""There are never any shortcuts to success, but it is possible to follow the paths of those who have blazed a trail in their own fields of endeavor. Jan has created great success in the area of entrepreneurship.

If you wish to become an entrepreneur, you will find much in the pages of Jan's "Go Start Something" that will guide you to success. However, anyone can benefit from these 18 chapters of experience and learn from the examples Jan describes.

I believe the stories of succeeding against great odds, sacrificing personal comfort to put everything into your business, living according to your vision, putting in a full day's work day in and day out, and enjoying your life every moment can provide great inspiration. One of the most powerful forces in the world is the will of men and women who believe in themselves, who dare to hope and aim high, who go confidently after the things they want from life. Jan went after his dream and accomplished it, you can also achieve great success if you follow his Rules for Entrepreneurship. Go Start Something."" PROFESSOR JIM GIBBONS, PHD, Northwood University

Decision making tools are essential for the successful outcome of any organization. Recent advances in predictive analytics have aided in identifying particular points of leverage where critical decisions can be made. Emerging Methods in Predictive Analytics: Risk Management and Decision Making provides an interdisciplinary approach to predictive analytics; bringing together the fields of business, statistics, and information technology for effective decision making. Managers, business professionals, and decision makers in diverse fields will find the applications and cases presented in this text essential in providing new avenues for risk assessment, management, and predicting the future outcomes of their decisions.

While many social, economic, and political changes have occurred recently in internet public procurement and its decision support systems, there is still a lot of opportunity for improvement. Public Sector Transformation Processes and Internet Public Procurement: Decision Support Systems brings together research on different perspectives from academics and practitioners on the methods, theories, and practices involved in the growth and expansion of decision support systems as it relates to the public sector transformation process and internet public procurement.

This book covers several new areas in the growing field of analytics with some innovative applications in different business contexts, and consists of selected presentations at the 6th IIMA International Conference on Advanced Data Analysis, Business Analytics and Intelligence. The book is conceptually divided in seven parts. The first part gives expository briefs on some topics of current academic and practitioner interests, such as data streams, binary prediction and reliability shock models. In the second part, the contributions look at artificial intelligence applications with chapters related to explainable AI, personalized search and recommendation, and customer retention management. The third part deals with credit risk analytics, with chapters on optimization of credit limits and mitigation of agricultural lending risks. In its fourth part, the book explores analytics and data mining in the retail context. In the fifth part, the book presents some applications of analytics to operations management. This part has chapters related to improvement of furnace operations, forecasting food indices and analytics for improving student learning outcomes. The sixth part has contributions related to adaptive designs in clinical trials, stochastic comparisons of systems with heterogeneous components and stacking of models. The seventh and final part contains chapters related to finance and economics topics, such as role of infrastructure and taxation on economic growth of countries and connectedness of markets with heterogenous agents, The different themes ensure that the book would be of great value to practitioners, post-graduate students, research scholars and faculty teaching advanced business analytics courses.

Success. It's a goal that many seek to achieve. They see the limos, the fans, the front cover of major magazines as the ultimate prize. But is success really what it's cracked up to be? Sadly enough, it isn't. Successful people around the world are hiding from the glory, dodging greedy relatives, shunning star-struck commuters. Why? Because their peace of mind is under attack. How can they regain their time, their sanity, their normalcy? Failure. This humorous, ground-breaking "how-to" book will help all to see clearer that the simpler things in like are not that bad. And to achieve it one must fail, but fail in style.

Managing and Leading others in the workplace today can be a very challenging experience. With everything changing so quickly and dramatically, the ability to make the right decisions at the right time and for the right reasons is critically important. Employees need and want effective, management/leadership.

Asset management is becoming increasingly important to an organization's strategy, given its effects on cost, production, and quality. No matter the sector, important decisions are made based on techniques and theories that are thought to optimize results; asset management models and techniques could help maximize effectiveness while reducing risk. Optimum Decision Making in Asset Management posits that effective decision making can be augmented by asset management based on mathematical techniques and models. Resolving the problems associated with minimizing uncertainty, this publication outlines a myriad of methodologies, procedures, case studies, and management tools that can help any organization achieve world-class maintenance. This book is ideal for managers, manufacturing engineers, programmers, academics, and advanced management students.

The book presents the proceedings of the 4th EAI International Conference on Management of Manufacturing Systems (MMS 2019), which took place in Krynica Zdroj, Poland, on October 8-10, 2019. The conference covered Management of Manufacturing Systems with support for Industry 4.0, Logistics and Intelligent Manufacturing Systems and Applications, Cooperation management and its effective applications. Topics include RFID Applications, Economic Impacts in Logistics, ICT Support for Industry 4.0, Industrial and Smart Logistics, Intelligent Manufacturing Systems and Applications, and much more.

The Value TRAI is a four part classification which has been developed to enable any business entity, process, project or job to be broken down into its component value elements. This then provides a framework for the identification, prioritisation, evaluation and management of business risks. In addition to the value TRAI this book introduces a series of simple tools which address business risks: both threats and opportunities.The Author, Chris Duggleby, has spent over thirty years managing chemicals businesses around the world working with several internationally respected partners. His recent work focused on the management of Joint Ventures and the design of Management of Change processes for transformation projects. His first-hand knowledge of managing industrial business risks has been used in the design of the tools and processes described in this book.Using a standardised set of easy to apply risk management tools is fundamental to the introduction of an enterprise wide risk management system. This book, supported by the www.bizchangers.com website, describes these tools and how to apply them.

For courses on decision modeling through the use of spreadsheets. The perfect balance between decision modeling and spreadsheet use. It's important that textbooks support decision modeling courses by combining student's ability to logically model and analyze diverse decision-making scenarios with software-based solution procedures. Balakrishnan offers the perfect balance of the decision modeling process and the use of spreadsheets to set up and solve decision models. The third edition has been updated to reflect the latest version of Excel.

As there is a vast amount of information to consider when offering quality services, organisations have developed techniques for identifying risk factors to be taken into consideration when constructing effective business strategies. Developing Business Strategies and Identifying Risk Factors in Modern Organizations presents new methodologies currently being utilised to formulate and solve strategic issues in order to escape the jeopardy of possible business risks. By highlighting a multitude of sciences and their influences on modern organisations; this book is an essential reference for decision makers and researchers in business, industry, government, and academia.

That's what every business wants to be.  And that's why the U.S. Marines excel in every mission American throws at them, no matter how tough the odds.  In Corps Business, journalist David H. Freeman identifies the Marine's simple but devastatingly effective principles for managing people and resources -- and ultimately winning.  Freedman discusses such techniques as "the rule of three," "managing by end state," and the "70% solution," to show how they can be applied to business solutions.

Intervals of high-activity alternating with long low-activity periods can be found in many areas of daily life, with researchers coining the phenomenon as bursts. As burstiness has become prevalent in many fields, understanding it and knowing how to manage it are crucial in order to be able to get all the benefits associated with it. Burstiness Management for Smart, Sustainable and Inclusive Growth: Emerging Research and Opportunities provides innovative insights into burstiness's role in decision-making in business and its function as a predictor of performance. The content within this publication covers topics such as burstiness in business and e-business applications, as well as consumer behavior and sustainable development. It is a vital reference source for business managers, business professionals, academicians, researchers, and graduate-level students interested in understanding how burstiness and its consequences are processed in diverse and dynamic environments.

In clear, readable language, consultant and researcher Kevin Desouza accomplishes an unlikely feat: explaining artificial intelligence to nonspecialists, in a way that experts will recognize and accept as correct and immediately applicable. Workers in knowledge management are relatively isolated from each other, businesspeople are still unconvinced that artificial intelligence has much to offer, and engineers creating the latest algorithm or device seldom consider its value for businesspeople--Desouza seeks to change all that.

He maintains that knowledge will be traded like physical goods, and that businesses must leverage knowledge resources within its organizations to survive in a highly competitive marketplace. Introducing us the concepts and significance of knowledge management, he shows that incorporating artificial intelligence computer-based techniques into business settings can provide truly significant gains in productivity. This book is among the first of its kind to provide a comprehensive one-stop guide to the basics of knowledge management, plus a lucid explanation of A.I., and how to use it in almost all types of organizational settings.

This book is dedicated to the systematization and development of models, methods, and algorithms for queuing systems with correlated arrivals. After first setting up the basic tools needed for the study of queuing theory, the authors concentrate on complicated systems: multi-server systems with phase type distribution of service time or single-server queues with arbitrary distribution of service time or semi-Markovian service. They pay special attention to practically important retrial queues, tandem queues, and queues with unreliable servers. Mathematical models of networks and queuing systems are widely used for the study and optimization of various technical, physical, economic, industrial, and administrative systems, and this book will be valuable for researchers, graduate students, and practitioners in these domains.

The book introduces readers to some of the latest advances in and approaches to decision-making methods based on thermodynamic characters and hesitant fuzzy linguistic preference relations. By investigating the decision-making methods with thermodynamic parameters based on different information representatives, the book offers readers a novel perspective for solving problems under uncertainty. By exploring the consistency and consensus of hesitant fuzzy linguistic preference relations, the book gives readers efficient ways for preference analysis under uncertainty, chiefly intended for researchers and practitioners working in operations research, multi-attribute decision making, preference analysis, etc. The book can also be used as supplementary material for postgraduate and senior-year undergraduate students of the relevant professional institutions.

This book presents state-of-the-art research on responsible operations practices. The book identifies the challenges and opportunities arising from the shift towards responsible business operations and examines these issues through the lenses of operations management, emphasizing the supply chain transformations associated with these changes. Developing a responsible business model presents a great opportunity for firms to differentiate in the marketplace through innovative models and insights around responsible operations and supply chain management. To do so, companies in many industries are changing their practices around sourcing materials, supplier compliance around processes and labor, scientific and sustainable approaches to farming in emerging countries, managing counterfeiting risks, and public health management. Responsible Business Operations: Challenges and Opportunities is divided into three sections. Section 1 focuses on environmental responsibility for companies. It also explores alternative energy solutions for both the developed and developing world, as well as worldwide carbon footprint reduction efforts. Section 2 is dedicated to social responsibility, with chapters covering topics including improving agricultural food chains and humanitarian challenges for businesses. Finally Section 3 promotes ethical responsibility, analyzing ways to improve supplier compliance to product, process and ethical standards.

This book presents a diverse range of recent operational research techniques that have been applied to agriculture and tourism management. It covers both the primary sector of agriculture and agricultural economics, and the tertiary sector of the tourism industry. Findings and lessons learned from these innovations can be readily applied to various other contexts. The book chiefly focuses on cooperative management issues, and on developing solutions to provide decision support in multi-criteria scenarios.