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This book constitutes the refereed proceedings of the 12th International Conference on Subject-Oriented Business Process Management, S-BPM ONE 2020, held in Bremen, Germany, in December 2020. Due to the COVID-19 pandemic the conference was held online. The 10 full papers and 5 short papers were thoroughy reviewed and selected from 25 submissions. The volume also presents 1 keynote paper. The papers are thematically organized according to the following sections: subject-oriented business processing – syntax and semantics; cyber-physical and assistance systems; process mining and the Internet of actors and behaviors; Industry 4.0; various views on business process management.
This book constitutes the refereed proceedings of the 14th International Conference on Subject-Oriented Business Process Management, S-BPM ONE 2023, held in Rostock, Germany, during May 31–June 1, 2023. The 10 full papers and 9 short papers included in this book were carefully reviewed and selected from 24 submissions. They were organized in topical sections as follows: management issues and people; development and requirements; modeling, technology and infrastructure.
This book contains the proceedings of two long-running events held along with the CAiSE conference relating to the areas of enterprise, business-process and information systems modeling: * the 22nd International Conference on Business Process Modeling, Development and Support, BPMDS 2021, and * the 26th International Conference on Exploring Modeling Methods for Systems Analysis and Development, EMMSAD 2021. The conferences were planned to take place in Melbourne, Australia, during June 28–29, 2021, but changed to an online format due to the COVID-19 pandemic. For BPMDS 10 full papers and 1 short paper were carefully reviewed and selected for publication from a total of 26 submissions; for EMMSAD 13 full papers and 1 short paper were accepted from 34 submissions. The papers were organized in topical sections as follows: BPMDS: Improving event data quality in coherence with business requirements; enhancing the value of data in processes improvement; event stream and predictive monitoring; modeling languages and reference models; EMMSAD: Enterprise modeling; handling models and modeling methods; threat and evidence modeling; and model-driven engineering and applications.
Managing the Digital Workplace in the Post-Pandemic provides a cutting-edge survey of digital organizational behaviour in the post-pandemic workplace, drawing from an international range of expertise. It introduces and guides students and practitioners through the current best practices, laboratory methods, policies and protocols in use during these times of rapid change to workplace practices. This book is essential reading for students, researchers and practitioners in business and management. The book draws on global expertise from its contributors while being suitable for class and educational use, with each chapter including further reading, chapter summaries and exercises. Tutors are supported with a set of instructor materials that include PowerPoint slides, a test bank and an instructor's manual. This text covers a wide range of themes in this fast-developing field, including: The effect of the pandemic on the digital workplace Gender and cyberbullying in the context of the digital workplace Digital ergonomics and productivity Digital conflict management
This book is intended to survey the Internet of Behavior (IoB). The book begins with the benefits and potential pitfalls of IoB. Today, IoB has huge potential in every sector of the world. There are numerous applications for IoB which benefit users as well as the business market in order to enhance the user experience. In this book, the benefits of IoB and its negative constraints are discussed in detail. It is a high time that IoB is to take its crown and ruled the world. The work of IoB is critical in keeping our data secure because it can currently identify all humans who attempt to steal someone’s data. Moreover, the business uses of IoB are in high demand. By leveraging promising technical improvements and advances in machine learning algorithms, IoB enables capture, analysis, comprehension, and response for all types of human behavior in a technique that enables the tracking and interpretation of the behavior. IoB can be very useful wherever the behavior, preferences, interests, and location of people need to be examined. On the other hand, an analytical study on consumers’ social and behavioral psychology and their influence on online purchasing is much needed. With the help of visualization tools such as Tableau and detailed reporting on selection patterns, the impact of social media on decision making and the relationship between personality and purchasing power in various age groups is found. The presented study lists major decision-making psychometric factors and highlights critical factors affecting online purchases. The role of IoB is to shape customer service through the use of artificial intelligence, cloud computing, data, smart analytics, machine learning, and other volatile technologies. The attractive components of this book are discussions of dynamic routing mechanisms to reduce energy consumption in software-defined networks; deep insight into Internet of Things (IoT) and IoB security and privacy concerns – applications and future challenges; sentiment analysis and feature reduction using an arboreal monkey compression algorithm with a deep modified neural network classifier; cybersecurity concerns for IoB; and identification of nutrients and microbial contamination in fruits and vegetables using a technology using the Internet of Behavior. There is no doubt that this book covers numerous interesting themes and details on the Internet of Behavior.
Digitalization and automation are leading to fundamental changes in the industrial landscape. In the German-speaking countries, this development is often summarized under the term Industry 4.0. Simultaneously, interaction technologies have made huge developments in the last decades. The use of mobile devices and touch screens is ubiquitous, augmented and virtual reality technologies have made their way into the market and new interaction concepts have become established. While new interaction technologies offer new possibilities for organizing or executing work in the context of Industry 4.0, the transformation of industrial processes also creates a need for new work practices. This book sheds light on the interplay of Industry 4.0 and new interaction technologies. It presents selected research articles on the topic of Human-Technology Interaction in the context of Industry 4.0. Researchers from various disciplines present the current state of research with regard to future interactions with production environments to develop a common vision of how to design future interactions in the industrial domain. In this context, various topics are covered: a detailed overview on assistive systems for supporting manual work is given, including technological and design aspects as well as implementation strategies. Industrial use-cases for extended reality (XR) technologies such as augmented and virtual reality (AR and VR) are presented, also covering aspects of how to author content in XR environments. The role of new work practices is examined, for example, by presenting concepts of gamification and human-machine teamwork for supporting well-being. Finally, topics of trust and technology acceptance are discussed in the context of Industry 4.0. Given this broad perspective, a vision is sketched of how to design future human-technology interactions in a way that realizes their full technical and human potential.
Management Information Systems provides comprehensive and integrative coverage of essential new technologies, information system applications, and their impact on business models and managerial decision-making in an exciting and interactive manner. The twelfth edition focuses on the major changes that have been made in information technology over the past two years, and includes new opening, closing, and Interactive Session cases.
The manufacturing industry will reap significant benefits from encouraging the development of digital manufacturing science and technology. Digital Manufacturing Science uses theorems, illustrations and tables to introduce the definition, theory architecture, main content, and key technologies of digital manufacturing science. Readers will be able to develop an in-depth understanding of the emergence and the development, the theoretical background, and the techniques and methods of digital manufacturing science. Furthermore, they will also be able to use the basic theories and key technologies described in Digital Manufacturing Science to solve practical engineering problems in modern manufacturing processes. Digital Manufacturing Science is aimed at advanced undergraduate and postgraduate students, academic researchers and researchers in the manufacturing industry. It allows readers to integrate the theories and technologies described with their own research works, and to propose new ideas and new methods to improve the theory and application of digital manufacturing science.
Focusing on the critical role IT plays in organizational development, the book shows how to employ action learning to improve the competitiveness of an organization. Defining the current IT problem from an operational and strategic perspective, it presents a collection of case studies that illustrate key learning issues. It details a dynamic model for effective IT management through adaptive learning techniques—supplying proven educational theories and practices to foster the required changes in your staff. It examines existing organizational learning theories and the historical problems that occurred with companies that have used them, as well as those that have failed to use them.