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Group as a Whole : Learning for Leadership, Authority and Organisation
The focus of this volume is on groups. The intention is to go beyond taking things at face value by going deeper and exploring the underlying, less evident phenomena concerning groups which occur beneath the surface.The more frequently used approach is to study the behaviour of individuals in a group to create an understanding of group behaviour.The approach taken here is to study groups from the perspective of the group as a whole, which provides a totally different perspective.Thus, while individual actions and relationships in groups is a valid field of study, the group as a whole is another level and unit of study. The book begins with pre-conference activity, particularly the need for ‘authority’, and a discussion on the importance and understanding of the group as a whole.The subsequent chapters follow the usual structure of IGO group relations conferences (GRCs).The aim is to develop a deeper understanding of group relations learning.This is in no way a substitute for the vital learning from experiential opportunities provided by actual GRCs.By attending, we are able to learn from the way(s) we take up our roles or are mobilised by the group to take up roles, and to understand that our valency can result in us being used repeatedly in the same way.The learning is rich and valuable because it happens in the here and now in direct experience. The book is the perfect guide to group relations conferences for experienced and novice participants alike to enhance their group relations learning experiences.It serves as an excellent introduction to GRCs for the novice and is ideal for those who have attended GRCs to explore their own experiences and emotions.The learning opportunities provide powerful insights to individuals and other group members.Everything that happens at a GRC is done for the learning of the members.
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Learning for Decision and Control in Stochastic Networks
This book introduces the Learning-Augmented Network Optimization (LANO) paradigm, which interconnects network optimization with the emerging AI theory and algorithms and has been receiving a growing attention in network research.The authors present the topic based on a general stochastic network optimization model, and review several important theoretical tools that are widely adopted in network research, including convex optimization, the drift method, and mean-field analysis.The book then covers several popular learning-based methods, i.e., learning-augmented drift, multi-armed bandit and reinforcement learning, along with applications in networks where the techniques have been successfully applied.The authors also provide a discussion on potential future directions and challenges.
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Leadership and Strategic Management : Decision-Making in Times of Change
Managers are facing unprecedented complexity, volatility, and ambiguity, quickly adapting their decision-making, leadership, vision, and strategies.Megatrends and forces of change have profound implications for business models, processes, and organizational structures, calling into question current paradigms and designing future change.Additionally, unprecedented disruptions, unforecastable in their nature, have increased the need for resilience and strategic flexibility. The book aims at tackling the potential interrelations among environmental transformations, strategic decisions, and leadership to better understand the role of external and internal factors on the effectiveness of managers.The book defines “change”: its extent, nature, and characteristics.Then, it focuses on decision-making, the role of potential cognitive biases, and how the interaction with the perception of determined environmental events affects the way in which decision-makers decide to implement specific strategies.Finally, in the light of waves of strategic change, it reviews theories on leadership and transformation by looking at the role and traits of leaders. Since environmental transformations have the potential to “disrupt” not only strategies but also decision-making processes and leadership, the book provides a review on the issue and propose an integrative framework which can be useful for both scholars and managers, especially in the fields of decision-making and strategy.
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Management, Leadership and Entrepreneurship in Pharmacy
Management, Leadership and Entrepreneurship in Pharmacy provides the knowledge, skills and confidence to assume managerial and leadership roles throughout the pharmacy profession, and to unleash full entrepreneurial potential.It brings the principles of managerial sciences to the practice of pharmacy in diverse and modern day settings. The new book is split into four sections, the first focuses on the core concepts that apply to managers, leaders and entrepreneurs including emotional intelligence and conflict management. Section two summarises managerial competencies including traditional topics of inventory management and financial literacy, but also subjects such as workplace design and workflow management. Section three focuses on leadership competencies that transcend day-to-day managerial responsibilities such as leading change and addressing ‘wicked’ problems (such as sustainability). Section four focuses on innovation and entrepreneurship, exploring topics such as the psychology of innovation, business planning and networking. The book contains helpful, supportive examples and useful resources all designed to empower, support and motivate the next generation of managers, leaders and entrepreneurs in pharmacy.
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Which federal states have sole decision-making authority?
In a federal system like the United States, federal states that have sole decision-making authority are often referred to as "unitary states." In these states, the central government holds all decision-making power and delegates limited authority to lower levels of government. Examples of unitary states include France, Japan, and the United Kingdom, where the central government has the final say on most policy matters. This centralized system contrasts with federal states like the U.S. and Germany, where power is shared between the central government and individual states or regions.
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What are good learning techniques for time management?
Good learning techniques for time management include creating a daily or weekly schedule, prioritizing tasks based on importance and deadlines, breaking down large tasks into smaller, more manageable ones, and setting specific goals and deadlines for each task. Additionally, using tools such as calendars, to-do lists, and time tracking apps can help in staying organized and on track. It's also important to regularly review and adjust your schedule as needed to ensure optimal time management.
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Is distance learning in online marketing management worthwhile?
Distance learning in online marketing management can be worthwhile for individuals who are looking to enhance their skills and knowledge in the field without the constraints of traditional classroom settings. It offers flexibility, convenience, and the ability to learn at one's own pace. Additionally, online marketing management is a rapidly evolving field, and distance learning can provide access to the latest trends and tools in the industry. However, it is important to choose a reputable and accredited program to ensure the quality of education and the value of the certification.
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How can citizens' councils be equipped with political decision-making authority?
Citizens' councils can be equipped with political decision-making authority by implementing a system of direct democracy, where citizens have the power to directly participate in decision-making processes. This can be achieved through mechanisms such as citizen initiatives, referendums, and participatory budgeting, which allow citizens to propose, vote on, and influence policy decisions. Additionally, citizens' councils can be given formal recognition and support from government institutions, ensuring that their recommendations and decisions are taken into consideration in the political decision-making process. Furthermore, providing citizens' councils with access to resources, information, and expertise can help to enhance their capacity to make informed and effective decisions.
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Decision-Making Models : A Perspective of Fuzzy Logic and Machine Learning
Decision Making Models: A Perspective of Fuzzy Logic and Machine Learning presents the latest developments in the field of uncertain mathematics and decision science.The book aims to deliver a systematic exposure to soft computing techniques in fuzzy mathematics as well as artificial intelligence in the context of real-life problems and is designed to address recent techniques to solving uncertain problems encountered specifically in decision sciences.Researchers, professors, software engineers, and graduate students working in the fields of applied mathematics, software engineering, and artificial intelligence will find this book useful to acquire a solid foundation in fuzzy logic and fuzzy systems. Other areas of note include optimization problems and artificial intelligence practices, as well as how to analyze IoT solutions with applications and develop decision-making mechanisms realized under uncertainty.
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The 5% Rule of Leadership : Using Lean Decision-Making to Drive Trust, Ownership, and Team Productivity
NATIONAL BESTSELLERMaintain focus on the first, critical 5% of any project and multiply your results In The 5% Rule of Leadership: Using Lean Decision-Making to Drive Trust, Ownership, and Team Productivity, veteran technology leader and executive Anil Singhal delivers a transformative approach to project management and company leadership.He explains how to focus your efforts on the first, critical stages of any project or initiative to multiply your results and efficacy, delegating the rest to their capable team. The book is a blueprint for building resilient organizations, departments, teams, and projects that can withstand today's unpredictable and volatile environment.You'll learn to avoid micromanagement and maintain your focus on the big, strategic picture, while a well-managed team brings you the results you need. You'll also find: Strategies for determining how to properly set priorities and satisfy employees, customers, and shareholdersTechniques for building trust amongst your workforce, your leadership, and other stakeholdersMyth-busting advice that blows up misleading and counterproductive habits held by businesspeople and leaders around the world Perfect for managers, directors, executives, entrepreneurs, founders, and other business leaders, The 5% Rule of Leadership will be invaluable to anyone who wants to lead with values and purpose—and deliver remarkable results.
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The Responsibility of Reason in Leadership, Management, and Life Long Learning
This book is both a standalone and/or sequel to The Value of Voice in Shared Leadership and Organizational Behavior and Management and Leadership Skills That Affect Small Business Survival: A Resource Guide for Small Businesses Everywhere.These three books can work together to support the sales of multiple books or independently from one another.The book is unique in that it combines the ideas of management, leadership, shared voice, organizational behavior, and historical philosophy viewpoints that are easily understood by anyone who reads this book, so it can create a responsibility of reason that is required to help all businesses/organizations/schools and government agencies succeed beyond the dreaded 5 year failure point that has plagued many businesses since their inception.
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Machine Learning for Business Analytics : Real-Time Data Analysis for Decision-Making
Machine Learning is an integral tool in a business analyst’s arsenal because the rate at which data is being generated from different sources is increasing and working on complex unstructured data is becoming inevitable.Data collection, data cleaning, and data mining are rapidly becoming more difficult to analyze than just importing information from a primary or secondary source.The machine learning model plays a crucial role in predicting the future performance and results of a company.In real-time, data collection and data wrangling are the important steps in deploying the models.Analytics is a tool for visualizing and steering data and statistics.Business analysts can work with different datasets -- choosing an appropriate machine learning model results in accurate analyzing, forecasting the future, and making informed decisions.The global machine learning market was valued at $1.58 billion in 2017 and is expected to reach $20.83 billion in 2024 -- growing at a CAGR of 44.06% between 2017 and 2024.The authors have compiled important knowledge on machine learning real-time applications in business analytics.This book enables readers to get broad knowledge in the field of machine learning models and to carry out their future research work.The future trends of machine learning for business analytics are explained with real case studies.Essentially, this book acts as a guide to all business analysts.The authors blend the basics of data analytics and machine learning and extend its application to business analytics.This book acts as a superb introduction and covers the applications and implications of machine learning.The authors provide first-hand experience of the applications of machine learning for business analytics in the section on real-time analysis.Case studies put the theory into practice so that you may receive hands-on experience with machine learning and data analytics.This book is a valuable source for practitioners, industrialists, technologists, and researchers.
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Which games are suitable for learning controller control?
Games that are suitable for learning controller control include platformers like Super Mario Bros or Celeste, racing games like Mario Kart or Forza Horizon, and action-adventure games like The Legend of Zelda: Breath of the Wild or Dark Souls. These games require precise movements and quick reflexes, making them great for improving hand-eye coordination and mastering controller inputs. Additionally, sports games like FIFA or NBA 2K can also help players practice precise button inputs and timing.
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Why deep learning compared to machine learning?
Deep learning is a subset of machine learning that uses neural networks to learn from data. It is more powerful than traditional machine learning techniques because it can automatically discover and learn from complex patterns and features in the data without the need for explicit feature engineering. Deep learning can handle large amounts of data and is capable of learning from unstructured data such as images, audio, and text, making it more versatile and effective for a wide range of applications. Additionally, deep learning models can continuously improve their performance with more data, making them more adaptable and scalable compared to traditional machine learning models.
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What does central authority and authoritarian leadership mean?
Central authority refers to a system where power and decision-making are concentrated in a single entity or group, such as a government or leader. Authoritarian leadership is a style of leadership where the leader holds all the power and makes decisions without input from others. In an authoritarian system, there is little to no room for dissent or opposition, and individuals are expected to follow orders without question.
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Is distance learning as recognized as traditional learning?
Distance learning is becoming increasingly recognized and accepted as a legitimate form of education, especially with the advancements in technology and the widespread availability of online courses. However, traditional learning still holds a higher level of recognition and credibility in many circles, such as certain industries or academic institutions. Ultimately, the recognition of distance learning versus traditional learning can vary depending on the context and the perceptions of individuals or organizations.
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