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Business industries depend on advanced models and tools that provide an optimal and objective decision-making process, ultimately guaranteeing improved competitiveness, reducing risk, and eliminating uncertainty. Thanks in part to the digital era of the modern world, reducing these conditions has become much more manageable. Advanced Models and Tools for Effective Decision Making Under Uncertainty and Risk Contexts provides research exploring the theoretical and practical aspects of effective decision making based not only on mathematical techniques, but also on those technological tools that are available nowadays in the Fourth Industrial Revolution. Featuring coverage on a broad range of topics such as industrial informatics, knowledge management, and production planning, this book is ideally designed for decision makers, researchers, engineers, academicians, and students.
In todays' competitive environments, only the most creative and innovative organizations are able to survive. These dynamic organizations continuously establish and develop strategies that leverage their creativity and their innovative abilities to attain long-term success and maintain their competitive edge. Further study on the uses and benefits of creative management in the business sector is required to ensure businesses not only survive but expand and flourish. Creativity Models for Innovation in Management and Engineering introduces innovative research on creativity and innovation in the management and engineering fields and considers the importance of having resilient and inventive leaders in the competitive business world. Covering a wide range of topics such as business performance, knowledge management, entrepreneurship, and agribusiness, this reference work is ideal for engineers, managers, business owners, policymakers, academicians, researchers, practitioners, scholars, researchers, instructors, and students.
It is critical to improve the asset management system implementation as well as economics and industrial decision making to ensure that a business may move smoothly internally. Maintenance management should be aligned to the activities of maintenance in accordance with key business strategies, which must be designed under the comprehensive approach of an asset management process. After transforming the priorities of the business into priorities of maintenance, maintenance managers will use their medium-team strategies to tackle potential weaknesses in the maintenance of the equipment in accordance with these objectives. Cases on Optimizing the Asset Management Process explains and summarizes the processes and the reference frame necessary for the implementation of the Maintenance Management Model (MMM). This book acts as an overview of the current state of the art in asset management, providing innovative tools and practices from the fourth industrial revolution. Presenting topics like criticality analysis, physical asset maintenance, and unified modelling language, this text is essential for industrial and manufacturing engineers, plant supervisors, academicians, researchers, advanced-level students, technology developers, and managers who make decisions in this field.
Cybersecurity is vital for all businesses, regardless of sector. With constant threats and potential online dangers, businesses must remain aware of the current research and information available to them in order to protect themselves and their employees. Maintaining tight cybersecurity can be difficult for businesses as there are so many moving parts to contend with, but remaining vigilant and having protective measures and training in place is essential for a successful company. The Research Anthology on Business Aspects of Cybersecurity considers all emerging aspects of cybersecurity in the business sector including frameworks, models, best practices, and emerging areas of interest. This comprehensive reference source is split into three sections with the first discussing audits and risk assessments that businesses can conduct to ensure the security of their systems. The second section covers training and awareness initiatives for staff that promotes a security culture. The final section discusses software and systems that can be used to secure and manage cybersecurity threats. Covering topics such as audit models, security behavior, and insider threats, it is ideal for businesses, business professionals, managers, security analysts, IT specialists, executives, academicians, researchers, computer engineers, graduate students, and practitioners.
International businesses struggle to be competitive and influential at the global market level. With the new ideas in the management and leadership disciplines, hard skills are losing or are believed to be losing their strategic relevance while soft skills are praised and highly sought after. The Handbook of Research on International Business and Models for Global Purpose-Driven Companies, a pivotal reference source, provides vital research on international business management strategies and applications within internal organizations that allow companies to strategically position themselves for increased success in the global economy. While highlighting topics such as organizational culture, internal communication, and generational workforce, this publication explores leadership disciplines as well as the methods of handling multicultural organizations. This book is ideally designed for entrepreneurs, executives, managers, business professionals, human resource officials, researchers, academicians, and students.
This book features a collection of high-quality research papers presented at the International Conference on Intelligent and Cloud Computing (ICICC 2021), held at Siksha 'O' Anusandhan (Deemed to be University), Bhubaneswar, India, during October 22–23, 2021. The book includes contributions on system and network design that can support existing and future applications and services. It covers topics such as cloud computing system and network design, optimization for cloud computing, networking, and applications, green cloud system design, cloud storage design and networking, storage security, cloud system models, big data storage, intra-cloud computing, mobile cloud system design, real-time resource reporting and monitoring for cloud management, machine learning, data mining for cloud computing, data-driven methodology and architecture, and networking for machine learning systems.
An introduction to decision making under uncertainty from a computational perspective, covering both theory and applications ranging from speech recognition to airborne collision avoidance. Many important problems involve decision making under uncertainty—that is, choosing actions based on often imperfect observations, with unknown outcomes. Designers of automated decision support systems must take into account the various sources of uncertainty while balancing the multiple objectives of the system. This book provides an introduction to the challenges of decision making under uncertainty from a computational perspective. It presents both the theory behind decision making models and algorithms and a collection of example applications that range from speech recognition to aircraft collision avoidance. Focusing on two methods for designing decision agents, planning and reinforcement learning, the book covers probabilistic models, introducing Bayesian networks as a graphical model that captures probabilistic relationships between variables; utility theory as a framework for understanding optimal decision making under uncertainty; Markov decision processes as a method for modeling sequential problems; model uncertainty; state uncertainty; and cooperative decision making involving multiple interacting agents. A series of applications shows how the theoretical concepts can be applied to systems for attribute-based person search, speech applications, collision avoidance, and unmanned aircraft persistent surveillance. Decision Making Under Uncertainty unifies research from different communities using consistent notation, and is accessible to students and researchers across engineering disciplines who have some prior exposure to probability theory and calculus. It can be used as a text for advanced undergraduate and graduate students in fields including computer science, aerospace and electrical engineering, and management science. It will also be a valuable professional reference for researchers in a variety of disciplines.
Quality should be treated as a culture of success in the market. Enterprises focused on quality will survive in the long term in this new environment because quality is what may create a real and robust link between a company and its clients, and these clients should always be considered the heart of any business; without them, there is neither option nor sense to continue any activity in a company. Quality Management for Competitive Advantage in Global Markets is an essential reference source that discusses the importance of quality practices and global market practices. With research that allows practitioners to improve their understanding of the strategic role of quality in the information and knowledge society, it focuses on describing a global economy formed by networks, organizations, teams, workgroups, information systems, and finally, actors in networked environments. Featuring research on topics such as consumer satisfaction, human capital, and quality management, the target audience of this book is composed of professionals and researchers working in the field of information and knowledge management in various disciplines including library, information and communication sciences, administrative sciences and management, education, adult education, sociology, computer science, and information technology. Moreover, the book provides insights and supports executives concerned with the management of expertise, knowledge, information, and organizational development in different types of work communities and environments.
With the globalization process, firms are seeking to expand their activities to international markets but are also “feeling” expanded competition from abroad. Small and medium-sized enterprises (SMEs), though seeking to expand abroad, have particularities that hinder their natural international expansion path due to particular barriers and challenges that most multinational firms have already overcome. Cases on Internationalization Challenges for SMEs provides a set of case studies on the internationalization of SMEs in order to share the latest empirical research findings in the field of internationalization in the context of a globalized world, and which considers a highly competitive international business setting. This includes examining the main reasons for the success or failure of the process of internationalization of SMEs and their inherent activities. Covering topics that include competitive advantage, export performance, and inward internationalization, this book targets managers, executives, and entrepreneurs concerned with how to adapt their companies to a fast-changing international business environment, how to conduct internationalization strategies, how to choose the most adequate international entry modes, and how to adapt their products and strategies to international markets. It is also suited for academicians, researchers, and students in the field of management.
This edition of Operational Research and Management Science Letters (ORMSL) consists of an annotated bibliography of fuzzy greedy search heuristic. The literature contains tutorials, surveys, conference proceedings, theses, and enhancements to the basic concept and its component of a hybrid metaheuristic, including industrial applications.