Aims to present the studies in the application of forecasting methodologies to such areas as sales, marketing, finance, health care, and strategic decision making.

The GCBME Book Series aims to promote the quality and methodical reach of the Global Conference on Business Management & Entrepreneurship, which is intended as a high-quality scientific contribution to the science of business management and entrepreneurship. The Contributions are expected to be the main reference articles on the topic of each book and have been subject to a strict peer review process conducted by experts in the fields. The conference provided opportunities for the delegates to exchange new ideas and implementation of experiences, to establish business or research connections and to find Global Partners for future collaboration. The conference and resulting volume in the book series is expected to be held and appear annually. The year 2019 theme of book and conference is "Transforming Sustainable Business In The Era Of Society 5.0". The ultimate goal of GCBME is to provide a medium forum for educators, researchers, scholars, managers, graduate students and professional business persons from the diverse cultural backgrounds, to present and discuss their research, knowledge and innovation within the fields of business, management and entrepreneurship. The GCBME conferences cover major thematic groups, yet opens to other relevant topics: Organizational Behavior, Innovation, Marketing Management, Financial Management and Accounting, Strategic Management, Entrepreneurship and Green Business.

Aims to present state-of-the-art studies in the application of forecasting methodologies to such areas as sales, marketing, and strategic decision making. The topics in this title include: sales and marketing, forecasting, new product forecasting, judgmentally based forecasting, the application of surveys to forecasting, and more.

Operations management is a tool by which companies can effectively meet customers’ needs using the least amount of resources necessary. With the emergence of sensors and smart metering, big data is becoming an intrinsic part of modern operations management. Applied Big Data Analytics in Operations Management enumerates the challenges and creative solutions and tools to apply when using big data in operations management. Outlining revolutionary concepts and applications that help businesses predict customer behavior along with applications of artificial neural networks, predictive analytics, and opinion mining on business management, this comprehensive publication is ideal for IT professionals, software engineers, business professionals, managers, and students of management.

This book analyzes new theories and practical approaches for promoting excellence in human resource management and leadership. It shows how the principles of creating shared value can be applied to ensure faster learning, training, business development and social renewal. In particular, it presents novel methods and tools for tackling the complexity of management and learning in both business organizations and society. Gathering the proceedings of the AHFE 2021 Conferences on Human Factors, Business Management and Society, and Human Factors in Management and Leadership, held virtually on July 25–29, 2021, from USA, this book provides researchers and professionals with extensive information, practical tools and inspiring ideas for achieving excellence in a broad spectrum of business and societal activities.

The volume contains latest research on software reliability assessment, testing, quality management, inventory management, mathematical modeling, analysis using soft computing techniques and management analytics. It links researcher and practitioner perspectives from different branches of engineering and management, and from around the world for a bird's eye view on the topics. The interdisciplinarity of engineering and management research is widely recognized and considered to be the most appropriate and significant in the fast changing dynamics of today's times. With insights from the volume, companies looking to drive decision making are provided actionable insight on each level and for every role using key indicators, to generate mobile-enabled scorecards, time-series based analysis using charts, and dashboards. At the same time, the book provides scholars with a platform to derive maximum utility in the area by subscribing to the idea of managing business through performance and business analytics.

Sustaining a competitive edge in today’s business world requires innovative approaches to product, service, and management systems design and performance. Advances in computing technologies have presented managers with additional challenges as well as further opportunities to enhance their business models. Business Transformation and Sustainability through Cloud System Implementation presents novel computing technologies designed for use in business and corporate environments, enabling managers and associates to make the most of the technologies at their disposal. This premier reference work seeks to alert firm management professionals and researchers to the potential risks and benefits associated with emerging technologies and guide firms on the proper selection, maintenance, and use of Web-based computing systems.

This new edition has been tailored exactly to the 2000 specifications and provides all the background information and activities required for the mandatory units of GNVQ Advanced Business. Written by two highly experienced authors, the book offers a clear well-illustrated text supported by: * Up-to-date case studies * Numerous activities * A clear summary of 'what you need to learn' at the start of each chapter * End-of-chapter tests

Globalization has transformed agri-food markets, creating a single global market with reduced trade barriers. In theory, this should bring increased food security, yet challenges persist. Small farmers often need help integrating into global sourcing networks and meeting stringent food safety regulations. Additionally, there is increasing pressure on businesses and governments to address the environmental and resource consequences of agri-food production. Advanced Computational Methods for Agri-Business Sustainability offers a comprehensive analysis of agricultural sector challenges and provides practical solutions. It identifies potential issues in agri-food management and supply chains, offers mitigation strategies, and highlights opportunities for sustainable development. The book aims to bridge the gap between theory and practice, providing insights for academics, policymakers, and industry professionals.