújo Maribel Yasmina Santos Jose Luis de la VaraThis book constitutes the proceedings of the 18th International Conference on Research Challenges in Information Sciences, RCIS 2024, which took place in Guimarães, Portugal, during May 2024. The scope of RCIS is summarized by the thematic areas of information systems and their engineering; user-oriented approaches; data and information management; business process management; domain-specific information systems engineering; data science; information infrastructures, and reflective research and practice. The 25 full papers, 12 Forum and 5 Doctoral Consortium papers included in these proceedings were carefully reviewed and selected from 100 submissions. They were organized in topical sections as follows: Part I: Data and information management; conceptual modelling and ontologies; requirements and architecture; business process management; data and process science; security; sustainability; evaluation and experience studies Part II: Forum papers; doctoral consortium papers.
Research Challenges in Information Science: 19th International Conference, RCIS 2025, Seville, Spain, May 20–23, 2025, Proceedings, Part I (Lecture Notes in Business Information Processing #547)
by Tanja E. J. Vos Oscar Pastor Maria José Escalona Jānis GrabisThe two-volume set LNBIP 547 and LNBIP 548 constitutes the proceedings of the 19th International Conference on Research Challenges in Information Sciences, RCIS 2025, which took place in Seville, Spain, in May 2025. It focused on the special theme: Advancing Information Science and Information Systems Quality in the Era of Complexity. The scope of RCIS is summarized by the thematic areas of information systems and their engineering; user-oriented approaches; data and information management; business process management; domain-specific information systems engineering; data science; information infrastructures, and reflective research and practice. The 33 full papers and 13 short papers included in the proceedings were carefully reviewed and selected from 103 submissions. They were organized in topical sections as follows: Part I: Information systems quality; security, risk and strategy; conceptual modeling and ontologies; modeling methods and requiremments engineering; databases informaiton management; human factors in information systems; business process engineering and management; Part II: Machine-learning and generative AI applications; RCIS Forum; and RCIS Doctoral Consortium.
Research Challenges in Information Science: 19th International Conference, RCIS 2025, Seville, Spain, May 20–23, 2025, Proceedings, Part II (Lecture Notes in Business Information Processing #548)
by Tanja E. J. Vos Oscar Pastor Maria José Escalona Jānis GrabisThe two-volume set LNBIP 547 + LNBIP 548 constitutes the proceedings of the 19th International Conference on Research Challenges in Information Sciences, RCIS 2025, which took place in Seville, Spain, in May 2025. It focused on the special theme: Advancing Information Science and Information Systems Quality in the Era of Complexity. The scope of RCIS is summarized by the thematic areas of information systems and their engineering; user-oriented approaches; data and information management; business process management; domain-specific information systems engineering; data science; information infrastructures, and reflective research and practice. The 33 full papers and 13 short papers included in the proceedings were carefully reviewed and selected from 103 submissions. They were organized in topical sections as follows: Part I: Information systems quality; security, risk and strategy; conceptual modeling and ontologies; modeling methods and requiremments engineering; databases informaiton management; human factors in information systems; business process engineering and management; Part II: Machine-learning and generative AI applications; RCIS Forum; and RCIS Doctoral Consortium.
Research Challenges in Modeling and Simulation for Engineering Complex Systems (Simulation Foundations, Methods and Applications)
by Wei Chen Richard Fujimoto Conrad Bock Ernest Page Jitesh H. PanchalThis illuminating text/reference presents a review of the key aspects of the modeling and simulation (M&S) life cycle, and examines the challenges of M&S in different application areas. The authoritative work offers valuable perspectives on the future of research in M&S, and its role in engineering complex systems. Topics and features: reviews the challenges of M&S for urban infrastructure, healthcare delivery, automated vehicle manufacturing, deep space missions, and acquisitions enterprise; outlines research issues relating to conceptual modeling, covering the development of explicit and unambiguous models, communication and decision-making, and architecture and services; considers key computational challenges in the execution of simulation models, in order to best exploit emerging computing platforms and technologies; examines efforts to understand and manage uncertainty inherent in M&S processes, and how these can be unified under a consistent theoretical and philosophical foundation; discusses the reuse of models and simulations to accelerate the simulation model development process. This thought-provoking volume offers important insights for all researchers involved in modeling and simulation across the full spectrum of disciplines and applications, defining a common research agenda to support the entire M&S research community.
Research Data Sharing and Valorization: Developments, Tendencies, Models
by Joachim Schöpfel Violaine RebouillatAs platforms for sharing, re-using and storing data, research data repositories are integral to open science policy. This book provides a comprehensive approach to these data repositories, their functionalities, uses, issues and prospects. Taking France as an example, the current landscape of data repositories is considered, including discussion of the idea of a national repository and a comparative study of several national systems. The international re3data directory is outlined and a collection of six case studies of model repositories, both public and private, are detailed (CDS, Data INRAE, SEANOE, Nakala, Figshare and Data Mendeley).Research Data Sharing and Valorization also includes appendices containing a number of websites and reference texts from the French Ministry of Higher Education, Research and Innovation, and the CNRS. To the authors&’ knowledge, it is the first book to be entirely devoted to these new platforms and is aimed at researchers, teachers, students and professionals working with scientific and technical data and information.
Research Developments in Geotechnics, Geo-Informatics and Remote Sensing: Proceedings of the 2nd Springer Conference of the Arabian Journal of Geosciences (CAJG-2), Tunisia 2019 (Advances in Science, Technology & Innovation)
by Zeynal Abiddin Erguler Murat Karakus Helder I. Chaminé Hesham El-AskaryThis book contains the best peer-reviewed papers accepted for presentation at the 2nd Springer Conference of the Arabian Journal of Geosciences (CAJG-2), organized in Sousse, Tunisia, in November 2019. The short papers cover various topics from the fields of (1) geological and geotechnical engineering, (2) geomechanical studies based on numerical and analytical methods, and (3) geo-informatics and remote sensing. The content of these papers provides new scientific knowledge for further understanding on landslides, new stabilization techniques, importance of geophysics for engineering geology investigations as well as new empirical approaches for easily predicting some physical and hydrogeomechanical properties of geomaterials. The book is of interest to all researchers, practitioners, and students in the fields of geological and mining engineering, geotechnical engineering, hydrogeomechanics, engineering geology, geotechnologies, and natural hazards.
Research Methodologies and Ethical Challenges in Digital Migration Studies: Caring For (Big) Data? (Approaches to Social Inequality and Difference)
by Luca Rossi Martin Bak Jørgensen Marie Sandberg Vasilis GalisThis Open Access book investigates the methodological and ethical dilemmas involved when working with digital technologies and large-scale datasets in relation to ethnographic studies of digital migration practices and trajectories. Digital technologies reshape not only every phase of the migration process itself (by providing new ways to access, to share and preserve relevant information) but also the activities of other actors, from solidarity networks to border control agencies. In doing so, digital technologies create a whole new set of ethical and methodological challenges for migration studies: from data access to data interpretation, privacy protection, and research ethics more generally. Of specific concern are the aspects of digital migration researchers accessing digital platforms used by migrants, who are subject to precarious and insecure life circumstances, lack recognised papers and are in danger of being rejected and deported. Thus, the authors call for new modes of caring for (big) data when researching migrants’ digital practices in the configuration of migration and borders. Besides taking proper care of research participants’ privacy, autonomy, and security, this also spans carefully establishing analytically sustainable environments for the respective data sets. In doing so, the book argues that it is essential to carefully reflect on researchers’ own positioning as being part of the challenge they seek to address.
Research Methods For Business Students
by Mark Saunders Philip Lewis Adrian ThornhillA comprehensive introduction to research methods in business for students planning or undertaking a dissertation or extensive research project in business and management. <P><P> The fifth edition of Research Methods for Business Students brings the theory, philosophy and techniques of research to life and enables students to understand the practical relevance of the research methods. A highly accessible style and logical structure have made this the 'student choice' and run-away market leader. <P><P> The book is written for students on undergraduate and postgraduate degree programmes in business, or business-related disciplines. <P><P> The following online resources support the text: <P><P> For Students: self-assessment questions, glossary, revision "flashcards", tutorials for SPSS and NVivo, plus Smarter Online Searching Guide For Instructors: teaching manual, powerpoint slides, testbank
Research Methods In Human Computer Interaction
by Jonathan Lazar Harry Hochheiser Jinjuan Heidi Feng<P>Research Methods in Human-Computer Interaction is a comprehensive guide to performing research and is essential reading for both quantitative and qualitative methods.<P> Since the first edition was published in 2009, the book has been adopted for use at leading universities around the world, including Harvard University, Carnegie-Mellon University, the University of Washington, the University of Toronto, HiOA (Norway), KTH (Sweden), Tel Aviv University (Israel), and many others. <P>Chapters cover a broad range of topics relevant to the collection and analysis of HCI data, going beyond experimental design and surveys, to cover ethnography, diaries, physiological measurements, case studies, crowdsourcing, and other essential elements in the well-informed HCI researcher's toolkit.<P> Continual technological evolution has led to an explosion of new techniques and a need for this updated 2nd edition, to reflect the most recent research in the field and newer trends in research methodology.
Research Methods and Data Analysis for Business Decisions: A Primer Using SPSS (Classroom Companion: Business)
by James E. Sallis Geir Gripsrud Ulf Henning Olsson Ragnhild SilkosetThis introductory textbook presents research methods and data analysis tools in non-technical language. It explains the research process and the basics of qualitative and quantitative data analysis, including procedures and methods, analysis, interpretation, and applications using hands-on data examples in QDA Miner Lite and IBM SPSS Statistics software. The book is divided into four parts that address study and research design; data collection, qualitative methods and surveys; statistical methods, including hypothesis testing, regression, cluster and factor analysis; and reporting. The intended audience is business and social science students learning scientific research methods, however, given its business context, the book will be equally useful for decision-makers in businesses and organizations.
Research Methods and Solutions to Current Transport Problems: Proceedings of the International Scientific Conference Transport of the 21st Century, 9– 12th of June 2019, Ryn, Poland (Advances in Intelligent Systems and Computing #1032)
by Mirosław Siergiejczyk Karolina KrzykowskaThe book is dedicated as an auxiliary literature for academic staff of universities, research institutes, as well as for students of transport teaching. The aim of the conference was to present the achievements of national and foreign research and scientific centers dealing with the issues of rail, road, air and sea transport in technical and technological aspects, as well as organization and integration of the environment conducting research and education in the discipline of civil engineering and transport. International Scientific Conference Transport of the 21st Century was held in Ryn, Poland, in the 9th–12th of June 2019.The research areas of the conference were as follows:• transport infrastructure and communication engineering,• construction and operation of means of transport,• logistics engineering and transport technology,• organization and planning of transport, including public transport,• traffic control systems in transport,• transport telematics and intelligent transportation systems,• smart city and electromobility,• safety engineering and ecology in transport,• automation of means of transport.It also used by specialists from central and local government authorities in the area of deepening knowledge of modern technologies and solutions used for planning, managing and operating transport.
Research Methods in Human-computer Interaction
by Jonathan Lazar Harry Hochheiser Jinjuan Heidi FengA comprehensive research guide for both quantitative and qualitative research methods Written by a team of authorities in human-computer interaction (HCI) and usability, this pedagogical guide walks you through the methods used in HCI and examines what are considered to be appropriate research practices in the field. Featuring a plethora of real-world examples throughout, you'll discover how these methods have been used in HCI research so that you can gain a stronger understanding of the subject matter. Serves as an authoritative, comprehensive resource on all things related to research methods in human-computer interaction Addresses experimental research and design methods, statistical analysis, and time diaries Shares authentic case studies, interviews, and focus group experiences Reviews analyzing qualitative data, working with human subjects, handling automated computer data collection methods, and more If you are looking for a detailed, no-nonsense resource that offers in-depth coverage of HCI methods, then this is the book for you.
Research Outside The Academy: Professional Knowledge-making In The Digital Age
by Lisa Börjesson Isto HuvilaThis book analyses the practical, information-related dimensions of professional knowledge making and communication in extra-academic organisations. It treats the sites where research takes place and where knowledge is created outside academia in the light, among other things, of new digital resources. It provides valuable insight into the practices through which extra-academic research data and results are produced and made available and the settings in which this takes place. With case studies of knowledge-making in government organizations and state research institutes, as well as in cultural and heritage institutions, this book broadens the perspective on knowledge sharing, communication and publication, and how knowing changes as a result of the professional knowledge-making practices in the digital age.Research outside the Academy is ideal for students at all levels looking for an introduction to the topic of research and knowledge-making in society. Moreover, researchers and professionals in the fields of library and information science and science and technology studies will find the book to be adding to previous understandings of scholarly documentation and communication.
Research Regarding the Influence of Social Media on the Quality of Services in the Sharing Economy (Sustainable Management, Wertschöpfung und Effizienz)
by Sonia BudzThe paper coordinated by Prof. Dr. Bogdan Cristian Onete is a topical subject in the context of the present informational era. It suggests a distinct approach regarding social media and the peer-to-peer platforms from the perspective of the quality of services and collaborative consumption. The research of the paper includes a quantitative research regarding the implications of peer-to-peer platforms concerning the consumer, and a qualitative research with regards to social media and its degree of influence on the quality of services. This research presents many interesting findings regarding the consumer perception of quality of services in the context of the sharing economy. These findings are valuable for all parties working in the domain of the sharing economy or collaborative consumption.