Business applications

This book introduces Probability Theory with R software and explains abstract concepts in a simple and easy-to-understand way by combining theory and computation.

The book features the first volume of the proceedings of the 10th International Conference of the International Association of Cultural and Digital Tourism (IACuDiT), with the theme "e;Recent Advancements in Tourism Business, Technology, and Social Sciences,"e; which was held from August 29 to 31, 2023, in Crete, Greece.

In today's data-driven world, understanding statistical models is crucial for effective analysis and decision making.

Group method of data handling (GMDH) is a typical inductive modeling method built on the principles of self-organization.

Growth curve models in longitudinal studies are widely used to model population size, body height, biomass, fungal growth, and other variables in the biological sciences, but these statistical methods for modeling growth curves and analyzing longitudinal data also extend to general statistics, economics, public health, demographics, epidemiology, SQC, sociology, nano-biotechnology, fluid mechanics, and other applied areas.

This volume brings together the main results in the field of Bayesian Optimization (BO), focusing on the last ten years and showing how, on the basic framework, new methods have been specialized to solve emerging problems from machine learning, artificial intelligence, and system optimization.

This book constitutes the revised selected papers from the 10th International Workshop on Enterprise Applications, Markets and Services in the Finance Industry, FinanceCom 2020, held in Helsinki, Finland, in August 2020.

This book constitutes the refereed proceedings of the Second International Meeting on Innovation for Systems Information and Decision meeting, INSID 2020, held in Recife, Brazil, in December 2020.

This book provides a comprehensive overview of various aspects of the development of smart cities from a secure, trusted, and reliable data transmission perspective.

This book provides significant conceptual and empirical contributions to the understanding of service science and the practices of service sectors in the wake of the fourth industrial revolution bringing together a collection of articles written by keynote and invited speakers at the 2nd Service Science Symposium held on 24 November 2019.

This book constitutes the proceedings papers of the 13th IFIP Working Conference on the Practice of Enterprise Modeling, held in Riga, Latvia, in November 2020.

 Deep Learning with R introduces deep learning and neural networks using the R programming language.

Years of experience in the area of Product Lifecycle Management (PLM) in industry, research and education form the basis for this overview.

Das Buch soll keine wissenschaftliche Abhandlungen über Theorien der Informatik oder der Organisationslehre liefern, sondern einen praxiserprobten Weg aufzeigen, wie man durch eine stufenweise, kostenoptimierte und risikoarme Erneuerung der bisherigen Anwendungen eine reaktionsfähige und kontinuierlich erneuerbare Anwendungslandschaft aufbauen und dadurch zu einer hochflexiblen und effizienten Anwendungslandschaft kommen kann.

Algorithmen Künstlicher Intelligenz werden stetig weiterentwickelt und kommen in immer mehr Anwendungen in Wirtschaft und Gesellschaft zum Einsatz.

This book explores conceptualizations of CSR and sustainability in the digital economy, focusing upon points of intersection between CSR and online communities.

Das bewusst kompakt gehaltene Buch zur Wirtschaftsinformatik unterstützt Praktiker, die sich einen schnellen und abgesicherten Überblick verschaffen wollen, ebenso wie mehrere Ebenen des Bildungssystems, von Hochschulen bis zu Berufsakademien.

This book constitutes revised papers from the five workshops which were held during June 2020 at the 23rd International Conference on Business Information Systems, BIS 2020.

This book constitutes the proceedings of the 19th International Conference on Perspectives in Business Informatics Research, BIR 2020.

This book introduces higher-degree research students and early career academics to scientific research as occurring in the field of information systems and adjacent fields, such as computer science, management science, organization science, and software engineering.

This book constitutes the refereed proceedings of the 19th IFIP WG 5.

This research monograph utilizes exact and Monte Carlo permutation statistical methods to generate probability values and measures of effect size for a variety of measures of association.

In recent years, digital business models have frequently been the subject of academic and practical discourse.

In recent decades, organizational stress researchers have repeatedly called for more longitudinal studies.

This book presents a general method for deriving higher-order statistics of multivariate distributions with simple algorithms that allow for actual calculations.

Rapidly developing Artificial Intelligence (AI) systems hold tremendous potential to change various domains and exert considerable influence on societies and organizations alike.

This book constitutes the proceedings of the 20th International Conference on Perspectives in Business Informatics Research, BIR 2021.

This book presents the current state of research in information systems and digital transformation.

This book presents the current state of research in information systems and digital transformation.

This book presents the current state of research in information systems and digital transformation.

This book treats intellectual capital, smart technologies, and digitalization processes as levers of corporate competitiveness and global value creation.

This book constitutes the proceedings of the BPM Forum of the 18th International Conference on Business Process Management, BPM 2020, which was planned to take place in Seville, Spain, in September 2020.

This book constitutes the thoroughly refereed proceedings of the CAiSE Forum 2020 which was held as part of the 32nd International Conference on Advanced Information Systems Engineering, CAiSE 2020, in June 2020.

This book shows how digital transformation has the power to revolutionize the way procurement operates, and discusses how especially buyer decisions are empowered through artificial intelligence.

This book offers a unique view of how innovation and competitiveness improve when organizations establish alliances with partners who have strong capabilities and broad social capital, allowing them to create value and growth as well as technological knowledge and legitimacy through new knowledge resources.

This book depicts a wide range of situations in which there exist finite form representations for the Meijer G and the Fox H functions.

This book collects peer-reviewed contributions on modern statistical methods and topics, stemming from the third workshop on Analytical Methods in Statistics, AMISTAT 2019, held in Liberec, Czech Republic, on September 16-19, 2019.

This book constitutes the refereed proceedings of the 20th International Conference on Group Decision and Negotiation, GDN 2020, which was planned to be held in Toronto, ON, Canada, during June 7-11, 2020.

This book presents strategies for analyzing qualitative and mixed methods data with MAXQDA software, and provides guidance on implementing a variety of research methods and approaches, e.

This proceedings volume highlights cutting-edge approaches for contemporary issues evolved in strategic marketing and the integration of theory and practice.

This book proposes that, within the automotive industry, revised marketing principles and innovative marketing strategies are needed to address more effectively the unprecedented challenges posed by the modern digital revolution.

Numerical Python by Robert Johansson shows you how to leverage the numerical and mathematical modules in Python and its Standard Library as well as popular open source numerical Python packages like NumPy, FiPy, matplotlib and more to numerically compute solutions and mathematically model applications in a number of areas like big data, cloud computing, financial engineering, business management and more.

Some probability problems are so difficult that they stump the smartest mathematicians.

Computational physics is a rapidly growing subfield of computational science, in large part because computers can solve previously intractable problems or simulate natural processes that do not have analytic solutions.